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Optimal allocation of shunt Var compensators in power systems using a novel global harmony search algorithm

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2012年第1期43卷 562-572页

作者： Sirjani, Reza Mohamed, Azah Shareef, Hussain Univ Kebangsaan Malaysia Dept Elect Elect & Syst Engn Bangi 43600 Selangor Malaysia

In this paper, a novel global harmony search algorithm (NGHS) is used to determine the optimal location and size of shunt reactive power compensators such as shunt capacitors, static Var compensators (SVCs), and static synchronous compensators (STATCOMs) in a transmission network. The problem is decomposed into two subproblems. The first deals with the optimal placement of shunt Var compensation devices using the modal analysis method. The second subproblem is the optimization of the load flow using the NGHS algorithm. A multi-criterion objective function is defined to enhance the voltage stability, improve the voltage profile, and minimize power loss while minimizing the total cost. The results from a 57-bus test system show that the NGHS algorithm causes lower power loss and has better voltage profile and greater voltage stability than the improved harmony search algorithm (IHS) and particle swarm optimization (PSO) techniques in solving the placement and sizing problem of shunt Var compensators. Finally, a comparison of the convergence characteristics of three optimization methods demonstrates the greater accuracy and higher speed of the proposed NGHS algorithm in finding better solutions compared with PSO and IHS. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Shunt Var compensators Power loss Modal analysis Voltage profile harmony search algorithm

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Application of the harmony search algorithm to calculate the interaction parameters in liquid-liquid phase equilibrium modeling

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FLUID PHASE EQUILIBRIA 2012年 324卷 94-101页

作者： Merzougui, A. Hasseine, A. Laiadi, D. Univ Mohamed Kheider Dept Chem Engn Biskra Algeria Univ Mohamed Kheider Lab Rech Genie Civil Hydraul Dev Durable & Enviro Biskra Algeria

The interaction parameter estimation problem in thermodynamic models is an important requirement and a common task in many areas of chemical engineering because these models form the basis for synthesis, design, optimization and control of process systems. Recently, this problem has been solved using minimization of Gibbs free energy, using global optimization techniques. In this paper, liquid-liquid equilibrium (LLE) data of ternary system (water + alcohol + isopropyl ether) at 298.15 K is experimentally investigated, A newly developed heuristic algorithm, harmony search algorithm (HSA) is applied for solving the liquid-liquid phase equilibrium and estimation of binary interaction parameters of this ternary systems. The results of the proposed method are compared with the results given by other optimisation techniques such as genetic algorithm (GA). In all cases, the obtained solutions using the modified HSA are valuable. (C) 2012 Elsevier B.V. All rights reserved.

关键词： Liquid-liquid equilibrium Binary interaction parameters harmony search algorithm Genetic algorithm Experimental

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Sizing and Allocation of Distributed Energy Resources for Loss Reduction using Heuristic algorithms

Sizing and Allocation of Distributed Energy Resources for Lo...

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IEEE Power and Energy Conference at Illinois (PECI)

作者： Sirat, Ali Parsa Mehdipourpicha, Hossein Zendehdel, Niloofar Mozafari, Hamid Missouri Univ Sci & Technol Rolla MO 65409 USA

ISBN: (纸本)9781728152998

Loss minimization in distribution networks (DN) is of great significance since the trend to the distributed generation (DG) requires the most efficient operating scenario possible for economic viability variations. Moreover, voltage instability in DNs is a critical phenomenon and can lead to a major blackout in the system. The decreasing voltage stability level restricts the increase of load served by distribution companies. DG can be used to improve DN capabilities and brings new opportunities to traditional DNs. However, installation of DG in non-optimal places can result in an increase in system losses, voltage problems, etc. In this paper, genetic algorithm (GA), harmony search algorithm (HSA) and improved HSA have been applied to determine the optimal location of DGs. Simulation results for an IEEE 33 bus network are compared for different algorithms, and the best algorithm is stated for minimum losses.

关键词： Distributed Energy Resources Genetic algorithm harmony search algorithm Loss Reduction Radial Distribution System

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An Improved Optimization algorithm Applied in Image Processing 32

An Improved Optimization Algorithm Applied in Image Processi...

