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A novel approach for optimal synthesis of path generator four-bar planar mechanism using improved harmony search algorithm

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AUSTRALIAN JOURNAL OF MECHANICAL ENGINEERING 2024年第1期22卷 95-108页

作者： Qaiyum, Abdul Mohammad, Aas Jamia Millia Islamia Dept Mech Engn New Delhi India

Since last few decades, a lot of work has been done on the evolutionary techniques to solve the optimisation problems. With the time passes, these techniques were modified, and also new algorithms were introduced to improve the performance. These techniques had been used by many researchers in synthesis of mechanisms to get the optimum results with minimum design errors. improved harmony search (IHS) algorithm is developed from harmony search technique by improvising the harmony in HS algorithm. This technique is inspired by searching the best state of harmony in musical process in which a jazz musician make practice after practice to find the same. In this paper, IHS algorithm is utilized to synthesize four-bar path generation mechanism. A mathematical model was derived using vector loop closure equation, wherein the error function, representing positional error between actual and desired points, was considered for forming objective function. The penalty function was used to prevent violation of structural constraints corresponding to Grashof's criteria and input crank angle sequence. Three different cases were studied with ten, fifteen and eighteen precision points with and without prescribed timings. The results obtained from the study, compared with other evolutionary techniques from literature, and found significant competition.

关键词： Mechanism synthesis Four-Bar Mechanism improved harmony search algorithm Heuristic Optimisation algorithms Optimisation Methods Path Synthesis

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Methodology of solution for the distribution network reconfiguration problem based on improved harmony search algorithm

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IET GENERATION TRANSMISSION & DISTRIBUTION 2020年第26期14卷 6526-6533页

作者： dos Santos, Murillo Vieira Brigatto, Gelson A. Garces, Lina P. Univ Fed Goias Elect Mech & Comp Engn Sch Ave Univ 1488 Goiania Go Brazil

The topology of power distribution systems can be modified by altering the status of sectional and tie switches for load management and protection, while maintaining the required network radiality. Several effective optimisation algorithms and graph theory-based techniques for system radiality detection have been proposed in specialised literature to solve the distribution network reconfiguration problem, usually seeking to achieve power loss reductions and voltage profile improvements. This work aims to contribute to this line of research and its novelties are composed of proposing as solution method a methodology based in an enhanced version of harmony search metaheuristic called improved harmony search algorithm, and a new simple and effective system impedance matrix based process to detect islanding of nodes as a strategy to meet radiality constraint. The proposed methodologies were applied to 33-bus, 84-bus and 118-bus distribution networks known from technical literature, aiming to total active power loss minimisation. As comparison between methods, a key focus in analysis of results is related to discuss some advantages and effectiveness of improved harmony search over original harmony search algorithm to attain optimal radial topologies.

关键词： search problems distributed power generation optimisation graph theory power distribution faults load management optimal radial topologies improved harmony search algorithm power distribution systems load management optimisation algorithms system radiality detection voltage profile improvements 84-bus distribution network active power loss minimisation 118-bus distribution network tie switches sectional switches graph theory-based techniques achieve power loss reductions harmony search metaheuristic model islanding model 33-bus distribution network

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improved harmony search algorithm for electrical distribution network expansion planning in the presence of distributed generators

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ENERGY 2018年 151卷 178-202页

作者： Rastgou, Abdollah Moshtagh, Jamal Bahramara, Salah Univ Kurdistan Dept Elect Engn Kurdistan Sanandaj Iran Islamic Azad Univ Sanandaj Branch Dept Elect Engn Sanandaj Iran

Distribution network expansion planning problem is carried out to supply the forecasted demand of distribution network in a certain time in which optimal size and location of distribution substations and feeders should be determined. In this paper, this problem in the presence of different types of distributed generators is addressed. For this purpose, a new approach is applied to model several practical aspects such as pollution, investment and operation costs of distributed generators, purchased power form the main grid, dynamic planning, and uncertainties of load demand and electricity prices. The uncertainties are modeled using the probability distribution function and Monte-Carlo simulation is applied to insert them into the planning problem. Because the problem involves many variables and constraints and is a non-convex and large-scale one, improved harmony search algorithm is used to solve it. To show the effectiveness of the proposed model and solving approach, it is applied to the 9-node and 69-node standard radial distribution networks and a real system of western part of Iranian national 20 kV distribution grid. The results show that the harmony search algorithm can solve the problem in a better manner in comparison with other methods such as genetic algorithm and particle swarm optimization. (C) 2018 Elsevier Ltd. All rights reserved.

