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考虑系统耦合性的综合能源协同优化
引用本文:宋晨辉,冯健,杨东升,周博文,齐格.考虑系统耦合性的综合能源协同优化[J].电力系统自动化,2018,42(10):38-45.
作者姓名:宋晨辉  冯健  杨东升  周博文  齐格
作者单位:东北大学信息科学与工程学院
基金项目:国家自然科学基金资助项目(61673093);中央高校基本科研业务费专项资金资助项目(N160402003);新能源电力系统国家重点实验室开放课题研究项目(LAPS17013)
摘    要:综合能源系统(IES)具有多能耦合的特点,可实现电、热、天然气等能源的综合利用,可以最大化地发挥各能源间的协同作用和互补效益。在此背景下,文中构建了一种耦合电能、热能以及天然气能的IES结构,并给出能源耦合度等定义用于IES耦合性的定量分析;建立了以成本为目标的IES优化运行模型,优化模型同时考虑了电、热、天然气网络约束;针对系统运行时的电、热、天然气耦合问题,提出一种基于拉格朗日松弛的协同优化方法,实现了IES多能源优化时的解耦处理;最后,基于71节点的IES测试系统进行仿真分析,验证了所提模型及方法的有效性,并对IES优化结果与系统耦合性的映射关系做了定量分析。

关 键 词:综合能源系统  耦合性  优化运行  拉格朗日松弛
收稿时间:2017/9/14 0:00:00
修稿时间:2018/1/17 0:00:00

Collaborative Optimization of Integrated Energy Considering System Coupling
SONG Chenhui,FENG Jian,YANG Dongsheng,ZHOU Bowen and QI Ge.Collaborative Optimization of Integrated Energy Considering System Coupling[J].Automation of Electric Power Systems,2018,42(10):38-45.
Authors:SONG Chenhui  FENG Jian  YANG Dongsheng  ZHOU Bowen and QI Ge
Affiliation:College of Information Science and Engineering, Northeastern University, Shenyang 110819, China,College of Information Science and Engineering, Northeastern University, Shenyang 110819, China,College of Information Science and Engineering, Northeastern University, Shenyang 110819, China,College of Information Science and Engineering, Northeastern University, Shenyang 110819, China and College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
Abstract:The integrated energy system(IES)has the characteristic of multi-energy coupling, which can realize the comprehensive utilization and maximize the synergistic effects and complementary benefits among different kinds of energy, such as electricity, heat and natural gas. In this context, this paper proposes a structure of IES to couple electricity, heat and gas. The energy coupling degree and other definitions used for quantitative analysis of the coupling of IES are presented. Besides, an IES optimal operation model using minimum cost as the target is developed, in which the electricity, heat and natural gas network constraints are taken into account. Considering the coupling problem among electricity, heat and natural gas, a collaborative optimization method based on Lagrangian relaxation(LR)is proposed to achieve multi-energy decoupling in the IES optimal operation. Finally, a 71-node IES test system is used to verify the effectiveness of the proposed model and method, and the mapping relationship between the IES optimization results and the system coupling is analyzed quantitatively.
Keywords:integrated energy system(IES)  coupling  optimal operation  Lagrangian relaxation(LR)
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