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第30届中国控制与决策会议

作者： Junchang Zhai Liqun Gao College of Information Science and Technology Bohai University School of Information Science Engineering Northeastern University

To improve the optimization performance of harmony search algorithm, an improved novel global harmony search(INGHS) algorithm with new improvisation process is proposed in this paper. INGHS algorithm is presented to address robust pole assignment for descriptor system with all the finite poles restrict in an arbitrary specified circular region. The object is converted into a nonlinear optimization problem with constraints for the transient performance request. In terms of the robust circular region stability constraints, the upper bound of the spectral norm for the perturbation or the uncertainty is optimized such that the desired poles of the closed-loop system and the state feedback controller can be optimized simultaneously. To evaluate the performance of the proposed INGHS algorithm, comparison with other harmony search variants algorithm for the problem is carried out. Finally, the simulation results illustrate the effectiveness of the proposed method.

关键词： descriptor system robust pole assignment region stability harmony search algorithm

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Application and Design of New Controller Based on Fuzzy PID and FACTS Devices in Multi-machine Power System

Application and Design of New Controller Based on Fuzzy PID ...

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IEEE International Conference on Environment and Electrical Engineering (EEEIC) / IEEE Industrial and Commercial Power Systems Europe (ICPS Europe)

作者： Bagheri, Mehdi Mukhatov, Azamat Abedinia, Oveis Naderi, Mohammad Salay Naderi, Mehdi Salay Ghadimi, Noradin Nazarbayev Univ Elect & Comp Engn Dept Astana 010000 Kazakhstan Budapest Univ Technol & Econ Dept Elect Power Engn Budapest Hungary Islamic Azad Univ Elect & Comp Engn Dept Tehran North Branch Tehran Iran Amirkabir Univ Technol Iran Grid Secure Operat Res Ctr Tehran Iran Islamic Azad Univ Young Researchers & Elite Club Ardabil Branch Ardebil Iran

ISBN: (纸本)9781538651865

This paper presents a new strategy includes of fuzzy PID controller and Flexible AC transmission system (FACTS) devices in power system for damping the oscillation. This models improves the stability in multi-machine power system by coupling the fuzzy controller with an intelligent algorithm and equipping the FACTS devices to control voltages and power flows. Also, the thyristor-controlled series capacitor (TCSC) as well as Static VAR Compensator (SVC) effects have been considered in this design. The harmony search algorithm (HSA) is applied in this model for fine tuning of the fuzzy PID parameters through time overriding and stability enhancement of proposed controller. Effectiveness of the proposed approach is applied over standard multi-machine power system through comparison with other techniques. Obtained results demonstrate the validity of proposed strategy.

关键词： FACTS devices Fuzzy PID harmony search algorithm stability multi-machine

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An Improved Optimization algorithm Applied in Image Processing 37

An Improved Optimization Algorithm Applied in Image Processi...

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37th Chinese Control Conference (CCC)

作者： Zhang, Ping Wang, Hongyu Zhang, Yining Anshan Normal Univ Dept Phys Anshan 114005 Peoples R China

ISBN: (纸本)9789881563958

To deal with the default of harmony search algorithm (HSA) of trapping into local optima for search for optimization results. An improved algorithm-harmony search has been presented in this paper. And inspired by big data analysis, I present a new concept-analysis and application of historical data. A mass of data, generated in the search process of the HSA, can be used to set up an instructive think tank to guide the optimizing search instead of the optimal solution and elitist solution app: addword: Elitist solution. After that, a probability distribution model is built according to historical data to forecast search trend. Specifically, the following tasks will be carried out and applied in image processing. The experience results have been proved that the new model would get better results than harmony search algorithm.

关键词： harmony search algorithm Image processing Instructive think tank Optimization system

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harmony Pigeon Inspired Optimization for Appliance Scheduling in Smart Grid 32

Harmony Pigeon Inspired Optimization for Appliance Schedulin...

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32nd IEEE International Conference on Advanced Information Networking and Applications (AINA)

作者： Khan, Nasir Javaid, Nadeem Khan, Muhammad Subhani, Ahmed Mateen, Abdul Iqbal, Arshad COMSATS Inst Informat Technol Islamabad 44000 Pakistan Bahauddin Zakariya Univ Dept Informat Technol Multan Pakistan

ISBN: (纸本)9781538621950

Since the development of Smart Grid (SG), Home Energy Management (HEM) systems are emerged widely into it and consumers have an opportunity to schedule their smart appliances efficiently in smart homes. In this research, meta-heuristic techniques harmony search algorithm (HSA), Pigeon Inspired Optimization (PIO) and our proposed harmony Pigeon Inspired Optimization (HPIO) are adopted to efficiently schedule smart appliances in smart home. The aim of using the above proposed techniques is to reduce Electricity Cost (EC) and Peak-to-Average Ratio (PAR). HEM is proposed to further evaluate the performance of evaluated techniques. In this work, single home and multiple homes which consist of 10,30 and 50 homes are considered equipped with multiple smart appliances. These appliances are divided into three sets, which are thermostatically and non-thermostatically controllable, and non-controllable appliances under Time-of Use (ToU) pricing scheme. Simulations are carried out on these parameters and results shows that proposed technique HPIO performed better than HSA and PIO in terms of minimizing waiting time and PAR. We have considered User Comfort (UC) in terms of waiting time.

