Bi-level optimal dispatch in the Virtual Power Plant considering uncertain agents number

In smart grid, virtual power plant (VPP) is a novel solution to Distributed Energy Resources (DER) in the power grid. Same for traditional power plants, VPP should provide electricity generation to power grid according to the command electricity generation coming from power grid control center. Diff...

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Bibliographic Details
Published in:	Neurocomputing (Amsterdam) Vol. 167; pp. 551 - 557
Main Authors:	Yu, Jie, Jiao, Yiping, Wang, Xiaolong, Cao, Jinde, Fei, Shumin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.11.2015
Subjects:	Bi-level optimal dispatch Distributed optimization algorithm Hierarchical control architecture Uncertain agents number Virtual Power Plant (VPP) Uncertain agents number Distributed optimization algorithm Virtual Power Plant (VPP) Bi-level optimal dispatch Hierarchical control architecture
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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Summary:	In smart grid, virtual power plant (VPP) is a novel solution to Distributed Energy Resources (DER) in the power grid. Same for traditional power plants, VPP should provide electricity generation to power grid according to the command electricity generation coming from power grid control center. Different from traditional power plants, VPP controls geographically distributed DER agents, which aggregate various local DER, such as small-scale engines, turbines or storages. Moreover, the number of DER Agents in VPP probably changes in pace with DER Agents plug in and plug out. In this paper, a distributed optimization algorithm is projected to solve VPP bi-level optimal dispatch considering uncertain agents number. Simulation results show that the proposed algorithm can effectively solve bi-level optimal dispatch with changing lower agents.
ISSN:	0925-2312 1872-8286
DOI:	10.1016/j.neucom.2015.04.035