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Robust Design of Power System Stabilizer using harmony search algorithm

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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Design of low complexity sharp MDFT filter banks with perfect reconstruction using hybrid harmony-gravitational search algorithm

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ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH 2015年第4期18卷 648-657页

作者： Sakthivel, V. Elias, Elizabeth Natl Inst Technol Calicut Dept Elect & Commun Engn Kozhikode Kerala India

The design of low complexity sharp transition width Modified Discrete Fourier Transform (MDFT) filter bank with perfect reconstruction (PR) is proposed in this work. The current trends in technology require high data rates and speedy processing along with reduced power consumption, implementation complexity and chip area. Filters with sharp transition width are required for various applications in wireless communication. Frequency response masking (FRM) technique is used to reduce the implementation complexity of sharp MDFT filter banks with PR. Further, to reduce the implementation complexity, the continuous coefficients of the filters in the MDFT filter banks are represented in discrete space using canonic signed digit (CSD). The multipliers in the filters are replaced by shifters and adders. The number of non-zero bits is reduced in the conversion process to minimize the number of adders and shifters required for the filter implementation. Hence the performances of the MDFT filter bank with PR may degrade. In this work, the performances of the MDFT filter banks with PR are improved using a hybrid harmony-Gravitational search algorithm. (C) 2015 Karabuk University. Production and hosting by Elsevier B.V.

关键词： MDFT filter banks with PR Frequency response masking Canonic signed digit Hybrid harmony-gravitational search algorithm Artificial bee colony algorithm Gravitational search algorithm harmony search algorithm Genetic algorithm

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Enhancing Node Localization Accuracy in Wireless Sensor Networks: A Hybrid Approach Leveraging Bounding Box and harmony search

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IEEE ACCESS 2024年 12卷 86752-86781页

作者： Omari, Mohammed Kaddi, Mohammed Salameh, Khouloud Alnoman, Ali Elfatmi, Khadra Baarab, Fadila Amer Univ Ras Al Khaimah Comp Sci & Engn Dept Ras Al Khaymah U Arab Emirates Ahmed Draia Univ Adrar Math & Comp Sci Dept LDDI Lab Adrar 01025 Algeria

Accurate node localization in Wireless Sensor Networks (WSNs) is crucial for applications like environmental monitoring and military surveillance. Traditional localization methods, such as trilateration, often struggle with accuracy due to signal attenuation and environmental obstructions, leading to significant localization errors in practical scenarios. This paper aims to address the limitations of traditional localization methods by developing and evaluating a hybrid localization method that enhances accuracy and robustness in node localization within WSNs. The proposed method integrates the Bounding Box approach with the harmony search optimization algorithm, resulting in the Bounding Box harmony search (BBHS) method. The BBHS method utilizes the initial geometric constraints provided by the Bounding Box approach and refines these estimates using the global optimization capabilities of the harmony search algorithm. Simulation results, obtained using a custom-developed WSN localization simulator, demonstrate that the BBHS method significantly reduces localization errors compared to traditional trilateration and the standalone Bounding Box method. The BBHS method consistently provides enhanced accuracy and robustness across varying network conditions, highlighting its effectiveness in practical deployment scenarios. The advancements presented in this paper suggest that hybrid methods like BBHS represent a significant step forward in WSN localization technologies. By combining geometric constraints with optimization processes, the BBHS method overcomes the drawbacks of earlier techniques, paving the way for more reliable and resilient WSN operations.

关键词： Optimization Wireless sensor networks (WSNs) node localization trilateration bounding box method harmony search algorithm localization accuracy

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Performance evaluation of Non-Uniform circular antenna array using integrated harmony search with Differential Evolution based Naked Mole Rat algorithm

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EXPERT SYSTEMS WITH APPLICATIONS 2022年第0期189卷 116146-116146页

作者： Singh, Harbinder Abouhawwash, Mohamed Mittal, Nitin Salgotra, Rohit Mahajan, Shubham Pandit, Amit Kant Chandigarh Univ Dept Elect & Commun Engn Mohali Punjab India Mansoura Univ Fac Sci Dept Math Mansoura 35516 Egypt Michigan State Univ Dept Computat Math Sci & Engn CMSE E Lansing MI 48824 USA Thapar Univ Dept Elect & Commun Engn Patiala Punjab India Shri Mata Vaishno Devi Univ Sch Elect & Commun Katra 182320 J&K India

In many wireless applications, circular antenna arrays are commonly used but managing the lower side lobe with high directivity is still challenging. Many typical methods could be used to synthesize the array in real time but lag behind to retain high directivity and the low sidelobe level. This study formulates an optimization problem to obtain the desired main lobe direction, suppress the subsidiary lobe, and maximizes the directivity. A modified optimization algorithm is proposed called Integrated harmony search with Differential Evolution based Naked Mole Rat algorithm (IHDN) to rapidly and reliably refine control parameters. Simulations are performed, and results are compared to other traditional algorithms. The findings show that the proposed algorithm results in excellent side lobe minimization with good directivity. The size analysis indicates that good directivity values with low sidelobe levels can be obtained for a smaller number of antenna elements.

关键词： Circular antenna array Directivity harmony search algorithm Naked mole rat algorithm Differential evolution Side lobe level

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Opposition-Based Learning harmony search algorithm with Mutation for Solving Global Optimization Problems

Opposition-Based Learning Harmony Search Algorithm with Muta...

