考虑价格引导机制的园区综合能源系统日前优化调度方法  

Day-Ahead Optimal Scheduling Method of Park Integrated Energy System Considering Price Guidance Mechanism

作　　者：廖宗毅 万文略 陈曦 LIAO Zongyi;WAN Wenlue;CHEN Xi(School of Electrical and Electronic Engineering,Chongqing University of Technology,Chongqing 401300,China)

机构地区：[1]重庆理工大学电气与电子工程学院,重庆401300

出　　处：《南方电网技术》2021年第9期53-60,68,共9页Southern Power System Technology

基　　金：重庆市人工智能技术创新重大主题专项重点研发项目(cstc2017rgzn-zdyf0120)。

摘　　要：为高效利用综合能源系统中供需双侧资源,实现优化调度,以含电、气、冷、热4种负荷的园区综合能源系统为对象,构建了一个综合考虑电能、天然气需求响应,保障运营商与园区双方利益的价格引导优化调度模型。首先以能量母线为基础建立了园区综合能源系统模型;然后,以需求价格弹性为基础建立多类型负荷的需求响应策略;最后,提出考虑价格引导机制的优化调度模型,并以粒子群算法结合数学优化软件Gurobi对该模型进行求解。仿真分析表明,该方法可以引导园区用户购能,在满足供-需双侧需求与利益约束的基础上削减联络线输电功率峰谷差,从而提高系统整体经济性。In order to efficiently use the resources on both sides of supply and demand in the integrated energy system and achieve optimal scheduling,the paper takes the integrated energy system of the park with four loads of electricity,gas,cooling and heat as the object,and constructs an optimal scheduling model based on the price guidance through comprehensively considering electricity and natural gas demand response to ensure the interests of both the business and the park.Firstly,a comprehensive energy system model of the park is established based on the energy bus;then,a demand response strategy for multiple types of loads is established based on the price elasticity of demand;finally,an optimal scheduling model considering the price guidance mechanism is proposed,and the model is solved by particle swarm algorithm combined with mathematics optimization software Gurobi.Simulation analysis shows that the method can guide the park users to buy the energy,and reduce the transmission power peak valley difference in the supply of the tie-line,and improve the overall economy of the system on the basis of the supply-demand double side needs and interests constraints.

关 键 词：园区综合能源系统 电-气联合定价 需求响应 价格引导 日前优化调度 

分 类 号：TK019[动力工程及工程热物理]