Active Distribution System Reinforcement Planning With EV Charging Stations-Part II: Numerical Results

被引:20
作者
Ehsan, Ali [1 ,2 ]
Yang, Qiang [1 ,3 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China
[2] COMSATS Univ Islamabad, Dept Elect Engn, Islamabad 45550, Pakistan
[3] Zhejiang Univ, Zhejiang Lab, Hangzhou 310027, Peoples R China
基金
中国国家自然科学基金;
关键词
Planning; Substations; Investment; Uncertainty; Capacitors; Electric vehicle charging; Photovoltaic systems; Distributed generation; electric vehicle charging stations; multistage expansion planning; heuristic moment matching; ELECTRICAL DISTRIBUTION-SYSTEMS; GENERATION;
D O I
10.1109/TSTE.2019.2915383
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The second part of this two-paper series discusses two case-studies to confirm the effectiveness of the scenario-based stochastic model developed in the first part for the multistage joint expansion planning of distribution systems and electric vehicle charging stations. Numerical results obtained in the 18-bus distribution system confirm the effectiveness of proposed approach through the minimization of total investment and operational costs, and the adequate characterization of uncertainties. The proposed solution determines the optimal construction/reinforcement of substations, electric vehicle charging stations and feeders, and the placement of distributed generators and capacitor banks along the three-stage planning horizon. The comparative analysis of proposed approach, against the deterministic and robust approaches; confirms its superiority in dealing with the uncertainties of wind and photovoltaic generation, and conventional loads and electric vehicle demands. Finally, the scalability of proposed approach is confirmed using the IEEE 123-bus distribution system.
引用
收藏
页码:979 / 987
页数:9
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