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Power Systems, IEEE Transactions on

Issue 4 • Date Nov. 2013

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  • Table of contents

    Publication Year: 2013 , Page(s): C1 - 3523
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  • IEEE Transactions on Power Systems publication information

    Publication Year: 2013 , Page(s): C2
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  • Modeling and Solution of the Large-Scale Security-Constrained Unit Commitment

    Publication Year: 2013 , Page(s): 3524 - 3533
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (589 KB) |  | HTML iconHTML  

    Security-constrained unit commitment (SCUC), as one of key components in power system operation, is being widely applied in vertically integrated utilities and restructured power systems. The efficient solution framework is to implement iterations between a master problem (unit commitment) and subproblems (network security evaluations). In industrial applications, both Lagrangian relaxation and mixed-integer programming are commonly applied for the unit commitment problem, and both linear sensitivity factor and Benders cut methods are used to generate additional constraints in the phase of network security evaluations. This paper evaluates capabilities and performances of each algorithm through technical discussion and numerical testing. Special topics on the large-scale SCUC engine development are also discussed in this paper, such as input data screening, inactive constrains elimination, contingency management, infeasibility handling, parallel computing, and model simplification. This paper will benefit academic researchers, software developers, and system operators when they design, develop and assess effective models and algorithms for solving large-scale SCUC problems. View full abstract»

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  • Equilibrium-Inspired Multiple Group Search Optimization With Synergistic Learning for Multiobjective Electric Power Dispatch

    Publication Year: 2013 , Page(s): 3534 - 3545
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2033 KB) |  | HTML iconHTML  

    This paper proposes a novel multiple group search optimizer (MGSO) to solve the highly constrained multiobjective power dispatch (MOPD) problem with conflicting and competing objectives. The algorithm employs a stochastic learning automata based synergistic learning to allow information interaction and credit assignment among multi-groups for cooperative search. An alternative constraint handling, which separates constraints and objectives with different searching strategies, has been adopted to produce a more uniformly-distributed Pareto-optimal front (PF). Moreover, two enhancements, namely space reduction and chaotic sequence dispersion, have also been incorporated to facilitate local exploitation and global exploration of Pareto-optimal solutions in the convergence process. Lastly, Nash equilibrium point is first introduced to identify the best compromise solution from the PF. The performance of MGSO has been fully evaluated and benchmarked on the IEEE 30-bus 6-generator system and 118-bus 54-generator system. Comparisons with previous Pareto heuristic techniques demonstrated the superiority of the proposed MGSO and confirm its capability to cope with practical multiobjective optimization problems with multiple high-dimensional objective functions. View full abstract»

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  • Optimal Coordination of Plug-In Electric Vehicles in Power Grids With Cost-Benefit Analysis—Part I: Enabling Techniques

    Publication Year: 2013 , Page(s): 3546 - 3555
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1412 KB) |  | HTML iconHTML  

    Plug-in electric vehicles (PEVs) appear to offer a promising option for mitigating greenhouse emission. However, uncoordinated PEV charging can weaken the reliability of power systems. The proper accommodation of PEVs in a power grid imposes many challenges on system planning and operations. This work aims to investigate optimal PEV coordination strategies with cost-benefit analysis. In Part I, we first present a new method to calculate the charging load of PEVs with a modified Latin hypercube sampling (LHS) method for handling the stochastic property of PEVs. We then propose a new two-stage optimization model to discover the optimal charging states of PEVs in a given day. Using this model, the peak load with charging load of PEVs is minimized in the first stage and the load fluctuation is minimized in the second-stage with peak load being fixed as the value obtained in the first stage. An algorithm based on linear mixed-integer programming is provided as a suitable solution method with fast computation. Finally, we present a new method to calculate the benefit and cost for a PEV charging and discharging coordination strategy from a social welfare approach. These methods are useful for developing PEV coordination strategies in power system planning and supporting PEV-related policy making. View full abstract»

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  • Optimal Coordination of Plug-in Electric Vehicles in Power Grids With Cost-Benefit Analysis—Part II: A Case Study in China

