Open AccessPower fluctuation and allocation of hybrid energy storage system based on optimal exponential smoothing method and energy entropy
Author(s) -
Xidong Zheng,
Xiubo Jiang
Publication year - 2021
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/gtd2.12041
Subject(s) - computer science , smoothing , wind power , exponential smoothing , mathematical optimization , electric power system , energy storage , entropy (arrow of time) , control theory (sociology) , power (physics) , mathematics , engineering , control (management) , artificial intelligence , physics , quantum mechanics , electrical engineering , computer vision
In order to solve the problems of power quality reduction and power fluctuation caused by large‐scale wind power grid‐connected, an advanced control strategy to smooth the power fluctuation and allocation of hybrid energy storage system is proposed. Based on theoretical researches, the mathematical model of hybrid energy storage system is adopted to well analyse the fluctuation and smoothing strategy of wind power. Compared with the traditional filtering algorithms, the study proposes a method combined optimal exponential smoothing with complete ensemble empirical mode decomposition with adaptive noise and normalized energy entropy to improve the accuracy of grid‐connected output power and power allocation. Furthermore, the fuzzy control theory is used to improve the reliability of the algorithm after obtaining the smoothed power output and initial power allocation instructions. To prove the validity of the algorithm, case studies are constructed to demonstrate the performance in this paper. Experiments and example simulations show that the proposed method can effectively realize adaptive power allocation and improve the accuracy of identification. After effectively improving the efficiency and service life of the energy storage system, it provides a basis for large‐scale grid operation.