PROJECT TITLE: Energy Management Systems for Islanded Microgrids with High Penetration of Renewable Energy Resources
PhD period: 2019.01.01 – 2021.12.31.
Section: Electric Power Systems
Research Programme: Microgrids
Supervisor: Josep Guerrero
Co-Supervisors: Juan Carlos Vasquez and Professor Doris Sáez, University of Chile
Collaborator: University of Chile, Orbital A/S.
Funding: Mexican National Council of Science and Technology (CONACYT).
The becoming increasing levels of CO2 into air and climate change has lead governments all around the globe to stablish goals and implement strategies for decreasing pollution levels. In this context, the Danish energy agency has the goal of being completely independent of fossil fuels on 2050 by implementing several energy programs to foster the use of renewables to supply energy needs. Nevertheless, the becoming increase in renewables share into main grid has given birth many challenges in energy generation and distribution, especially in places where traditional distribution system is not available. On the other hand, microgrids (MG) concept has been widely studied, which focus in overcoming these issues in an reliable, efficient, cost-efficient and sustainable way, but still challenges exist.
Therefore in this PhD thesis, a new coordinated control and energy management design for a standalone AC MG ensuring a reliable and suitable use of renewables with high security of supply and energy quality. Additionally, with robustness to electric faults. The control architecture is defined as : 1) primary control in the lowest level, which is in charge of keeping voltage and frequency in safe limits, and in charge to maintain power levels. This will depend in MG needs for improving efficiency in distribution/generation according to secondary control strategy. 2) Power Management System (PMS, secondary control) in the middle level, for allocating corresponding references of generation/consumption to primary controls. The core of the new PMS will be the integration of artificial intelligence (AI) algorithms. 3) Energy Management System (EMS, tertiary control) in the highest level, for managing energy into MG and forecasting load demand and energy availability in irradiance and wind. Finally, a fault location and protection strategy will be developed.
Publications in journals and conference papers may be found at VBN.