| Title |
A Study on Frequency Control Parameter Optimization of HVDC Interconnection on the Korean Power System Using Artificial Neural Networks |
| Authors |
박준수(Jun-Su Park) ; 라마드한(Umar Fitra Ramadhan) ; 이재형(Jae-Hyeong Lee) ; 황성철(Sung-Chul Hwang) ; 윤민한(Min-Han Yoon) |
| DOI |
https://doi.org/10.5370/KIEE.2023.72.1.16 |
| Keywords |
VSC HVDC; Frequency Control; ANN |
| Abstract |
Korean Power Systems are increasing their share of renewable energy as the worldwide ratio rises. The inertia of the power system is decreasing as the share of renewable energy sources rises. The system's low inertia may be contributing to issues with frequency stability, as indicated by a significant power imbalance. High Voltage Direct Current (HVDC) systems have been employed as a successful solution for flexible resources to address several issues brought on by the integration of renewable energy into the power system. The European Super Grid initiatives intend to include energy interconnections with HVDC systems used for energy transaction and frequency control, which would result in the construction of a power network connecting European countries to one another and to other regions. Similar to that, this paper has investigated how the use of frequency auxiliary control in the Korean Power System can help a China-Korea Voltage Source Converter (VSC) HVDC link increase the proportion of renewable energy sources and frequency stability. The impact of different frequency management systems, such as Emergency Power Control (EPC), Fast Frequency Response (FFR), and Limited Frequency Sensitive Mode (LFSM), on the frequency stability of the Korean power system was compared. Additionally, a study was carried out to optimize the frequency auxiliary controller's parameters based on ANN, and its effectiveness was tested by using it to control with different parameter settings. |