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A Study on the Optimal Methodology for Power System Development Plan to Expand Renewable Energy in South Korea.
- Source :
- International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Plants; 2019, p3-6, 6p
- Publication Year :
- 2019
-
Abstract
- With the establishment of the Paris Climate Treaty in 2015, South Korea has set its ambitious goal of 'Reduce emissions by 37% compared to 2030 Greenhouse Gas Emissions Outlook (BAU)' as of June 2015. As a measure to reduce carbon, countries are increasing the ratio of renewable energy sources in each country. South Korea also aims to increase the proportion of renewable energy sources to 53GW by 2030. In this paper, we will study the methodology for the power system development plan of the future power system which consists of various scenarios such as the amount of renewable energy and the installation of new transmission line. First, we describe the construction process of database w.r.t the ratio of renewable energy and load level. In order to increase the stability of future power system in South Korea, we have come up with various scenarios for a combination of transmission line, VSC-HVDC and FACTS. Then, the comprehensive tests based on static and dynamic analysis are processed using the proposed simulator based on PSS/E Python. Through the above process, the optimum future system reinforcement plan is calculated. The automatic simulator with various function of DB creation, simulation and decision based on PSS/E Python have been developed to validate the proposed methodology and tested using the large-scale future power system. [ABSTRACT FROM AUTHOR]
- Subjects :
- ELECTRIC power
RENEWABLE energy sources
GREENHOUSE gas mitigation
ELECTRIC lines
Subjects
Details
- Language :
- English
- Database :
- Complementary Index
- Journal :
- International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Plants
- Publication Type :
- Conference
- Accession number :
- 141874528