考虑电动汽车有序充电的配电网重构
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摘要
考虑到电动汽车用户会响应峰谷分时电价的政策,做出改变电动汽车充电方案的决定,使电动汽车无序充电变成可规划、可预测的有序充电。在此基础上,用户对峰谷分时电价不同的响应度对配电网重构会产生怎样的影响是文中重点探讨的问题。文中的数学模型式以配电网重构费用损失最低为目标,提出一种混合的粒子群蚁群算法用于求解论文提出的问题。对IEEE33节点系统进行仿真,首先验证了提出方法在配电网重构求解有效性;其次验证了电动汽车有序转移到电价谷时段充电能够有效减少配电网重构费用损失,且用户响应度越高,配电网重构费用损失越少。
Taking the policy of electric vehicle users responding to peak-valley TOU price into account,the decision to change the electric vehicle charging scheme makes the electric vehicle disordered charging into a planned and predictable orderly charge. On this basis,the impact of different responsiveness of peak-valley TOU price on reconfiguration of distribution network is discussed in this paper. Based on the minimum cost of reconfiguration cost of distribution network,a mathematical model is established,and the hybrid particle swarm and ant colony algorithm is applied to solve the model.The IEEE33 node system is simulated to verify the validity of the proposed method in the solution of distribution network reconfiguration. Secondly,it is proved that the transfer of charging in the electric vehicle to the valley time period of electricity price can effectively reduce the cost loss of the distribution network reconfiguration,and the higher the user response degree,the loss of reconfiguration cost of distribution network is less.
Taking the policy of electric vehicle users responding to peak-valley TOU price into account,the decision to change the electric vehicle charging scheme makes the electric vehicle disordered charging into a planned and predictable orderly charge. On this basis,the impact of different responsiveness of peak-valley TOU price on reconfiguration of distribution network is discussed in this paper. Based on the minimum cost of reconfiguration cost of distribution network,a mathematical model is established,and the hybrid particle swarm and ant colony algorithm is applied to solve the model.The IEEE33 node system is simulated to verify the validity of the proposed method in the solution of distribution network reconfiguration. Secondly,it is proved that the transfer of charging in the electric vehicle to the valley time period of electricity price can effectively reduce the cost loss of the distribution network reconfiguration,and the higher the user response degree,the loss of reconfiguration cost of distribution network is less.
引文
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[11]朱正,廖清芬,刘涤尘,等.考虑新能源与电动汽车接入下的主动配电网重构策略[J].电力系统自动化,2015,39(14):82-88,96.Zhu Zheng,Liao Qingfen,Liu Dichen,et al. Strategy of distribution network reconfiguration considering wind power and electric vehicle integration[J]. Automation of Electric Power Systems,2015,39(14):82-88,96.
[12]李扬,韦钢,马钰,等.含电动汽车和分布式电源的主动配电网动态重构[J].电力系统自动化,2018,42(5):102-110.Li Yang,Wei Gang,Ma Yu,et al. Dynamic reconfiguration of active distribution network with electric vehicle and distributed generation[J].Automation of Electric Power Systems,2018,42(5):102-110.
[13]程瑜,翟娜娜.面向智能电网的峰谷分时电价评估[J].电力系统保护与控制,2010,38(21):196-201,214.Cheng Yu,Zhai Nana. Evaluation of Tou price oriented to smart grid[J]. Power System Protection and Control,2012,38(21):196-201,214.
[14]卞栋,卫志农,孙国强,等需求响应视角下的配电网不确定性重构模型[J].电力系统自动化,2013,37(24):31-36,53.Bian Dong,Wei Zhinong,Sun Guoqiang,et al. Distribution network uncertainty reconfiguration model in demand response respective[J].Automation of Electric Power Systems,2013,37(24):31-36.
[15]田立亭,史双龙,贾卓.电动汽车充电功率需求的统计学建模方法[J].电网技术,2010,34(11):126-130.Tian Liting,Shi Shuanglong,Jia Zhuo. A statistical model for charging power demand of electric vehicles[J]. Power System Technology,2010,34(11):126-130.
[16]易海川,张彼德,王海颖,等.提高DG接纳能力的配电网动态重构方法[J].电网技术,2016,40(5):1431-1436.Yi Haichuan,Zhang Bide,Wang Haiying,et al. Distribution network dynamic reconfiguration method for improving distribution network’s ability of accepting DG[J]. Power System Technology,2016,40(5):1431-1436.
[2]于大洋,黄海丽,雷鸣,等.电动汽车充电与风电协同调度的碳减排效益分析[J].电力系统自动化,2012,36(10):14-18.Yu Da Yang,Huang Haili,Lei Ming,et al. CO2reduction benefit by coordinated dispatch of electric vehicle charging and wind power[J].Automation of Electric Power Systems,2012,36(10):14-18.
