MCSA算法在电力系统稳定性中的应用  

Application of Modified Chameleon Swarm Algorithm in Power System Stability

作　　者：陈亮[1] 朱元凯[1] 李长英[1] CHEN Liang;ZHU Yuan-kai;LI Chang-ying(Taishan Vocational and Technical College,Taian 271000,China)

机构地区：[1]泰山职业技术学院,山东泰安271000

出　　处：《电脑与电信》2024年第5期66-70,共5页Computer & Telecommunication

摘　　要：在电力系统中经常发生低频振荡的现象,危及电力系统的稳定。振荡主要是由于频率、负荷、电压、有功功率和无功功率的突变引起的。利用改进的变色龙优化算法(MCSA)给出了阻尼低频振荡的方法。并将改进的变色龙群算法与传统的变色龙群算法和遗传算法在实际功率、无功功率和负载扰动等在不同条件下进行比较,分析了系统的阻尼性能和稳定性。实验结果表明,该控制器具有较高的阻尼比,对转速和功角偏差具有较好的阻尼,提高了系统的稳定性。Power system stability has been difficult due to the occurrence of low frequency oscillation in the modern power system.Oscillation is mainly due to sudden changes of frequency,load,voltage,active power and reactive power.In this paper,we provide a damping solution to oscillate the low frequency by using Modified Chameleon Swarm Algorithm.Damping performance and stability analysis of system is done by proposed Modified Chameleon Swarm Algorithm compared with conventional Chameleon Swarm Algorithm and Genetic Algorithm with different operating condition in terms of real power,reactive power and load disturbances.The comparative results confirmed that the proposed controller exhibits higher damping ratio,and better damping of deviations in speed and power angle to improve the stability of the system.

关 键 词：变色龙优化算法 低频振荡 阻尼 PSDC 多机电力系统 

分 类 号：TM712[电气工程—电力系统及自动化]