    Publication Year: 2013 , Page(s): 3556 - 3565
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1564 KB) |  | HTML iconHTML  

    Continuing with a set of enabling techniques for the optimal coordination of plug-in electric vehicles (PEVs) in Part I, we present a case study in this paper using techniques based on the data collected in the Beijing-Tianjin-Tangshan Region (BTTR) China to discover optimal PEV coordination strategies and assess the attractiveness of these strategies. In Part II, we first present the charging characteristics for different categories of PEVs in BTTR and predict the optimal seasonal daily loads with PEVs under different PEV penetration levels using a two-stage optimization model in both 2020 and 2030. The simulation results indicate that optimal PEV coordination effectively reduces the peak load and smooths the load curve. Finally, we present a cost-benefit analysis of optimal coordination strategies by taking a social welfare approach. The analysis shows that the optimal coordination strategies are beneficial in terms of the reduction in capital investment in power grid expansion and that the attractiveness of a coordination strategy is related to the coordination level. The results also show that the fully coordinated charging and vehicle to grid are not the most attractive strategies. This case study is useful for better understanding the costs and benefits of PEV coordination strategies and for supporting PEV-related decision and policy making from a power system planning perspective. View full abstract»

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  • Impact of Wind Power Generation on European Cross-Border Power Flows

    Publication Year: 2013 , Page(s): 3566 - 3575
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1409 KB) |  | HTML iconHTML  

    A statistical analysis is performed in order to investigate the relationship between wind power production and cross-border power transmission in Europe. A dataset including physical hourly cross-border power exchanges between European countries as dependent variables is used. Principal component analysis is employed in order to reduce the problem dimension. Then, nonlinear relationships between forecast wind power production as well as spot price in Germany, by far the largest wind power producer in Europe, and power flows are modeled using local polynomial regression. We find that both forecast wind power production and spot price in Germany have substantial nonlinear effects on power transmission on a European scale. View full abstract»

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  • Optimal Load Control via Frequency Measurement and Neighborhood Area Communication

    Publication Year: 2013 , Page(s): 3576 - 3587
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2702 KB) |  | HTML iconHTML  

    We propose a decentralized optimal load control scheme that provides contingency reserve in the presence of sudden generation drop. The scheme takes advantage of flexibility of frequency responsive loads and neighborhood area communication to solve an optimal load control problem that balances load and generation while minimizing end-use disutility of participating in load control. Local frequency measurements enable individual loads to estimate the total mismatch between load and generation. Neighborhood area communication helps mitigate effects of inconsistencies in the local estimates due to frequency measurement noise. Case studies show that the proposed scheme can balance load with generation and restore the frequency within seconds of time after a generation drop, even when the loads use a highly simplified power system model in their algorithms. We also investigate tradeoffs between the amount of communication and the performance of the proposed scheme through simulation-based experiments. View full abstract»

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  • An MILP Based Formulation for Short-Term Hydro Generation Scheduling With Analysis of the Linearization Effects on Solution Feasibility

    Publication Year: 2013 , Page(s): 3588 - 3599
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1798 KB) |  | HTML iconHTML  

    Mixed integer linear programming (MILP) based formulations and solution methods for short-term hydro generation scheduling (HGS) have been widely adopted by researchers, hydropower producers, and system operators in recent years. This approach calls for the nonlinear forebay level, tailrace level, penstock loss, and hydropower production functions to be replaced with their piecewise linear approximations. However, the effects of the linearization of the nonlinear functions and related constraints on solution feasibility have not been fully discussed in the literature. In this paper, the issues concerning solution feasibility are discussed in detail and a method is presented to ensure that the solution obtained based on the approximated MILP formulation remains feasible for the original nonlinear formulation. Furthermore, it is found that the real number water delay can be handled in the formulation without destroying the linear structure of the water balance constraints. Numerical testing results show that the method presented in this paper is effective. View full abstract»

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  • Application of Novel Charged System Search With Real Number String for Distribution System Loss Minimization

    Publication Year: 2013 , Page(s): 3600 - 3609
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1408 KB) |  | HTML iconHTML  

