Energy Investment Planning at a Private Company: A Mathematical Programming-Based Model and Its Application in Turkey

被引:10
作者
Agrali, Semra [1 ]
Terzi, Fulya [2 ]
Canakoglu, Ethem [3 ]
Adiyeke, Esra [2 ]
Arikan, Yildiz [4 ]
机构
[1] MEF Univ, Dept Ind Engn, TR-34396 Istanbul, Turkey
[2] Bogazici Univ, TR-34342 Istanbul, Turkey
[3] Bahcesehir Univ, TR-34349 Istanbul, Turkey
[4] Kemerburgaz Univ, TR-34218 Istanbul, Turkey
关键词
Generation expansion planning; investment planning; mixed-integer linear programming; stochastic optimization; GENERATION EXPANSION; CARBON CAPTURE; ELECTRICITY MARKET; FOSSIL-FUELS; STORAGE; TRANSMISSION; PRICES; CO2;
D O I
10.1109/TPWRS.2017.2676819
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider a mid-sized private electricity generating company that plans to enter the market that is partially regulated. There is a cap and trade system in operation in the industry. There are nine possible power plant types that the company considers to invest on through a planning horizon. Some of these plants may include a carbon capture and storage technology. We develop a stochastic mixed-integer linear program for this problem where the objective is to maximize the expected net present value of the profit obtained. We include restrictions on the maximum and minimum possible amount of investment for every type of investment option. We also enforce market share conditions such that the percentage of the total investments of the company over the total installed capacity of the country stay between upper and lower bounds. Moreover, in order to distribute the investment risk, the percentage of each type of power plant investment is restricted by some upper bound. We tested the model for a hypothetical company operating in Turkey. The results show that the model is suitable to be used for determining the investment strategy of the company.
引用
收藏
页码:4180 / 4187
页数:8
相关论文
共 18 条
[1]   European CO2 prices and carbon capture investments [J].
Abadie, Luis M. ;
Chamorro, Jose M. .
ENERGY ECONOMICS, 2008, 30 (06) :2992-3015
[2]   Carbon capture and storage from fossil fuels and biomass -: Costs and potential role in stabilizing the atmosphere [J].
Azar, Christian ;
Lindgren, Kristian ;
Larson, Eric ;
Moellersten, Kenneth .
CLIMATIC CHANGE, 2006, 74 (1-3) :47-79
[3]   Generation Expansion Planning by MILP considering mid-term scheduling decisions [J].
Bakirtzis, Grigorios A. ;
Biskas, Pandelis N. ;
Chatziathanasiou, Vasilis .
ELECTRIC POWER SYSTEMS RESEARCH, 2012, 86 :98-112
[4]   Power Generation Expansion Planning Model Towards Low-Carbon Economy and Its Application in China [J].
Chen, Qixin ;
Kang, Chongqing ;
Xia, Qing ;
Zhong, Jin .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2010, 25 (02) :1117-1125
[5]   Modelling and forecasting fossil fuels, CO2 and electricity prices and their volatilities [J].
Garcia-Martos, Carolina ;
Rodriguez, Julio ;
Jesus Sanchez, Maria .
APPLIED ENERGY, 2013, 101 :363-375
[6]   Carbon capture and storage [J].
Gibbins, Jon ;
Chalmers, Hannah .
ENERGY POLICY, 2008, 36 (12) :4317-4322
[7]   Coordinated generation and transmission expansion planning in deregulated electricity market considering wind farms [J].
Hemmati, Reza ;
Hooshmand, Rahmat-Allah ;
Khodabakhshian, Amin .
RENEWABLE ENERGY, 2016, 85 :620-630
[8]  
Jin S, 2014, IEEE T POWER SYST, V29, P132, DOI 10.1109/TPWRS.2013.2280085
[9]   Strategic Generation Investment Using a Complementarity Approach [J].
Kazempour, S. Jalal ;
Conejo, Antonio J. ;
Ruiz, Carlos .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (02) :940-948
[10]   Comparison of extended mean-reversion and time series models for electricity spot price simulation considering negative prices [J].
Keles, Dogan ;
Genoese, Massimo ;
Moest, Dominik ;
Fichtner, Wolf .
ENERGY ECONOMICS, 2012, 34 (04) :1012-1032