For making the grid to be more intelligent, a unique design is required in this changing sphere. A better-automated grid is more important for controlling the variations in the entire system. This is possible by introducing secondary controllers where both power and voltage are shifted at necessary stages. Therefore, in this article, a Neural Fizzy Identification System with Partial Integral Controller (NFISPID) is introduced. Also, a secondary controller named Selective Voltage Pulse Width Modulation with Hybrid Artificial Bee Colony-Particle Swarm Optimization technique is incorporated for handling all false situations in the grid. The efficiency of the proposed system is checked with MATLAB environment where the results prove to be much efficient in terms of all parametric values, and the grid becomes stable within a short span of time than other existing controllers.

为了使电网更加智能，在这个不断变化的领域中需要独特的设计。自动化程度更高的网格对于控制整个系统的变化更为重要。这可以通过引入次级控制器来实现，其中功率和电压都在必要的阶段移动。因此，在本文中，介绍了一种带有部分积分控制器（NFISPID）的神经泡沫识别系统。此外，一个名为选择性电压脉冲宽度调制与混合人工蜂群-粒子群优化技术的二级控制器被合并用于处理电网中的所有错误情况。使用 MATLAB 环境检查所提出系统的效率，结果证明在所有参数值方面都非常有效，