Title :
A Global Decomposition Algorithm for Reliability Constrained Generation Planning and Placement
Author :
Jirutitijaroen, Panida ; Singh, Chanan
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX
Abstract :
This paper presents a method of deciding the best placement of additional generation for long term generation adequacy planning in multi-area power systems. The approach uses evaluation of the prospective scenarios of additional generation, and tie-lines. Maximum number of additional generators in each area will be determined from the cost with respect to overall budget constraint. The selection criterion is based on improvement in system reliability after unit additions. The reliability indices of different generation combinations will be evaluated utilizing global decomposition approach. Instead of making direct comparison after global decomposition is performed, this paper proposes an algorithm that combines comparison and decomposition phase for better computational efficiency. The best combination will yield maximum reliability with acceptable cost
Keywords :
power generation planning; power generation reliability; budget constraint; generation planning; generator placement; global decomposition algorithm; multiarea power systems; power system reliability; Costs; Mars; Monte Carlo methods; Power generation; Power system analysis computing; Power system modeling; Power system planning; Power system reliability; Power system simulation; Power transmission lines; Global decomposition; generation planning; multi-area power systems; reliability;
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
Conference_Location :
Stockholm
Print_ISBN :
978-91-7178-585-5
DOI :
10.1109/PMAPS.2006.360434