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

Aurobinda Bag; Bidyadhar Subudhi; Pravat Kumar Ray

doi:10.17775/CSEEJPES.2017.01000

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

Regular Papers | 更新时间：2025-12-29

- A combined reinforcement learning and sliding mode control scheme for grid integration of a PV system
- A combined reinforcement learning and sliding mode control scheme for grid integration of a PV system
- 中国电机工程学会电力与能源系统学报(英文) 2019年5卷第4期页码：498-506
- 作者机构：
  
  1. Department of Electrical Engineering, National Institute of Technology, Rourkela,769008
  2. School of Electrical Sciences, Indian Institute of Technology Goa, Ponda,403401
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2017.01000
  中图分类号：
- 纸质出版：2019
- 稿件说明：
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Aurobinda Bag, Bidyadhar Subudhi, Pravat Kumar Ray. A combined reinforcement learning and sliding mode control scheme for grid integration of a PV system[J]. 中国电机工程学会电力与能源系统学报(英文), 2019,5(4):498-506.

Aurobinda Bag, Bidyadhar Subudhi, Pravat Kumar Ray. A combined reinforcement learning and sliding mode control scheme for grid integration of a PV system[J]. CSEE Journal of Power and Energy Systems, 2019, 5(4): 498-506.
Aurobinda Bag, Bidyadhar Subudhi, Pravat Kumar Ray. A combined reinforcement learning and sliding mode control scheme for grid integration of a PV system[J]. 中国电机工程学会电力与能源系统学报(英文), 2019,5(4):498-506. DOI： 10.17775/CSEEJPES.2017.01000.

Aurobinda Bag, Bidyadhar Subudhi, Pravat Kumar Ray. A combined reinforcement learning and sliding mode control scheme for grid integration of a PV system[J]. CSEE Journal of Power and Energy Systems, 2019, 5(4): 498-506. DOI： 10.17775/CSEEJPES.2017.01000.

摘要

Abstract

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.

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