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Cost-based Optimal Design and Scheduling Operation of Hybrid Energy Stations in South Korea Using Battery Energy Storage Systems
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Publication Year
2024-01-01
Journal
2024 11th International Conference on Power and Energy Systems Engineering, CPESE 2024
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2024 11th International Conference on Power and Energy Systems Engineering, CPESE 2024, pp.242-246
Keyword
BESS operationchar-discharging scheduling algorithmcost optimizationHybrid energy stationoptimal sizing design
Mesh Keyword
Battery energy storage system operationBattery energy storage systemsChar-discharging scheduling algorithmCosts OptimizationEnergy stationsHybrid energyHybrid energy stationOptimal sizingOptimal sizing designSystems operation
All Science Classification Codes (ASJC)
Energy Engineering and Power TechnologyRenewable Energy, Sustainability and the EnvironmentElectrical and Electronic EngineeringSafety, Risk, Reliability and QualityControl and Optimization
Abstract
The recent rapid increase in electric vehicles (EVs) and EV charging stations has led to the emergence of hybrid energy stations (ESs) that combine photovoltaic systems (PV) and battery energy storage systems (BESSs) to produce power with optimized efficiency. Various types of ESs with different operational methods are being studied. This paper proposes an optimal sizing design and operation method for an ES, from the perspective of BESS operational modes, for cost optimization. The proposed algorithm divides the BESS modes into charging, discharging, and idle states based on the price differentials of peak times, system marginal price (SMP), and EV time of use (TOU), as well as the trend of EV arrivals. Using this algorithm, the optimal sizes of PV and BESS are determined, and the operation of BESS is analyzed. We hope that this paper will be helpful in cost optimization study of hybrid ESs.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/38152
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85217813643&origin=inward
DOI
https://doi.org/10.1109/cpese62584.2024.10841298
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=10840338
Type
Conference Paper
Funding
This work is financially supported by Korea Ministry of Environment(MOE) as ? Graduate School specialized in Climate Change. This study was supported by the International Energy Joint R&D Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea. (No. 20228530050030).
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Jung, Jaesung  Image
Jung, Jaesung 정재성
Department of Electrical and Computer Engineering
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