All Outputs (4)

Droop Coefficient Design and Optimization Using Genetic Algorithm-A Case Study of the More Electric Aircraft DC Microgrid (2022)
Presentation / Conference Contribution
Hussaini, H., Yang, T., Gao, Y., Wang, C., Bai, G., & Bozhko, S. (2022, October). Droop Coefficient Design and Optimization Using Genetic Algorithm-A Case Study of the More Electric Aircraft DC Microgrid. Presented at IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, Brussels, Belgium

The droop control method is usually employed in the DC microgrids to share the load current demand among multiple sources due to its advantage of being independent of a communication network. However, the performance of the droop control method is af... Read More about Droop Coefficient Design and Optimization Using Genetic Algorithm-A Case Study of the More Electric Aircraft DC Microgrid.

An Enhanced Droop Control Method for multi-source Electric Power System of More Electric Aircraft (2021)
Presentation / Conference Contribution
Hussaini, H., Yang, T., Wang, C., & Bozho, S. (2021, October). An Enhanced Droop Control Method for multi-source Electric Power System of More Electric Aircraft. Paper presented at MEA2021, Bordeaux, France

The more electric aircraft concept has been identified as the major trend of future aircraft. The DC distribution network where multiple electrical sources are connected to a common HVDC bus is a promising architecture for more electric aircraft appl... Read More about An Enhanced Droop Control Method for multi-source Electric Power System of More Electric Aircraft.

An Enhanced and Cost Saving Droop Control Method for Improved Load Sharing for the MEA Application (2021)
Presentation / Conference Contribution
Hussaini, H., Yang, T., Wang, C., & Bozhko, S. (2021, June). An Enhanced and Cost Saving Droop Control Method for Improved Load Sharing for the MEA Application. Presented at 2021 IEEE Transportation Electrification Conference & Expo (ITEC), Chicago, IL, USA

The more electric aircraft (MEA) concept has been identified as the major trend of future aircraft. The DC distribution network is a promising architecture for more-electric aircraft application, where multiple electrical sources are connected to a c... Read More about An Enhanced and Cost Saving Droop Control Method for Improved Load Sharing for the MEA Application.

Droop Coefficient Design in Droop Control of Power Converters for Improved Load Sharing: An Artificial Neural Network Approach (2021)
Presentation / Conference Contribution
Hussaini, H., Yang, T., Gao, Y., Wang, C., Dragicevic, T., & Bozhko, S. (2021, June). Droop Coefficient Design in Droop Control of Power Converters for Improved Load Sharing: An Artificial Neural Network Approach. Presented at 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE), Kyoto, Japan

In this paper, a new approach for the design of the droop coefficient in the droop control of power converters using the artificial neural network (ANN) is proposed. In the first instance, a detailed more electric aircraft (MEA) electrical power syst... Read More about Droop Coefficient Design in Droop Control of Power Converters for Improved Load Sharing: An Artificial Neural Network Approach.