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Optimal reactive power control of DGs for voltage regulation of MV distribution systems using sensitivity analysis method and pso algorithm

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2015年 68卷 52-60页

作者： Zad, B. Bakhshideh Hasanvand, H. Lobry, J. Vallee, F. Univ Mons Dept Elect Power Engn Fac Polytech B-7000 Mons Belgium TREC Tehran Iran

This paper addresses the problem of reactive power control of distributed generation (DG) units in the medium voltage (MV) distribution systems to maintain the system voltages within the predefined limits. An efficient approach for the load flow calculation is used here which is based on the topological structure of the network. It has been formulated for the radial distribution systems. A direct voltage sensitivity analysis method is developed in this paper which is also based on the topological structure of the network and independent of the network operating points. Thus, the sensitivity matrix is calculated once with the load flow program and it is used in all the system working conditions. The problem of DGs reactive power control is formulated as an optimization problem which uses the sensitivity analysis for linearizing the system around its operating points. The objective of the optimization problem is to return the system voltages inside the permitted range by using the reactive power of DGs in an optimal way. The optimal solutions are obtained by implementing particle swarm optimization (pso) algorithm. Then, the results are verified by running a load flow considering new values of DGs reactive power. The procedure is repeated as long as a voltage violation is observed. Simulation results reveal that the proposed algorithm is capable of keeping the system voltages within the permitted limits. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Distributed generation units Voltage control Reactive power control Sensitivity analysis pso algorithm

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Enhancement of heat transfer of confined enclosures with free convection using blocks with pso algorithm

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APPLIED THERMAL ENGINEERING 2016年 101卷 79-91页

作者： Azimifar, A. Payan, S. Univ Sistan & Baluchestan Dept Mech Engn Zahedan 98135161 Iran

In this paper, optimal shape of cavity with change of hot walls geometry is obtained using pso algorithm. In this method near domain of hot wall is divided into similar blocks as those can either be solid or fluid. Free convection is dominant in the cavity. Continuity, momentum and energy equations are discretized by finite volume method. These equations are solved by SIMPLER algorithm. pso algorithm is used for obtaining diffusion parameters near the hot walls. Diffusion coefficients obtained from pso algorithm (non-dimensional parameters for diffusion terms in momentum and energy equations) are replaced in governing equations such a way that average Nusselt number from cold wall to be maximized. The results are obtained for range of Rayleigh numbers and different boundary conditions. Results show that psoA is able to obtain size and location of changes in hot walls. These changes can increase heat transfer from cold wall between 13% and 40% for different boundary conditions. If hot and cold walls are near together, millimeter changes are enough for acceptable percent value of increase of heat transfer, but for cases that hot wall is far from cold wall, we must attach medium or large blocks on hot wall or construct new cavities in accordance with optimized shape obtained from pso algorithm. As told, this method can be applied toconstructed cavities with attachment of rectangular fins. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Free convection Optimized shape pso algorithm

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Application of Improved pso algorithm in Hydraulic Pressing System Identification

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Journal of Iron and Steel Research International 2012年第9期19卷 29-35页

作者： YU Yu-zhen 1 , 2 , REN Xin-yi 2 , DU Feng-shan 2 , SHI Jun-jie 2 ( 1.Institute of Mechanical Engineering , Hebei United University , Tangshan 063009 , Hebei , China 2.Institute of Mechanical Engineering , Yanshan University , Qinhuangdao 066004 , Hebei , China ) [a] Institute of Mechanical Engineering Hebei United University Tangshan 063009 Hebei China [b] Institute of Mechanical Engineering Yanshan University Qinhuangdao 066004 Hebei China

In view of characteristics of particle swarm optimization ( pso ) algorithm of fast convergence but easily falling into local optimum value , a novel improved particle swarm optimization algorithm is put forward , and it is applicable to identify parameters of hydraulic pressure system model in strip rolling *** order to maintain population diversity and enhance global optimization capability , the algorithm is firstly improved by means of decreasing its inertia weight linearly from the maximum to the minimum and then combined with chaotic characteristics of ergodicity , randomness and sensitivity to initial *** the improved algorithm is used to identify parameters of hydraulic pressure system , the comparison of simulation curves and measured curves indicates that the identification results are reliable and close to actual situation.A new method was provided for hydraulic AGC system model identification.

