Abstract
Economic and environmental factors, such as energy crisis, distributed energy resources, communication network, etc., endow modern energy network with dynamic and distributed natures. This trend inevitably raises technical and theoretical challenges in energy management and smart grid operation. Recently, economic dispatch in smart grids has been attracting more and more attention [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15]. Although some control and optimization algorithms are available, a large number of distributed generators in smart grids further increase the diversification of the communication networks. Hence, how to achieve the optimal dispatch in the dynamic and changeful environment is worthy of further analysis.
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