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Quasi oppositional harmony search algorithm based controller tuning for load frequency control of multi-source multi-area power system

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2016年第Feb.期75卷 289-302页

作者： Shankar, G. Mukherjee, V. Indian Sch Mines Dept Elect Engn Dhanbad Jharkhand India

This paper deals with the load frequency control (LFC) study of single-area and interconnected two-area power system having diversified power sources. The two areas considered in the present study are identical. Each area is having thermal, hydro and gas based power plants. Split-shaft model of gas turbine is used in the present work as one of the diversified generating unit for the purpose of LFC study. Optimal gains of the classical controllers (like integral controller, proportional-integral controller and pro portional-integral-derivative (PID) controller, one installed at a time in the studied models) are obtained by using a novel music-inspired metaheuristic harmony search algorithm (HSA) which incorporates quasi opposition based learning technique for memory initialization and also for generation jumping. Single-area power system with diverse power sources is considered and its optimal transient performances are obtained and compared for step load perturbation. The same approach is further extended to two-area interconnected power system consisting of diverse power sources with nominal values of area input parameters. The performance of PID controller is found to be the best one for the studied power system models. It is also revealed that the performance of the interconnected two-area power system with AC-DC tie line is better in comparison to AC tie line. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： AC-DC tie lines harmony search algorithm Load frequency control Multi-source power system Quasi opposition learning

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A differential-based harmony search algorithm for the optimization of continuous problems

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EXPERT SYSTEMS WITH APPLICATIONS 2016年 62卷 317-332页

作者： Abedinpourshotorban, Hosein Hasan, Shafaatunnur Shamsuddin, Siti Mariyam As'Sahra, Nur Fatimah Univ Teknol Malaysia UTM Big Data Ctr Ibnu Sina Inst Sci & Ind Res Skudai 813W Johor Malaysia Univ Teknol Malaysia Fac Comp Skudai 813W Johor Malaysia

The performance of the harmony search (HS) algorithm is highly dependent on the parameter settings and the initialization of the harmony Memory (HM). To address these issues, this paper presents a new variant of the HS algorithm, which is called the DH/best algorithm, for the optimization of globally continuous problems. The proposed DH/best algorithm introduces a new improvisation method that differs from the conventional HS in two respects. First, the random initialization of the HM is replaced with a new method that effectively initializes the harmonies and reduces randomness. Second, the conventional pitch adjustment method is replaced by a new pitch adjustment method that is inspired by a Differential Evolution (DE) mutation strategy known as DE/best/1. Two sets of experiments are performed to evaluate the proposed algorithm. In the first experiment, the DH/best algorithm is compared with other variants of HS based on 12 optimization functions. In the second experiment, the complete CEC2014 problem set is used to compare the performance of the DH/best algorithm with six well-known optimization algorithms from different families. The experimental results demonstrate the superiority of the proposed algorithm in convergence, precision, and robustness. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： harmony search algorithm Continuous optimization Evolutionary optimization Differential evolution Meta-heuristics

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Optimum Location and Parameter Setting of STATCOM Based on Improved Differential Evolution harmony search algorithm

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IEEE ACCESS 2020年 8卷 87810-87819页

作者： Zhang, Tao Xu, Xueqin Li, Zhenhua Abu-Siada, A. Guo, Yuetong China Three Gorges Univ Coll Elect Engn & New Energy Yichang 443002 Peoples R China China Three Gorges Univ Hubei Prov Engn Res Ctr Intelligent Energy Techno Yichang 443002 Peoples R China Three Gorges Nav Author Yichang 443002 Peoples R China Curtin Univ Dept Elect & Comp Engn Perth WA 6102 Australia

Identification of the optimum location and capacity of Static Synchronous Compensator (STATCOM) in power grids has been given much attention to maximize its technical performance while minimizing operational cost. In this regard, a new multi-objective optimization model that minimizes power loss, enhances system stability and reduces operational cost of STATCOMs is presented in this paper. To overcome the issue of the harmony search (HS) optimization algorithm in solving high-dimensional multi-objective optimization problem, an improved differential evolution harmony search (DEHS) algorithm is proposed. In this algorithm, mutation and crossover operations are adopted instead of the original pitch adjustment operation adopted in the HS optimization algorithm, which enhances the algorithm global search ability. Moreover, opposition-based learning technique is incorporated to the process to broaden the diversity of variables and hence improving the search efficiency of the algorithm. The proposed algorithm is employed to identify the optimal allocation and sizing of multiple STATCOMs within the IEEE 30-bus system. Results reveal the superiority of the proposed optimization algorithm over the conventional multi-objectives adaptive harmony search algorithm.