关键词： hydraulic pressing system pso algorithm chaos self-adaptive parameter identification

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OPTIMIZATION OF THREE-PHASE PWM RECTIFIER ROBUST CONTROL SYSTEM BASED ON IMPROVED pso algorithm

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INTELLIGENT AUTOMATION AND SOFT COMPUTING 2011年第7期17卷 847-858页

作者： Tan, Guojun Zhang, Hui Qian, Miaowang Yu, Ruiwen China Univ Min & Technol Sch Informat & Elect Engn Xuzhou Peoples R China

This paper proposes a robust H-infinity control method for three-phase PWM rectifier. Based on the mathematical model of the PWM rectifier, the state equations which include outside interference are established for the standard setup I-I. control problem with suitable weighting functions. The robust H-infinity controller can be derived by solving the Riccati inequality. An improved pso algorithm is proposed in this paper by bringing the ideas of SA algorithm and chaotic search into the pso algorithm. And it is used to optimize the parameters of proposed controller. Simulation and experiment results verify that the designed robust H-infinity controller has a better external disturbance rejection capability compared with the conventional PI controller. And the improved pso algorithm has ability to determine the parameters effectively for the proposed controller.

关键词： robust H-infinity control PWM rectifier pso algorithm

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Optimal tuning of FOPID controller based on pso algorithm with reference model for a single conical tank system

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SN APPLIED SCIENCES 2019年第7期1卷 758页

作者： Rajesh, R. Sri Krishna Coll Technol Dept Instrumentat & Control Engn Coimbatore Tamil Nadu India

The fractional order proportional integral derivative controller (FOPID) replaces the conventional PID controller for its immense merits such as its simple structure, better set point tracking, high disturbance rejection, higher capability of handling model uncertainties in nonlinear and real time applications. This paper addresses the effectiveness of the FOPID controller on a level control of single conical system in real time. It is one of the classical nonlinear control problem and its shape not only contributes the proper mixing of liquids and also guarantee to drainage of solid wastes. This study, a dual loop controller is proposed and constructed with a master process and slave process for a level control of a single conical tank system. In the slave process, the output response obtained by the traditional PID controller combined with the conical tank reference model and compared with the output response of the master process. The obtained error signal is used to dynamically correct the parameters of the FOPID controller in the master process. The tuning of FOPID controller is a challenging task due to its presence of extra parameters and it efficiently carried out by particle swarm optimization (pso) algorithm. The obtained result reveals that the Proposed pso optimized FOPID controller with reference model demonstrated the better set point tracking, smooth controller response than other conventional integer order controllers.

关键词： FOPID controller Single conical tank system Reference model pso algorithm

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An Investigation of pso algorithm-Based Back Analysis on the Three-Dimensional Seepage Characteristics of an Earth Dam

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INDIAN GEOTECHNICAL JOURNAL 2019年第2期49卷 232-240页

作者： Chen, Shoukai Liu, Xinfei North China Univ Water Resources & Elect Power Sch Water Conservancy Zhengzhou 450011 Henan Peoples R China Henan Key Lab Water Environm Simulat & Treatment Zhengzhou 450045 Henan Peoples R China Henan Water Environm Management & Ecol Rehabil Ac Zhengzhou 450011 Henan Peoples R China Collaborat Innovat Ctr Water Resources Efficient Zhengzhou 450011 Henan Peoples R China

In view of the problem of seepage safety and the character of dangerous reservoir earth dam, the 3D seepage of FEM back analysis was studied. Based on a reservoir project, the rationality of prototype observation data in recent years is analyzed, and the effective monitoring point and its observation data are selected for back analysis. The simulation calculation model is built, and the permeability coefficient of key materials and seepage characteristics of calculation area of earth dam are obtained after using particle swarm optimization (pso) algorithm as the inversion algorithm and using FEM as the seepage field algorithm method of improved nodal virtual flux. The results shows that the pso, which has high efficiency with back analyzing the permeability coefficient of materials in the dam and satisfactory accuracy, can meet the requirements of engineering, and a large seepage gradient in overflow point and boundary of earth dam, which is unfavorable for dam seepage stability, is produced when the problem of contact erosion is also existed in connection part of earth dam section and masonry dam section.

