| A pooled-neighbor swarm intelligence approach to optimal reactive power dispatch |
| |
| 作者姓名： | GUO Chuang-xin ZHAO Bo |
| |
| 作者单位： | School of Electrical Engineering，Zhejiang University，Hangzhou 310027，China |
| |
| 基金项目： | Project supported by the National Natural Science Foundation ofChina (No. 60421002) and the Outstanding Young Research Inves-tigator Fund (No. 60225006), China |
| |
| 摘 要： | INTRODUCTION The reactive power dispatch is aimed at mini- mizing the active power loss in the transmission network by allocating the reactive power generation under several security constraints. The reactive power dispatch problem has significant influence on secure and economic operation of power systems. The reac- tive power generation affects the overall generation cost via transmission loss. A procedure which allo- cates the reactive power generation so as to minimize the transmissio…
|
| 关 键 词： | 无功功率 群体智能 多代理系统 整体最佳化 |
| 收稿时间： | 2005-10-20 |
| 修稿时间： | 2006-02-21 |
A pooled-neighbor swarm intelligence approach to optimal reactive power dispatch |
| |
| GUO Chuang-xin ZHAO Bo.A pooled-neighbor swarm intelligence approach to optimal reactive power dispatch[J].Journal of Zhejiang University Science,2006,7(4):615-622. |
| |
| Authors: | Chuang-xin Guo Bo Zhao |
| |
| Institution: | (1) School of Electrical Engineering, Zhejiang University, Hangzhou, 310027, China |
| |
| Abstract: | This paper presents a pooled-neighbor swarm intelligence approach (PNSIA) to optimal reactive power dispatch and voltage control
of power systems. The proposed approach uses more particles℉ information to control the mutation operation. The proposed PNSIA
algorithm is also extended to handle mixed variables, such as transformer taps and reactive power source installation, using
a simple scheme. PNSIA applied for optimal power system reactive power dispatch is evaluated on an IEEE 30-bus power system
and a practical 118-bus power system in which the control of bus voltages, tap position of transformers and reactive power
sources are involved to minimize the transmission loss of the power system. Simulation results showed that the proposed approach
is superior to current methods for finding the optimal solution, in terms of both solution quality and algorithm robustness.
Project supported by the National Natural Science Foundation of China (No. 60421002) and the Outstanding Young Research Investigator
Fund (No. 60225006), China |
| |
| Keywords: | Reactive power dispatch Swarm intelligence Multi-agent systems Global optimization |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
