Hybrid solar gas reliability optimization using harmony search under performance and budget constraints

Abstract

During the last decade, Solar energy has been the fastest growing renewable source of energy worldwide. Limited sources of fossil fuel in addition to the negative effects of greenhouse emissions on the environment have led many countries to support development of renewable energies such as solar energy. However, solar power has a number of problems for implementation; the solar energies mainly depend upon sun availability and the changing climate. The focus on hybrid generation system increases the availability of power generation system by reducing the dependence on environment parameter. The purpose of this paper is concerned with the use of harmony search (HS) meta-heuristic optimization method to solve the problem of hybrid power system design optimization. We consider the case where redundant electrical components are chosen to achieve desirable level of reliability. To allow fast estimation, a universal moment generating function UMGF and harmony search HS are applied. An illustrative example is presented.

Multi-Objective Electrical Power System Design Optimization Using a Modified Bat Algorithm

“…Two different objective function formulations are considered. In the first example [56], the bi-objective formulation considered was the maximization of system availability and the minimization of system investment cost. The second example in [57] considers a multi-objective formulation that seeks the maximization of system availability, the minimization of system investment cost, and the maximization of the performance system.…”

The study of reducing the cost of investment in wind energy based on the cat swarm optimization with high reliability

“…The Figure 1 represented the production of electrical energy by wind. The exemple characterized by performance and cost [8][9][10]. We use the cat swarm meta-heuristicoptimization method to solve the wind power system problem.…”