Solving Unit Commitment Problem Based on New Stochastic Search Algorithm

摘要

Unit commitment problem is one of the large scale nonlinear hybrid integer programming problems which is considered in this paper. Thus, a new stochastic search algorithm has been implemented for solving the mentioned problem. For this purpose, Modified Invasive Weed Optimization (MIWO) has been proposed which is a bio-inspired numerical technique and inspired from weed colonization and motivated by a common phenomenon in agriculture that is colonization of invasive weeds. The proposed algorithm is tested on the power systems in the range of 10-140 generating units for a 24-hours scheduling period and compared to Quantum inspired Evolutionary Algorithm (QEA), Improved Binary Particle Swarm Optimization (IBPSO) and Mixed Integer Programming (MIP).