计及碳交易与需求响应的综合能源系统优化研究

Research of Integrated Energy System Optimization Considering Carbon Trading and Demand Response

在我国实现“双碳”目标的背景下,提高可再生能源(renewable energy sources,RES)的开发利用能力与减少碳排放是当下研究的重点。为此,提出考虑碳交易机制与负荷侧需求响应下RES高效利用的综合能源系统(integrated energy system,IES)多目标优化模型。首先,构建了一种具有奖励系数的奖惩阶梯型碳交易成本模型以减少系统的碳排放量。其次,根据负荷的不同响应特性,构建了基于价格弹性矩阵与能源供应方式可替代性的综合需求响应模型。在此基础上,以IES总运行成本最低和弃风弃光量最少为目标,建立IES多目标优化模型。最后,基于典型算例研究表明,所提方法能够有效提高IES经济性和RES利用效率。

In the context of realizing the“double carbon”goal in China,improving the development and utilization capacity of renewable energy sources(RES)and reducing carbon emissions are the focus of current research.Therefore,it proposes a multi-objective optimization model of integrated energy system(IES)considering carbon trading mechanism and load side demand response.Firstly,a ladder type carbon trading cost model with reward coefficient is built to reduce carbon emissions of system;Secondly,according to the different response characteristics of loads,a comprehensive demand response model based on the price elasticity matrix and the substitutability of energy supply mode is founded;On this basis,a multi-objective optimization model of IES is established to minimize the total operation cost and abandoning wind and light.Finally,based on the typical case studies,the results show that the proposed method can effectively improve the economy of IES and the utilization efficiency of RES.