Commercial Operators Relevant Results


No. WP Result description Benefits Innovation content 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;) to reach insights over different dimensions of SGAM (Smart Grid Architecture Model). See Deliverables D2.1 – D2.2 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.

SEI

Francisco Ramos

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 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.

ICCS

Aris Dimeas

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 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

Aris Dimeas

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 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

Aris Dimeas

5 3 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 D3.1 – D3.2 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

Rene Kamphuis

6 2 Qualification of a PowerMatcher variant for trading load and generation flexibility within a congested, physical part of the electricity network with a classical PowerMatcher strategy serving the total VPP (virtual power plant).serving the total VPP (virtual power plant). Proof-of-concept for the application of electricity supply-demand matching for a heat-pump/micro-CHP/battery charger future distribution network. See Deliverables D2.1 – D2.2 The mechanism enables getting a very fast demand response from electricity prosumers within a confined part of a VPP for resolving a local congestion problem (implementing USEF code yellow) The mechanism uses a hybrid, micro-economic agent-based approach in a heterarchic setting. The VPP is re-configured by having one or more elementary cells with different agent-based market algorithms act depending upon an operational status of the network. After the event, the cell is added to the VPP again.

TNO

Rene Kamphuis

7 3 Validation and provision of end users flexibility opportunities (LV & MV level),
From the lowest levels of the distribution grid, technical validations of end users flexibility offers have to be performed by the DSO, before the aggregation process. See Deliverables D3.1 – D3.2
Ensure the DSO that any activation of available flexibility opportunities for constraint management will not endanger the overall system and create other voltage deviations or current congestions ·     Pre-processing before aggregation
·   Provisioning and assessing the flexibility opportunities capacity
·     Ensuring the DSO that any activation of the validated offers will not affect the security and the operational reliability of the network

GINP

Raphael Caire

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
 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

GINP

Raphael Caire

10 3 Short term scheduling: the flexibilities of production and demand are exploited to power balancing, with the help of gossip algorithm. See Deliverables D3.1 – D3.2 For DSO: avoid long power transmission,  reduce network losses, eliminate congestions, and minimize control cost
For Prosumer: economic return from flexibility offers.
Completely decentralized control mechanism with fast convergence and good solutions.

ICCS

Aris Dimeas

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 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.

ICCS

Aris Dimeas

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 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

UNI Kassel

Martin Braun

18 5 Common package design view (from application-level to physical communication layer level)  on how to realise agent-based smart grid applications in the grid operation and commercial domain. See Deliverables D5.1 – D5.2 Increased interoperability and reuse of software components by having common  semantics and platforms Industrially validated class model incorporating forecasting, persistence, flexibility, coordination and configuration up to the lowest grid levels

TNO

Rene Kamphuis

27 6 Results of viability analysis:
· Performance indicators aligned with grid management objectives;
· Criticalities;
· Technological constraints;
· Time to market and costs;
· Added value and competitiveness. See Deliverables D6.1
The results of this viability analysis will give valuable information to SEI for future developments. ESR, SEA and HEDNO will also be able to assess if this approach is valid and profitable. In general, all the partners can use these results as key to orient their research roadmap. Experience from the application of new smart grid solutions to a wide range of environments

SEI

Francisco Ramos

28 6 Industrialization roadmap, including:
· Status of DREAM technological maturity;
· -Identification of main functions required for commercial readiness;
· Path to real commercial maturity. Activities, timing and cost.
Documented in D6.3  “Industrialisation roadmap”, PU Deliverable. See Deliverables D6.1 – D6.3
The industrialisation roadmap is providing the path to generate possible products from DREAM results. DSOs and TSOs will also get relevant information that can be used to evaluate this products for their particular scenario New views on agent based distribution grid management

SEI

Francisco Ramos