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DC Field | Value | Language |
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dc.contributor.author | Vijay, M. | - |
dc.contributor.author | Jena, D. | - |
dc.date.accessioned | 2020-03-30T09:59:07Z | - |
dc.date.available | 2020-03-30T09:59:07Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | 2012 International Conference on Computing, Communication and Applications, ICCCA 2012, 2012, Vol., , pp.- | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/7445 | - |
dc.description.abstract | This paper deals with Automatic generation control (AGC) of interconnected hydrothermal system in continuous-discrete mode using proportional-integral (PI) controller with different tuning approaches. Here the PI controller is initially tuned using local optimization technique such as Fminsearch (Existing MATLAB function) and optimal control strategies were taken as integral square error (ISE)' integral time-absolute error (IATE) and integral time square error (ISTE). Then the same PI controller is tuned by using evolutionary algorithm i.e. genetic algorithm (GA). For the given system appropriate generation rate constraint (GRC) has been considered both for the thermal and hydro plants. System performances is examined considering 1% step load perturbation in both thermal and hydro area with 1 second sampling period. Finally the performance of both the local and global optimization algorithms is compared in terms of the time domain specifications both for frequency deviation in each area' and tie line power. � 2012 IEEE. | en_US |
dc.title | A continuous-discrete mode of optimal control of AGC for multi area hydrothermal system using genetic algorithm | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
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