Abstract
Circular economy in power systems involves new circular management of battery energy storage systems, featuring sustainable operation with lifespan extension. Proper daily operations of batteries can prolong their lifetime and vice versa. However, the time scale difference between the service time and the short-term operation makes it challenging to engage the targeted lifespan into daily economic operations. This article proposes a dynamic framework for health-informed optimal power flow (OPF) to reach the battery expected lifespan by offering the optimal feasible operation space. The expected service lifespan is achieved if the battery’s daily working condition is confined within such evolving feasible domains throughout its service time. Economical operation of the battery is scheduled based on OPF that integrates such feasible domains upon convexification for higher computational efficiency. A Monte Carlo-based data-driven method is developed to unveil the correlation between the remaining useful life (RUL) and operational states as well as the battery health indicator. The proposed method and constructed regions have been effectively validated under multiple scenarios with different operating modes. With the IEEE 39-bus test case, numerical results show that the constructed health-informed OPF can boost the mean value of the battery’s RUL up to 48.79%.
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