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Published September 2015 | public
Journal Article

Distributed power flow loss minimization control for future grid


In this paper, a novel decentralized algorithm is proposed to minimize power flow loss in a large-scale future grid connecting with many real-time-distributed generation systems by which power flows bi-directionally. The DC-power loss at each link is defined as the product of resistance and the square of current that can be considered as a quadratic flow cost. We employ the notion of tie-sets that reduces the complexity of the power flow loss problem by dividing a power network into a set of loops that forms a linear vector space on which the power loss problem can be formulated as a convex optimization problem. As finding a solution in each tie-set enables global optimization, we realize parallel computing within a system of independent tie-sets by integrating autonomous agents. Simulation results demonstrate the minimization of the power loss on every link by iteratively optimized power flows and show the superiority against the traditional centralized optimization scheme.

Additional Information

© 2014 John Wiley & Sons, Ltd. Received 24 December 2013; Revised 28 February 2014; Accepted 7 April 2014. The authors would like to thank Prof. Steven Low in EE and CMS at Caltech for his invaluable comments and suggestions.

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October 24, 2023