摘要
高比例可再生能源接入加剧了配电网的不确定性,亟需利用分时电价激励用户参与需求响应,对负荷侧灵活性资源进行挖掘。为此,提出计及配电网灵活性的峰谷电价分布鲁棒定价策略。利用价格弹性矩阵量化用户响应分时电价的行为,并基于Wasserstein距离构建光伏出力与负荷预测误差区间的分布鲁棒不确定集;采用区间法对配电网灵活性供给与需求进行建模,并构建灵活性评估指标;建立综合考虑用户用电方式满意度、净负荷峰谷差、灵活性供需平衡的分布鲁棒定价模型,并采用混合优化算法进行模型求解。算例结果验证了所提分布鲁棒定价策略的有效性与鲁棒性。
The high proportion of renewable energy access aggravates the uncertainty of distribution network,so it is urgent to use time-of-use electricity price to motivate users to participate in demand response and tap the load-side flexibility resources.Therefore,a distributionally robust pricing strategy of peak-valley electricity price considering flexibility of distribution network is proposed.The users' behavior of responding to time-of-use electricity price is quantified by using the price elasticity matrix,and the distributionally robust uncertainty sets of photovoltaic output and load prediction error intervals are constructed based on Wasserstein distance.The models of distribution network flexibility supply and demand are built by using the interval method,and the flexibility evaluation indexes are constructed.A distributionally robust pricing model is established,which considers the use's satisfaction degree of electricity consumption,the peak-to-valley difference of net load and the balance of flexibility supply and demand,and the model is solved by hybrid optimization algorithm.The results of a numerical example verify the effectiveness and robustness of the proposed pricing strategy.
作者
徐维炜
陈红坤
汤骏
陈磊
XU Weiwei;CHEN Hongkun;TANG Jun;CHEN Lei(Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network,Wuhan 430072,China;School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2024年第12期178-186,共9页
Electric Power Automation Equipment
基金
国家自然科学基金联合基金资助项目(U23B20117)
电网安全与节能国家重点实验室开放基金资助项目(YDB51202201357)。
关键词
配电网
分时电价
分布鲁棒优化
不确定性
灵活性供需平衡
需求响应
列与约束生成算法
distribution network
time-of-use electricity price
distributionally robust optimization
uncertain-ties
flexibility supply and demand balance
demand response
column and constraint generation algorithm