Page 35 - European Energy Innovation - winter 2017 publication
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Winter 2017 European Energy Innovation  35

                                                                                              COMMUNICATION

FHP

Dynamic Coalitions of distribution grid connected Power
to Heat resources providing local and system level services

The FHP – Flexible Heat and Power project develops a
standards-based multi-stakeholder multi-agent platform
that enables the trading of flexibility provided by Heat
Pumps. The focus is on heat pumps in buildings (residential,
commercial, industrial), as well as heat pumps associated
with a district level – seasonal – heat storage solution
provided by ECOVAT. The prime selected business use
cases relate to the mitigation of local and system level
RES curtailment which is undesirable from societal and
environmental point of view, and forms a barrier for
increased RES investments. But the developed platform is
capable of supporting other business use cases as well, both
in the Day-Ahead /Intra-Day and the real-time time frame.

The work in the project is organized around four pillars.

Pillar 1: Dynamic Coalition Manager at the heart of a                             Pillar 3: Optimal flex dispatch solution
standard-based Multi-Agent System                                                 Based on forecasts of load and (RES) generation, and a
The Dynamic Coalition Manager is a specialization of the                          local grid model, the DSO performs an analysis on whether,
aggregator role. It performs location aware aggregation                           where and when local grid problems can be expected. This
of Power-to-Heat flexibility provided by buildings and the                         results in a flex request formulation towards the Dynamic
ECOVAT, and offers this to the DSO for local technical                            Coalition Manager. This flex request contains information
RES curtailment mitigation, or the BRP for economic RES                           on the minimal required flex activations (e.g. load shifting)
curtailment mitigation. There is a bi-directional information                     that are needed to prevent the forecasted problem, as well
exchange with the flex providers: the latter provide                               as constraints for the acceptable load shifting solutions.
information on their optimal baseline consumption plan and                        The Dynamic Coalition Manager(s) determine an optimal
available flex with expected activation cost, and the former                       flex dispatching plan for each of its available flex resources
communicates the activation decision which is a plan for the                      that adheres to the flex request, using information on the
next n timesteps. The pool of resources that can be used                          available flexibility and cost of activation of its current
by the DCM is dynamic, i.e. flex providers can decide freely                       dynamic coalition.
when and to whom (if there are multiple DCMs) they offer
their flex.                                                                        Pillar 4: Grid Flexible Heatpump
                                                                                  Currently heatpumps are primarily designed for efficiency,
Pillar 2: Human expert-free multi-zone modelling of                               not for offering flexibility services. Using them for flexibility
dynamic thermal behaviour                                                         services typically is done in an indirect manner, forcing them
To determine the optimal baseline consumption pattern as                          into a certain power consumption regime based on their
well as the available flexibility, a combination of grey-box                       heating curves and sensor overrides. In the FHP project
thermal modelling with machine-learning and optimization                          we explore and prototype ways to control heatpumps in a
algorithms is used. Specifically, a methodology is                                 direct manner in relation to the desired consumption profile.
developed that creates high quality multi-zone models that                        Besides, we will analyse how to increase their flexible
learn the amount of relevant zones, their adjacency and their                     operation without impacting their lifetime or safety. ●
relevant parameters in an automated data driven manner
without requiring human expert intervention. This will
provide a replicable solution that can be easily deployed.

Partners

                                      This project has received funding from the  Contact Details:
                                      European Union’s Horizon 2020 research
                                      and innovation programme under grant        Web: www.fhp-h2020.eu
                                      agreement No 731231                         Email: chris.caerts@vito.be

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