关键词： Flexible ac transmission systems static synchronous compensator system optimization harmony search algorithm

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Design optimization of shell and tube heat exchangers using global sensitivity analysis and harmony search algorithm

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APPLIED THERMAL ENGINEERING 2009年第5-6期29卷 1026-1031页

作者： Fesanghary, M. Damangir, E. Soleimani, I. Amir Kabir Univ Technol Dept Mech Engn Tehran 158754413 Iran Amir Kabir Univ Technol Dept Chem Engn Tehran 158754413 Iran

This study explores the use of global sensitivity analysis (GSA) and harmony search algorithm (HSA) for design optimization of shell and tube heat exchangers (STHXs) from the economic viewpoint. To reduce the size of the optimization problem, non-influential geometrical parameters which have the least effect on total cost of STHXs are identified using GSA. The HSA which is a meta-heuristic based algorithm is then applied to optimize the influential geometrical parameters. To demonstrate the effectiveness and accuracy of the proposed algorithm, an illustrative example is studied. Comparing the HSA results with those obtained using genetic algorithm (GA) reveals that the HSA can converge to optimum solution with higher accuracy. (C) 2008 Elsevier Ltd. All rights reserved.

关键词： Shell and tube heat exchanger harmony search algorithm Global sensitivity analysis Optimization

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Performance Study of harmony search algorithm for Multilevel Thresholding

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JOURNAL OF INTELLIGENT SYSTEMS 2016年第4期25卷 473-513页

作者： Ouadfel, Salima Taleb-Ahmed, Abdelmalik Constantine 2 Univ Coll Engn Dept Comp Sci Constantine 25000 Algeria Univ Valenciennes & Hainaut Cambresis Lab Ind & Human Automat Mech & Comp Sci LAMIH CNRSUVHCUMR 8201 F-59313 Le Mt Houy 9 Valenciennes France

Thresholding is the easiest method for image segmentation. Bi-level thresholding is used to create binary images, while multilevel thresholding determines multiple thresholds, which divide the pixels into multiple regions. Most of the bi-level thresholding methods are easily extendable to multilevel thresholding. However, the computational time will increase with the increase in the number of thresholds. To solve this problem, many researchers have used different bio-inspired metaheuristics to handle the multilevel thresholding problem. In this paper, optimal thresholds for multilevel thresholding in an image are selected by maximizing three criteria: Between-class variance, Kapur and Tsallis entropy using harmony search (HS) algorithm. The HS algorithm is an evolutionary algorithm inspired from the individual improvisation process of the musicians in order to get a better harmony in jazz music. The proposed algorithm has been tested on a standard set of images from the Berkeley Segmentation Dataset. The results are then compared with that of genetic algorithm (GA), particle swarm optimization (PSO), bacterial foraging optimization (BFO), and artificial bee colony algorithm (ABC). Results have been analyzed both qualitatively and quantitatively using the fitness value and the two popular performance measures: SSIM and FSIM indices. Experimental results have validated the efficiency of the HS algorithm and its robustness against GA, PSO, and BFO algorithms. Comparison with the well-known metaheuristic ABC algorithm indicates the equal performance for all images when the number of thresholds M is equal to two, three, four, and five. Furthermore, ABC has shown to be the most stable when the dimension of the problem is too high.

关键词： Image segmentation multilevel thresholding harmony search algorithm optimization metaheuristics

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Feasibility study for size optimisation of a geothermal/PV/wind/diesel hybrid power plant using the harmony search algorithm

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INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY 2021年第6期40卷 584-601页

作者： Naseh, Majid Reza Behdani, Emad Islamic Azad Univ Birjand Branch Dept Elect Engn Birjand Iran

Using hybrid renewable energy systems is a smart choice for reducing the carbon emitted by power plants. It also helps climate change mitigation and global warming, leading to universal health for humans and the environment. The efficiency of these systems depends on choosing the right combination of renewable sources, their sizes, and proper scheduling of the generating units. This paper suggests an optimisation method for sizing a geothermal/PV/wind/diesel system, both in off-grid and grid-connected configurations. In the grid-connected mode, the possibility of selling surplus energy generated by renewable resources to the network is considered. Investigations reveal that without accurate control of geothermal reservoirs, they may become depleted. In this study, a strategy is suggested for unit commitment;moreover, the harmony search algorithm is used to find the optimal size of the hybrid system in both configurations. The effectiveness of the proposed approach is represented by simulating an HRES for Ferdows/Iran.

关键词： hybrid renewable energy system harmony search algorithm geothermal power plant control strategy optimization

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Coupling groundwater simulation and optimization models, using MODFLOW and harmony search algorithm

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DESALINATION AND WATER TREATMENT 2017年 86卷 297-304页

作者： Antoniou, M. Theodossiou, N. Karakatsanis, D. Aristotle Univ Thessaloniki Dept Civil Engn Div Hydraul & Environm Engn Thessaloniki 54124 Greece

In this paper, a groundwater management model for which the solution is obtained through a coupled application of simulation and optimization models is analyzed. The most widely used numerical groundwater flow model, MODFLOW, which is a three-dimensional (3-D) model using the finite differences method for solving the governing groundwater flow equations, is used as the flow-simulation model. This model is then connected to the harmony search algorithm, one of the most emerging and successful metaheuristic optimization techniques, which simulates the quest for perfect harmony in music. In this paper, this technique is applied to a classic, theoretical example found in the manual of MODFLOW for comparison purposes, by examining the optimization of its aquifer system in terms of minimizing the pumping cost. For this application, a specially designed computer software programme was developed in MATLAB environment. This software, apart from coupling the simulation and optimization models, provides 2-D and 3-D graphical representations of the results allowing users to have a visual image of the piezometric surface in the whole aquifer system area. More specifically, in the specific management problem, the positions and the total required water demand for the pumping wells from the three aquifers system are pre-defined, while the optimal distribution of the pumping rates is determined through the proposed methodology. The results show that coupling flow-simulation and optimization models could be a very useful procedure when solving complex groundwater management problems.

