计及风光不确定性和相关性的虚拟电厂参与电-碳-绿证市场优化调度
摘要:高比例可再生能源的注入为虚拟电厂引入了许多不确定因素，如果忽略或不准确地表征这些不确定性，将会给虚拟电厂的运行调度带来巨大风险。为解决这一问题，考虑虚拟电厂内风光能源的相关性，将Frank-Copula作为“连接函数”求解风光出力的联合分布函数，从而生成典型的风光出力场景。为最小化虚拟电厂的运营成本，综合考虑电-碳-绿证市场和激励型需求响应机制，分别采用区间法、阶梯碳价及古诺模型来描述需求响应、碳价格和绿证价格的不确定性，构建基于区间线性规划的虚拟电厂优化调度模型。案例研究结果表明，该模型能量化各组成部分不确定性对虚拟电厂调度的风险，确保虚拟电厂安全可靠运行的同时具有一定的经济性。
Abstract：The injection of a high percentage of renewable energy sources introduces many uncertainties into the virtual power plant. If these uncertainty sources are ignored or inaccurately characterized, it will bring great risks to the operation and scheduling of the virtual power plant. In order to solve this problem, this paper considers the correlation of wind and solar energy sources in the virtual power plant, and utilizes Frank-Copula as a "connectivity function" to solve the joint distribution function of wind and solar power, so as to generate a typical scenario of wind and solar power. In order to minimize the operating cost of the virtual power plant, this paper comprehensively considers the electricity-carbon-green certificate market and the incentive-based demand response mechanism. The interval method, stepped carbon price, and Gounod model are used to describe the uncertainties of demand response, carbon price, and green certificate price, respectively, and an optimization scheduling model for virtual power plants based on interval linear programming is constructed. The case study results show that the model is able to quantify the risk of each component's uncertainty on the virtual power plant dispatch, and ensure the safe and reliable operation of the virtual power plant with a certain degree of economy at the same time.
标题：计及风光不确定性和相关性的虚拟电厂参与电-碳-绿证市场优化调度
title:Optimization Scheduling of Virtual Power Plants Participating in Electric Energy Trade-Carbon Trade-Green License Trade Considering Uncertainty and Correlation of Wind Power and PV
作者：陶泽飞,刘敏,何旺
authors:TAO Zefei,LIU Min,HE Wang
关键词：虚拟电厂,多重不确定性,场景生成,需求响应,碳交易,绿证交易,优化调度,
keywords:virtual power plants,multiple uncertainties,scene generation,demand response,carbon trading,green certificate trading,optimization scheduling,
发表日期：2024-07-25
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