| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 703899 | Electric Power Systems Research | 2013 | 7 Pages |
Unbalanced loads on feeders increase power system investment and operating costs. Single-phase lateral loads 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 and a dynamic programming algorithm. The novel dynamic programming algorithm in particular produces optimal solutions for this NP-complete problem efficiently.
► Describes five combinatorial algorithms for the phase balancing problem. ► Provides a comparative evaluation of the algorithm. ► Describes a novel dynamic programming algorithm for the phase balancing problem which provides optimal results, is easy to program and is computationally efficient.
