Estimation of restoration duration for reliability-based self-healing service by wind power plant

Due to the intermittent nature of wind, it is necessary to estimate the duration of wind generation for rapid restoration of power systems during the self-healing service process. Because of this, designing a mathematical model for short-term estimation of wind power delivery to variable loads based on reliability is essential to check the adequacy of electricity supply. The validity of the proposed novel hierarchical algorithmic solution is verified by experimental studies on the particular case of 66 MW Manjil wind farm in Iran. More specifically, this algorithm is designed based on Weibull distribution program in order to facilitate managing and analyzing big data sets of wind speeds, wind power generation, and power consumption. The ability to respond to the requested electrical energy, i.e. 1 MW-50 MW, was also determined online from the instantaneous wind and load inputs, and restoration was achieved for the quantitative ranges of 1 MW to 20 MW by local energy potential. Demonstrated results indicate that by applying the proposed solution approach, we will be able to restore variable responsive loads with accuracy reliability and wind power supply as well as an appropriate lifetime in the self-healing service for independent sections.