Converter for Renewable Energy - Student Mohammad Jafari - RES14/913

Project Member(s): Zhu, J.

Funding or Partner Organisation: Commonwealth Scientific and Industrial Research Organisation (CSIRO Flagship Postgraduate Scholarship)

Start year: 2014

Summary: Future power systems must be able to provide a more secure, reliable, clean and high quality supply of electricity according to the consumer demands. There is an increasing demand on environmental friendly energy resources such as wind, solar and tidal. Because of the intermittent nature of most renewable energy resources, combinations of these resources into a unique system along with an energy storage system and alternative energy generators will improve system performances. This project proposes a hybrid multi-port converter (HMPC) topology for integrating several converters in a unique system which will reduce count of devices, cost and size of overall renewable energy system compared with several stage converters. Using a high frequency multi-winding transformer in this system provides galvanic isolation between all inputs and outputs and prevent of leakage current in some sources such as PV panels. The designed system will provide more reliable and faster management and control on input and output energy sources compared with multi-converter systems. The system can be designed to provide several features like bidirectional power flow, active and reactive power control, load management system, local and global power management system. This topology can provide five bidirectional and unidirectional ports and integrates the DC-DC and DC-AC conversion in a unique system, and would enable the system to supply both AC and DC loads, and/or to provide several single or three phase AC voltages of different frequencies and waveforms and DC voltages at the same time.

Publications:

Jafari, M & Malekjamshidi, Z 2020, 'Optimal energy management of a residential-based hybrid renewable energy system using rule-based real-time control and 2D dynamic programming optimization method', Renewable Energy, vol. 146, pp. 254-266.
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Jafari, M, Malekjamshidi, Z & Zhu, J 2019, 'A magnetically coupled multi-port, multi-operation-mode micro-grid with a predictive dynamic programming-based energy management for residential applications', International Journal of Electrical Power & Energy Systems, vol. 104, no. January 2019, pp. 784-796.
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Jafari, M, Malekjamshidi, Z & Zhu, J 2019, 'Copper Loss Analysis of a Multiwinding High-Frequency Transformer for a Magnetically-Coupled Residential Microgrid', IEEE Transactions on Industry Applications, vol. 55, no. 1, pp. 283-297.
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Jafari, M, Malekjamshidi, Z, Lei, G, Wang, T, Platt, G & Zhu, J 2017, 'Design and Implementation of an Amorphous High-Frequency Transformer Coupling Multiple Converters in a Smart Microgrid', IEEE Transactions on Industrial Electronics, vol. 64, no. 2, pp. 1028-1037.
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Jafari, M, Malekjamshidi, Z & Zhu, J 1970, 'Accurate copper loss analysis of a multi-winding high-frequency transformer for a magnetically-coupled residential micro-grid', 2017 20th International Conference on Electrical Machines and Systems (ICEMS), 2017 20th International Conference on Electrical Machines and Systems (ICEMS), IEEE, Sydney, Australia, pp. 1-6.
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Jafari, M, Malekjamshidi, Z & Zhu, J 1970, 'Design, analysis and control of a magnetically-coupled multi-port multi-operation-mode residential micro-grid', 2017 20th International Conference on Electrical Machines and Systems (ICEMS), 2017 20th International Conference on Electrical Machines and Systems (ICEMS), IEEE, Sydney, Australia, pp. 1-6.
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Lei, G, Liu, C, Jafari, M, Zhu, J & Guo, Y 2016, 'Multilevel Robust Design Optimization of a Superconducting Magnetic Energy Storage Based on a Benchmark Study', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-5.
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Jianguo Zhu, Islam, MR, Jiefeng Hu, Prasetya, S, Yuedong Zhan, Jafari, M, Hung Dung Pham & Youguang Guo 2015, 'Distributed Energy Resource with PEV Battery Energy Storage in the Smart Grid' in Vehicle-to-Grid: Linking electric vehicles to the smart grid, Institution of Engineering and Technology, UK, pp. 43-80.
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Islam, MR, Youguang Guo & Jianguo Zhu 1970, 'FPGA-based control of modular multilevel converters: Modeling and experimental evaluation', 2015 International Conference on Electrical & Electronic Engineering (ICEEE), 2015 International Conference on Electrical & Electronic Engineering (ICEEE), IEEE, Rajshahi, Bangladesh, pp. 89-92.
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Jafari, M, Islam, MR, Malekjamshidi, Z & Jianguo Zhu 1970, 'Modeling of multi-winding high-frequency transformers as a common magnetic-link in smart micro-grids', 2015 International Conference on Electrical & Electronic Engineering (ICEEE), 2015 International Conference on Electrical & Electronic Engineering (ICEEE), IEEE, Rajshahi, Bangladesh, pp. 249-252.
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Jafari, M, Malekjamshidi, Z, Islam, MR & Zhu, J 1970, 'Modeling of magnetic flux in multi-winding toroidal core high frequency transformers using 3D reluctance network model', 2015 IEEE 11th International Conference on Power Electronics and Drive Systems, 2015 IEEE 11th International Conference on Power Electronics and Drive Systems, IEEE, Sydney-Australia, pp. 413-418.
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Islam, MR, Guo, Y & Zhu, J 2013, 'A medium frequency transformer with multiple secondary windings for medium voltage converter based wind turbine power generating systems', Journal of Applied Physics, vol. 113, no. 17, pp. 17A324-17A324.
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Keywords: power electronic converters, renewable energy, smart micro grid

FOR Codes: Renewable Power and Energy Systems Engineering (excl. Solar Cells), Solar-Photovoltaic Energy, Wind Energy, Energy Transmission and Distribution (excl. Hydrogen), Industrial Electronics, Energy Storage (excl. Hydrogen), Energy Systems Analysis, Electrical energy generation (incl. renewables, excl. photovoltaics), Energy storage, distribution and supply

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.