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多机系统中飞轮储能系统稳定器与PSS的协调优化

史林军 张磊 陈少哺 唐国庆

中国电机工程学报2011,Vol.31Issue(28):1-8,8.
中国电机工程学报2011,Vol.31Issue(28):1-8,8.

多机系统中飞轮储能系统稳定器与PSS的协调优化

Coordination and Optimization of FESS-based Stabilizers and PSS in Multi-machine Power Systems

史林军 1张磊 2陈少哺 3唐国庆4

作者信息

  • 1. 河海大学能源与电气学院,江苏省南京市210098
  • 2. 江苏省电力公司,江苏省南京市210024
  • 3. 泰州供电公司,江苏省泰州市225300
  • 4. 东南大学电气工程学院,江苏省南京市210096
  • 折叠

摘要

Abstract

In order to eliminate the negative interaction among stabilizers based on the flywheel energy storage system (FESS) and power system stabilizer (PSS), an improved particle swarm optimization (IPSO) was applied to coordinate and optimize FESS-based stabilizers and PSS, which combines the chaos algorithm and annealing algorithm. IPSO has the strong and overall searching ability and high efficiency by applying chaos initialization and annealing algorithm in iteration. The electromechanical modes and non- electromechanical modes were taken into account in the objective function which investigated all eigenvalues at multiple operation conditions. And parameters of all stabilizers were coordinated and optimized by IPSO. In the 10-machine New England system, the power system low-frequency oscillations are effectively suppressed at different operation conditions by the FESS-based stabilizers and PSS tuned by IPSO. The result indicates the validity and robustness of the IPSO. In the 4-machine system, the damping effect using stabilizers designed by IPSO is better than using stabilizers designed one by one, and it demonstrates the advantage of the IPSO.

关键词

飞轮储能系统/低频振荡/电力系统稳定器/粒子群优化算法/混沌算法/模拟退火算法

Key words

flywheel energy storage system (FESS)/low-frequency oscillation/power system stabilizer (PSS)/particle swarm optimization (PSO)/chaos algorithm/annealing algorithm

分类

信息技术与安全科学

引用本文复制引用

史林军,张磊,陈少哺,唐国庆..多机系统中飞轮储能系统稳定器与PSS的协调优化[J].中国电机工程学报,2011,31(28):1-8,8.

基金项目

基金项目:中央高校基本科研业务费专项资金项目资助(2010805814). ()

中国电机工程学报

OA北大核心CSCDCSTPCD

0258-8013

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