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计及分布式电源的变电站个数及馈线条数概率规划
作者:
作者单位:

1.重庆大学电气工程学院,重庆市 400044;2.国网荆门供电公司,湖北省荆门市 448000;3.国网西安供电公司,陕西省西安市 710048

摘要:

随着分布式电源渗透率的提高,分布式电源对配电网规划方法和结果的影响研究更具现实意义。采用概率规划方法,建立了涉及分布式电源的变电站个数及馈线条数优化简化模型,模型目标为变电站和中压线路的相关总费用最小,并考虑了线路的容量约束;提出了中压主干线与分支线长度的近似计算模型,并考虑了负荷变化、分布式电源随机性和线路负荷转供率对停电时间和停电费用的影响。基于模型求解获得的变电站优化个数、馈线优化条数和最小总费用,定义了相应的三大类置信变量。算例表明了概率规划对于变电站个数和馈线条数选择的意义以及分布式电源的替代作用。

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Probabilistic Planning for Number of Substations and Feeders Considering Distributed Generators
Author:
Affiliation:

1.School of Electrical Engineering, Chongqing University, Chongqing 400044, China;2.State Grid Jingmen Power Supply Company, Jingmen 448000, China;3.State Grid Xi‘an Power Supply Company, Xi‘an 710048, China

Abstract:

With the increase of distributed generator (DG) penetration rates, the research on the impact of DG on the methods and results of distribution network planning has become more and more practical. A simplified optimization model for the number of substations and feeders with DGs is established by using a probability planning method. The model objective is to minimize the total cost of substations and medium-voltage lines, and the line capacity constraints are considered. An approximate calculation model of the length of medium-voltage trunk lines and branch lines is proposed, and the influence of load variation, DG randomness and line load transfer rate on the outage time and outage cost is considered. Based on the minimum total cost and the optimized number of substations and feeders obtained by model solution, three categories of credit variables are defined. The examples show the significance of probabilistic planning for the selection of the number of substations and feeders, and the substitution effects of DGs.

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引用本文
[1]谭笑,王主丁,舒东胜,等.计及分布式电源的变电站个数及馈线条数概率规划[J/OL].电力系统自动化,http://doi. org/10.7500/AEPS20200218004.
TAN Xiao, WANG Zhuding, SHU Dongsheng, et al. Probabilistic Planning for Number of Substations and Feeders Considering Distributed Generators[J/OL]. Automation of Electric Power Systems, http://doi. org/10.7500/AEPS20200218004.
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  • 收稿日期:2020-02-18
  • 最后修改日期:2020-07-16
  • 录用日期:2020-06-22
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