Indian Journal of Science and Technology

The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


Exhibition a comprehensive method for optimum sizing of hybrid energy systems using intelligence evolutionary algorithms is performed in this paper. The aim of the method is to find the optimum sizes of the hybrid energy systems among the numerous configurations to reach the expected reliability and the lowest LCE. In this respect, the mathematical model of each component is represented and the components are simulated by means of a comprehensive energy management strategy. Ability to comprise reliability constraints is another outstanding trait of this model. After formulation of the cost function consists of investment and operation cost of proposed hybrid system including reliability constraints, GA and PSO are applied to optimize the cost function. This model can be implemented to such hybrid energy systems with other configurations too. Proficiency of the presented model is shown by means of the results of the simulations implemented via actual weather details from Shiraz weather data.

Keywords

Evolutionary Algorithms, Hybrid Energy System, Optimization, Power Management, Reliability
User