| 引用本文: | 闫新旭,郝丽丽,刘海涛,窦真兰,金坤坎,李威.考虑综合需求响应的电-气综合能源系统顺序恢复优化决策[J].电力自动化设备,2026,46(1):144-153 |
| YAN Xinxu,HAO Lili,LIU Haitao,DOU Zhenlan,JIN Kunkan,LI Wei.Sequential restoration optimization decision-making of electricity-gas integrated energy system considering integrated demand response[J].Electric Power Automation Equipment,2026,46(1):144-153 |
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| 摘要: |
| 在综合能源系统供能中断后的恢复过程中，利用其多能协同互助的优势将有助于降低停能事件的损失和影响。为此，考虑电-气综合能源系统在恢复过程中的源-荷和荷-荷耦合特性，通过引入综合需求响应来发挥负荷在单能源系统内和多能源系统间的主动响应能力，进一步提升负荷的时空柔性调节能力。考虑负荷综合需求响应、多区域并行恢复和天然气慢动态特性，以电-气综合能源系统恢复净收益最大为目标建立恢复优化决策模型，并将其转换为混合整数二阶锥模型进行求解。以由IEEE 33节点电网和20节点气网构建的电气综合能源系统为算例对所提策略进行验证，结果表明综合需求响应的引入可以在供能恢复阶段充分发挥多能时空协同互助优势，提高系统恢复净收益。 |
| 关键词: 电-气综合能源系统 综合需求响应 恢复决策 天然气慢动态特性 顺序恢复 |
| DOI：10.16081/j.epae.202508007 |
| 分类号: |
| 基金项目:江苏省配电网智能技术与装备协同创新中心开放基金资助项目(XTCX202402)；江苏省研究生科研与实践创新计划项目（KYCX25_1751） |
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| Sequential restoration optimization decision-making of electricity-gas integrated energy system considering integrated demand response |
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YAN Xinxu1, HAO Lili1, LIU Haitao2, DOU Zhenlan3, JIN Kunkan1, LI Wei4
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1.College of Electrical Engineering & Control Science, Nanjing Tech University, Nanjing 211816, China;2.School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China;3.State Grid Shanghai Municipal Electric Power Company, Shanghai 200122, China;4.State Grid Electric Power Research Institute(NARI Group Corporation),Nanjing 211106, China
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| Abstract: |
| In the restoration process of integrated energy system after energy supply interruption, giving full play to the advantages of multi-energy coordination and mutual assistance of the integrated energy system can help to reduce the loss and influence of the energy interruption event. To this end, the source-load and load-load coupling characteristics of the electricity-gas integrated energy system in the restoration process are fully considered, and the integrated demand response is introduced to exert the active response ability of load in a single energy system and among multiple energy systems, further improving the spatio-temporal flexible regulation ability of the load. Considering load integrated demand response, multi-regional parallel restoration and slow dynamic characteristics of natural gas, a restoration optimization decision-making model is established with the goal of maximizing restoration net income of electricity-gas integrated energy system, and the model is transformed into a mixed integer second-order cone model for solution. The proposed strategy is verified by the electricity-gas integrated energy system constructed by IEEE 33-node power grid and 20-node gas network. The results show that the introduction of integrated demand response can give full play to the advantages of multi-energy spatio-temporal cooperation and mutual assistance in the energy supply restoration stage, and improve the restoration net income. |
| Key words: electricity-gas integrated energy system integrated demand response restoration decision-making slow dynamic characteristics of natural gas sequential restoration |
