Research on Optimal Control in Hybrid Energy Storage Systems

Yun Lu; Yong Lai Zhao

doi:10.4028/www.scientific.net/AMM.392.568

Paper Titles

Reactive Power Optimization of Distribution System with Photovoltaic Station Based on Particle Swarm Optimization
p.548

Soft-Switch Technology Application of Electric Power Communication Network
p.553

Study on the Coordination of Load Shedding and Under-Frequency Load Shedding (UFLS) in Small Weak Receiving Power System with Wind Power Penetration
p.557

Research on China's First Residential Grid-Connected Photovoltaic System
p.563

Research on Optimal Control in Hybrid Energy Storage Systems
p.568

A New Smart Substation Structure with Single Net and Single Equipment
p.572

Research on Charging and Discharging Strategies of Flywheel Energy Storage System Using Permanent Magnet Synchronous Motor
p.576

Multi-Objective Generation Scheduling for Energy-Saving and Emission Reduction
p.582

Evaluate Pumped-Storage Unit in Power System with Multi-Type Units
p.586

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 392Research on Optimal Control in Hybrid Energy...

Research on Optimal Control in Hybrid Energy Storage Systems

Abstract:

The control strategy of energy storage system will have a direct impact on their economic performance and technical performance. Based on the complementary functional for the Super-capacitors and Batteries composed of hybrid energy storage system . Established energy storage system mathematical model by the state average method, which uses fuzzy adaptive PID and conventional PID control method to control and simulation the output power of energy storage device, voltage loop and current loop of the energy storage system, and comparative analysis it. The results show that fuzzy adaptive PID control system has a better dynamic response performance and stability.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 392)

Pages:

568-571

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.392.568

Citation:

Cite this paper

Online since:

September 2013

Authors:

Yun Lu, Yong Lai Zhao

Keywords:

Battery, Fuzzy PID Adaptive Control, Hybrid Energy Storage System, State Average Method, Super-Capacitor (SC)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Ding Ming, Lin Gende, etal. A control strategy for hybrid energy storage systems[J]. Proceedings of the CSEE, 2012, 32(7): 1-6(in Chinese).

Google Scholar

[2] M. E. Choi, S. W. Kim, and S. W. Seo, Energy Management Optimization in a Battery/Supercapacitor Hybrid Energy Storage System, IEEE Trans. SmartGrid, (2011).

Google Scholar

[3] Toshifumi I, Masanori K, Akira T. A hybrid energy storage with asmes and secondary battery[J] . IEEE Trans on Applied Superconductivity, 2012, 2(15): 1915-(1918).

Google Scholar

[4] Meza J.L., Santibanez V., Soto, R., et. al. Fuzzy Self-Tuning PID Semiglobal Regulator for RobotManipulators [J]. IEEE trans. on Industrial Electron ics, 2012, 59(6): 2709-2717.

DOI: 10.1109/tie.2011.2168789

Google Scholar

[5] Liu Jinkun. MATLAB simulation of advanced PID control [M]. Beijing: Electronic Industry Press, 2011(in Chinese).

Google Scholar