Reliability Optimization of Wind Farm Power Systems Using Bat Algorithm with Generalized Flight

Abstract

In this paper, two metaheuristics, namely the Bat algorithm (BAT) and a recent hybridization of bat algorithm with generalized walk evolutionary algorithm are presented. The bat algorithm and the Bat algorithm with generalized flight (BAG) are used to solve the problem of optimal redundancy design of series-parallel electrical systems. In order to assess the reliability of the heterogeneous system of multi-state series-parallel, the Ushakov method a universal moment generating function (UMGF) is used to allow fast estimation. The design objective is to maximize the reliability of the bulk power generation system from wind farm. The components of each electrical subsystem are characterized by their performance (capacity), cost and reliability. Reliability is defined as the ability to satisfy consumer demand that is given by a cumulative load curve. By comparing three algorithms cited in this study, the results show that the hybridization of Bat and Generalized Evolutionary Walk Algorithm (BAG) are effective in solving the reliability redundancy optimization problem (RROP). Two illustrative examples are presented.

Optimal Multi-Level Redundancy Allocation Using a New Modified Bat Algorithm

“…Asharafi and Hassan used to optimize the reliability of a complex system [27]. Guerraiche et al proposed a hybrid algorithm based on BAT algorithm and Generalized Evolutionary Walk to Reliability Optimization of Wind Farm Power Systems [28].…”