Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Mathematical modeling and solution approaches for balancing Turkish electricity day ahead market
Download
index.pdf
Date
2015
Author
Yörükoğlu, Sinan
Metadata
Show full item record
Item Usage Stats
312
views
115
downloads
Cite This
In the Turkish Electricity Market, electricity trade is carried out largely through Bilateral Agreements and the emerging short term imbalances are settled in the Balancing Power Market, particularly the Day Ahead Market. In the Day Ahead Market, the participants submit their bids for each hour of the next day in the form of price-quantity pairs and the Market Operator evaluates those bids using an optimization tool. After the evaluation of the bids, a Market Clearing Price at every hour of the next day and the accepted bids are announced. In this thesis, a mathematical model for balancing a day in the Turkish Electricity Day Ahead Market is proposed. All types of bids, including hourly, block and flexible bids, are included in the model. As the objective function of the model, “total economic welfare”, which is the sum of consumer surplus and producer surplus, is used. In the model, “paradoxically rejected block orders” are also taken into consideration and a bi-criteria solution approach is proposed for this purpose. An extension of this solution method is also applied as a second approach. Since the proposed model is a mixed integer non-linear programming model, a linear approximation to the objective function is proposed in order to overcome the possible problems at the solution phase. Both models are tested by using several different, generated data sets, and applying the proposed bi-criteria solution approaches. Both solution approaches include total economic welfare and the number of paradoxically rejected block orders as the two criteria. The results and performance of the proposed methods and models are discussed at the end of the study.
Subject Keywords
Electric power consumption
,
Energy consumption
,
Nonlinear programming.
URI
http://etd.lib.metu.edu.tr/upload/12619301/index.pdf
https://hdl.handle.net/11511/25035
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Statistical analysis of electricity energy consumption with respect to provinces in Turkey
Çakmak, Mehmet; Yozgatlıgil, Ceylan; İlk Dağ, Özlem; Department of Statistics (2014)
In recent years, the economic developments in Turkey, rapid increase in population and industrialization and such factors have led to an increment in the demand for electricity in Turkey. Therefore; the accurate estimation of electricity consumption will be important in determining the country's energy strategy. The purpose of this study is to forecast the future electricity energy consumption by acquiring the most consistent and accurate forecast models of the provinces in Turkey by using the fixed effects...
Short term electricity price forecasting in Turkish electricity market
Özgüner, Erdem; Güven, Ali Nezih; Tör, O. Bülent; Department of Electrical and Electronics Engineering (2012)
With the aim for higher economical efficiency, considerable and radical changes have occurred in the worldwide electricity sector since the beginning of 1980s. By that time, the electricity sector has been controlled by the state-owned vertically integrated monopolies which manage and control all generation, transmission, distribution and retail activities and the consumers buy electricity with a price set by these monopolies in that system. After the liberalization and restructuring of the electricity powe...
Temperature in Turkey and Turkish day ahead electricity market prices : modeling and forecasting
Ünlü, Kamil Demirberk; Sezer, Ali Devin; Department of Financial Mathematics (2012)
One of the key steps of the liberalization of the Turkish electricity market has been the estab- lishment of PMUM (Turkish day ahead electricity market). The aim of this study is to explore the dynamics of electricity prices observed in this market and their relation with temperature observed in Turkey. The electricity price process is studied as a univariate process and the same process is studied along with temperature together as a two-dimensional process. We give a fairly complete model of temperature. ...
Empirical analysis of the relationship between electricity demand and economic uncertainty
Akarsu, Gülsüm; Gaygısız Lajunen, Esma; Department of Electrical and Electronics Engineering (2013)
The determination of the factors that influence electricity demand and the estimation of price and income elasticities are very crucial for both effective policies and consistent demand projections. The purposes of this dissertation are to investigate the determinants of electricity demand, to obtain the price and income elasticities, and to examine the effect of economic uncertainty/volatility on the electricity demand. We model electricity demand as a function of electricity price, income, urbanization ra...
Stochastic wind-thermal generation coordination for Turkish day-ahead electricity market /
Aydoğdu, Aycan; Güven, Ali Nezih; Tör, Osman Bülent; Department of Electrical and Electronics Engineering (2014)
Uncertainties in wind power forecast, day-ahead and imbalance prices for the next day possess a great deal of risk to the profit of generation companies (GENCOs) participating in a day-ahead electricity market. GENCOs are exposed to imbalance penalties in the balancing market for any mismatch between their day-ahead power bids and real-time generations. Proper coordination of wind generation with thermal generation reduces this risk associated with wind uncertainty. This thesis proposes an optimal bidding a...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Yörükoğlu, “Mathematical modeling and solution approaches for balancing Turkish electricity day ahead market,” M.S. - Master of Science, Middle East Technical University, 2015.