Impact of Renewable Energy Sources into Multi Area Multi-Source Load Frequency Control of Interrelated Power System

There is an increasing concentration in the influences of nonconventional power sources on power system process and management, as the application of these sources upsurges worldwide. Renewable energy technologies are one of the best technologies for generating electrical power with zero fuel cost,...

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Main Authors: Krishan Arora, Ashok Kumar, Vikram Kumar Kamboj, Deepak Prashar, Bhanu Shrestha, Gyanendra Prasad Joshi
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/2/186
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author Krishan Arora
Ashok Kumar
Vikram Kumar Kamboj
Deepak Prashar
Bhanu Shrestha
Gyanendra Prasad Joshi
author_facet Krishan Arora
Ashok Kumar
Vikram Kumar Kamboj
Deepak Prashar
Bhanu Shrestha
Gyanendra Prasad Joshi
author_sort Krishan Arora
collection DOAJ
description There is an increasing concentration in the influences of nonconventional power sources on power system process and management, as the application of these sources upsurges worldwide. Renewable energy technologies are one of the best technologies for generating electrical power with zero fuel cost, a clean environment, and are available almost throughout the year. Some of the widespread renewable energy sources are tidal energy, geothermal energy, wind energy, and solar energy. Among many renewable energy sources, wind and solar energy sources are more popular because they are easy to install and operate. Due to their high flexibility, wind and solar power generation units are easily integrated with conventional power generation systems. Traditional generating units primarily use synchronous generators that enable them to ensure the process during significant transient errors. If massive wind generation is faltered due to error, it may harm the power system’s operation and lead to the load frequency control issue. This work proposes binary moth flame optimizer (MFO) variants to mitigate the frequency constraint issue. Two different binary variants are implemented for improving the performance of MFO for discrete optimization problems. The proposed model was evaluated and compared with existing algorithms in terms of standard testing benchmarks and showed improved results in terms of average and standard deviation.
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spelling doaj.art-ea2631f259974ea7b8b8ce386fa9bb912023-12-03T13:41:04ZengMDPI AGMathematics2227-73902021-01-019218610.3390/math9020186Impact of Renewable Energy Sources into Multi Area Multi-Source Load Frequency Control of Interrelated Power SystemKrishan Arora0Ashok Kumar1Vikram Kumar Kamboj2Deepak Prashar3Bhanu Shrestha4Gyanendra Prasad Joshi5School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab 144411, IndiaDepartment of Electrical Engineering, Maharishi Markandeshwar University Mullana, Haryana 133207, IndiaSchool of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab 144411, IndiaSchool of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab 144411, IndiaDepartment of Electronic Engineering, Kwangwoon University, Seoul 01897, KoreaDepartment of Computer Science and Engineering, Sejong University, Seoul 05006, KoreaThere is an increasing concentration in the influences of nonconventional power sources on power system process and management, as the application of these sources upsurges worldwide. Renewable energy technologies are one of the best technologies for generating electrical power with zero fuel cost, a clean environment, and are available almost throughout the year. Some of the widespread renewable energy sources are tidal energy, geothermal energy, wind energy, and solar energy. Among many renewable energy sources, wind and solar energy sources are more popular because they are easy to install and operate. Due to their high flexibility, wind and solar power generation units are easily integrated with conventional power generation systems. Traditional generating units primarily use synchronous generators that enable them to ensure the process during significant transient errors. If massive wind generation is faltered due to error, it may harm the power system’s operation and lead to the load frequency control issue. This work proposes binary moth flame optimizer (MFO) variants to mitigate the frequency constraint issue. Two different binary variants are implemented for improving the performance of MFO for discrete optimization problems. The proposed model was evaluated and compared with existing algorithms in terms of standard testing benchmarks and showed improved results in terms of average and standard deviation.https://www.mdpi.com/2227-7390/9/2/186wind technology (WT)load frequency controloptimization issuemoth flame optimizer (MFO)Harris hawks optimizer (HHO)
spellingShingle Krishan Arora
Ashok Kumar
Vikram Kumar Kamboj
Deepak Prashar
Bhanu Shrestha
Gyanendra Prasad Joshi
Impact of Renewable Energy Sources into Multi Area Multi-Source Load Frequency Control of Interrelated Power System
Mathematics
wind technology (WT)
load frequency control
optimization issue
moth flame optimizer (MFO)
Harris hawks optimizer (HHO)
title Impact of Renewable Energy Sources into Multi Area Multi-Source Load Frequency Control of Interrelated Power System
title_full Impact of Renewable Energy Sources into Multi Area Multi-Source Load Frequency Control of Interrelated Power System
title_fullStr Impact of Renewable Energy Sources into Multi Area Multi-Source Load Frequency Control of Interrelated Power System
title_full_unstemmed Impact of Renewable Energy Sources into Multi Area Multi-Source Load Frequency Control of Interrelated Power System
title_short Impact of Renewable Energy Sources into Multi Area Multi-Source Load Frequency Control of Interrelated Power System
title_sort impact of renewable energy sources into multi area multi source load frequency control of interrelated power system
topic wind technology (WT)
load frequency control
optimization issue
moth flame optimizer (MFO)
Harris hawks optimizer (HHO)
url https://www.mdpi.com/2227-7390/9/2/186
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