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考虑显式可靠性约束与燃气管存的气电联合配网分布鲁棒规划方法

何川 周游 刘绚 南璐 刘天琪

电力系统保护与控制2025,Vol.53Issue(10):102-116,15.
电力系统保护与控制2025,Vol.53Issue(10):102-116,15.DOI:10.19783/j.cnki.pspc.241048

考虑显式可靠性约束与燃气管存的气电联合配网分布鲁棒规划方法

Distributionally robust optimization planning for integrated electricity-gas distribution systems considering explicit reliability constraints and natural gas linepack

何川 1周游 1刘绚 2南璐 1刘天琪1

作者信息

  • 1. 四川大学电气工程学院,四川 成都 610065
  • 2. 湖南大学电气与信息工程学院,湖南 长沙 410082
  • 折叠

摘要

Abstract

With the increasing share of renewable energy,integrated electricity-gas distribution systems(IEGDS)have developed rapidly,highlighting the necessity of their study.To address the challenges of multi-facility planning and reliability assessment in IEGDS with renewable energy integration,a distributionally robust optimization(DRO)planning model is proposed that incorporates explicit reliability constraints.Reliability is quantified using the system average interruption frequency index(SAIFI)and the expected energy not supplied(EENS),for which an explicit reliability evaluation model is provided.Using Wasserstein distance,a DRO planning model is employed to address the stochastic nature of renewable energy and gas-electric loads.Case studies show that increasing facility types not only reduces total costs but also enhances system reliability and flexibility.Uncertainties in renewable generation and electricity/gas demand can lead to over a 60%increase in total costs.Additionally,higher reliability requirements further increase costs,but the resulting planning solutions are more valuable and informative for practical implementation.

关键词

气电联合配网/不确定性规划/可靠性评估/分布鲁棒优化/燃气管存量/需求响应服务

Key words

integrated electricity-gas distribution systems/uncertainty-based planning/reliability assessment/distributionally robust optimization/gas linepack/demand response services

引用本文复制引用

何川,周游,刘绚,南璐,刘天琪..考虑显式可靠性约束与燃气管存的气电联合配网分布鲁棒规划方法[J].电力系统保护与控制,2025,53(10):102-116,15.

基金项目

This work is supported by the National Natural Science Foundation of China(No.52007125 and No.52107118). 国家自然科学基金项目资助(52007125,52107118) (No.52007125 and No.52107118)

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