    Distribution system reconfiguration can be achieved by changing the statuses of switches. By altering the topology of a distribution system, the real power loss can be reduced. This paper proposes a novel charged system search (CSS) algorithm, the particle moving evaluation mechanism CSS (PMEM-CSS), for determining the switching strategy in order to solve the distribution system loss minimization problems. In CSS, the position of each charged particle is a solution that represents a specific topology of a distribution system. During the problem-solving process, new solutions are generated in CSS. In order to avoid generating illegal solutions, a novel decoding scheme is proposed in this paper. The proposed decoding scheme can also improve the search performance when PMEM-CSS seeks the best solution. Three different distribution systems, a 33-bus, a 66-bus, and a TPC 248-bus system are carried out in this paper. The performance of different algorithms (GA, PSO, CSS, and PMEM-CSS) is compared. The simulation results show that not only the efficiency of the proposed method is the best among these algorithms bust also the quality of the solution is superior to other algorithms. View full abstract»

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  • Detection and Statistics of Wind Power Ramps

    Publication Year: 2013 , Page(s): 3610 - 3620
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2001 KB) |  | HTML iconHTML  

    Ramps events are a significant source of uncertainty in wind power generation. Developing statistical models from historical data for wind power ramps is important for designing intelligent distribution and market mechanisms for a future electric grid. This requires robust detection schemes for identifying wind ramps in data. In this paper, we propose an optimal detection technique for identifying wind ramps for large time series. The technique relies on defining a family of scoring functions associated with any rule for defining ramps on an interval of the time series. A dynamic programming recursion is then used to find all such ramp events. Identified wind ramps are used to propose a new stochastic framework to characterize wind ramps. Extensive statistical analysis is performed based on this framework, characterizing ramping duration and rates as well as other key features needed for evaluating the impact of wind ramps in the operation of the power system. In particular, evaluation of new ancillary services and wind ramp forecasting can benefit from the proposed approach. View full abstract»

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  • A Simulation Scheme for AGC Relevant Studies

    Publication Year: 2013 , Page(s): 3621 - 3628
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (812 KB) |  | HTML iconHTML  

    Simulation scheme constructed by transient models is widely used for interconnected power system studies. However, it has shortcomings when used in automatic generation control (AGC) and AGC relevant fields. In this paper, a novel simulation scheme designed for AGC and its relevant studies is presented. The scheme uses dynamic energy balancing equation and a single central frequency as core algorithm. Moreover, models described by algebraic equations are adopted instead of transient models described by differential equations. The simplified models reduce computational power requirement to about 3% of transient models and require fewer parameters. By ignoring transient dynamics and inter-area oscillations which are insignificant in AGC timescale, the presented scheme achieves high computational efficiency and acceptable accuracy making it acceptable for up to year-long simulation. At the end of the paper, comparative tests are performed to provide differences, validity and accuracy of proposed scheme. View full abstract»

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  • Reactive Power Handling by a Multi-Objective Teaching Learning Optimizer Based on Decomposition

    Publication Year: 2013 , Page(s): 3629 - 3637
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1504 KB) |  | HTML iconHTML  

    The teaching learning-based optimization (TLBO) is a population-based optimization algorithm suitable for solving complex problems. TLBO imitates the interaction between a teacher and her/his students. The global solution search process of this approach consists of two phases: the teacher- and the learner-phase. This paper proposes a multi-objective teaching learning algorithm based on decomposition (MOTLA/D) for solving a reactive power handling problem. The proposed method is validated on three test systems, and it is compared with respect to a state-of-the-art multi-objective evolutionary algorithm based on decomposition (MOEA/D). View full abstract»

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  • Determination of Power Distribution Network Configuration Using Non-Revisiting Genetic Algorithm

    Publication Year: 2013 , Page(s): 3638 - 3648
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1448 KB) |  | HTML iconHTML  

