WP3 - Algorithms and Toolboxes for ECo Sizing and Operations (M8-M18)
Lead: UNIBO
The models obtained in WP2 will be used to develop the main control policies and strategies for both internal and external operations, also investigating efficient strategies that, even in a non-cooperative framework, will optimize sustainability rewards, such as maximization of renewable energy usage.
Acting as the link between internal and external control the ECo coordinator will interact on one side with prosumers to ensure fairness, and on the other side with other ECo coordinators and/or an aggregator to maximize the utility of the energy community. Distributed algorithmic tools will be designed to ensure the scalability and transparency of control strategies.
Using the models from Task 2.1/2 ECo sizing will be addressed in Task 3.1, while algorithms and toolboxes for internal and external control will be developed respectively in Task 3.2 and Task 3.3.
Task 3.1: Sizing (UNISAN*, UNIGE)
With a view to developing a user-friendly, relatively general toolbox, the ECo sizing will set up the capacity of ECo resources for optimizing operations in the long term, with the code also relying on suitable general purpose open-source solver(s) and libraries.
Task 3.2: Internal Operations (UNIBO*, UNISAN)
Distributed algorithms and toolboxes for ECo internal operations will be designed to ensure fairness in energy management via coordinated interaction among ECo members and/or with the coordinator. Uncertainty associated with renewable energy sources will be address through stochastic optimization, whereas decomposition methods, tools from Nash bargaining, deep learning and AI will be applied to design the distributed policies and strategies.
Task 3.3: External Operations (UNIGE*, UNIBO)
Distributed algorithms and toolboxes will be developed for possible external operations of ECos, considering two cases: a) ECo participation in balancing market services through interaction, in cooperative and competitive ways, with an aggregator who coordinates different actors (microgrids, ECos, general prosumers); b) ECo participation in demand response programs without a broker (i.e., adopting a peer-to-peer scheme with other ECos and general prosumers). Particular methodological considerations include: inclusion of ECos; possibly considering different classes of optimization problems; and defining better performing methods than those currently available.
WP1 - Project Management, Dissemination and Communication
WP2 - ECo Modeling
WP4 - Validation and Testing
PROJECT OVERVIEW
TARGETS: GOALS & OBJECTIVES
METHODOLOGIES
WORKPLAN
MILESTONES & DELIVERABLES
