Daraz Amil, Malik Suheel Abdullah, Haq Ihsan Ul, Khan Khan Bahadar, Laghari Ghulam Fareed, Zafar Farhan
Department of Electrical Engineering, Faculty of Engineering and Technology, International Islamic University, Islamabad, Pakistan.
Department of Telecommunication Engineering, Faculty of Engineering and Technology, The Islamia University of Bahawalpur, Bahawalpur, Pakistan.
PLoS One. 2020 Nov 20;15(11):e0242428. doi: 10.1371/journal.pone.0242428. eCollection 2020.
In this paper, a modified form of the Proportional Integral Derivative (PID) controller known as the Integral- Proportional Derivative (I-PD) controller is developed for Automatic Generation Control (AGC) of the two-area multi-source Interconnected Power System (IPS). Fitness Dependent Optimizer (FDO) algorithm is employed for the optimization of proposed controller with various performance criteria including Integral of Absolute Error (IAE), Integral of Time multiplied Absolute Error (ITAE), Integral of Time multiplied Square Error (ITSE), and Integral Square Error (ISE). The effectiveness of the proposed approach has been assessed on a two-area network with individual source including gas, hydro and reheat thermal unit and then collectively with all three sources. Further, to validate the efficacy of the proposed FDO based PID and I-PD controllers, comprehensive comparative performance is carried and compared with other controllers including Differential Evolution based PID (DE-PID) controller and Teaching Learning Based Optimization (TLBO) hybridized with Local Unimodal Sampling (LUS-PID) controller. The comparison of outcomes reveal that the proposed FDO based I-PD (FDO-I-PD) controller provides a significant improvement in respect of Overshoot (Osh), Settling time (Ts), and Undershoot (Ush). The robustness of an I-PD controller is also verified by varying parameter of the system and load variation.
本文针对两区域多源互联电力系统(IPS)的自动发电控制(AGC),开发了一种改进形式的比例积分微分(PID)控制器,即积分-比例微分(I-PD)控制器。采用适应度相关优化器(FDO)算法,依据包括绝对误差积分(IAE)、时间乘以绝对误差积分(ITAE)、时间乘以平方误差积分(ITSE)和平方误差积分(ISE)在内的各种性能指标,对所提出的控制器进行优化。所提方法的有效性已在一个包含天然气、水电和再热热力机组等单个电源的两区域网络上进行评估,随后又对包含所有三种电源的情况进行了评估。此外,为验证所提基于FDO的PID和I-PD控制器的有效性,进行了全面的对比性能测试,并与其他控制器进行比较,包括基于差分进化的PID(DE-PID)控制器以及与局部单峰采样(LUS-PID)控制器相结合的基于教学学习优化(TLBO)的控制器。结果比较表明,所提基于FDO的I-PD(FDO-I-PD)控制器在超调量(Osh)、调节时间(Ts)和欠调量(Ush)方面有显著改善。还通过改变系统参数和负载变化来验证I-PD控制器的鲁棒性。