بهینه سازی اطمینان پذیری گاز خورشیدی هیبریدی با استفاده از بهینه سازی ازدحام گربه تحت محدودیت های هزینه و عملکرد Hybrid Solar Gas Reliability Optimization using Cat Swarm Optimization under Performance and Cost Constraints

INTRODUCTION (HEADING 1) Due to the increasing concern about the environment and the depletion of natural resources such as fossil fuels, much research is now focused on obtaining new environ-mentally friendly sources of power. To preserve our planet for the future generations, natural renewable sources are being closely studied and harvested for our energy needs. In recent years, concerns about fuel costs, environmental degradation and climate change have prompted consideration of alternative methods for electrical power generation [1]. It is argued that solar thermal technology offers an environmentally sensible alternative to the traditional clean coal” generation methods of recent past”. Over the past years the alternative energy sources have been taking over higher and higher share in energy production. Solar energy is environmentally friendly, inexhaustible, safe, and capable of supplying substantial amounts of power [2]. The reliability aspects of utilizing renewable energy sources have largely been ignored in the past due to relatively insignificant contribution of these sources in major power systems and consequently due to the lack of appropriate techniques [3]. A relatively high penetration of these energy sources can create significant impacts on cost and reliability. This paper describes the use of cat swarm optimization to solve the allocation problem involve the selection of the solar and gas units, transformers and lines for the appropriate levels of redundancy, the main aim is to maximize system reliability or minimize investment cost of series-parallel topology, given topology constraints (performance and cost). The reliable performance of the system for predefmed missions under various constraints is very important in many industrial applications. The system redundancy, addressed in this paper is a common representation for many system design problems. The allocation devices method of system reliability discussed here consists in selecting the optimal solution in the context of reliability optimization of electrical network analysis. Given the overall restrictions on the system performance g and cost Co, the problem is to determine which topology alternative to select with the specified level of electrical device reliability, and what’s kind of device to use in order to achieve the maximum system reliability. In this paper, the objective is to adapt a new meta- heuristic CSA which include a modem technique (Ushakov technique) to select and evaluate the best configurations with maximal reliability met the cost and performance levels constraints. CONCLUSION This paper describes how to implement the metaheuristic algorithm for finding the optimal series- parallel multi state power system configurations. The algorithm using heuristic information, selects, among a wide range of components available in the market, suitable versions and allocates them to structures in order to achieve maximum system reliability under cost and performance constraints. The efficiency of this algorithm depends on the parameters selection and the update method. A set of values of Cat swarm parameters have been tested. The efficiency of this algorithm depends on the parameters selection and the update method. A set of values of Cat swarm parameters have been tested. The parameters considered are those that affect directly the computation of the formulas used in the algorithm (SMP, SRD, C1 and MR). We tested several values for each parameter, all the others being constant. The values tested were: The values for these parameters that converge rapidly to optimal solutions were: SMP = 5, SRD = 0.2, C1=2.05 and MR = 0.7.