Authors : Hussein Sultan Radhi, Abdullah Th. Abdalsatir and Sabah Anwer Abdul-Kareem
Abstract: The daily electrical load estimation is an essential mission of any power system. This procedure is necessary for system obligation, economical distribution of generation and maintenance time of electrical networks. In this study, we propose an electrical load estimation method using fuzzy inference system that gives more accurate results for the estimated loads. Also, it can serve the electrical power system generation that depend on some important parameters. These electrical loads parameters including temperature, humidity and speed of the wind are applied as inputs to the fuzzy logic system to obtain eventually the estimated load as output by utilizing suitable membership functions.
Hussein Sultan Radhi, Abdullah Th. Abdalsatir and Sabah Anwer Abdul-Kareem, 2018. Electrical Load Estimation Based on Fuzzy Logic. Journal of Engineering and Applied Sciences, 13: 9078-9087.