Electric Power Components and Systems (ELECTR POW COMPO SYS )

Publisher: Taylor & Francis

Description

This well-established journal publishes original theoretical and applied papers of permanent reference value related to the broad field of electromechanics, electric machines, and power systems. Specific topics covered include: rotating electric machines - new methods of analysis, computation, and design; advances in materials used in electric machines (e.g. permanent magnets and superconductors); solid-state control of electric machines; linear motors; new types of electric machines; electromagnetic fields in energy converters; control aspects of electrical machines; power system planning; reliability and security; transmission and distribution; dispatching and scheduling; high voltage of dc systems; power system protection; power system stability; and related topics.

Impact factor 0.66

  • Hide impact factor history
     
    Impact factor
  • 5-year impact
    0.68
  • Cited half-life
    4.70
  • Immediacy index
    0.11
  • Eigenfactor
    0.00
  • Article influence
    0.15
  • Website
    Electric Power Components and Systems website
  • Other titles
    Electric power components and systems (Online), Electric power components and systems
  • ISSN
    1532-5008
  • OCLC
    45360458
  • Material type
    Document, Periodical, Internet resource
  • Document type
    Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Taylor & Francis

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Some individual journals may have policies prohibiting pre-print archiving
    • On author's personal website or departmental website immediately
    • On institutional repository or subject-based repository after either 12 months embargo for STM, Behavioural Science and Public Health Journals or 18 months embargo for SSH journals
    • Publisher's version/PDF cannot be used
    • On a non-profit server
    • Published source must be acknowledged
    • Must link to publisher version
    • Set statements to accompany deposits (see policy)
    • The publisher will deposit in on behalf of authors to a designated institutional repository including PubMed Central, where a deposit agreement exists with the repository
    • STM: Science, Technology and Medicine
    • SSH: Social Science and Humanities
    • Publisher last contacted on 25/03/2014
    • 'Taylor & Francis (Psychology Press)' is an imprint of 'Taylor & Francis'
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: The proportional-integral-derivative controllers were the most popular controllers of this century because of their remarkable effectiveness, and simplicity of implementation. However, proportional-integral-derivative controllers are usually poorly tuned in practice. This article presents a hybrid particle swarm optimization and bacterial foraging techniques for determining the optimal parameters of a proportional-integral-derivative controller for speed control of a permanent magnet brushless DC motor. The first part of the article deals with the system modeling and its verification where a model of modest accuracy cannot be expected to give a fair comparison of different controllers. The remaining parts of the article present the application of different optimization techniques to tune the proportional-integral-derivative controller as applied to the motor model. The particle swarm optimization, bacterial foraging, and bacterial foraging-particle swarm optimization algorithms are implemented in MATLAB while the GA Toolbox is used. The performance of the tuned controllers is simulated and experimentally verified to evaluate the main characteristics of each one. It is found that the proposed hybrid bacterial foraging-particle swarm optimization technique is more efficient in improving the step response characteristics and achieving the desired performance indices.
    Electric Power Components and Systems 02/2015; 43(3):309-319.
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    ABSTRACT: This article presents a novel binary collective animal behavior algorithm to solve the problem of optimal allotment of distributed generation sets and shunt capacitors in radial distribution systems. Simultaneous sizing and placement of distributed generation units and shunt capacitors in distribution systems is a very complex optimization task, because it is a problem of combinatorial analysis with mixed-integer and binary variables and hard restrictions. With the objective of optimal allotment of shunt capacitor banks and distributed generations, a binary collective animal behavior algorithm optimizes the total line loss, or the total voltage deviation separately in a distribution system, by optimally and simultaneously allocating capacitor banks and distributed generations of optimal ratings, considering the topology of a radial distribution network. The binary collective animal behavior algorithm is applied on various balanced IEEE radial distribution networks. The results are compared to those of a conventional binary particle swarm optimization algorithm to establish the optimization superiority of binary collective animal behavior algorithm.
    Electric Power Components and Systems 01/2015; 43(2).
