MyJournals Home  

RSS FeedsEnergies, Vol. 12, Pages 2335: An Improved DA-PSO Optimization Approach for Unit Commitment Problem (Energies)

 
 

18 june 2019 15:00:39

 
Energies, Vol. 12, Pages 2335: An Improved DA-PSO Optimization Approach for Unit Commitment Problem (Energies)
 




Solving the Unit Commitment problem is an important step in optimally dispatching the available generation and involves two stages—deciding which generators to commit, and then deciding their power output (economic dispatch). The Unit Commitment problem is a mixed-integer combinational optimization problem that traditional optimization techniques struggle to solve, and metaheuristic techniques are better suited. Dragonfly algorithm (DA) and particle swarm optimization (PSO) are two such metaheuristic techniques, and recently a hybrid (DA-PSO), to make use of the best features of both, has been proposed. The original DA-PSO optimization is unable to solve the Unit Commitment problem because this is a mixed-integer optimization problem. However, this paper proposes a new and improved DA-PSO optimization (referred to as iDA-PSO) for solving the unit commitment and economic dispatch problems. The iDA-PSO employs a sigmoid function to find the optimal on/off status of units, which is the mixed-integer part of obtaining the Unit Commitment problem. To verify the effectiveness of the iDA-PSO approach, it was tested on four different-sized systems (5-unit, 6-unit, 10-unit, and 26-unit systems). The unit commitment, generation schedule, total generation cost, and time were compared with those obtained by other algorithms in the literature. The simulation results show iDA-PSO is a promising technique and is superior to many other algorithms in the literature.


Del.icio.us Digg Facebook Google StumbleUpon Twitter
 
33 viewsCategory: Biophysics, Biotechnology, Physics
 
Energies, Vol. 12, Pages 2323: Influence Factors on Carbon Monoxide Accumulation in Biomass Pellet Storage (Energies)
Energies, Vol. 12, Pages 2336: Joint Balanced Routing and Energy Harvesting Strategy for Maximizing Network Lifetime in WSNs (Energies)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics

Use these buttons to bookmark us:
Del.icio.us Digg Facebook Google StumbleUpon Twitter


Valid HTML 4.01 Transitional
Copyright © 2008 - 2019 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Travel Photos Nachrichten Indigonet Finances Leer Mandarijn