NDLI: Optimal integral minus proportional derivative controller design by evolutionary algorithm for thermal-renewable energy-hybrid power systems

Content Provider	IET Digital Library
Author	Kler, Dhruv Kumar, Vineet Rana, Kanwar P. S.
Abstract	The goal of this work is to investigate the application of integral minus proportional derivative (IPD) controller for the automatic generation control (AGC) problem comprising of a two-area thermal system integrated with renewable energy (RE)-based sources such as wind, solar and fuel cells. In order to facilitate a realistic environment, each thermal system is equipped with a governor dead band, reheat turbine and generation rate constraint. Moreover, each RE-based power system is modelled by incorporating certain drift and random variations as the key characteristic of RE-based sources. The control performance of IPD is compared with the PID and PI controllers all tuned using an evolutionary technique genetic algorithm by incorporating a step load perturbation in both areas. In order to verify the effectiveness of the control scheme, detailed performance investigations are carried out using random variations in load perturbations and in RE-based power. In addition, sensitivity analysis is also included for wider variations in system parameters in order to test robustness. Based on the extensive simulations for robustness and accuracy, it was observed that IPD outperforms the other controllers and therefore serves as a promising solution to the problem of AGC.
Starting Page	2000
Ending Page	2012
Page Count	13
ISSN	17521416
Volume Number	13
e-ISSN	17521424
Issue Number	Issue 11, Aug (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/13/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2018.5745
Journal	IET Renewable Power Generation
Publisher Date	2019-05-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	AGC Problem Automatic Generation Control Problem Control of Electric Power System Control Performance Control Scheme Detailed Performance Investigations Evolutionary Algorithm Evolutionary Computation Evolutionary Technique Genetic Algorithm Frequency Control Generation Rate Constraint Governor Dead Band Hybrid Power System IPD Controller Load Regulation Optimal Integral Minus Proportional Derivative Controller Design Optimisation Technique PI Control Power Generation Control Power System Power System Control Random Variations RE-based Power RE-based Source Reheat Turbine Renewable Energy-based Source Sensitivity Analysis Solar Fuel Cell Step Load Perturbation System Parameter Thermal Power Stations Thermal Power Stations And Plant Thermal-renewable Energy-hybrid Power System Two-area Thermal System
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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