基于非序贯蒙特卡洛法的复杂大电网可靠性评估

Reliability Evaluation of Complex Large Power Grid Based on Non-sequential Monte Carlo Method

由于大电网规模庞大,传统的评估方法不能从时间角度和运行条件评估其可靠性,因此需要一种高效率、高精度的评估方法对大电网进行可靠性评估。对此,基于传统序贯蒙特卡洛法,提出了非序贯蒙特卡洛法,并结合重要抽样法,对大电网可靠性评估指标进行计算。该算法在满足精度要求的前提下,提高了序贯蒙特卡洛算法的计算效率。最后通过发输电评估系统IEEE-RST79验证该算法的可行性。

Due to the large scale of large power grids,traditional evaluation methods cannot evaluate the impact of reliability from a time perspective and operating conditions.A high-efficiency and high-precision evaluation method is needed to perform reliability evaluations of large power grids.In view of the above problems,a non-sequential Monte Carlo method based on the traditional sequential Monte Carlo method was proposed.The important sampling methods was combined to calculate the reliability assessment index of the large power grid.On the premise of meeting the accuracy requirements,the computational efficiency of the sequential Monte Carlo algorithm was improved.Finally,the transmission and transmission evaluation system IEEE-RST79 was used as an example to verify the feasibility of the algorithm.