Optimization of Unit Commitment Problem Using Genetic Algorithm

The main objective of the paper is to minimize use conventional generators and optimize fuel cost. To generators, solar thermal power plant (STPP) proposed in this paper. An approach for optimal location STPP also cost, firstly unit commitment (UC) applied generators. Then genetic algorithm (GA) used cost committed suggested method tested on an IEEE 14 bus test system 24 hr. schedule with variable load. effectiveness methodology illustrated three cases. Case 1 identify reduce generator. In 2, unit-commitment save considerable input order a 3.