关键词： Reservoir earth dam Seepage Back analysis pso algorithm Permeability coefficient

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Optimum design of tuned mass damper via pso algorithm for the passive control of forced oscillations in power transmission lines

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SN APPLIED SCIENCES 2020年第5期2卷 900页

作者： Abbasi, Mohammad Hossein Moradi, Hamed Sharif Univ Technol Ctr Excellence Design Robot & Automat Dept Mech Engn Tehran Iran

Transmission lines are prone to external excitations due to their low density and internal damping coefficient. They are vulnerable to some natural events such as wind and rain which may disrupt power transmission. Forced vibration due to external disturbances is one of the most frequent causes of failures in these lines. In this study, effects of tuned-massdampers (TMDs) on reduction of forced vibrations are investigated. A mathematical model for the transmission line is proposed by using mode summation technique combined with the dynamics of the absorbers. Best values for the location, stiffness and mass of the absorbers are found by using Particle Swarm Optimization algorithm (damping coefficients are obtained as zero). The objective of the algorithm is to minimize the line deflection to postpone the failure and the replacement of the lines. Results show that the designed TMDs are efficient in reduction of forced vibrations. Finally, the same procedure is implemented under resonance condition. The designed TMDs lead to a high reduction factor in the line deflection. Similarly, the proposed optimization algorithm can be used in other industrial applications of the flexible cables;under various external excitations.

关键词： Transmission lines Forced vibrations Linear and nonlinear models pso algorithm Tuned mass damper Optimum design

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A Random Factor Extension on the pso algorithm

A Random Factor Extension on the PSO algorithm

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International Conference on Identification, Information and Knowledge in the Internet of Things

作者： Zhang, Huibin Lin, Jie Wei, Yungang Duan, Lanjun Zhu, Xiaoming Xinzhou Normal Coll Dept Comp Sci & Technol Xinzhou Shanxi Peoples R China China Agr Univ Coll Informat & Elect Engn Beijing Peoples R China Beijing Normal Univ Beijing Coll Informat Sci & Technol Beijing Peoples R China

ISBN: (纸本)9781479980031

The particle of the pso algorithm is lack of particle diversity, and this makes itself fall into the local extremum, which leads to the premature. Based on a large number of experimental analysis, this paper indicated that the reason that lead to the lack of the pso algorithm's particle diversity is that pso algorithm's rapid convergence and the small probability of the particle speed divergence. According to this, this paper comes up with an algorithm that extend the random factor named Rpso algorithm from (0, 1) to (-1, 1), which makes the particle velocity has divergence probability and then increases the diversity of the particle speed and so that increase the ability to get rid of the local extremum. We made two emulation experiments about multiple extremum constrained optimization problems, experimental results show that, this algorithm is very possible to jump out of the extremum, and effective to avoid the premature convergence, the result after optimizing is obviously better than before it.

关键词： pso algorithm Multiple extremum constrained optimization problems Local extremum Diversity

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The Research of pso algorithm in Web Information Filtering

The Research of PSO Algorithm in Web Information Filtering

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4th International Conference on Computer Science and Education

作者： Cheng, Xiaorong Wang, Dong Xie, Kun N China Elect Power Univ Sch Comp Sci & Technol Baoding Peoples R China

ISBN: (纸本)9781424435197

With the development of information technology and the popularization of the Internet, the amount of information based on the network has raised rapidly, and the emergence and development of network information filtering provide a better choice for people to access to the information quickly, accurately and completely. In this paper, the introduction of pso uses its simple and efficient to establish accurate user model. It takes the access and update of profile as a process of learning, adjusted, learning again. Model is updated under considering inertia weight, parameters and other factors,. Then doing some experiments test it.

关键词： icnformation filtering pso algorithm inertia weight

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An Improved pso algorithm and Its Application to Grid Scheduling Problem

An Improved PSO Algorithm and Its Application to Grid Schedu...

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International Symposium on Computer Science and Computational Technology

作者： Bu Yan-ping Zhou Wei Yu Jin-shou E China Univ Sci & Technol Res Inst Automat Shanghai 200237 Peoples R China Shanghai Jiao Tong Univ Sch Technol Shanghai 200041 Peoples R China East China Univ Sci & Technol Sch Business Shanghai 200041 Peoples R China

ISBN: (纸本)9780769534985

With the advent of the grid, task scheduling in heterogeneous environments becomes more and more important. The model of grid scheduling is analyzed in this paper. The optimal objective is to minimize the total completing time. This paper presents an improved particle swarm optimization (pso) algorithm with discrete coding rule for grid scheduling problem. The improved pso algorithm can keep all the advantages of the standard pso, such as implementation simplicity, low computational burden, and few control parameters, etc. A set of experiments show that the algorithm is stable and presents low variability. The preliminary results obtained in this research are auspicious. We also tested the improved pso algorithm against the MaxMin heuristic and found that improved pso outperforms MaxMin by the total makespan and other performance.

关键词： pso algorithm grid task scheduling makespan

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