Optimal Measurement Placement Using PSO for State Estimation

被引：0
|
作者：
Rosli, Hazwani Mohd [1 ]
Mokhlis, Hazlie [2 ]
Abu Bakar, Ab. Halim [2 ]
机构：
[1] Univ Malaya, Dept Elect Engn, Kuala Lumpur, Malaysia
[2] Univ Malaya, Fac Engn, UMPEDAC, Kuala Lumpur, Malaysia
来源：
2012 IEEE INTERNATIONAL CONFERENCE ON POWER AND ENERGY (PECON) | 2012年
关键词：
Measurement placement; Particle Swarm Optimization; state estimation and observability; NETWORK OBSERVABILITY; ALGORITHM; SYSTEM;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper presents an effective method based on Particle Swarm Optimization (PSO) to identify the optimal measurement placement of power system state estimation. The main objective is to simplify the complexity in finding the best measurement placement and provide a high accuracy level of estimated state. The effectiveness of the proposed method is tested using the IEEE 30 bus system. Pseudo measurements of load injection are included as measurement data in assisting the state estimation computation.
引用
收藏
页码：834 / 839
页数：6
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