DocumentCode
1633985
Title
Reliability constrained unit commitment with electric vehicle to grid using Hybrid Particle Swarm Optimization and Ant Colony Optimization
Author
Ghanbarzadeh, Taraneh ; Goleijani, Sassan ; Moghaddam, Mohsen Parsa
Author_Institution
Fac. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran, Iran
fYear
2011
Firstpage
1
Lastpage
7
Abstract
Vehicle-to-grid (V2G) technology as a new generation of Energy Storage Units (ESUs) is receiving an increasing research attention. Because of the capability of reducing dependencies on small expensive units and optimizing the fluctuation of load curve, they can play an important role in power system. This paper proposes a novel approach for considering Gridable Vehicles (GVs) of V2G in a short-term unit commitment problem. Inclusion of V2G in the problem could result some reliability challenges. Some contributed reliability indices are taken into account in order to maintain the reliability in an acceptable level. The unit commitment problem is solved by a Hybrid Particle Swarm Optimization and Ant Colony Optimization. The results show that the total operation cost of the system increases as the allowed reliability limits decrease. The efficiency of the proposed method in near-optimal unit commitment solution can also be concluded.
Keywords
electric vehicles; energy storage; particle swarm optimisation; power generation dispatch; power generation reliability; power generation scheduling; power grids; ant colony optimization; electric vehicle; energy storage units; gridable vehicles; hybrid particle swarm optimization; load curve fluctuation; power system; reliability constrained unit commitment; short-term unit commitment problem; vehicle-to-grid technology; Batteries; Optimization; Particle swarm optimization; Power system reliability; Reliability; Vehicles; Ant colony optimizations (ACO); Vehicles to Grid (V2G); hybrid particle swarm optimization (HPSO); reliability constraints; unit commitment (UC);
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location
San Diego, CA
ISSN
1944-9925
Print_ISBN
978-1-4577-1000-1
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PES.2011.6039696
Filename
6039696
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