An Optimized PID Parameters for LFC in Interconnected Power Systems Using MLSL Optimization Algorithm
This research presents the load frequency control (LFC) of three interconnected power systems using a MultiLevel Single Linkage algorithm (MLSL) and a proportional-integral derivative (PID) control approach. The conventional PID controller is developed using MLSL optimization algorithm including the...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
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Asian Research Publishing Network (ARPN)
2016
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| Online Access: | http://umpir.ump.edu.my/id/eprint/18310/1/An%20Optimized%20PID%20Parametersfor%20LFC%20In%20Interconnected%20Power%20Systems%20Using%20MLSL%20Optimization%20Algorithm.pdf http://umpir.ump.edu.my/id/eprint/18310/2/An%20Optimized%20PID%20Parametersfor%20LFC%20In%20Interconnected%20Power%20Systems%20Using%20MLSL%20Optimization%20Algorithm%201.pdf |
| _version_ | 1796992245211070464 |
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| author | Najeeb, Mushtaq Shahooth, Mohammed Mohaisen, Arrak Ramdan, Razali Hamdan, Daniyal |
| author_facet | Najeeb, Mushtaq Shahooth, Mohammed Mohaisen, Arrak Ramdan, Razali Hamdan, Daniyal |
| author_sort | Najeeb, Mushtaq |
| collection | UMP |
| description | This research presents the load frequency control (LFC) of three interconnected power systems using a MultiLevel Single Linkage algorithm (MLSL) and a proportional-integral derivative (PID) control approach. The conventional PID controller is developed using MLSL optimization algorithm including the LFC loop to minimize the frequency deviation and regulate the power exchange because of the load disturbance changes in area1 and area2. In order to enhance the dynamic performance, the optimal parameters of the PID scheme which optimized by the proposed MLSL algorithm are compared with that one’s obtained by GA algorithm. Integral Square Error (ISE) is considered as an objective function for both algorithms to determine its performance index value for the same interconnected power system. The results show that the performance of the proposed method is more accurate and faster as well in response to the settling time, maximum
deviation, and peak time. The combination algorithms set of MLSL_PID_ISE and GA_PID_ISE are coded and simulated using MATLAB. |
| first_indexed | 2024-03-06T12:17:14Z |
| format | Article |
| id | UMPir18310 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:17:14Z |
| publishDate | 2016 |
| publisher | Asian Research Publishing Network (ARPN) |
| record_format | dspace |
| spelling | UMPir183102018-01-30T01:45:51Z http://umpir.ump.edu.my/id/eprint/18310/ An Optimized PID Parameters for LFC in Interconnected Power Systems Using MLSL Optimization Algorithm Najeeb, Mushtaq Shahooth, Mohammed Mohaisen, Arrak Ramdan, Razali Hamdan, Daniyal TK Electrical engineering. Electronics Nuclear engineering This research presents the load frequency control (LFC) of three interconnected power systems using a MultiLevel Single Linkage algorithm (MLSL) and a proportional-integral derivative (PID) control approach. The conventional PID controller is developed using MLSL optimization algorithm including the LFC loop to minimize the frequency deviation and regulate the power exchange because of the load disturbance changes in area1 and area2. In order to enhance the dynamic performance, the optimal parameters of the PID scheme which optimized by the proposed MLSL algorithm are compared with that one’s obtained by GA algorithm. Integral Square Error (ISE) is considered as an objective function for both algorithms to determine its performance index value for the same interconnected power system. The results show that the performance of the proposed method is more accurate and faster as well in response to the settling time, maximum deviation, and peak time. The combination algorithms set of MLSL_PID_ISE and GA_PID_ISE are coded and simulated using MATLAB. Asian Research Publishing Network (ARPN) 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18310/1/An%20Optimized%20PID%20Parametersfor%20LFC%20In%20Interconnected%20Power%20Systems%20Using%20MLSL%20Optimization%20Algorithm.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/18310/2/An%20Optimized%20PID%20Parametersfor%20LFC%20In%20Interconnected%20Power%20Systems%20Using%20MLSL%20Optimization%20Algorithm%201.pdf Najeeb, Mushtaq and Shahooth, Mohammed and Mohaisen, Arrak and Ramdan, Razali and Hamdan, Daniyal (2016) An Optimized PID Parameters for LFC in Interconnected Power Systems Using MLSL Optimization Algorithm. ARPN Journal of Engineering and Applied Sciences, 11 (19). pp. 11770-11781. ISSN 1819-6608. (Published) http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_1016_5139.pdf |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Najeeb, Mushtaq Shahooth, Mohammed Mohaisen, Arrak Ramdan, Razali Hamdan, Daniyal An Optimized PID Parameters for LFC in Interconnected Power Systems Using MLSL Optimization Algorithm |
| title | An Optimized PID Parameters for LFC in Interconnected Power Systems Using MLSL Optimization Algorithm |
| title_full | An Optimized PID Parameters for LFC in Interconnected Power Systems Using MLSL Optimization Algorithm |
| title_fullStr | An Optimized PID Parameters for LFC in Interconnected Power Systems Using MLSL Optimization Algorithm |
| title_full_unstemmed | An Optimized PID Parameters for LFC in Interconnected Power Systems Using MLSL Optimization Algorithm |
| title_short | An Optimized PID Parameters for LFC in Interconnected Power Systems Using MLSL Optimization Algorithm |
| title_sort | optimized pid parameters for lfc in interconnected power systems using mlsl optimization algorithm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/18310/1/An%20Optimized%20PID%20Parametersfor%20LFC%20In%20Interconnected%20Power%20Systems%20Using%20MLSL%20Optimization%20Algorithm.pdf http://umpir.ump.edu.my/id/eprint/18310/2/An%20Optimized%20PID%20Parametersfor%20LFC%20In%20Interconnected%20Power%20Systems%20Using%20MLSL%20Optimization%20Algorithm%201.pdf |
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