基于随机最优潮流的主动配电网DG渗透率规划
DG Penetration Rate Planning for Active Distribution Network Based on S-OPF
卫春峰 1符杨 1李振坤 1蒋一鎏2
作者信息
- 1. 上海电力学院,上海200090
- 2. 国网常州供电公司,江苏常州213003
- 折叠
摘要
主动配电网(ADN)是智能电网框架下智能配电网的重要内容.在研究多种集成模式的基础上,从配电公司角度建立了以经济性最优为目标函数的DG渗透率规划数学模型,并定义了集成度和削减率两个DG集成指标.采用时序模型模拟配电网中负荷和DG出力的双重不确定性,提出了基于随机最优潮流(S-OPF)的DG渗透率规划方法.随机潮流采用蒙特卡罗模拟法.结合上海地区实际配电网常用接线模式,建立了上海48节点ADN测试算例,分析了两种情景下DG集成指标对于经济性的影响.
Abstract
Active distribution network (ADN) is an indispensable part of smart distribution network under smart grid framework.Based on the study of vaarious integration modes,an economy optimal model of DG penetration rate plan from a DSO perspective is proposed and two DG integration indexes are defined,namely integration ratio and GC ratio.The hourly sequential model is adopted to simulate load and DG uncertainties and a method of DG optimal plan based on stochastic optimal power flow (S-OPF) is presented.Monte Carlo simulation is used in stochastic power flow.Combined with usual connection mode of Shanghai distribution network,a 48 bus test system is built for ADN research in Shanghai.The influence of integration indexes on economy in two scenarios is analyzed and some useful conclusions are achieved.
关键词
主动配电网/随机最优潮流/集成模式/集成指标/蒙特卡罗模拟/时序模型Key words
active distribution network (ADN)/stochastic optimal power flow (S-OPF)/integration mode/integration index/Monte Carlo simulation/hourly sequential model引用本文复制引用
出版年
2014
NETL
NSTL
维普
万方数据