关键词： smart grid demand response harmony search algorithm peak-to-average ratio user comfort

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Design and Analysis of Optimized Hybrid Active Power Filter for Electric Arc Furnace Load 1st

Design and Analysis of Optimized Hybrid Active Power Filter ...

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1st International Conference on Advanced Computational and Communication Paradigms (ICACCP)

作者： Jhapte, Rajkumar Patel, R. N. Neema, D. D. SSGI Shri Shankaracharya Tech Campus Dept EEE Bhilai Chhattisgarh India Yugantar Inst Technol & Management Dept EEE Rajnandgaon Chhattisgarh India

ISBN: (纸本)9789811082405;9789811082399

Nowadays, nonlinear loads are being proved as a responsible factor for increase in harmonics and lead to current and voltage disturbances, thus declining the potential of the power system. In this paper, the harmonic minimization is carried out by the comparison of the performance of optimization techniques, viz., Genetic algorithm (GA), Particle Swarm Optimization (PSO), and harmony search algorithm (HSA) for tuning the parameters of PI controllers in the implementation on shunt hybrid filter. The modeling approach involves the design of Shunt Hybrid Active Power Filter (SHAPF) using different optimization techniques. The proposed work focuses on using a controlled strategy for extracting the voltage and current harmonics from arc furnace load using hybrid active power filters, and has been implemented using MATLAB platform. The proposed techniques give the THD content which is minimum using HSA as compared to the GA and PSO optimized PI controllers. Thus, the implementation of the proposed work leads to an improvement in the overall performance of the system. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Controller Electric arc furnace load Fast Fourier transform Genetic algorithm harmony search algorithm Hybrid active power filters Optimization technique Particle swarm optimization Power quality Total harmonic distortion

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Optimal Battery Sizing in Wind System Using Firefly and harmony search Techniques 19

Optimal Battery Sizing in Wind System Using Firefly and Harm...

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19th International Middle East Power Systems Conference (MEPCON)

作者： Ibrahim, Ibrahim M. Omran, Walid A. Mekhamer, S. F. Ain Shams Univ Elect Power & Machines Dep Cairo Egypt Future Univ Egypt Cairo Egypt

ISBN: (纸本)9781538609903

This paper investigates the use of the battery storage to solve the power fluctuations problem of a grid connected wind energy system. The main objective of the study is to obtain the optimal size of the battery which reduces the wind power fluctuations to be within acceptable limits and maximizes the profit gained from selling the energy to the grid. The formulated optimization problem is solved using two optimization techniques;the Firefly algorithm and the harmony search algorithm which have not been used in the previous studies related to the wind power fluctuations problem presented in this paper. The problem codes are implemented using MAT LAB program.

关键词： Firefly algorithm harmony search algorithm Optimization problem Power fluctuations problem

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Hybrid Teaching-Learning Based Optimization with harmony search for Engineering Optimization Problems 36

Hybrid Teaching-Learning Based Optimization with Harmony Sea...

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第36届中国控制会议

作者： Haibin Ouyang Ge Ma Guiyun Liu Zhifu Li Xiaojing Zhong School of Mechanical and Electric Engineering Guangzhou University

ISBN: (纸本)9781538629185

In order to improve the performance of teaching-learning-based optimization algorithm, a hybrid teaching-learning-based optimization algorithm is presented in this paper. The hybrid approach combine with the strength of harmony search algorithm and teaching-learning-based optimization algorithm, which is aim to enhance the global search ability and local exploitation cababillity. Moreover, A new learning operation is used in learning phase for improving learning efficiency. Several classic engineering cases are selected to evaluate the performance of the proposed algorithm. Results reveal that the proposed algorithm outperforms TLBO and some other promising approachs.

