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China International Conference on Electricity Distribution (CICED)

作者： Mu Teng Duan Jiandong Yan Fuping Chen Lupeng Wang Kaiyu Xian Univ Technol Dept Elect Engn Xian Shaanxi Provinc Peoples R China

ISBN: (纸本)9781467390682

Environmental pollution and energy shortage have resulted in a recent strong demand for distribution networks to accept renewable clean energy. As an important part of distributed generations, DWP wind power (DWP) with its clean and flexible characteristics has been an important focus of domestic and foreign entities. In this paper, high penetration optimal operation model for DWP wind farm (DWF) was established with taking the maximum wind power real-time penetration as the objective function, and the reactive power output of wind farms was considered to regulate the voltage. The harmonic search algorithm was used to solve the model, simulation test with IEEE33 node system model was carried out, and the results show that the established optimization model as well as its solution strategy can make full use of the reactive power output of wind farms to achieve the maximum wind power consumption.

关键词： DWP wind power high penetration harmonic search algorithm

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Study on Marine Diesel Engine Fault Identification Based on Neural Network 19

Study on Marine Diesel Engine Fault Identification Based on ...

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19th IEEE International Conference on Mechatronics and Automation (IEEE ICMA)

作者： Zhang, Defu Hou, Tongyu Yang, Jiankun Xiao, Jianjiang Tianjin Univ Technol Xiqing St Tianjin Peoples R China Cnooc Energy Dev Equipment Technol Co LTD Mech & Elect Tech Serv Ctr Beijing Peoples R China Tianjin Nangang Shipping Co Ltd Tianjin Peoples R China

ISBN: (数字)9781665408530

ISBN: (纸本)9781665408530;9781665408523

In order to further improve the accuracy and real-time of Marine diesel engine fault identification, an intelligent identification method based on Shffled Frog Leaping algorithm and harmonic search algorithm and optimized RBF neural network was proposed to diagnose Marine diesel engine *** method optimizes the hidden node, center vector and width parameters of RBF neural network, and carries out simulation experiment on Marine diesel engine fault identification under MATLAB *** the experimental process, the RBF neural network was built, and the HS algorithm was used to optimize the hyperparameters of the RBF network, and the SFLA algorithm was used to optimize the harmony memory library to further improve the accuracy of fault *** results show that the RBF neural network trained by this method has good convergence effect and high diagnostic accuracy, which verifies the validity and rationality of the proposed method.

关键词： Marine diesel engine Failure to identify Radial basis function neural network harmonic search algorithm Shuffled Frog Leaping algorithm

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Fuzzy Logic Based Metaheuristic algorithm for Optimization of Type-1 Fuzzy Controller: Fault -Tolerant Control for Nonlinear System with Actuator Fault 7th

Fuzzy Logic Based Metaheuristic Algorithm for Optimization o...

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7th International Conference on Advances in Control and Optimization of Dynamical Systems (ACODS)

作者： Patel, Himanshukumar R. Shah, Vipul A. Dharmsinh Desai Univ Fac Technol Dept Instrumentat & Control Engn Nadiad 387001 Gujarat India

This research offers a fuzzy-based harmonic search (HS) metaheuristic technique for optimizing type-1 fuzzy controller for Fault-Tolerant Control (FTC) for nonlinear level control application subject to two uncertainties (i.e. actuator fault and external process disturbances), using type-1 and interval type-2 fuzzy-based HS algorithms. The effectiveness of a fuzzy logic-based adaptive HS algorithm in a nonlinear two-tank level control process with the primary actuator has dwindled (LOE). The work key contribution is the discovery of the best technique for constructing an optimal vector of values for the fuzzy controller's membership functions (MFs) optimization. This is made to improve dynamic response by bringing the process value of the two-tank level control process close to the target process value (set-point). It's worth noting that the type-1 fuzzy controller's optimized MFs use an interval type-2 fuzzy system for parameter adaptation of the HS algorithm, which can handle greater uncertainty than a type-1 fuzzy system. In this case, the limiting MFs of interval type-2 fuzzy sets are type-1 fuzzy sets, which define the footprint of uncertainty (FOU). Simulation results show that FHSO using an interval type-2 fuzzy system outperforms FHSO using a type-1 fuzzy system in the optimal design of a type-1 fuzzy controller. Copyright (C) 2022 The Authors.

