摘要
针对分布式电源(DG)输出功率随机性的特点,提出概率函数圆的抽样方法改进了传统的蒙特卡洛抽样,构建了DG概率模型。提出了直流配电网供电能力评估指标以及多目标评估函数,基于德尔菲法利用判断矩阵对指标进行定性和定量分析,最终采用改进遗传算法进行最优化求解。算例中针对辐射型、环形、网格状结构的直流配电网在DG渗透率不同的条件下进行计算及比较分析,验证了该方法的可行性,对未来的直流配电网供电能力研究提供参考。
An improved Monte Carlo sampling method called probability circle sampling based on the distributed generation probability model is presented.The power supply capability indexes of DC power distribution network were constructed and the multi objective function of the DC power supply capacity is proposed.The Delphi method and judgment matrix are used to analyze the index qualitatively and quantitatively prior to finally optimizing the solution with an improved genetic algorithm.In the calculation example,the DC distribution network of radial type,ring type and mesh type are calculated and compared at different permeability rates of DG.The feasibility of the proposed method is verified and considered useful as a reference for research on power supply capability of DC distribution network in the future.
出处
《电力系统自动化》
EI
CSCD
北大核心
2017年第9期58-64,共7页
Automation of Electric Power Systems
基金
上海绿色能源并网工程技术研究中心资助项目(13DZ2251900)~~
关键词
直流配电网
随机模型
供电能力
指标体系
优化评估
DC distribution network
stochastic model
power supply capability
index system
optimized evaluation