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Reduced order modelling of linear time-invariant system using modified cuckoo search algorithm

SOFT COMPUTING 2018年第10期22卷 3449-3459页

作者： Sikander, Afzal Thakur, Padmanabh Graph Era Univ Dept Elect Engn Dehra Dun India

In this paper modified cuckoo search (MCS) algorithm is considered to develop reduced order model (ROM) of higher-order linear time-invariant systems. Firstly, the MCS algorithm has been employed to minimize the integral square error (ISE) between original and proposed ROM to obtain its unknown coefficients. Five systems of different order are considered to obtain their reduced order model. Finally, various performance indices, such as ISE, integral of absolute and integral of time multiplied by absolute error, have been estimated to reveal the efficacy of the proposed model. Also, time and frequency response characteristics of original higher-order model are compared with the proposed MCS-based and some of other existing techniques-based ROM available in the literature. Furthermore, the results are compared in terms of time response specifications such as rise time (t(r)) in second, settling time (t(s)) in second and maximum peak overshoot (M-p) in percentage. It is revealed that the response of the proposed MCS-based ROM is much closer to the response of the original higher-order system.

关键词： modified cuckoo search algorithm Optimization Order reduction Integral square error

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modified cuckoo search algorithm for multiobjective short-term hydrothermal scheduling

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SWARM AND EVOLUTIONARY COMPUTATION 2017年 37卷 73-89页

作者： Thang Trung Nguyen Dieu Ngoc Vo HCM City Univ Technol & Educ Fac Elect & Elect Engn 1 Vo Van Ngan Str Ho Chi Minh City Vietnam Ton Duc Thang Univ Fac Elect & Elect Engn Power Syst Optimizat Res Grp Ho Chi Minh City Vietnam

This paper proposes a modified cuckoo search algorithm (MCSA) for solving multi-objective short-term fixed head hydrothermal scheduling (HTS) problem. The main objective of the multiobjective HTS problem is to minimize both total power generation cost and emission of thermal generators over a scheduling period while satisfying power balance, hydraulic, and generator operating limit constraints. The proposed MCSA method is developed for the problem based on improvements from the conventional CSA method which is a new metaheuristic algorithm inspired from the behavior of some cuckoo species laying their egg into the nest of other species to improve the optimal solution and speed up the computational process. In the MCSA method, the nests are evaluated and classified into two groups including the top group with better quality eggs and the abandoned group with worse quality eggs. Two effective strategies via Levy flights for producing new solutions are applied to the abandoned and top groups. To validate the efficiency of the MCSA method, several test systems have been tested and the result comparisons from the test systems have indicated that the proposed method can obtain higher quality solution and shorter computational time than many other methods. Therefore, the proposed MCSA method can be new efficient method for solving multiobjective short-term fixed-head HTS problems.

关键词： Economic dispatch Emission dispatch Economic emission dispatch Levy flights modified cuckoo search algorithm Multiobejctive hydrothermal scheduling

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modified cuckoo search algorithm for Fittest Relay Identification in Microgrid 1

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5th International Conference on Frontiers in Intelligent Computing - Theory and Applications (FICTA)

作者： Swathika, O. V. Gnana Mukhopadhyay, Santanab Gupta, Yatharth Das, Arka Hemamalini, S. VIT Univ Sch Elect Engn Chennai Tamil Nadu India

ISBN: (数字)9789811031564

ISBN: (纸本)9789811031564;9789811031557

Microgrid is a group of interconnected generating units and loads at the distribution level which operates in two modes-Grid connected mode and Islanded mode. Fault clearance in a microgrid is a key challenge for protection engineers. This paper aims to identify the best fit relay suitable for a microgrid using modified cuckoo search algorithm based on key parameters like current rating, Time Multiplier Setting (TMS), Plug Setting Multiplier (PSM) and time of operation (t(op)). This algorithm aids in providing suitable relay coordination in microgrid and clears the faulty portion of network effectively from the healthy portion of network.

关键词： modified cuckoo search algorithm Microgrid protection Relay coordination

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A modified cuckoo search algorithm to optimize Wire-EDM process while machining Inconel-690

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JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING 2017年第5期39卷 1647-1661页

作者： Rao, M. Sreenivasa Venkaiah, N. Natl Inst Technol Mech Engn Dept Warangal 506004 Andhra Pradesh India

cuckoo search (CS) algorithm was found to be efficient in yielding the global optimal value, and this algorithm was found to outperform genetic algorithm (GA) and particle swarm optimization (PSO) techniques. However, the accuracy of CS heavily depends upon the initial solution and its location from the target value and, therefore, it may involve many generations. Furthermore, the evolutionary operators are applied in each generation. This could lead to delay in convergence. To improve the performance of cuckoo search further, an attempt has been made in the present work to propose a modified cuckoo search involving two-stage initialization. Benchmark functions have been used to test the performance of the proposed method. Furthermore, the proposed method has been applied to wire electrical discharge machining (WEDM) process. Inconel-690, a nickel-based superalloy, has extensive applications in aerospace and nuclear power sectors. Although WEDM is one of the advanced machining processes used to machine such hard-to-cut materials, machining data for this material is not available in the literature. The proposed algorithm was found to be accurate and fast as compared to the GA, PSO, and existing cuckoo search. The machining data generated in this work will also be useful to the industry.

