Demand Management Storage Project (DMSP) – an application of grid scale battery energy storage systems

Jiang, Jennifer (2015) Demand Management Storage Project (DMSP) – an application of grid scale battery energy storage systems. [USQ Project]


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Grid scale BESS (battery energy storage system) has been identified as one of the key technologies in the utility network of the future. There are significant benefits associated with their ability to store energy. This study aims to use economic models to evaluate grid scale BESS benefits and to sum them up into value propositions.

DMSP project is planning to install one of the largest BESS systems at a 22kV distribution feeder in Australia. According to (Eyer & Corey, 2010) guide, energy storage systems could have 17 electric grid related applications which across 5 categories: electrical supply, ancillary services, grid system, end user/utility customer and renewable integration. Among all the applications, DMSP project focuses on two major applications: using grid scale BESS for energy time-shift and feeder construction deferral applications.

In order to quantify the economic feasibility of the DMSP BESS system, studies were done to analyse the distribution system, energy market and BESS system. Two data models had been created to quantify the two BESS applications with the factors such as energy prices, feeder load data and battery parameters. With the data models, methods were found out about how to simulate electrical and economic performance of the battery energy storage system and quantify these performances into market value.

The simulation results had been presented and analysed in the document. From the simulation, it concluded that economic feasibility of BESS energy time-shift application is depended on active level of energy market and also the BESS system cost; Feeder construction deferral application can bring significant benefits if the feeder upgrade construction costs are high.

Further in the research an optimal battery control scheme was developed using the forward dynamic programming approach. Based on the data models, this scheme provided the optimal battery control strategy to achieve the maximum benefits from BESS application.

The research shows that BESS can bring positive benefits for combined energy storage applications. The potentials of using BESS systems in Australian utility network shall be extended specially with the system costs decreased in the future.

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Item Type: USQ Project
Item Status: Live Archive
Additional Information: Bachelor of Engineering (Power) project
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021)
Supervisors: Ahfock, Tony
Date Deposited: 06 Jun 2016 06:42
Last Modified: 06 Jun 2016 06:42
Uncontrolled Keywords: Demand Management Storage Project (DMSP), Energy Storage Systems, Batteries, Energy Time Shifting
Fields of Research (2008): 09 Engineering > 0906 Electrical and Electronic Engineering > 090607 Power and Energy Systems Engineering (excl. Renewable Power)
Fields of Research (2020): 40 ENGINEERING > 4008 Electrical engineering > 400805 Electrical energy transmission, networks and systems

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