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    ABSTRACT: This article presents automatic generation control (AGC) of a two-area interconnected power system with diverse energy sources using the bacteria foraging optimization technique. The control areas of interconnected power systems consist of hydro, thermal, and gas power plants. In this study, the proportional-integral-derivative (PID) structures of AGC regulators are designed for various case studies identified herein. An artificial intelligent optimization algorithm using the modeling behavior of E. Coli bacteria present in human intestines, is applied to tune the gains of PID structured AGC regulators. The closed-loop system dynamic response plots are obtained with designed AGC regulators for various power system models. The effectiveness of the proposed AGC regulators is demonstrated in the wake of a 1% step load disturbance in one of the control areas. It has been shown that the system dynamic responses subject to a step load disturbance are superior over other power plant combinations in a control area with only thermal and gas power plants participating in the AGC schemes, and it is sluggish/poor when only hydro power plants participated in the AGC scheme as one of the diverse sources in the power system.
    Electric Power Components and Systems 01/2015; 43(2).
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    ABSTRACT: Abstract—This article develops a model of load frequency control for an interconnected two-area thermal–hydro power system under a deregulated environment. In this article, a fuzzy logic controller is optimized by a genetic algorithm in two steps. The first step of fuzzy logic controller optimization is for variable range optimization, and the second step is for the optimization of scaling and gain parameters. Further, the genetic algorithm-optimized fuzzy logic controller is compared against a conventional proportional-integral-derivative controller and a simple fuzzy logic controller. The proposed genetic algorithm-optimized fuzzy logic controller shows better dynamic response following a step-load change with combination of poolco and bilateral contracts in a deregulated environment. In this article, the effect of the governor dead band is also considered. In addition, performance of genetic algorithm-optimized fuzzy logic controller also has been examined for various step-load changes in different distribution unit demands and compared with the proportional-integral-derivative controller and simple fuzzy logic controller.
    Electric Power Components and Systems 01/2015; 43(2).
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    ABSTRACT: There are two popular practical models of synchronous generators used in power system simulation, both based on Park equations, defined as assumed A and assumed B respectively, according to the different assumptions. To study the influence of the different models on the first swing stability calculation precision, the physical essence of the two assumptions are revealed in theory, and it is obtained that assumed A takes account of the mutual leakage flux linkage between field and damping windings and neglects the self-leakage flux linkage of damping winding, the opposite of assumed B. Taking a 300-MW turbine generator as an example, first swing stability limits calculated by two practical models are compared; simulation results are verified by the time-step finite-element model. The influence of line reactance and excitation system on first swing stability limits is studied. Results show that the first swing stability limit calculated by the practical model with assumed A is closer to the result of the time-step finite-element model, since assumed A takes account of the larger mutual leakage flux linkage. Therefore, the practical model with assumed A is more accurate. The result provides reasonable reference to select synchronous generator models in power system simulation.
    Electric Power Components and Systems 01/2015; 43(2).
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    ABSTRACT: This article presents a novel algorithm for optimal planning of a dispatchable distributed generator connected to the distribution networks. The proposed algorithm modifies the traditional firefly method to be able to deal with the practically constrained optimization problems by proposing formulas for tuning the algorithm parameters and updating equations. The proposed algorithm rigidly determines the optimal location and size of the distributed generation units in order to minimize the system power loss without violating the system practical constraints. Moreover, the optimal distributed generator location and minimum size for achieving a certain specified power loss are determined using the proposed method and compared to the results of a proposed heuristic technique. The distributed generation units in the proposed algorithms are modeled as voltage controlled nodes with the flexibility to be converted to constant power nodes in the case of reactive power limit violation. The proposed algorithms are implemented in MATLAB and tested on the IEEE 33-bus and the IEEE 37-nodes feeder. The results that are via comparison with published results obtained from other competing methods show the effectiveness, accuracy, and speed of the proposed method.
    Electric Power Components and Systems 01/2015; 43(3):320-333.
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    ABSTRACT: Abstract—This article presents an efficient multi-objective optimization approach based on the supervised big bang–big crunch method for optimal planning of dispatchable distributed generator. The proposed approach aims to enhance the system performance indices by optimal sizing and placement of distributed generators connected to balanced/unbalanced distribution networks. The distributed generation units in the proposed algorithms are modeled as a voltage-controlled node with the flexibility to be converted to a constant power node in the case of reactive power limit violation. The proposed algorithm is implemented in the MATLAB (The MathWorks, Natick, Massachusetts, USA) environment, and the simulation studies are performed on IEEE 69-bus and IEEE 123-node distribution test systems. Validation of the proposed method is done by comparing the results with published results obtained from other competing methods, and the consequent discussions prove the effectiveness of the proposed approach.
