DIANQI YU NENGXIAO GUANLI JISHU ›› 2020, Vol. 590 ›› Issue (5): 28-34.doi: 10.16628/j.cnki.2095-8188.2020.05.005

• Research & Analysis • Previous Articles     Next Articles

Reliability Evaluation of Wind-Storage Power Generation Systems Based on Monte Carlo Simulation

YUAN Mingfei, ZHAO Fengzhan, WANG Shutian, TANG Yunfeng, SU Juan, HAO Shuai   

  1. College of Information and Electrical Engineering,China Agricultural University, Beijing 100083, China
  • Received:2020-01-10 Online:2020-05-30 Published:2020-05-29

Abstract: Based on the reliability evaluation of power generation system with wind storage system,the random characteristics of wind farm output and energy storage system output was studied.The wind turbine power timing model and the wind farm-energy storage system reliability assessment model were established.According to the autoregressive moving average model of wind speed prediction,the output power of wind turbine was obtained.Then based on the state model of conventional unit,the reliability model of wind storage power generation system based on sequential Monte Carlo simulation was established.The contribution coefficient of wind power and energy storage to the expected value of power supply interruption and the reliability impact of the energy storage system accessing to the wind farm power generation system.Finally,the IEEE-RBTS improved system was evaluated by the proposed model and algorithm.The influence of wind farm on power supply reliability evaluation of power generation system was briefly discussed.The results of the example show that the wind farm and energy storage system connected to the power generation system can effectively improve the power supply reliability of the power generation system.

Key words: sequential Monte Carlo method, reliability, grid-connected wind farms, energy storage

CLC Number: