| Title |
A Study on Generator Maintenance Scheduling Considering Renewable Energy Generators |
| Authors |
이연찬(Yeonchan Lee) ; 오웅진(Ungjin Oh) ; 최재석(Jaeseok Choi) ; 정명훈(Myeunghoon Jung) |
| DOI |
http://doi.org/10.5370/KIEE.2018.67.5.601 |
| Keywords |
Generator maintenance scheduling ; Probabilistic production cost ; Probabilistic reliability evaluation ; Renewable energy generator ; Genetic algorithm |
| Abstract |
The purpose of this paper is to establish a new optimum Generator Maintenance Scheduling(GMS) considering renewable energy generator. In this paper, the total renewable energy generation is estimated using hourly capacity factor of renewable energy generator. The GMS was optimized with the objective function of maximizing the minimum reserve rate, minimizing the probabilistic production cost, minimizing the loss of load expectation, and minimizing CO2 emissions. In the case study of this paper, GMS considering renewable energy and GMS not considering renewable energy are shown by each objective function. And it shows scenarios of the reliability, the environmental and economical factors when two nuclear power plants inputted and ten coal thermal power plants shut downed respectively. |