An Improved Binary Particle Swarm Optimization for Unit Commitment Problem

2010 ◽  
Author(s):  
Jin Lang ◽  
Lixin Tang ◽  
Zhongwei Zhang
Keyword(s):  
Particle Swarm Optimization ◽  
Unit Commitment ◽  
Particle Swarm ◽  
Binary Particle Swarm Optimization ◽  
Unit Commitment Problem ◽  
Swarm Optimization ◽  
Commitment Problem

scholarly journals Operation cost reduction in unit commitment problem using improved quantum binary PSO algorithm

2020 ◽  
Vol 10 (2) ◽  
pp. 1149 ◽  
Author(s):  
Ali Nasser Hussain ◽  
Ali Abduladheem Ismail
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Cost Reduction ◽  
Unit Commitment ◽  
Particle Swarm ◽  
Total Power ◽  
Binary Particle Swarm Optimization ◽  
Unit Commitment Problem ◽  
Swarm Optimization ◽  
Operation Cost

Unit Commitment (UC) is a nonlinear mixed integer-programming problem. UC is used to minimize the operational cost of the generation units in a power system by scheduling some of generators in ON state and the other generators in OFF state according to the total power outputs of generation units, load demand and the constraints of power system. This paper proposes an Improved Quantum Binary Particle Swarm Optimization (IQBPSO) algorithm. The tests have been made on a 10-units simulation system and the results show the improvement in an operation cost reduction after using the proposed algorithm compared with the ordinary Quantum Binary Particle Swarm Optimization (QBPSO) algorithm.

Solution to profit based unit commitment problem using particle swarm optimization

2010 ◽  
Vol 10 (4) ◽  
pp. 1247-1256 ◽  
Author(s):  
I. Jacob Raglend ◽  
C. Raghuveer ◽  
G. Rakesh Avinash ◽  
N.P. Padhy ◽  
D.P. Kothari
Keyword(s):  
Particle Swarm Optimization ◽  
Unit Commitment ◽  
Particle Swarm ◽  
Unit Commitment Problem ◽  
Swarm Optimization ◽  
Commitment Problem
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