Dynamic wavelet decomposition based multi-objective operation model for HESS enabling wind power output smoothing

摘要

The uncertainty of wind generation brings risk to power grid due to the variability and intermittency of wind. One promising technique to address challenge is deploying hybrid energy storage system (HESS) in wind energy conversion system to shape the wind power output by coordinating the operation of multi-type storage devices. In this paper, a multi-objective operation model of HESS based on dynamic wavelet decomposition (DWD) is presented. The model is characterized by two novelties: i) Life-cycle cost of storage devices and smoothness performance of wind output are simultaneously considered in the objective; ii) Parameters of wavelet analytics need to be optimally determined in a predictive control scheme. An improved NSGA-II is designed to provide efficient solution by analyzing Pareto frontier. A realistic case is studied to validate the presented method.