Enhancing the Conventional Controllers for Load Frequency Control of Isolated Microgrids Using Proposed Multi-Objective Formulation via Artificial Rabbits Optimization Algorithm
Isolated microgrids (IMGs) power remote areas. However, IMG may lower the frequency stability and increase frequency excursions with low system inertia. Load frequency management ensures system stability. Thus, the paper proposes a novel multi-objective tuning strategy to improve IMG’s lo...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10005271/ |
| _version_ | 1797902238974214144 |
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| author | A. Elsawy Khalil Tarek A. Boghdady M. H. Alham Doaa Khalil Ibrahim |
| author_facet | A. Elsawy Khalil Tarek A. Boghdady M. H. Alham Doaa Khalil Ibrahim |
| author_sort | A. Elsawy Khalil |
| collection | DOAJ |
| description | Isolated microgrids (IMGs) power remote areas. However, IMG may lower the frequency stability and increase frequency excursions with low system inertia. Load frequency management ensures system stability. Thus, the paper proposes a novel multi-objective tuning strategy to improve IMG’s load frequency control (LFC) and take the microgrid controller’s control signals into account. Diesel engine generator, fuel cell, battery energy storage system, and renewable energy sources (RESs) like photovoltaic and wind systems make up the IMG. Conventional controllers such as proportional-integral (PI) and proportional integral derivative (PID) are classically tuned based on the standard error criteria as a traditional single-objective tuning approach. Due to the low inertia of the system and the stochastic nature of RES, they cannot act as required under different operating scenarios. Therefore, the PI and PID controllers are tuned using the proposed multi-objective-based tuning approach to reduce the frequency deviations. In addition, anti-windup is applied to the enhanced classic controllers to keep them distant from the nonlinear zone and beyond the source’s physical constraints. The proposed tuning process also considers the maximum practical generation rates for different sources. The recent Artificial Rabbits Optimization (ARO) algorithm is applied to simultaneously adjust the controller parameters for several controlled sources in IMG. Extensive simulations in MATLAB and Simulink confirm the effectiveness of the proposed approach to keep the system stable even when facing high levels of disturbances. In addition, accomplishing sensitivity analysis, severe ±25% changes to the system’s parameters guarantee that the proposed tuning strategy keeps the system stable. |
| first_indexed | 2024-04-10T09:14:33Z |
| format | Article |
| id | doaj.art-9f1ea0aa44714c78b964b829d414ea98 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T09:14:33Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-9f1ea0aa44714c78b964b829d414ea982023-02-21T00:01:45ZengIEEEIEEE Access2169-35362023-01-01113472349310.1109/ACCESS.2023.323404310005271Enhancing the Conventional Controllers for Load Frequency Control of Isolated Microgrids Using Proposed Multi-Objective Formulation via Artificial Rabbits Optimization AlgorithmA. Elsawy Khalil0https://orcid.org/0000-0002-6765-6683Tarek A. Boghdady1https://orcid.org/0000-0002-8838-5384M. H. Alham2https://orcid.org/0000-0002-8943-6614Doaa Khalil Ibrahim3https://orcid.org/0000-0003-0177-5089Electrical Power Engineering Department, Faculty of Engineering, Cairo University, Giza, Cairo, EgyptElectrical Power Engineering Department, Faculty of Engineering, Cairo University, Giza, Cairo, EgyptElectrical Power Engineering Department, Faculty of Engineering, Cairo University, Giza, Cairo, EgyptElectrical Power Engineering Department, Faculty of Engineering, Cairo University, Giza, Cairo, EgyptIsolated microgrids (IMGs) power remote areas. However, IMG may lower the frequency stability and increase frequency excursions with low system inertia. Load frequency management ensures system stability. Thus, the paper proposes a novel multi-objective tuning strategy to improve IMG’s load frequency control (LFC) and take the microgrid controller’s control signals into account. Diesel engine generator, fuel cell, battery energy storage system, and renewable energy sources (RESs) like photovoltaic and wind systems make up the IMG. Conventional controllers such as proportional-integral (PI) and proportional integral derivative (PID) are classically tuned based on the standard error criteria as a traditional single-objective tuning approach. Due to the low inertia of the system and the stochastic nature of RES, they cannot act as required under different operating scenarios. Therefore, the PI and PID controllers are tuned using the proposed multi-objective-based tuning approach to reduce the frequency deviations. In addition, anti-windup is applied to the enhanced classic controllers to keep them distant from the nonlinear zone and beyond the source’s physical constraints. The proposed tuning process also considers the maximum practical generation rates for different sources. The recent Artificial Rabbits Optimization (ARO) algorithm is applied to simultaneously adjust the controller parameters for several controlled sources in IMG. Extensive simulations in MATLAB and Simulink confirm the effectiveness of the proposed approach to keep the system stable even when facing high levels of disturbances. In addition, accomplishing sensitivity analysis, severe ±25% changes to the system’s parameters guarantee that the proposed tuning strategy keeps the system stable.https://ieeexplore.ieee.org/document/10005271/Artificial rabbits optimization (ARO) algorithmisolated microgrid (IMG)load frequency control (LFC)multi-objective tuning approachrenewable energy resources (RES) |
| spellingShingle | A. Elsawy Khalil Tarek A. Boghdady M. H. Alham Doaa Khalil Ibrahim Enhancing the Conventional Controllers for Load Frequency Control of Isolated Microgrids Using Proposed Multi-Objective Formulation via Artificial Rabbits Optimization Algorithm IEEE Access Artificial rabbits optimization (ARO) algorithm isolated microgrid (IMG) load frequency control (LFC) multi-objective tuning approach renewable energy resources (RES) |
| title | Enhancing the Conventional Controllers for Load Frequency Control of Isolated Microgrids Using Proposed Multi-Objective Formulation via Artificial Rabbits Optimization Algorithm |
| title_full | Enhancing the Conventional Controllers for Load Frequency Control of Isolated Microgrids Using Proposed Multi-Objective Formulation via Artificial Rabbits Optimization Algorithm |
| title_fullStr | Enhancing the Conventional Controllers for Load Frequency Control of Isolated Microgrids Using Proposed Multi-Objective Formulation via Artificial Rabbits Optimization Algorithm |
| title_full_unstemmed | Enhancing the Conventional Controllers for Load Frequency Control of Isolated Microgrids Using Proposed Multi-Objective Formulation via Artificial Rabbits Optimization Algorithm |
| title_short | Enhancing the Conventional Controllers for Load Frequency Control of Isolated Microgrids Using Proposed Multi-Objective Formulation via Artificial Rabbits Optimization Algorithm |
| title_sort | enhancing the conventional controllers for load frequency control of isolated microgrids using proposed multi objective formulation via artificial rabbits optimization algorithm |
| topic | Artificial rabbits optimization (ARO) algorithm isolated microgrid (IMG) load frequency control (LFC) multi-objective tuning approach renewable energy resources (RES) |
| url | https://ieeexplore.ieee.org/document/10005271/ |
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