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1.智能电网教育部重点实验室(天津大学),天津市 300072
2.天津市智慧能源与信息技术重点实验室(天津大学),天津市 300072
曹逸滔(1998—),男,硕士研究生,主要研究方向:综合能源系统规划。E-mail:ytcao@tju.edu.cn
王丹(1981—),男,通信作者,博士,副教授,博士生导师,主要研究方向:综合能源系统、智能配用电系统等。E-mail:wangdantjuee@tju.edu.cn
贾宏杰(1973—),男,博士,教授,主要研究方向:大电网稳定性分析、电网规划、新能源集成、综合能源系统分析。E-mail:hjjia@tju.edu.cn
收稿:2022-07-04,
修回:2022-08-27,
网络出版:2022-12-06,
纸质出版:2023-04-10
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曹逸滔,王丹,贾宏杰等.考虑多能碳流约束的区域综合能源系统双层博弈扩展规划[J].电力系统自动化,2023,47(7):12-22.
CAO Yitao,WANG Dan,JIA Hongjie,et al.Bilevel Nash-Stackelberg Game Expansion Planning of Regional Integrated Energy System Considering Multi-energy Carbon Flow Constraints[J].Automation of Electric Power Systems,2023,47(7):12-22.
曹逸滔,王丹,贾宏杰等.考虑多能碳流约束的区域综合能源系统双层博弈扩展规划[J].电力系统自动化,2023,47(7):12-22. DOI: 10.7500/AEPS20220704007.
CAO Yitao,WANG Dan,JIA Hongjie,et al.Bilevel Nash-Stackelberg Game Expansion Planning of Regional Integrated Energy System Considering Multi-energy Carbon Flow Constraints[J].Automation of Electric Power Systems,2023,47(7):12-22. DOI: 10.7500/AEPS20220704007.
随着能源和环境的问题逐渐受到社会重视,碳减排已经成为各类系统规划问题的研究要素,综合能源系统以其多能耦合的独特性对减排提效有着重要作用。以此为研究背景,提出一种考虑碳约束的双层Nash-Stackelberg博弈扩展规划方法。依据比例分摊原则建立系统线路碳流率和节点碳势计算模型,构建了考虑多能碳流约束的电网公司、天然气公司和能源站三大主体的规划收益模型,采用了不动点迭代的双层Nash-Stackelberg博弈规划方法,利用粒子群优化算法求解博弈模型,并引入Kriging元模型提高寻优效率。算例结果验证了所提方法的合理性和有效性,博弈规划满足了市场三大主体各自利益的最大化,而多能碳流约束的引入有利于引导投资方增加绿电设备的建设。
As the problems of energy and environment are getting more and more social attentions
carbon emission reduction has become the research element of various system planning problems. The integrated energy system plays an important role in improving the efficiency of emission reduction with its unique characteristic of multi-energy coupling. Taking this as the research background
a bilevel Nash-Stackelberg game expansion planning method considering carbon constraints is proposed. According to the proportional sharing principle
the calculation model of carbon flow rate and nodal carbon intensity for the system line is established
and the planning income model of the three main bodies of the power grid company
natural gas company and energy hub considering the constraints of multi-energy carbon flow is constructed. The bilevel Nash-Stackelberg game planning method of fixed point iteration is adopted to solve the game model with the particle swarm optimization algorithm. The Kriging meta-model is introduced to improve the optimization efficiency. The results of the example verify the rationality and effectiveness of the proposed method. The game planning meets the maximization of the respective interests of the three main bodies in the market
and the introduction of multi-energy carbon flow constraints is conducive to guiding investors to increase the construction of green power equipment.
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