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TOC Alert for Publication# 5165391 2017October 16<![CDATA[Table of Contents]]>84C11350198<![CDATA[IEEE Transactions on Sustainable Energy]]>84C2C258<![CDATA[Co-Optimization Scheme for Distributed Energy Resource Planning in Community Microgrids]]>2 emissions from coal-based power plants. This paper presents a co-optimization strategy for distributed energy resource planning to minimize total annualized cost at the maximal fuel savings. Furthermore, the proposed scheme aids the community microgrids in satisfying the requirements of U.S. Department of Energy (DOE) and state renewable energy mandates. The method of Lagrange multipliers is employed to maximize fuel savings by satisfying Karush-Kuhn-Tucker conditions. With the Fourier transform and particle swarm optimization, the right mix of distributed energy resources is determined to decrease the annualized cost. A case study to test the proposed scheme for a community microgrid is presented. To validate its effectiveness, an economic justification of the solution and its comparison with HOMER Pro are also illustrated.]]>84135113602009<![CDATA[Decentralized Solution for Combined Heat and Power Dispatch Through Benders Decomposition]]>8413611372807<![CDATA[Harmonic Assessment for Wind Parks Based on Sensitivity Analysis]]>84137313821824<![CDATA[A Statistical Model for Hourly Large-Scale Wind and Photovoltaic Generation in New Locations]]>8413831393854<![CDATA[Impact of Public Aggregate Wind Forecasts on Electricity Market Outcomes]]>8413941405824<![CDATA[Analysis of Energy Curtailment and Capacity Overinstallation to Maximize Wind Turbine Profit Considering Electricity Price–Wind Correlation]]>84140614141255<![CDATA[Multi-Objective Bilevel Coordinated Planning of Distributed Generation and Distribution Network Frame Based on Multiscenario Technique Considering Timing Characteristics]]>84141514291821<![CDATA[Coordinated Control Method of Voltage and Reactive Power for Active Distribution Networks Based on Soft Open Point]]>84143014421453<![CDATA[A Decentralized Control Strategy for Autonomous Transient Power Sharing and State-of-Charge Recovery in Hybrid Energy Storage Systems]]>84144314521037<![CDATA[Current-Based Gear Fault Detection for Wind Turbine Gearboxes]]>8414531462850<![CDATA[Wind Turbine Structural Modeling Consideration for Dynamic Studies of DFIG Based System]]>84146314721056<![CDATA[SSR Mitigation With a New Control of PV Solar Farm as STATCOM (PV-STATCOM)]]>84147314831301<![CDATA[Artificial Neural Network for Control and Grid Integration of Residential Solar Photovoltaic Systems]]>84148414951969<![CDATA[A New Asymmetric Multilevel Inverter Topology Suitable for Solar PV Applications With Varying Irradiance]]>84149615061652<![CDATA[A Sustainable Energy Management System for Isolated Microgrids]]>2 emission models for fossil-fuel-based distributed generator units are developed considering their individual emission characteristic and fuel consumption. These models are then integrated within a microgrid energy management system (EMS) model. Constant energy, demand shifting load models are further integrated in the EMS to examine the possible impact of demand response (DR) on the total system emissions and economics of a microgrid. Thus, the impacts of including the developed emission models on the operation of an isolated microgrid, equivalent CO_{2} emissions, and costs are examined considering five different operating strategies. The proposed operating strategies are validated on a modified CIGRE medium voltage benchmark system. The results obtained highlight the effectiveness of the proposed EMS and also demonstrate the impact of DR on emissions and costs.]]>84150715171338<![CDATA[Multiresonant Feedback Control of a Three-Degree-of-Freedom Wave Energy Converter]]>8415181527598<![CDATA[Ordinal Optimization Technique for Three-Phase Distribution Network State Estimation Including Discrete Variables]]>8415281535836<![CDATA[Day-Ahead Prediction of Bihourly Solar Radiance With a Markov Switch Approach]]>84153615471183<![CDATA[Stochastic Optimal Scheduling Based on Scenario Analysis for Wind Farms]]>84154815591212<![CDATA[Volt-VAr Control and Energy Storage Device Operation to Improve the Electric Vehicle Charging Coordination in Unbalanced Distribution Networks]]>8415601570580<![CDATA[Improving Renewable Energy Forecasting With a Grid of Numerical Weather Predictions]]>84157115802314<![CDATA[PLL-Induced Modal Resonance of Grid-Connected PMSGs With the Power System Electromechanical Oscillation Modes]]>84158115911710<![CDATA[A Markov-Chain-Based Availability Model of Offshore Wind Turbine Considering Accessibility Problems]]>84159216001135<![CDATA[Estimation of Solar Irradiance on Solar Fields: An Analytical Approach and Experimental Results]]>8416011608861<![CDATA[Control Techniques With System Efficiency Comparison for Microwind Turbines]]>84160916172089<![CDATA[Control of a Realistic Wave Energy Converter Model Using Least-Squares Policy Iteration]]>84161816281544<![CDATA[Damping Inter-Area Oscillations With Large-Scale PV Plant by Modified Multiple-Model Adaptive Control Strategy]]>84162916362742<![CDATA[A Combined Reliability Model of VSC-HVDC Connected Offshore Wind Farms Considering Wind Speed Correlation]]>84163716461409<![CDATA[Linear Operation of Photovoltaic Array With Directly Connected Lithium-Ion Batteries]]>84164716571603<![CDATA[State of Charge Estimation of Vanadium Redox Flow Battery Based on Sliding Mode Observer and Dynamic Model Including Capacity Fading Factor]]>8416581667872<![CDATA[Design of Wind Turbine Dynamic Trip-Off Risk Alarming Mechanism for Large-Scale Wind Farms]]>84166816781271<![CDATA[Aggregation of Distributed Energy Resources Under the Concept of Multienergy Players in Local Energy Systems]]>84167916931446<![CDATA[Coordinated TCSC Allocation and Network Reinforcements Planning With Wind Power]]>8416941705667<![CDATA[Analysis of Series-DC Offshore Wind Plants with Aerodynamic Wake Effects]]>84170617141267<![CDATA[Multi-Agent Optimal Allocation of Energy Storage Systems in Distribution Systems]]>84171517251099<![CDATA[Operation Scheduling of Battery Storage Systems in Joint Energy and Ancillary Services Markets]]>8417261735863<![CDATA[Lifetime Test Design for Second-Use Electric Vehicle Batteries in Residential Applications]]>84173617461486<![CDATA[A Versatile Mixture Distribution and Its Application in Economic Dispatch with Multiple Wind Farms]]>84174717621603<![CDATA[Model-Based MPPT for Shaded and Mismatched Modules of Photovoltaic Farm]]>84176317711046<![CDATA[Modification of DFIG's Active Power Control Loop for Speed Control Enhancement and Inertial Frequency Response]]>84177217823392<![CDATA[Four-Parameter Models for Wind Farm Power Curves and Power Probability Density Functions]]>8417831784345<![CDATA[IEEE Transactions on Sustainable Energy]]>84C3C349<![CDATA[Information for Authors]]>84C4C453