بایگانی برچسب برای: Evolutionary algorithm

A New Heuristic Algorithm for Unit Commitment Problem[taliem.ir]

A New Heuristic Algorithm for Unit Commitment Problem

Large scale power systems Unit Commitment (UC) is a complicated, hard limit, mixed integer combinatorial and nonlinear optimization problem with many constraints. This paper presents an innovative and effective solution based on modification of the Harmony Search (HS) Algorithm to solve the strategic planning of Generating unit's commitment. The proposed algorithm is easy in application compared to the other Evolutionary Methods (EM) and has a high capability in reaching to optimal solution with reasonable time. The proposed method is tested using the reported problem data sets. Simulations were down for daily unit commitment. The results are compared with previous reported articles results. Numerical results show the efficiency and improvement of the solution in cost and execution time compared to the results of the other powerful heuristic optimization algorithms.
Grey wolf optimization applied to economic load dispatch problems[taliem.ir]

Grey wolf optimization applied to economic load dispatch problems

This article presents a new evolutionary optimization approach named grey wolf optimization (GWO), which is based on the behaviour of grey wolves, for the optimal operating strategy of economic load dispatch (ELD). Nonlinear characteristics of generators like ramp rate limits, valve point discontinuities and prohibited operating zones are considered in the problem. GWO method does not require any information about the gradient of the objective function, while searching for an optimum solution. The GWO algorithm concept, appears to be a robust and reliable optimization algorithm is applied to the nonlinear ELD problems. The proposed algorithm is implemented and tested on four test systems having 10, 40, 80 and 140 units. The results confirm the potential and effectiveness of the proposed algorithm compared to various other methods available in the literature. The outcome is very encouraging and proves that the GWO is a very effective optimization technique for solving various ELD problems.