| 面向配电网弹性提升的智能软开关鲁棒优化 |
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| 引用本文： | 胡玉,顾洁,马睿,白凯峰,严胜,王承民,王智冬.面向配电网弹性提升的智能软开关鲁棒优化[J].电力自动化设备,2019,39(11). |
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| 作者姓名： | 胡玉 顾洁 马睿 白凯峰 严胜 王承民 王智冬 |
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| 作者单位： | 上海交通大学电子信息与电气工程学院,上海,200240;国家电网有限公司,北京,100031;国网经济技术研究院有限公司,北京,102209 |
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| 基金项目： | 国家重点基础研究发展计划项目(2016YFB09001-00)；国家电网公司总部科技项目(B3440818K010)；上海市科委重大项目(18DZ1100303) |
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| 摘 要： | 研究了自然灾害场景下提升配电网弹性的智能软开关(SNOP)优化配置问题。综合考虑SNOP的功能特性与运行边界,建立了面向配电网弹性提升的SNOP配置三层防御-攻击-防御优化模型,并提出了求解该模型的两阶段鲁棒优化方法——列约束生成(CCG)算法。以IEEE 33节点为例,对所述模型和求解算法进行验证,结果表明所得的SNOP优化配置与运行方案可显著提升灾害场景下的配电网弹性,降低供电负荷损失量。
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| 关 键 词： | 自然灾害 配电网 弹性 智能软开关 鲁棒优化 列约束生成算法 |
SNOP robust optimization for distribution network resilience enhancement |
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| HU Yu,GU Jie,MA Rui,BAI Kaifeng,YAN Sheng,WANG Chengmin and WANG Zhidong.SNOP robust optimization for distribution network resilience enhancement[J].Electric Power Automation Equipment,2019,39(11). |
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| Authors: | HU Yu GU Jie MA Rui BAI Kaifeng YAN Sheng WANG Chengmin and WANG Zhidong |
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| Affiliation: | School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China,State Grid Corporation of China, Beijing 100031, China,School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China and State Grid Economic and Technological Research Institute Co.,Ltd.,Beijing 102209, China |
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| Abstract: | The optimal allocation problem of SNOP(Soft Normally Open Point) to improve the distribution network resilience under the natural disaster scenarios is researched. Considering the functional characteristics and operational boundaries of SNOP comprehensively, a defender-attacker-defender optimization model for distribution network resilience enhancement is established, and a two-stage robust optimization method, column-and-constraint generation algorithm, is developed to solve the proposed model. IEEE 33-bus system is taken as an example to verify the model and the algorithm. The results show that the optimal allocation and operation scheme of SNOP can significantly improve the resilience of distribution network under the disaster scenario and reduce the power outage loss. |
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| Keywords: | natural disaster distribution network resilience soft normally open point robust optimization column-and-constraint generation algorithm |
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