Flexibility in the context of a cellular system model

Decarbonization requires the integration of many small decentralized energy resources. In particular, these decentralized energy resources have to provide flexibility to the energy system. In this paper, we suggest a cellular approach to describe the energy system and propose mechanisms for the exchange of flexibility in a cellular energy system. For this purpose, we break down the exchange of flexibility into four dimensions: The flexibility offer, the flexibility retrieval signal, the transmission path of the retrieval signal, and the responsibility for the execution of the retrieval signal. The paper discusses possible specificities of these dimensions and explains how these can be combined into different mechanisms to integrate the flexibility of decentralized energy resources.

[1]  Christof Weinhardt,et al.  Flexibility Procurement for EV Charging Coordination , 2015 .

[2]  Dorothea Wagner,et al.  How much demand side flexibility do we need?: Analyzing where to exploit flexibility in industrial processes , 2018, e-Energy.

[3]  Kai Heussen,et al.  Unified System-Level Modeling of Intermittent Renewable Energy Sources and Energy Storage for Power System Operation , 2012, IEEE Systems Journal.

[4]  Jan Dimon Bendtsen,et al.  A taxonomy for modeling flexibility and a computationally efficient algorithm for dispatch in Smart Grids , 2013, 2013 American Control Conference.

[5]  Esther Mengelkamp,et al.  A comprehensive modelling framework for demand side flexibility in smart grids , 2018, Computer Science - Research and Development.

[6]  Anna Scaglione,et al.  Reduced-Order Load Models for Large Populations of Flexible Appliances , 2015, IEEE Transactions on Power Systems.

[7]  Goran Andersson,et al.  Analyzing operational flexibility of electric power systems , 2014 .

[8]  Hartmut Schmeck,et al.  Modeling flexibility using artificial neural networks , 2018 .

[9]  Nico Keyaerts,et al.  How to Engage Consumers in Demand Response: A Contract Perspective , 2013 .

[10]  H.-M. Groscurth,et al.  Modeling of energy-services supply systems , 1995 .

[11]  Christof Weinhardt,et al.  The role of energy storage in local energy markets , 2017, 2017 14th International Conference on the European Energy Market (EEM).

[12]  Julian Huber,et al.  Engineering Smart Market Platforms for Market Based Congestion Management , 2018, e-Energy.

[13]  Hartmut Schmeck,et al.  Definition, Modeling, and Communication of Flexibility in Smart Buildings and Smart Grid , 2017 .

[14]  Christof Weinhardt,et al.  Increasing the efficiency of local energy markets through residential demand response , 2018, Energy Inform..

[15]  Pierluigi Siano,et al.  Demand response and smart grids—A survey , 2014 .

[16]  Manuel A. Matos,et al.  Flexibility products and markets: Literature review , 2018 .

[17]  Christof Weinhardt,et al.  Waiting for the sun - can temporal flexibility in BEV charging avoid carbon emissions? , 2018 .

[18]  Ralf Mikut,et al.  Auction Design to Use Flexibility Potentials in the Energy - Intensive Industry , 2018, 2018 15th International Conference on the European Energy Market (EEM).

[19]  Christof Weinhardt,et al.  Goal Framing in Smart Charging - Increasing BEV Users' Charging Flexibility with Digital Nudges , 2019, ECIS.

[20]  Peter Palensky,et al.  Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.

[21]  Daniel Stetter,et al.  Flexibility Definition for Smart Grid Cells in a Decentralized Energy System , 2018, SMARTGREENS.