Robust frequency control in a renewable penetrated power system: an adaptive updates fractional order-fuzzy approach

Anil Annarnraju; Srikanth Nandiraju

doi:10.1186/s41601-019-0130-8

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Robust frequency control in a renewable penetrated power system: an adaptive updates fractional order-fuzzy approach

Original Research | 更新时间：2026-09-30

- Robust frequency control in a renewable penetrated power system: an adaptive updates fractional order-fuzzy approach
- Robust frequency control in a renewablepenetrated power system: an adaptivefractional order-fuzzy approach
- 现代电力系统保护与控制（英文） 2019年4卷第3期页码：1-15
- 作者机构：
  
  Department of Electrical Engineering, National Institute of Technology Warangal, Warangal, Telangana,India
- 作者简介：
- 基金信息：
- DOI：10.1186/s41601-019-0130-8
  中图分类号：
- 纸质出版：2019-07-01
- 稿件说明：
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Anil Annarnraju, Srikanth Nandiraju. Robust frequency control in a renewable penetrated power system: an adaptive updates fractional order-fuzzy approach[J]. 现代电力系统保护与控制（英文）, 2019,4(3):1-15.

Anil Annarnraju, Srikanth Nandiraju. Robust frequency control in a renewablepenetrated power system: an adaptivefractional order-fuzzy approach[J]. Protection and Control of Modern Power Systems, 2019, 4(3): 1-15.
Anil Annarnraju, Srikanth Nandiraju. Robust frequency control in a renewable penetrated power system: an adaptive updates fractional order-fuzzy approach[J]. 现代电力系统保护与控制（英文）, 2019,4(3):1-15. DOI： 10.1186/s41601-019-0130-8.

Anil Annarnraju, Srikanth Nandiraju. Robust frequency control in a renewablepenetrated power system: an adaptivefractional order-fuzzy approach[J]. Protection and Control of Modern Power Systems, 2019, 4(3): 1-15. DOI： 10.1186/s41601-019-0130-8.

摘要

Purpose: Load frequency control (LFC) in today's modern power system is getting complex

due to intermittency in the output power of renewable energy sources along with substantial changes in the system parameters and loads. To address this problem

this paper proposes an adaptive fractional order (FO)-fuzzy-PID controller for LFC of a renewable penetrated power system. Design/methodology/approach: To examine the performance of the proposed adaptive FO-fuzzy-PID controller

four different types of controllers that includes optimal proportional-integral-derivative (PID) controller

optimal fractional order (FO)-PID controller

optimal fuzzy PID controller

optimal FO-fuzzy PID controller are compared with the proposed approach. The dynamic response of the system relies upon the parameters of these controllers

which are optimized by using teaching-learning based optimization (TLBO) algorithm. The simulations are carried out using MATLAB/SIMULINK software. Findings: The simulation outcomes reveal the supremacy of the proposed approach in dynamic performance improvement (in terms of settling time

overshoot and error reduction) over other controllers in the literature under different scenarios. Originality/value: In this paper

an adaptive FO-fuzzy-PId controller is proposed for LFC of a renewable penetrated power system. The main contribution of this work is

a maiden application has been made to tune all the possible parameters of fuzzy controller and FO-PID controller simultaneously to handle the uncertainties caused by renewable sources

load and parametric variations.

Abstract

Purpose: Load frequency control (LFC) in today’s modern power system is getting complex

due to intermittency in the output power of renewable energy sources along with substantial changes in the system parameters and loads. To address this problem

four different types of controllers that includes optimal proportional-integral-derivative (PID) controller

optimal fractional order (FO)-PID controller

optimal fuzzy PID controller

optimal FO-fuzzy PID controller are compared with the proposed approach. The dynamic response of the system relies upon the parameters of these controllers

overshoot and error reduction) over other controllers in the literature under different scenarios. Originality/value: In this paper

an adaptive FO-fuzzy-PID controller is proposed for LFC of a renewable penetrated power system. The main contribution of this work is

a maiden application has been made to tune all the possible parameters of fuzzy controller and FO-PID controller simultaneously to handle the uncertainties caused by renewable sources

load and parametric variations.

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