| 引用本文: | 李少岩,戴瑞恒,张涛,顾雪平,屠竞哲,冀鲁豫,白岩松.面向蓄意物理攻击下电-气综合能源系统韧性提升的协同加固策略[J].电力自动化设备,2026,46(1):40-48 |
| LI Shaoyan,DAI Ruiheng,ZHANG Tao,GU Xueping,TU Jingzhe,JI Luyu,BAI Yansong.Collaborative reinforcement strategy for enhancing resilience of electricity-gas integrated energy system against deliberate physical attacks[J].Electric Power Automation Equipment,2026,46(1):40-48 |
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| 摘要: |
| 在蓄意物理攻击场景下，电-气综合能源系统极易出现大规模停电和严重的燃气供应中断事件，制定事前加固方案可提升系统整体的防御能力。面向蓄意物理攻击场景，以系统失负荷量评估电-气综合能源系统的韧性水平，实现不同能源形式负荷损失的统一表征。充分计及不同能源系统攻击难度与效果的差异性，建立基于主从博弈的3层两阶段事前线路加固方案优化模型，并采用列与约束生成算法对模型进行求解，有效识别最恶劣攻击场景并得到最优加固策略。以修改的新英格兰10机39节点电力系统与比利时20节点天然气系统为算例进行仿真分析，结果验证了在电-气综合能源系统蓄意物理攻击防御研究中计及电-气系统耦合特性的必要性，所得协同加固策略能在不同的攻击资源水平下有效提升系统整体的防御韧性。 |
| 关键词: 电-气综合能源系统 蓄意物理攻击 韧性提升 线路加固 列与约束生成算法 |
| DOI：10.16081/j.epae.202510018 |
| 分类号:TM73;TK01 |
| 基金项目:国家自然科学基金资助项目(52477096) |
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| Collaborative reinforcement strategy for enhancing resilience of electricity-gas integrated energy system against deliberate physical attacks |
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LI Shaoyan1, DAI Ruiheng1, ZHANG Tao1, GU Xueping1, TU Jingzhe2, JI Luyu2, BAI Yansong2
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1.School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China;2.China Electric Power Research Institute, Beijing 100192, China
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| Abstract: |
| Under the deliberate physical attack scenarios, the electricity-gas integrated energy system is extremely vulnerable to large-scale power outages and serious gas supply interruptions. Formulating pre-event reinforcement schemes can improve the overall defense ability of the system. For the deliberate physical attack scenarios, the resilience level of electricity-gas integrated energy system is evaluated by the system’s load loss, so as to realize the unified characterization of load loss in different energy forms. Fully considering the differences in the difficulty and effectiveness of attacks on different energy systems, a three-layer two-stage optimization model for pre-event line reinforcement schemes based on master-slave game is established. The column and constraint generation algorithm is applied to solve the model, then the most severe attack scenarios are identified effectively and the optimal reinforcement strategy is obtained. Taking the modified New England 10-machine 39-node power system and the Belgian 20-node gas system as examples for simulation analysis, the results verify the necessity of considering the coupling characteristics of the electricity-gas system in the research on the defense against deliberate physical attacks in the electricity-gas integrated energy system. The obtained coordinated reinforcement strategy can effectively enhance the overall defense resilience of the system under different attack resource levels. |
| Key words: electricity-gas integrated energy system deliberate physical attacks resilience enhancement line reinforcement column and constraint generation algorithm |
