Optimal design of cascaded control scheme for PV system using BFO algorithm
In this paper presents Bacteria Foraging Optimization (BFO) algorithm based approach to find the optimum design values for the Proportional-Integral (PI) Controllers in cascaded structure is presented. Tuning the values of four PI controllers is very complex when the system is difficult to express i...
| Main Authors: | , , , , |
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| Format: | Conference Paper |
| Published: |
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/26979 |
| _version_ | 1848752136847884288 |
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| author | Kalaam, R. Hasanien, H. Al-Durra, A. Al-Wahedi, K. Muyeen, S.M. |
| author_facet | Kalaam, R. Hasanien, H. Al-Durra, A. Al-Wahedi, K. Muyeen, S.M. |
| author_sort | Kalaam, R. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | In this paper presents Bacteria Foraging Optimization (BFO) algorithm based approach to find the optimum design values for the Proportional-Integral (PI) Controllers in cascaded structure is presented. Tuning the values of four PI controllers is very complex when the system is difficult to express in terms of mathematical model due to system nonlinearity. Response surface methodology (RSM) is used to formulate a mathematical design which is required to apply optimization algorithm. To examine the performance of BFO algorithm in obtaining optimum values of multiple PI controllers, a grid connected Photovoltaic (PV) system is chosen. Transient performance of the PI controller with optimum design values is evaluated under grid fault conditions. The system is simulated using PSCAD/EMTDC. Simulation results have shown the validity of the optimal design values obtained from RSM-BFO approach under different disturbances and system parameter variations. |
| first_indexed | 2025-11-14T08:03:50Z |
| format | Conference Paper |
| id | curtin-20.500.11937-26979 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:03:50Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-269792017-09-13T16:11:35Z Optimal design of cascaded control scheme for PV system using BFO algorithm Kalaam, R. Hasanien, H. Al-Durra, A. Al-Wahedi, K. Muyeen, S.M. In this paper presents Bacteria Foraging Optimization (BFO) algorithm based approach to find the optimum design values for the Proportional-Integral (PI) Controllers in cascaded structure is presented. Tuning the values of four PI controllers is very complex when the system is difficult to express in terms of mathematical model due to system nonlinearity. Response surface methodology (RSM) is used to formulate a mathematical design which is required to apply optimization algorithm. To examine the performance of BFO algorithm in obtaining optimum values of multiple PI controllers, a grid connected Photovoltaic (PV) system is chosen. Transient performance of the PI controller with optimum design values is evaluated under grid fault conditions. The system is simulated using PSCAD/EMTDC. Simulation results have shown the validity of the optimal design values obtained from RSM-BFO approach under different disturbances and system parameter variations. 2016 Conference Paper http://hdl.handle.net/20.500.11937/26979 10.1109/ICRERA.2015.7418541 fulltext |
| spellingShingle | Kalaam, R. Hasanien, H. Al-Durra, A. Al-Wahedi, K. Muyeen, S.M. Optimal design of cascaded control scheme for PV system using BFO algorithm |
| title | Optimal design of cascaded control scheme for PV system using BFO algorithm |
| title_full | Optimal design of cascaded control scheme for PV system using BFO algorithm |
| title_fullStr | Optimal design of cascaded control scheme for PV system using BFO algorithm |
| title_full_unstemmed | Optimal design of cascaded control scheme for PV system using BFO algorithm |
| title_short | Optimal design of cascaded control scheme for PV system using BFO algorithm |
| title_sort | optimal design of cascaded control scheme for pv system using bfo algorithm |
| url | http://hdl.handle.net/20.500.11937/26979 |