陈健, 林咨良, 赵浩然, 吴秋伟, 宋关羽. 考虑信息耦合的电–气综合能源系统韧性优化方法[J]. 中国电机工程学报, 2020, 40(21): 6854-6864. DOI: 10.13334/j.0258-8013.pcsee.200440
引用本文: 陈健, 林咨良, 赵浩然, 吴秋伟, 宋关羽. 考虑信息耦合的电–气综合能源系统韧性优化方法[J]. 中国电机工程学报, 2020, 40(21): 6854-6864. DOI: 10.13334/j.0258-8013.pcsee.200440
CHEN Jian, LIN Zi-liang, ZHAO Hao-ran, WU Qiu-wei, SONG Guan-yu. Optimization Method for Resilience of Integrated Electric-gas System With Consideration of Cyber Coupling[J]. Proceedings of the CSEE, 2020, 40(21): 6854-6864. DOI: 10.13334/j.0258-8013.pcsee.200440
Citation: CHEN Jian, LIN Zi-liang, ZHAO Hao-ran, WU Qiu-wei, SONG Guan-yu. Optimization Method for Resilience of Integrated Electric-gas System With Consideration of Cyber Coupling[J]. Proceedings of the CSEE, 2020, 40(21): 6854-6864. DOI: 10.13334/j.0258-8013.pcsee.200440

考虑信息耦合的电–气综合能源系统韧性优化方法

Optimization Method for Resilience of Integrated Electric-gas System With Consideration of Cyber Coupling

  • 摘要: 信息通讯技术与多能源耦合技术的不断发展使得传统能源系统逐渐转变为具有典型信息物理特征的现代综合能源系统,信息物理背景下的综合能源系统韧性分析变得更加复杂。该文对信息系统与能源系统在控制、供能及网络拓扑连接等方面的相互关系进行描述。同时,采用天然气网络动态潮流模型,并考虑配电网网络重构在物理层与信息层的耦合关系,构建基于有向多物网络流模型的信息物理耦合电-气综合能源系统韧性优化分析模型。在此基础上,建立韧性–经济性两步优化框架,首先以失负荷量最小为优化目标进行网络重构,然后在韧性优化确定的网络结构基础上进行经济性运行优化,并采用改进交替方向乘子法进行分布式求解,最终通过算例仿真验证模型与方法的有效性与正确性。

     

    Abstract: The continuous development of information communication technology and energy coupling technology has gradually transformed traditional energy systems into modern integrated energy systems with typical cyber physical characteristics. Therefore, the resilience analysis of integrated energy systems in the context of cyber physical system is more complicated. This paper described the interrelationships between cyber system and energy system in terms of control, energy supply, and network topology connection. At the same time, with the consideration of dynamic power flow of natural gas and the coupling relationship between physical layer and cyber layer in distribution network reconfiguration, a resilience optimization analysis model of integrated cyber electricity-gas system based on directed multicommodity flow model was established. Moreover, a two-step optimization framework of resilience and economy was constructed. Firstly, the network reconfiguration was performed with the minimum load loss as the optimization goal, and then the economic operation optimization was solved by alternating direction multipliers method(ADMM) based on the network structure determined in the first step. Finally, case study was presented to verify the validity and correctness of the model and method.

     

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