No abstract

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.

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.

This paper presents a Cat Swarm Optimization (CSO) Algorithm optimization method to shunt capacitor placement on distribution systems under capacitor switching constraints. The optimum capacitor allocation solution is found for the system of feeders fed through their transformer and not for any individual feeder. The main advantages due to capacitor installation, such as capacity release and reduction of overall power and energy losses are considered. The capacitor allocation constraints due to capacitor-switching transients are taken into account. These constraints are extremely important if pole-mounted capacitors are used together with station capacitor bank. Cat Swarm search algorithm is used as an optimization tool. An illustrative example for Algerian example is presented.

This paper addresses a Gravitational Search metaheureustic optimization method to solve a preventive maintenance (PM) problem for hybrid solar gas power system. In this work, we consider the situation where system and its components have several ranges of performance levels. Such systems are called multi-state systems (MSS). To enhance system availability or (reliability), possible schedule preventive maintenance actions are performed to equipment's and affect strongly the effective age. The objective is to develop an algorithm to generate an optimal sequence of maintenance actions providing system working with the desired level of availability or reliability during its lifetime with minimal maintenance cost rate. To evaluate the multi-state system availability, a fast method on the universal moment generating function (UMGF) is suggested. The Gravitational search approach as an optimization technique and adapted to this PM optimization problem.