Intelligent Power Allocation and Scheduling

Intelligent Power Allocation and Scheduling for Electrical Power Systems Research Project in Corp Lab

Motivation

• The concept of More-Electric Aircrafts (MEA) emphasizes on the utilization of the electrical power to power the non-propulsive aircraft systems. The major advantages of having MEA are the optimization of aircraft performance and reduction in operating and maintenance costs. Also, MEA enables the reduction in pollutant emission, easing the environmental concerns caused by air travel. However, MEA poses challenges to the aircraft electrical system. This is because conventional aircraft power distribution and management system manage only to present demands.

• Due to the increasing number of electrical loads, the dynamics of power flow on the electrical bus has been significantly altered. This dynamic characteristic of electrical loads will affect the reliability of power system. Also, more auxiliary power sources (energy storage device), such as battery or super-capacitor, are required to improve the system performance when electrical loads demand high power in a short time. This leads to over-provision of storage capacities in order to allow for multiple concurrent loads and future technology insertion. These challenges show the need of intelligent power management system in optimizing the power management of a civil aircraft’s power system.

Project Objectives

• In this project, an intelligent power management for civil aircraft will be developed, based on a much smaller scale of power system architecture. The main objective is to develop an intelligent power management system that is scalable and flexible to be applied to systems with different levels of complexity.

Collaborators

• Prof. Changyun Wen (PI), Prof. Rong Su (co-PI), Dr. Souvik Dasgupta, Dr. Gabriel Ooi Heo Peng, Dr. Jiawei Chen, Dr. Jian Chen, Dr. Di Wu, Dr. Qianwen Xu.

Publications

1. Y. Zhang, Y. Yu, R. Su and J. Chen. Power Scheduling in More Electric Aircraft based on An Optimal Adaptive Control Strategy. IEEE Transactions on Industrial Electronics. 2019.

2. Y. Zhang, G. Ooi, S. Dasgupta, M. Husband, R. Su and C. Wen. An Energy Efficient Power Management Solution for a Fault-tolerant More Electric Engine/Aircraft. IEEE Transactions on Industrial Electronics. 2018.

3. Y. Zhang, G. Ooi, S. Dasgupta, M. Husband, R. Su and C. Wen. Design of the Power Management System for Electrical Power Systems in More Electric Engine/Aircraft. International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC), 2018.

4. G. Ooi, Y. Zhang, S. Dasgupta, M. Husband, D. Wu and C. Wen. Fault Tolerant More Electric Engine/Aircraft Architecture with Integrated Condition-Based Control. International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC), 2018.

5. Y. Zhang, R. Su, C. Wen, M. Y. Lee and C. Gajanayake. Distributed Power Allocation and Scheduling for Electrical Power System in More Electric Aircraft. 42nd Annual Conference of IEEE Industrial Electronics Society (IECON), 2016.

6. Q. Xu, P. Wang, Y. Zhang, C. Wen and J. Xiao. A decentralized control strategy for economic operation of autonomous AC microgrids. 42nd Annual Conference of IEEE Industrial Electronics Society (IECON), 2016.

7. A. Barzegar, R. Su, C. Wen, L. Rajabpour, Y. Zhang, A. Gupta, C. Gajanayake and M. Y. Lee. Intelligent Power Allocation and Load Management of More Electric Aircraft. IEEE Conference on Power Electronics and Drive Systems (PEDS2015), 2015.