2024 : 5 : 19
Mahyar Abasi

Mahyar Abasi

Academic rank: Assistant Professor
ORCID: https://orcid.org/0000-0001-5228-6803
Education: PhD.
ScopusId: AAM-8891-2020
Faculty: Engineering
Address: Arak University
Phone: 08632625099


A novel metaheuristic approach to solve unit commitment problem in the presence of wind farms
Metaheuristic, Unit commitment, Wind farm, Power system planning.
Journal Revue Roumaine des Sciences Techniques, Série Électrotechnique et Énergétique
Researchers Mahyar Abasi ، Maryam Falah Nezhadnaeini ، Mohammad Karimi ، Nasser Yousefi


This paper solves unit commitment (UC) problem by a novel evolutionary algorithm based on tendency of a society to improve and promote quality of life in the presence thermal and wind units. The traditional objective function of UC problem has been modified by considering related parameters of wind farm. Main challenges in this stage are wind farm modeling and wind speed forecast which have been performed by reliable techniques. The aerology data of Tabriz metropolis in north west of Iran in 10 past years has been employed to obtain output power of wind farm. Simulations have been performed in 10, 20, 40 and 60-unit test system and results of the proposed technique compared with two other approaches. Other highlight of our work is presenting five novel indices to analyze the obtained results of simulations