| 引用本文: | 李长城,张玺,胡弘,潘松,苏子扬,周鹏.计及动态管存效应的电-气综合能源系统多源协同故障恢复[J].电力自动化设备,2026,46(1):135-143 |
| LI Changcheng,ZHANG Xi,HU Hong,PAN Song,SU Ziyang,ZHOU Peng.Multi-source coordinated fault restoration for electricity-gas integrated energy system considering dynamic pipeline gas storage effect[J].Electric Power Automation Equipment,2026,46(1):135-143 |
|
| 摘要: |
| 为解决电-气综合能源系统故障恢复问题，提出了一种计及气网动态管存效应的综合能源系统多源协同恢复方法，以提升城市电-气综合能源系统韧性。详细分析了气网的动态管存效应在应对系统源荷波动时的抵御和缓冲作用。以最大化加权电、气负荷恢复量和最小化网损为目标函数，以配电网联络开关投运状态、电网和气网负荷恢复状态及各分布式能源出力策略为优化变量，考虑配电网和天然气网关键运行约束条件，建立多时段故障恢复模型，并运用二阶锥技术和分段增量线性化技术将所提模型转化为混合整数线性规划问题求解。通过对改进的IEEE 13节点配电网和IEEE 7节点天然气网的耦合系统仿真，证明了所提方法的有效性和优越性。 |
| 关键词: 电-气综合能源系统 故障恢复 动态管存 多源协同 韧性 |
| DOI：10.16081/j.epae.202509014 |
| 分类号:TM715 |
| 基金项目:广西自然科学基金资助项目(2025GXNSFAA069510) |
|
| Multi-source coordinated fault restoration for electricity-gas integrated energy system considering dynamic pipeline gas storage effect |
|
LI Changcheng1, ZHANG Xi1, HU Hong2, PAN Song1, SU Ziyang1, ZHOU Peng3
|
|
1.Guangxi Key Laboratory of Power System Optimization and Energy Technology(Guangxi University),Nanning 530004, China;2.Electric Power Research Institute of Guangxi Power Grid Co.,Ltd.,Nanning 530023, China;3.Yulin Power Supply Bureau, Guangxi Power Grid Co.,Ltd.,Yulin 537000, China
|
| Abstract: |
| To address the fault restoration problem in electricity-gas integrated energy system, a multi-source coordinated restoration method for integrated energy system that considers the dynamic pipeline gas storage effect is proposed, aiming to enhance the resilience of urban electricity-gas integrated energy system. The resistance and buffering effects of the dynamic pipeline gas storage against source-load fluctuations are analyzed in detail. Then, a multi-period fault restoration model is established, which takes maximizing the weigh-ted restoration amounts of electricity and gas loads while minimizing network loss as the objective function, takes the operational status of distribution network tie switches, the restoration status of electricity and gas loads, and the output strategies of distributed energy resources as the optimization variables, and considers the key operational constraints of distribution network and the gas network. The model is transformed into a mixed-integer linear programming problem using second-order cone relaxation and piecewise incremental linearization techniques. Simulations on a coupled system consisting of modified IEEE 13-node distribution network and IEEE 7-node gas network demonstrate the effectiveness and superiority of the proposed method. |
| Key words: electricity-gas integrated energy system fault restoration dynamic pipeline gas storage multi-source coordination resilience |
