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Abstract
Distribution system analysis and design has experienced a gradual development over the past three decades. The increasing power of computers now allows for managing the large volumes of data and other obstacles inherent to distribution system studies. A variety of sophisticated optimization methods, which were impossible to conduct in the past, have been developed and successfully applied to distribution systems.
Voltage unbalance is regarded as a power quality problem of significant concern at the electricity distribution level. Although the voltages are quite well balanced at the generation and transmission levels but the voltages at the utilization level can become unbalanced due to the unequal system impedances and the unequal distribution of single-
phase loads.
Due to single-phase loads, two-phase loads, unbalanced three-phase loads, and unbalanced impedances in the electrical distribution system, the distribution system operates in an unbalanced fashion. Unbalanced phase loading is perhaps the most important cause of
unbalanced operations during normal conditions.
Among the many procedures that deal with making decisions about the state and better operation of a distribution system, the presented study will address a phase balancing algorithm using ”Simulated annealing” which recommends re-phasing of single laterals in a radial distribution system in order to improve imbalances at various balance points locations. Phase balancing calculations are based on circuit loss information and current
magnitudes that are calculated from a Matlab simulation model. The phase balancing algorithm is designed to handle time-varying loads when evaluating phase moves that will result in improved circuit losses over all load points.