Open AccessEvaluation of electrical load estimation in Diyala governorate (Baaquba city) based on fuzzy inference system
Author(s) -
Siraj Manhal Hameed,
Hayder Khaleel AL-Qaysi,
Ali Sachit Kaittan,
Mohammed Hasan Ali
Publication year - 2021
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v11i5.pp3757-3762
Subject(s) - computer science , fuzzy logic , estimation , fuzzy inference system , adaptive neuro fuzzy inference system , wind speed , automotive engineering , electrical load , electric power system , power (physics) , fuzzy control system , inference , reliability engineering , artificial intelligence , meteorology , engineering , physics , systems engineering , quantum mechanics
The evaluation of electrical load estimation is requisitely of any electrical power system. This manner is needed for system obligation, economical distribution and maintenance time of electrical system. In this paper, we propose electrical load estimation method based on fuzzy inference system which gives accurate results for estimated loads in Iraq (Diyala governorateBaaquba city). And it can assist the electrical generation and distribution system that depends on important parameters (temperature, humidity and the speed of the wind). By considering the parameters temperature, humidity and the speed of the wind. These parameters are applied as inputs to the fuzzy logic control system to obtain the normalize estimated load as output by electing membership functions. It is exceptionally valuable to form a choice by taking into consideration these assessed readings that come to from the proposed FIS that displayed in this paper with precision of 0.969 from the real stack request.