电动汽车充换放储一体化电站选址定容
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  • 英文篇名:Locating and Sizing of Electric Vehicle Charging-swappingdischarging-storage Integrated Station
  • 作者:何晨可 ; 韦钢 ; 朱兰 ; 包伟涔 ; 龚博杰
  • 英文作者:HE Chenke;WEI Gang;ZHU Lan;BAO Weicen;GONG Bojie;Department of Electrical Engineering, Shanghai University of Electrical Power;
  • 关键词:EV时空负荷模型 ; 充换放储一体化电站(一体站) ; 选址定容 ; 双层规划 ; EV实际行驶路径最短
  • 英文关键词:EV space-time load model;;charging-swapping-discharging-storage integrated station (CSDSIS);;locating and sizing;;bi-level planning;;EV actual shortest path optimization
  • 中文刊名:ZGDC
  • 英文刊名:Proceedings of the CSEE
  • 机构:上海电力大学电气工程学院;
  • 出版日期:2019-01-20
  • 出版单位:中国电机工程学报
  • 年:2019
  • 期:v.39;No.613
  • 基金:国家自然科学基金青年科学基金项目(51807114);; 上海绿色能源并网工程技术研究项目(13DZ2251900);; 上海市电站自动化技术重点实验室资助项目~~
  • 语种:中文;
  • 页:ZGDC201902018
  • 页数:12
  • CN:02
  • ISSN:11-2107/TM
  • 分类号:167-177+333
摘要
根据EV分布特点建立EV时空负荷模型,对多场景EV时空负荷进行预测,以此作为选址定容基础。建立充换放储一体化电站选址定容的双层规划模型,计及电网投资和运行的经济性,上层规划对一体站进行优化选址;下层规划以EV实际行驶路径最短为目标进行一体站服务范围的划分,并将各站负荷返回给上层实现优化定容。结合粒子群算法和迪克斯特拉算法求解含最短路径的复杂非线性多约束优化的双层规划问题。算例验证表明,EV时空负荷模型和一体站选址定容双层规划模型具有可行性和有效性。
        According to the characteristics of EV distribution, the EV space-time load model was established, and the multi-scene EV space-time load was predicted, which was used as the basis for site selection and volume. The locating and sizing bi-level planning model of the charging-swapping-dischargingstorage integrated station(CSDSIS) was established. The upper level planning took into account of the economics of grid investment and operation, and optimized the location of the CSDSIS, and the lower level planning optimized the service range of the CSDSIS with the shortest EV actual driving path, and returned the load of each CSDSIS to the upper level planning to optimal size. The integrated particle swarm optimization(PSO) algorithm and Dijkstra's algorithm were used to solve the bi-level programming problem of complex nonlinear multi-constraint optimization with the shortest path. The example verification shows that the EV space-time load model and locating and sizing bi-level planning model of the CSDSIS are feasible and effective.
引文
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