Title :
Optimizing natural gas supply and energy portfolios of a generation company
Author :
Kittithreerapronchai, Oran ; Jirutitijaroen, Panida ; Kim, Sujin ; Prina, José
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
Abstract :
In a deregulated electricity market environment, a natural gas-fired generation company must manage its natural gas supply and construct energy portfolios by engaging in contracts to buy natural gas and generate electricity. The contracts protect the company from fluctuations in prices and demands, but provide minimal profits. The company may gain larger profits-and possible loses-by accessing natural gas spot and electricity pool markets. To capture such hedging decisions and the interactions between the natural gas and electricity markets, we formulate a Stochastic Programming model and study its benefits over an expected value problem. The stochastic model enables the company to optimize the electricity generation schedule and the natural gas consumption as well as to develop managerial insights.
Keywords :
natural gas technology; power generation economics; power markets; scheduling; stochastic programming; deregulated electricity market; electricity generation scheduling; energy portfolios; generation company; natural gas supply optimisation; natural gas-fired generation company; stochastic programming model; Contracts; Electricity supply industry; Electricity supply industry deregulation; Energy management; Environmental management; Load management; Natural gas; Portfolios; Power generation; Stochastic processes; Energy Portfolio; Natural Gas Supply Portfolio; Stochastic Programming; Value of the Stochastic Solution;
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5720-5
DOI :
10.1109/PMAPS.2010.5528265