基于权重的居住区配电网下动态功率分配策略
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摘要
大规模电动汽车的随机接入将导致小区配电网超出安全限制容量。如何利用可用的电力资源为电动汽车进行功率公平分配,降低电网运行风险是一个重要问题。为此提出了一种基于权重的居住区配电网下的电动汽车动态功率分配策略。基于电动汽车各项申报信息和小区电网状态,将电动汽车的已充电时长、停留时长及荷电状态作为评价指标,利用熵权法确定电动汽车充电权重;并结合加权最大最小公平分配算法,根据充电权重对小区随时变化的可用负荷进行公平分配。通过蒙特卡洛模拟的MATLAB仿真验证策略的有效性。仿真结果表明策略能依据小区实时负荷曲线,最大化利用可用电能去动态适应快速变化的充电需求,有效提升了电网和用户满意度。
The random access behavior of large scale electric vehicles will exceed the safe limits of the residential distribution network. Therefore,it is of great significance to study how to make use of the available power to allocate equitably to electric vehicles and reduce the risk of power grid operation. A dynamic power allocation strategy for electric vehicles based on weight of residential distribution network was proposed. Based on the information of electric vehicle and district power grid,the charging time,duration time and battery state of electric vehicle was took as evaluation indexes,entropy weight method was adopted to obtain the charging weight of electric vehicle.And with weighing max_min fair allocation algorithm,the variable load of the cell was allocated equitably to each electric vehicle. The effectiveness of this strategy is verified by MATLAB with Monte Carlo simulation. Simulation results show that the strategy can be based on cell real-time load,maximize the use of available electricity to adapt to the fast changing charging demand dynamically,and effectively improve grid and user satisfaction.
The random access behavior of large scale electric vehicles will exceed the safe limits of the residential distribution network. Therefore,it is of great significance to study how to make use of the available power to allocate equitably to electric vehicles and reduce the risk of power grid operation. A dynamic power allocation strategy for electric vehicles based on weight of residential distribution network was proposed. Based on the information of electric vehicle and district power grid,the charging time,duration time and battery state of electric vehicle was took as evaluation indexes,entropy weight method was adopted to obtain the charging weight of electric vehicle.And with weighing max_min fair allocation algorithm,the variable load of the cell was allocated equitably to each electric vehicle. The effectiveness of this strategy is verified by MATLAB with Monte Carlo simulation. Simulation results show that the strategy can be based on cell real-time load,maximize the use of available electricity to adapt to the fast changing charging demand dynamically,and effectively improve grid and user satisfaction.
引文
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11 李凯,胡海彬,万亮.电动汽车充电站功率控制策略的研究[J].变频器世界,2011(8):67-69Li Kai,Hu Haibin,Wan Liang. Research of electric vehicles charging station power control strategies[J]. The World of Inverters,2011(8):67-69
12 张昕,叶梧,冯穗力.一种分布式的OFDMA系统资源分配算法[J].信号处理,2010,26(11):1736-1741Zhang Xin,Ye Wu,Feng Suili. A distributed resource allocation algorithm for OFDM systems[J]. Signal Processing,2010,26(11):1736-1741
13 张谦,蔡家佳,刘超,等.基于优先权的电动汽车集群充放电优化控制策略[J].电工技术学报,2015,30(17):117-125Zhang Qian,Cai Jiajia,Liu Chao,et al. Optimal control strategy of cluster charging and discharging of electric vehicles based on the priority[J]. Transactions of China Electrotechnical Society,2015,30(17):117-125
14 张立军,袁能文.线性综合评价模型中指标标准化方法的比较与选择[J].统计与信息论坛,2010,25(8):10-15Zhang Lijun,Yuan Nengwen. Comparison and selection of index standardization method in linear comprehensive evaluation model[J]. Statistics&Information Forum,2010,25(8):10-15
15 刘文红,杨小亮,张宏科.带权快速Max-Min公平分配算法[J].北京交通大学学报,2006,30(2):33-35Liu Wenhong,Yang Xiaoliang,Liu Hongke. Weighing and fast Max_min fair allocation alogrithm[J]. Journal of Beijing Jiaotong University,2006,30(2):33-35
16 Tassiulas L,Sarkar S. Maxmin fair scheduling in wireless ad hoc networks[J]. IEEE Journal of select Areas Commun,2001,23(1):163-173
17 张曦予.电动汽车充电站功率需求建模[D].北京:华北电力大学,2014Zhang Xiyu. Power demand modeling of electric vehicles charging station[D]. Beijing:North China Electric Power University,2014
