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风力发电混合储能系统的火用经济分析与优化

Exergoeconomic analysis and optimization of wind power hybrid energy storage system.

作者信息

Wen Caifeng, Lyu Yalin, Du Qian, Zhang Boxin, Lian Xuhui, Wang Qiang, Hao Hongliang

机构信息

College of Energy and Power Engineering, Inner Mongolia University of Technology, Hohhot, China.

Key Laboratory of Wind Energy and Solar Energy Technology, Ministry of Education of China, Hohhot, China.

出版信息

Sci Rep. 2024 May 31;14(1):12501. doi: 10.1038/s41598-024-63247-w.

Abstract

The hybrid energy storage system of wind power involves the deep coupling of heterogeneous energy such as electricity and heat. Exergy as a dual physical quantity that takes into account both 'quantity' and 'quality, plays an important guiding role in the unification of heterogeneous energy. In this paper, the operation characteristics of the system are related to the energy quality, and the operation strategy of the wind power hybrid energy storage system is proposed based on the exergoeconomics. First, the mathematical model of wind power hybrid energy storage system is established based on exergoeconomics. Then, wind power experiments of three forms of thermal-electric hybrid energy storage are carried out, and RSM is used to analyze the power quality and exergoeconomic characteristics of the system, and the optimal working conditions of the experiment are obtained. Finally, an optimization strategy is proposed by combining experiment and simulation. The system efficiency, unit exergy cost and current harmonic distortion rate are multi-objective optimization functions. The three algorithms evaluate the optimal solution based on standard deviation. The results show that the exergoeconomics can effectively judge the production-storage-use characteristics of the new system of ' wind power + energy storage'. The thermal-electric hybrid energy storage system can absorb the internal exergy loss of the battery, increase the exergy efficiency by 10%, reduce the unit exergy cost by 0.03 yuan/KJ, and reduce the current harmonic distortion rate by 8%. It provides guidance for improving the power quality of wind power system, improving the exergy efficiency of thermal-electric hybrid energy storage wind power system and reducing the unit cost.

摘要

风力发电混合储能系统涉及电、热等异质能源的深度耦合。㶲作为一种兼顾“量”与“质”的双重物理量,在异质能源的统一中起着重要的指导作用。本文从能源品质的角度研究系统的运行特性,并基于㶲经济学提出了风力发电混合储能系统的运行策略。首先,基于㶲经济学建立了风力发电混合储能系统的数学模型。然后,开展了三种热电混合储能形式的风力发电实验,运用响应曲面法分析系统的电能质量和㶲经济特性,得到实验的最优工况。最后,结合实验与仿真提出优化策略。将系统效率、单位㶲成本和电流谐波畸变率作为多目标优化函数,三种算法基于标准差对最优解进行评估。结果表明,㶲经济学能够有效评判“风电+储能”新系统的产-储-用特性。热电混合储能系统能够吸收电池内部的㶲损失,使㶲效率提高10%,单位㶲成本降低0.03元/kJ,电流谐波畸变率降低8%。为提高风电系统电能质量、提升热电混合储能风力发电系统的㶲效率、降低单位成本提供了指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4889/11637032/71ab4715cf33/41598_2024_63247_Fig1_HTML.jpg

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