| 引用本文: | 刘菲,林超凡,陈晨,刘瑞环,李更丰,别朝红.考虑分布式新能源动态不确定性的配电网灾后时序负荷恢复方法[J].电力自动化设备,2022,42(7): |
| LIU Fei,LIN Chaofan,CHEN Chen,LIU Ruihuan,LI Gengfeng,BIE Zhaohong.Post-disaster time-series load restoration method for distribution network considering dynamic uncertainty of distributed renewable energy[J].Electric Power Automation Equipment,2022,42(7): |
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| 摘要: |
| 现有弹性配电网负荷恢复研究较少考虑到接入的分布式新能源出力不确定性及其动态更新对负荷恢复策略的影响，同时新兴的动态微电网技术能根据不确定因素的预测曲线灵活调整网络拓扑，进一步提升系统弹性。为此，提出了一种考虑分布式新能源动态不确定性的配电网灾后时序负荷恢复方法。建立了基于高斯Copula的不确定因素预测概率分布滚动修正模型，并提出了基于切片采样法的场景生成方法形成分布式新能源出力和负荷的典型场景；在考虑动态微电网划分的基础上，建立了配电网多时段负荷恢复模型；将滚动修正与负荷恢复模型相结合，建立了弹性配电网在线负荷恢复决策框架。所提方法在改进的IEEE 37节点馈线测试系统中得到了验证，算例结果表明其能充分考虑动态变化的不确定性以及灵活的配电网拓扑对负荷恢复策略的影响，从而有效提高系统的恢复能力。 |
| 关键词: 新能源不确定性 弹性配电网 负荷恢复 动态微电网 滚动修正 |
| DOI：10.16081/j.epae.202204019 |
| 分类号:TM73 |
| 基金项目:国家自然科学基金资助项目(51637008,51977168)；国网电力科学研究院有限公司科技项目(524608200196)；中央高校基本科研业务费专项资金资助项目(xzy022020028) |
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| Post-disaster time-series load restoration method for distribution network considering dynamic uncertainty of distributed renewable energy |
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LIU Fei, LIN Chaofan, CHEN Chen, LIU Ruihuan, LI Gengfeng, BIE Zhaohong
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State Key Laboratory of Electrical Insulation and Power Equipment, Institute of Power System and Its Resilience, Xi’an Jiaotong University, Xi’an 710049, China
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| Abstract: |
| Current studies regarding the load restoration of resilient distribution network have seldom consi-dered the uncertainty of grid-connected distributed renewable energy output and the impact of its dynamic updating on load restoration strategy. Meanwhile, the emerging dynamic microgrid technology can flexibly adjust the network topology according to the forecasting curve of uncertain factors, and therefore further improving system resilience. Therefore, a post-disaster time-series load restoration method for distribution system considering dynamic uncertainty of distributed renewable energy is proposed. The rolling update model of forecasting probability distribution of uncertain factors based on Gaussian Copula is established, and the scenario generating method based on slice sampling method is proposed to formulate the typical scenarios of distributed renewable energy output and load. Then, the multi-period load restoration model is established considering the division of dynamic microgrid. Furthermore, the rolling update is combined with the load restoration model to form the framework of online load restoration decision for resilient distribution system. The proposed method is validated on the modified IEEE 37-bus feeder test system, and the case results show that the method can fully consider the impact of dynamic change uncertainty and flexible topo-logy changing ability of distribution network on load restoration strategy, thus effectively improving system restoration ability. |
| Key words: uncertainty of renewable energy resilient distribution network load restoration dynamic microgrid rolling update |
