Please use this identifier to cite or link to this item: http://hdl.handle.net/11401/65964
Title: Phase balancing algorithms
Authors: Wang, Kai.
Skiena, Steven S.
Robertazzi, Thomas G.
Preservation Department, Stony Brook University Libraries.
Cataloging & Metadata Department, Stony Brook University Libraries.
Keywords: Genetic algorithms.
Simulated annealing (Mathematics).
Greedoids.
Backtrack programming.
Dynamic programming.
Issue Date: 2012
Publisher: Stony Brook University. College of Engineering and Applied Sciences.
Stony Brook University.
Series/Report no.: CEAS Technical report;837
Abstract: Unbalanced loads on feeders increase power system investment and operating costs. Single phase lateral load phase swapping is one of the popular methods to balance such systems. In this paper, six algorithms for phase balancing are studied, including a genetic algorithm, simulated annealing, a greedy algorithm, exhaustive search, backtracking algorithm a dynamic programming algorithm. The novel dynamic algorithm in particular produces optimal solutions for this NP-complete problem efficiency.
Description: leave(s) : ill; 28 cm.
URI: http://hdl.handle.net/1951/57718
http://hdl.handle.net/11401/65964
Appears in Collections:Technical Reports

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