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基于电压灵敏度的配电网光伏消纳能力随机场景模拟及逆变器控制参数优化整定

徐志成 赵波 丁明 周金辉 韦立坤

中国电机工程学报2016,Vol.36Issue(6):1578-1587,1770,11.
中国电机工程学报2016,Vol.36Issue(6):1578-1587,1770,11.DOI:10.13334/j.0258-8013.pcsee.2016.06.013

基于电压灵敏度的配电网光伏消纳能力随机场景模拟及逆变器控制参数优化整定

Photovoltaic Hosting Capacity Evaluation of Distribution Networks and Inverter Parameters Optimization Based on Node Voltage Sensitivity

徐志成 1赵波 2丁明 1周金辉 2韦立坤1

作者信息

  • 1. 安徽省新能源利用与节能实验室 合肥工业大学,安徽省合肥市 230009
  • 2. 国网浙江省电力公司电力科学研究院,浙江省杭州市 310014
  • 折叠

摘要

Abstract

With large-scale distributed photovoltaic (PV) integrated into distribution networks, the reasonable evaluation method on PV hosting capacity of distribution networks has become current research hotspot. A stochastic scenario simulation method based on node voltage sensitivity was proposed to assess PV accommodation of distribution system. The typical scenario was selected according to PV penetration level at each sequential hour, and a pseudo-normal distribution sampling technique was employed to improve the stochastic simulation efficiency. Reactive power regulation capability of inverter can be utilized to compress overvoltage caused by PV accession. The Volt/Var 6-point control mode was applied to realize local voltage control. The inverter parameters optimization was determined by standard particle swarm optimization with the objective of minimum voltage deviation and reactive regulation. The IEEE 33-bus test system was established in OpenDSS platform, and the case study results indicate that the proposed method is effective and feasible.

关键词

配电网/分布式光伏/电压灵敏度/随机场景/类正态抽样/参数优化/无功控制

Key words

distribution network/distributed photovoltaic/voltage sensitivity/stochastic scenario simulation/pseudo- normal distribution sampling/parameters optimization/reactive power control

分类

信息技术与安全科学

引用本文复制引用

徐志成,赵波,丁明,周金辉,韦立坤..基于电压灵敏度的配电网光伏消纳能力随机场景模拟及逆变器控制参数优化整定[J].中国电机工程学报,2016,36(6):1578-1587,1770,11.

基金项目

国家863高技术基金项目(2015AA050104);国家电网公司科技项目(5211DS150015)。 Project Supported by the National High Technology Research and Development of China 863 Program (2015AA050104) (2015AA050104)

Key Technology Project of State Grid Corporation of China (5211DS150015) (5211DS150015)

中国电机工程学报

OA北大核心CSCDCSTPCD

0258-8013

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