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A Comprehensive Method for Optimum Sizing of Hybrid Energy Systems using Intelligence Evolutionary Algorithms


Affiliations
1 Young Researchers and Elite Club, Shiraz Branch, Islamic Azad University, Shiraz, Iran, Islamic Republic of
2 Young Researchers and Elite Club, Beyza Branch, Islamic Azad University, Beyza, Iran, Islamic Republic of
3 Islamic Azad University, Shiraz Branch, Shiraz, Iran, Islamic Republic of
 

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

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  • A Comprehensive Method for Optimum Sizing of Hybrid Energy Systems using Intelligence Evolutionary Algorithms

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Authors

Ahmad Rouhani
Young Researchers and Elite Club, Shiraz Branch, Islamic Azad University, Shiraz, Iran, Islamic Republic of
Hossein Kord
Young Researchers and Elite Club, Beyza Branch, Islamic Azad University, Beyza, Iran, Islamic Republic of
Mahdi Mehrabi
Islamic Azad University, Shiraz Branch, Shiraz, Iran, Islamic Republic of

Abstract


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

References





DOI: https://doi.org/10.17485/ijst%2F2013%2Fv6i6%2F33924