Reactive power optimization of a distribution network with high-penetration of wind and solar renewable energy and electric vehicles

[1]  Xiao Shun Zhang,et al.  Dropout Deep Neural Network Assisted Transfer Learning for Bi-Objective Pareto AGC Dispatch , 2023, IEEE Transactions on Power Systems.

[2]  I. Hofsajer,et al.  An optimization planning framework for allocating multiple distributed energy resources and electric vehicle charging stations in distribution networks , 2022, Applied Energy.

[3]  Zhun Fan,et al.  Cooperative co-evolutionary algorithm for multi-objective optimization problems with changing decision variables , 2022, Inf. Sci..

[4]  Mojtaba Beiraghi,et al.  Optimal allocation of photovoltaic/wind energy system in distribution network using meta-heuristic algorithm , 2021, Appl. Soft Comput..

[5]  Dipti Srinivasan,et al.  A Dual-Population-Based Evolutionary Algorithm for Constrained Multiobjective Optimization , 2021, IEEE Transactions on Evolutionary Computation.

[6]  Xuezhi Wu,et al.  Voltage regulation methods for active distribution networks considering the reactive power optimization of substations , 2021 .

[7]  Tao Zhang,et al.  A Coevolutionary Framework for Constrained Multiobjective Optimization Problems , 2021, IEEE Transactions on Evolutionary Computation.

[8]  Bo Yang,et al.  Bi-objective optimization of real-time AGC dispatch in a performance-based frequency regulation market , 2020 .

[9]  Wenchuan Wu,et al.  A Linear Branch Flow Model for Radial Distribution Networks and Its Application to Reactive Power Optimization and Network Reconfiguration , 2020, IEEE Transactions on Smart Grid.

[10]  Provas Kumar Roy,et al.  Application of hybrid multi-objective moth flame optimization technique for optimal performance of hybrid micro-grid system , 2020, Appl. Soft Comput..

[11]  Hui Li,et al.  Reactive Power optimization for Distribution Network Based on Improved Bacterial Chemotaxis Particle Swarm optimization , 2019, 2019 12th International Symposium on Computational Intelligence and Design (ISCID).

[12]  Chen Shi,et al.  Reactive Power Optimization of a Distribution System Based on Scene Matching and Deep Belief Network , 2019, Energies.

[13]  Jie Ruan,et al.  Push and Pull Search Embedded in an M2M Framework for Solving Constrained Multi-objective Optimization Problems , 2019, Swarm Evol. Comput..

[14]  Kunpeng Zhou,et al.  Reactive Power Optimization of Wind Farm Considering Reactive Power Regulation Capacity of Wind Generators , 2019, 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia).

[15]  Wenchuan Wu,et al.  Distributed multi‐area load flow for multi‐microgrid systems , 2019, IET Generation, Transmission & Distribution.

[16]  Yong Wang,et al.  Evolutionary Constrained Multiobjective Optimization: Test Suite Construction and Performance Comparisons , 2019, IEEE Transactions on Evolutionary Computation.

[17]  Tiago Neves Sequeira,et al.  Renewable energy and politics: A systematic review and new evidence , 2018, Journal of Cleaner Production.

[18]  Вестник КемГУ.  Network , 2018, Definitions.

[19]  Huiming Wang,et al.  Applications of multi-objective dimension-based firefly algorithm to optimize the power losses, emission, and cost in power systems , 2018, Appl. Soft Comput..

[20]  Xuesong Zhou,et al.  Reactive Power Compensation Method for Distribution Network from Electric Vehicles , 2018, 2018 37th Chinese Control Conference (CCC).

[21]  Manoj Datta,et al.  Reactive Power Management in Renewable Rich Power Grids: A Review of Grid-Codes, Renewable Generators, Support Devices, Control Strategies and Optimization Algorithms , 2018, IEEE Access.

[22]  Hisao Ishibuchi,et al.  A Framework for Large-Scale Multiobjective Optimization Based on Problem Transformation , 2018, IEEE Transactions on Evolutionary Computation.

[23]  Matthew J. Burke,et al.  Political power and renewable energy futures: A critical review , 2017 .

[24]  Qingfu Zhang,et al.  Push and Pull Search for Solving Constrained Multi-objective Optimization Problems , 2017, Swarm Evol. Comput..

[25]  Marco Liserre,et al.  Reactive Power Flow Control for PV Inverters Voltage Support in LV Distribution Networks , 2017, IEEE Transactions on Smart Grid.

[26]  Qingfu Zhang,et al.  Difficulty Adjustable and Scalable Constrained Multiobjective Test Problem Toolkit , 2016, Evolutionary Computation.

[27]  Ahmad Zahedi,et al.  Review of control strategies for voltage regulation of the smart distribution network with high penetration of renewable distributed generation , 2016 .

[28]  Yibing Liu,et al.  A Fully Distributed Reactive Power Optimization and Control Method for Active Distribution Networks , 2014, IEEE Transactions on Smart Grid.

[29]  Zhiwei Gao,et al.  Analysis of the combined impact of small-scale wind generators and electric vehicles on future power networks , 2012, 2012 47th International Universities Power Engineering Conference (UPEC).

[30]  Ganesh K. Venayagamoorthy,et al.  Wide area control for improving stability of a power system with plug-in electric vehicles , 2010 .

[31]  D. Santos-Martin,et al.  Reactive power capability of doubly fed asynchronous generators , 2008 .

[32]  David C. Yu,et al.  An Economic Dispatch Model Incorporating Wind Power , 2008, IEEE Transactions on Energy Conversion.

[33]  Xiong Xin-yin,et al.  A Parallel PSO Approach to Multi-Objective Reactive Power Optimization with Static Voltage Stability Consideration , 2006, 2005/2006 IEEE/PES Transmission and Distribution Conference and Exhibition.

[34]  K. Iba.  Reactive power optimization by genetic algorithm , 1993, Conference Proceedings Power Industry Computer Application Conference.

[35]  Weihao Hu,et al.  Three-stage relaxation-weightsum-correction based probabilistic reactive power optimization in the distribution network with multiple wind generators , 2022, International Journal of Electrical Power & Energy Systems.

[36]  Mohammad Shahidehpour,et al.  Distributed coordinated active and reactive power control of wind farms based on model predictive control , 2019 .

[37]  Abbas Rabiee,et al.  Voltage stability constrained multi-objective optimal reactive power dispatch under load and wind power uncertainties: A stochastic approach , 2016 .

[38]  Hsan Hadj Abdallah,et al.  Economic Dispatch for Power System included Wind and Solar Thermal energy , 2009 .