18 Akhavan-Rezai E,Shaaban M F,El-Saadany E F,et al. Online intelligent demand management of Plug-In electric vehicles in future smart parking lots[J]. IEEE Systems Journal,2016,10(2):483-494
2 王姝凝.居民小区电动汽车充电负荷有序控制策略[D].北京:北京交通大学,2016Wang Shuning,A coordinated charging control strategy for electric vehicles charging load in residential area[D]. Beijing:Beijing Jiaotong University,2016
3 张延宇,曾鹏,臧传治.智能电网环境下多电动汽车协同充电优化调度算法[J].科学技术与工程,2015,15(26):60-65Zhang Yanyu,Zeng Peng,Zang Chuanzhi. Coordinated optimal charging algorithm for electric vehicles in smart grid[J]. Science Technology and Engineering,2015,15(26):60-65
4 Schneider K,Gerkensmeyer C,Kintner-Meyer M,et al. Impact assessment of plug-in hybrid vehicles on pacific northwest distribution systems[C]//Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21 st Century,Pittsburgh,PA,USA. New York:IEEE,2008:1-6
5 周念成,熊希聪,王强钢.多种类型电动汽车接入配电网的充电负荷概率模拟[J].电力自动化设备,2014,34(2):1-7Zhou Niancheng,Xiong Xicong,Wang Qianggang. Simulation of charging load probability for connection of different electric vehicles to distribution network[J]. Electric Power Automation Equipment.2014,34(2):1-7
6 苏海锋,梁志瑞.基于峰谷电价的家用电动汽车居民住宅区有序充电控制方法[J].电力自动化设备,2015,35(6):17-22Su Haifeng,Liang Zhirui. Orderly charging control based on peakvalley electricity tariffs for household electric vehicles of residential quarter[J]. Electric Power Automation Equipment,2015,35(6):17-22
7 常方宇,黄梅,张维戈.分时充电价格下电动汽车有序充电引导策略[J].电网技术,2016(9):2609-2615Zhang Fangyu,Huang Mei,Zhang Weige. Research on coordinated charging of electric vehicles based on TOU charging price[J]. Power System Technology,2016(9):2609-2615
8 张静,汤奕,陈成,等.考虑分时电价和系统峰谷差动态约束的电动汽车有序充电策略[J].电网与清洁能源,2014(5):79-84Zhang Jing,Tang Yi,Chen Cheng,et al. Coordinated charging strategy for electric vehicles considering time-of-use price and peak-valley difference dynamic constraints[J]. Power System and Clean Energy,2014(5):79-84
9 齐先军,李冬伟,纪姝彦.采用功率限制的住宅区电动汽车有序充电控制策略[J].电网技术,2016(12):3715-3721Qi Xianjun,Li Dongwei,Ji Shuyan. A coordinated charging control strategy for electric vehicles in residential area with power limitation[J]. Power System Technology,2016(12):3715-3721
10 刘星平,李世军,于浩明,等.住宅小区内电动汽车有序充电优化模式[J].电工技术学报,2015(20):238-245Liu Xingping,Li Shijun,Yu Haoming,et al. Coordinated charging optimization mode of electric vehicles in the residential area[J].Transactions of China Electrotechnical Society,2015(20):238-245
11 李凯,胡海彬,万亮.电动汽车充电站功率控制策略的研究[J].变频器世界,2011(8):67-69Li Kai,Hu Haibin,Wan Liang. Research of electric vehicles charging station power control strategies[J]. The World of Inverters,2011(8):67-69
12 张昕,叶梧,冯穗力.一种分布式的OFDMA系统资源分配算法[J].信号处理,2010,26(11):1736-1741Zhang Xin,Ye Wu,Feng Suili. A distributed resource allocation algorithm for OFDM systems[J]. Signal Processing,2010,26(11):1736-1741
13 张谦,蔡家佳,刘超,等.基于优先权的电动汽车集群充放电优化控制策略[J].电工技术学报,2015,30(17):117-125Zhang Qian,Cai Jiajia,Liu Chao,et al. Optimal control strategy of cluster charging and discharging of electric vehicles based on the priority[J]. Transactions of China Electrotechnical Society,2015,30(17):117-125
14 张立军,袁能文.线性综合评价模型中指标标准化方法的比较与选择[J].统计与信息论坛,2010,25(8):10-15Zhang Lijun,Yuan Nengwen. Comparison and selection of index standardization method in linear comprehensive evaluation model[J]. Statistics&Information Forum,2010,25(8):10-15
15 刘文红,杨小亮,张宏科.带权快速Max-Min公平分配算法[J].北京交通大学学报,2006,30(2):33-35Liu Wenhong,Yang Xiaoliang,Liu Hongke. Weighing and fast Max_min fair allocation alogrithm[J]. Journal of Beijing Jiaotong University,2006,30(2):33-35
16 Tassiulas L,Sarkar S. Maxmin fair scheduling in wireless ad hoc networks[J]. IEEE Journal of select Areas Commun,2001,23(1):163-173
17 张曦予.电动汽车充电站功率需求建模[D].北京:华北电力大学,2014Zhang Xiyu. Power demand modeling of electric vehicles charging station[D]. Beijing:North China Electric Power University,2014
18 Akhavan-Rezai E,Shaaban M F,El-Saadany E F,et al. Online intelligent demand management of Plug-In electric vehicles in future smart parking lots[J]. IEEE Systems Journal,2016,10(2):483-494