Hybrid solar gas reliability optimization using cat swarm optimization under performance and cost constraints

Global warming and resource depletion are really affecting us in a lot of ways Solar radiation is a promising source of renewable energy because it is abundant and the technologies to harvest it are quickly improving. 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 cat swarm (CS) 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 cat swarm CS are applied. An illustrative example is presented.