用混合控制技术对隔离型混合电力系统进行负荷频率控制，并与不同控制技术进行比较分析

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Malaysian Journal of Computer Science Pub Date : 2020-11-27 DOI:10.22452/mjcs.sp2020no1.6

N. Kumar, V. Gandhi

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引用次数: 1

摘要

针对风力发电的不同渗透水平，提出了一种混合隔离电力系统建模和负载频率控制器(LFC)。这里考虑的系统包括一个传统的柴油发电机、风力发电机和LFC的储能系统。考虑系统的目的是抑制频率偏差(平衡实际发电量和需求)。采用惯性控制来获得风系统的最佳增益，采用模糊逻辑控制(FLC)来控制混合系统的频率。结果与不同的控制技术进行了比较。在不同情况下，通过改变风侵彻程度和增加负载扰动，研究了系统的动态性能。

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LOAD FREQUENCY CONTROL FOR AN ISOLATED HYBRID POWER SYSTEM WITH HYBRID CONTROL TECHNIQUE AND COMPARATIVE ANALYSIS WITH DIFFERENT CONTROL TECHNIQUES

This paper presents a hybrid isolated power system modeling and Load Frequency Controller (LFC) for different penetration levels of wind power generation. The system considered here consists of a conventional diesel generator, wind generator and energy storage system for a LFC. The purpose of the considered system is to suppress the frequency deviations (balancing the real power generation and demand). An inertia control is used to obtain the best possible gain of the wind system and Fuzzy Logic Control (FLC) is used to control the frequency of the hybrid system. The results are compared with different control techniques. The dynamic performance of the system is studied at different cases by changing the wind penetration level and also by increasing the load disturbances.

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来源期刊

Malaysian Journal of Computer Science COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, THEORY & METHODS

CiteScore

2.20

自引率

33.30%

发文量

审稿时长

7.5 months

期刊介绍： The Malaysian Journal of Computer Science (ISSN 0127-9084) is published four times a year in January, April, July and October by the Faculty of Computer Science and Information Technology, University of Malaya, since 1985. Over the years, the journal has gained popularity and the number of paper submissions has increased steadily. The rigorous reviews from the referees have helped in ensuring that the high standard of the journal is maintained. The objectives are to promote exchange of information and knowledge in research work, new inventions/developments of Computer Science and on the use of Information Technology towards the structuring of an information-rich society and to assist the academic staff from local and foreign universities, business and industrial sectors, government departments and academic institutions on publishing research results and studies in Computer Science and Information Technology through a scholarly publication. The journal is being indexed and abstracted by Clarivate Analytics'' Web of Science and Elsevier''s Scopus