摘要
为了控制分布式能源大量并网导致的配电网运行风险,提出了一种基于价格型需求响应的网源荷智能互动风险控制策略。首先,建立了需求响应模型,包括考虑分布式光伏电源出力特征的实时电价模型以及家庭用电负荷模型;在此基础上,建立了同时考虑经济与安全的风险控制模型,该模型以社会效益最大化为目标,满足配电网运行约束、需求响应约束以及通信约束;最后,采用改进型天牛须搜索算法来求解风险控制模型。通过算例验证该文所建立的风险控制模型。算例中分布式电源以光伏为主,自弹性系数取-0.02,互弹性系数取0.0032,设定单位光伏电能补贴金额为0.5元,固定电价为0.5元,风险控制后的用电费用和发电成本较风险控制前分别减少了8.68%和30.78%,并且社会效益增加了9.17%。
In order to control the risk of distribution network operation caused by a large number of distributed energy connected to the grid,a grid-source-load intelligent interaction risk control strategy considering price-based demand response is proposed.Firstly,a demand response model is established,including a real-time electricity price model considering photovoltaic output characteristics and a household electricity load model.On this basis,a risk control model considering both economy and security is established,aiming at maximizing social benefits and meeting the constraints of distribution network operation,demand response and communication.Finally,an improved beetle antennae search algorithm is used to solve this model.The risk control model is verified by an example,in which the distributed power generation is mainly photovoltaic,with the self-elasticity coefficient of-0.02 and the cross-elasticity coefficient of 0.0032.The subsidy amount per unit photovoltaic energy is set to be 0.5 yuan and the fixed electricity price is 0.5 yuan.After risk control,the electricity consumption cost and power generation cost are reduced by 8.68% and 30.78% respectively compared with those before risk control,and the social benefit is increased by 9.17%.
作者
程维杰
刘金生
朱凯文
张俊芳
陈择栖
李祝昆
Cheng Weijie;Liu Jinsheng;Zhu Kaiwen;Zhang Junfang;Chen Zeqi;Li Zhukun(Shenzhen Power Supply Bureau Co.,Ltd.,Shenzhen 518000,China;School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China;NARI Technology Co.,Ltd.,Nanjing 211106,China)
出处
《南京理工大学学报》
CAS
CSCD
北大核心
2022年第6期763-770,共8页
Journal of Nanjing University of Science and Technology
基金
国家自然科学基金(52077103)
深圳供电局有限公司科技项目(090000KK52200004)。
关键词
需求响应
网源荷智能互动
实时电价
社会效益最大化
天牛须搜索算法
风险控制
分布式电源
光伏
demand response
grid-source-load intelligent interaction
real-time price
social benefit maximization
beetle antennae search algorithm
risk control
distributed power generation
photovoltaic power
