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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Veröffentlicht in:	IEEE transactions on smart grid Jg. 6; H. 4; S. 1893 - 1903
Hauptverfasser:	Hug, Gabriela, Kar, Soummya, Chenye Wu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2015
Schlagworte:	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
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Abstract	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.
AbstractList	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.
Author	Chenye Wu Kar, Soummya Hug, Gabriela
Author_xml	– sequence: 1 givenname: Gabriela surname: Hug fullname: Hug, Gabriela email: ghug@ece.cmu.edu organization: Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA – sequence: 2 givenname: Soummya surname: Kar fullname: Kar, Soummya organization: Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA – sequence: 3 surname: Chenye Wu fullname: Chenye Wu organization: Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
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Snippet	Distributed energy resources and demand-side management are expected to become more prevalent in the future electric power system. Coordinating the increased...
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SubjectTerms	Consensus + innovations algorithm Cost function Distributed algorithms distributed optimization economic dispatch Generators Microgrids multistep optimization Technological innovation
Title	Consensus + Innovations Approach for Distributed Multiagent Coordination in a Microgrid
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