Gomaa Haroun A H, Li Yin-Ya
School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China; College of Engineering Sciences, Department of Electrical and Electronics Engineering, Nyala University, South Darfur, Nyala, Sudan.
School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China.
ISA Trans. 2017 Nov;71(Pt 2):364-379. doi: 10.1016/j.isatra.2017.09.003. Epub 2017 Sep 14.
In the fast developing world nowadays, load frequency control (LFC) is considered to be a most significant role for providing the power supply with good quality in the power system. To deliver a reliable power, LFC system requires highly competent and intelligent control technique. Hence, in this article, a novel hybrid fuzzy logic intelligent proportional-integral-derivative (FLiPID) controller has been proposed for LFC of interconnected multi-area power systems. A four-area interconnected thermal power system incorporated with physical constraints and boiler dynamics is considered and the adjustable parameters of the FLiPID controller are optimized using particle swarm optimization (PSO) scheme employing an integral square error (ISE) criterion. The proposed method has been established to enhance the power system performances as well as to reduce the oscillations of uncertainties due to variations in the system parameters and load perturbations. The supremacy of the suggested method is demonstrated by comparing the simulation results with some recently reported heuristic methods such as fuzzy logic proportional-integral (FLPI) and intelligent proportional-integral-derivative (PID) controllers for the same electrical power system. the investigations showed that the FLiPID controller provides a better dynamic performance and outperform compared to the other approaches in terms of the settling time, and minimum undershoots of the frequency as well as tie-line power flow deviations following a perturbation, in addition to perform appropriate settlement of integral absolute error (IAE). Finally, the sensitivity analysis of the plant is inspected by varying the system parameters and operating load conditions from their nominal values. It is observed that the suggested controller based optimization algorithm is robust and perform satisfactorily with the variations in operating load condition, system parameters and load pattern.
在当今快速发展的世界中，负荷频率控制（LFC）被认为是电力系统中为电力供应提供优质电能的最重要作用。为了提供可靠的电力，LFC系统需要高度胜任且智能的控制技术。因此，在本文中，提出了一种新颖的混合模糊逻辑智能比例积分微分（FLiPID）控制器，用于互联多区域电力系统的LFC。考虑了一个包含物理约束和锅炉动态特性的四区域互联热力系统，并使用采用积分平方误差（ISE）准则的粒子群优化（PSO）方案对FLiPID控制器的可调参数进行了优化。所提出的方法已被确立，以提高电力系统性能，并减少由于系统参数变化和负荷扰动引起的不确定性振荡。通过将仿真结果与最近报道的一些启发式方法（如模糊逻辑比例积分（FLPI）和智能比例积分微分（PID）控制器）应用于同一电力系统的结果进行比较，证明了所提方法的优越性。研究表明，FLiPID控制器提供了更好的动态性能，并且在调节时间、频率的最小下冲以及扰动后联络线潮流偏差方面优于其他方法，此外还能对积分绝对误差（IAE）进行适当的调节。最后，通过改变系统参数和运行负荷条件使其偏离标称值，对电厂进行了灵敏度分析。结果表明，所提出的基于控制器的优化算法具有鲁棒性，在运行负荷条件、系统参数和负荷模式变化时表现令人满意。
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