Reliability analysis methods for power systems with substantial penetration of renewable generating resources

Alamri, Abdullah Saad N. Abdullah

Title:

Reliability analysis methods for power systems with substantial penetration of renewable generating resources

dc.contributor.advisor	Meliopoulos, A. P. Sakis
dc.contributor.author	Alamri, Abdullah Saad N. Abdullah
dc.contributor.committeeMember	Saeedifard, Maryam
dc.contributor.committeeMember	Gebraeel, Nagi
dc.contributor.committeeMember	Grijalva, Santiago
dc.contributor.committeeMember	Molzahn, Daniel
dc.contributor.department	Electrical and Computer Engineering
dc.date.accessioned	2020-05-20T17:00:11Z
dc.date.available	2020-05-20T17:00:11Z
dc.date.created	2020-05
dc.date.issued	2020-03-18
dc.date.submitted	May 2020
dc.date.updated	2020-05-20T17:00:11Z
dc.description.abstract	Today’s typical power systems have a mix of conventional generation (CG) and variable generation (VG). Examples of VG are wind turbine systems (WTSs) and solar cell generators (SCGs). VG is characterized by intermittency and its integration into power systems affects power systems operation, reliability and planning practices. The focus of this research is generation adequacy when adding VG. The objective of this thesis is to develop reliability assessment models of power systems with wind farms (WF) and/or solar farms (SF); each WF may have a number of WTSs and each SF may have a number of SCGs. These models involve finding WF/SF power output probability. Three different methods for computing the generated power probability distribution function (PDF) of a WF or a SF are proposed: (1) analytical method, (2) non-sequential Monte Carlo simulation, and (3) sequential Monte Carlo simulation. Historical wind speed/solar radiation data are utilized to perform the study. Further, force outage rates (FORs) of components are incorporated in the process of computing the WF/SF generated power PDF. All methods yield comparable results. The usefulness of the computed PDF is demonstrated by integrating them into a probabilistic production costing (PPC) model for assessing the reliability of a system comprising one or more WFs/SFs. A further development of these models includes a unit commitment economic dispatch model (UCED) to simulate real operation of power systems, specifically CG constraints in presence of VG at different penetration levels. Also, the UCED will be used to solve for optimal energy storage system (ESS) sizing and its expected charging and discharging power profile. This profile determines the expected ESS effect on reliability. The optimal ESS sizing problem is modeled as a mixed integer linear program (MILP) that takes into account: (a) VG units FORs, (b) reserve and demand requirements, and (c) CG operational constraints. (d) seasonal wind speed, solar radiation, and demand correlation.
dc.description.degree	Ph.D.
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/1853/62773
dc.publisher	Georgia Institute of Technology
dc.subject	Energy storage sizing
dc.subject	Expected unserved energy
dc.subject	Loss of load probability
dc.subject	Probabilistic production costing
dc.subject	Seasonal correlation
dc.subject	Reliability assessment
dc.subject	Variable generation
dc.title	Reliability analysis methods for power systems with substantial penetration of renewable generating resources
dc.type	Text
dc.type.genre	Dissertation
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	Doctoral