A mMSA-FOFPID controller for AGC of multi-area power system with multi-type generations

IF 3.8 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Sustainable Computing-Informatics & Systems Pub Date : 2024-10-26 DOI:10.1016/j.suscom.2024.101046

Dillip Khamari , Rabindra Kumar Sahu , Sidhartha Panda , Yogendra Arya

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引用次数: 0

Abstract

The exceptional growth in the penetration of renewable sources as well as complex and variable operating conditions of load demand in power system may jeopardize its operation without an appropriate automatic generation control (AGC) methodology. Hence, an intelligent resilient fractional order fuzzy PID (FOFPID) controlled AGC system is presented in this study. The parameters of controller are tuned utilizing a modified moth swarm algorithm (mMSA) inspired by the movement of moth towards moon light. At first, the effectiveness of the controller is verified on a nonlinear 5-area thermal power system. The simulation outcomes bring out that the suggested controller provides the best performance over the lately published strategies. In the subsequent step, the methodology is extended to a 5-area system having 10-units of power generations, namely thermal, hydro, wind, diesel, gas turbine with 2-units in each area. It is observed that mMSA based FOFPID is more effective related to other approaches. In order to establish the robustness of the controller, a sensitivity examination is executed. Then, experiments are conducted on OPAL-RT based real-time simulation to confirm the feasibility of the method. Finally, mMSA based FOFPID controller is observed superior than the recently published approaches for standard 2-area thermal and IEEE 10 generator 39 bus systems.

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用于多类型发电的多区域电力系统 AGC 的 mMSA-FOFPID 控制器

可再生能源渗透率的超常增长以及电力系统复杂多变的负载需求运行条件，可能会在没有适当的自动发电控制（AGC）方法的情况下危及电力系统的运行。因此，本研究提出了一种智能弹性分数阶模糊 PID（FOFPID）控制 AGC 系统。控制器参数的调整采用了一种改进的飞蛾群算法（mMSA），其灵感来自飞蛾对月光的移动。首先，在一个非线性 5 区域火力发电系统上验证了控制器的有效性。仿真结果表明，与最近发布的策略相比，建议的控制器性能最佳。随后，该方法被扩展到一个 5 区域系统，该系统有 10 个发电单元，即火力发电、水力发电、风力发电、柴油发电和燃气轮机发电，每个区域有 2 个发电单元。结果表明，基于 mMSA 的 FOFPID 比其他方法更有效。为了确定控制器的鲁棒性，进行了灵敏度检查。然后，在基于 OPAL-RT 的实时仿真中进行了实验，以确认该方法的可行性。最后，在标准 2 区域热系统和 IEEE 10 发电机 39 总线系统中，基于 mMSA 的 FOFPID 控制器优于最近发布的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sustainable Computing-Informatics & Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTUREC-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

10.70

自引率

4.40%

发文量

142

期刊介绍： Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.