Change search
ReferencesLink to record
Permanent link

Direct link
Stochastic Investment in Power System Flexibility:A Benders Decomposition Approach
KTH, School of Electrical Engineering (EES).
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The e_cient use of the available assets is the goal of the liberalized electricity market. Nowadays, the development of new technologies of renewable production results in a signi_cant increase in the total installed capacity of this type of generation in the power system. However, the unpredictable nature of this resources results in a changing and non controllable generation that forces the power system to be constantly adapting to these new levels of production. Thermal units, that are the base of generation, are the responsible to replace this changing generation, but their ramp rates may not be fast enough to adapt it. Thus, other resources must be developed to overcome these inconveniences. The degree to which these resources help system stability is called exibility. In this thesis, depending on operational short-term or investment long-term decisions, di_erent points of view about exibility are studied. Short-term includes sources as adaptable demand or storage availability while long-term is examined with the investment. To study the inuence of sources in short-term planning, a model of the National Electricity Market (NEM) of Australia is developed. Flexibility in long-term is analyzed with IEEE-6 and IEEE-30 node systems, applying Benders decomposition. System Flexibility Index and economic bene_t are calculated to measure exibility. This indicators show the utility of developed model in forecasting the required ramp service in future power systems.

Place, publisher, year, edition, pages
2016. , 110 p.
EES Examensarbete / Master Thesis, TRITA EE 2016:052
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-187646OAI: diva2:930844
Available from: 2016-05-25 Created: 2016-05-25 Last updated: 2016-05-25Bibliographically approved

Open Access in DiVA

fulltext(1477 kB)60 downloads
File information
File name FULLTEXT01.pdfFile size 1477 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
School of Electrical Engineering (EES)
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 60 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 48 hits
ReferencesLink to record
Permanent link

Direct link