    Electric Power Components and Systems 01/2015; 43(1).
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    ABSTRACT: Abstract—This article presents a novel optimal design for a permanent magnet excitation transverse flux linear motor with an inner mover using bacterial foraging optimization. The target is maximizing the motor thrust force, which is the most important quantity in linear electric drives. The stator pole length, air-gap length, winding window width, and stator pole width define the search space for the optimization problem. The response surface methodology is used to build the mathematical model of the motor thrust force in terms of the design variables. It can create an objective function easily, and great computational time is saved. Finite-element computations are used for numerical experiments on the geometrical design variables to determine the coefficients of a second-order analytical model for the response surface methodology. The bacterial foraging optimization technique is used as a searching tool under the constraints of design variables for design optimization of the transverse flux linear motor to improve the motor thrust force. The effectiveness of the proposed bacterial foraging optimization model is then compared with that of both genetic algorithm and particle swarm optimization models. With this proposed bacterial foraging optimization technique, the thrust force of the initially designed transverse flux linear motor can be increased.
    Electric Power Components and Systems 01/2015; 43(1).
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    ABSTRACT: Abstract—This article shows a method to optimize the reliability of an electric power system by the introduction of distributed generation. The reliability index of the system is determined as the failure probability of the system. A hybrid method that uses a binary shuffled frog-leaping algorithm and probabilistic load flow is proposed to search a large number of combinations for location and size of biomass power plants and photovoltaic units. The combination with the best performance minimizes the reliability index (probability of failure) of the system.
    Electric Power Components and Systems 01/2015; 43(1).
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    ABSTRACT: Abstract—This article presents a fault-classification method for transmission lines based on voltage phasors using classification and regression trees. The proposed method is intended to aid system operators in understanding the outputs of a phasor measurement unit only state estimator. Faults are classified into four categories when the estimator is positive sequence and into ten categories when the estimator is three phase. The fault data are generated in PowerWorld® (PowerWorld Corporation, Champaign, IL, USA) and DSA Tools® (Powertech Labs Inc., Surrey, British Columbia, Canada). The pre-fault state consists of a variety of operating conditions and loading angles of faulted lines. The fault condition comprises different fault types, fault locations, fault impedances, and fault incidence angles. Fault classification is done using MATLAB® (The MathWorks, Natick, Massachusetts, USA).The approach is successfully tested on the IEEE-118 bus system. The results demonstrate that the technique developed here is effective and robust, irrespective of the pre-fault and fault conditions.
    Electric Power Components and Systems 01/2015; 43(1).
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    ABSTRACT: The net harmonic currents generated by a cluster of desktop personal computers are studied statistically. Personal computers (PCs) are single-phase non-linear loads with low individual consumption but significant collective distortion effects, as many of them can be connected to the same bus (personal computer cluster). This article reports experimental measurements of harmonic currents injected by single-phase rectifiers and seven personal computer types during four operating modes. The probability density functions (pdfs) of the harmonic currents (magnitude and phase angle) are investigated from the measurements. An analytical procedure to obtain these probability density functions for any typical personal computer working session is described and experimentally validated. The obtained probability density functions are found to be applicable to large-scale harmonic penetration statistical studies. Furthermore, attenuation and diversity effects are analyzed from the previous probability density functions, and the harmonic current cancellation effect on personal computer clusters is investigated with Monte Carlo simulations.
    Electric Power Components and Systems 01/2015; 43(1).
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    ABSTRACT: The bridge-type fault current limiter has the capability of controlling the fault current by controlling the DC reactor current. This fault current limiter is mainly composed of a diode bridge rectifier and a DC reactor. To achieve this capability, a resistor parallel with a semiconductor switch has been used in series with a DC reactor. For this fault current limiter, a control scheme is proposed that uses the DC reactor current as a control variable to improve transient stability of the model power system without measuring any parameters of system. In this article, an analytical and simulation study was conducted on a one-machine infinite-bus system including a bridge-type fault current limiter and the proposed control scheme. Simulation results show that by controlling the turn-on and turn-off times of the switch, i.e., the switching technique, the proposed fault current limiter can not only limit the fault current but also absorb the accelerating energy of the generator, thereby improving power system transient stability. The rotor velocity, maximum output power of the generator, and critical fault clearing time are studied in this article to evaluate the effects of the proposed fault current limiter on power system transient stability.
