基于AOA的风力发电系统AVR-LFC组合模型最优控制

IF 1.5 Q4 ENERGY & FUELS
Amita Singh, Veena Sharma, Vineet Kumar, R. Naresh, O. P. Rahi
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引用次数: 0

摘要

本文以某风力发电机组为例,采用基于算法优化算法的模型预测控制器(AOA-MPC)进行电压和频率的组合控制。本文的工作考虑了由风力发电机输出的小随机漂移和突然确定性变化引起的风输出的随机变化。在评估时间响应性能规格/指标并将其与文献中现有的最新方法进行比较后,对所提出的控制器的性能进行了判断。将氧化还原液流电池(RFB)回路作为辅助负载频率控制回路,进一步改善了频率振荡的减少。此外,在负载频率控制回路的区域控制误差(ACE)中,测试了该算法在不同非线性和时滞情况下的计算潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AOA based optimal control of combined AVR-LFC model in wind integrated power system
This manuscript analyses a case study of a wind-integrated power plant where an Arithmetic Optimization Algorithm-based Model Predictive Controller (AOA-MPC) has been employed for the combined control of voltage and frequency. The work in this manuscript considers stochastic variations in wind output caused by the small stochastic drifts and sudden deterministic shifts in the wind turbine output. The proposed controller’s performance has been judged after assessing the time response performance specifications/indices and comparing it with the existing recent methodologies available in the literature. Further improvement in frequency oscillations reduction has been obtained while considering the Redox Flow Battery (RFB) loop as an auxiliary Load Frequency Control loop. Moreover, the computational potential of the presented algorithm has been tested under different nonlinearities and time delay cases in the Area Control Error (ACE) of the load frequency control (LFC) loop.
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来源期刊
Wind Engineering
Wind Engineering ENERGY & FUELS-
CiteScore
4.00
自引率
13.30%
发文量
81
期刊介绍: Having been in continuous publication since 1977, Wind Engineering is the oldest and most authoritative English language journal devoted entirely to the technology of wind energy. Under the direction of a distinguished editor and editorial board, Wind Engineering appears bimonthly with fully refereed contributions from active figures in the field, book notices, and summaries of the more interesting papers from other sources. Papers are published in Wind Engineering on: the aerodynamics of rotors and blades; machine subsystems and components; design; test programmes; power generation and transmission; measuring and recording techniques; installations and applications; and economic, environmental and legal aspects.
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