摘要
为有效控制市场风险并避免市场价格出现极端的波动,提出一种面向虚拟电厂需求侧资源响应的市场优化方案。首先构建一个需求响应交换市场模型,该模型通过协调虚拟电厂和外部需求响应供应商来有效削弱实时电力供需偏差带来的惩罚,从而实现虚拟电厂的利润优化。在此基础上构建了一个最优竞价策略的双层随机模型,并对上层和下层模型进行了构建和分析。最后借助改进的IEEE33总线配电系统对所提方案进行验证。结果表明:基于需求响应交换市场模型的电力交易不仅有效提高了虚拟电厂约15%的利润,而且电力交易中所有参与者都能很好地根据市场情况进行调节。
In order to effectively control market risks and avoid extreme fluctuations in market prices,a market optimization scheme for demand side resource response of virtual power plants was proposed.Firstly,a demand response exchange market model was constructed,which effectively mitigated the adverse effects of real-time power supply and demand deviations by coordinating virtual power plants and external demand response suppliers,thereby achieving profit optimization for virtual power plants.On this basis,a two-layer stochastic model for the optimal bidding strategy was constructed,and the upper-and lower-layer models were built and analyzed.Finally,the proposed scheme was validated using the improved IEEE 33 bus distribution system.The results show that the electricity trading based on the demand response exchange market model not only effectively improves the profits of virtual power plants by about 15%,but also enables all participants in the electricity trading to adjust well according to market conditions.
作者
顾晨
孟飞
Gu Chen;Meng Fei(Jiading Power Supply Branch,State Grid Shanghai Electric Power Co.,Ld.,Shanghai 201899,China)
出处
《电气自动化》
2025年第3期61-63,69,共4页
Electrical Automation
基金
国网上海市电力公司科技项目(520900230008)。
关键词
虚拟电厂
需求侧资源响应
利润优化
需求响应交换市场模型
内部和外部需求响应
virtual power plant
demand side resource response
profit optimization
demand response exchange market model
internal and external requirements response