关键词： teaching-learning-based optimization harmony search algorithm learning operation

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A local-best harmony search algorithm with dynamic sub-harmony memories for lot-streaming flow shop scheduling problem

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EXPERT SYSTEMS WITH APPLICATIONS 2011年第4期38卷 3252-3259页

作者： Pan, Quan-Ke Suganthan, P. N. Liang, J. J. Tasgetiren, M. Fatih Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore Liaocheng Univ Coll Comp Sci Liaocheng 252059 Peoples R China Zhengzhou Univ Sch Elect Engn Zhengzhou 450001 Peoples R China Yasar Univ Dept Ind Engn Izmir Turkey

In this paper, a local-best harmony search (HS) algorithm with dynamic sub-harmony memories (HM), namely DLHS algorithm, is proposed to minimize the total weighted earliness and tardiness penalties for a lot-streaming flow shop scheduling problem with equal-size sub-lots. First of all, to make the HS algorithm suitable for solving the problem considered, a rank-of-value (ROV) rule is applied to convert the continuous harmony vectors to discrete job sequences, and a net benefit of movement (NBM) heuristic is utilized to yield the optimal sub-lot allocations for the obtained job sequences. Secondly, an efficient initialization scheme based on the NEH variants is presented to construct an initial HM with certain quality and diversity. Thirdly, during the evolution process, the HM is dynamically divided into many small-sized sub-HMs which evolve independently so as to balance the fast convergence and large diversity. Fourthly, a new improvisation scheme is developed to well inherit good structures from the local-best harmony vector in the sub-HM. Meanwhile, a chaotic sequence to produce decision variables for harmony vectors and a mutation scheme are utilized to enhance the diversity of the HM. In addition, a simple but effective local search approach is presented and embedded in the DLHS algorithm to enhance the local searching ability. Computational experiments and comparisons show that the proposed DLHS algorithm generates better or competitive results than the existing hybrid genetic algorithm (HGA) and hybrid discrete particle swarm optimization (HDPSO) for the lot-streaming flow shop scheduling problem with total weighted earliness and tardiness criterion. (C) 2010 Elsevier Ltd. All rights reserved.

关键词： Flow shop Lot-streaming Scheduling problem harmony search algorithm Weighted earliness and tardiness

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Multi-objective harmony search algorithm for optimal power flow problem

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2011年第3期33卷 745-752页

作者： Sivasubramani, S. Swarup, K. S. Indian Inst Technol Madras Dept Elect Engn Madras 600036 Tamil Nadu India

This paper proposes a multi-objective harmony search (MONS) algorithm For optimal power flow (OPF) problem. OPF problem is formulated as a non-linear constrained multi-objective optimization problem where different objectives and various constraints have been considered into the formulation. Fast elitist non-dominated sorting and crowding distance have been used to find and manage the Pareto optimal front. Finally, a fuzzy based mechanism has been used to select a compromise solution from the Pareto set. The proposed MONS algorithm has been tested on IEEE 30 bus system with different objectives. Simulation results are also compared with fast non-dominated sorting genetic algorithm (NSGA-II) method. It is clear from the comparison that the proposed method is able to generate :rue and well distributed Pareto optimal solutions for OPF problem. (c) 2011 Ebevier Ltd. All rights reserved.

关键词： harmony search algorithm Optimal power flow Multi-objective optimization Fuel cost minimization Voltage stability enhancement

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Optimal synthesis of linear antenna arrays using a harmony search algorithm

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EXPERT SYSTEMS WITH APPLICATIONS 2011年第12期38卷 15455-15462页

作者： Guney, K. Onay, M. Nuh Naci Yazgan Univ Dept Elect & Elect Engn Fac Engn Kayseri Turkey Erciyes Univ Dept Aircraft Elect & Elect Civil Aviat Sch TR-38039 Kayseri Turkey

A method based on harmony search algorithm (HSA) for the pattern synthesis of linear antenna arrays with the prescribed nulls is presented. Nulling of the pattern is achieved by controlling the amplitude-only, the phase-only, and the position-only. The HSA is conceptualized using the musical process of searching for a perfect state of harmony. To show the effectiveness of the proposed HSA, several examples of linear antenna array patterns with the imposed single, multiple and broad nulls are given. It is found that the nulling method based on HSA is capable of steering the array nulls precisely to the undesired interference directions. The results of HSA are compared with the results of the modified touring ant colony optimization (MTACO), the bees algorithm (BA), the bacterial foraging algorithm (BFA), the plant growth simulation algorithm (PGSA), the clonal selection algorithm (CLONALG), the particle swarm optimization (1,50), the quadratic programming method (QPM), the tabu search algorithm (TSA), the genetic algorithm (GA), the memetic algorithm (MA), the nondominated sorting genetic algorithm 2 (NSGA-2), the multiobjective differential evolution (MODE), and the multiobjective evolutionary algorithms based on decomposition with differential evolution (MOEA/D-DE). (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Antenna array Interference suppression harmony search algorithm Array synthesis

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