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

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 opt--mizationwith simulated annealing CSA-PSO） which firstly adopts time sequenceMonte Carlomethod for state sampling for conventional units so as to generate annual available capacity sequences of units and then calculate（LOLE） of system. On this basis , taking invariant reliability of photovoltaic before and after accessing to the system as thetarget , 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.