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Detail
Journal Article
LVDC 마이크로그리드 환경에서 효율적인 ESS 충방전 운영 알고리즘 연구
- Issue Date
- 2024-06
- Citation
- 전기학회논문지, v.73, no.6, pp.1063-1073
- ISSN
- 1975-8359
- Publisher
- 대한전기학회
- Language
- Korean
- Type
- Journal Article
- Abstract
- Modern power systems are developing in a sustainable and energy-efficient direction, and research on intelligent power grids that accommodate new and renewable energy is being actively conducted. Since new and renewable energy-based distributed power generation systems and ESS are output as DC power, the DC microgrid reduces the power conversion step and improves the stability and efficienc of the power distribution network. The core of this study is to compare and analyze the performance of the three charge/discharge operation algorithms based on AI prediction in the LVDC microgrid environment. The AI server learns real-time data through interworking with the EMS to predict future load usage and solar power generation, and performs the charge/discharge operation algorithm of ESS based on the collected ESS state data. This paper presents the configuration of the LVDC microgrid testbed, the integration method between EMS and electrical facilities, and analyzes the performance of the developed ESS charge/discharge operation algorithm. It also evaluates the effectiveness of each operation algorithm through actual operation data and simulation, analyzes how these strategies contribute to system load reduction and energy efficiency improvement, and provides guidelines for selecting the optimal ESS charge/discharge operation algorithm under specific conditions.
- KSP Keywords
- DC Microgrid, Dc power, Discharge operation, Distributed Power Generation, Distribution network(DN), Energy based, Integration methods, Load reduction, Microgrid testbed, Modern power systems, New and renewable energy
This work is distributed under the term of Creative Commons License (CCL)
(CC BY NC)
(CC BY NC)
