Smart Energy Technologies
Performance Analysis of Smart Energy Management Systems for Residential Storage Hybrid Inverters
Tuesday, September 25
11:40 AM - 12:00 PM
Md Tanvir Arafat Khan
Research and Product Development Engineer
Tabuchi Electric Company of America Limited
Abstract Content : Objectives: Integrated energy storage along with renewable power sources provide critical support to legacy grid systems, in addition to benefitting the end user. Energy storage coupled with smart energy management algorithms enable PV power to be utilized for time of use, demand management, self-consumption, home backup, and stand-alone operation based on customer and utility requirements. This abstract discusses the developed operation modes of the DC-coupled Eco Intelligent Battery System (EIBS) with fully autonomous software control, monitoring, and a cloud interface for efficient utilization of residential PV systems.
Methods: EIBS has three strings of PV input to generate 5.5 kW AC output. Multi-string technology maximizes PV generation on complex roof structures and enables interconnection of different panels on individual strings without impacting system performance. EIBS, as a smart energy management device, can be operated in four different modes: Economy (ECO), Max Power Export (MPE), Peak Cut (PC), and Home Backup (HB). ECO mode offsets grid-purchased electricity throughout the day and charges the battery only when there is surplus generation. The battery discharges to mitigate load spikes to reduce demand charges in ECO mode. MPE mode prioritizes maximum PV export to the grid for Net Energy Metering (NEM) with a user defined battery charge/discharge window. PC mode supports non-exporting PV systems to reduce purchase from the grid, allowing for two discharge windows and one charge window daily. HB supports consumers in areas with unstable grid service. The battery remains fully charged to secure a power source for critical loads during a power outage.
Results: EIBS systems are in operation throughout different regions in the United States to maximize customer benefits using smart energy functionalities based on individual utility requirements and tariffs. Customer site data can be monitored remotely through a web portal allowing for data analysis for future product development. Detailed results will be provided in the final submission for all four operation modes. Data from the installed EIBS show significant savings through the use of 100% renewable energy via the combination of PV power, thermal and electrical storage, changes in daily consumption patterns, and optimized smart energy management.
Conclusion: EIBS supports the ongoing transformation of the power grid network with intelligent energy management control for the end user. In the future, the system will be able to communicate with the utility or the aggregators to provide grid support directly by changing the operation modes of household inverters. Data analysis results from customer sites guarantee the successful implementation of such integrated systems, which can be helpful in the development of integrated commercial energy storage products for direct grid support and management.