Application of a Fuzzy Self-tuning PI Controller in a Grid-Connected PV Generation System

2011 ◽  
pp. 823-834 ◽  
Author(s):  
Yao Zhi-qing ◽  
Zhang Qian ◽  
Liu Xi-mei
Keyword(s):  
Pi Controller ◽  
Generation System ◽  
Self Tuning ◽  
Pv Generation

scholarly journals Self-Tuning Two Degree-of-Freedom Proportional–Integral Control System Based on Reinforcement Learning for a Multiple-Input Multiple-Output Industrial Process That Suffers from Spatial Input Coupling

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 487
Author(s):  
Fumitake Fujii ◽  
Akinori Kaneishi ◽  
Takafumi Nii ◽  
Ryu’ichiro Maenishi ◽  
Soma Tanaka
Keyword(s):  
Control System ◽  
Reinforcement Learning ◽  
Pid Control ◽  
Multiple Input Multiple Output ◽  
Industrial Process ◽  
Pi Controller ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Self Tuning ◽  
Two Degree Of Freedom

Proportional–integral–derivative (PID) control remains the primary choice for industrial process control problems. However, owing to the increased complexity and precision requirement of current industrial processes, a conventional PID controller may provide only unsatisfactory performance, or the determination of PID gains may become quite difficult. To address these issues, studies have suggested the use of reinforcement learning in combination with PID control laws. The present study aims to extend this idea to the control of a multiple-input multiple-output (MIMO) process that suffers from both physical coupling between inputs and a long input/output lag. We specifically target a thin film production process as an example of such a MIMO process and propose a self-tuning two-degree-of-freedom PI controller for the film thickness control problem. Theoretically, the self-tuning functionality of the proposed control system is based on the actor-critic reinforcement learning algorithm. We also propose a method to compensate for the input coupling. Numerical simulations are conducted under several likely scenarios to demonstrate the enhanced control performance relative to that of a conventional static gain PI controller.

scholarly journals Design and simulation of a microgrid for TIH campus

2020 ◽  
Vol 19 (2) ◽  
pp. 729
Author(s):  
Zaid H. Ali ◽  
Ziyaad H. Saleh ◽  
Raid W. Daoud ◽  
Ahmed H. Ahmed
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Generation System ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
High Penetration ◽  
Technical Institution ◽  
Battery Energy ◽  
Pv Generation

<p><span>This paper proposes a methodology for designing and operating a microgrid (MG) for the main campus of the Technical Institution Hawija. In this MG, a battery energy storage system (BESS), photovoltaic (PV) generation system, and controllable loads are included. Due to the high penetration of the PVs, over-voltage issues may occur in this MG. A novel operation strategy is considered by coordinating the BESS, PVs, and loads to prevent power outages and accomplish a secure operation of this MG. In this proposed approach, droop controllers have been implemented to provide the appropriate references for the PVs and BESS to maintain the voltage of the MG within a secure range. The generation of the PVs may be curtailed to guarantee the fidelity of the voltage. The intended simulations will be based on MATLAB/Simulink to show the efficacy of the intended design.</span></p><script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0/MathJax.js?config=TeX-AMS-MML_HTMLorMML&amp;delayStartupUntil=configured"></script><script id="texAllTheThingsPageScript" type="text/javascript" src="chrome-extension://cbimabofgmfdkicghcadidpemeenbffn/js/pageScript.js"></script>

Design of an Optimum Solar PV Generation System for Integrated loads using PVSYST Software

2021 ◽  
Author(s):  
Md. Mahadi Hasan ◽  
Md Naimur Rahman ◽  
Md. Hossen Ali ◽  
Husain Mia ◽  
Md. Fayyaz Khan
Keyword(s):  
Solar Pv ◽  
Generation System ◽  
Pv Generation
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