ABSTRACT

This paper proposes a novel Improved Artificial Electric Field Algorithm (IAEF)-based AGC in a multi-area power system to minimize the area control error and to obtain an optimal solution. Here, four area AGC systems equipped with the PID controller are examined for the study processes. Also, an optimal gain value for the PID controller is obtained by employing an IAEFA; thus minimizing the area control error (ACE). In addition to this, nine different test functions are employed to evaluate the performances of the proposed IAEF-based AGC of a multi-area power system and are compared with several optimization approaches such as AEF algorithm, BBO Algorithm, PSO Algorithm as well as DE Algorithm. Also, the performance evaluation based on three different simulation strategies such as simulation based on time domain, Random disturbances of the AGC system as well as System Dynamics for maximum frequency deviation and Percentage Improvement for a four area power system. Here, the maximum frequency deviations for four areas are −0.0132, −0.0145, −0.0122 and −0.0120, respectively. Moreover, the percentage improvements with respect to the IAEF with respect to the PID controllers are 67.32%, 57.21%, 47.26% and 55.47%, respectively. The experimental analysis reveals that the proposed approach provides very less tie-line control error and better optimal tuning of the PID controller when compared with all other approaches.

摘要

本文在多区域电力系统中提出了一种基于改进人工电场算法 (IAEF) 的新型 AGC，以最小化区域控制误差并获得最佳解决方案。在这里，四个配备 PID 控制器的区域 AGC 系统被检查用于研究过程。此外，PID 控制器的最佳增益值是通过采用 IAEFA 获得的；从而最小化区域控制误差 (ACE)。除此之外，还采用了九种不同的测试函数来评估所提出的基于 IAEF 的多区域电力系统 AGC 的性能，并与多种优化方法（如 AEF 算法、BBO 算法、PSO 算法以及 DE 算法）进行比较算法。此外，基于三种不同仿真策略的性能评估，例如基于时域的仿真，AGC 系统的随机扰动以及最大频率偏差的系统动力学和四区域电力系统的百分比改进。这里，四个区域的最大频率偏差分别为-0.0132、-0.0145、-0.0122 和-0.0120。此外，相对于 IAEF，PID 控制器的改进百分比分别为 67.32%、57.21%、47.26% 和 55.47%。实验分析表明，与所有其他方法相比，所提出的方法提供了非常少的联络线控制误差和更好的 PID 控制器优化调整。相对于 IAEF，PID 控制器的改进百分比分别为 67.32%、57.21%、47.26% 和 55.47%。实验分析表明，与所有其他方法相比，所提出的方法提供了非常少的联络线控制误差和更好的 PID 控制器优化调整。相对于 IAEF，PID 控制器的改进百分比分别为 67.32%、57.21%、47.26% 和 55.47%。实验分析表明，与所有其他方法相比，所提出的方法提供了非常少的联络线控制误差和更好的 PID 控制器优化调整。