| 引用本文: | 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.[点击复制] |
| HE Chuan,ZHOU You,LIU Xuan,NAN Lu,LIU Tianqi.Distributionally robust optimization planning for integrated electricity-gas distribution systems considering explicit reliability constraints and natural gas linepack[J].Power System Protection and Control,2025,53(10):102-116[点击复制] |
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| 摘要: |
| 随着可再生能源占比的提升，气电联合配网(integrated electricity-gas distribution systems, IEGDS)发展迅速，其研究的必要性也随之凸显。为解决IEGDS考虑可再生能源接入后的多设施规划及可靠性评估问题，提出了考虑可靠性约束的IEGDS分布鲁棒优化(distributionally robust optimization, DRO)规划模型。可靠性评估通过系统平均中断频率指标(system average interruption frequency index, SAIFI)与预期能源未供应指标(expectation energy not supplied, EENS)量化，给出一种显式可靠性评估模型。利用Wasserstein距离衡量的DRO规划模型来处理可再生能源出力、电与气负荷的随机性。最后经过案例分析得出，投建设施种类的增加不仅能降低总成本，还能提高系统运行可靠性与灵活性，可再生能源出力与气电负荷的不确定性导致总成本提升60%以上。随着可靠性要求提升总成本也随之提高，但得到的方案在实际应用中更具价值与参考性。 |
| 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 |
| DOI：10.19783/j.cnki.pspc.241048 |
| 投稿时间：2024-03-31修订日期：2024-08-25 |
| 基金项目:国家自然科学基金项目资助(52007125，52107118) |
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| Distributionally robust optimization planning for integrated electricity-gas distribution systems considering explicit reliability constraints and natural gas linepack |
| HE Chuan1,ZHOU You1,LIU Xuan2,NAN Lu1,LIU Tianqi1 |
| (1. College of Electrical Engineering, Sichuan University, Chengdu 610065, China; 2. College of Electrical and
Information Engineering, Hunan University, Changsha 410082, China) |
| 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. |
| Key words: integrated electricity-gas distribution systems uncertainty-based planning reliability assessment distributionally robust optimization gas linepack demand response services |
