DocumentCode
2591230
Title
Reliability Stipulated Microgrid Architecture Using Particle Swarm Optimization
Author
Mitra, Joydeep ; Patra, Shashi B. ; Ranade, Satish J.
Author_Institution
Klipsch Sch. of Electr. & Comput. Eng., New Mexico State Univ., Las Cruces, NM
fYear
2006
fDate
11-15 June 2006
Firstpage
1
Lastpage
7
Abstract
Distributed energy resources have been receiving increasing attention over the past decade as alternatives to centralized generation. In the next few decades, the penetration of microgrids is expected to grow dramatically. The bulk of DERs will be integrated into existing distribution systems. To maximize the economic and reliability benefits of these installations, distributed systems will evolve into networked ´microgrids´. This paper describes a rational method of developing micro-grid architectures in a manner that maximizes the economic benefits of deploying the resources. The method consists of a particle swarm optimization (PSO) formulation that seeks to make the most economical connections that will satisfy the stipulated reliability criteria. This paper describes the method and its implementation, and illustrates it by means of examples. The validation of the method using a rigorous dynamic programming approach, is also outlined
Keywords
energy resources; particle swarm optimisation; power distribution economics; power distribution reliability; power grids; distributed energy resources; distribution systems; economic benefit; microgrid architecture; microgrids; particle swarm optimization; reliability; Computer architecture; Density estimation robust algorithm; Energy resources; Particle swarm optimization; Power engineering and energy; Power engineering computing; Power generation economics; Power system reliability; Power system simulation; Reliability engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
Conference_Location
Stockholm
Print_ISBN
978-91-7178-585-5
Type
conf
DOI
10.1109/PMAPS.2006.360256
Filename
4202268
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