Raghuraman Mudumbai, Soura Dasgupta, and Muhammad M. Rahman
consensus algorithms, distributed algorithms, smart grids, optimal dispatch
We present a distributed consensus based algorithm for optimal economic dispatch of power generators in a smart electric grid that allocates power between generators to meet load requirements at minimum total cost. We assume that the generators in the grid are connected by a communication network that forms a connected, potentially undirected, graph, and that the generators are able to exchange information regarding their marginal cost of generation with their neighbors. Additionally, the generators have access to the power imbalance in the grid that can be measured locally at each generator through grid frequency deviations. The gradient descent algorithm we propose globally uniformly asymptotically, erases the power imbalance, while minimizing the generation cost.
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