    Electric Power Components and Systems 01/2015; 43(2):234-244.
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    ABSTRACT: Abstract—This article presents a sinusoidal pulse-width modulated three-phase multi-level inverter topology. In this configuration, the basic two-level, three-phase inverter is modified to synthesize higher voltage levels by the insertion of two auxiliary switches per phase leg. The multi-level inverter configuration generates output voltage levels similar to the corresponding well-known conventional diode-clamped flying capacitors and cascaded H-bridge inverters but with fewer power circuit components and more simplicity. For output voltage and frequency variations demanded by such applications as variable-speed drives, active power filters, photovoltaic power conversions, etc., the sinusoidal pulse-width modulation technique is employed in the generation of the gating signals for the proposed three-phase multi-level inverter. A balanced three-phase R-L load is applied at the inverter output terminals, and the inverter performance is compared with that of other sinusoidal pulse-width modulated conventional multi-level inverter configurations. The validity of the proposed multi-level inverter topology and the modulation scheme are verified through simulations and experiments.
    Electric Power Components and Systems 01/2015; 43(1).
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    ABSTRACT: A passive islanding-detection technique is proposed in this article for a distribution network with a distributed generation system including a doubly fed induction generator. This method is based on the processing of the measured voltage signals of the distributed generation connecting bus using discrete wavelet transform. Different types of disturbances including faults (single-phase, twophase, and three-phase) and power quality disturbances (capacitor switching, load switching, and motor starting) are used to discriminate from islanding conditions. A wind turbine equipped with a doubly fed induction generator is considered as the distributed generation source in an unbalanced distribution system. The studied system is simulated with high level of detail in PSCAD/EMTDC software for the purpose of this work. The results of implementing the proposed method verify the high accuracy, reliability, and speed of the proposed islanding-detection approach even with small non-detection zone and the presence of high levels of noise in measured voltage signals.
    Electric Power Components and Systems 01/2015; 43(3).
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    ABSTRACT: In this article, an analytical and delay-less model for the unified power quality conditioner is proposed to improve electrical power quality in power systems. The designed model includes a shunt active filter, series active filter, and common DC link, which is capable of improving power quality parameters in different conditions. The proposed control is based on a combination of the rotating reference frame theory and least mean square method that (1) can enhance power quality, including reduction of the voltage and current harmonics, voltage flicker, and reactive power of system, and (2) has no delay in the reference current generation. The DC link is also designed in a manner that capacitor voltage has a stabilized voltage in all instants. In addition, fundamental frequency estimation is employed to control frequency changes in the control system. For testing the proposed method in the worst conditions, the electric arc furnace load based on an actual stochastic arc that can generate almost all electrical power quality parameters is taken into account for the power system. The validity of proposed method is analyzed by comparing different existing control methods of the unified power quality conditioner. The simulation results show the accuracy of the control system.
    Electric Power Components and Systems 12/2014; 42(16).
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    ABSTRACT: The diagnosis of incipient fault is important for power transformer condition monitoring. Incipient faults are monitored by conventional and artificial intelligence based models. Key gases, percentage value of gases, and ratio of the Doernenburg, Roger, IEC methods are input variables to artificial intelligence models, which affects the accuracy of incipient fault diagnosis, so selection of the most influencing relevant input variable is an important research area. With this main objective, Waikato Environment for Knowledge Analysis software is applied to 360 simulated samples having different operating lives to find the most influencing input parameters for incipient fault diagnosis in the gene expression programming model. The Waikato Environment for Knowledge Analysis identifies%C2H2,%C2H4,%CH4, C2H6/C2H2, C2H2/C2H4, CH4/H2, C2H4/C2H6, and C2H2/CH4 as the most relevant input variables in incipient fault diagnosis, and it is used for fault diagnosis using different artificial intelligence methods, i.e., artificial neural networks, fuzzy logic, support vector machines, and gene expression programming. The compared results shows that gene expression programming gives better results than the artificial neural network, fuzzy logic, and support vector machine with accuracy variation from 98.15 to 100%, proving the gene expression programming method can be used in transformer fault diagnosis research.
