Case study of power system state estimation by using artificial neural network / (Record no. 2808)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02611nam a2200265 a 4500 |
| 001 - CONTROL NUMBER | |
| control field | vtls000055039 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251114204501.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 110722t2009 my a f m 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | THE0006680(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] | |
| Level of rules in bibliographic description | 201905171505 |
| Level of effort used to assign nonsubject heading access points | amirul |
| -- | 201107221559 |
| -- | ida |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) | |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | TK1005 .L53 2010 rs Bc. |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Liang, Kai Feng |
| 245 10 - TITLE STATEMENT | |
| Title | Case study of power system state estimation by using artificial neural network / |
| Statement of responsibility, etc. | Liang Kai Feng |
| 246 3# - VARYING FORM OF TITLE | |
| Title proper/short title | Case study of power system state estimation by using artificial neural network |
| Medium | [computer file] |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Kuantan, Pahang : |
| Name of publisher, distributor, etc. | UMP, |
| Date of publication, distribution, etc. | 2010 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiv, 68 p. : |
| Other physical details | ill. (some col.) ; |
| Dimensions | 30 cm. + 1 computer disc |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Project paper (Bachelor of Electrical Engineering (Power System)) -- Universiti Malaysia Pahang - 2010 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography : p. 67-68 |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | This is a study that mains in Artificial Neural Network technique which introduces approach towards the problem of errors that arise due to the practical equipment and actual measurements in distribution systems. Real time data or the state variables measured in power system are often incorporated with error. This project outputs a software program that performs power system state estimation using artificial intelligence optimization. It was developed using Artificial Neural Network in MATLAB software. This method considers nonlinear characteristics of the practical equipment and actual measurements in distribution systems. It can estimate bus voltage and load angle values at each node by minimizing difference between measured and calculated state variables. This is accomplished by the utilization of load flow analysis program which acts as computerized conventional solution that calculates mathematically the exact target outputs in accordance to the inputs applied. The significant functions of the developed software program also include the accurate estimation of power system state with insufficient input data applied. This project has successfully built a power system state estimation software program that perform accurate state estimation achieving desired outputs even when provided with insufficient input data magnitudes. It helps identify the current operating state of the system on which, security assessment functions and hence contingencies can be analyzed leading to the required corrective actions |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Electric power system |
| General subdivision | State estimation |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Neural networks |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Not lost | Not for loan | UMPLIB PEKAN | UMPLIB PEKAN | 04/09/2019 | TK1005 .L53 2010 rs Bc. | 0000058232 | 04/09/2019 | 1 | 04/09/2019 | Final Year Report | |||
| Not lost | Not for loan | UMPLIB PEKAN | UMPLIB PEKAN | 04/09/2019 | CD 5316 | TK1005 .L53 2010 rs Bc. | 0000058233 | 04/09/2019 | 1 | 04/09/2019 | Final Year Report |