Customer-Led Operation of Residential Storage for the Provision of Energy Services

As residential battery energy storage (BES) and solar PV systems are becoming increasingly popular, the opportunity arises for these devices to be used in the provision of services, enabling customers to further benefit from their investment. This, however, requires an adequate household-level control strategy to maximize customer benefits considering revenues (provision of energy services), cost (grid imports), and the inherent near real-time changes in demand and generation. This work proposes a time-composite rolling-horizon optimization for the provision of energy services, where a mix of high and low granularity periods are used in a mixed-integer linear optimization problem. The effectiveness of the approach is demonstrated in a year-long case study considering real smart meter demand, generation as well as pricing data from Victoria, Australia. The results show that while customers experience a small increase in grid imports, the revenues from the provision of energy services lead to an overall net benefit.