Hybrid MPC-Based Automatic Generation Control for Dominant Wind Energy Penetrated Multisource Power System

Author:

Hasan Naimul1ORCID,Alsaidan Ibrahim1ORCID,Sajid Mohammad2ORCID,Khatoon Shahida3,Farooq Shuaib3

Affiliation:

1. Department of Electrical Engineering, College of Engineering, Qassim University, Buraydah, Saudi Arabia

2. Department of Mechanical Engineering, College of Engineering, Qassim University, Buraydah, Saudi Arabia

3. Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India

Abstract

This paper presents hybrid model predictive control-based automatic generation regulator design for dominant wind energy penetrated multisource power system. The other power generation sources hydro and thermal are also considered in each area. The proposed AGC regulator is designed for each independent area considering only local power system states to ensure the stability of closed-loop system under small perturbation. The performance of the proposed AGC regulator has been validated for 2% step load perturbation. Furthermore, system parameter is varied to 20% of nominal value to assess the robust performance of the regulator. Performance evaluation between the hybrid MPC, conventional MPC, and traditional AGC regulators considering the dominant participation of the DFIG wind turbines is presented to demonstrate the superior performance of the hybrid MPC AGC regulator.

Funder

Qassim University

Publisher

Hindawi Limited

Subject

Computer Science Applications,General Engineering,Modeling and Simulation

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Intelligent Control for Wind Turbines Connected to Utility Grid using MPC;2022 23rd International Middle East Power Systems Conference (MEPCON);2022-12-13

2. Relative performance evaluation of Novel controllers used for reducing frequency drifts in Power Systems;2022 IEEE 19th India Council International Conference (INDICON);2022-11-24

3. Adaptive Intelligent Model Predictive Control for Microgrid Load Frequency;Sustainability;2022-09-19

4. Automatic Generation Control (AGC) in Power Plant;2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST);2022-02-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3