Extended Residential Power Management Interface for Flexibility Communication and Uncertainty Reduction for Flexibility System Operators

Felix Heider, Amra Jahic, Maik Plenz and Detlef Schulz
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Felix Heider: Department of Electrical Power Systems, Helmut Schmidt University, Holstenhofweg 85, 22043 Hamburg, Germany
Amra Jahic: Department of Electrical Power Systems, Helmut Schmidt University, Holstenhofweg 85, 22043 Hamburg, Germany
Maik Plenz: Department of Electrical Power Systems, Helmut Schmidt University, Holstenhofweg 85, 22043 Hamburg, Germany
Detlef Schulz: Department of Electrical Power Systems, Helmut Schmidt University, Holstenhofweg 85, 22043 Hamburg, Germany

Energies, 2022, vol. 15, issue 4, 1-23

Abstract: The high importance of demand-side management for the stability of future smart grids came into focus years ago and is today undisputed among a wide spectrum of energy market participants, and within the research community. The increasing development of communication infrastructure, in tandem with the rising transparency of power grids, supports the efforts for deploying demand-side management applications. While it is then accepted that demand-side management will yield positive contributions, it remains challenging to identify, communicate, and access available flexibility to the flexibility managers. The knowledge about the system potential is essential to determine impacts of control and adjustment signals, and employ temporarily required demand-side flexibility to ensure power grid stability. The aim of this article is to introduce a methodology to determine and communicate local flexibility potential of end-user energy systems to flexibility managers for short-term access. The presented approach achieves a reliable calculation of flexibility, a standardized data aggregation, and a secure communication. With integration into an existing system architecture, the general applicability is outlined with a use case scenario for one end-user energy system. The approach yields a transparent short-term flexibility potential within the flexibility operator system.

Keywords: power management system; flexibility calculation; flexibility manager; smart grid; smart energy system; electric vehicle (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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