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Energies 2017, 10(2), 235; doi:10.3390/en10020235

Distributed Economic Dispatch of Virtual Power Plant under a Non-Ideal Communication Network

1
College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
2
Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
3
College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
*
Author to whom correspondence should be addressed.
Academic Editor: José Gabriel Oliveira Pinto
Received: 25 October 2016 / Revised: 15 January 2017 / Accepted: 10 February 2017 / Published: 16 February 2017
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Abstract

A virtual power plant (VPP) is aimed to integrate distributed energy resources (DERs). To solve the VPP economic dispatch (VPED) problem, the power supply-demand balance, power transmission constraints, and power output constraints of each DER must be considered. Meanwhile, the impacts of communication time delays, channel noises, and the time-varying topology on the communication networks cannot be ignored. In this paper, a VPED model is established and a distributed primal-dual sub-gradient method (DPDSM) is employed to address the presented VPED model. Compared with the traditional centralized dispatch, the distributed dispatch has the advantages of lower communication costs and stronger system robustness, etc. Simulations are realized in the modified IEEE-34 and IEEE-123 bus test VPP systems and the results indicate that the VPED strategy via DPDSM has the superiority of better convergence, more economic profits, and stronger system stability. View Full-Text
Keywords: distributed energy resources (DERs); distributed dispatch; virtual power plant (VPP); distributed primal-dual sub-gradient method (DPDSM); non-ideal communication network distributed energy resources (DERs); distributed dispatch; virtual power plant (VPP); distributed primal-dual sub-gradient method (DPDSM); non-ideal communication network
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Cao, C.; Xie, J.; Yue, D.; Huang, C.; Wang, J.; Xu, S.; Chen, X. Distributed Economic Dispatch of Virtual Power Plant under a Non-Ideal Communication Network. Energies 2017, 10, 235.

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