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32nd Chinese Control And Decision Conference (CCDC)

作者： Zhang, Ping Thomson, John Douglas Zhang, Yining Anshan Normal Univ Phys Dept Anshan 114005 Peoples R China RMIT Univ Grad Sch Business & Law Melbourne Vic 3000 Australia

ISBN: (纸本)9781728158556

Aim to improve the default of harmony search (HS) algorithm which is easily trapping into local optima while doing global search. An improved optimization algorithm presented in this paper. Mining historical iteration information to set up an instructive dataset, then the global search mechanism is combined with a local search strategy. After that, an integer planning study based on distance strategy and the fuzzy constraint processing in spatial division of solution space. The proposed model combines with FCM applied in image processing. The experimental results show that the proposed method can get more accuracy and less CPU operation time versus FCM and s-FCM.

关键词： harmony search algorithm Image Processing FCM Local Optimization

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A hybrid dynamic harmony search algorithm for identical parallel machines scheduling

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ENGINEERING OPTIMIZATION 2012年第2期44卷 209-224页

作者： Chen, Jing Pan, Quan-Ke Wang, Ling Li, Jun-Qing Huazhong Univ Sci & Technol State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Peoples R China Liaocheng Univ Coll Comp Sci Liaocheng Peoples R China Tsinghua Univ Dept Automat TNList Beijing 100084 Peoples R China

In this article, a dynamic harmony search (DHS) algorithm is proposed for the identical parallel machines scheduling problem with the objective to minimize makespan. First, an encoding scheme based on a list scheduling rule is developed to convert the continuous harmony vectors to discrete job assignments. Second, the whole harmony memory (HM) is divided into multiple small-sized sub-HMs, and each sub-HM performs evolution independently and exchanges information with others periodically by using a regrouping schedule. Third, a novel improvisation process is applied to generate a new harmony by making use of the information of harmony vectors in each sub-HM. Moreover, a local search strategy is presented and incorporated into the DHS algorithm to find promising solutions. Simulation results show that the hybrid DHS (DHS_LS) is very competitive in comparison to its competitors in terms of mean performance and average computational time.

关键词： parallel machines scheduling makespan harmony search algorithm variable neighbourhood search local search

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Multi-product multi-chance-constraint stochastic inventory control problem with dynamic demand and partial back-ordering: A harmony search algorithm

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JOURNAL OF MANUFACTURING SYSTEMS 2012年第2期31卷 204-213页

作者： Taleizadeh, Ata Allah Niaki, Seyed Taghi Akhavan Seyedjavadi, Seyed Mohammad Haji Sharif Univ Technol Dept Ind Engn Tehran *** Iran Iran Univ Sci & Technol Dept Ind Engn Tehran Iran Islamic Azad Univ Dept Comp Engn Qazvin Iran

In this paper, a multiproduct inventory control problem is considered in which the periods between two replenishments of the products are assumed independent random variables, and increasing and decreasing functions are assumed to model the dynamic demands of each product. Furthermore, the quantities of the orders are assumed integer-type, space and budget are constraints, the service-level is a chance-constraint, and that the partial back-ordering policy is taken into account for the shortages. The costs of the problem are holding, purchasing, and shortage. We show the model of this problem is an integer nonlinear programming type and to solve it, a harmony search approach is used. At the end, three numerical examples of different sizes are given to demonstrate the applicability of the proposed methodology in real world inventory control problems, to validate the results obtained, and to compare its performances with the ones of both a genetic and a particle swarm optimization algorithms. (C) 2011 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.

关键词： Inventory control Multi-product multi-constraint Dynamic demand Stochastic replenishment Partial back-ordering harmony search algorithm

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Network decomposition using Kernighan-Lin strategy aided harmony search algorithm

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SWARM AND EVOLUTIONARY COMPUTATION 2012年 7卷 1-6页

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

Power system is a large-scale network with a number of components and interconnections for which centralized control becomes cumbersome. For multi-area computations, decentralization is necessary. For implementation of this approach network decomposition becomes an essential task. In this paper the network decomposition problem is solved as an optimization problem using the harmony search (HS) algorithm. To improve the performance of the HS algorithm, a widely used graph bi-partitioning method called Kernighan-Lin (KL) strategy is used in the improvisation process. KL strategy is used in the partitioning of digital and VLSI circuits and is suitable for bi-partitioning networks. The connectivity of the partitioned clusters are checked by means of graph traversal techniques. Simulation are carried out on IEEE Standard systems and found to be very effective in decomposition of the system hierarchically. (C) 2012 Elsevier B.V. All rights reserved.

关键词： Network decomposition Distributed computing harmony search algorithm Kernighan-Lin algorithm

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Development of Optimal Pump Operation Method for Urban Drainage Systems 5th

Development of Optimal Pump Operation Method for Urban Drain...

