摘要
为消除飞轮储能系统(flywheel energy storage system,FESS)稳定器与电力系统稳定器(power system stabilizer,PSS)间可能存在的相互负影响,提出将加入混沌算法和模拟退火思想的改进粒子群优化算法(improved particle swarmoptimization,IPSO)用于协调优化FESS稳定器与PSS参数。该算法通过混沌初始化和迭代中加入模拟退火思想来提高算法的效率和全局搜索能力。将多种运行方式下的所有特征值作为考察对象,在目标函数中同时考虑机电振荡模式和非机电振荡模式的性能,并通过IPSO算法协调优化各稳定器参数。在新英格兰10机系统算例中,应用IPSO算法协调优化的稳定器在不同运行方式下都能有效抑制系统振荡,表明了该方法的有效性和鲁棒性。在4机系统算例中,通过与逐个设计稳定器方法的比较可知,经IPSO协调优化的稳定器具有更好的阻尼效果,从而验证了该方法的优越性。
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.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2011年第28期1-8,共8页
Proceedings of the CSEE
基金
中央高校基本科研业务费专项资金项目资助(2010B05814)~~
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
flywheel energy storage system （FESS）
low-frequency oscillation
power system stabilizer （PSS）
particle swarm optimization （PSO）
chaos algorithm
annealing algorithm
