| 引用本文: | 季宇,孙彦萍,吴鸣,李洋,李虹,梁海峰.基于可观测性分析的计及DG不确定性配电网表计优化配置[J].电力自动化设备,2017,37(3): |
| JI Yu,SUN Yanping,WU Ming,LI Yang,LI Hong,LIANG Haifeng.Optimal meter allocation based on observability analysis with consideration of DG uncertainty for distribution network[J].Electric Power Automation Equipment,2017,37(3): |
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| 摘要: |
| 提出一种基于可观测性分析的计及分布式电源(DG)出力不确定性的配电网表计优化配置算法。首先，对含DG配电网的可观测性进行了分析，得到表计配置原则，通过网络分割算法分割网络加权树进行表计配置；然后，对满足可观测性要求的表计配置方案进行优化，采用拉丁超立方抽样技术对DG出力不确定性进行处理，得到使量测系统表计数目最少和负荷均衡度最大的配置方案；最后，通过对14节点配电网络和 IEEE 33节点系统进行测试计算，验证了所提算法的有效性。 |
| 关键词: 配电网 分布式电源 可观测性 优化配置 不确定性 拉丁超立方抽样 表计 |
| DOI：10.16081/j.issn.1006-6047.2017.03.005 |
| 分类号: |
| 基金项目:国家电网公司科技项目(区域分布式电源集群技术研究)(5211DS150015)；国家重点研发计划项目(分布式可再生能源发电集群并网消纳关键技术及示范)(2016YFB-0900400) |
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| Optimal meter allocation based on observability analysis with consideration of DG uncertainty for distribution network |
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JI Yu1, SUN Yanping2, WU Ming1, LI Yang1, LI Hong2, LIANG Haifeng2
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1.China Electric Power Research Institute, Beijing 100192, China;2.Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China
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| Abstract: |
| An optimal meter allocation algorithm based on the observability analysis and with the consideration of DG(Distributed Generation) output uncertainty for distribution network is proposed. The ob-servability of distribution network with DGs is analyzed to obtain the principles of meter allocation and a network partition algorithm is used to partition the weighting tree of distribution network for meter allocation. The meter allocation schemes which meet the requirements of observability are then optimized by Latin hypercube sampling technology to deal with the DG output uncertainty for obtaining an optimal scheme with the least meters and the best load equilibrium. The effectiveness of the proposed algorithm is verified by the calculative results for 14-bus distribution network and IEEE 33-bus system. |
| Key words: distribution network distributed generation observability optimal allocation uncertainty Latin hypercube sampling meters |
