Jiahui Jiang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jiahui Jiang has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Colin Coates
School of Electrical Engineering and Computing, University of Newcastle, Callaghan NSW 2308, Australia
2 shared publications - Frede Blaabjerg
Aalborg University
2 shared publications - Saeed Peyghami
Department of AAU Energy, Aalborg University, 9220 Aalborg, Denmark
2 shared publications
Latest Publications
- Open Access
- 1 November 2021
- Published by Elsevier in Journal of Energy Storage
- Vol. 43, 103051
A comprehensive study on reliability performance of Photovoltaic-battery-based microgrids under different energy management strategies
- 1 November 2021
- Published by Elsevier in Journal of Energy Storage
- Vol. 43, 103051
Open AccessA comprehensive study on reliability performance of Photovoltaic-battery-based microgrids under different energy management strategies
- 27 November 2020
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Electronics
- Vol. 36 (6) , 7281-7293
A Decentralized Reliability-Enhanced Power Sharing Strategy for PV-Based Microgrids
Microgrid (MG) technologies facilitate reliable, efficient and economic operation of distributed resources such as photovoltaic (PV) and battery storage systems. The well-known droop method controls different sources in a MG to properly share power supply. However, utilizing the droop method poses two major challenges. Firstly, while the droop method can prevent converter over-loading, it cannot protect them from over-stressing, thus deteriorating system reliability. Secondly, operating a 100% renewable-based MG requires a supervisory unit to monitor and control energy flow for load-generation balance. However, the supervisory unit relies on communication systems which impacts overall system reliability by being exposed to single-point failures and cyber-attacks. This paper proposes a decentralized power sharing approach that restricts thermal damage of converter components to avoid over-stressing converters. The main goal is to improve overall system performance and reliability by appropriately sharing active and reactive power among different sources without using communication systems. The simulations and numerical analysis show that the proposed decentralized strategy will properly control the power and energy flow among different sources. Moreover, it prevents over-stressing converters, consequently enhancing the overall reliability of the MG. An experiment is also presented to demonstrate the effectiveness of the proposed decentralized control approach.
- 27 November 2020
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Power Electronics
- Vol. 36 (6) , 7281-7293
A Decentralized Reliability-Enhanced Power Sharing Strategy for PV-Based Microgrids
Microgrid (MG) technologies facilitate reliable, efficient and economic operation of distributed resources such as photovoltaic (PV) and battery storage systems. The well-known droop method controls different sources in a MG to properly share power supply. However, utilizing the droop method poses two major challenges. Firstly, while the droop method can prevent converter over-loading, it cannot protect them from over-stressing, thus deteriorating system reliability. Secondly, operating a 100% renewable-based MG requires a supervisory unit to monitor and control energy flow for load-generation balance. However, the supervisory unit relies on communication systems which impacts overall system reliability by being exposed to single-point failures and cyber-attacks. This paper proposes a decentralized power sharing approach that restricts thermal damage of converter components to avoid over-stressing converters. The main goal is to improve overall system performance and reliability by appropriately sharing active and reactive power among different sources without using communication systems. The simulations and numerical analysis show that the proposed decentralized strategy will properly control the power and energy flow among different sources. Moreover, it prevents over-stressing converters, consequently enhancing the overall reliability of the MG. An experiment is also presented to demonstrate the effectiveness of the proposed decentralized control approach.