Simulation frameworks for emerging Energy Storage Systems in the Smart Grid

Pervasive Technologies
Thesis Code: 
17003

Thesis Type: 6 months Master Thesis (Laurea Magistrale) for students in Electrical Engineering, Computer Engineering, Telecommunication Engineering, or related field.

Requirements:
- Experience with at least one programming language (e.g. Matlab, JAVA, Python,C++, etc.).
- Interest and/or previous knowledge of simulation tools and distributed simulation environments is a plus.

Description:
Motivation:
The high cost and complexity of current energy system indicate an efficient planning, deployment and performance analysis are necessary before the real world implementation is carried on. Simulation is the solution to avoid possible issues arising during the real world deployment. Emerging electricity power system operating paradigms such as demand response, energy storage, retail market, electric vehicles and a new generation of distribution automation systems not only require very advanced power system modeling tools , but also require that thesis tools be integrated with building thermal and control models, battery storage technology models, vehicle charging system models, market simulators and detailed power system control models. While a large number of specialized simulators exist, modelling and simulating complex scenarios where different control aspects inter-twine and influence each other requires simulators to work in federated fashion.

Objective:
The goal of this thesis is to analyse, design and implement a federated simulation framework suitable for Smart Grid Scenarios where Energy Storage Systems (ESS) are in place. The proposed solution shall built upon existing tools and standards for distributed simulation, as well as interoperate correctly with established tools for Smart Grid Simulation. Foreseen activities include: studying the state of the art of integrated modeling approaches of modern energy system involving RES production, energy storage system, Electric Vehicle charging network, energy market and other assets; analysing simulation standards and architectures of existing simulators; proposing (and possibly demonstrating) a reference architecture for a co-simulation, federated, and cooperative simulation approach. Scenarios, challenges and key reference standards for this thesis will be derived from the Storage4Grid EU project. The selected student will be tutored by researchers from the ISMB Pervasive Technologies Area and the Smart Energy Program.

Contact: send a resume specifying the thesis code and title to pert@ismb.it.