| 引用本文: | 朱翟畦,蔡胜,谢云云,吴昊,常康,郁琛.极寒天气下考虑电热需求替代的UIES韧性提升策略[J].电力自动化设备,2025,45(10):76-83,109. |
| ZHU Zhaiqi,CAI Sheng,XIE Yunyun,WU Hao,CHANG Kang,YU Chen.Resilience enhancement strategy of UIES under extreme cold weather considering electric and thermal demand substitution[J].Electric Power Automation Equipment,2025,45(10):76-83,109. |
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| 摘要: |
| 为充分挖掘极寒天气下负荷侧灵活资源在提升城市综合能源系统(UIES)韧性方面的潜力，提出考虑电热需求替代的UIES韧性提升策略。计及建筑物热惯性和用户舒适度模糊性，构建极寒天气下UIES电-热耦合负荷需求模型。针对UIES故障后失去主网供电的情况，建立基于虚拟潮流的孤岛微能网拓扑决策解析模型。在此基础上，考虑电负荷和热负荷之间的互补替代作用，以多元负荷恢复量最大和用户舒适度最优为目标，建立UIES韧性运行优化模型。进一步对模型进行线性化处理，将其转化为混合整数线性规划问题进行求解。采用由IEEE 33节点配电网和43节点热网构成的测试系统进行仿真分析，结果表明，所提方法利用负荷的电热需求替代能力提升了UIES中18.07 %的负荷恢复量，同时将建筑物室内温度维持在更高水平。 |
| 关键词: 极寒天气 城市综合能源系统 韧性提升 建筑物热惯性 电热需求替代 |
| DOI：10.16081/j.epae.202508012 |
| 分类号: |
| 基金项目:智能电网国家科技重大专项项目(2030)(2024ZD0801100)；国家自然科学基金资助项目(52407108)；江苏省基础研究计划(自然科学基金)资助项目(BK20241482) |
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| Resilience enhancement strategy of UIES under extreme cold weather considering electric and thermal demand substitution |
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ZHU Zhaiqi1, CAI Sheng1, XIE Yunyun1, WU Hao2, CHANG Kang3, YU Chen3
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1.School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China;2.State Key Laboratory of Intelligent Power Distribution Equipment and System, Tianjin University, Tianjin 300072, China;3.NARI Group Corporation(State Grid Electric Power Research Institute),Nanjing 211106, China
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| Abstract: |
| To enhance the resilience of urban integrated energy system(UIES) by leveraging flexible resources at load side under extreme cold weather, a resilience enhancement strategy of UIES considering electric and thermal demand substitution is proposed. By considering the thermal inertia of buildings and the fuzzy nature of users’ comfort, an electric-thermal coupled load demand model is constructed under extreme cold weather. For scenarios in which the UIES loses the supply from main grid due to faults, a decision analytical model for islanded micro-energy grid topology is established based on virtual power flow. On this basis, an optimization model for UIES resilience operation is formulated, aiming to maximize the multivariate load recovery while maintaining user’s comfort, with the consideration of complementary and substitution relationship between electric and thermal loads. The model is further linearized and transformed into a mixed integer linear programming problem for efficient solution. The simulation analysis is conducted on a test system consisting of the IEEE 33-node power distribution network and 43-node thermal network. The results demonstrate that the proposed method can effectively utilize the demand substitution ability between electrical and thermal loads to increase the load recovery by 18.07 % in UIES, while maintaining indoor temperature of buildings at a higher level. |
| Key words: extreme cold weather urban integrated energy system resilience enhancement thermal inertia of buildings electric and thermal demand substitution |
