Load Balancing Using a Best-Path-Updating Information-Guided Ant Colony Optimization Algorithm
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Abstract:
Abstract: Load balancing and phase balancing are important complement to reconfiguration of the feeder and the network.In the distribution automation ,these issues must be solved continuously and simultaneously to ensure the optimal performance of a distribution network.Distribution network imbalance has various consequences such as increase in power losses, voltage drop,cost increase,etc.In this paper,the problem of phase balancing of distribution transformers in a radial structure and load balancing during a MV feeder between the special feeder at the surface is formulated as flow equilibrium optimization problems due to different constraints.In fact,the problem of reconfiguration of the power supply and the grid is formulated as a problem of minimizing power losses due to its importance for controlling the opening and closing of sections and switches.The results showed that the ant colony optimization algorithm approach better than other proposed methods and successfully using real data obtained from the local municipal electricity supplier.From a practical point of view ,these methods can be very effective,because these methods usually have a very long runtime.The optimal ant colony method is more suitable and offers a better response than the neural network.
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Journal title
volume 7 issue 2
pages 37- 45
publication date 2019-03
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