    A non-revisiting genetic algorithm (NrGA) was used to determine distribution network configuration for loss reduction. By advocating binary space partitioning (BSP) to divide the search space and employing a novel BSP tree archive to store all the solutions that have been explored before, NrGA can quickly check for revisits by communicating with BSP tree archive when a new solution is generated by genetic algorithm (GA), and can mutate an alternative unvisited solution through a novel adaptive mutation mechanism that based on BSP tree while a revisit has occurred, which achieves no duplicates in the entire search. A method for getting independent loops of distribution network was realized using breadth-first search algorithm. Furthermore, the extended intermediate crossover mode, which requires no tuning parameter such as crossover rate and extends the crossover results, is employed for improving the performance of NrGA in solving distribution network configuration problem. The proposed approach has been successfully tested on three sample systems and three practical systems. Numerical studies have revealed its accuracy and efficient performance. View full abstract»

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  • Dynamic Reactive Power Control of Islanded Microgrids

    Publication Year: 2013 , Page(s): 3649 - 3657
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1669 KB) |  | HTML iconHTML  

    Reactive power control is a fundamental issue in microgrids, especially during islanded mode operation with no support from the main grid. Lack of infinite bus, tightly coupled generation and consumption, and existence of nondispatchable intermittent renewable power sources reinforce the need for a new VVC scheme. This paper presents a new model predictive control (MPC)-based dynamic voltage and var control (VVC) scheme, which includes the dynamics of the microgrid in the VVC formulation. The MPC-based controller uses a simplified voltage prediction model to predict the voltage behavior of the system for a time horizon ahead. The advantage of this method is that it can avoid unstable voltage conditions in microgrids by prediction of the instability ahead of time. This method can also avoid voltage drops or swells in any of the phases of the system since the model can predict the voltage of each phase separately. Also, the presented method can be implemented online so it can efficiently use the time-variant reactive capabilities of the distributed generators to compensate for reactive power needs of the system. This controller is tested for different operating conditions of the microgrid and the simulation results confirm that the MPC controller successfully keeps the system stable and achieves a smooth voltage profile. View full abstract»

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  • Decentralized Participation of Flexible Demand in Electricity Markets—Part I: Market Mechanism

    Publication Year: 2013 , Page(s): 3658 - 3666
    Cited by:  Papers (3)
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1134 KB) |  | HTML iconHTML  

    In the deregulated power systems setting, the realization of the significant demand flexibility potential should be coupled with its integration in electricity markets. Centralized market mechanisms raise communication, computational and privacy issues while existing dynamic pricing schemes fail to realize the actual value of demand flexibility. In this two-part paper, a novel day-ahead pool market mechanism is proposed, combining the solution optimality of centralized mechanisms with the decentralized demand participation structure of dynamic pricing schemes and based on Lagrangian relaxation (LR) principles. Part I presents the theoretical background, algorithmic approaches and suitable examples to address challenges associated with the application of the mechanism and provides an implementation framework. Non-convexities in reschedulable demand participants' price response and their impacts on the ability of the basic LR structure to reach feasible market clearing solutions are identified and a simple yet effective LR heuristic method is developed to produce both feasible and high quality solutions by limiting the concentrated shift of reschedulable demand to the same low-priced time periods. View full abstract»

    Open Access
  • Decentralized Participation of Flexible Demand in Electricity Markets—Part II: Application With Electric Vehicles and Heat Pump Systems

    Publication Year: 2013 , Page(s): 3667 - 3674
    Cited by:  Papers (8)
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1050 KB) |  | HTML iconHTML  

    Realizing the significant demand flexibility potential in deregulated power systems requires its suitable integration in electricity markets. Part I of this work has presented the theoretical, algorithmic and implementation aspects of a novel pool market mechanism achieving this goal by combining the advantages of centralized mechanisms and dynamic pricing schemes, based on Lagrangian relaxation (LR) principles. Part II demonstrates the applicability of the mechanism, considering two reschedulable demand technologies with significant potential, namely electric vehicles with flexible charging capability and electric heat pump systems accompanied by heat storage for space heating. The price response sub-problems of these technologies are formulated, including detailed models of their operational properties. Suitable case studies on a model of the U.K. system are examined in order to validate the properties of the proposed mechanism and illustrate and analyze the benefits associated with the market participation of the considered technologies. View full abstract»

