Reduced Battery Usage in a Hybrid Battery and Photovoltaic Stand-Alone DC Microgrid with Flexible Power Point Tracking
| Autor: | Josep Pou, Hein Wai Yan, Hossein Dehghani Tafti, Aditi Narang, Glen G. Farivar |
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| Přispěvatelé: | School of Electrical and Electronic Engineering, 2020 IEEE Energy Conversion Congress and Exposition (ECCE) |
| Rok vydání: | 2020 |
| Předmět: |
Battery (electricity)
Electrical and electronic engineering::Electric power::Production transmission and distribution [Engineering] Computer science 05 social sciences Photovoltaic system DC Microgrid 020207 software engineering Total system power 02 engineering and technology Load profile Automotive engineering Energy storage Power (physics) Range (aeronautics) 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Microgrid Power Engineering Electrical and electronic engineering::Power electronics [Engineering] 050107 human factors |
| Zdroj: | 2020 IEEE Energy Conversion Congress and Exposition (ECCE). |
| DOI: | 10.1109/ecce44975.2020.9235615 |
| Popis: | A hybrid control strategy for photovoltaic (PV) system and energy storage system (ESS) in a dc microgrid is proposed in this paper. The proposed control strategy minimizes the utilization of ESS in order to prolong the battery lifetime, reduce the total system power losses, and maintain the state-of-charge (SoC) of the battery within a desired range as long as the required power from PV is available. In contrast to the conventional control strategies that regulate the dc bus voltage with the ESS, the proposed control strategy exploits the use of both PV and ESS in regulating the dc bus voltage. It also employs an advanced flexible power point tracking algorithm for the PV system to further enhance the dynamic performance of the system by adaptively adjusting the PV output power according to the load profile. Ministry of Education (MOE) Submitted/Accepted version This work was supported by the Singapore Ministry of Education Academic Research Fund Tier 1 under Grant No: 2019-T1-001-168 (RG 80/19). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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