改进型 PSO 优化级联 FOPI-FOPIDN 用于带可再生能源的互联电力系统中的负载频率控制

Yaw O. M. Sekyere, Francis B. Effah, Philip Y. Okyere
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引用次数: 0

摘要

在电力系统的运行和控制中,负荷频率控制(LFC)在确保互联电力系统的稳定性和可靠性方面发挥着至关重要的作用。高度可变和间歇性可再生能源的大量渗透给现代电力系统带来了新的挑战,使传统的控制策略无法奏效。为应对这些新挑战,本文提出了一种新型 LFC 策略,该策略采用带导数滤波器的级联分数阶比例积分-分数阶比例积分导数(FOPI-FOPIDN)作为控制器。FOPI-FOPIDN 的参数采用文献中称为 ADIWACO 的粒子群优化(PSO)变体进行优化。通过对两区和三区测试系统进行大量仿真,并与文献中最新的 LFC 控制策略进行性能比较,验证了所提策略的有效性和可扩展性。评估所采用的性能指标包括:ITAE 值、连接线上的功率流偏差、控制区域的频率偏差,以及电力系统在多个实验场景中受到的不同负荷和可再生能源发电干扰。其中一个方案考虑了调速器死区、通信时间延迟和发电率限制,以进行更真实的评估。同样,通过将三区测试系统的参数改变 ± 50%,验证了控制器对不确定模型参数的鲁棒性。仿真结果证实了控制器的鲁棒性,以及在上述性能指标方面优于对比的 LFC 策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimally tuned cascaded FOPI-FOPIDN with improved PSO for load frequency control in interconnected power systems with RES
In the operation and control of power systems, load frequency control (LFC) plays a critical role in ensuring the stability and reliability of interconnected power systems. Modern power systems with significant penetration of highly variable and intermittent renewable sources present new challenges that make traditional control strategies ineffective. To address these new challenges, this paper proposes a novel LFC strategy that employs a cascaded fractional-order proportional integral-fractional-order proportional integral derivative with a derivative filter (FOPI-FOPIDN) as a controller. The parameters of the FOPI-FOPIDN are optimised using a variant of the particle swarm optimization (PSO) in the literature called ADIWACO. The effectiveness and scalability of the proposed strategy are validated by extensive simulations conducted on two- and three-area test systems and performance comparisons with recent LFC control strategies in the literature. The performance metrics used for the evaluation are ITAE values, deviations in the power flows in the tie-lines, and deviations in the frequencies of the control areas with the power systems subjected to diverse load and RES generation disturbances in several experimental scenarios. Governor dead band, communication time delay, and generation rate constraints are considered in one of the scenarios for more realistic evaluation. Again, the controller’s robustness to uncertain model parameters is validated by varying the parameters of the three-area test system by ± 50%. The simulation results obtained confirm the controller’s robustness and its superiority over the comparison LFC strategies in terms of the above performance metrics.
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