Affiliation:
1. Madda Walabu University, Ethiopia
2. Punjabi University Patiala, India
Abstract
In this chapter, the artificial bee colony (ABC) algorithm was applied to optimize hybrids of wind and solar renewable energy system. The main objective of this research is to minimize the total annual cost of the system by determining appropriate numbers of wind turbine, solar panel, and batteries, so that the desired load can be economically and reliably satisfied based on the given constraints. ABC is a recently proposed meta heuristic algorithm which is inspired by the intelligent behavior of honey bees such as searching for food source and collection and processing of nectar. Instead of gradient and Hessian matrix information, ABC uses stochastic rules to escape local optima and find the global optimal solutions. The proposed methodology was applied to this hybrid system by the help of MATLAB code and the results were discussed. Additionally, it is shown that ABC can be efficiently solve the optimum sizing real-world problems with high convergence rate and reliability. The result was compared with the results of PSO.
Reference40 articles.
1. Optimum sizing of hybrid PV/wind/battery/diesel system consider-ing wind turbine parameters using Genetic Algorithm. Power and Energy (PECon;A. A.Al-Shamma;IEEE International Conference,2012
2. Developing a discrete harmony search algorithm for size optimization of wind–photovoltaic hybrid energy system
3. Optimised model for community-based hybrid energy system
4. Optimal sizing study of hybrid wind/PV/diesel power generation unit
5. A survey of bio inspired optimization algo-rithms.;S.Binitha;International Journal of Soft Comput-ing and Engineering,2012
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