首页|基于PSO-CS算法的主动配电网规划系统研究

基于PSO-CS算法的主动配电网规划系统研究

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近年来,主动配电网规划作为一种新兴的电力系统规划方法,已经得到了广泛的关注和研究.为减少配电网的损耗,提高系统的稳定性,同时降低投资成本,研究在布谷鸟算法的基础上对其步长因子进行优化,并将改进的布谷鸟算法与粒子群算法结合为一种混合算法,最后将其应用于配电网规划问题的求解中,结果显示,混合算法的平均计算时间为12.5 s,显著低于其他 3 种算法,证明了其计算效率较高.基于混合算法的配电网系统的电压幅值差比其他 3 种算法低28.6%、50.0%、266.7%,证明了该系统稳定性较高.以上结果说明设计的基于混合算法的配电网系统有助于提高电力系统的效率和稳定性,能够为电力系统的发展提供技术支持和指导.
Research on Active Distribution Network Planning System Based on PSO-CS Algorithm
In recent years,active distribution network planning,as an emerging power system planning method,has received widespread attention and research.In order to reduce losses in the distribution network,improve system stability,and reduce invest-ment costs,a study was conducted to optimize the step factor based on the cuckoo algorithm.The improved cuckoo algorithm was com-bined with particle swarm optimization to form a hybrid algorithm.Finally,it was applied to solve distribution network planning prob-lems.The results showed that the average calculation time of the hybrid algorithm was 12.5 seconds,significantly lower than the other three algorithms,Proved its high computational efficiency.The voltage amplitude difference of the distribution network system based on hybrid algorithm is 28.6%,50.0%,and 266.7%lower than the other three algorithms,proving that the system has high stability.The above results indicate that the designed distribution network system based on hybrid algorithms helps to improve the efficiency and stability of the power system,and can provide technical support and guidance for the development of the power system.

powersystemactive distribution networkcuckooparticle swarmalgorithmplanning

刘丽、梁大鹏、薛璐璐、杨亮

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国网冀北电力有限公司经济技术研究院,北京 100038

北京博望华科科技有限公司,北京 100045

电力 系统 主动配电网 布谷鸟 粒子群 算法 规划

2024

自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
年,卷(期):2024.(11)