在放松调节的环境中部署具有改进HVDC联络线的新型智能控制器对频率调节改进的评估

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES Smart Science Pub Date : 2022-03-24 DOI:10.1080/23080477.2022.2054197
S. Murali, R. Shankar
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引用次数: 3

摘要

本文着重设计和分析了一种适用于调频应用的最优智能控制器。负载频率控制(LFC)机制是将系统频率和计划联络线功率恢复到其标称值的重要机制。采用适当的控制器增强了LFC机构的操作。因此,本文针对LFC机构提出了一种基于模糊分数阶PI控制器与分数阶PIDN控制器并行的自适应控制策略(即模糊(PIλf)+PIλDN)。此外,首次尝试使用一种新的基于对手学习的排球超级联赛(OVPL)算法来获得最优控制参数。针对一个非线性多区域互联电力系统,在非管制环境下,对所提出的最优智能控制器进行了研究。将所提出的LFC方案的性能与几种常用的负载阶跃和随机扰动策略进行了比较。此外,对于大范围的系统参数变化,所提出的方案的鲁棒性也得到了验证。另一方面,本文阐述了改进的HVDC联络线模型以及使用换流电容器的惯性仿真技术(IET)对瞬态行为的影响。最后,所提出的LFC方案的有效性已经在其平台上发表的文献中得到了验证。
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Assessment of Amelioration in Frequency Regulation by deploying Novel Intelligent based Controller with Modified HVDC Tie-Line in Deregulated Environment
ABSTRACT This article emphasizes the design and analysis of an optimal intelligent controller for frequency regulation application. The load frequency control (LFC) mechanism is an eminent and essential mechanism to reinstate the system frequency and scheduled tie-line power to their nominal values. Employing an appropriate controller enhances the operation of the LFC mechanism. Hence, this article put forward an adoptive control policy-based fuzzy-fractional ordered PI controller parallel with fractional PIDN controller (i.e., Fuzzy (PIλf)+PIλDN) for the LFC mechanism. Besides that, a maiden attempt of using a new opposition-learning-based volleyball premier league (OVPL) algorithm is carried out to obtain optimal control parameters. The proposed optimal intelligent controller is explored for a nonlinear multi-area interconnected power system under deregulated environment. The proposed LFC schemes performance has been compared with several popular strategies for step and random perturb in load. Also, the robustness of the proposed scheme has been verified for a wide range of system parameter variations. On the other hand, the modified HVDC tie-line model and the impact of the inertia emulation technique (IET) using converter capacitors on transient behavior are illustrated in this article. Finally, the efficacy of the proposed LFC scheme has been verified over published literature on its platform.
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来源期刊
Smart Science
Smart Science Engineering-Engineering (all)
CiteScore
4.70
自引率
4.30%
发文量
21
期刊介绍: Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials
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