山东电力技术2025，Vol.52Issue(3)：40-48,9.DOI:10.20097/j.cnki.issn1007-9904.2025.03.005
考虑不确定性分布式电源的电能质量概率性选址定容策略
Probabilistic Site Selection and Capacity Determination Strategy for Power Quality Considering Uncertain Distributed Power Sources
李建杰 1钟文涛 1穆明亮 1李平 1王志1
作者信息
- 1. 国网山东省电力公司滨州供电公司,山东 滨州 256600
- 折叠
摘要
Abstract
In recent years,the random integration of numerous power electronics-based distributed generations(DGs)into distribution networks has led to increased randomness and uncertainty in power generation.Simultaneously,the distribution networks are also affected by the stochastic and nonlinear characteristics of loads,exacerbating the issue of power quality compared to the past.To address this,we propose a site selection and capacity determination method that considers the uncertainties of both loads and DGs,with power loss and total harmonic distortion(THD)of voltage serving as the objective functions.Probability models for loads and DGs are established,and their parameters are estimated using nonlinear least squares and expectation maximization optimization algorithms,respectively.An improved unscented transformation method is employed to ascertain the power flow conditions within the system.By integrating the traversal optimization algorithm with network loss sensitivity factors,we are able to identify the optimal integration scheme for DGs while minimizing computational complexity.Furthermore,we construct a probabilistic optimization solution algorithm to tackle the probabilistic optimization problem of DGs in distribution networks under uncertain conditions,thereby enabling optimized management and control of DGs.Simulation verifications conducted on the IEEE-33 and IEEE-69 node systems reveal that the proposed method can significantly reduce network losses and improve power quality.关键词
分布式电源/概率模型/改进的无迹变换方法/遍历最优化算法Key words
distributed generation/probabilistic models/improved traceless transformation methods/traversal optimization algorithms分类
动力与电气工程引用本文复制引用
李建杰,钟文涛,穆明亮,李平,王志..考虑不确定性分布式电源的电能质量概率性选址定容策略[J].山东电力技术,2025,52(3):40-48,9.
