基于模拟退火粒子群算法的并网光伏容量置信度评估

摘要

为了准确衡量光伏发电对配电网的贡献,提出一种基于模拟退火粒子群算法的并网光伏容量置信度评估方法.首先采用时序Monte Carlo法对常规机组进行状态抽样,生成常规机组的全年可用容量序列,进一步计算系统电力不足期望;然后在此基础上,以光伏接入前后系统的可靠性保持不变为目标,采用模拟退火粒子群算法求解并网光伏置信容量;最后,通过对IEEE-RTS79系统进行算例仿真,验证该评估方法的有效性.%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.