研究目的
To propose and demonstrate a hybrid energy storage system combining batteries and variable power electric water heaters in net zero energy residences to reduce battery size and ratings while enabling dispatchable power and mitigating solar power variability issues like the 'duck curve'.
研究成果
The hybrid energy storage system with coordinated controls significantly reduces battery size and ratings, enables dispatchable power from NZE homes, and mitigates solar power variability issues at both home and district levels, potentially leading to cost savings and improved grid stability.
研究不足
The study is based on simulations and specific climate conditions (California mild climate); real-world implementation may face challenges such as varying weather patterns, equipment costs, and scalability issues. Optimization assumes ideal conditions and may not account for all practical constraints.
1:Experimental Design and Method Selection:
The study uses a simulation framework with EnergyPlus for building energy consumption modeling and OpenDSS for system simulations. A multi-objective differential evolution optimization is employed to minimize battery size and grid power flow variation.
2:Sample Selection and Data Sources:
The study models NZE homes in California's mild climate, using weather and load data. A community of 60 NZE homes is simulated, connected to an IEEE 13-node test feeder system.
3:List of Experimental Equipment and Materials:
Solar PV panels (rated 10kW), battery energy storage systems, variable power electric water heaters (rated 5kW for a 50-gallon heater), multi-port DC-AC converters, and inverters.
4:Experimental Procedures and Operational Workflow:
Simulations are conducted with a 5-minute time step over 24 hours. Power balance equations are used to derive schedules for battery and EWH operation, coordinated with solar PV generation to ensure constant power flow to the grid.
5:Data Analysis Methods:
Multi-objective optimization is performed using variables P1, P2, and t1 to define grid power flow. Results are analyzed for battery energy capacity, power ratings, and grid power fluctuations on representative summer and winter days.
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