基于热电解耦CCHP和综合需求响应协同优化的配电网韧性提升策略

刘艳; 陈国华; 顾雪平

doi:10.19912/j.0254-0096.tynxb.2023-0932

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (10) : 186-198. DOI: 10.19912/j.0254-0096.tynxb.2023-0932

基于热电解耦CCHP和综合需求响应协同优化的配电网韧性提升策略

刘艳, 陈国华, 顾雪平

作者信息 +

DISTRIBUTION NETWORK RESILIENCE IMPROVEMENT STRATEGY BASED ON THERMOELECTRIC DECOUPLING CCHP AND INTEGRATED DEMAND RESPONSE COLLABORATIVE OPTIMIZATION

Liu Yan, Chen Guohua, Gu Xueping

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文章历史 +

摘要

针对灾后紧急恢复阶段,提出一种基于热电解耦燃气冷热电三联供（CCHP）和综合需求响应协同优化的配电网韧性提升策略。该策略在提升韧性的同时计及资源利用效能,通过刻画计及不确定性的冷热用户响应意愿曲线,得到其可用调温范围,并基于此提出衡量用户舒适度的温度偏离度指标,最终以停电周期内电负荷恢复价值量最大和冷热负荷温度偏离度最小为目标构建多目标优化模型,利用ε-约束模型将其转换为单目标模型进行求解。以IEEE-69电力系统与比利时20节点天然气网络耦合系统进行仿真模拟,验证策略的有效性。

Abstract

For the post-disaster emergency recovery stage, this paper proposes a power grid resilience improvement strategy based on thermoelectric decoupling CCHP and integrated demand response collaborative optimization. This strategy takes into account resource utilization efficiency while improving resilience. By characterizing the response willingness curve of cold and hot users that takes into account uncertainty, the available temperature range is obtained, and based on this, a temperature deviation index is proposed to measure user comfort. Finally, a multi-objective optimization model is constructed with the goal of maximizing the value of electrical load recovery during power outage period and minimizing the temperature deviation of cold and hot loads. The ε constraint method is used to convert it into a single objective model for solution. The effectiveness of the strategy is verified through simulation of the IEEE-69 power system coupled with a 20 node natural gas network in Belgium.

导出引用

刘艳, 陈国华, 顾雪平. 基于热电解耦CCHP和综合需求响应协同优化的配电网韧性提升策略[J]. 太阳能学报. 2024, 45(10): 186-198 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0932

Liu Yan, Chen Guohua, Gu Xueping. DISTRIBUTION NETWORK RESILIENCE IMPROVEMENT STRATEGY BASED ON THERMOELECTRIC DECOUPLING CCHP AND INTEGRATED DEMAND RESPONSE COLLABORATIVE OPTIMIZATION[J]. Acta Energiae Solaris Sinica. 2024, 45(10): 186-198 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0932

中图分类号： TK01+9

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