Power Flow Management With Q-Learning for a Grid Integrated Photovoltaic and Energy Storage System
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Power Flow Management With Q-Learning for a Grid Integrated Photovoltaic and Energy Storage System
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Power Flow Management With Q-Learning for a Grid Integrated Photovoltaic and Energy Storage System
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
IEEE Journal of Emerging and Selected Topics in Power Electronics
ISSN
2168-6777
e-ISSN
2168-6785
Svazek periodika
10
Číslo periodika v rámci svazku
5
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
11
Strana od-do
5762-5772
Kód UT WoS článku
000864217700072
EID výsledku v databázi Scopus
2-s2.0-85127776501