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DC Field | Value | Language |
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dc.contributor.author | Srivastava, Shrish Kumar | - |
dc.date.accessioned | 2014-12-01T08:34:47Z | - |
dc.date.available | 2014-12-01T08:34:47Z | - |
dc.date.issued | 1987 | - |
dc.identifier | M.Tech | en_US |
dc.identifier.uri | http://hdl.handle.net/123456789/12552 | - |
dc.guide | Pal, Jayanta | - |
dc.description.abstract | Any physical system such as electrical power systems, chemical plants, aircraft etc. can be described mathemati-cally by state space models.Electric power systems may be modelled by large number of differential equations that lead to high order state space or transfer function models. From analysis point of view9 these high order models present formidable problems. Thus, there is a need for systematic procedure to derive a reduced order dynamic equivalent model in the state space or in transfer function form from the corresponding high order descriptions. Several approaches to the model reduction problem have been developed either in time domain or in frequency domain. But as far as possible, the reduced order model approximates certain dominant characteristics of the original system. In the present work an attempt has been made to solve the Load- Frequency Control (LFC) problem using reduced order modelling techniques. We test the feasibility of using pade type reduced order models for analysis of this power system problem. Subsequently reduced order modelling technique is applied for finding the controller parameters for suboptimal and P-I-D. Control. The results are then compared with that of the optimal case. | en_US |
dc.language.iso | en | en_US |
dc.subject | ELECTRICAL ENGINEERING | en_US |
dc.subject | LOAD FREQUENCY CONTROL | en_US |
dc.subject | LOW ORDER MODELS | en_US |
dc.subject | ELECTRICAL POWER SYSTEMS | en_US |
dc.title | LOAD FREQUENCY CONTROL USING LOW ORDER MODELS | en_US |
dc.type | M.Tech Dessertation | en_US |
dc.accession.number | 179890 | en_US |
Appears in Collections: | MASTERS' THESES (Electrical Engg) |
Files in This Item:
File | Description | Size | Format | |
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EED179890.pdf | 3.3 MB | Adobe PDF | View/Open |
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