Improved Frequency Regulation in Microgrids using Metaheuristic Algorithms
This research article describes the frequency regulation of an interconnected power system that includes wind energy systems and thermal non-reheat systems, with a proportional integral derivative (PID) controller optimized using metaheuristic algorithms such as Genetic-Algorithm (GA), Harmony-Searc...
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| Language: | English |
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OICC Press
2023-06-01
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| Series: | Majlesi Journal of Electrical Engineering |
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| Online Access: | https://oiccpress.com/mjee/article/view/5000 |
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| author | Shahnawaj Shahnawaj Saurabh Chanana Ravinder Singh Bhatia |
| author_facet | Shahnawaj Shahnawaj Saurabh Chanana Ravinder Singh Bhatia |
| author_sort | Shahnawaj Shahnawaj |
| collection | DOAJ |
| description | This research article describes the frequency regulation of an interconnected power system that includes wind energy systems and thermal non-reheat systems, with a proportional integral derivative (PID) controller optimized using metaheuristic algorithms such as Genetic-Algorithm (GA), Harmony-Search-Algorithm (HSA), Bat-Algorithm (BA), and Flower-Pollination-Algorithm (FPA). With the demand for precisely efficient energy systems growing, system engineers are increasingly looking for the finely optimized control solution that also has the benefit of faster convergence and avoids entrapment in local minimal. To minimize the fitness function which is based on ITAE (Integral of Time multiplied Absolute Error) criteria composed of frequency and tie-line power changes, we have obtained an optimum solution in terms of PID controller gain values using the metaheuristics optimizing techniques. Change in frequency in area 1, deviation in tie-line power, and change in frequency in area 2 obtained from different techniques are compared. The results obtained by simulating MATLAB/Simulink convey that PID controller gain values optimized using the HSA technique provide better dynamic performance compared to BA, FPA and GA techniques. The simulation results have been experimentally validated using hardware-in-loop (HIL) on a real-time simulator based on field-programmable gate arrays (FPGA). The HSA optimized PID controller is used to investigate the robustness of the system by Step-Load-Perturbation (SLP) and Random Step Load Pattern (RSLP). Results obtained by running simulation also show that the HSA optimized PID controller for the same optimized gain value can withstand the SLP and RSLP variation made in the system. |
| format | Article |
| id | doaj-art-e580393f08794323a25ce3324d5e1728 |
| institution | DOAJ |
| issn | 2345-377X 2345-3796 |
| language | English |
| publishDate | 2023-06-01 |
| publisher | OICC Press |
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| series | Majlesi Journal of Electrical Engineering |
| spelling | doaj-art-e580393f08794323a25ce3324d5e17282025-08-20T03:03:54ZengOICC PressMajlesi Journal of Electrical Engineering2345-377X2345-37962023-06-0117210.30486/mjee.2023.1970217.0Improved Frequency Regulation in Microgrids using Metaheuristic AlgorithmsShahnawaj Shahnawaj0Saurabh Chanana1Ravinder Singh Bhatia2Electrical Engineering Department, National Institute of Technology, Kurukshetra, Haryana, IndiaElectrical Engineering Department, National Institute of Technology, Kurukshetra, Haryana, IndiaElectrical Engineering Department, National Institute of Technology, Kurukshetra, Haryana, IndiaThis research article describes the frequency regulation of an interconnected power system that includes wind energy systems and thermal non-reheat systems, with a proportional integral derivative (PID) controller optimized using metaheuristic algorithms such as Genetic-Algorithm (GA), Harmony-Search-Algorithm (HSA), Bat-Algorithm (BA), and Flower-Pollination-Algorithm (FPA). With the demand for precisely efficient energy systems growing, system engineers are increasingly looking for the finely optimized control solution that also has the benefit of faster convergence and avoids entrapment in local minimal. To minimize the fitness function which is based on ITAE (Integral of Time multiplied Absolute Error) criteria composed of frequency and tie-line power changes, we have obtained an optimum solution in terms of PID controller gain values using the metaheuristics optimizing techniques. Change in frequency in area 1, deviation in tie-line power, and change in frequency in area 2 obtained from different techniques are compared. The results obtained by simulating MATLAB/Simulink convey that PID controller gain values optimized using the HSA technique provide better dynamic performance compared to BA, FPA and GA techniques. The simulation results have been experimentally validated using hardware-in-loop (HIL) on a real-time simulator based on field-programmable gate arrays (FPGA). The HSA optimized PID controller is used to investigate the robustness of the system by Step-Load-Perturbation (SLP) and Random Step Load Pattern (RSLP). Results obtained by running simulation also show that the HSA optimized PID controller for the same optimized gain value can withstand the SLP and RSLP variation made in the system.https://oiccpress.com/mjee/article/view/5000Bat-Algorithm (BA)Flower-Pollination-Algorithm (FPA)Harmony-Search-Algorithm (HSA)Load-Frequency-Control (LFC)Proportional-Integral-Derivative (PID). Hardware in Loop (HIL) |
| spellingShingle | Shahnawaj Shahnawaj Saurabh Chanana Ravinder Singh Bhatia Improved Frequency Regulation in Microgrids using Metaheuristic Algorithms Majlesi Journal of Electrical Engineering Bat-Algorithm (BA) Flower-Pollination-Algorithm (FPA) Harmony-Search-Algorithm (HSA) Load-Frequency-Control (LFC) Proportional-Integral-Derivative (PID). Hardware in Loop (HIL) |
| title | Improved Frequency Regulation in Microgrids using Metaheuristic Algorithms |
| title_full | Improved Frequency Regulation in Microgrids using Metaheuristic Algorithms |
| title_fullStr | Improved Frequency Regulation in Microgrids using Metaheuristic Algorithms |
| title_full_unstemmed | Improved Frequency Regulation in Microgrids using Metaheuristic Algorithms |
| title_short | Improved Frequency Regulation in Microgrids using Metaheuristic Algorithms |
| title_sort | improved frequency regulation in microgrids using metaheuristic algorithms |
| topic | Bat-Algorithm (BA) Flower-Pollination-Algorithm (FPA) Harmony-Search-Algorithm (HSA) Load-Frequency-Control (LFC) Proportional-Integral-Derivative (PID). Hardware in Loop (HIL) |
| url | https://oiccpress.com/mjee/article/view/5000 |
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