首页|基于数值"+"定位模型的PSO含分布式电源配电网区段定位研究

基于数值"+"定位模型的PSO含分布式电源配电网区段定位研究

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通过引入数值"+"开关函数,构建了一个加权求和模型,使配电网的状态值能够更准确地反映实际运行情况.在优化过程中,粒子群算法的粒子位置和速度被动态调整,以适应配电网的拓扑结构和负荷分布,进而实现对分布式电源的高效集成与协调运行.实验结果表明,改进粒子群算法在多个测试案例中较传统算法表现出显著的适应性和有效性,平均适应度提高了15%~25%,收敛速度也显著提升.这一研究为分布式电源配电网的优化调度提供了新的思路和方法,能够有效降低电力传输损耗、提高能源利用效率.
Research on Section Positioning of PSO Distribution Network with Distributed Power Resources Based on Value"+"Positioning Model
By introducing the value"+"switching function,a weighted summation model is constructed to make the state value of distribution network more accurately reflect the actual operation.In the optimization process,the particle position and velocity of Particle Swarm Optimization(PSO)are dynamically adjusted to adapt to the topol-ogy and load distribution of the distribution network,so as to achieve the efficient integration and coordinated op-eration of distributed power supply.The experimental results show that the improved PSO shows remarkable adapt-ability and effectiveness compared with the traditional algorithm in several test cases,the average fitness is increased by 15%~25%,and the convergence speed is also significantly improved.This research provides a new idea and method for optimal dispatching of distributed power distribution network,which can effectively reduce power transmission loss and improve energy utilization efficiency.

Value"+"positioning modelDistribution networkSection positioningParticle Swarm Optimization

吕文虎

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福建水利电力职业技术学院 福建永安 366000

数值"+"定位模型 配电网 区段定位 粒子群算法

2024

科技资讯
北京国际科技服务中心 北京合作创新国际科技服务中心

科技资讯

影响因子:0.51
ISSN:1672-3791
年,卷(期):2024.22(23)