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26th Chinese Control and Decision Conference (CCDC)

作者： Wang, Hao Ouyang, Haibin Gao, Liqun Qin, Wei Northeastern Univ Sch Informat Sci & Engn Shenyang 110819 Peoples R China

ISBN: (纸本)9781479937066

This paper develops an opposition-based learning harmony search algorithm with mutation (OLHS-M) for solving global continuous optimization problems. The proposed method is different from the original harmony search (HS) in three aspects. Firstly, opposition-based learning technique is incorporated to the process of improvisation to enlarge the algorithm search space. Then, a new modified mutation strategy is instead of the original pitch adjustment operation of HS to further improve the search ability of HS. Effective self-adaptive strategy is presented to fine-tune the key control parameters (e.g. harmony memory consideration rate HMCR, and pitch adjustment rate PAR) to balance the local and global search in the evolution of the search process. Numerical results demonstrate that the proposed algorithm performs much better than the existing improved HS variants that reported in recent literature in terms of the solution quality and the stability.

关键词： harmony search algorithm Mutation Operation Opposition-Based Learning search Space Stability

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A Hybrid harmony search algorithm for Solving Dynamic Optimisation Problems

A Hybrid Harmony Search Algorithm for Solving Dynamic Optimi...

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14th Annual International Conference on Computational Science

作者： Turky, Ayad Mashaan Abdullah, Salwani Sabar, Nasser R. Univ Kebangsaan Malaysia Bangi 43600 Selangor Malaysia Swinburne Univ Technol Fac Informat & Commun Technol Hawthorn Vic 3122 Australia Univ Nottingham Malaysia Semenyih 43500 Selangor Malaysia

Many optimisation problems are dynamic in the sense that changes occur during the optimisation process, and therefore are more challenging than the stationary problems. To solve dynamic optimisation problems, the proposed approaches should not only attempt to seek the global optima but be able to also keep track of changes in the track record of landscape solutions. In this research work, one of the most recent new population-based meta-heuristic optimisation technique called a harmony search algorithm for dynamic optimization problems is investigated. This technique mimics the musical process when a musician attempts to find a state of harmony. In order to cope with a dynamic behaviour, the proposed harmony search algorithm was hybridised with a (i) random immigrant, (ii) memory mechanism and (iii) memory based immigrant scheme. The performance of the proposed harmony search is verified by using the well-known dynamic test problem called the Moving Peak Benchmark (MPB) with a variety of peaks. The empirical results demonstrate that the proposed algorithm is able to obtain competitive results, but not the best for most of the cases, when compared to the best known results in the scientific literature published so far.

关键词： harmony search algorithm Dynamic optimization problems Meta-Heuristic

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Improved harmony search algorithm For Economic Emission Dispatch 2

Improved Harmony Search Algorithm For Economic Emission Disp...

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IEEE 2nd International Conference on Electrical Energy Systems (ICEES)

作者： Geethanjali, S. Shanmugapriya, S. SRM Univ Dept Elect & Elect Engn Kattankulathur Tamil Nadu India

ISBN: (纸本)9781479937394

The economic emission dispatch (EED) assumes a lot of significance to meet the clean energy requirements of the society and simultaneously minimizes the cost of generation. The harmony search algorithm (HSA), mimicking the improvisation process of music players, is a music inspired heuristic algorithm;and searches for optimal solution through the memory consideration and pitch adjustment. This paper presents an Improved HSA (DNA) based strategy for obtaining the robust solution of EED problem. The feasibility of the proposed approach is evaluated through three test systems and the results are presented to highlight its suitability for practical applications.

关键词： harmony search algorithm economic load dispatch economic emission

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Optimization of EM railgun based on orthogonal design method and harmony search algorithm 17

Optimization of EM railgun based on orthogonal design method...

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17th IEEE International Symposium on Electromagnetic Launch Technology (EML)

作者： Yan, Yan Chao, Tao Ma, Ping Yang, Ming Hu, Yuwei Harbin Inst Technol Control & Simulat Ctr Harbin 150001 Peoples R China

ISBN: (纸本)9781479927333

The muzzle velocity is a key index to reflect the performance of electromagnetic(EM) railgun. In order to obtain an optimal solution of muzzle velocity accurately and quickly in numerical simulation, an approach of combining orthogonal design method(ODM) and harmony search(HS) algorithm is presented. There are up to 11 factors to be considered in affecting the muzzle velocity, including eight trigger delay times of pulsed power supply (PPS), the operating voltage of PPS, the length of rail and the mass of projectile. By ODM analysis, the best level combinations of these factors are selected and the significant degree of these factors is ordered. Therefore, the varying ranges of these factors are decided and a hierarchical factor optimization model is built. The optimization model is solved by HS algorithm with the penalty function method added to satisfy process constraints, such as the peak of current is bounded under 420KA. Finally, the proposed approach and the simple HS algorithm are compared. The results indicate that, by using the proposed approach, the average of original velocity is increased by 43.53%, and the average of best velocity at last, is increased by 1.34%

关键词： Optimization Electromagnetic Railgun Orthogonal Design harmony search algorithm Penalty Function

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Solution of the Inverse Continuous Casting Problem with the Aid of Modified harmony search algorithm

Solution of the Inverse Continuous Casting Problem with the ...

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10th International Conference on Parallel Processing and Applied Mathematics (PPAM)

作者： Hetmaniok, Edyta Slota, Damian Zielonka, Adam Silesian Tech Univ Inst Math PL-44100 Gliwice Poland

ISBN: (纸本)9783642552243

In the paper a description of procedure for solving the inverse problem of continuous casting is given. The problem consists in reconstruction of the cooling conditions of solidified ingot and is based on minimization of the appropriate functional by using the modified harmony search algorithm - the algorithm of artificial intelligence inspired by process of composing the jazz music.

关键词： Artificial intelligence harmony search algorithm Inverse continuous casting problem

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