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An improved harmony search algorithm for power economic load dispatch

ENERGY CONVERSION AND MANAGEMENT 2009年第10期50卷 2522-2526页

作者： Coelho, Leandro dos Santos Mariani, Viviana Cocco Pontif Catholic Univ Parana Ind & Syst Engn Grad Program PPGEPS BR-80215901 Curitiba Parana Brazil Pontif Catholic Univ Parana Dept Mech Engn PPGEM BR-80215901 Curitiba Parana Brazil

A meta-heuristic algorithm called harmony search (HS), mimicking the improvisation process of music players, has been recently developed. The HS algorithm has been successful in several optimization problems. The HS algorithm does not require derivative information and uses stochastic random search instead of a gradient search. In addition, the HS algorithm is simple in concept, few in parameters, and easy in implementation. This paper presents an improved harmony search (IHS) algorithm based on exponential distribution for solving economic dispatch problems. A 13-unit test system with incremental fuel cost function taking into account the valve-point loading effects is used to illustrate the effectiveness of the proposed IHS method. Numerical results show that the IHS method has good convergence property. Furthermore, the generation costs of the IHS method are lower than those of the classical HS and other optimization algorithms reported in recent literature. (C) 2009 Elsevier Ltd. All rights reserved.

关键词： Optimization harmony search algorithm Power economic load dispatch

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A Multi-Objective harmony search algorithm for Sustainable Design of Floating Settlements

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algorithmS 2016年第3期9卷 51-51页

作者： Cubukcuoglu, Cemre Chatzikonstantinou, Ioannis Tasgetiren, Mehmet Fatih Sariyildiz, I. Sevil Pan, Quan-Ke Yasar Univ Dept Interior Architecture & Environm Design TR-35100 Izmir Turkey Yasar Univ Dept Architecture TR-35100 Izmir Turkey Delft Univ Technol Fac Architecture NL-2600 Delft Netherlands Yasar Univ Dept Ind Engn TR-35100 Izmir Turkey Huazhong Univ Sci & Technol Sch Mech Sci & Engn Dept Ind & Mfg Syst Engn Wuhan 430074 Peoples R China

This paper is concerned with the application of computational intelligence techniques to the conceptual design and development of a large-scale floating settlement. The settlement in question is a design for the area of Urla, which is a rural touristic region located on the west coast of Turkey, near the metropolis of Izmir. The problem at hand includes both engineering and architectural aspects that need to be addressed in a comprehensive manner. We thus adapt the view as a multi-objective constrained real-parameter optimization problem. Specifically, we consider three objectives, which are conflicting. The first one aims at maximizing accessibility of urban functions such as housing and public spaces, as well as special functions, such as a marina for yachts and a yacht club. The second one aims at ensuring the wind protection of the general areas of the settlement, by adequately placing them in between neighboring land masses. The third one aims at maximizing visibility of the settlement from external observation points, so as to maximize the exposure of the settlement. To address this complex multi-objective optimization problem and identify lucrative alternative design solutions, a multi-objective harmony search algorithm (MOHS) is developed and applied in this paper. When compared to the Differential Evolution algorithm developed for the problem in the literature, we demonstrate that MOHS achieves competitive or slightly better performance in terms of hyper volume calculation, and gives promising results when the Pareto front approximation is examined.

关键词： evolutionary computation harmony search algorithm computational design floating city optimization performance-based design multi-objective optimization

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Frequency-domain identification of a small-scale unmanned helicopter with harmony search algorithm

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INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY 2014年第2期49卷 141-149页

作者： Yang, Jiali Wang, Guanlin Zhu, Jihong Tsinghua Univ Dept Comp Sci & Technol Beijing 100084 Peoples R China

This paper presents a new method to identify the model of a small-scale helicopter in frequency domain using harmony search (HS) algorithm. The dynamics of the small-scale helicopter are simplified to four single-input/single-output (SISO) linear subsystems near the hover point, and the HS optimisation algorithm is used to identify each subsystem's parameters. Time-domain verification is made to check the validity of the identified models. The verification results show that the identified models are accurate and effective enough to describe the dynamics of the helicopter. The identified models show that the dynamics of the roll, pitch and yaw channels are mainly dominated by the lightly damped second-order modes. Identification and verification results show that the application of HS algorithm in system identification is suitable and useful.

