Battery energy storage cost and capacity optimization for university research center

Abstract

Microgrids (MGs) are the essential part of the modern power grids defined as the building blocks of smart grids. Renewable Energy Sources (RESs) and Battery Energy Storage Systems (BESSs) combined with Distributed Generators (DGs) form a comprehensive MG, which require the control and Energy Management System (EMS) to fulfill the load and grid requirements. As the need for BESS grows due to uncertainties of RESs, scheduling and cost management of BESSs in the MG becomes more of a concern. In this paper, BESSs have been designed for a university research center to simultaneously overcome the outage problem and shave the peak demand considering the BESS sizing and degradation; MG cost minimization, as well as MG scheduling. PV and wind are the RESs employed in this study and in combination; Li-Ion BESS has been utilized to investigate the MG performance. A two-layer optimization algorithm has been presented to optimally define the BESS size and minimize the operational cost of the MG achieving the peak shaving and valley filling objectives. The results prove the functionality and applicability of the proposed system to be implemented as a part of the experimental MG at Griffith University in order to enhance the stability and reliability of the research center and at the same time minimize the operational costs of the MG.

Techno-Economic Optimization of Grid-Connected Photovoltaic (PV) and Battery Systems Based on Maximum Demand Reduction (MDRed) Modelling in Malaysia

“…Kleissl et al [12] have developed an operational battery dispatch control system using linear programming for a solar PV-battery storage system that practices load and solar prediction to alleviate peak load. Moghim et al [13] developed the battery energy storage system (BESS) control algorithm to concurrently overcome the outage issue and shave the peak demand considering the BESS sizing and degradation, microgrid system cost reduction, as well as microgrid scheduling. Liu et al [14] studied the energy management with battery energy storage system (BESS) optimisation by bearing in mind the cost of distributed generations, cost of battery system, and bi-directional energy trading.…”

“…In MDRed Model, the electricity supply chain is based on the energy balance between the supply and the demand side with respect to MD limitations. Peak or maximum demand shaving concept using solar PV-battery system [13]. Figure 1.…”

A Hybrid Communication Platform for Multi-Microgrid Energy Management System Optimization

“…In other words, the communication system provides the required information for the MGs to transfer energy. Using the cost optimization method in [15], the MMG total cost is achieved for the system performance comparison. Three MGs are considered for the simulation, where the MGs are modeled and simulated based on the characteristics of the MG testing facility at Griffith University [16].…”

Optimal Sizing of a Battery-Supported Electric Vehicle Charging Hub with a Limited-Capacity Grid Connection

“…Many other studies look into battery sizing optimisation in other applications, such as for prosumers in renewable energy communities [11], as neighbourhood-level storage at a low-voltage distribution level [12,13], and as storage in a microgrid setting [14][15][16].…”