TY - JOUR ID - 829 TI - Operation Planning of Wind Farms with Pumped Storage Plants Based on Interval Type-2 Fuzzy Modeling of Uncertainties JO - Journal of Operation and Automation in Power Engineering JA - JOAPE LA - en SN - 2322-4576 AU - Siahkali, H. AD - Engineering Faculty, Islamic Azad University-South Tehran Branch, Ahang Ave., Tehran, Iran. Y1 - 2020 PY - 2020 VL - 8 IS - 3 SP - 182 EP - 194 KW - Pumped storage plant KW - Type-2 fuzzy sets KW - Unit commitment KW - Wind power uncertainty DO - 10.22098/joape.2019.5877.1439 N2 - The operation planning problem encounters several uncertainties in terms of the power system’s parameters such as load, operating reserve and wind power generation. The modeling of those uncertainties is an important issue in power system operation. The system operators can implement different approaches to manage these uncertainties such as stochastic and fuzzy methods. In this paper, new fuzzy based modeling approach is implemented to develop the new formulation of power system problems under an uncertain environment with energy storage systems. Interval type-2 fuzzy membership function (MF) is implemented to model the uncertainty of available wind power generation and the type-1 fuzzy MF is used to model the other parameters in weekly unit commitment (UC) problem. The proposed approach is applied to two different test systems which have conventional generating units, wind farms and pumped storage plants to consider differences between the type-1 and type-2 fuzzy approaches for uncertainty modeling. The results show that the total profit of UC problem using type-2 fuzzy MF is better than type-1 fuzzy MF. UR - https://joape.uma.ac.ir/article_829.html L1 - https://joape.uma.ac.ir/article_829_d0767d5859a131a13a3349372dfa4335.pdf ER -