Purpose

In computer application scenario, data mining task is rarely utilized in power system, as an enhanced part, this work presented data mining task in power systems, to overcome frequency deviation issues. Load frequency control (LFC) is a primary challenging problem in an interconnected multi-area power system.

Design/methodology/approach

This paper adopts lion algorithm (LA) for the LFC of two area multi-source interconnected power systems. The LA calculates the optimal gains of the fractional order PI (FOPI) controller and hence the proposed LA-based FOPI controller (LFOPI) is developed.

Findings

For the performance analysis, the proposed algorithm compared with various algorithm is given as, 80.6% lesser than the FOPI algorithm, 2.5% lesser than the GWO algorithm, 2.5% lesser than the HSA algorithm, 4.7% lesser than the BBO algorithm, 1.6% lesser than PSO algorithm and 80.6% lesser than the GA algorithm.

Originality/value

The LFOPI controller is the proposed controlling method, which is nothing but the FOPI controller that gets the optimal gain using the LA. This method produces better performance in terms of converging behavior, optimization of controller gain, transient profile and steady-state response.

中文翻译：

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LFOPI控制器：两区域多源互联电力系统中基于分数阶PI控制器的负载频率控制

目的

在计算机应用场景中，数据挖掘任务很少在电力系统中使用，作为增强部分，这项工作提出了电力系统中的数据挖掘任务，以克服频率偏差问题。负载频率控制（LFC）是互连多区域电力系统中的主要挑战性问题。

设计/方法/方法

本文针对两区域多源互联电力系统的LFC采用狮子算法（LA）。洛杉矶计算分数阶PI（FOPI）控制器的最佳增益，因此开发了建议的基于LA的FOPI控制器（LFOPI）。

发现

对于性能分析，与各种算法相比，所提出的算法分别比FOPI算法小80.6％，GWO算法小2.5％，HSA算法小2.5％，BBO算法小4.7％，1.6％比PSO算法小，比GA算法小80.6％。

创意/价值

LFOPI控制器是所提出的控制方法，它不过是使用LA获得最佳增益的FOPI控制器。该方法在收敛行为，优化控制器增益，瞬态曲线和稳态响应方面产生了更好的性能。