Dr. Gabriel Zambrano
Design and Optimisation of a Power Management System for Home Microgrids.
Gabriel Zambrano is an Engineer in Telecommunications from Venezuela and an MSc in New and Renewable Energy from Durham University, England. He was selected by the British Government as a Chevening Scholar in 2018. He has worked in energy efficiency for buildings and homes using telecommunication networks. Gabriel also received a diploma in Governability and Political Management from The George Washington University, USA, and has an interest in energy policy. Recently, Gabriel has designed and optimised an Energy Management System for home microgrids considering renewable energy resources and electric vehicles. He wants to become a Doctor in game-theoretic control for complex systems of systems.
The microgrid concept has emerged as a viable solution for accommodating increasing levels of distributed renewable energy resources at the low voltage distribution levels in recent years. In this paper, a software platform for optimised operation of multiple home-microgrids is presented. Numerous intelligent home-microgrids classified by the ACORN (A Classification of Residential Neighborhoods) scheme of the United Kingdom are operated in an optimal way to reduce the cost of the electricity bill. The energy management system (EMS) considers load profiles of smart homes from the London Low Carbon Project, renewable energy generation data, electric vehicles, information of the battery storage systems and the price of energy to do the optimisation. A MILP (Mixed Integer Linear Programming) approach is used to minimise the cost function on MATLAB. Results describe the global optimum solution for the cost function considering multiple scenarios demonstrating a reduction on the energy bill for each household within the microgrid.
Energy Management System, Mixed Integer Linear Programming, Renewable Energy Resources, Optimisation.