考虑CO_(2)排放量的能量枢纽运行配置优化  被引量:1

Optimization of Operation Configuration for Energy Hub Considering CO_(2) Emissions

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作  者:杨子成[1] 武志宏[1] 王旭东 段敬 陈伟 郭浩 刘芯汝 高辉[4] YANG Zi-Cheng;WU Zhi-Hong;WANG Xu-Dong;DUAN Jing;CHEN Wei;GUO Hao;LIU Xin-Ru;GAO Hui(State Grid Shanxi Electric Power Co.Ltd.,Taiyuan 030021,China;Information and Communication Branch,State Grid Shanxi Electric Power Company,Taiyuan 030021,China;NARI Nanjing Control System Co.Ltd.,Nanjing 211106,China;Nanjing University of Posts and Telecommunications,Nanjing 210023,China)

机构地区:[1]国网山西省电力公司,太原030021 [2]国网山西电力公司信息通信分公司,太原030021 [3]国电南瑞南京控制系统有限公司,南京211106 [4]南京邮电大学,南京210023

出  处:《计算机系统应用》2021年第9期279-287,共9页Computer Systems & Applications

摘  要:多能源系统通过电、热、气等不同形式能源在生产、传输、消费等多个环节进行协同优化为解决能源与环境问题提供了新方案.能量枢纽(EH)作为多能源系统的耦合环节,其配置方案对多能源系统的优化运行至关重要.在此背景下,本文提出了一种考虑CO_(2)排放量的含电力、热能、天然气等不同形式能源的能量枢纽优化运行配置方案.在考虑CO_(2)排放量的基础上,提出一个多目标优化问题,并采用遗传算法(GA)求解整体优化问题,从而实现社会效益最大化,CO_(2)排放量最小化的目标.最后通过不同配置算例的分析比较验证所提方法的有效性,为能量枢纽的建设和运行提供理论和技术支撑.Multi-energy systems provide a new solution to energy and environmental problems through the collaborative optimization of production,transmission and consumption of different forms of energy,such as electricity,heat and gas.Energy Hub(EH)is the coupling link of a multi-energy system,and its configuration scheme is crucial to the optimal operation of the multi-energy system.In this context,a scheme for optimal operation and configuration of EHs with different forms of energy,such as electricity,heat and natural gas,is proposed,taking into account the CO_(2)emission.On the basis of considering CO_(2)emission,a multi-objective optimization problem is raised,which is solved by Genetic Algorithm(GA)overall with the aim of maximizing social benefits and minimizing CO_(2)emission.Finally,the effectiveness of the proposed method is verified through the analysis of different configuration examples.This study can provide theoretical and technical support for the construction and operation of EHs.

关 键 词:多能源系统 能量枢纽 可再生能源 碳排放 优化配置 

分 类 号:TK01[动力工程及工程热物理] TM73[电气工程—电力系统及自动化]

 

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