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optimization of synchronized frequency and voltage control for a distributed generation system using the black widow optimization algorithm

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Clean Energy 2022年第1期6卷 105-118页

作者： Baran Sadeghi Nima Shafaghatian Reza Alayi Mamdouh El Haj Assad Farhad Zishan Hasan Hosseinzadeh Electrical Engineering Department Ghazvin BranchIslamic Azad UniversityGhazvinIran Electrical Engineering Department Zanjan UniversityZanjanIran Department of Mechanics Germi BranchIslamic Azad UniversityGermiIran Sustainable and Renewable Energy Engineering Department University of SharjahP O Box 27272SharjahUAE Department of Electrical Engineering Sahand University of TechnologyTabrizIran Department of Mathematics Ardabil BranchIslamic Azad UniversityArdabilIran

A distributed generation network could be a hybrid power system that includes wind-diesel power generation based on induction generators(IGs)and synchronous generators(SGs).The main advantage of these systems is the possibility of using renewable energy in their *** most important challenge is to design the voltage-control loop with the frequency-control loop to obtain optimal responses for voltage and frequency *** this work,the voltage-control loop is designed by an automatic voltage regulator.A linear model of the hybrid system has also been developed with coordinated voltage and frequency *** frequency response and voltage deviations are compared for different load disturbances and different reactive *** gains of the SG and the static volt-ampere reactive compensator(SVC)controllers in the IG terminal are calculated using the black widow optimization(BWO)algorithm to insure low frequency and voltage *** BWO optimization algorithm is one of the newest and most powerful optimization methods to have been introduced so *** results showed that the BWO algorithm has a good speed in solving the proposed objective function.A 22%improvement in time adjustment was observed in the use of an optimal ***,an 18%improvement was observed in the transitory values.

关键词： microgrid voltage and frequency control black widow optimization algorithm dynamic response smart grid

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AMicroseismic Signal Denoising algorithm Combining VMD and Wavelet Threshold Denoising Optimized by BWOA

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 187-217页

作者： Dijun Rao Min Huang Xiuzhi Shi Zhi Yu Zhengxiang He Zijin Mining Group Co. Ltd.Xiamen361016China Zijin(Changsha)Engineering Technology Co. Ltd.Changsha410006China State Key Laboratory of Comprehensive Utilization of Low-Grade Refractory Gold Ores Shanghang364204China School of Resources and Safety Engineering Central South UniversityChangsha410083China School of Resources&Environment Engineering Jiangxi University of Science and TechnologyGanzhou341000China Zijin School of Geology and Mining Fuzhou UniversityFuzhou350116China State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources China University of Mining and TechnologyXuzhou221116China

The denoising of microseismic signals is a prerequisite for subsequent analysis and *** this research,a new microseismic signal denoising algorithm called the black widow optimization algorithm(BWOA)optimized VariationalMode Decomposition(VMD)jointWavelet Threshold Denoising(WTD)algorithm(BVW)is *** BVW algorithm integrates VMD and WTD,both of which are optimized by ***,this algorithm utilizes VMD to decompose the microseismic signal to be denoised into several Band-Limited IntrinsicMode Functions(BLIMFs).Subsequently,these BLIMFs whose correlation coefficients with the microseismic signal to be denoised are higher than a threshold are selected as the effective mode functions,and the effective mode functions are denoised using WTD to filter out the residual low-and intermediate-frequency ***,the denoised microseismic signal is obtained through *** ideal values of VMD parameters and WTD parameters are acquired by searching with BWOA to achieve the best VMD decomposition performance and solve the problem of relying on experience and requiring a large workload in the application of the WTD *** outcomes of simulated experiments indicate that this algorithm is capable of achieving good denoising performance under noise of different intensities,and the denoising performance is significantly better than the commonly used VMD and Empirical Mode Decomposition(EMD)*** BVW algorithm is more efficient in filtering noise,the waveform after denoising is smoother,the amplitude of the waveform is the closest to the original signal,and the signal-to-noise ratio(SNR)and the root mean square error after denoising are more *** case based on Fankou Lead-Zinc Mine shows that for microseismic signals with different intensities of noise monitored on-site,compared with VMD and EMD,the BVW algorithm ismore efficient in filtering noise,and the SNR after denoising is higher.

关键词： Variational mode decomposition microseismic signal denoising wavelet threshold denoising black widow optimization algorithm

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black widow optimization for Multi Area Economic Emission Dispatch

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Intelligent Automation & Soft Computing 2023年第1期35卷 609-625页

作者： G.Girishkumar S.Ganesan N.Jayakumar S.Subramanian Department of EEE Government Polytechnic CollegeKeelapaluvurAriyalur621707Tamil NaduIndia Department of EEE Government College of EngineeringSalem636011Tamil NaduIndia Department of EEE Government Polytechnic CollegeUthangarai635207Tamil NaduIndia Department of Electrical Engineering Annamalai UniversityAnnamalai Nagar608002Tamil NaduIndia

The optimizationfield has grown tremendously,and new optimization techniques are developed based on statistics and evolutionary ***-fore,it is necessary to identify a suitable optimization technique for a particular *** this work,black widow optimization(BWO)algorithm is intro-duced to minimize the cost functions in order to optimize the Multi-Area Economic Dispatch(MAED).The BWO is implemented for two different-scale test systems,comprising 16 and 40 units with three and four *** performance of BWO is compared with the available optimization techniques in the literature to demonstrate the strategy’s *** show that the optimized cost for four areas with 16 units is found to be 7336.76$/h,whereas it is 121,589$/h for four areas with 40 units using *** is also noted that optimization algo-rithms other than BWO require higher cost *** best-optimized solution for emission is achieved at 9.2784e+06 tones/h,and it is observed that there is a considerable difference between the worst and the best ***,the suggested technique is implemented for large-scale test systems successfully with high precision,and rapid convergence occurs in MAED.

关键词： black widow optimization algorithm multi-objective multi-area economic dispatch emission optimization cost optimization

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