关键词： helicopter identification harmony search algorithm frequency-domain identification unmanned helicopter

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Overview of harmony search algorithm and its applications in Civil Engineering

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EVOLUTIONARY INTELLIGENCE 2014年第1期7卷 3-16页

作者： Yoo, Do Guen Kim, Joong Hoon Geem, Zong Woo Korea Univ Res Inst Engn & Technol Seoul 136713 South Korea Korea Univ Sch Civil Environm & Architectural Engn Seoul 136713 South Korea Gachon Univ Dept Energy & Informat Technol Seongnam 461701 South Korea

harmony search (HS), a meta-heuristic algorithm, conceptualizes a musical process of searching for a perfect state of harmony (optimal solution). It allows a random search without initial values and removes the necessity for information of derivatives. Since the HS algorithm was first developed and published in 2001, it has been applied to various research areas and the world wide attention on it has rapidly increased. In this paper, applications of HS algorithm in Civil Engineering (CE) are to be overviewed. Articles in CE areas including water resources, structural, geotechnical, environmental, and traffic engineering are to be reviewed thoroughly. As a results, variety of application results show that HS can be effectively used as a tool for optimization problems in CE.

关键词： harmony search algorithm Literature review Civil Engineering

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Joint economic and emission load dispatch for the Algerian grid via an improved harmony search algorithm

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INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT 2023年 1-16页

作者： Bouaraki, Mouloud Dekhandji, Fatma Zohra Recioui, Abdelmadjid Benmissoum, Abdellah Khellas, Oussama Univ Mhamed Bougara Inst Elect & Elect Engn Signals & Syst Res Lab LSS Blvd independance Boumerdes 35000 Algeria

Renewable energy sources (RES) have been very popular as they reduce the release of damaging toxins to the air contrary to fossil fuel combustion. The economic load dispatch (ELD) issue looks for the optimal dimensioning of the RES to lessen the fuel cost while Emission Dispatch (ED) is concerned with the best dimensioning of the RESs to decrease the quantity of the produced pollutants. A multi-purpose Joint Economic-Emission Dispatch (JEED) seeks the best RES dimensioning by compromising the fuel fee and toxin release simultaneously. In this paper, a JEED problem is solved for a ten-unit Algerian Network using a recent optimization algorithm named Improved harmony search algorithm (IHSA). The obtained results suggest that the considered JEED problem proves to be more practical than when ELD and ED are dealt with separately. Also, an enhancement in terms of economic and emission dispatch is obtained for the considered case. This work also witnesses on the superiority of the IHSA over state of art approaches.

关键词： Economic load dispatch Emission dispatch Optimization harmony search algorithm

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Hybrid Local General Regression Neural Network and harmony search algorithm for Electricity Price Forecasting

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IEEE ACCESS 2021年 9卷 2044-2054页

作者： Elattar, Ehab E. Elsayed, Salah K. Farrag, Tamer Ahmed Taif Univ Dept Elect Engn Coll Engn At Taif 21944 Saudi Arabia Menou Univ Dept Elect Engn Fac Engn Shibin Al Kawm 32511 Egypt AL Azhar Univ Dept Elect Engn Fac Engn Cairo 11651 Egypt MISR Higher Inst Engn & Technol Dept Commun & Comp Mansoura 35511 Egypt

Proposing a new precise price forecasting method is still a challenging task as electricity price signals generally exhibit various complex features. In this paper, a new approach for electricity price forecasting called hybrid local general regression neural network, and harmony search algorithm (LGRNN-HSA) is proposed. The proposed LGRNN-HSA is developed by combining the coordinate delay (CD) method, local forecasting paradigm, general regression neural network (GRNN) and harmony search algorithm (HSA). The CD is employed in the proposed method to reconstruct the time series dataset. Then the local forecasting paradigm is utilized with GRNN to predict the future price based on the nearest neighbours only so that the shortcomings in global forecasting methods can be overcome. To enhance the forecasting accuracy, the HSA is employed to optimize not only the parameters of local forecasting paradigm but also the smooth parameter which has a great effect on the accuracy of GRNN. In LGRNN-HSA, a different smooth parameter for every training point is utilized instead of utilizing a constant value in GRNN. To verify the forecasting accuracy of the LGRNN-HSA, a real-world price and demand dataset is employed. The simulation results prove that the LGRNN-HSA significantly improved forecasting accuracy compared to other methods.

关键词： Forecasting Time series analysis Training Feature extraction Predictive models Optimization Neural networks Electricity price forecasting local forecasting harmony search algorithm general regression neural network parameters optimization

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Prediction of TBM Penetration Rate Using Fuzzy Logic, Particle Swarm Optimization and harmony search algorithm

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GEOTECHNICAL AND GEOLOGICAL ENGINEERING 2022年第3期40卷 1513-1536页

作者： Afradi, Alireza Ebrahimabadi, Arash Hallajian, Tahereh Islamic Azad Univ Dept Min & Geol Qaemshahr Branch Qaemshahr Iran

Tunnel Boring Machine (TBM) penetration rate prediction is one of the most important problem in tunneling projects. Estimating of Tunnel Boring Machine (TBM) penetration rate can considerably reduce the costs of tunneling projects. In this study, Datasets including Uniaxial Compressive Strength, Brazilian Tensile Strength, Density and Joint Angle as input parameters and Rate of Penetration as an output parameter. The aim of this study is estimating the penetration rate of tunnel boring machines using fuzzy logic method, harmony search algorithm (HSA) and Particle Swarm Optimization (PSO) in the Nosoud water conveyance Tunnel. The modeling results showed that the fuzzy model has a significant advantage over the PSO and HSA.