    Open Access
  • Reactive Power Coordination of Shipboard Power Systems in Presence of Pulsed Loads

    Publication Year: 2013 , Page(s): 3675 - 3682
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1856 KB) |  | HTML iconHTML  

    Voltage and reactive power control is a fundamental issue in all-electric shipboard power systems (SPS). However, coordination between generation and propulsion management to match reactive power is poor in current SPS designs. This paper presents a new model predictive control based dynamic Volt/Var control scheme to control the voltage in the system. This method uses a dynamic model of the sources and loads and finds the optimal reactive control inputs to the system to minimize the voltage deviations in the future. Since this method uses prediction of the reactive demand of pulsed loads, it is able to achieve a smooth voltage profile in the SPS in presence of pulsed power loads. This method is also able to control voltage of the system during propulsion motor startup. The controller is tested in presence of high power pulsed loads in the system. The results demonstrate that the dynamic reactive controller is able to keep the voltage profile of the system smooth and within system limits. View full abstract»

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  • An Enhanced Screening Curves Method for Considering Thermal Cycling Operation Costs in Generation Expansion Planning

    Publication Year: 2013 , Page(s): 3683 - 3691
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1496 KB) |  | HTML iconHTML  

    Generation capacity expansion trends have clearly evolved in the last decades. In the present context, renewable generation technologies are expected to reach large penetration levels. Among other effects, these technologies are changing the scheduling regime (and thus the unit-commitment costs) of the rest of the generating facilities, increasing for instance the need of cycling conventional thermal generation. In this paper we further develop the traditional screening curves technique so as to incorporate a sound representation of the cycling operation of thermal units. The so-resulting approach provides a more comprehensive representation of thermal operation while keeping the screening curves well-known capability to provide valuable analytic insights on the capacity expansion problem. View full abstract»

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  • Transmission and Generation Expansion to Mitigate Seismic Risk

    Publication Year: 2013 , Page(s): 3692 - 3701
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1217 KB) |  | HTML iconHTML  

    This paper develops a two-stage stochastic program and solution procedure to optimize the selection of capacity enhancement strategies to increase the resilience of electric power systems to earthquakes. The model explicitly considers the range of earthquake events that are possible and, for each, an approximation of the distribution of damage to be experienced. This is important because electric power systems are spatially distributed; hence their performance is driven by the distribution of damage to the components. We test this solution procedure against the nonlinear integer solver in LINGO 13 and apply the formulation and solution strategy to the Eastern Interconnect where the seismic hazard primarily stems from the New Madrid Seismic Zone. We show the feasibility of optimized capacity expansion to improve the resilience of large-scale power systems with respect to large earthquakes. View full abstract»

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  • Real-Time Monitoring of Short-Term Voltage Stability Using PMU Data

    Publication Year: 2013 , Page(s): 3702 - 3711
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1637 KB) |  | HTML iconHTML  

    We develop a model-free approach for the short-term voltage stability monitoring of a power system. Finite time Lyapunov exponents are used as the certificate of stability. The time-series voltage data from phasor measurement units (PMU) are used to compute the Lyapunov exponent to predict voltage stability in real time. Issues related to practical implementation of the proposed method, such as phasor measurement noise, communication delay, and the finite window size for prediction, are also discussed. Furthermore, the stability certificate in the form of Lyapunov exponents is also used to determine the stability/instability contributions of the individual buses to the overall system stability and for computation of critical clearing time. Simulation results are provided for the IEEE 162-bus system to demonstrate the application of the developed method. View full abstract»

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  • Probabilistic Analysis of Small-Signal Rotor Angle/Voltage Stability of Large-Scale AC/DC Power Systems as Affected by Grid-Connected Offshore Wind Generation

    Publication Year: 2013 , Page(s): 3712 - 3719
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (919 KB) |  | HTML iconHTML  

