考虑电压稳定波动的分布式发电最优选址与规模

Yifan Xu, Shufeng Dong, Liheng Lin, Shupeng Zhang, Hangyin Mao
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引用次数: 0

摘要

本文在分布式发电规划中考虑了电压稳定的波动。以配电网电压稳定指标的均值和标准差以及配电网的综合投资成本为目标,建立了配电网最优选址和规模的模型。提出了一种改进的多目标粒子群算法,利用自适应惯性权值提高收敛性,利用交叉变异避免陷入局部最优,利用粒子密度过滤非劣解集,得到最优Parato解集。以IEEE33节点系统为例,对风力发电机组和光伏发电机组的位置和容量进行了选择,结果证明了该方法的有效性。
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Optimal Siting and Sizing of Distributed Generation Considering Voltage Stability Fluctuation
The fluctuation of voltage stability is considered in the distributed generation (DG) planning of this paper. Taking the mean value and standard deviation of the voltage stability index and the comprehensive investment cost of the distribution network as the goal, a model for optimal siting and sizing of DG is established. An improved multi-objective particle swarm algorithm is proposed to obtain optimal Parato solution set, in which adaptive inertia weight is used to improve convergence, cross mutation is used to avoid falling into local optima, and particle density is used to filter non-inferior solution sets. Taking the IEEE33 node system as an example, the location and capacity of wind turbines and photovoltaics are selected and the results prove the effectiveness of this method.
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