Peninsular Spanish timezone – CET (UTC+01:00) Time
9:30 Optimization-based Energy Management Systems for smart grids.
By Dr. Michela Robba
Abstract
In order to reduce greenhouse gas emissions, energy scenarios have been extensively changed due to the diffusion of distributed generation systems, renewables and microgrids (MGs) [1].
The presence of intermittent, non-programmable renewables as “stand-alone” entities connected to the distribution networks can result in the difficulty of balancing power in the transmission grid. This problem can be positively mitigated by bundling such distributed energy resources into intelligent MGs, which, through Energy Management Systems (EMSs) based on simulation and optimization models, can manage in an aggregate way all the power sources and loads [2].
The presentation will be focused on the optimization models and the EMSs developed at University of Genova (within National and Regional research and innovation projects) and actually in operation at a real site: the Savona Campus Smart Polygeneration Microgrid (SPM) and Smart Energy Building (SEB). Methods regard both centralized and distributed approaches under a Model Predictive Control scheme [3]-[4].
The SPM is a cogenerative low-voltage Microgrid (funded by the Italian Ministry of research) that has been operating since February 2014 on the Savona Campus of Genova University. The components included in the SPM are: two CHP units (rated electrical power: 65 kW); one NaNiCl2 battery storage system rated at 141 kWh capacity; one boiler system rated at 1000kW thermal power; one photovoltaic power plant rated at 80 kW peak power; one prosumer (i.e., the SEB, funded by the Italian Ministry on Environment, characterized by a geothermal heat pump, thermal storage, PV and solar thermal plants)). As regards optimization methods both centralized and distributed approaches for general smart grids will be discussed.
References
[1] M.F. Zia, E. Elbouchikhi, M. Benbouzid, “Microgrids energy management systems: A critical review on methods, solutions, and prospects,” Applied Energy, v 222, pp. 1033-1055, 2018.
[2] F. Delfino, G. Ferro, M. Robba, and M. Rossi, «An Energy Management Platform for the Optimal Control of Active and Reactive Power in Sustainable Microgrids,» IEEE Trans. Ind. Appl., 2019.
[3] G. Ferro, M. Robba, R, Haider, A. Annaswamy. A distributed optimization based architecture for management of interconnected energy hubs. IEEE Transactions on Control of Network Systems, 2022.
T. Nudell, M. Brignone, M. Robba, A. Bonfiglio, G. Ferro, F. Delfino, A. Annaswamy. Distributed Control for Polygeneration Microgrids: A Dynamic Market Mechanism Approach. Control Engineering Practice, 2022.
Biography
Michela Robba (Member, IEEE) received the master’s degree in environmental engineering from the University of Genova, in 2000 and Ph.D. degree in informatics and electronics engineering. He is an Associate Professor of systems engineering with University of Genoa, Genoa, Italy.
The research activity is in the field of optimization and control of smart grids, renewable energy resources, and natural resources management. She is the author of more than 120 publications in international journals, books and proceedings of international conferences.
Dr. Robba is a member of the scientific board of the Italian Energy Cluster and Liguria Region Innovation Pole on Energy, Environment and Sustainable Development. Since 2020, she has been an Editor for the IEEE Transactions on Automation Science and Engineering