关键词： harmonic search algorithm Fuzzy controller Type-2 fuzzy system Fuzzy sets

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A Novel Frequency and Voltage Control Method for Islanded Micro-grid 9

A Novel Frequency and Voltage Control Method for Islanded Mi...

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9th Iranian Conference on Renewable Energy and Distributed Generation (ICREDG)

作者： Akbari, Ehsan Mazandaran Univ Sci & Technol Fac Elect & Comp Engn Babol Iran

ISBN: (纸本)9781665405652

Two performance modes, connected to grid and grid independent, can be considered for microgrids. In connected mode, the grid voltage and frequency are controlled by the grid and the microgrid controls the exchange of electrical power with the grid. In a standalone mode where there is no connection between the microgrid and the main grid, the microgrid is responsible for regulating voltage and frequency. One of the critical issues of microgrids, in a separate state from the power system, is frequency and voltage control. In this paper, the improvement of microgrid control performance in the field of voltage and frequency is investigated. voltage and frequency control are investigated to improve the performance of the micro-grid. Different types of distributed generation (DG) have been used to investigate and improve voltage stability. A new combination of teaching-learning based optimization (TLBO) and harmonic search algorithm (HSA) has been used for optimal performance in islanded Microgrid. Performance optimization is accomplished by finding the optimal parameters for the droop coefficient of the distributed generation resources and the reliability of the wind units in order to reduce the cost of generated energy. Optimization is defined as a multi-objective problem, and the objective functions are used to minimize fuel consumption of distributed generation and improve the voltage characteristic and microgrid stability of operating and protection constraints. System steady state frequency, reference frequency, droop coefficients and reference voltage of the distributed generation unit are considered as optimization variables. The proposed method is compared with other methods for the 33-bus microgrid using MATLAB software. The simulation results show that the proposed method improves the performance of the microgrid.

关键词： Teaching-learning-based optimization algorithm harmonic search algorithm Microgrid Islanded

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Clustering and optimal routing in wireless sensor networks using Harmony search algorithm

Clustering and optimal routing in wireless sensor networks u...

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International Conference on Knowledge-Based Engineering and Innovation

作者： Hasan Sohrabpoor Zahra Sharifi Soltani Pourmoradi masoud Software Engineering Computer Islamic Azad University Chalus Iran

ISBN: (纸本)9781467365079

One of the main challenges in sensor networks is the energy used by these sensors and the most important reason for the energy consumption by sensors is transferring data, which has a direct relationship with distance. Researchers have proposed different algorithms so as to reduce the sonsors' energy consumption. One of these ways is optimal route-finding and reduction of the length of typical knots to central knots. One way to reduce the energy consumption is to cluster and organize the sensors. To do so, in the beginning, some sensors are randomly considered as the head and then these heads will recruit members considering their distance to other sensors. The number of members in clusters will be almost similar in order to restore balance in the number if the members. harmonic algorithm will help us have a thorough search on the space of the issue so that we can overcome the fundamental challenges in clustering the networks of wireless sensors through the performance of harmonic algorithm and change in the role of the head of a cluster.

