Miscellaneous Energy Profile Management Scheme for Optimal Integration of Electric Vehicles in a Distribution Network Considering Renewable Energy Sources

被引:3
作者
Adetunji, Kayode E. [1 ]
Hofsajer, Ivan [1 ]
Abu-Mahfouz, Adnan M. [2 ]
Cheng, Ling [1 ]
机构
[1] Univ Witwatersrand, Sch Elect & Informat Engn, Johannesburg, South Africa
[2] Council Sci & Ind Res CSIR, Pretoria, South Africa
来源
2021 SOUTHERN AFRICAN UNIVERSITIES POWER ENGINEERING CONFERENCE/ROBOTICS AND MECHATRONICS/PATTERN RECOGNITION ASSOCIATION OF SOUTH AFRICA (SAUPEC/ROBMECH/PRASA) | 2021年
关键词
Electric vehicles; Energy management; Energy scheduling; Hybrid metaheuristic algorithms; Multi-objective optimization framework; Power loss minimization; Smart grids; Vehicle to Grid (V2G);
D O I
10.1109/SAUPEC/RobMech/PRASA52254.2021.9377012
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The integration of renewable energy and electric vehicles in smart grids aims to improve the grid network and reduce carbon emissions. In this regard, this study presents a new Energy Management Scheme (EMS) for the optimal charging and discharging of electric vehicles in a photovoltaic-present distribution network based on the availability of solar energy and power from the grid. For effective scheduling, the model splits a distribution network into residential and commercial areas, which are handled separately by two Electric Vehicle (EV) aggregators. A newly developed hybrid algorithm, named Chaotic Whale Optimization Algorithm and Gravitational Search Algorithm (CWOAGSA), is integrated into a multiobjective framework to simultaneously minimize power loss, improve voltage stability, and reduce carbon emissions. Simulation results show that the proposed model can inject real power at a 60% EV penetration level without destabilizing the distribution network. The comparison of the CWOAGSA to the WOA, PSO, and GA shows a better minimization of real power loss. The CWOAGSA minimizes the total real power network losses with a 55% margin from the increased power loss due to the uncoordinated scheduling, and a 7% margin to the WOA.
引用
收藏
页数:6
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