Title:
Probabilisitic bulk resource planning with variable non-dispatchable resource penetration
Probabilisitic bulk resource planning with variable non-dispatchable resource penetration
| dc.contributor.advisor | Meliopoulos, A. P. Sakis | |
| dc.contributor.author | Skeath, John Paul | |
| dc.contributor.committeeMember | Grijalva, Santiago | |
| dc.contributor.committeeMember | Habetler, Thomas | |
| dc.contributor.department | Electrical and Computer Engineering | |
| dc.date.accessioned | 2019-01-16T17:25:45Z | |
| dc.date.available | 2019-01-16T17:25:45Z | |
| dc.date.created | 2018-12 | |
| dc.date.issued | 2018-12-06 | |
| dc.date.submitted | December 2018 | |
| dc.date.updated | 2019-01-16T17:25:45Z | |
| dc.description.abstract | Transmission planning with respect to resource adequacy has largely been a deterministic process that fixes the hour of study to a predetermined point. With the rise of non-dispatchable generation, namely photovoltaic solar and wind turbine plants, these set hours may not be an accurate assessment of the reliability of the transmission system. This thesis aims to provide a methodology a Transmission Planner may utilize in order to probabilistically calculate reliability metrics for processes that were originally done deterministically. A test system consisting of dispatchable and non-dispatchable generation serving load on a perfect transmission system is utilized to calculate the LOLP, EUE, and LOLE through a production costing methodology and varying penetration levels of the non-dispatchable resources. Four different scenarios were chosen to illustrate the relationship between the increase of penetration for these non-dispatchable resources and the decrease of the LOLP, EUE, and LOLE. Choosing the worst-case scenario, the author then attempts to determine the equivalent generating capacity increases to capture the reliability improvement of a dispatchable resource. | |
| dc.description.degree | M.S. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1853/60817 | |
| dc.language.iso | en_US | |
| dc.publisher | Georgia Institute of Technology | |
| dc.subject | Probabilistic bulk resource planning | |
| dc.subject | Production cost techniques | |
| dc.subject | Electrical energy | |
| dc.subject | Renewable energy | |
| dc.subject | LOLE | |
| dc.subject | LOLP | |
| dc.subject | EUE | |
| dc.title | Probabilisitic bulk resource planning with variable non-dispatchable resource penetration | |
| dc.type | Text | |
| dc.type.genre | Thesis | |
| dspace.entity.type | Publication | |
| local.contributor.advisor | Meliopoulos, A. P. Sakis | |
| local.contributor.corporatename | School of Electrical and Computer Engineering | |
| local.contributor.corporatename | College of Engineering | |
| relation.isAdvisorOfPublication | e6c102d1-d39c-4d1d-9070-a8743be93cb5 | |
| relation.isOrgUnitOfPublication | 5b7adef2-447c-4270-b9fc-846bd76f80f2 | |
| relation.isOrgUnitOfPublication | 7c022d60-21d5-497c-b552-95e489a06569 | |
| thesis.degree.level | Masters |