A novel modified differential evolution algorithm optimized fuzzy proportional integral derivative controller for load frequency control with thyristor controlled series compensator
In this paper, a novel evolution (MDE) algorithm optimized fuzzy PID controller is proposed for load frequency control (LFC) of interconnected power system with the consideration of nonlinearity. The gains of the fuzzy PID controller are optimized using different strategies of DE algorithm. Then, mo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2018-12-01
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| Series: | Journal of Electrical Systems and Information Technology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S231471721630109X |
| _version_ | 1819080124884058112 |
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| author | Dillip Kumar Sahoo Rabindra Kumar Sahu G.T. Chandra Sekhar Sidhartha Panda |
| author_facet | Dillip Kumar Sahoo Rabindra Kumar Sahu G.T. Chandra Sekhar Sidhartha Panda |
| author_sort | Dillip Kumar Sahoo |
| collection | DOAJ |
| description | In this paper, a novel evolution (MDE) algorithm optimized fuzzy PID controller is proposed for load frequency control (LFC) of interconnected power system with the consideration of nonlinearity. The gains of the fuzzy PID controller are optimized using different strategies of DE algorithm. Then, modification in DE algorithm is proposed for the best strategy by a simple but effective scheme of changing two of its most important control parameters (step size and crossover probability) with an objective of achieving improved performance. Additionally, a thyristor controlled series compensator (TCSC) model is developed which is suitable for LFC problem. The performance of fuzzy PID controller coordinated with TCSC has been investigated. Finally the proposed approach is investigated under randomly load. Keywords: Load frequency control (LFC), Generation rate constraint (GRC), Fuzzy logic controller (FLC), Differential evolution (DE) algorithm, Thyristor controlled series compensator (TCSC) |
| first_indexed | 2024-12-21T19:39:54Z |
| format | Article |
| id | doaj.art-7ee0973fa233471e88b0eb5813be489a |
| institution | Directory Open Access Journal |
| issn | 2314-7172 |
| language | English |
| last_indexed | 2024-12-21T19:39:54Z |
| publishDate | 2018-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Electrical Systems and Information Technology |
| spelling | doaj.art-7ee0973fa233471e88b0eb5813be489a2022-12-21T18:52:29ZengSpringerOpenJournal of Electrical Systems and Information Technology2314-71722018-12-0153944963A novel modified differential evolution algorithm optimized fuzzy proportional integral derivative controller for load frequency control with thyristor controlled series compensatorDillip Kumar Sahoo0Rabindra Kumar Sahu1G.T. Chandra Sekhar2Sidhartha Panda3Department of Electrical Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha 768018, IndiaCorresponding author. Fax: +91 6632430204.; Department of Electrical Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha 768018, IndiaDepartment of Electrical Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha 768018, IndiaDepartment of Electrical Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha 768018, IndiaIn this paper, a novel evolution (MDE) algorithm optimized fuzzy PID controller is proposed for load frequency control (LFC) of interconnected power system with the consideration of nonlinearity. The gains of the fuzzy PID controller are optimized using different strategies of DE algorithm. Then, modification in DE algorithm is proposed for the best strategy by a simple but effective scheme of changing two of its most important control parameters (step size and crossover probability) with an objective of achieving improved performance. Additionally, a thyristor controlled series compensator (TCSC) model is developed which is suitable for LFC problem. The performance of fuzzy PID controller coordinated with TCSC has been investigated. Finally the proposed approach is investigated under randomly load. Keywords: Load frequency control (LFC), Generation rate constraint (GRC), Fuzzy logic controller (FLC), Differential evolution (DE) algorithm, Thyristor controlled series compensator (TCSC)http://www.sciencedirect.com/science/article/pii/S231471721630109X |
| spellingShingle | Dillip Kumar Sahoo Rabindra Kumar Sahu G.T. Chandra Sekhar Sidhartha Panda A novel modified differential evolution algorithm optimized fuzzy proportional integral derivative controller for load frequency control with thyristor controlled series compensator Journal of Electrical Systems and Information Technology |
| title | A novel modified differential evolution algorithm optimized fuzzy proportional integral derivative controller for load frequency control with thyristor controlled series compensator |
| title_full | A novel modified differential evolution algorithm optimized fuzzy proportional integral derivative controller for load frequency control with thyristor controlled series compensator |
| title_fullStr | A novel modified differential evolution algorithm optimized fuzzy proportional integral derivative controller for load frequency control with thyristor controlled series compensator |
| title_full_unstemmed | A novel modified differential evolution algorithm optimized fuzzy proportional integral derivative controller for load frequency control with thyristor controlled series compensator |
| title_short | A novel modified differential evolution algorithm optimized fuzzy proportional integral derivative controller for load frequency control with thyristor controlled series compensator |
| title_sort | novel modified differential evolution algorithm optimized fuzzy proportional integral derivative controller for load frequency control with thyristor controlled series compensator |
| url | http://www.sciencedirect.com/science/article/pii/S231471721630109X |
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