Within the PlanGridEV project, which will be carried out in four phases, the research and development tasks have been assigned to nine work packages (WP). This is a short overview of the WP tasks and the assigned responsibilities.
Research strategy and project work flow
Grid planning and physical reinforcement methods play an important role in the preparation of the grid for EV roll out. However, in order to prioritize, avoid or shift future invests new; more sophisticated methods will be needed. In this work package current methods will be listed and evaluated (e.g. in terms of cost, project time, ecological footprint). Further the requirements of DSOs and OEMS concerning their interface will be collected. In order to identify the gap a set of future scenarios will be developed and simulated. Conventional planning rules will be transferred to WP2. The gap analysis and simulation results will be transferred to WP4.
EV-grid integration leads to two main paths: load management and grid reinforcements that might also be combined to implement integration strategies from DSO perspective. This WP, leveraging on the experience of the projects Green eMotion and G4V is in charge of identifying business scenarios and technical and economical requirements needed for EVs integration through active load management in LV/MV distribution grids. Additionally, this WP will conduct grounded research on possible methodologies that might be implemented as operational procedures compliant to the technical requirements (e. g. DER traceability in real time to demonstrate the integration of RENs through active load management).
An overview of business scenarios and technology enhancements are provided to:
From a technological perspective, this WP will draw out the requirements of new operational procedures by checking also the possibility to use existing DMS solutions, in which both EVs and Distributed Generation models have to be considered. These new procedures will be also useful to design new planning rules at later stages.
The defined requirements together with grounded research on methodologies will serve as a basis for the validation and demonstration performed in WP5.
The main objective of this WP is to assess the needs for information to be managed by any of the systems and stakeholders related to the connection and appropriate management of EVs in the smartgrid.
The driver is the opportunity for minimizing the investment in infrastructure for the electricity network, according to an optimal management of EV charging or, even more, the full integration of EVs as additional controllable resources for the electricity grid.
This WP will also assess the communications, protocols and networks to allow exchanging that information as needed. Concepts and approaches for new EV mobility models within a context of a high value services offer will also be developed.
The global objective of this WP is to develop methods and tools to manage controllable loads and to optimize distribution grid development in the presence of DER, EV and other storage devices. Specification of the tool required for optimum grid development in presence of controllable load and DER will be defined. Next, novel methods and algorithms will be produced to tackle the new challenges (multi-objective optimization, uncertainty, storage modeling, statistical models, …). Finally prototype tools will be developed integrating and combining the most successful methods and algorithms in order to meet the initial specifications.
The main objective of this WP is to validate and test in a real environment operational methods for intelligent charging and active load and congestion management relying on the infrastructure and existing pilot projects by the involved DSOs EDP, ENEL, RWE and ESB. Also, a validation of the planning tool will be conducted. The validation and test results will be passed to WP4 and WP 6 for tools and planning rules to take real life operational constraints into account when modeling different smart systems.
In this work package novel planning rules and operational principles are developed. In contrast to previous works (compare section 1.2.1), a holistic approach is considered, where real world use cases, realistic system of systems simulation lead to novel planning rules for smart grids which are economically justified and will represent the basis for new investment strategies of DSOs and OEMs.
The objective of WP 7 is at first to identify a best scenario to support EV rollout while enabling and possibly increasing the DER hosting capability of the electricity grid. For this purpose, the scenarios of WP2 are analyzed with regards to the KPI as defined in WP1. Once identified a best scenario is selected, this work package will develop a corresponding investment strategy considering the results of operational principles from WP 5 and planning rules from WP6 by conducting a comparison with a ‘Business as Usual’(BAU) scenario, with the aim of making a feasibility analysis for DSO.
An analysis is finally performed on how the identified most promising scenario for Smart Grid integration of EVs should be met according to each region. This goal is accomplished by identifying the technology and regulatory gaps that should be closed to implement the best scenario and make it a feasible framework in which EVs can be leveraged to met DER integration. The final result of this WP is to provide the European Commission, project and e-mobility stakeholders with useful recommendations to pave the way for the suggested Smart Grid integration framework.
The objective of WP8 is to disseminate and promote the knowledge and results gained within the project. The project addresses different target groups; hence dissemination measures are designed according to the information requirements of each of these groups:
Dissemination activities will also leverage on and be included within the two workshops conducted in WP6 (input collection from stakeholders and presentation of revised and evolved architecture model)
The overall objective of WP9 is the project management with controlling, contractual management, communication and resources management. Accordingly, WP9 interacts with all of the other WP and is led by the project coordinator RWE.
The specific objectives of WP9 are as follows: