| 引用本文: | 王志强,方正,刘文霞,王凌飞,王朝亮,许烽.基于概率多场景的柔性配电网鲁棒运行优化[J].电力自动化设备,2019,39(7): |
| WANG Zhiqiang,FANG Zheng,LIU Wenxia,WANG Lingfei,WANG Chaoliang,XU Feng.Robust operation optimization of flexible distribution network based on probabilistic multi-scenario[J].Electric Power Automation Equipment,2019,39(7): |
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| 摘要: |
| 分布式电源和波动负荷的接入使得传统配电网的调节设备和手段凸显出局限性，柔性开关设备(SOP)的应用可以解决间歇性源荷带来的问题。针对多端柔性互联设备在柔性配电网中的应用，建立计及运行损耗的三端SOP的拓扑结构和数学模型；考虑到源荷出力的不确定性会导致配电网节点电压越限和功率潮流不合理，将鲁棒优化和场景分析方法相结合，建立基于概率多场景的鲁棒运行优化模型，并采用锥优化方法进行求解；为了实现场景数量和精度平衡下多场景的快速生成，提出基于拉丁超立方抽样的概率多场景生成方法。以3组IEEE 33节点系统组成的配电网为算例，验证了所提鲁棒运行优化模型和场景生成方法的有效性，所提模型与方法实现了配电网运行经济性与安全性的协调，显著提高了模型计算效率，有效避免了“维数灾”现象。 |
| 关键词: 柔性配电网 三端SOP 概率多场景 鲁棒运行优化 拉丁超立方抽样 |
| DOI：10.16081/j.issn.1006-6047.2019.07.006 |
| 分类号:TM761 |
| 基金项目:国家重点研发计划项目(2017YFB0903100)；国家电网公司科技项目(521104170043) |
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| Robust operation optimization of flexible distribution network based on probabilistic multi-scenario |
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WANG Zhiqiang1, FANG Zheng1, LIU Wenxia1, WANG Lingfei1, WANG Chaoliang2, XU Feng2
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1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China;2.State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China
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| Abstract: |
| The traditional regulating devices and methods show limitation due to the access of distribution generators and fluctuating loads, and the application of SOP(Soft Open Point) can solve the problems caused by the intermittent sources and loads. Aiming at the application of multi-terminal flexible interconnection equipment in flexible distribution network, the topological structure and mathematical model of three-terminal SOP are built with the consideration of operation loss. Since the output uncertainty of sources and loads will lead to node voltage violation and unreasonable power flow of distribution network, a robust operation optimization model based on probabilistic multi-scenario is established with the combination of robust optimization and scene analysis method, which is solved by conic optimization method. In order to realize rapid generation of multi-scenario with the balance of scene number and accuracy, a probabilistic multi-scenario generation method based on Latin hypercube sampling is proposed. The distribution network consisting of three IEEE 33-bus systems is taken as an example to verify the effectiveness of the proposed model and method, which realizes the coordination of economy and safety of distribution network operation, improves the model computational efficiency significantly, and avoids the phenomenon of “dimensional disaster” effectively. |
| Key words: flexible distribution network three-terminal SOP probabilistic multi-scenario robust operation optimization Latin hypercube sampling |