关键词： WEDM Optimization Inconel-690 RSM modified cuckoo search algorithm

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modified cuckoo search algorithm for Solving Permutation Flow Shop Problem 12th

Modified Cuckoo Search Algorithm for Solving Permutation Flo...

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12th International Conference on Intelligent Computing (ICIC)

作者： Zheng, Hong-Qing Zhou, Yong-Quan Xie, Cong Guangxi Univ Foreign Languages Coll Informat Engn Nanning 530222 Peoples R China Guangxi Univ Nationalities Coll Informat Sci & Engn Nanning 530006 Peoples R China

ISBN: (纸本)9783319422916;9783319422909

In this paper, a modified cuckoo search (MCS) algorithm is proposed for solving the permutation flow shop scheduling problem (PFSP) Firstly, to make CS suitable for solving PFSPs, the largest position value (LPV) rule is presented to convert the continuous values of individuals in CS to job permutations. Secondly, after the CS-based exploration, a simple but efficient local search, which is designed according to the PFSPs' landscape, is applied to emphasize exploitation. In addition, the proposed algorithm is combined with the path relinking. Simulation results and comparisons based on benchmarks demonstrate the MCS is an effective approach for flow shop scheduling problems.

关键词： Flow-shop scheduling Hybrid algorithm Local search modified cuckoo search algorithm

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modified cuckoo search algorithm for short-term hydrothermal scheduling

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2015年第Feb.期65卷 271-281页

作者： Thang Trung Nguyen Dieu Ngoc Vo Ton Duc Thang Univ Fac Elect & Elect Engn Ho Chi Minh City Vietnam Ho Chi Minh City Univ Technol Dept Power Syst Ho Chi Minh City Vietnam

This paper proposes a modified cuckoo search algorithm (MCSA) for solving short-term hydrothermal scheduling (HTS) problem. The considered HTS problem in this paper is to minimize total cost of thermal generators with valve point loading effects satisfying power balance constraint, water availability, and generator operating limits. The MCSA method is based on the conventional CSA method with modifications to enhance its search ability. In the MCSA, the eggs are first sorted in the descending order of their fitness function value and then classified in two groups where the eggs with low fitness function value are put in the top egg group and the other ones are put in the abandoned one. The abandoned group, the step size of the Levy flight in CSA will change with the number of iterations to promote more localized searching when the eggs are getting closer to the optimal solution. On the other hand, there will be an information exchange between two eggs in the top egg group to speed up the search process of the eggs. The proposed MCSA method has been tested on different systems and the obtained results are compared to those from other methods available in the literature. The result comparison has indicated that the proposed method can obtain higher quality solutions than many other methods. Therefore, the proposed MCSA can be a new efficient method for solving short-term fixed-head hydrothermal scheduling problems. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Levy flight modified cuckoo search algorithm Non-convex fuel cost function Short-term hydrothermal scheduling Water availability constraint

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Solving Bi-Objective Short-Term Cascaded Hydrothermal Scheduling Problem Using modified cuckoo search algorithm

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AETA International Conference

作者： Thang Trung Nguyen Tuan Van Duong Dieu Ngoc Vo Bao Quoc Nguyen Ton Duc Thang Univ Fac Elect & Elect Engn 19 Nguyen Huu Tho StDist 7 Ho Chi Minh City Vietnam Univ Tech Educ HCM City Fac Elect & Elect Engn 1 Vo Van Ngan St Hcm City Vietnam HCM City Univ Technol Dept Power Syst 268 Ly Thuong Kiet St Hcm City Vietnam

ISBN: (纸本)9783319272474;9783319272450

This paper presents a modified cuckoo search algorithm (MCSA) for solving bi-objective short-term cascaded hydrothermal scheduling (BO-STCHTS) problem. The objective of the problem is to determine the optimal operation for thermal plants and a cascaded reservoir system while satisfying all constraints including electrical constraints of both hydro and thermal plants and hydraulic constraints of reservoirs so that the total generation of fuel cost and pollutant emission from thermal power plants are minimized. The MCSA has been developed by modifying the search strategy via Levy flights to improve the performance of the conventional cuckoo search algorithm for solving the problem. The result comparison from a test system with nonconvex fuel cost function and cascaded reservoir between the proposed MCSA and other methods in the literature has shown that the MCSA is very efficient for the BO-STCHTS problem. Therefore, the proposed NCSA can be a efficient method for solving the nonconvex BO-STCHTS problem.

