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基于混合用户均衡理论和充放电管理的快/慢充电站规划
引用本文:张林垚,郑洁云,胡志坚,倪识远,吴桂联,翁菖宏,陈志,陈锦鹏.基于混合用户均衡理论和充放电管理的快/慢充电站规划[J].电力建设,2021,42(8):99-109.
作者姓名:张林垚  郑洁云  胡志坚  倪识远  吴桂联  翁菖宏  陈志  陈锦鹏
作者单位:国网福建省电力有限公司经济技术研究院,福州市350012;武汉大学电气与自动化学院,武汉市430072
基金项目:国家自然科学基金项目(51977156);国网福建省电力有限公司经济技术研究院科技项目(52130N19000P)
摘    要:随着绿色出行理念的不断深入,电动汽车保有量逐年增长,而大规模的电动汽车充电负荷将对配电网产生不利影响。基于该背景,文章提出了一种计及充放电管理的充电站规划模型。首先,基于Wardrop用户均衡理论建立交通网混合用户均衡模型;其次,提出了一种基于负荷转移矩阵的充放电管理策略及其建模方法;然后,提出了基于流量均衡原理和充放电管理的快/慢充电站规划模型,利用分段线性化方法、大M法、二阶锥松弛技术对原问题进行处理;最后,采用IEEE 33节点配电网与12节点典型交通网验证了所提规划方法的有效性。

关 键 词:智能配电网  快/慢充电站规划  交通用户均衡  充放电管理
收稿时间:2021-01-22

Fast/Slow Charging Station Planning Based on Mixed User Equilibrium Theory and Charging/Discharging Management
ZHANG Linyao,ZHENG Jieyun,HU Zhijian,NI Shiyuan,WU Guilian,WENG Changhong,CHEN Zhi,CHEN Jinpeng.Fast/Slow Charging Station Planning Based on Mixed User Equilibrium Theory and Charging/Discharging Management[J].Electric Power Construction,2021,42(8):99-109.
Authors:ZHANG Linyao  ZHENG Jieyun  HU Zhijian  NI Shiyuan  WU Guilian  WENG Changhong  CHEN Zhi  CHEN Jinpeng
Affiliation:1. Economic Technology Research Institute, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350012, China2. School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
Abstract:With the continuous deepening of green travel concept, the number of electric vehicles (EVs) has increased year by year, and the large-scale EV charging load will have an adverse impact on the distribution network. In this background, this paper proposes a fast/slow charging station planning model that includes charging and discharging management. Firstly, according to the Wardrop user equilibrium theory, this paper establishes a mixed user equilibrium model for traffic network. Secondly, it proposes a charging and discharging management strategy based on the load transfer matrix and its modeling method; then, a fast/slow charging station planning model based on user equilibrium and charging and discharging management is proposed, and the piecewise linearization method, big-M method and second order cone relaxation technique are used to deal with the original problem. Finally, an IEEE 33-node distribution network and a 12-node typical traffic network are used to verify the effectiveness of the planning method proposed in this paper.
Keywords:smart distribution network                                                                                                                        fast/slow charging station planning                                                                                                                        traffic user equilibrium                                                                                                                        charging and discharging management
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