TSO relevant Results

NUMBER WP DESCRIPTION BENEFICIARIES BENEFITS INNOVATION CONTENT USER CONTACT PARTNER
1 2 A model for analyzing the economic viability of the DREAM concepts from different electricity market actors’ perspectives: combination of the techniques “Business Model analysis” (actor perspective, qualitative assessment; see White Paper Business and Economic Modeling) and “KPI analysis” (use case perspective; qualitative and quantitative assessment; see D 6.2) to reach insights over different dimensions of SGAM (Smart Grid Architecture Model).

See Deliverables D2.1 - D2.2

Prosumers, DSOs, TSOs, BRPs (balance responsible parties), Aggregators The solution introduces transparency regarding the economic changes and helps to evaluate the advantages of DREAM solutions to all parties that are involved in the DREAM market design The solution combines business model analysis (actor perspective) and key performance indicator analysis (use case perspective) in order to allow an adequate coverage (breadth and depth) for a smart grid project evaluation. SEA, Grenoble INP, DNV-GL HSG
2 2 Validated model for profitability assessment (data analytics) of DER/RES involvement on the Day-ahead wholesale market.

See Deliverables D2.1 - D2.2

Prosumers, BRPs (balance responsible parties) Business Analysis, barriers reduction toward DER large roll-out The output of the analysis claims that investing in DER by means of flexibility having reduced marginal cost of activation appears as the most suitable solution to pay-back the flexibility infrastructure by an involvement on the wholesale market. Doing so, the flexibility stays moreover still available for the supply of advanced ancillary services at the benefits of the System Operators. SEA, Grenoble, DNV-GL, ICCS, HEDNO, ICCS
3 2 Simulation tool: allows analysis of impact of price levels on user and producer behaviour and testing different pricing schemes and bid scenarios.

See Deliverables D2.1 - D2.2

Retailer, Energy Services Provider, DSO The managing entity could use this simple tool for ex post assessment of the impact of (smaller or greater) changes in the price levels on the behaviour of the entities, without having to solve a 4large-scale problem. This simple, yet transparent, tool quantifies the response of local resources to price signals. It allows for various pricing schemes to be tested, while taking into account the form of the local resources’ bid functions, which can also vary based on the type of day (e.g. weekday, weekend). ICCS, HEDNO, DNV-GL ICCS
4 2 Model of the interdependence in the decision-making process regarding electricity prices and volumes of diverse entities connected to the distribution network

See Deliverables D2.1 - D2.2

Retailer/Energy Services Provider/DSO The model facilitates the task of day-ahead management and functional integration of local resources connected to the distribution network by means of price signals. "The decisions of the managing entity regarding the price incentives to be announced are optimized by taking into account the response of various local resources to these prices. This feedback assists the managing entity in making informed decisions regarding the prices. Formulation of a bilevel programming problem" ICCS, HEDNO, DNV-GL ICCS
5 2 Qualification of PowerMatcher agent-based strategies to offer their momentary, primary process flexibility to current TSO and possibly future, DSO mediated imbalance markets as ramping power. This also is the first application of PowerMatcher technology in a large prosumer setting.

See Deliverables D2.1 - D2.2

Prosumers, DSOs, TSOs and BRPs (balance responsible parties). The strategy contributes to resolving conflicts between DSOs, TSOs and BRPs of using customer flexibility from the capacity and the energy viewpoint. Additionally, the bottom-up, autonomous way of delivering the flexibility adds to the usability within high DG-RES settings The solution uses an agent-mediated bottom-up approach with PowerMatcher based on micro-economic theory. Agents express their primary process status in a generic way by a bid curve. This is in contrast to most research directions that use a DSO-mediated top-down approach. Such an approach might interfere with primary process electricity consumption/generation requirements from the prosumers’ primary process’ and BRPs’ requirements for electricity consumption/generation TNO, SEA TNO
9 3 " Classification and pre-emption of flexibility offers: Classify validated flexibility offers by cost OR by efficiency (based on sensitivity) and pre-emption of flexibility offers to solve voltage deviations and current congestions "

See Deliverables D3.1 - D3.2

DSO, aggregators, prosumers Help the DSO to use in the best economical way the different flexibility opportunities in LV and MV grids, in order to prepare network congestion management " ·     Pre-processing before operation ·     Classifying validated flexibility opportunities ·     Pre-empting flexibility offers for local network constraint management and assessing the flexibility technical need " SEA GINP
11 3 Mapping from market trades to operational configurations: flexibility forecast is improved; the influence of communication failures and user uncertainties are dealt with.

See Deliverables D3.1 - D3.2

"DSO Customer" "For DSO: improve control robustness and reliability For customer: secure and reliable supply " "Distributed optimization models are used to assess improve forecast precision. The key parameters for reliability are identified and their sensitivities are evaluated." DNV-GL, ICCS ICCS
12 3 Practical implementation of the BEDW-traffic light concept to coordinate the grid operation and the market interaction.

See Deliverables D3.1 - D3.2

All DREAM partners, esp. Uni Kassel, field test sites Practical investigations in field tests and insight for future projects; Contribution to political discussion about future adaptions of grid codes Allows the coordination between markets and grid operation DNV-GL in the frame of integration with USEF UNI Kassel
15 3 "Offer frequency support flexibility for the TSO DSO can propose frequency support flexibility for the TSO by relying on small scale dispatchable ".

See Deliverables D3.1 - D3.2

TSOs & Producers "Propose frequency support at low cost to stabilize the network and thus help integration of Renewables Dynamic guarantee of availability of linear frequency-controlled reserve Fast load shedding capability Standard IEC 61850 Multi-DERs compliant " "·     Creating frequency drop control with DER ·     Aggregate and coordinate flexibilities in LV network compliant with AMI" GINP GINP
16 4 Online grid reconfiguration algorithm specialised for the optimal reconfiguration after faults in the distribution grid

See Deliverable D4.1

All DREAM partners, esp. Grenoble INP, field test sites Reconfiguration possible based on current grid state instead of precomputed solutions with global view point of possible secured feeder tie switches. Online grid reconfiguration algorithm specialised for the optimal reconfiguration after faults in the distribution grid using the DER flexibilities for re-energization maximization. UNI Kassel