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基于改进海鸥算法的主动配电网优化重构

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为了提高主动配电网(Active Distribution Network,ADN)重构后的稳定性和经济性,建立了以ADN系统电压偏移量最小和网损最小的ADN优化重构模型.利用混沌映射初始化和莱维飞行两种策略对海鸥算法进行改进,得到了运算速度更快和计算精度更高的改进海鸥算法(Improved Seagull Optimization Algorithm,ISOA).采用ISOA算法ADN优化重构模型进行求解,并将重构结果与海鸥算法和粒子群算法进行对比,结果表明,利用ISOA算法重构后的电压偏移量和系统网损分别为 0.224 8 p.u.和 69.82 kW,相比海鸥算法和粒子群算法,ISOA算法重构后主动配电网的稳定性和经济性更好.
Optimal Reconfiguration of Active Distribution Network Based on Improved Seagull Algorithm
In order to improve the stability and economy of Active Distribution Network(ADN)after reconfiguration,an optimal reconfiguration model of ADN with minimum voltage offset and Network loss is established.The Improved Seagull Optimization Algorithm(ISOA)was developed by using chaotic map initialization and Levis flight.The ISOA algorithm ADN was used to optimize the reconstruction model,and the reconstruction results were compared with the seagull algorithm and particle swarm optimization algorithm,the voltage offset and system loss after reconstruction using ISOA algorithm are 0.2248p.Shh.Compared with the seagull algorithm and the particle swarm optimization algorithm,the ISOA algorithm is more stable and economical after reconstruction.

active distribution networkreconfigurationimproved seagull algorithmvoltage offsetnetwork loss

彭震东、江娜

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国网湖北省电力有限公司黄石供电公司,湖北 黄石 435000

主动配电网 重构 改进海鸥算法 电压偏移量 网损

2024

青海电力
青海电力科学试验研究院 青海省电机工程学会

青海电力

影响因子:0.26
ISSN:1006-8198
年,卷(期):2024.43(3)
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