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.
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.
ZHANG Lin-yao, ZHENG Jie-yun, HU Zhi-jian, NI Shi-yuan, WU Gui-lian, WENG Chang-hong, CHEN Zhi, CHEN Jin-peng. Fast/Slow Charging Station Planning Based on Mixed User Equilibrium Theory and Charging/Discharging Management[J]. Electric Power Construction, 2021, 42(8): 99-109.
Citation: ZHANG Lin-yao, ZHENG Jie-yun, HU Zhi-jian, NI Shi-yuan, WU Gui-lian, WENG Chang-hong, CHEN Zhi, CHEN Jin-peng. Fast/Slow Charging Station Planning Based on Mixed User Equilibrium Theory and Charging/Discharging Management[J]. Electric Power Construction, 2021, 42(8): 99-109.

基于混合用户均衡理论和充放电管理的快/慢充电站规划

Fast/Slow Charging Station Planning Based on Mixed User Equilibrium Theory and Charging/Discharging Management

  • 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。

     

    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.

     

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