计及灵活性负荷资源需求响应和不确定性的楼宇微网调度双层优化模型

A Two-Level Scheduling Optimization Model for Building Microgrids Considering Demand Response and Uncertainties of Flexible Load Resources

针对含分布式发电资源和灵活负荷资源的楼宇微网消纳可再生能源的问题,以电动汽车为灵活性资源,构建了计及需求响应和充放电不确定性的楼宇微网调度优化模型。首先,构建了灵活性负荷资源的电价型需求响应模型和激励型需求响应模型;其次,将电动汽车视为产消一体者,分别采用马尔科夫链和信息间隙决策理论(information gap decision theory,IGDT)处理充放电不确定性;最后,以净收益最大化、光伏消纳最大化、用户满意度最大化、二氧化碳排放量最小化构建确定型楼宇微网调度优化模型。通过算例分析验证了所构建优化模型的有效性,该模型不仅提高了系统的清洁能源消纳率,减少了二氧化碳排放量,还能够为用户带来一定的收益,挖掘灵活性负荷资源参与微网调度的潜力,最终实现供用双方的效益双赢。

In order to solve the problem of building microgrid consuming renewable energy where distributed generation and flexible load resources are integrated,this paper takes electric vehicles as flexible resources,and constructs a scheduling optimization model for building microgrids considering demand response and charging/discharging uncertainty.Firstly,the price-based demand-response model and incentive-based demand-response model of flexible load resources are constructed.Secondly,the electric vehicle is regarded as an integrator of production and consumption,and Markov chain and information gap decision theory(IGDT) are used to deal with the uncertainties of charging and discharging,respectively.Finally,the deterministic scheduling optimization model is constructed by maximizing the net revenue of the system,photovoltaic accommodation,users’ satisfaction,and minimizing carbon dioxide emissions.The effectiveness of the constructed optimization model is verified by example analysis.The model not only enhances the clean energy accommodation rate of the system and reduces carbon dioxide emissions,but also can bring certain benefits to users,tap the potential of flexible load resources to participate in microgrid scheduling,and realize finally the win-win benefits of both supply and demand sides.