关键词： Distribution network expansion planning Distributed generators improved harmony search algorithm Sensitivity analysis Monte Carlo simulation

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Solution of combined economic and emission dispatch problem using a novel chaotic improved harmony search algorithm

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JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING 2019年第3期6卷 447-467页

作者： Rezaie, Hamid Kazemi-Rahbar, M. H. Vahidi, Behrooz Rastegar, Hasan AUT Dept Elect Engn 424 Hafez Ave Tehran Iran Shahed Univ Dept Elect Engn Persian Gulf Freeway Tehran Iran

This paper presents a new optimization technique developed based on harmony search algorithm (HSA), called chaotic improved harmony search algorithm (CIHSA). In the proposed algorithm, the original HSA is improved using several innovative modifications in the optimization procedure such as using chaotic patterns instead of uniform distribution to generate random numbers, dynamically tuning the algorithm parameters, and employing virtual harmony memories. Also, a novel type of local optimization is introduced and employed in the algorithm procedure. Applying these modifications to HSA has resulted in enhancing the robustness, accuracy and search efficiency of the algorithm, and significantly reducing the iterations number required to achieve the optimal solution. To validate the effectiveness of CIHSA, it is used to solve the combined economic emission dispatch (CEED) problem, which practically is a complex high-dimensional non-convex optimization task with several equality and inequality constraints. Six test systems having 6, 10, 13, 14, 40, and 140 generators are investigated in this study, and the valve-point loading effects, ramp rate limits and power transmission losses are also taken into account. The results obtained by CIHSA are compared with the results reported in a large number of other research works. Furthermore, the statistical data regarding the CIHSA performance in all test systems is presented. The numerical and statistical results confirm the high quality of the solutions found by CIHSA and its superiority compared to other existing techniques employed in solving CEED problems. (C) 2018 Society for Computational Design and Engineering. Publishing Services by Elsevier.

关键词： Economic emission dispatch Environmental/economic dispatch improved harmony search algorithm Chaotic harmony search algorithm Evolutionary algorithm Valve-point loading effect

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Multi-UAVs Cooperative Reconnaissance Based on improved harmony search algorithm 5

Multi-UAVs Cooperative Reconnaissance Based on Improved Harm...

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5th International Conference on Information Science and Control Engineering (ICISCE)

作者： Zhang Yao-zhong Chen Lan Northwestern Polytech Univ Sch Elect & Informat Xian 710129 Shaanxi Peoples R China

ISBN: (纸本)9781538655009

In this paper, focusing on the problem of multi-UAVs cooperative reconnaissance mission assignment, we proposed an improved harmony search algorithm which took the total reconnaissance intelligence as the objective function. The algorithm integrated with the mutation and the crossover process as well as the adaptive approach to adjust the parameters, which improved the latter convergence rate and avoided the individual into the local optimum. Simulation results showed that the improved harmony search algorithm can greatly improve the efficiency to solve the problem.

关键词： improved harmony search algorithm UAVs cooperative reconnaissance

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Coordinated design of power system stabilizers and TCSC employing improved harmony search algorithm

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SWARM AND EVOLUTIONARY COMPUTATION 2016年 27卷 169-179页

作者： Naresh, G. Raju, M. Ramalinga Narasimham, S. V. L. Pragati Engn Coll Dept EEE Surampalem Andhra Pradesh India JNTUK Univ Coll Engn Kakinada Dept EEE Kakinada Andhra Pradesh India JNTUH Sch Informat Technol Dept CSE Hyderabad Andhra Pradesh India

Power System Stabilizers (PSS) are generally employed to damp electromechanical oscillations by providing auxiliary stabilizing signals to the excitation system of the generators. But it has been found that these Conventional PSS (CPSS) do not provide sufficient damping for inter-area oscillations in multi machine power systems. Thyristor Controlled Series Capacitor (TCSC) has immense potential in damping of inter-area power swings and in mitigating the sub-synchronous resonance. In this paper improved harmony search algorithm (IHSA) has been proposed for coordinated design of multiple PSS and TCSC in order to effectively damp the oscillations. The results obtained by using IHSA on WSCC 3-machine, 9-bus system are found to be superior compared to the results obtained using Bacterial Swarm Optimization (BSO) algorithm. The damping performance of conventional PSS and TCSC controllers is also compared with coordinated design of IHSA based PSS and TCSC on New England 10-machine, 39-bus system over wide range of operating conditions and contingencies. To demonstrate the effectiveness of the proposed technique the results obtained on this test system are also compared with the results obtained with Genetic algorithm (GA), Particle Swarm Optimization (PSO), harmony search algorithm (HSA) and Bacterial Swarm Optimization (BSO). (C) 2015 Elsevier B.V. All rights reserved.

