| Title |
Optimal Design Study of Stand-alone Hybrid Energy System Using TLBO-CS Algorithm |
| Authors |
Jae-Hoon Cho ; Won-Pyo Hong |
| DOI |
http://dx.doi.org/10.5207/JIEIE.2018.32.5.018 |
| Keywords |
Hybrid PV-WT-DG-battery Energy System ; Optimal Sizing ; Teaching Learning based Optimization Algorithm(TLBO) ; Loss of Power Supply Probability (LPSP) ; Annualized Cost of System(ACS) ; Genetic Algorithms(GA) ; Particle Swarm Optimization(PSO) |
| Abstract |
In this paper, a new design optimal economical sizing of a Hybrid PV/WT/Diesel/Battery energy system is presented in order to assist the designers to take into consideration both the economical and ecological aspects. The reliability and cost of a hybrid system are two main criteria for designing a stand-alone hybrid system. The aim of this design is minimization of total annual cost(TAC) considered loss power supply probability and annual fuel cost of diesel generation system. A hybrid Teaching-Learning-Based Optimization algorithm is used for choosing the optimal number and type of units and the Total Annual Cost and Loss of Power Supply Probability are taken as the multi-objective functions of the proposed optimization algorithm. The effectiveness of the proposed method is verified using Matlab software and the simulation results confirm that the proposed method is more efficient than conventional methods and a feasible solution for stand-alone applications at the remote location. |