陈逸儒, 李志刚, 郑杰辉. 考虑流体-热力动态的多能耦合网络系统可靠性评估方法[J]. 高电压技术, 2025, 51(1): 169-179. DOI: 10.13336/j.1003-6520.hve.20232217
引用本文: 陈逸儒, 李志刚, 郑杰辉. 考虑流体-热力动态的多能耦合网络系统可靠性评估方法[J]. 高电压技术, 2025, 51(1): 169-179. DOI: 10.13336/j.1003-6520.hve.20232217
CHEN Yiru, LI Zhigang, ZHENG Jiehui. Reliability Assessment of Multi-energy Network Systems Considering Hydraulic and Thermal Dynamics[J]. High Voltage Engineering, 2025, 51(1): 169-179. DOI: 10.13336/j.1003-6520.hve.20232217
Citation: CHEN Yiru, LI Zhigang, ZHENG Jiehui. Reliability Assessment of Multi-energy Network Systems Considering Hydraulic and Thermal Dynamics[J]. High Voltage Engineering, 2025, 51(1): 169-179. DOI: 10.13336/j.1003-6520.hve.20232217

考虑流体-热力动态的多能耦合网络系统可靠性评估方法

Reliability Assessment of Multi-energy Network Systems Considering Hydraulic and Thermal Dynamics

  • 摘要: 随着异质能源子系统之间耦合愈加紧密,综合能源系统面临的运行风险更加严峻。现有大多数可靠性评估方法缺乏对网络拓扑、传输延时以及热动态特性的研究,导致结果可信性低。该文首先提出了冷、热、电联供系统六状态可靠性模型,以提高可靠性模型的精度;然后,提出了计及热惯性与流体动态的可靠性指标,改进了供冷、供热以及供气系统可靠性指标的计算方法,从而更准确地描述综合能源系统的可靠性水平;最后,提出了考虑网络拓扑结构和传输损耗的最优负荷削减模型,以准确反映其对可靠性水平的影响。采用由六节点电力系统、六节点集中供热网络、六节点供冷网络以及七节点供气系统组成的仿真算例验证了所提方法的可行性,并深入分析了多能互补特性对系统可靠性的影响。

     

    Abstract: The increasing interdependence among energy sectors has heightened the risks faced by integrated energy systems (IESs). Therefore, conducting reliability assessments is crucial to identifying vulnerabilities and taking security measures. However, the current literature lacks considerations regarding network topology, transmission loss, appropriate reliability models, and the differentiation of thermal dynamics within IESs. This deficiency leads to unreliable assessment \mathsfoutcomes. To address this problem, a six-state reliability model is proposed specifically including combined cooling, heating, and power (CCHP) systems. This model aims to significantly enhance the accuracy of IESs. Furthermore, the reliability indices for IESs are put forward after taking into acc\mathsfout the thermal inertia characteristics of buildings and circulating water, and the calculation method for the reliability indices of cooling, heating, and gas supplying system is improved, so that a more precise characterization of the reliability levels inherent in IESs can be provided. Additionally, an optimal load shedding model is developed, and network topologies and transmission losses are put forward to accurately portray their impacts on reliability performance.An IES composed of a six-bus power system, a six-node district heating network, a six-node district cooling network, and a seven-node gas network is utilized for numerical validation, verifying the efficacy of the proposed method. Moreover, this work delves into discussing the multienergy complementary characteristics intrinsic to IESs.

     

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