Consensus + Innovations Approach for Distributed Multiagent Coordination in a Microgrid

Distributed energy resources and demand-side management are expected to become more prevalent in the future electric power system. Coordinating the increased number of grid participants in an efficient and reliable way is going to be a major challenge. A potential solution is the employment of a dis...

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Bibliographic Details
Published in:IEEE transactions on smart grid Vol. 6; no. 4; pp. 1893 - 1903
Main Authors: Hug, Gabriela, Kar, Soummya, Chenye Wu
Format: Journal Article
Language:English
Published: IEEE 01.07.2015
Subjects:
Consensus + innovations algorithm
Cost function
Distributed algorithms
distributed optimization
economic dispatch
Generators
Microgrids
multistep optimization
Technological innovation
multistep optimization
distributed optimization
economic dispatch
Consensus + innovations algorithm
ISSN:1949-3053, 1949-3061
Online Access:Get full text
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Summary:Distributed energy resources and demand-side management are expected to become more prevalent in the future electric power system. Coordinating the increased number of grid participants in an efficient and reliable way is going to be a major challenge. A potential solution is the employment of a distributed energy management approach, which uses intelligence distributed over the grid to balance supply and demand. In this paper, we specifically consider the situation in which distributed resources and loads form microgrids within the bulk power system in which the load is supplied by local generation. A distributed energy management approach based on the consensus + innovations method is presented and used to coordinate local generation, flexible load, and storage devices within the microgrid. The approach takes advantage of the fact that, at the optimal allocation settings, the marginal costs given as a function of the power output/consumption need to be equal for all nonbinding network resources. Solutions for single time step, as well as multitime step optimization including intertemporal constraints, are presented.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2015.2409053