Power Flow Management With Q-Learning for a Grid Integrated Photovoltaic and Energy Storage System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU144928" target="_blank" >RIV/00216305:26220/22:PU144928 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/abstract/document/9750098" target="_blank" >https://ieeexplore.ieee.org/abstract/document/9750098</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/JESTPE.2022.3165173" target="_blank" >10.1109/JESTPE.2022.3165173</a>
Alternative languages
Result language
angličtina
Original language name
Power Flow Management With Q-Learning for a Grid Integrated Photovoltaic and Energy Storage System
Original language description
This article develops a fuzzy Q-learning (FQL) approach-based power flow management algorithm for a single-phase grid-connected (GC) photovoltaic (PV) system with an energy storage unit (ESU). The FQL coordinates the PV power generation, which is based on the mission profile, the state of charge (SOC) of ESU, and the load profile such that a power balance is achieved in the network. Furthermore, the transition between standalone (SA) and GC modes during the power flow management is achieved using a proportional capacitor current feedback. While operating in the SA mode, the control action for the load voltage is achieved by an outer current loop. This combination of coordinated and transition control achieves power balance and smooth transition between the SA and GC modes. To verify the effectiveness of the proposed control strategy, a 4 - kWp PV system is operated along with an ESU in both SA and GC modes for a varying mission and load profile. The simulation and experimental results validated the multifunctional features of the proposed method.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Journal of Emerging and Selected Topics in Power Electronics
ISSN
2168-6777
e-ISSN
2168-6785
Volume of the periodical
10
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
5762-5772
UT code for WoS article
000864217700072
EID of the result in the Scopus database
2-s2.0-85127776501