Purpose

By means of the massive environmental and financial reimbursements, wind turbine (WT) has turned out to be a satisfactory substitute for the production of electricity by nuclear or fossil power plants. Numerous research studies are nowadays concerning the scheme to develop the performance of the WT into a doubly fed induction generator-low voltage ride-through (DFIG-LVRT) system, with utmost gain and flexibility. To overcome the nonlinear characteristics of WT, a photovoltaic (PV) array is included along with the WT to enhance the system’s performance.

Design/methodology/approach

This paper intends to simulate the control system (CS) for the DFIG-LVRT system with PV array operated by the MPPT algorithm and the WT that plays a major role in the simulation of controllers to rectify the error signals. This paper implements a novel method called self-adaptive whale with fuzzified error (SWFE) design to simulate the optimized CS. In addition, it distinguishes the SWFE-based LVRT system with standard LVRT system and the system with minimum and maximum constant gain.

Findings

Through the performance analysis, the value of gain with respect to the number of iterations, it was noted that at 20th iteration, the implemented method was 45.23% better than genetic algorithm (GA), 50% better than particle swarm optimization (PSO), 2.3% better than ant bee colony (ABC) and 28.5% better than gray wolf optimization (GWO) techniques. The investigational analysis has authenticated that the implemented SWFE-dependent CS was effectual for DFIG-LVRT, when distinguished with the aforementioned techniques.

Originality/value

This paper presents a technique for simulating the CS for DFIG-LVRT system using the SWFE algorithm. This is the first work that utilizes SWFE-based optimization for simulating the CS for the DFIG-LVRT system with PV array and WT.

中文翻译：

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借助与风力涡轮机相连的MPPT算法增强光伏阵列的低压穿越能力

目的

通过大量的环境和财政补偿，风力涡轮机（WT）成为了核电厂或化石电厂发电的令人满意的替代品。如今，有关将WT的性能开发为具有最大增益和灵活性的双馈感应发电机-低压穿越（DFIG-LVRT）系统的方案的研究很多。为了克服WT的非线性特性，光伏（PV）阵列与WT一起被包括在内，以增强系统的性能。

设计/方法/方法

本文旨在模拟由MPPT算法和WT操纵的PV阵列的DFIG-LVRT系统的控制系统（CS），该WT在控制器的仿真中起着主要作用，以纠正误差信号。本文实现了一种新的方法，称为带有模糊误差的自适应鲸鱼（SWFE）设计，以仿真优化的CS。此外，它还将基于SWFE的LVRT系统与标准LVRT系统以及具有最小和最大恒定增益的系统区分开来。

发现

通过性能分析，得出相对于迭代次数的增益值，发现在第20次迭代时，所实现的方法比遗传算法（GA）好45.23％，比粒子群优化（PSO）好50％，比蚁群（ABC）好2.3％，比灰太狼优化（GWO）技术好28.5％。研究分析证明，当与上述技术区分开时，所实现的依赖SWFE的CS对于DFIG-LVRT是有效的。

创意/价值

本文提出了一种使用SWFE算法模拟DFIG-LVRT系统CS的技术。这是利用基于SWFE的优化为带有PV阵列和WT的DFIG-LVRT系统模拟CS的第一项工作。