摘要
分布式光伏高比例接入配电网带来新的挑战。其引起的电压越限等问题严重限制了配电网接纳光伏的能力,也降低了发电效益,为此提出用于提升配电网光伏接纳能力的分时电价优化策略及方法。首先,分析了分布式光伏接入配电网对电压分布以及负荷曲线峰谷时段划分的影响,建立了综合考虑光伏出力特点与净负荷曲线的分时电价优化模型。然后,基于Tent混沌反向学习初始化策略和高斯扰动策略,从提高初始种群质量和加强帝国位置移动2个方面改进了帝国主义竞争算法(ICA),提高了其全局寻优能力,并将之用于对分时电价优化等问题的求解。最后,采用IEEE 33节点系统算例,对配电网分布式光伏的接纳能力进行了分析,结果表明所提方法可以提升配电网光伏接纳能力,并具有实用性和有效性。
The integration of high proportion of distributed photovoltaic(PV)into distribution networks brings new challenges.It causes voltage overlimit problems,seriously limits the PV hosting capacity of the distribution network,and also reduces the power generation efficiency.Therefore,the optimization strategy and method of time-of-use electricity price for the PV hosting capacity improvement of the distribution network are proposed.Firstly,the influence of the distributed PV integration on voltage distribution and peak-valley time division of the load curve is analyzed,and then an optimization model of time-of-use electricity price that comprehensively considers the characteristics of PV output and the net load curve is established.Secondly,based on the Tent chaotic reverse learning initialization strategy and Gaussian perturbation strategy,the imperialist competition algorithm is modified from two aspects of improving the quality of the initial population and strengthening the movement of the empire’s position to enhance its global optimization ability,and it is used to solve the problems such as time-of-use electricity price optimization,etc.Finally,taking the IEEE 33-bus system as a case study,the PV hosting capacity of distribution networks is analyzed,and the results show that the proposed method can improve the PV hosting capacity,and has practicality and effectiveness.
作者
王守相
王瀚樟
赵倩宇
刘琪
郭陆阳
张晟
WANG Shouxiang;WANG Hanzhang;ZHAO Qianyu;LIU Qi;GUO Luyang;ZHANG Sheng(Key Laboratory of the Ministry of Education on Smart Power Grids(Tianjin University),Tianjin 300072,China;Tianjin Key Laboratory of Power System Simulation and Control(Tianjin University),Tianjin 300072,China;College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2023年第10期38-46,共9页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(52077149)
国家自然科学基金委员会-国家电网公司智能电网联合基金资助项目(U2166202)
国家电网公司总部科技项目(5400-202199280A-0-0-00)。
关键词
配电网
光伏
接纳能力
分时电价
需求响应
帝国主义竞争算法
distribution network
photovoltaic
hosting capacity
time-of-use electricity price
demand response
imperialist competition algorithm
