Invited speaker 1 – Prof. Marko Delimar,
University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia

Title: Grid modelling in AC systems with integrated power electronics devices

Abstract: The integration of power electronics devices in modern power systems, increased by the growing demand for renewable energy, is changing the modelling paradigm of power grids. The interactions between power electronics devices and the ac grid can appear at high frequencies, necessitating the use of high-bandwidth EMT ac line models. This presentation will provide a short review of the common simplifications in ac line modelling and a comparison of different state-space compatible ac line models in the frequency domain. Furthermore, the main challenges in modelling large interconnected power systems with power electronics devices will be discussed. Finally, a mathematical formulation of the hybrid grid model, consisting of RMS and EMT sections, will be presented

Invited speaker 2 – Dr. Michael D. Murphy,
Faculty of Mechanical, Process and Electrical Engineering, Munster Technological University, Ireland

Title: Exploiting the battery storage of electric vehicle fleets for industrial demand response: Optimal trade-offs between demand response optimization and battery degradation

Abstract: In the industrial sector, there is increasing interest in the utilization of electric vehicles (EVs) for energy storage in smart grids. A major challenge in achieving this will be optimizing the redundant battery capacity of EV fleets for both industrial loads and smart grids with dynamic electricity pricing. The stakeholders must be able to manage the charging and discharging of EV fleets in such a manner that economic, technological, and environmental synergies can be achieved. In this study, the minimization of electricity costs, CO2 emissions, and EV battery degradation for a factory that utilizes its employees’ EV batteries as distributed energy storage are simulated. The concerns of EV owners regarding battery degradation are taken into account through a multi-objective optimization problem, which seeks to find an optimal trade-off between increasing the economic performance of the factory’s demand response, while also compensating the EV owners to a degree, which is at least commensurate to the level of battery degradation. A balance is established between the different objectives based on real-time prices, renewable energy utilization, and the effective demand response of the factory’s electrical load. The benefit for the factory is the free utilization of the EVs’ battery storage, which is used to increase the economic performance of the demand response through the charging and discharging of the EV owners’ batteries to take advantage of troughs in electricity prices and intermitted renewable energy. The EV owners are compensated by the factory for battery degradation in the form of subsidized or free electricity for charging in exchange for the utilization of the EV owners’ batteries. Results showed that several optimal trade-offs exist where both the factory and EV owners could profit from the utilization of the EV fleet for demand response when the level of battery degradation throughout the EV fleet is controlled.