Research Project

The renewable power generation is seen as an effective way to resolve the global energy crisis and reduce the carbon footprint. In recent years, fuel cells, micro turbines, and advanced battery technologies are emerging as potential options that can be integrated as part of the electrical supply system to enhance its availability, reliability and efficiency. The intermittent characteristics of renewable energy sources such as wind and solar energy systems give rise to great challenges on coordination and balancing issues between supply and demand.

Microgrids as a platform to incorporate renewable and alternative energy resources can provide intelligence for monitoring and control of distribution systems. They can mitigate the intermittent nature of renewable energy sources and can improve the power balance between supply and demand as well as the power quality of the supply using adaptive demand response management (DRM), unified power quality conditioner (UPQC) and advanced hybrid energy storage system (HESS), as shown in Fig.1. The aim of this program is to enhance the reliability and economic performance of microgrids.

Funding Information: Singapore Economic Development Board (EDB), Jun 2014 – Dec 2017, Project value: $2.786M

M. J. Sanjari, H. B. Gooi, and N. Nair, "Power generation forecast of hybrid PV–wind system," IEEE Transactions on Sustainable Energy, vol. 11, no. 2, pp. 703-712, 2019. Link.

M. J. Sanjari, H. Karami, and H. B. Gooi, "Analytical rule-based approach to online optimal control of smart residential energy system," IEEE Transactions on Industrial Informatics, vol. 13, no. 4, pp. 1586- 1597, 2017. Link.

H. Karami, M. Sanjari, H. Gooi, G. Gharehpetian, and J. Guerrero, "Stochastic analysis of residential micro combined heat and power system," Energy Conversion and Management, vol. 138, pp. 190-198, 2017. Link.

M. J. Sanjari and H. Gooi, "Probabilistic forecast of PV power generation based on higher order Markov chain," IEEE Transactions on Power Systems, vol. 32, no. 4, pp. 2942-2952, 2016. Link.

M. Sanjari, H. Karami, and H. Gooi, "Micro-generation dispatch in a smart residential multi-carrier energy system considering demand forecast error," Energy Conversion and Management, vol. 120, pp. 90-99, 2016. Link.