上海交通大学学报 ›› 2024, Vol. 58 ›› Issue (1): 59-68.doi: 10.16183/j.cnki.jsjtu.2022.186

• 新型电力系统与综合能源 • 上一篇    下一篇

变步长仿真与改进熵权法联动的综合能源系统鲁棒性评估方法

范宏, 何杰(), 田书欣   

  1. 上海电力大学 电气工程学院,上海 200090
  • 收稿日期:2022-05-27 修回日期:2022-07-07 接受日期:2022-08-16 出版日期:2024-01-28 发布日期:2024-01-16
  • 通讯作者: 何 杰,硕士生;E-mail:573206910@qq.com.
  • 作者简介:范 宏(1978-),副教授,从事电力系统规划运行研究.
  • 基金资助:
    国家自然科学基金(52007112)

Robust Evaluation Method of Integrated Energy System Based on Variable Step Simulation and Improved Entropy Weight Method

FAN Hong, HE Jie(), TIAN Shuxin   

  1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China
  • Received:2022-05-27 Revised:2022-07-07 Accepted:2022-08-16 Online:2024-01-28 Published:2024-01-16

摘要:

综合能源系统作为能源互联网的重要表现形式,在提高能源利用率的同时,由于耦合度过高,各系统之间响应速度差异过大,所以带来了更多风险.从系统安全的角度出发,准确找出系统中的薄弱环节,评估系统的鲁棒性至关重要.为此,在复杂网络环境下,提出变步长仿真与改进熵权法联合的鲁棒性评估方法.介绍综合能源系统的结构并进一步解释系统耦合环节;提出包含网络破损度、联通因子在内的鲁棒性指标,采用根据不同系统响应时间差异的变步长仿真方法,针对仿真结果提出一种改进熵权法,构建更客观的评价方法;通过案例验证了该评价方法的优越性.

关键词: 综合能源系统, 复杂网络, 鲁棒性, 熵权法, 评估方法

Abstract:

As an important manifestation of the energy Internet, the integrated energy system improves the energy utilization rate. However, it also brings more risks due to the high coupling and the large difference in the response speed between the various systems. From the perspective of system security, it becomes crucial to accurately identify the weak links in the system and evaluate the robustness of the system. Therefore, a robustness evaluation method combining variable step size simulation and improved entropy weight method is proposed in the complex network environment. First, the structure of the integrated energy system is introduced and the coupling links of the system are further explained. Then, the robustness indicators including network damage degree and connectivity factor are proposed, and a variable step according to the difference of the response time of different systems is adopted. Based on the simulation results, an improved entropy weight method is proposed, and a more objective evaluation method is constructed. Finally, the superiority of the evaluation method is verified by a case study.

Key words: integrated energy system, complex network, robustness, entropy method, evaluation method

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