关键词： Damping improved harmony search algorithm Power System Stabilizers TCSC

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Optimal Scheduling Strategy of Active Distribution System Using improved harmony search algorithm

Optimal Scheduling Strategy of Active Distribution System Us...

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China International Conference on Electricity Distribution (CICED)

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

ISBN: (纸本)9781467390682

The optimization schedule strategy of the active distribution system (ADS) is the core technology required to actively manage distributed energy resources (DERs). This paper establishes an optimal scheduling model for the ADS, whose blurring purposes are voltage quality improvement and operation cost reduction under control variables of different kinds of distributed generators (DGs). In addition, the improved harmony search (IHS) algorithm is proposed to produce the optimal scheduling strategy of the ADS. The case study in different parameters and different algorithms demonstrates the validity of the proposed optimal scheduling model and the IHS algorithm for ADS.

关键词： active distribution system optimal schedule voltage quality operation cost improved harmony search algorithm

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Steady state load shedding to mitigate blackout in power systems using an improved harmony search algorithm

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AIN SHAMS ENGINEERING JOURNAL 2015年第3期6卷 819-834页

作者： Mageshvaran, R. Jayabarathi, T. VIT Univ Sch Elect Engn Vellore 632014 Tamil Nadu India

Generation contingencies in a power system lead to under-frequency and low voltages owing to active and reactive power deficiencies. Load shedding is considered as a last alternative to avoid the cascaded tripping and blackout in power systems during generation contingencies. It is essential to optimize the amount of load to be shed in order to prevent excessive load shedding. To minimize load shedding, this paper proposes the implementation of music inspired optimization algorithm known as improved harmony search algorithm (IHSA). The optimal solution of steady state load shedding is carried out by squaring the difference between the connected and supplied power (active and reactive). The proposed algorithm is tested on IEEE 14, 30 and 118 bus test systems. The viability of the proposed method in terms of solution quality and convergence properties is compared with the other conventional methods reported earlier. (C) 2015 Faculty of Engineering, Ain Shams University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Optimal load shedding improved harmony search algorithm Meta-heuristic algorithm Generation contingency Voltage dependent load model

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improved harmony search algorithm with Differential Operator for Absolute Value Equation 27

Improved Harmony Search Algorithm with Differential Operator...

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27th Chinese Control and Decision Conference (CCDC)

作者： Yong Longquan Shaanxi Univ Technol Sch Math & Comp Sci Hanzhong 723001 Peoples R China

ISBN: (纸本)9781479970162

Absolute value equation is equivalent to a non-differentiable NP-hard problem in its general form. In this paper, an improved harmony search is presented for solving NP-hard absolute value equation with unique solution and multiple solutions. Combining with mutation strategy in differential evolution algorithm, the pitch-adjusted operation in classical harmony search is replaced by difference operator, meanwhile, in order to maintain diversity of population, scaling factor F is generated by chaotic sequence. Numerical results show that the improved harmony search algorithm has strong ability of exploration, and can obtain as many solutions to the absolute value equation as possible.

关键词： Absolute value equation improved harmony search algorithm Difference operator Pitch-adjusted operation Chaotic sequence

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improved harmony search algorithm based on Cluster for Absolute Value Equation with 2ⁿ Solutions 27

Improved Harmony Search Algorithm based on Cluster for Absol...

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27th Chinese Control and Decision Conference (CCDC)

作者： Yong Longquan Shaanxi Univ Technol Sch Math & Comp Sci Hanzhong 723001 Peoples R China

ISBN: (纸本)9781479970162

Absolute value equation is an NP-hard problem in its general form. This paper focused on absolute value equation with 2(n) solutions. Firstly existent conditions of absolute value equation with 2(n) solutions was given, then we proposed an improved harmony search algorithm based on multiple population with clustering strategy. Numerical results show that our method has strong ability of exploration, and can obtain as many solutions to the absolute value equation as possible..

关键词： Absolute value equation 2(n) solutions improved harmony search algorithm cluster strategy

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