关键词： Tunnel boring machine Penetration rate Fuzzy logic Particle swarm optimization harmony search algorithm Nosoud water conveyance tunnel

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Modeling the Proposal of the Simultaneous Purchases and Sales of Electricity and Gas for the Energy Market in a Microgrid Using the harmony search algorithm

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Energy Engineering 2022年第6期119卷 2681-2709页

作者： Zinan Zhou Yirun Chen Wensheng Dai Financial School China Financial Policy Research CenterInternational Money InstituteRenmin University of ChinaBeijing100872China

The use of different energy carriers together,known as an energy hub,has been a hot topic of research in recent years amongst scientists and *** term energy hub refers to the simultaneous operation of various infrastructures for energy generation and transfer,which has gained momentum in the form of microgrids(MGs).This paper introduces a new strategy for the optimal performance of an MG consisting of different energy carriers for each *** a smart distribution network(DN),MGs can reduce their own costs in the previous-day market by bidding on sales and *** sales and purchases bidding problem is challenging due to different uncertainties,*** paper proposes a two-stage strategy for making an optimal bid on electricity sales and purchases with electricity and gas price dependency in the previous-day and real-time markets for an energy *** this model,the MG behavior regarding the electricity and gas energy sales/purchase,the simultaneous effects of electricity and gas prices,as well as the energy carriers’dependence on one another are all *** to the inherent uncertainty in the sources of clean energy production,the probabilistic model and the production and reduction scenario have been used in the paper to cover this *** the proposed grid,energy sales/purchases are presented in a multi-carrier MG in a two-stage *** model is solved by using the harmony search algorithm in *** results demonstrate the benefits of this model in reducing energy hub costs of operation.

关键词： Energy management energy market operation multi-carrier microgrids uncertainty harmony search algorithm HSA microgrids MGs distribution network DN MATLAB

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Robust Design of Power System Stabilizer using harmony search algorithm

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AUTOMATIKA 2014年第2期55卷 162-169页

作者： Hameed, Kalifullah Abdul Palani, Sankaran Anna Univ Dept Elect & Elect Egineering Madras 600025 Tamil Nadu India Anna Univ Sudharsan Engn Coll Dept Elect & Elect Egineering Madras 600025 Tamil Nadu India

In this paper, a novel harmony search algorithm (HSA) based approach for robust and optimal design of PID controller connected to power system stabilizer (PSS) is proposed for damping low frequency power oscillations of a single machine infinite bus bar (SMIB) power system. This paper attempts to optimize the three parameters (K-p, K-i,K- K-d) of PID-PSS via a music-based metaheuristic optimization algorithm inspired by the observation that the aim of music is to search for a perfect state of harmony. The problem of robustly selecting the parameters of the PSS is converted to an optimization problem which is solved by a harmony search algorithm with a carefully selected objective function. The eigenvalue analysis and the simulation results obtained for internal and external disturbances for a wide range of operating conditions show the effectiveness and robustness of the proposed harmony search algorithm based PSS (HSAPSS). Further, the time domain simulation results when compared with those obtained using conventional PSS (CPSS) and Genetic algorithm based PSS (GAPSS) show the superiority of the proposed design.

关键词： harmony search algorithm Power System Stabilizer Power System Stability

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Hybrid harmony search algorithm and Interior Point Method for Economic Dispatch with Valve-Point Effect

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INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS 2014年第3期15卷 253-261页

作者： Sivasubramani, S. Ahmad, Md. Samar Indian Inst Technol Patna Dept Elect Engn Patliputra Colony Patna 800013 Bihar India

This paper proposes a new hybrid algorithm combining harmony search (HS) algorithm and interior point method (IPM) for economic dispatch (ED) problem with valve-point effect. ED problem with valve-point effect is modeled as a non-linear, constrained and non-convex optimization problem having several local minima. IPM is a best non-linear optimization method for convex optimization problems. Since ED problem with valve-point effect has multiple local minima, IPM results in a local optimum solution. In order to avoid IPM getting trapped in a local optimum, a new evolutionary algorithm HS, which is good in global exploration, has been combined. In the hybrid method, HS is used for global search and IPM for local search. The hybrid method has been tested on three different test systems to prove its effectiveness. Finally, the simulation results are also compared with other methods reported in the literature.

关键词： harmony search algorithm interior point method economic dispatch valve-point effect

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