In this paper, the authors present an approach combining the feedforward neural network and the simulated annealing method to solve unit commitment, a mixed integer combinatorial optimisation problem in power system. The artificial neural network (ANN) is used to determine the discrete variables corresponding to the state of each unit at each time interval. The simulated annealing method is use...

Unit Commitment is large scale short-term optimization problem, in which main objective is to schedule generation to minimize the total fuel cost, subjected to large number of constraints that must be satisfied. In this paper unit commitment problem is solved by using a new evolutionary algorithm known as imperialistic algorithm. In ICA the initial populations individuals (countries) are the co...

The Unit Commitment problem (UC) is a complex mixed-integer nonlinear programming problem, so the main challenge faced by many researchers obtaining optimal solution. Therefore, this dissertation proposes new methodology combining multi-dimensional firefly algorithm with local search called LS-MFA and utilizes it to solve UC problem. In addition, adaptive adjustment, tolerance mechanism, pit-ju...

Unit commitment (UC) stands out as a significant challenge in electrical power systems. With the rapid growth demand and pressing issues of fossil fuel scarcity global warming, it has become crucial to enhance utilization renewable energy sources. This study focuses on addressing UC problem by incorporating wind farm proposes modified version metaheuristic African vultures optimization algorith...