TY - GEN
T1 - Self-directed Energy Management System for an Islanded Cube Satellite Nanogrid
AU - Yaqoob, Mohammad
AU - Nasir, Mashood
AU - Vasquez, Juan C.
AU - Guerrero, Josep M.
N1 - Funding Information:
This work was funded by a Villum Investigator grant (no. 25920) from The Villum Fonden.
Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/3
Y1 - 2020/3
N2 - This paper presents a self-directed energy management system for an islanded cube satellite Nanogrid. Since the electrical power system of a cube satellite is generally constrained in mass and volume, therefore, it offers many challenges for sustainable operation and requires efficient management of power generation, distribution, storage, and utilization. In this proposed energy management system, solar power generation is efficiently managed through an intelligent algorithm capable of interchanging its mode of operation between maximum power point tracking mode and current control mode based upon battery state of charge. The proposed control and management system not only allows the optimal solar power extraction but also tends to enhance the battery life through controlled charging. A local link is responsible for the communication of information regarding the state of charge of the battery for the smooth inter-mode transition. The proposed power electronic control system is modeled in MATLAB/SIMULINK and the results for power-sharing among solar PV, battery and load are analyzed at varying profiles of load and incident irradiance to validate the efficacy of the proposed energy management system.
AB - This paper presents a self-directed energy management system for an islanded cube satellite Nanogrid. Since the electrical power system of a cube satellite is generally constrained in mass and volume, therefore, it offers many challenges for sustainable operation and requires efficient management of power generation, distribution, storage, and utilization. In this proposed energy management system, solar power generation is efficiently managed through an intelligent algorithm capable of interchanging its mode of operation between maximum power point tracking mode and current control mode based upon battery state of charge. The proposed control and management system not only allows the optimal solar power extraction but also tends to enhance the battery life through controlled charging. A local link is responsible for the communication of information regarding the state of charge of the battery for the smooth inter-mode transition. The proposed power electronic control system is modeled in MATLAB/SIMULINK and the results for power-sharing among solar PV, battery and load are analyzed at varying profiles of load and incident irradiance to validate the efficacy of the proposed energy management system.
UR - http://www.scopus.com/inward/record.url?scp=85092574357&partnerID=8YFLogxK
U2 - 10.1109/AERO47225.2020.9172754
DO - 10.1109/AERO47225.2020.9172754
M3 - Article in proceeding
AN - SCOPUS:85092574357
SN - 978-1-7281-2735-4
T3 - IEEE Aerospace Conference Proceedings
SP - 1
EP - 7
BT - 2020 IEEE Aerospace Conference
PB - IEEE Computer Society Press
T2 - 2020 IEEE Aerospace Conference, AERO 2020
Y2 - 7 March 2020 through 14 March 2020
ER -