| 引用本文: | 谢琳宇,唐忠,黄星宇,薛佳诚,盛锐.考虑分布式电源和电动汽车不确定性的双层动态配网重构[J].电力系统保护与控制,2020,48(10):1-11.[点击复制] |
| XIE Linyu,TANG Zhong,HUANG Xingyu,XUE Jiacheng,SHENG Rui.Bi-layer dynamic reconfiguration of a distribution network considering the uncertainty of distributed generation and electric vehicles[J].Power System Protection and Control,2020,48(10):1-11[点击复制] |
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| 摘要: |
| 分布式电源(Distributed Generation, DG)和电动汽车(Electric Vehicle, EV)的广泛应用对主动配电网的优化运行提出了更高的要求，配电网重构是其关键技术之一。考虑DG、EV和其他负荷的不确定性，通过拉丁超立方采样(Latin Hypercube Sampling, LHS)产生随机变量并考虑其相关性。然后分别以最小化综合运行成本和系统节点电压差为目标函数，建立双层优化模型。最后采用基于化整为零策略的改进和声搜索算法(Improved Harmony Search Algorithm, IHSA)进行分时段配网动态重构。通过IEEE33节点系统的仿真，验证了上述方法在提高可再生能源利用率的同时，可以有效提高配电网运行的经济性和可靠性。 |
| 关键词: 分布式电源 电动汽车 拉丁超立方采样 双层优化模型 配网动态重构 |
| DOI：10.19783/j.cnki.pspc.190786 |
| 投稿时间：2019-07-05修订日期：2019-09-04 |
| 基金项目:国家自然科学基金项目(61672337) |
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| Bi-layer dynamic reconfiguration of a distribution network considering the uncertainty of distributed generation and electric vehicles |
| XIE Linyu,TANG Zhong,HUANG Xingyu,XUE Jiacheng,SHENG Rui |
| (College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China) |
| Abstract: |
| The widespread application of Distributed Generation (DG) and Electric Vehicles (EVs) puts higher requirements on the optimal operation of an active distribution network, and distribution network reconfiguration is one of the key technologies to cope with this. Considering the uncertainties of DG, EV and other loads, the correlation of random variables generated by Latin Hypercube Sampling (LHS) is considered. Then, a bi-layer optimization model is established by minimizing the integrated operation cost and the system nodes’ voltage difference. Finally, the Improved Harmony Search Algorithm (IHSA) based on the strategy of breaking up the whole into parts is used in dynamic reconfiguration of distribution network in different time intervals. Through the simulation of an IEEE33 node system, this paper proves that the above method can effectively improve the economics and reliability of distribution network operation while enhancing the utilization rate of renewable energy. This work is supported by National Natural Science Foundation of China (No. 61672337). |
| Key words: distributed generation electric vehicle Latin hypercube sampling bi-layer optimization model dynamic reconfiguration of distribution network |
