Resilient wide‐area multi‐mode controller design based on Bat algorithm for power systems with renewable power generation and battery energy storage systems

Setiadi, Herlambang; Mithulananthan, Nadarajah; Shah, Rakibuzzaman; Lee, Kwang Y.; Krismanto, Awan Uji

doi:10.1049/iet-gtd.2018.6384

Cited by 26 publications

(21 citation statements)

References 30 publications

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“…Moreover, the objective of the bat algorithm is to reduce the engine speed of the spark ignition engine. The mathematical representation of the bat algorithm objective function is described using (13) [24][25][26]. With e, t, Kp, Ki are error of the investigated signal, time, proportional controller gain and integral controller gain.…”

Section: Methodsmentioning

confidence: 99%

“…To measure the controller performance, some indices can be used. Thypically, integral squared error (ISE) and integral absolute error (IAE) are used as the indices for assesing the system performance [23][24][25]. Furthermore, for assesing the system more comprehensive, a indices that also considering time in the calculation is designed.…”

Section: Appendix -Measuring System Performancementioning

confidence: 99%

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Design of spark ignition engine speed control using bat algorithm

Setiadi

Jones

Nugroho

et al. 2021

IJECE

Self Cite

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The most common problem in spark ignition engine is how to increase the speed performance. Commonly researchers used traditional mathematical approaches for designing speed controller of spark ignition engine. However, this solution may not be sufficient. Hence, it is important to design the speed controller using smart methods. This paper proposes a method for designing speed controller of a spark ignition engine using the bat algorithm (BA). The simulation is carried out using the MATLAB/SIMULINK environment. Time domain simulation is carried out to investigate the efficacy of the proposed method. From the simulation results, it is found that by designing speed controller of spark ignition engine using PI based bat algorithm, the speed performance of spark ignition engine can be enhanced both in no load condition and load condition compared to conventional PI controler.

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Section: Methodsmentioning

confidence: 99%

Section: Appendix -Measuring System Performancementioning

confidence: 99%

Design of spark ignition engine speed control using bat algorithm

Setiadi

Jones

Nugroho

et al. 2021

IJECE

Self Cite

View full text Add to dashboard Cite

show abstract

“…If the size and complexity of the system increased, the execution time is also expected to increase,thereby, it is recommended to use the algorithm with lower execution time. The ranking index given in [10] has been used to assess the performance of the proposed controller. Three different ranks are used in this study.…”

Section: E Comparisons Of Different Methodsmentioning

confidence: 99%

“…Hence, it is essential to design a controller that can tackle both communication and controller failures. Research in [10] has proposed a new control method called resilient wide-area multi-mode controller (MMC). The controller was added to the generator excitation system.…”

Section: Introductionmentioning

confidence: 99%

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Enabling Resilient Multi-Mode Controller in Power System With Re and Bes Using Firefly Algorithm

Setiadi¹,

Mithulananthan²,

Shah³

et al. 2020

Preprint

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This paper proposed a damping method for enhancing oscillatory stability performance of power systems with high penetration of renewable energy by a resilient wide-area multi-mode controller. The resilient wide-area multi-mode controller is used as an additional controller in a renewable energy system with a battery energy storage to enhance the damping of the critically weak modes. The weak modes are likely to be triggered in the event of line outages or any other disturbances, and the system may become unstable in the absence of proper corrective and preventive control. A firefly algorithm has been employed to design such a controller. Eigenvalue analysis and time-domain simulation are used to analyze the performance of the proposed controller in a realistic representative power system. From the simulation results, it is evident that the oscillatory stability performance of the renewable rich power system can be enhanced with the proposed control to keep the damping on critical modes to the industrial standards. Furthermore, renewable energy penetration can be increased significantly in the realistic representative system by introducing the proposed controller without disturbing the oscillatory stability margin.

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Recent advances of bat-inspired algorithm, its versions and applications

Alyasseri

Alomari

Al-Betar

et al. 2022

Neural Comput & Applic

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Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in many problem domains. The ecosystem of bat animals inspires the main idea of BA. This review paper scanned and analysed the state-of-the-art researches investigated using BA from 2017 to 2021. BA has very impressive characteristics such as its easy-to-use, simple in concepts, flexible and adaptable, consistent, and sound and complete. It has strong operators that incorporate the natural selection principle through survival-of-the-fittest rule within the intensification step attracted by local-best solution. Initially, the growth of the recent solid works published in Scopus indexed articles is summarized in terms of the number of BA-based Journal articles published per year, citations, top authors, work with BA, top institutions, and top countries. After that, the different versions of BA are highlighted to be in line with the complex nature of optimization problems such as binary, modified, hybridized, and multiobjective BA. The successful applications of BA are reviewed and summarized, such as electrical and power system, wireless and network system, environment and materials engineering, classification and clustering, structural and mechanical engineering, feature selection, image and signal processing, robotics, medical and healthcare, scheduling domain, and many others. The critical analysis of the limitations and shortcomings of BA is also mentioned. The open-source codes of BA code are given to build a wealthy BA review. Finally, the BA review is concluded, and the possible future directions for upcoming developments are suggested such as utilizing BA to serve in dynamic, robust, multiobjective, large-scaled optimization as well as improve BA performance by utilizing structure population, tuning parameters, memetic strategy, and selection mechanisms. The reader of this review will determine the best domains and applications used by BA and can justify their BA-related contributions.

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Resilient wide‐area multi‐mode controller design based on Bat algorithm for power systems with renewable power generation and battery energy storage systems

Cited by 26 publications

References 30 publications

Design of spark ignition engine speed control using bat algorithm

Design of spark ignition engine speed control using bat algorithm

Enabling Resilient Multi-Mode Controller in Power System With Re and Bes Using Firefly Algorithm

Recent advances of bat-inspired algorithm, its versions and applications

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