Abstract
Considering natural stochastic power fluctuation as well as existing of fast varying local loads, power quality and stability problems are unavoidable in low-voltage microgrid power systems, especially in isolated operating modes. The main goal of this research is to design a power management system based on a wavelet filter, in which the frequency components of excess power, i.e., the difference between the generated power and the consumed power, are separated from each other and the high-frequency components are assigned to the supercapacitor and the low-frequency components to the battery. Using this method, the supercapacitor has the most effective performance in the hybrid energy storage system, which reduces the fluctuation of the battery charge level and increases its lifespan. For this purpose, two optimized PI controllers are used to make batteries and supercapacitors to store generated reference currents by the proposed energy management system. In this regard, the coefficients of the PI controllers have been optimized using the grey wolf optimization method. The proposed algorithm examined in the case study hybrid DC-microgrid system in Simulink/Matlab. The simulation results confirm that the proposed supervisory algorithm improves the microgrid dynamic and static performance under different operating conditions.
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs41939-024-00387-6/MediaObjects/41939_2024_387_Fig1_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs41939-024-00387-6/MediaObjects/41939_2024_387_Fig2_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs41939-024-00387-6/MediaObjects/41939_2024_387_Fig3_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs41939-024-00387-6/MediaObjects/41939_2024_387_Fig4_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs41939-024-00387-6/MediaObjects/41939_2024_387_Fig5_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs41939-024-00387-6/MediaObjects/41939_2024_387_Fig6_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs41939-024-00387-6/MediaObjects/41939_2024_387_Fig7_HTML.png)
![](http://media.springernature.com/m312/springer-static/image/art%3A10.1007%2Fs41939-024-00387-6/MediaObjects/41939_2024_387_Fig8_HTML.png)
Similar content being viewed by others
References
Ates Y, Erdinc O, Uzunoglu M, Vural B (2010) Energy management of an FC/UC hybrid vehicular power system using a combined neural network-wavelet transform based strategy. Int J Hydrogen Energy 35(2):774–783
Azbe V, Mihalic R (2006) Distributed generation from renewable sources in an isolated DC network. Renewable Energy 31(14):2370–2384
Bilgin S, Çolak OH, Koklukaya E, Arı N (2008) Efficient solution for frequency band decomposition problem using wavelet packet in HRV. Digit Signal Process 18(6):892–899
Cimuca GO, Saudemont C, Robyns B, Radulescu MM (2006) Control and performance evaluation of a flywheel energy-storage system associated to a variable-speed wind generator. IEEE Trans Ind Electron 53(4):1074–1085
Degobert P, Kreuawan S, Guillaud X (2006) Use of super capacitors to reduce the fast fluctuations of power of a hybrid system composed of photovoltaic and micro turbine. IEEE, pp 1223–1227
Erdinc O, Vural B, Uzunoglu M (2009a) A wavelet-fuzzy logic based energy management strategy for a fuel cell/battery/ultra-capacitor hybrid vehicular power system. J Power Sources 194(1):369–380
Erdinc O, Vural B, Uzunoglu M, Ates Y (2009b) Modeling and analysis of an FC/UC hybrid vehicular power system using a wavelet-fuzzy logic based load sharing and control algorithm. Int J Hydrogen Energy 34(12):5223–5233
Etemadi AH, Sanaye-Pasand M (2008) High-impedance fault detection using multi-resolution signal decomposition and adaptive neural fuzzy inference system. IET Gen Transm Distrib 2(1):110–118
Gao W, Zheglov V, Wang G, Mahajan SM (2009) PV-wind-fuel cell-electrolyzer micro-grid modeling and control in real time digital simulator. IEEE, pp 29–34
Gupta A, Saini RP, Sharma MP (2010) Steady-state modelling of hybrid energy system for off grid electrification of cluster of villages. Renewable Energy 35(2):520–535
Ito Y, Zhongqing Y, Akagi H (2004) DC microgrid based distribution power generation system, vol 3. IEEE, pp 1740–1745
Kakigano H, Miura Y, Ise T, Uchida R (2007) DC voltage control of the DC micro-grid for super high quality distribution. IEEE, pp 518–525
Kakigano H, Miura Y, Ise T, Momose T, Hayakawa H (2008) Fundamental characteristics of DC microgrid for residential houses with cogeneration system in each house. IEEE, pp 1–8
Kim S-K, Jeon J-H, Cho C-H, Ahn J-B, Kwon S-H (2008) Dynamic modeling and control of a grid-connected hybrid generation system with versatile power transfer. IEEE Trans Ind Electron 55(4):1677–1688
Nakayama T, Yagai T, Tsuda M, Hamajima T (2009) Micro power grid system with SMES and superconducting cable modules cooled by liquid hydrogen. IEEE Trans Appl Supercond 19(3):2062–2065
Obara SY (2007) Analysis of a fuel cell micro-grid with a small-scale wind turbine generator. Int J Hydrogen Energy 32(3):323–336
Parikh UB, Das B, Maheshwari RP (2008) Combined wavelet-SVM technique for fault zone detection in a series compensated transmission line. IEEE Trans Power Deliv 23(4):1789–1794
Paska J, Biczel P, Klos M (2009) Technical and economic aspects of electricity storage systems co-operating with renewable energy sources. IEEE, pp 1–6
Saito N, Niimura T, Koyanagi K, Yokoyama R (2009) Quantitative evaluations of CO2 reduction by microgrid with PV and battery. IEEE, pp 1–5
Sun X-D, Koh K-H, Yu B-G, Matsui M (2009) Fuzzy-logic-based V/f control of an induction motor for a DC grid power-levelling system using flywheel energy storage equipment. IEEE Trans Ind Electron 56(8):3161–3168
Zahran M, Dmowski A, Kras B, Biczel P, Drazkiewicz J (2000) PV battery wind-turbine public-grid hybrid power supply for telecom-equipment, system management and control, vol 2. IEEE, pp 1252–1260
Zhang X, Liu J, Liu T, Zhou L (2010) A novel power distribution strategy for parallel inverters in islanded mode microgrid. IEEE, pp 2116–2120
Funding
This study was supported by 2020 Henan Province Higher Vocational School Young Backbone Teacher Training Program: Urban Transportation Carbon Emissions Assessment and strategy research, 2020 GZGG084; 2021 Henan Province Higher Education Teaching Reform Research and Practice Project: New Energy vehicle-related professional curriculum system integrated design and construction, 2021 SJGLX830; Key Scientific Research Project of Higher Education Institutions in Henan Province: Research on SOH estimation model for lithium batteries based on chaotic state, Project No. 24B48005.
Author information
Authors and Affiliations
Contributions
Tao Yang: writing—original draft preparation, conceptualization, supervision, project administration. Dandan Song: software, formal analysis, methodology, language review.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no competing of interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Yang, T., Song, D. Design of optimal wavelet-based energy management for hybrid energy storage systems in DC-microgrids to increase the battery lifetime. Multiscale and Multidiscip. Model. Exp. and Des. (2024). https://doi.org/10.1007/s41939-024-00387-6
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s41939-024-00387-6