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Distributed Consensus Based and Network Economic Control of Energy Internet Management

Distributed Consensus Based and Network Economic Control of Energy Internet Management

Yee-Ming Chen, Chung-Hung Hsieh
Copyright: © 2022 |Volume: 5 |Issue: 1 |Pages: 14
ISSN: 2572-4908|EISSN: 2572-4894|EISBN13: 9781683183174|DOI: 10.4018/IJFC.309140
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MLA

Chen, Yee-Ming, and Chung-Hung Hsieh. "Distributed Consensus Based and Network Economic Control of Energy Internet Management." IJFC vol.5, no.1 2022: pp.1-14. http://doi.org/10.4018/IJFC.309140

APA

Chen, Y. & Hsieh, C. (2022). Distributed Consensus Based and Network Economic Control of Energy Internet Management. International Journal of Fog Computing (IJFC), 5(1), 1-14. http://doi.org/10.4018/IJFC.309140

Chicago

Chen, Yee-Ming, and Chung-Hung Hsieh. "Distributed Consensus Based and Network Economic Control of Energy Internet Management," International Journal of Fog Computing (IJFC) 5, no.1: 1-14. http://doi.org/10.4018/IJFC.309140

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Abstract

Energy internet (EI) was proposed to improve the utilization of multiple energy and meet the growing demand for energy. This paper proposes the distributed consensus control algorithm combined with a multi-agent system (MAS) which is applied to distributed generators in the energy internet. By selecting the incremental cost (IC) of each generation unit as the consensus variable, the algorithm is able to solve the conventional centralized economic dispatch (ED) problem in a distributed scheduling manner. The proposed algorithm is veriðed in the MAS layer and through a simulation model of the EI network in the MATLAB software. Simulation results conclude that incremental cost converges to its optimal value whether load demand is varying or generators plug-and-play. Distributed consensus control algorithm can provide better service for EI, it is immune to topological variations and accommodate desired plug-and-play features, and it enables real-time modeling and simulation of complex power systems.

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