Title :
Dynamic Programming Approach for Large Scale Unit Commitment Problem
Author :
Singhal, Prateek Kumar ; Sharma, R. Naresh
Author_Institution :
Electr. Eng. Dept., Nat. Inst. of Technol., Hamirpur, India
Abstract :
In this paper, the large scale Unit Commitment (UC) problem has been solved using Dynamic Programming (DP) and the test results for conventional DP, Sequential DP and Truncation DP are compared with other stochastic techniques. The commitment is such that the total cost is minimal. The total cost includes both the production cost and the costs associated with start-up and shutdown of units. DP is an optimization technique which gives the optimal solution.
Keywords :
dynamic programming; large-scale systems; power generation dispatch; power generation economics; power generation scheduling; stochastic processes; conventional DP; dynamic programming approach; large scale unit commitment problem; optimization technique; production cost; sequential DP; start-up cost; stochastic technique; total cost; truncation DP; Central Processing Unit; Dynamic programming; Generators; Optimization; Production; Schedules; Spinning; binary particle swarm optimization; dynamic programming; evolutionary programming; genetic algorithm; lagrange relaxation; simulated annealing; unit commitment;
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2011 International Conference on
Conference_Location :
Katra, Jammu
Print_ISBN :
978-1-4577-0543-4
Electronic_ISBN :
978-0-7695-4437-3
DOI :
10.1109/CSNT.2011.152