| Title |
Optimal Sizing Method of Distributed Energy Resources for a Stand-alone Microgrid by using Reliability-based Genetic Algorithm |
| Authors |
백자현(Baek, Ja-Hyun) ; 한수경(Han, Soo-Kyung) ; 김대식(Kim, Dae-Sik) ; 한동화(Han, Dong-Hwa) ; 이한상(Lee, Hansang) ; 조수환(Cho, Soo-Hwan) |
| DOI |
https://doi.org/10.5370/KIEE.2017.66.5.757 |
| Keywords |
Stand-alone microgrid ; Genetic algorithm ; Optimal sizing ; Distributed energy resources |
| Abstract |
As the reduction of greenhouse gases(GHGs) emission has become a global issue, the microgrid markets are growing rapidly. With the sudden changes in the market, Korean government suggested a new business model called 'Self-Sufficient Energy Islands'. Its main concern is a stand-alone microgrid composed of Distributed Energy Resources(DERs) such as Renewable Energy Sources(RESs), Energy Storage System(ESS) and Fuel Cell, in order to minimize the emission of GHGs. According to these trend, this paper is written to propose an optimal sizing method of DERs in a stand-alone microgrid by using Genetic Algorithm(GA), one of the representative stochastic methods. It is to minimize the net present cost with the variables, size of RESs and ESS. In the process for optimization, the sunless days are considered as additional constraints. Through the case study analysis, the size of DERs installed in a microgrid system has been computed using the proposed method in MATLAB. And the result of MATLAB is compared with that of HOMER(Hybrid Optimization of Multiple Energy Resources), a well-known energy modeling software. |