    This paper investigates the probabilistic small-signal rotor angle/voltage stability of an AC/DC power system to which offshore wind generation is connected through a multi-terminal HVDC (MTDC) network. The paper applies an analytical method based on multi-point linearization to improve the accuracy of assessment of system probabilistic stability. It proposes to examine the probabilistic small-signal voltage stability of the AC/DC power system as the voltage stability is always a concern of HVDC network. The participation factor is then employed to further analyze this phenomenon and give effective remedial measures. In the paper, an example of 16-machine AC/DC power system to which three offshore wind farms is connected through aN MTDC network is presented. The proposed method in the paper is compared with the conventional Gram-Charlier expansion-based method and the nonlinear Monte Carlo simulation. View full abstract»

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  • Global Optimization of Non-Convex Hydro-Thermal Coordination Based on Semidefinite Programming

    Publication Year: 2013 , Page(s): 3720 - 3728
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1520 KB) |  | HTML iconHTML  

    In order to reduce the fuel cost of thermal units, a semidefinite programming (SDP) method is used to solve a hydrothermal coordination (HTC) optimization problem. By manipulating the structure of decision variable matrix, the original nonconvex problem is reformulated into a convex SDP relaxation model without sacrificing the nonlinear relation among hydropower generation, reservoir storage volume, and discharge water. A global minimum is therefore guaranteed and well-developed convex optimization theories can thus be employed to solve the problem. Both sparse matrix techniques and a simplified SDP model are discussed to reduce computational cost. One mostly used HTC case is employed to test the performance of the proposed method. Detailed comparisons between the proposed and other methods show that the final result of SDP model is by far the best result ever. In addition, a large-sized HTC case shows the potential of SDP in practical use. Finally, we prove that as a relaxation technique, the SDP solution, which satisfies all the constraints, is indeed the optimal solution of the original nonconvex problem. View full abstract»

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  • Convergence Property of the Measurement Gross Error Correction in Power System State Estimation, Using Geometrical Background

    Publication Year: 2013 , Page(s): 3729 - 3736
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1244 KB) |  | HTML iconHTML  

    In this paper it is shown that once the measurements with gross errors are detected and identified, the geometrical approach to recover gross errors in power system state estimation, as we have previously proposed, is a convergent process. For the purpose of correcting the measurement gross errors, the measurement residuals are computed, and then the measurement gross errors are composed. For the detection and identification of the measurements with gross errors, the composed measurement error in the normalized form (CMEN) is used. The measurement magnitude corrections otherwise are performed using the composed normalized error (CNE). To support the thesis that, after the detection and identification of the measurements containing gross errors, the measurement correction is a convergent procedure, the generalization of the largest normalized error test is also provided. A two-bus power network is used to show in a didactic way the behavior of the gross error correction. The IEEE 14-bus system and the 45-bus equivalent of Brazil south are used to perform the tests for the multiple measurement gross errors case. Many gross error scenarios with different redundancy levels, for multiple gross error situations, have been tested. The measurement correction is made one at a time. View full abstract»

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  • Modeling Market Power by Natural Gas Producers and Its Impact on the Power System

    Publication Year: 2013 , Page(s): 3737 - 3746
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2113 KB) |  | HTML iconHTML  

    Strategic behavior by natural gas producers may influence the operation as well as the development of an electricity system. Within this paper a computational game theoretic investment model is presented which allows assessing market power by natural gas producers and its effects on the electricity market under consideration of emission markets. The model is formulated as a mixed complementarity problem. It uses typical time segments to represent both seasonal load fluctuations on the natural gas market and load fluctuations within a day on the electricity market. Investment is possible in natural gas production and LNG infrastructure as well as power plants. A test case is presented covering three regions and simultaneously optimizing power plant dispatch and utilization of transmission lines on the power market as well as supply, transport and storage on the natural gas market. We compute prices, production volumes and power plant utilization for two different market power specifications to show the impact of oligopolistic market behavior. View full abstract»

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Aims & Scope

Covers the requirements, planning, analysis, reliability, operation, and economics of electric generating, transmission, and distribution systems for general industrial, commercial, public, and domestic consumption.

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Editor-in-Chief
Antonio J. Conejo
The Ohio State University