Phase balancing algorithms

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Phase Balancing Algorithms - tech report.pdf (670.34 KB)

Issue Date

2012-10-11

Authors

Wang, Kai.
Skiena, Steven S.
Robertazzi, Thomas G.

Publisher

Stony Brook University. College of Engineering and Applied Sciences.

URI

http://hdl.handle.net/1951/57718

Keywords

Computer programming. , Genetic algorithms. , Simulated annealing (Mathematics). , Greedoids. , Backtrack programming. , Dynamic programming.

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.

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Technical Reports [SBU]

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Archived web content