Optimal integration of DGs into radial distribution network in the presence of plug-in electric vehicles to minimize daily active power losses and to improve the voltage profile of the system using bioinspired optimization algorithms  

作　　者：Satish Kumar Injeti Vinod Kumar Thunuguntla 

机构地区：[1]Department of Electrical Engineering,National Institute of Technology Warangal,Telengana State 506004,India

出　　处：《Protection and Control of Modern Power Systems》2020年第1期21-35,共15页现代电力系统保护与控制（英文）

基　　金：Proposal Number:EEQ-2016-000263,Financially supported by Department of Science and Technology(DST),Science and Engineering Research Board(SERB),Govt.of India,New Delhi,India.

摘　　要：Purpose:The increase in plug-in electric vehicles(PEVs)is likely to see a noteworthy impact on the distribution system due to high electric power consumption during charging and uncertainty in charging behavior.To address this problem,the present work mainly focuses on optimal integration of distributed generators(DG)into radial distribution systems in the presence of PEV loads with their charging behavior under daily load pattern including load models by considering the daily(24 h)power loss and voltage improvement of the system as objectives for better system performance.Design/methodology/approach:To achieve the desired outcomes,an efficient weighted factor multi-objective function is modeled.Particle Swarm Optimization(PSO)and Butterfly Optimization(BO)algorithms are selected and implemented to minimize the objectives of the system.A repetitive backward-forward sweep-based load flow has been introduced to calculate the daily power loss and bus voltages of the radial distribution system.The simulations are carried out using MATLAB software.Findings:The simulation outcomes reveal that the proposed approach definitely improved the system performance in all aspects.Among PSO and BO,BO is comparatively successful in achieving the desired objectives.Originality/value:The main contribution of this paper is the formulation of the multi-objective function that can address daily active power loss and voltage deviation under 24-h load pattern including grouping of residential,industrial and commercial loads.Introduction of repetitive backward-forward sweep-based load flow and the modeling of PEV load with two different charging scenarios.

关 键 词：Plug-in electric vehicles(PEVs) Distributed generators(DGs) Repetitive distribution power flow Particle swarm optimization algorithm(PSO) Butterfly optimization(BO) Daily active power loss 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]