Open Access

ARTICLE

The Correlation between the Power Quality Indicators and Entropy Production Characteristics of Wind Power + Energy Storage Systems

by Caifeng Wen^1,2, Boxin Zhang^1,*, Yuanjun Dai³, Wenxin Wang⁴, Wanbing Xie¹, Qian Du¹

1 School of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, 010080, China
2 Ministry of Education Key Laboratory of Wind and Solar Energy Utilization Technology, Hohhot, 010080, China
3 School of Mechanical Engineering, Shanghai Institute of Electrical Engineering, Shanghai, 201306, China
4 School of Civil Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China

* Corresponding Author: Boxin Zhang. Email:

(This article belongs to the Special Issue: Wind Energy Development and Utilization)

Energy Engineering 2024, 121(10), 2961-2979. https://doi.org/10.32604/ee.2024.041677

Received 01 May 2023; Accepted 05 September 2023; Issue published 11 September 2024

Abstract

Power quality improvements help guide and solve the problems of inefficient energy production and unstable power output in wind power systems. The purpose of this paper is mainly to explore the influence of different energy storage batteries on various power quality indicators by adding different energy storage devices to the simulated wind power system, and to explore the correlation between system entropy generation and various indicators, so as to provide a theoretical basis for directly improving power quality by reducing loss. A steady-state experiment was performed by replacing the wind wheel with an electric motor, and the output power qualities of the wind power system with and without energy storage were compared and analyzed. Moreover, the improvement effect of different energy storage devices on various indicators was obtained. Then, based on the entropy theory, the loss of the internal components of the wind power system generator is simulated and explored by Ansys software. Through the analysis of power quality evaluation indicators, such as current harmonic distortion rate, frequency deviation rate, and voltage fluctuation, the correlation between entropy production and each evaluation indicator was explored to investigate effective methods to improve power quality by reducing entropy production. The results showed that the current harmonic distortion rate, voltage fluctuation, voltage deviation, and system entropy production are positively correlated in the tests and that the power factor is negatively correlated with system entropy production. In the frequency range, the frequency deviation was not significantly correlated with the system entropy production.

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Keywords

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