引用本文:邵振国,林勇棋,陈飞雄,郑翔昊,郭奕鑫,颜熙颖.考虑碳-绿证耦合机制的电-气-热综合能源系统分布式鲁棒低碳经济调度[J].电力自动化设备,2024,44(6):50-58,76.
SHAO Zhenguo,LIN Yongqi,CHEN Feixiong,ZHENG Xianghao,GUO Yixin,YAN Xiying.Distributionally robust low-carbon economic dispatch of electricity-gas-heat integrated energy system considering carbon-green certificate coupling mechanism[J].Electric Power Automation Equipment,2024,44(6):50-58,76.
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考虑碳-绿证耦合机制的电-气-热综合能源系统分布式鲁棒低碳经济调度
邵振国, 林勇棋, 陈飞雄, 郑翔昊, 郭奕鑫, 颜熙颖
福州大学 电气工程与自动化学院 福建省电器智能化工程技术研究中心,福建 福州 350108
摘要:
为了保护综合能源系统中不同运营主体的信息隐私,权衡系统运行低碳性和经济性,解决天然气网络鲁棒模型难以求解的问题,提出了考虑碳-绿证耦合机制的电-气-热综合能源系统分布式鲁棒低碳经济调度方法。考虑天然气网络和热力网络的动态特性、碳-绿证耦合机制,构建综合能源系统动态低碳经济调度模型;为了保护各网络运营商的数据隐私,根据能量耦合关系对综合能源系统解耦,建立电-气-热网络的分布式协同优化模型;在此基础上,考虑风电出力和多能负荷的不确定性,提出基于一致性交替方向乘子法的分布式鲁棒优化框架,并利用二阶锥对偶理论与交替优化方法实现含二阶锥约束和二元变量的鲁棒子问题求解。以修改的IEEE 39节点电力网络、比利时20节点天然气网络和15节点热力网络为算例进行仿真分析,验证所提方法能够在源荷不确定性条件下实现综合能源系统各网络分散自治运行,同时兼顾系统运行的低碳性和经济性。
关键词:  电-气-热综合能源系统  碳-绿证耦合  动态特性  鲁棒优化  低碳经济调度  交替方向乘子法
DOI:10.16081/j.epae.202311006
分类号:
基金项目:国家自然科学基金资助项目(52107080);福建省自然科学基金资助项目(2021J05135)
Distributionally robust low-carbon economic dispatch of electricity-gas-heat integrated energy system considering carbon-green certificate coupling mechanism
SHAO Zhenguo, LIN Yongqi, CHEN Feixiong, ZHENG Xianghao, GUO Yixin, YAN Xiying
Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
Abstract:
In order to protect the information privacy of different operators in the integrated energy system(IES),balance the low-carbon and economy of the system operation and solve the problem that the robust model of natural gas network is difficult to solve, a distributionally robust low-carbon economic dispatch method of electricity-gas-heat IES considering the carbon-green certificate coupling mechanism is proposed. Considering the dynamic characteristics of natural gas and heat networks and the carbon-green certificate coupling mechanism, the dynamic low-carbon economic dispatch model of IES is constructed. In order to protect the data privacy of each network operator, a distributed collaborative optimization model of the electricity-gas-heat IES is constructed by decoupling the IES according to the energy coupling relationship. On this basis, considering the uncertainties of wind power output and multi-energy load, a distributionally robust optimization framework based on the consensus-based alternating direction method of multipliers is proposed. And the robust sub-problems with second-order cone constraints and binary variables are solved by using the second-order cone dual theory and alternative optimization method. A modified IEEE 39-bus electricity network, Belgium 20-node natural gas network and a 15-node heat network are taken as examples for simulation analysis. It is verified that the proposed method can realize the decentralized autonomous operation of each network in IES under the condition of uncertain source and load, while balancing the low-carbon and economy of system operation.
Key words:  electricity-gas-heat integrated energy system  carbon-green certificate coupling  dynamic characteristics  robust optimization  low-carbon economic dispatch  alternating direction method of multipliers

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