关键词： modified cuckoo search algorithm Cascaded hydropower plants Levy flights Bi-objective cascaded hydrothermal scheduling

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Solving Short-Term Cascaded Hydrothermal Scheduling Problem Using modified cuckoo search algorithm

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INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING 2016年第1期9卷 67-78页

作者： Thang Trung Nguyen Dieu Ngoc Vo Ton Duc Thang Univ Fac Elect & Elect Engn 19 Nguyen Huu Tho Str7th Dist Hcm City Vietnam HCM City Univ Technol VNU HCM Dept Power Syst 268 Ly Thuong Kiet Str10th Dist Hcm City Vietnam

This paper presents a modified cuckoo search algorithm (MCSA) for solving short-term cascaded hydrothermal scheduling (ST-CHTS) problem. The short-term cascaded hydrothermal scheduling is to determine the optimal operation for thermal plants and a cascaded reservoir system while satisfying all constraints including electrical constraints of both hydro and thermal plants and hydraulic constraints of reservoirs. The MCSA has been developed by modifying the search strategy via Levy flights to improve the performance of the conventional cuckoo search algorithm. The proposed method has been widely and successfully applied to many optimization problems in engineering fields;however, this is first time employed to search for the optimal solution of the ST-CHTS problem. The proposed method has been tested on two systems where thermal plants with nonconvex fuel cost function and a cascaded reservoir system are taken into account. The result comparison from the MCSA compared to other methods reported in the literature has revealed that the proposed MCSA is very efficient for solving the ST-CHTS problem.

关键词： modified cuckoo search algorithm cascaded hydropower plants Levy flights

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modified cuckoo search and Hill Climbing algorithm Based Spectrum Hole Detection in Cognitive Radio Networks

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JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY 2023年第6期18卷 4425-4440页

作者： Srilatha, M. Bharathi, A. Vardhaman Coll Engn Dept Elect & Commun Engn Hyderabad India Osmania Univ Univ Coll Engn Dept Elect & Commun Engn Hyderabad India

The primary goal of a Cognitive Radio (CR) is to reprocess the spectrum holes and enhance the limited accessibility of radio spectrum capability. A longer sensing period enhances the exposure of the primary signal, but it minimizes the duration of data communication resulting in throughput failure. These problems are addressed upto a certain extent using parallel or Cooperative Spectrum Sensing (CSS) approach. To further enhance the sensing parameters, a modified cuckoo search and Hill climbing (MCSH) algorithm is proposed wherein the sensing process is improved to protect the service quality of a Primary User (PU) and exploitation of white spaces. In this approach, asynchronous cooperative spectrum sensing is used to enhance spectrum sensing in the Cognitive Radio Network (CRN). It discovers the spectrum holes accurately by applying the energy detection parameters. The simulation and analytical results for 100 users explicate that MCSH enhances energy efficiency from 0.06 to 0.09 and throughput from 0.68 to 0.91;minimizes false alarm possibility from 0.22 to 0.07;miss detection possibility from 0.18 to 0.09 and error detection possibility from 0.17 to 0.08. It also improves spectrum hole detection accuracy from 85 to 99%.

关键词： Spectrum sensing modified cuckoo search algorithm Spectrum hole detection Energy detection Asynchronous cooperative spectrum sensing Hill climbing algorithm Cognitive radio network

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Peak to average power ratio reduction using a hybrid of bacterial foraging and modified cuckoo search algorithm in MIMO-OFDM system

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Research Journal of Applied Sciences, Engineering and Technology 2014年第21期7卷 4423-4433页

作者： Manjith, R. Suganthi, M. Department of Electronics and Communication Engineering Dr. Sivanthi Aditanar College of Engineering Tiruchendur India Thiagarajar College of Engineering Madurai India

The Partial Transmit Sequence which reduces the PAPR (Peak-to-Average Power Ratio) in Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system using a novel optimization algorithm is proposed in this study. This novel optimization algorithm is based on a hybrid of Bacterial Foraging Optimization (BFO) and modified cuckoo search algorithm (MCS) and is thus called HBFOMCS. In HBFOMCS, reproduction of individuals in a new generation is created, not only by swim and tumble operation as in BFO, but also by MCS. The natural reproduction step of BFO is swapped by the concept of searching best solutions as in MCS which then increases the possibility of generating the elite individuals for next generation. These enhanced reproduction step constitute the ready-to-perform population for the new generation once the initial population is performed by swim and tumble operation. Afterwards, discover probability is applied to abandon the worst solution due to the nature of MCS. HBFOMCS is applied to optimize the best combination from a set of allowed phase factors in Partial Transmit Sequence (PTS) technique. The performance of HBFOMCS is compared with BFO, cuckoo search (CS) and modified cuckoo search MCS in the PAPR reduction in MIMO-OFDM system, accordingly proving its proficiency. © Maxwell Scientific Organization, 2014.

关键词： Bacterial foraging algorithm Hybrid algorithm MIMO-OFDM modified cuckoo search algorithm PAPR reduction Partial transmit sequence

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