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5th International Conference on harmony search, Soft Computing and Applications (ICHSA)

作者： Hwang, Yoon Kwon Kwon, Soon Ho Lee, Eui Hoon Kim, Joong Hoon Korea Univ Dept Civil Environm & Architectural Engn Seoul South Korea Chungbuk Natl Univ Sch Civil Engn Cheongju South Korea Korea Univ Sch Civil Environm & Architectural Engn Seoul South Korea

ISBN: (纸本)9783030319670;9783030319663

Recently, climate change and urbanization have been caused by urban flood. To mitigate flood, there are structural measures such as detention reservoir and pump station and non-structural measures such as pump operation rules and gate operation rules. However, structural measures cannot cope with rainfall stronger than design rainfall intensity and need to construct to develop flood mitigation capacity. Urban drainage system needs non-structural measures that maximize the efficiency of structural measures. The efficient operation of the pump as one of non-structural measures can develop the discharge capacity of urban drainage system to prevent urban flood. In this study, we proposed advanced optimal pump operation at Mokgam stream located Seoul and Gyeonggi-do. Advanced optimal pump operation is considering the water level of the vulnerable points and the water level of reservoirs. Risk of flooding is predicted by the water level of vulnerable point and reservoir. Therefore, pump station is able to proactively start the pump compared to the current pump operation, reservoir secures free space to develop flood mitigation effect and discharge capacity.

关键词： Optimal pump operation harmony search algorithm Multiobjective optimization Non-structural measures

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Reduction of Total Harmonic Distortion of Wind Turbine Active Power Using Blade Angle Adaptive PI Controller

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ENERGIES 2021年第20期14卷 6798页

作者： Shawqran, Ahmed M. El-Marhomy, Abdallah Sameh, Mariam A. Attia, Mahmoud A. Ain Shams Univ Phys & Engn Math Dept Fac Engn Cairo 11835 Egypt Future Univ Egypt Dept Elect Engn Fac Engn Cairo 11835 Egypt Ain Shams Univ Elect Power & Machines Dept Fac Engn Cairo 11835 Egypt

Power quality can have a large detrimental effect on industrial processes and the commercial sector. Thus, this paper proposes a new technique to improve the power quality of electric power systems. This technique relies on auto-adjusting of the blade angle to mitigate the harmonics in wind generator active power. A new adaptive PI blade-angle controller is applied in this technique to reduce the total harmonic distortion (THD) of the output power. The parameters of the adaptive PI controller are initialized by using the harmony search algorithm (HSA), hybrid harmony search optimization and Equilibrium optimization (EO), and hybrid harmony search optimization and Teaching learning-based optimization (TLBO). The execution of the optimization algorithms relies mainly on the optimization objective function. Two optimization objective functions are mathematically modeled and compared to enhance the power quality. The first one is to minimize the sum square of error, while the second objective is to minimize the THD. Many case studies are applied with various wind-speed profiles under normal and faulty conditions. Results show the superiority of HSA hybrid EO algorithm with the second objective functions through reducing the harmonics and enhancing the power quality. Moreover, laboratory studies are applied to investigate the effect of the blade-angle variations on the extracted active power.

关键词： wind turbine adaptive PI PID controller power quality total harmonic distortion harmony search algorithm equilibrium optimization

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Applying optimized relevance vector regression approach for indirect forecasting rock mass deformation modulus

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ENVIRONMENTAL EARTH SCIENCES 2021年第22期80卷 733-733页

作者： Fattahi, Hadi Arak Univ Technol Fac Earth Sci Engn Arak Iran

Rock mass deformation modulus is a significant design parameter in surface/underground projects such as foundations, slopes and tunnels. Due to the presence of discontinuities in the rock mass, determining this deformation modulus by analyzing cylindrical core samples is very difficult. Since it is difficult to determine the deformability of rock masses at the laboratory scale, several in situ test techniques have been developed, such as dilatometer, plate-loading tests, and so on. However, determining the deformation modulus from in situ test techniques is highly costly, time-consuming and sometimes impossible to perform. To address this issue, in this paper, the results of the application of relevance vector regression (RVR) optimized by harmony search (HS) to create an estimation model for the indirect predicting rock mass deformation modulus was presented. The RVR-HS model was applied to data from open access literature. In this model, the deformation modulus was used as the output, while elastic modulus of intact rock (E-i), uniaxial compressive strength of intact rock (UCS), rock mass rating (RMR) and depth were as the input variables. The RVR-HS model, with MSE = 0.0172 and R-2 = 0.8696, is a dependable technique for forecasting the deformation modulus with a high level of precision and reliability.

关键词： Relevance vector regression Deformation modulus harmony search algorithm Rock mass

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