<![CDATA[ IET Generation, Transmission & Distribution - new TOC ]]>
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TOC Alert for Publication# 4082359 2017January 23<![CDATA[Day-ahead unit commitment model for microgrids]]>2 emissions produced. A storage device is added where the charge and discharge schedule is calculated according to both objectives. In addition, as a part of the demand side participation strategy, a charging schedule was determined for the electric vehicles (EV) in order to increase the system security and further reduce the costs and emissions. A congestion management approach is also introduced, which eliminates congestions by effective unit scheduling according to congestion signals provided by the distribution system operators. The complete day-ahead time horizon is divided in 96 time steps (each with a 15 min time span), which makes the UC problem more complicated. The studied system includes renewable energy resources, a storage unit, two microturbines, a fuel cell and EVs. The results demonstrate that the proposed model is robust and is able to reduce the microgrid operating costs and emissions by optimal scheduling of the microgrid units, and is able to take into account local congestion problems.]]>11119746<![CDATA[Transmission lines differential protection based on an alternative incremental complex power alpha plane]]>1111017598<![CDATA[Ground potential rise of faulty substations having equal and unequal spacing grounding grids conductors]]>1111826971<![CDATA[Security constrained economic dispatch of wind-integrated power system considering optimal system state selection]]>N-1 security assessment SCED is given to validate security and economic improvement of the proposed method.]]>1112736623<![CDATA[Sensitivity-based relaxation and decomposition method to dynamic reactive power optimisation considering DGs in active distribution networks]]>1113748705<![CDATA[Transformer model with saturation effects for frequency-domain transients simulation]]>1114956568<![CDATA[Optimisation model for online generators when a new generator is about to get started during power system restoration process]]>t, the variable-constrained optimisation problem is converted to a constrained optimal power flow problem, which can be solved using common optimisation approaches. Applying the proposed model and method, the optimisation method is discussed considering the characteristics of generators during power system black start. Numerical results show that the algorithm is effective and can significantly reduce the restoration time. The algorithm described here is applied to the Guangdong power grid self-healing decision-making system.]]>1115763570<![CDATA[Multi-contingency TSCOPF based on full-system simulation]]>dq-axis model. A program is developed that automatically reads the system data from standard files, builds the multiple-contingency TSCOPF model on a high-level modelling system and solves it using a non-heuristic interior point algorithm. This approach facilitates the application of the model to a variety of systems and scenarios. A TSC based on the speed deviation instead of the rotor angle is proposed. Results obtained on several standard systems are shown. The proposed method is applied to the northwest Spanish transmission system to obtain an optimised dispatch that ensures TS after any of a number of faults, and to assess the economic impact of fault-clearing times at different substations.]]>1116472871<![CDATA[Strategies to improve the voltage quality in active low-voltage distribution networks using DSO's assets]]>1117381953<![CDATA[Reconfiguration of distribution networks considering coordination of the protective devices]]>1118292600<![CDATA[Arrester-less DC fault current limiter based on pre-charged external capacitors for half-bridge modular multilevel converters]]>11193101856<![CDATA[Improvement of backward/forward sweep power flow method by using modified breadth-first search strategy]]>111102109411<![CDATA[Insulation condition ranking of transformers through principal component analysis and analytic hierarchy process]]>111110117573<![CDATA[Adaptive threshold based new active islanding protection scheme for multiple PV based microgrid application]]>1111181321500<![CDATA[Method for classification of PQ events based on discrete Gabor transform with FIR window and T2FK-based SVM and its experimental verification]]>111133141810<![CDATA[Flexible power system operation accommodating uncertain wind power generation using transmission topology control: an improved linearised AC SCUC model]]>111142153476<![CDATA[Sequence currents based adaptive protection approach for DNs with distributed energy resources]]>1111541651108<![CDATA[Implementation of lossy FTRs for perfect risk hedging under the marginal loss pricing]]>111166173444<![CDATA[Development of a new fault zone identification scheme for busbar using logistic regression classifier]]>111174184749<![CDATA[Time-delay stability control strategy considering the jump characteristic of power system]]>111185192701<![CDATA[MGSO optimised TID-based GCSC damping controller in coordination with AGC for diverse-GENCOs multi-DISCOs power system with considering GDB and GRC non-linearity effects]]>1111932081963<![CDATA[Study on the hybrid ion-flow field of HVDC and HVAC transmission lines by the nodal discontinuous Galerkin time-domain method]]>111209217765<![CDATA[Evaluation of numerical indices for the assessment of transformer frequency response]]>111218227695<![CDATA[Modelling dynamic demand response for plug-in hybrid electric vehicles based on real-time charging pricing]]>111228235539<![CDATA[Consideration of small signal stability in multi-objective DS reconfiguration in the presence of distributed generation]]>111236245367<![CDATA[Provisional internal and external power exchange to support remote sustainable microgrids in the course of power deficiency]]>1112462602116<![CDATA[Risk based multi-objective dynamic expansion planning of sub-transmission network in order to have eco-reliability, environmental friendly network with higher power quality]]>111261271790<![CDATA[Recloser time–current–voltage characteristic for fuse saving in distribution networks with DG]]>111272279211<![CDATA[Flux linkage estimation based loss of excitation relay for synchronous generator]]>111280288878<![CDATA[Fractional order control of static series synchronous compensator with parametric uncertainty]]>1112893021120