Distributed model predictive control of energy systems in microgrids

This paper presents a flexible and modular control scheme based on distributed model predictive control (DMPC) to achieve optimal operation of decentralized energy systems in smart grids. The proposed approach is used to coordinate multiple distributed energy resources (DERs) in a low voltage (LV) microgrid and therefore, allow virtual power plant (VPP) operation. A sequential and iterative DMPC formulation is shown which incorporates global grid targets along with the local comfort requirements and performance indices. The preliminary results generated by the simulation of a studied case proves the benefits of applying such a control scheme to a benchmark low voltage microgrid.


Published in:
2016 Annual IEEE Systems Conference (SysCon), 1-6
Presented at:
2016 Annual IEEE Systems Conference (SysCon), Orlando, FL, USA, 18-21 April 2016
Year:
2016
Publisher:
IEEE
Keywords:
Laboratories:




 Record created 2017-01-24, last modified 2019-05-21


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