    Electric Power Components and Systems 12/2014; 42(16).
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    ABSTRACT: This article introduces a new step-up transformerless multi-level DC-AC hybrid topology for interconnecting renewable DC sources to loads or microgrids. This enabling technology incorporates the best characteristics of three modified basic topologies—a DC-DC multi-level boost converter, a DC-DC multi-level buck converter, and an H-bridge—to obtain a seven-level step-up DC-AC hybrid structure using only one DC input and nine power switches for a single-phase output with field-programmable gate array based control. The advantages of the step-up seven-level structure compared to other proposals are higher efficiency, a reduced number of power switches, and high power density associated with transformerless characteristic. Furthermore, in contrast to conventional topologies, the proposed design does not require voltage/current monitoring of the capacitors or a capacitor-balancing control scheme, and only one DC source input is used. Consequently, a high-performance configuration is obtained. The laboratory results demonstrate the validity of the design and the performance of the prototype.
    Electric Power Components and Systems 12/2014; 42(16).
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    ABSTRACT: Non-linear loads, such as switched mode power supply, adjustable-speed drives, arc furnaces, etc., result in deterioration of power quality in terms of current harmonics and reactive power demand. Shunt active power filters are widely used to compensate the current harmonics, thereby improving power quality. Digital signal processors and microcontroller units used in digital control of shunt active power filters are constrained by a complex algorithm structure, adaptability, accuracy, the absence of feedback loop delays, and larger execution time. Shunt active power filters require a faster computation update rate to maintain the closed-loop bandwidth, accurate sensing of voltage and current, proper estimation of parameters, and a high frequency pulse-width modulation. In this article, a low-cost single all-on-chip field-programmable gate array implements the digital control of a three-phase shunt active power filter. This proposed implementation scheme has much less execution time and boosts the overall performance of the system. All required tasks of a typical shunt active power filter are implemented with a low-cost single all-on chip field-programmable gate array module that provides freedom to reconfigure for any other applications. Additional features, such as anti-windup, over-sampling, and time multiplexing, are also added to improve the overall performance. The proposed system is designed to meet IEEE 519 and IEC EN 61000-3 recommendations in terms of harmonic elimination and unity power factor requirements. The entire algorithm is coded, processed, and simulated using Xilinx 12.1 ISE Suite to estimate the advantages of the proposed system. This code is also defused on the low-cost single all-on-chip Xilinx Spartan 3A DSP-XC3SD1800 laboratory prototype, and experimental results obtained match with simulated counterparts. The proposed control scheme for the shunt active power filter results in reduces current harmonics under dynamic and steady-state operating conditions.
    Electric Power Components and Systems 12/2014; 42(16).
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    ABSTRACT: Due to its excellent insulating and arc-suppression properties, sulfur hexafluoride (SF6) is widely used in gas-insulated switchgear. In the presence of partial discharge, SF6 decomposes into various by-products according to discharge scenarios. These by-products are often used to detect and identify partial discharge. In this article, formation characteristics of SF6 decomposition under partial discharge induced by metal protrusions with varying degrees of severity are investigated. The varying degrees of severity of partial discharge were assessed by partial discharge applied voltage and partial discharge inception voltage. Partial discharge applied voltage and partial discharge inception voltage are related to magnitude of partial discharge and varying degrees of the non-uniform electric field distribution distortion, respectively. The results show that the production rates of SO2F2 and SOF2+SO2 decrease with increasing partial discharge inception voltage, while increasing proportionally to partial discharge applied voltage. The ratio of SO2F2 to (SOF2+SO2) exhibits a similar trend. As partial discharge applied voltage increases, the production rates of CO2 and CF4 increase, but the ratio of CO2 to CF4 decreases. Based on the experiments, the formation mechanisms of SF6 decomposition by-products under varying degrees of severity of partial discharge are analyzed.
    Electric Power Components and Systems 12/2014; 42(16).