[3]靳晓凌,赵建国.基于改进二进制粒子群优化算法的负荷均衡化配电网重构[J].电网技术,2005,(23):40-43.Jin Xiaoling,Zhao Jianguo. Distribution network reconfiguration for load balancing based on improved binary particle swarm optimization[J].Power System Technology,2005,(23):40-43.
[4]胡传胜,周玲,程蒙,等.含电动汽车和分布式电源的配电网动态重构[J].陕西电力,2015,43(4):1-4,14.Hu Chuansheng,Zhou Ling,Cheng Meng,et al. Dynamic optimization of distribution network reconfiguration considering electric vehicle and distributed generation[J]. Shanxi Electric Power,2015,43(4):1-4,14.
[5]刘思聪,周步祥,彭章刚,等.含分布式电源及电动汽车的多代理配电网重构[J].电力系统及其自动化学报,2017,29(10):91-97.Liu Sicong,Zhou Buxiang,Peng Zhanggang,et al. Reconfiguration of distribution network with distributed generations and electric vehicles using multi-agent[J]. Proceedings of the CSU-EPSA,2017,29(10):91-97.
[6]丛鹏伟,唐巍,张璐,等.基于机会约束规划考虑DG与负荷多状态的配电网络重构[J].电网技术,2013,(9):2573-2579.Cong Pengwei,Tang Wei,Zhang Lu,et al. Chance-constrained programming based distribution network reconfiguration considering multistates of distributed generation and load[J]. Power System Technology,2013,(9):2573-2579.
[7]江东林,刘天琪,李樊.采用时段动态划分和分层优化策略的配电网重构[J].电网技术,2012,36(2):153-157.Jiang Donglin,Liu Tianqi,Li Fan. Dynamic distribution network reconfiguration based on dynamic partition of time intervals and hierarchical optimization[J]. Power System Technology,2012,36(2):153-157.
[8]武鹏,程浩忠,刘育权,等.考虑合环约束的配电网重构方法[J].电力系统自动化,2017,41(11):163-168.Wu Peng,Cheng Haozhong,Liu Yuquan,et al. Distribution network reconfiguration method considering loop closing constraints[J]. Automation of Electric Power Systems,2017,41(11):163-168.
[9]唐可,邱高,邱晓燕,等.考虑电动汽车空间分配的多目标配电网重构优化[J].电测与仪表,2016,53(12):24-30.Tang Ke,Qiu Gao,Qiu Xiaoyan,et al. Multi-objective optimization of distribution network reconfiguration considering the spatial allocation of electric vehicles[J]. Electrical Measurement&Instrumentation,2016,53(12):24-30.
[10]陈晓祺,靳小龙,贾宏杰,等.考虑电动汽车时空负荷的主动配电网重构策略[J].高电压技术,2017,43(3):1049-1056.Chen Xiaoqi,Jin Xiaolong,Jia Hongjie,et al. Reconfiguration strategy for active distribution network considering spatial-temporal electrical vehicle load model[J]. High Voltage Engineering,2017,43(3):1049-1056.
[11]朱正,廖清芬,刘涤尘,等.考虑新能源与电动汽车接入下的主动配电网重构策略[J].电力系统自动化,2015,39(14):82-88,96.Zhu Zheng,Liao Qingfen,Liu Dichen,et al. Strategy of distribution network reconfiguration considering wind power and electric vehicle integration[J]. Automation of Electric Power Systems,2015,39(14):82-88,96.
[12]李扬,韦钢,马钰,等.含电动汽车和分布式电源的主动配电网动态重构[J].电力系统自动化,2018,42(5):102-110.Li Yang,Wei Gang,Ma Yu,et al. Dynamic reconfiguration of active distribution network with electric vehicle and distributed generation[J].Automation of Electric Power Systems,2018,42(5):102-110.
[13]程瑜,翟娜娜.面向智能电网的峰谷分时电价评估[J].电力系统保护与控制,2010,38(21):196-201,214.Cheng Yu,Zhai Nana. Evaluation of Tou price oriented to smart grid[J]. Power System Protection and Control,2012,38(21):196-201,214.
[14]卞栋,卫志农,孙国强,等需求响应视角下的配电网不确定性重构模型[J].电力系统自动化,2013,37(24):31-36,53.Bian Dong,Wei Zhinong,Sun Guoqiang,et al. Distribution network uncertainty reconfiguration model in demand response respective[J].Automation of Electric Power Systems,2013,37(24):31-36.
[15]田立亭,史双龙,贾卓.电动汽车充电功率需求的统计学建模方法[J].电网技术,2010,34(11):126-130.Tian Liting,Shi Shuanglong,Jia Zhuo. A statistical model for charging power demand of electric vehicles[J]. Power System Technology,2010,34(11):126-130.
[16]易海川,张彼德,王海颖,等.提高DG接纳能力的配电网动态重构方法[J].电网技术,2016,40(5):1431-1436.Yi Haichuan,Zhang Bide,Wang Haiying,et al. Distribution network dynamic reconfiguration method for improving distribution network’s ability of accepting DG[J]. Power System Technology,2016,40(5):1431-1436.