Sizing and Siting of Multi-types of Distribution Generator Considering Redundant Electricity and Timing Characteristics

HUANG Weiguo; LIU Junyong; WEI Zhenbo; DAI Songling; FAN Yiwen

doi:10.13296/j.1001-1609.hva.2016.03.015

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Sizing and Siting of Multi-types of Distribution Generator Considering Redundant Electricity and Timing Characteristics

更新时间：2025-04-26

- Sizing and Siting of Multi-types of Distribution Generator Considering Redundant Electricity and Timing Characteristics
- High VoltageApparatus Vol. 52, Issue 3, Pages: 93-99(2016)
- 作者机构：
  
  1. 四川大学电气信息学院
  2. 国网四川省电力经济技术研究院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2016.03.015
  CLC： TM715
- Published：2016
- 稿件说明：
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[1]黄炜果,刘俊勇,魏震波,戴松灵,范译文.考虑冗余电量和时序性的分布式电源的选址定容[J].高压电器,2016,52(03):93-99.

HUANG Weiguo, LIU Junyong, WEI Zhenbo, et al. Sizing and Siting of Multi-types of Distribution Generator Considering Redundant Electricity and Timing Characteristics[J]. High voltageapparatus, 2016, 52(3): 93-99.
[1]黄炜果,刘俊勇,魏震波,戴松灵,范译文.考虑冗余电量和时序性的分布式电源的选址定容[J].高压电器,2016,52(03):93-99. DOI： 10.13296/j.1001-1609.hva.2016.03.015.

HUANG Weiguo, LIU Junyong, WEI Zhenbo, et al. Sizing and Siting of Multi-types of Distribution Generator Considering Redundant Electricity and Timing Characteristics[J]. High voltageapparatus, 2016, 52(3): 93-99. DOI： 10.13296/j.1001-1609.hva.2016.03.015.

摘要

配电网中接入分布式电源（distributed generation

DG）的核心问题是提高负荷对DG出力的消纳能力

因此文中提出了DG冗余电量的概念。通过建立经典时序场景模拟DG全年出力的情况

并以分布式电源安装费用、网络损耗、以及冗余电量为目标函数;采用蒙特卡洛方法计算随机潮流并得到期望网损;使用遗传算法对模型进行求解。计算结果在满足负荷能消纳DG最大出力的基础上

尽可能地降低DG容量

提高其渗透率从而降低经济成本

验证了模型的合理性。

Abstract

The research has proposed a concept about the redundant electricity of distributed generators（DG）

and the core problem in distribution network is how to improve the absorptive ability to the output of DG. Based on the typical scenarios simulating the yearly situation

the optimal model contains the cost of network loss

the cost of DGs’ installation and the redundant electricity cost. The Monte Carlo simulation is used to get the stochasic power flow to calculate the network loss and judges whether the model can satisfy power flow constraint or not. At last

the planning model is solved by improved genetic algorithm.The result shows that it has improved the permeability of DG and decreased the cost while satisfying the demand of loads. It proves the correct of planning model.

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