A combined reinforcement learning and sliding mode control scheme for grid integration of a PV System

The paper presents development of a reinforcement learning (RL) and sliding mode control (SMC) algorithm for a 3-phase PV system integrated to a grid. The PV system is integrated to grid through a voltage source inverter (VSI), in which PV-VSI combination supplies active power and compensates reacti...

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Bibliographic Details
Published inCSEE Journal of Power and Energy Systems Vol. 5; no. 4; pp. 498 - 506
Main Authors Bag, Aurobinda, Subudhi, Bidyadhar, Ray, Pravat Kumar
Format Journal Article
LanguageEnglish
Published Beijing Chinese Society for Electrical Engineering Journal of Power and Energy Systems 01.12.2019
China electric power research institute
Subjects
Active control
Algorithms
Computer simulation
Fuzzy control
Fuzzy logic
Incremental conductance
instantaneous power theory
Integrated circuits
Inverters
Machine learning
Maximum power tracking
Photovoltaic cells
Power control
Reactive power
reinforcement learning
Sliding mode control
sliding mode controller
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Summary:The paper presents development of a reinforcement learning (RL) and sliding mode control (SMC) algorithm for a 3-phase PV system integrated to a grid. The PV system is integrated to grid through a voltage source inverter (VSI), in which PV-VSI combination supplies active power and compensates reactive power of the local non-linear load connected to the point of common coupling (PCC). For extraction of maximum power from the PV panel, we develop a RL based maximum power point tracking (MPPT) algorithm. The instantaneous power theory (IPT) is adopted for generation reference inverter current (RIC). An SMC algorithm has been developed for injecting current to the local non-linear load at a reference value. The RL-SMC scheme is implemented in both simulation using MATLAB/SIMULINK software and on a prototype PV experimental. The performance of the proposed RL-SMC scheme is compared with that of fuzzy logic-sliding mode control (FL-SMC) and incremental conductance-sliding mode control (IC-SMC) algorithms. From the obtained results, it is observed that the proposed RL-SMC scheme provides better maximum power extraction and active power control than the FL-SMC and IC-SMC schemes.
ISSN:2096-0042
2096-0042
DOI:10.17775/CSEEJPES.2017.01000