广东电力2017，Vol.30Issue(10)：43-46,4.DOI:10.3969/j.issn.1007-290X.2017.010.008
基于模拟退火粒子群算法的并网光伏容量置信度评估
Confidence Evaluation for Grid-connected Photovoltaic Capacity Based on Particle Swarm Optimization with Simulated Annealing
张弛 1曾杰 1赵伟 1钟国彬 1梅成林1
作者信息
- 1. 广东省智能电网新技术企业重点实验室(广东电网有限责任公司电力科学研究院),广东 广州 510080
- 折叠
摘要
Abstract
In order to accurately measure contribution of photovoltaic generation to the power distribution network,this pa-per presents a kind of confidence evaluation method for grid-connected photovoltaic capacity based on particle swarm opti-mization with simulated annealing (SA-PSO)which firstly adopts time sequence Monte Carlo method for state sampling for conventional units so as to generate annual available capacity sequences of units and then calculates loss of load expectation (LOLE)of system. On this basis,taking invariant reliability of photovoltaic before and after accessing to the system as the target,this method uses SA-PSO to solve confidence capacity of grid-connected photovoltaic. By means of example simula-tion on IEEE-RTS79 system,this paper verifies effectiveness of this evaluation method.关键词
可靠性评估/时序MonteCarlo/光伏置信容量/模拟退火/粒子群算法Key words
reliability evaluation/time sequence Monte Carlo/photovoltaic confidence capacity/simulated annealing/parti-cle swarm optimization algorithm分类
信息技术与安全科学引用本文复制引用
张弛,曾杰,赵伟,钟国彬,梅成林..基于模拟退火粒子群算法的并网光伏容量置信度评估[J].广东电力,2017,30(10):43-46,4.