关键词： Groundwater resources management Groundwater flow-simulation models MODFLOW harmony search algorithm Optimization

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A survey on applications of the harmony search algorithm

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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2013年第8期26卷 1818-1831页

作者： Manjarres, D. Landa-Torres, I. Gil-Lopez, S. Del Ser, J. Bilbao, M. N. Salcedo-Sanz, S. Geem, Z. W. Tecnalia Res & Innovat Optima Area Zamudio 48170 Bizkaia Spain Univ Basque Country Dept Commun Engn Bilbao 48013 Spain Univ Alcala Madrid Dept Signal Theory & Commun Madrid Spain Gachon Univ Dept Energy IT Songnam 461701 South Korea

This paper thoroughly reviews and analyzes the main characteristics and application portfolio of the so-called harmony search algorithm, a meta-heuristic approach that has been shown to achieve excellent results in a wide range of optimization problems. As evidenced by a number of studies, this algorithm features several innovative aspects in its operational procedure that foster its utilization in diverse fields such as construction, engineering, robotics, telecommunications, health and energy. This manuscript will go through the most recent literature on the application of harmony search to the aforementioned disciplines towards a three-fold goal: (1) to underline the good behavior of this modern meta-heuristic based on the upsurge of related contributions reported to date;(2) to set a bibliographic basis for future research trends focused on its applicability to other areas;(3) to provide an insightful analysis of future research lines gravitating on this meta-heuristic solver. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： harmony search algorithm State of the art Applications

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A New Optimization on harmony search algorithm for Exam Timetabling System

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JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT 2020年第1期19卷

作者： Alomari, Khaled Almarashdi, Osama Marashdh, Ala Zaqaibeh, Belal Jadara Univ Dept Business Adm Irbid Jordan Jadara Univ Dept Accounting Irbid Jordan Jadara Univ Dept Software Engn Irbid Jordan

Preparing an optimal exam timetable in universities is challenging for head of departments, especially for colleges with multiple number of departments, courses, and students. harmony search algorithm is used by many researchers to solve this problem but none of them could get an optimal solution. In this paper, a new algorithm which is called optimised harmony search algorithm with distributed selections is proposed by optimising the harmony search algorithm and the genetic algorithm. The new algorithm could satisfy hard, soft, and general constraints and generate an optimal exam timetable for a huge number of courses and students. The proposed algorithm is implemented and applied on Jadara University, the algorithm uses an upper triangular matrix to reduce relationships and memory usage, a three-dimensional matrix to ease the exams timetable management a deterministic number generators to eliminate timeslots conflicts, and backtracking algorithm to enhance the population selections. Lecturers and students' feedback showed a good satisfaction as well the system results.

关键词： Exam timetabling harmony search algorithm genetic algorithm

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Implementing an Optimal Energy Management System for a Set of Microgrids Using the harmony search algorithm

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Energy Engineering 2022年第5期119卷 1843-1860页

作者： Xiangjian Shi Teng Liu WeiMu Jianfeng Zhao School of Electrical Engineering Southeast UniversityNanjing210096China NR Electric Co. Ltd.Nanjing211106China

A microgrid(MG)refers to a set of loads,generation resources and energy storage systems acting as a controllable load or a generator to supply power and heating to a local *** MG-generated power management is a central topic for MG design and *** existence of dispersed generation(DG)resources has faced MG management with new *** on the level of exchanges between an MG and the main grid,the MG operation states can be divided into independent or grid-connected *** management in MGs aims to supply power at the lowest cost for optimal load *** study examines MG energy management in two operational modes of islanded and grid-connected,and proposes a structure with two control layers(primary and secondary)for energy *** the principal level of control,the energy management system is determined individually for all MG by taking into consideration the probability constraints and RES uncertainty by the Weibull the probability density function(PDF),generation resources’power as well as the generation surplus and deficit of each ***,the information of the power surplus and deficit of each MG must be sent to the central energy management *** confirm the proposed structure,a case system with two MGs and a condensive load is simulated by using a multi-time harmony search *** scenarios are applied to evaluate the performance of this *** findings clearly show the effectiveness of the proposed system in the energy management of several MGs,leading to the optimal performance of the resources per ***,the proposed control scheme properly controls the MG and grid’s performance in their interactions and offers a high level of robustness,stable behavior under different conditions and high quality of power supply.

关键词： harmony search algorithm multi-MG system multi-owner systems central and non-central control optimal energy management uncertainty

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