Dynamic battery loss evaluation and its application for optimal online wind‐storage integrated scheduling
Yun Zhou, Hao Su, Qiang Gui, Lei Gan, Donghan Feng, Zheng Yan, Yue Yue Fan
Abstract
The life loss of batteries caused by the daily operation implies a reduction in capital value, which is essential for the economic performance of storage‐containing systems. Most of current studies rarely considered it or simplified it to be proportional of throughput electricity, due to its multi‐factor dependence and complexity to be incorporated into dispatch models. This study presents a dynamic loss evaluation model for batteries that considers the cumulative effect of state of charge (SOC) changes. First, based on the results of battery aging test, the loss coefficient subject to SOC is derived. The general formulation of analytical battery life loss is further presented by integrating the damage effect during the change in SOC. Finally, by means of self‐optimal piecewise linearisation, the resultant life loss term is embedded in the online wind‐storage integrated scheduling. Case studies demonstrate the desirable computational complexity of the proposed evaluation method and the adaptability in general economic dispatch.