Distribution system reliability assessment using Monte Carlo simulation techniques
Reliability evaluation of electric power systems has traditionally been an integral part of planning and operation of electric power systems. The changes in the electric utility industry have necessitated the development of more realistic techniques for power system reliability evaluation. Reliab...
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| Other Authors: | |
| Format: | Thesis |
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2010
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| Online Access: | http://hdl.handle.net/10356/39005 |
| _version_ | 1824456436334198784 |
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| author | Liang, Xin Ping. |
| author2 | Lalit Kumar Goel |
| author_facet | Lalit Kumar Goel Liang, Xin Ping. |
| author_sort | Liang, Xin Ping. |
| collection | NTU |
| description | Reliability evaluation of electric power systems has traditionally been an integral part of
planning and operation of electric power systems. The changes in the electric utility industry
have necessitated the development of more realistic techniques for power system reliability
evaluation. Reliability studies are typically performed on the generation system alone, the
composite of generation and transmission systems, and/or distribution systems independently.
With the restructuring of power industry worldwide, generation, transmission and
distribution systems are financially separated to operate so as to make the competition
possible in power industry. As a distribution system is the vital link between the bulk system
(generation and transmission combined) and the customers, the reliability of distribution
system can be used to measure its performance in a highly competitive environment. The
reliability indices normally evaluated for distribution systems are the basic load point indices
and the system performance indices. |
| first_indexed | 2025-02-19T03:54:04Z |
| format | Thesis |
| id | ntu-10356/39005 |
| institution | Nanyang Technological University |
| last_indexed | 2025-02-19T03:54:04Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/390052023-07-04T15:02:20Z Distribution system reliability assessment using Monte Carlo simulation techniques Liang, Xin Ping. Lalit Kumar Goel School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Reliability evaluation of electric power systems has traditionally been an integral part of planning and operation of electric power systems. The changes in the electric utility industry have necessitated the development of more realistic techniques for power system reliability evaluation. Reliability studies are typically performed on the generation system alone, the composite of generation and transmission systems, and/or distribution systems independently. With the restructuring of power industry worldwide, generation, transmission and distribution systems are financially separated to operate so as to make the competition possible in power industry. As a distribution system is the vital link between the bulk system (generation and transmission combined) and the customers, the reliability of distribution system can be used to measure its performance in a highly competitive environment. The reliability indices normally evaluated for distribution systems are the basic load point indices and the system performance indices. Master of Engineering 2010-05-21T03:39:51Z 2010-05-21T03:39:51Z 1997 1997 Thesis http://hdl.handle.net/10356/39005 NANYANG TECHNOLOGICAL UNIVERSITY 142 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Liang, Xin Ping. Distribution system reliability assessment using Monte Carlo simulation techniques |
| title | Distribution system reliability assessment using Monte Carlo simulation techniques |
| title_full | Distribution system reliability assessment using Monte Carlo simulation techniques |
| title_fullStr | Distribution system reliability assessment using Monte Carlo simulation techniques |
| title_full_unstemmed | Distribution system reliability assessment using Monte Carlo simulation techniques |
| title_short | Distribution system reliability assessment using Monte Carlo simulation techniques |
| title_sort | distribution system reliability assessment using monte carlo simulation techniques |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering |
| url | http://hdl.handle.net/10356/39005 |
| work_keys_str_mv | AT liangxinping distributionsystemreliabilityassessmentusingmontecarlosimulationtechniques |