Assessment of energy storage and renewable energy sources-based two-area microgrid system using optimized fractional order controllers
The stability of modern power systems faces significant challenges due to intermittent renewable generation and fluctuating load demands, resulting in excessive frequency variations. To address this issue and prevent potential blackouts, implementing a robust control strategy is crucial. This study...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Elsevier Ltd
2024
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41074/1/Assessment%20of%20energy%20storage%20and%20renewable%20energy%20sources.pdf http://umpir.ump.edu.my/id/eprint/41074/2/Assessment%20of%20energy%20storage.pdf |
| _version_ | 1825815614242947072 |
|---|---|
| author | Peddakapu, K. Mohd Rusllim, Mohamed Srinivasarao, P. Arya, Yogendra |
| author_facet | Peddakapu, K. Mohd Rusllim, Mohamed Srinivasarao, P. Arya, Yogendra |
| author_sort | Peddakapu, K. |
| collection | UMP |
| description | The stability of modern power systems faces significant challenges due to intermittent renewable generation and fluctuating load demands, resulting in excessive frequency variations. To address this issue and prevent potential blackouts, implementing a robust control strategy is crucial. This study introduces a cascaded control system, combining a novel fractional order integral derivative (FOID) with a fractional order proportional integral derivative with filter (FOPIDN) controllers, denoted as CFOID-FOPIDN. The gain parameters for CFOID-FOPIDN are determined using the Archimedes optimization algorithm (AOA). The proposed two-area microgrid system incorporates various power-generating sources, including solar, wind turbine generators, fuel cells, micro-turbines, and battery energy storage technologies. To assess the AOA-tuned CFOID-FOPIDN controller's effectiveness, the system is tested under five different conditions: load fluctuations, changes in wind speed, variations in irradiance, combined wind and irradiance variations, and comprehensive changes across all conditions. Simulation results reveal that the AOA-based CFOID-FOPIDN outperforms other existing algorithms, such as particle swarm optimization (PSO), bat algorithm (BAT), moth flame optimization (MFO), and whale optimization algorithm (WOA). In dynamic variations across all sources, the AOA-tuned strategy demonstrates shorter settling times in area-1 (2.5 s), area-2 (2.2 s), and tie-line power (2.1 s) compared to PSO (3.5 s, 3.8 s, 3.4 s), WOA (3.2 s, 3.4 s, 3.1 s), BA (3.0 s, 3.1 s, 3.0 s), and MFO (2.9 s, 2.8 s, 2.9 s). Across all five scenarios, the AOA-tuned CFOID-FOPIDN strategy consistently demonstrates superior performance compared to the other strategies under consideration. |
| first_indexed | 2024-09-25T03:48:51Z |
| format | Article |
| id | UMPir41074 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-09-25T03:48:51Z |
| publishDate | 2024 |
| publisher | Elsevier Ltd |
| record_format | dspace |
| spelling | UMPir410742024-04-29T02:38:12Z http://umpir.ump.edu.my/id/eprint/41074/ Assessment of energy storage and renewable energy sources-based two-area microgrid system using optimized fractional order controllers Peddakapu, K. Mohd Rusllim, Mohamed Srinivasarao, P. Arya, Yogendra TK Electrical engineering. Electronics Nuclear engineering The stability of modern power systems faces significant challenges due to intermittent renewable generation and fluctuating load demands, resulting in excessive frequency variations. To address this issue and prevent potential blackouts, implementing a robust control strategy is crucial. This study introduces a cascaded control system, combining a novel fractional order integral derivative (FOID) with a fractional order proportional integral derivative with filter (FOPIDN) controllers, denoted as CFOID-FOPIDN. The gain parameters for CFOID-FOPIDN are determined using the Archimedes optimization algorithm (AOA). The proposed two-area microgrid system incorporates various power-generating sources, including solar, wind turbine generators, fuel cells, micro-turbines, and battery energy storage technologies. To assess the AOA-tuned CFOID-FOPIDN controller's effectiveness, the system is tested under five different conditions: load fluctuations, changes in wind speed, variations in irradiance, combined wind and irradiance variations, and comprehensive changes across all conditions. Simulation results reveal that the AOA-based CFOID-FOPIDN outperforms other existing algorithms, such as particle swarm optimization (PSO), bat algorithm (BAT), moth flame optimization (MFO), and whale optimization algorithm (WOA). In dynamic variations across all sources, the AOA-tuned strategy demonstrates shorter settling times in area-1 (2.5 s), area-2 (2.2 s), and tie-line power (2.1 s) compared to PSO (3.5 s, 3.8 s, 3.4 s), WOA (3.2 s, 3.4 s, 3.1 s), BA (3.0 s, 3.1 s, 3.0 s), and MFO (2.9 s, 2.8 s, 2.9 s). Across all five scenarios, the AOA-tuned CFOID-FOPIDN strategy consistently demonstrates superior performance compared to the other strategies under consideration. Elsevier Ltd 2024-05 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41074/1/Assessment%20of%20energy%20storage%20and%20renewable%20energy%20sources.pdf pdf en http://umpir.ump.edu.my/id/eprint/41074/2/Assessment%20of%20energy%20storage.pdf Peddakapu, K. and Mohd Rusllim, Mohamed and Srinivasarao, P. and Arya, Yogendra (2024) Assessment of energy storage and renewable energy sources-based two-area microgrid system using optimized fractional order controllers. Journal of Energy Storage, 86 (111191). pp. 1-26. ISSN 2352-152X. (Published) https://doi.org/10.1016/j.est.2024.111191 https://doi.org/10.1016/j.est.2024.111191 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Peddakapu, K. Mohd Rusllim, Mohamed Srinivasarao, P. Arya, Yogendra Assessment of energy storage and renewable energy sources-based two-area microgrid system using optimized fractional order controllers |
| title | Assessment of energy storage and renewable energy sources-based two-area microgrid system using optimized fractional order controllers |
| title_full | Assessment of energy storage and renewable energy sources-based two-area microgrid system using optimized fractional order controllers |
| title_fullStr | Assessment of energy storage and renewable energy sources-based two-area microgrid system using optimized fractional order controllers |
| title_full_unstemmed | Assessment of energy storage and renewable energy sources-based two-area microgrid system using optimized fractional order controllers |
| title_short | Assessment of energy storage and renewable energy sources-based two-area microgrid system using optimized fractional order controllers |
| title_sort | assessment of energy storage and renewable energy sources based two area microgrid system using optimized fractional order controllers |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/41074/1/Assessment%20of%20energy%20storage%20and%20renewable%20energy%20sources.pdf http://umpir.ump.edu.my/id/eprint/41074/2/Assessment%20of%20energy%20storage.pdf |
| work_keys_str_mv | AT peddakapuk assessmentofenergystorageandrenewableenergysourcesbasedtwoareamicrogridsystemusingoptimizedfractionalordercontrollers AT mohdrusllimmohamed assessmentofenergystorageandrenewableenergysourcesbasedtwoareamicrogridsystemusingoptimizedfractionalordercontrollers AT srinivasaraop assessmentofenergystorageandrenewableenergysourcesbasedtwoareamicrogridsystemusingoptimizedfractionalordercontrollers AT aryayogendra assessmentofenergystorageandrenewableenergysourcesbasedtwoareamicrogridsystemusingoptimizedfractionalordercontrollers |