Junainah Sardi

A loss sensitivity factor method for locating ES in a distribution system with PV units

This paper presented an approach to place single and multiple Energy Storage (ES) units in a distribution network with photovoltaic (PV) units considering energy losses. The approach is based on ALSFmax, which is defined as a difference between the minimum and maximum Loss Sensitivity Factor (LSF) values. The GridLAB-D simulation software is used to model test systems under the study and to validate the proposed method. Results show that the proposed ALSFmax approach can yield lower energy losses and better voltage profiles than other methods: average LSF, centralized ES (i.e. ES is located at the substation) and ES located near the PV units. Some interesting results are also presented in the paper.

Community energy storage, a critical element in smart grid: A review of technology, prospect, challenges and opportunity

Community Energy Storage (CES) has been known as a new generation of energy storage that is a crucial element in smart grid. Its location at the edge of the grid and close to customers offers great benefits compare to energy storage located at substation in terms of smoothening the impacts of intermittent Renewable Energy (RE) resources and diversity of Electric Vehicle (EV) operational characteristics. Power utilities found that CES deployment along with reliable planning and control system can become a smart solution in providing sustainable energy and open new business opportunity. However, despite the benefits, CES deployment in distribution system with the integration of PV and EV may face several challenges. This paper provides an overview of CES, covering technology, prospect, challenges and opportunity in obtaining a reliable smart distribution system with optimal cost. In addition, preliminary simulation works are presented to show the effectiveness of CES in reducing power loss and improve voltage profile compare to a central battery located at substation.