考虑电动汽车及需求侧响应的综合能源系统优化调度

为了提高综合能源系统的运行经济性和可再生能源消纳能力,建立基于分时电价的价格型电负荷需求侧响应模型,根据用户对温度感知的模糊性,建立热力柔性负荷模型以及计及电动汽车出行规律的电动汽车有序充放电模型。同时采用场景分析法考虑新能源出力的不确定性。提出一种需求侧响应和电动汽车协同作用的双层随机优化调度模型。上层模型利用分时电价激励的价格型需求侧响应,以净负荷波动性最小为目标函数,得到优化后的电负荷曲线。下层计及柔性热负荷与电动汽车作用,以调度周期内系统总成本为目标决策各个机组的出力情况,仿真算例表明所建立的综合能源系统调度模型能够有效提高了系统风电、光伏发电消纳能力,降低了系统运行成本。

Optimal Dispatch of Integrated Energy System Including Electric Vehicles and Electric and Heat Demand side Respons

In order to improve the operating economy of the integrated energy system and the ability to absorb renewable energy, establish a price-based electric load demand-side response based on time-of-use electricity prices, and establish a thermal flexible load model based on the ambiguity of users" perception of temperature, and take electric vehicles into account An orderly charging and discharging model of electric vehicles with regular travel patterns. At the same time, the scenario analysis method is used to consider the uncertainty of new energy output. Construct a two-tier stochastic optimal scheduling model with the introduction of multiple demand-side responses. The upper-level model uses the price-based demand-side response inspired by the time-of-use electricity price, and takes the minimum net load volatility as the objective function to obtain the optimized electric load curve. The lower layer takes into account the flexible thermal load and the role of electric vehicles, and decides the output of each unit based on the total system cost in the dispatch period. The simulation example shows that the established integrated energy system dispatch model can effectively improve the system"s wind power and photovoltaic power consumption. Ability to reduce the operating cost of the system.