| Title |
Probabilistic Security Analysis based on Renewable Energy Scenario Modeling |
| Authors |
김경민(Gyeong-Min Kim) ; 정솔영(Sol-Young Jung) ; 오승찬(Seung-Chan Oh) ; 이재걸(Jae-Gul Lee) ; 신훈영(Hun-Young Shin) ; 허진(Jin Hur) |
| DOI |
https://doi.org/10.5370/KIEE.2021.70.8.1075 |
| Keywords |
Probabilistic security analysis; Renewable energy scenario modeling; Monte Carlo Simulation; Augmented power flow calculation; AC Contingency Solution |
| Abstract |
As the proportion of large-scale variable power generation increases, it is necessary to secure the grid reliability and flexibility of the power system. In addition, it is necessary to analyze the probabilistic security analysis considering the output variability of renewable energy. In this paper, scenarios reflecting the characteristics of renewable energy were created through the renewable energy output scenario modeling based on Monte Carlo Simulation. The scenario is used as input data for calculation of steady state and AC contingency solution assumed power flow, and probabilistic security analysis of branch flow and bus voltage was performed on the practical power system. The proposed algorithm can be used for decision making to establish a stable power system operation and plan according to the large-scale variability power system connection by analyzing the weak branches and buses according to the fluctuations in the output of renewable energy. |