| 引用本文: | 王韶,江卓翰,朱姜峰,等.计及分布式电源接入的配电网状态估计[J].电力系统保护与控制,2013,41(13):82-87. |
| WANG Shao,JIANG Zhuo-han,ZHU Jiang-feng,et al.State estimation of distribution network involving distributed generation[J].Power System Protection and Control,2013,41(13):82-87 |
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| 摘要: |
| 为适应分布式电源接入量测配置较少配电网的需要，基于风电和光伏发电系统的功率预测，提出将分布式电源预测有功功率和“虚拟”无功功率作为伪测量建立带等式约束条件的加权最小二乘状态估计模型。模型中计及异步风力发电机的无功-电压特性对雅克比矩阵进行修正，利用光伏发电系统零无功注入等式约束修正估计结果。基于奇异值分解求解建立的模型以保证状态估计的数值稳定性。通过对IEEE33节点算例的仿真计算，结果表明所建的模型将分布式电源自身特性与加权最小二乘状态估计有效融合，能够更准确反映分布式电源出力状态，从而在不增加量测装置 |
| 关键词: 配电网 状态估计 分布式电源 “虚拟”伪测量 奇异值分解 |
| DOI：10.7667/j.issn.1674-3415.2013.13.015 |
| 分类号: |
| 基金项目:输配电装备及系统安全与新技术国家重点实验室自主研究项目（2007DA10512709212）；中央高校基本科研业务费资助项目（CDJXS11150013） |
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| State estimation of distribution network involving distributed generation |
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WANG Shao,JIANG Zhuo-han,ZHU Jiang-feng,et al
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| Abstract: |
| In order to adapt to the requirement that distributed generations access distribution network with a small quantity of measuring equipment, based on the forecasting of wind power and photovoltaic generation, a weighted least squares state estimation model with constraint condition is proposed by regarding the distributed generations’ power forecasting result and "virtual" reactive power as pseudo measurement. In the model, Jacobian matrix is revised by the reactive-voltage characteristic of asynchronous wind turbine, the equality constraint of photovoltaic power generation system’s zero reactive injection is used to revise the result of state estimation. To ensure the state estimation’s numerical stability, singular value decomposition is used to solve the model. Simulation result of IEEE33 node example indicates that this model integrates distributed generations’ own characteristics with weighted least squares state estimation, which reflects the distributed generation’s output more accurately, and improves the precision of state estimation without addition of measuring installation. |
| Key words: distribution network state estimation distributed generation "virtual" pseudo measurement singular value decomposition |
