摘要
双电源供电的充电站如何从空间和时间两个维度进行需求响应,关系到系统运行的安全性和经济性。为此提出了一种面向需求响应和可靠性提升的站内充电桩负荷智能切换的调控方法和需求响应优化控制模型。首先,分析了充电站桩的双电源供电模式和充电桩负荷智能切换的原理。其次,为改善双电源回路负载均衡度,建立了充电站的负载优化目标函数。然后,建立了考虑馈线转供潜力和充电站充电桩切换能力的充电站削峰潜力评估模型及其削峰任务的计算方法。提出计及各削峰时段任务完成情况的削峰补贴计算方法,以此作为充电站参与需求响应的优化目标,从而建立充电负荷智能切换策略的需求响应应用模型。最后,仿真算例证明所提方法能有效增强充电站的负荷调控能力,实现馈线削峰,为充电站参与需求响应获得更高利润提供了新的思路。
How to perform demand response from space and time aspects for charging stations with dual power supply is related to the safety and economy of power system operation.To this end,a regulation method and demand response optimization control model for intelligent switching of charging pile loads in stations are proposed.These are oriented to demand response and reliability improvement.First,the dual power supply mode of charging piles of a charging station and the principle of intelligent switching of charging pile loads are analyzed.Secondly,in order to improve the load balance of the dual power circuit,the optimization objective function of the charging station load is established.Then,a model for evaluating the peak-shaving potential of a charging station and a calculation method for its peak-shaving tasks are established.These take into account the feeder transfer potential and the charging pile switching capability of the charging station.The calculation method of peak-shaving subsidy considering the completion of the task in each peak-shaving period is put forward.This is used as the optimization goal for charging stations to participate in demand response,so as to establish the demand response application model of the intelligent switching strategy of the charging load.Finally,a simulation example proves that the method in this paper can effectively enhance the load regulation ability of charging stations and achieve peak load shaving for feeders,providing a new way for charging stations to participate in demand response for higher profits.
作者
林楷东
杨景旭
张勇军
姚蓝霓
李其霖
唐渊
LIN Kaidong;YANG Jingxu;ZHANG Yongjun;YAO Lanni;LI Qilin;TANG Yuan(Research Center of Smart Energy Technology,School of Electric Power Engineering,South China University of Technology,Guangzhou 510640,China)
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2022年第17期68-75,共8页
Power System Protection and Control
基金
国家自然科学基金项目资助(52177085)
中国博士后科学基金项目资助(2020M682704)。
关键词
负载优化
充电站
充电桩
需求响应
智能切换
load optimization
charging station
charging pile
demand response
intelligent switching
