Industry & ICT Relevant Results


No. WP Result description Benefits Innovation content Contact partner
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

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

13 4 Agent-based grid operation kit, based on Java, including XMPP and ZeroMQ communication between the agents, load flow, state estimation, and analysis tools. See Deliverables D4.1 Practical investigations, future projects:
allows detailed assessment and comparison between agent-based vs. centralised grid operation
Agent-based grid operation that is able to handle all sorts of problems that might occur

UNI Kassel

Martin Braun

14 4 Multi-objective contingency management for the real-time grid operation. See Deliverables D4.1 Allows flexible management of grids with a high penetration of prosumers Low and medium voltage optimization that is adaptable to the current grid situation as well as the requirements of the DSO

UNI Kassel

Martin Braun

16 4 Online grid reconfiguration algorithm specialised for the optimal reconfiguration after faults in the distribution grid. See Deliverables D4.1 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

Martin Braun

17 4 Agent-based platform based on JADE for the real-time operation of the distribution grid and coping with the problems of voltage control and of congestion management in a decentralized manner. See Deliverables D4.1 Economically efficient real-time operation of the distribution grid. Peer-to-peer optimization with robust and scalable distributed algorithms applied in the distribution grid operation.

ICCS

Aris Dimeas

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

19 5 A completely implemented DREAM-framework version 1 supporting  the heterarchic agent based architecture, that is industrially validated; Method and customised tools to realise agent-based smart grid applications in the grid operation and commercial domain. See Deliverables D5.1 – D5.2 Having available components to realize an increased visibility and individual controllability of lower grid segments; faster response to grid operational problems Interoperable set of tools that automatically can adapt coordination dependent on the operational status of the network

TNO

Rene Kamphuis

20 5 An environment with state-of-the art tools for cross-validation of components for a multi-party, multi-stakeholder development and configuration management. See Deliverables D5.1 – D5.2 Structured development and maintenance of a common set of basic components with clear interaction and integration with other tools like powermatcher and EF_pi (e.g. see http://flexiblepower.github.io/) Common multi-researcher approach supported in heterogeneous development environments with integration and interoperability with leading smart grid development packages

IML & TNO

Rene Kamphuis

21 5 A Flexible power Alliance Network (http://www.flexiblepower.org/ ) governed further extension of the DREAM framework. See Deliverables D5.1 – D5.2 Clear interaction and integration with other tools like powermatcher and EF_pi (e.g. see http://flexiblepower.github.io/) Integration and interoperability with leading smart grid development packages

TNO

Rene Kamphuis

22 5 A sample deployment hardware and software architecture for application in heterogeneous environments. See Deliverables D5.1 – D5.2 Multi-device, multi-standard compatibility Flexible methods for interfacing different types of device hardware

TNO & IML

Rene Kamphuis

23 5 JVM for ARTUs. Developments related to the integration of a Java Virtual Machine in standard ARTU operative system. This result will enable the execution of JAVA applications in the RTU. See Deliverables D5.1 – D5.2 Add comment from D3.2
Enable integration of user required protocols.
Increased openness of ARTU products

SEI

Francisco Ramos

24 5 Java integration layer for ARTU standard functions. This development will provide the API for standard RTU functions in the JVM. The applications will then be able to interact with the acquisition (measurements, inputs and outputs), communicate using supported industrial protocols, have read and write access to the real time database, and publish or receive information through the embedded web server. See Deliverables D5.1 – D5.2 Connection of Java world to the traditional RTU functions Introduction of Java layer capabilities into ARTU

SEI

Francisco Ramos

25 5, 6 Developer driven Integration of JeroMQ, XMPP protocols into RTUs. Integration of  ØMQ and XMPP protocols. See Deliverables D5.1 – D5.2 Adding P2P communications to support agents based program
Portable protocols in JAVA world
New way of communication  in addition to traditional protocols (IEC104,…)

SEI

Francisco Ramos

26 5, 6 Integration of JADE into RTUs . The integration of Java Agent Development Framework will enable easy integration of multiagent software. See Deliverables D5.1 – D5.2 Enable multi agent coordination and applications Enable of multi agent coordination and applications

SEI

Francisco Ramos

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/p>

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