EE1104 : BESS Integration Design and Testing

This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using our state-of-the-art simulators. 

 

This course is designed to provide participants with a detailed and up-to-date overview of BESS Integration Design and Testing. It covers the types and key components of BESS including the key performance indicators (KPIs) and typical applications in power systems; the BESS integration in power systems, battery chemistry and technology; the BESS power conversion systems (PCS) and system requirements for BESS integration; the standards and regulations for BESS, safety requirements for battery installations, emergency protocols for battery fires or failures; and the codes of practice for installation and testing. 

 

Further, the course will also discuss the power flow and load flow analysis for BESS; the battery sizing and optimization, control strategies for BESS and design of battery management systems (BMS); the cost-benefit analysis of BESS integration, return on investment (ROI) and payback period; the test procedures for BESS integration, battery testing methods and testing power conversion systems (PCS); the safety and fault diagnosis testing and environmental testing; and comparing test results with design expectations including continuous monitoring and system adjustments post-installation. 

During this interactive course, participants will learn the BESS for frequency regulation, peak shaving and energy arbitrage and grid support services; the role of BESS in virtual power plants (VPP); the advanced grid integration of BESS, demand response and BESS in smart grids and communication and control systems for BESS; the maintenance strategies for BESS and troubleshooting common BESS issues; upgrading and retrofitting existing BESS systems and decommissioning and recycling of BESS; the role of AI and machine learning in energy storage optimization; developing standards for ultra-large-scale BESS; and predicting the future of grid-scale energy storage.