Lisette Cupelli

Rolls-Royce Solutions GmbH

On account of the increasing influx of distributed energy resources into modern power grids, it is essential to develop efficient distributed control and optimization algorithms capable of providing suitable solutions with access to local data alone. This paper uses a distributed optimal power flow (OPF) algorithm based on a gradient projection met...

This paper presents a new data-driven voltage control approach for distribution networks based on kernel methods. Voltage control becomes more and more challenging due to the increased penetration of Distributed Generation (DG), bidirectional power flow and faster voltage dynamics. State-of-art strategies for voltage control rely on physics model-b...

This paper presents a new control method for power electronic interfaced Distributed Energy Resources (DERs) in DC grids. The proposed control method relies on a data-driven identification approach that is used in an adaptive control framework and does not require accurate models of the converters or off-line training for control synthesis. In this...

This paper investigates the applicability of a Data-Driven Control (DDC) approach for power electronic converters in DC microgrids to stabilize the bus voltage under large perturbations from connection/disconnection of converters. In DC microgrids, loads and generators are interfaced through power electronic converters. When tightly regulated, thes...

This paper presents a framework for the optimal operation of data centers, leveraging their Heating, ventilation, and air conditioning unit, delay-tolerant IT workload and battery storage system for participating in demand response programs. In this context, an MPC-based control framework has been developed that guarantees the reliable operation of...

As detailed in the EPN process of Chapter 3, the Neighborhood Energy Manager (NEM) and owner/owners select the potential business models for the Neighborhood and have available a number of energy services, such as optimization, real-time monitoring, and forecasting to select for deployment on their Neighborhood energy management platform. Having id...

This paper focuses on modelling energy components within a Data Centre (DC) in a Smart City environment. This allows exploring the DC dynamics in a way that includes conditions that might be difficult or too risky to recreate in the real world, e.g. the impact of a large power injection from renewable energy sources and its influence on the DC oper...

This work presents an approach to decentralized coordination of electro-thermal heating systems, like Combined Heat and Power systems (CHP), Heat Pumps (HP), or Electric Heating systems (EH), each equipped with thermal storage, within a group or cluster of residential buildings. The flexibility of these thermal systems can be exploited for coordina...