A multi-timescale operation model for hybrid energy storage system in electricity markets

Abstract

The hybrid energy storage system (HESS) connecting different types of energy storage system (ESS) can be used to handle the several timescale variations of the components in power system. In this paper, a multi-timescale economic scheduling strategy for the HESSs to participate in the wholesale energy and reserve market considering the uncertainty of load and renewable generation. The economic multi-timescale HESS scheduling is a three-level model including day-ahead scheduling, intraday operation, and real-time operation. To better cover the hybrid requirements in the stochastic problem, the operation cycle limits model is introduced to avoid the frequent switching of energy-based ESS as well as the deviation cost of HESS’s capacity is used in the finer timescale to guide the future requirement. An improved algorithm that integrates the Progressive Hedging (PH) and Dual Decomposition (DD) algorithms are used to solve this problem. The proposed strategy can realize the efficient management of HESSs to reduce the energy management complexity and system operation costs with high computation efficiency, which indicates its promising application in the HESS economic scheduling.