| Title |
Assessment of Probabilistic Total Transfer Capability Considering Uncertainty of Weather |
| Authors |
박진욱(Park Jin-Wook) ; 김규호(Kim Kyu-Ho) ; 신동준(Shin Dong-Jun) ; 송경빈(Song Kyung-Bin) ; 김진오(Kim Jin-O) |
| Keywords |
총 송전용량 ; 가용 송전용량 ; 과도안정도 ; 확률론적 방법 ; 날씨효과 RPF ; MCS(Monte-Carlo Simulation) |
| Abstract |
This paper proposes a method to evaluate the Total Transfer Capability (TTC) by considering uncertainty of weather conditions. TTC is limited not only by the violation of system thermal and voltage limits, but also restricted by transient stability limit. Impact of the contingency on the power system performance could not be addressed in a deterministic way because of the random nature of the system equipment outage and the increase of outage probability according to the weather conditions. For these reasons, probabilistic approach is necessary to realize evaluation of the TTC. This method uses a sequential Monte Carlo simulation (MCS). In sequential simulation, the chronological behavior of the system is simulated by sampling sequence of the system operating states based on the probability distribution of the component state duration. Therefore, MCS is used to accomplish the probabilistic calculation of the TTC with consideration of the weather conditions. |