Approximate dynamic programming based supplementary frequency control of thermal generators in power systems with large-scale renewable generation integration

Wentao Guo, Feng Liu, S. Mei, J. Si, D. He, R. Harley
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引用次数: 7

Abstract

Intermittent electricity generation from renewable sources is characterized by a wide range of fluctuations in frequency spectrum. The medium-frequency component of 0.01 Hz-1 Hz cannot be filtered out by system inertia and automatic generation control (AGC) and thus it results in deterioration of frequency quality. In this paper, an approximate dynamic programming (ADP) based supplementary frequency controller for thermal generators is developed to attenuate renewable generation fluctuation in medium-frequency range. A policy iteration based training algorithm is employed for online and model-free learning. Our simulation results demonstrate that the proposed supplementary frequency controller can effectively adapt to changes in the system and provide improved frequency control. Further sensitivity analysis validates that the supplementary frequency controller significantly attenuates the dependence of frequency deviation on the medium-frequency component of renewable generation fluctuation.
基于近似动态规划的大型可再生能源发电系统火电机组补充频率控制
可再生能源间歇性发电的特点是频谱波动幅度很大。0.01 Hz- 1hz的中频分量不能被系统惯性和自动生成控制(AGC)滤除,导致频率质量恶化。本文提出了一种基于近似动态规划(ADP)的火力发电补频控制器,以减小中频范围内可再生能源发电的波动。在线学习和无模型学习采用了基于策略迭代的训练算法。仿真结果表明,所提出的补充频率控制器能够有效地适应系统的变化,提供更好的频率控制。进一步的灵敏度分析验证了补频控制器显著减弱了频率偏差对可再生能源发电波动中频分量的依赖性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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