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.

An improved binary particle swarm optimization for unit commitment problem

2009 ◽  
Vol 36 (4) ◽  
pp. 8049-8055 ◽  
Author(s):  
Xiaohui Yuan ◽  
Hao Nie ◽  
Anjun Su ◽  
Liang Wang ◽  
Yanbin Yuan
Keyword(s):  
Particle Swarm Optimization ◽  
Unit Commitment ◽  
Particle Swarm ◽  
Binary Particle Swarm Optimization ◽  
Unit Commitment Problem ◽  
Swarm Optimization ◽  
Commitment Problem

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

scholarly journals A binary particle swarm optimization approach for power system security enhancement

2022 ◽  
Vol 12 (2) ◽  
pp. 1929
Author(s):  
Padmanabha Raju Chinda ◽  
Ragaleela Dalapati Rao
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Optimal Power Flow ◽  
Cost Minimization ◽  
Particle Swarm ◽  
System Security ◽  
Binary Particle Swarm Optimization ◽  
Optimization Approach ◽  
Power System Security ◽  
Swarm Optimization

Improvement of power system security manages the errand of making healing move against conceivable system overloads in the framework following the events of contingencies. Generation re-dispatching is answer for the evacuation of line overloads. The issue is the minimization of different goals viz. minimization of fuel cost, minimization of line loadings and minimization of overall severity index. Binary particle swarm optimization (BPSO) method was utilized to take care of optimal power flow issue with different targets under system contingencies. The inspiration to introduce BPSO gets from the way that, in rivalry with other meta-heuristics, BPSO has demonstrated to be a champ by and large, putting a technique as a genuine alternative when one needs to take care of a complex optimization problem. The positioning is assessed utilizing fuzzy logic. Simulation Results on IEEE-14 and IEEE-30 bus systems are presented with different objectives.

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