压缩空气膨胀发电系统最大效率跟踪控制策略

doi:10.12028/j.issn.2095-4239.2016.0028

摘要/Abstract

摘要： 传统微小型压缩空气储能膨胀发电系统通过变速箱来降低转速，使其输出电能满足功率需求，这种方式下膨胀机无法根据流量变化工作在相应的最大效率点，同时，变速箱的接入增加了系统损耗、占地、维护成本，降低了膨胀发电环节效率。考虑变流器灵活的转速控制与功率控制能力，本文在去掉变速箱的同时将变流器引入，在充分考虑热、气、电耦合因素下，结合相似理论提出了膨胀发电系统最高效率点跟踪控制策略，通过转速控制使膨胀机在不同功率指令下均达到效率最优。并对膨胀发电系统进行建模仿真，结果表明，变流器具有灵活的控制能力，系统在不同功率需求下均稳定运行，不但可以实时调节转速跟踪参考值，而且膨胀机在不同功率需求下均工作在最大效率，实现最佳工作状态运行。

关键词: 膨胀发电系统, 控制策略, 双PWM变流器, 压缩空气储能

Abstract: The speed of generator is adjusted through the gearbox in traditional compressed air energy storage (CAES) technology, thus enables the output of the generator to meet the demand. However, the expander does not always work in accordance with the maximum efficiency point when flowrate changes in such a configuration. Furthermore, the use of the gearbox leads to increased system loss, footprint and maintenance cost, and reduced system efficiency. This work considers the use of a converter instead of a gearbox due to the flexibility of speed control and power control capability of the converter, and control strategy for tracking the maximum efficiency point of the expander-generator system. Such a strategy takes into account heat, gas and electricity, and is based on the similarity theory. A model is built for the expander-generator system and simulation using the model shows that converter has the expected flexible control ability and the expander-generator system can operate stably under different grid requirements. At the same time, the speed control can be done using the real-time tracking as reference value, making the expander work at the highest efficiency under different power demands and expander-generator system operate under the best working conditions.

Key words: expander-generator system, control strategy, back-to-back PWM converter, CAES

宋洁1，赵波1，梁丹曦2，刘海军1. 压缩空气膨胀发电系统最大效率跟踪控制策略[J]. 储能科学与技术, 2017, 6(1): 154-161.

SONG Jie1, ZHAO Bo1, LIANG Danxi2, LIU Haijun1. Strategy for tracking maximum efficiency of a expander-generator system of compressed air energy storage[J]. Energy Storage Science and Technology, 2017, 6(1): 154-161.

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