PROBABILISTIC ASSESSMENT OF SPINNING RESERVE IN INTERCONNECTED GENERATION SYSTEMS
| dc.creator | Ahmad, Syed Khurshid | |
| dc.date.accessioned | 2018-12-04T18:05:31Z | |
| dc.date.available | 2018-12-04T18:05:31Z | |
| dc.date.issued | 1992-10 | |
| dc.date.submitted | October 1992 | en_US |
| dc.description.abstract | Reliability evaluation of a power system is an important aspect of a utility's overall planning and operation process. Most utilities use deterministic techniques for spinning reserve assessment. Deterministic methods do not respond to the stochastic nature of system components. Probabilistic criteria usually respond to the significant factors which affect the reliability of a system. A probabilistic technique called the 'Expected Energy Assistance' is developed to assess spinning reserve requirements in interconnected generation systems. The expected energy assistance is an energy based approach which incorporates both the magnitude and the duration of assistance in its evaluation process. The expected energy assistance technique provides a consistent way of assessing spinning reserve sharing among interconnected systems. The technique, along with the effect of generating unit sizes, tie-line capacity and lead time on spinning reserve requirements are illustrated in the thesis. Reliability test systems are utilized throughout the thesis in order to provide numerical examples. Assessment of spinning reserve requirements in interconnected generating systems with export/import agreement is illustrated. Mathematical models have been developed to represent export/import constrained tie capacity and export/import constrained assistance. These developments are illustrated in detail in this thesis. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10388/11552 | |
| dc.title | PROBABILISTIC ASSESSMENT OF SPINNING RESERVE IN INTERCONNECTED GENERATION SYSTEMS | en_US |
| dc.type.genre | Thesis | en_US |
| thesis.degree.department | Electrical and Computer Engineering | en_US |
| thesis.degree.discipline | Electrical Engineering | en_US |
| thesis.degree.grantor | University of Saskatchewan | en_US |
| thesis.degree.level | Masters | en_US |
| thesis.degree.name | Master of Science (M.Sc.) | en_US |