关键词： component wireless sensors network sensors central knot harmonic search algorithm route-finding optimizing head chuster cluster

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Study on the Application of Foamed Lightweight Soil in Road Widening Project: A Numerical Insight

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MATERIALS 2024年第22期17卷 5432页

作者： Li, Pu-Hao Yan, Ke-Zhen Hunan Univ Coll Civil Engn Changsha 410082 Peoples R China

This paper introduces a novel retaining wall structure that integrates a traditional mechanically stabilized earth (MSE) retaining wall with foamed lightweight soil (FLS) as the fill material. To evaluate the performance of the structure, a numerical approach based on the finite difference method was employed. Firstly, numerical models were developed based on a centrifuge test model designed by previous researchers, and the results were compared with the measured data. The close agreement between the experimental values and simulations demonstrates the reliability and validity of the proposed numerical models. Subsequently, a series of parametric studies were conducted to reveal the effect of key parameters on the performance of the newly proposed retaining wall. Furthermore, this paper proposes a modified harmonic search algorithm (MHSA), which is based on the original harmonic search algorithm (OHSA), to optimize the design of the proposed retaining wall structure. The results indicate that the proposed retaining wall structure can effectively reduce the differential settlement between the existing road and the newly constructed road at a relatively lower cost. The MHSA can serve as a practical design guidebook for engineers and potential users, enabling rapid and efficient design.

关键词： mechanically stabilized earth wall centrifuge model test foamed lightweight soil road widening project harmonic search algorithm

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Fuzzy Logic Based Metaheuristic algorithm for Optimization of Type-1 Fuzzy Controller: Fault-Tolerant Control for Nonlinear System with Actuator Fault ⁎

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IFAC-PapersOnLine 2022年第1期55卷 715-721页

作者： Himanshukumar R. Patel Vipul A. Shah Department of Instrumentation and Control Engineering Faculty of Technology Dharmsinh Desai University Nadiad-387001 Gujarat India

This research offers a fuzzy-based harmonic search (HS) metaheuristic technique for optimizing type-1 fuzzy controller for Fault-Tolerant Control (FTC) for nonlinear level control application subject to two uncertainties (i.e. actuator fault and external process disturbances), using type-1 and interval type-2 fuzzy-based HS algorithms. The effectiveness of a fuzzy logic-based adaptive HS algorithm in a nonlinear two-tank level control process with the primary actuator has dwindled (LOE). The work key contribution is the discovery of the best technique for constructing an optimal vector of values for the fuzzy controller’s membership functions (MFs) optimization. This is made to improve dynamic response by bringing the process value of the two-tank level control process close to the target process value (set-point). It’s worth noting that the type-1 fuzzy controller’s optimized MFs use an interval type-2 fuzzy system for parameter adaptation of the HS algorithm, which can handle greater uncertainty than a type-1 fuzzy system. In this case, the limiting MFs of interval type-2 fuzzy sets are type-1 fuzzy sets, which defne the footprint of uncertainty (FOU). Simulation results show that FHSO using an interval type-2 fuzzy system outperforms FHSO using a type-1 fuzzy system in the optimal design of a type-1 fuzzy controller.

关键词： harmonic search algorithm Fuzzy controller Type-2 fuzzy system Fuzzy sets

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Reactive power optimisation of distribution network with dispersed wind farm

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The Journal of Engineering 2017年第13期2017卷 1983-1987页

作者： Duan Jiandong Xue Bing Chen Lupeng Department of Electrical Engineering Xi'an University of Technology Shaanxi People's Republic of China

Environmental pollution and energy shortage have resulted in a recent strong demand for distribution networks to accept renewable clean energy. As an important part of distributed generations, dispersed wind power with its clean and flexible characteristics has been an important focus of domestic and foreign entities. In this paper, the voltage deviation model and the maximum wind power real-time penetration model were established as the two objective functions, and the reactive power output of wind farms was considered to regulate the voltage. The harmonic search algorithm was used to solve the model, simulation test with IEEE33 node system model was carried out, and the results show that the established optimisation model as well as its solution strategy can make full use of the reactive power output of wind farms to achieve the maximum wind power consumption.

关键词： optimisation distributed power generation wind power distribution networks power generation control wind power plants reactive power foreign entities voltage deviation model real-time penetration model reactive power output wind farms harmonic search algorithm IEEE33 node system model established optimisation model maximum wind power consumption reactive power optimisation distribution network dispersed wind farm energy shortage recent strong demand renewable clean energy distributed generations dispersed wind power clean characteristics flexible characteristics important focus domestic entities

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