Battery Energy Storage Station (BESS)-Based Smoothing Control of Photovoltaic (PV) and Wind Power Generation Fluctuations

Author

Xiangjun Li ; Dong Hui ; Xiaokang Lai

Author_Institution

Electr. Eng. & New Mater. Dept., China Electr. Power Res. Inst., Beijing, China

Volume

4

Issue

2

fYear

2013

fDate

4/1/2013 12:00:00 AM

Firstpage

464

Lastpage

473

Abstract

The battery energy storage station (BESS) is the current and typical means of smoothing wind- or solar-power generation fluctuations. Such BESS-based hybrid power systems require a suitable control strategy that can effectively regulate power output levels and battery state of charge (SOC). This paper presents the results of a wind/photovoltaic (PV)/BESS hybrid power system simulation analysis undertaken to improve the smoothing performance of wind/PV/BESS hybrid power generation and the effectiveness of battery SOC control. A smoothing control method for reducing wind/PV hybrid output power fluctuations and regulating battery SOC under the typical conditions is proposed. A novel real-time BESS-based power allocation method also is proposed. The effectiveness of these methods was verified using MATLAB/SIMULINK software.

Keywords

adaptive control; battery storage plants; hybrid power systems; photovoltaic power systems; power generation control; wind power plants; BESS; MATLAB-SIMULINK software; battery SOC control; battery energy storage station; battery state of charge; hybrid power system simulation analysis; photovoltaic power generation; power allocation; smoothing control; smoothing performance; wind power generation fluctuations; Batteries; Hybrid power systems; Smoothing methods; System-on-chip; Wind power generation; Adaptive smoothing control; battery energy storage station (BESS); solar power generation; state of charge (SOC); wind power generation;

fLanguage

English

Journal_Title

Sustainable Energy, IEEE Transactions on

Publisher

ieee

ISSN

1949-3029

Type

jour

DOI

10.1109/TSTE.2013.2247428

Filename

6473871