Reactive power and voltage control based on general quantum genetic algorithms

Vlachogiannis, John G.; Østergaard, Jacob

doi:10.1016/j.eswa.2008.07.070

Cited by 48 publications

(14 citation statements)

References 21 publications

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“…In a normal power system network with no DG connections at their feeders, feeder capacitors can compensate for the reactive power consumption and then boost the voltage level when it drops under imposed limits 0.03p.u. The OLTCs change their taps to restore the voltage level to the proper limits, (Vlachogiannis and stergaard, 2009) [27], based on voltage drop estimation from local measurements. When power injected to the network by DGs is greater than the power needed in the connection bus loads, this power goes to the substation, interfering with the configuration of control elements, and provokes excessive critical operations, which degrades the life expectancy and increases maintenance costs [28].…”

Section: Methodsmentioning

confidence: 99%

Novel Optimal Coordinated Voltage Control for Distribution Networks Using Differential Evolution Technique

Ánh

Kien

2018

JCC

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Abstract. This paper investigates a Distributed Generators (DG) connected to distribution networks offering multiple benefits for grids and environments in the case of renewable sources used. Nevertheless, this task requires an appropriate planning and control strategy, if not several drawbacks can issue, including voltage rise problems and increased power losses. To overcome such disadvantages, this paper proposes a coordinated voltage control CVC method for distribution networks with multiple distributed generators. This new method is based on a differential evolution DE approach to obtain the optimal setting points for each control component. Furthermore this proposed method considers both of time-varying load demand and production, leading to not only an improvement in the voltage profile but also to optimally minimizing the active power loss.

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Section: Methodsmentioning

confidence: 99%

Novel Optimal Coordinated Voltage Control for Distribution Networks Using Differential Evolution Technique

Ánh

Kien

2018

JCC

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Section: Technical Requirements Gearmentioning

confidence: 99%

“…4) Gear backlash between the tooth surface should be a non-working clearance for storage lubricants, heat distortion compensation, processing and installation of the impact of error. Otherwise, the gear may be stuck or burned in the transmission process [2].Precision gear divided 12 levels, order of 1，2, 3 ... 12. Which one, two for the vision level, seven is basic level, in actual use (or design) and precision grade of general application adopted hobbing, gear shaping, shaving three cutting process can achieve accuracy levels.…”

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confidence: 99%

The Analysis and Research of Gear Surface Machining

Zhang¹

2015

Advances in Intelligent Systems Research

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Abstract. Through the analysis of the surface of the gear machining program, describes the characteristics and applications of various processing methods, the view of the article describes have a guiding role in the design and processing gears. Technical requirements gearSurface of parts have a certain shape and size, also a certain accuracy and surface quality. Gears are widely used in a variety mechanical transmission, for transmission of power and movement, and having to change speed and steering role. Widely used in machinery, equipment, instruments and working performance, carrying capacity, life and work of precision are closely related with the quality of the gear itself [1].In addition to the dimensional accuracy of the gear, the shape precision and surface quality requirements, there are some special requirements.1) The angular error motion precision gears of a circle must not exceed a certain limit, it is important to ensure that transmit motion ratio indicators. Therefore, the required gear teeth evenly divided, in order to avoid leaving due to the uneven distribution of teeth cyclical fluctuations in speed appears.2) Accuracy means the stationary work in a smaller rotation angle error of the angle of the pair of gears, i.e. the instantaneous change of the size ratio. Mainly caused by the manufacturing error of the tooth profile, on the teeth leads to a change in the angle may appear several times when engaged, thereby generating vibration and noise.3) The accuracy of the contact means meshing tooth surface exposure. The larger the contact area, the load borne per unit area is smaller, the more uniform force. In addition, the contact position tooth surfaces should be correct, otherwise it will affect the carrying capacity of the gear. 4) Gear backlash between the tooth surface should be a non-working clearance for storage lubricants, heat distortion compensation, processing and installation of the impact of error. Otherwise, the gear may be stuck or burned in the transmission process [2].Precision gear divided 12 levels, order of 1，2, 3 ... 12. Which one, two for the vision level, seven is basic level, in actual use (or design) and precision grade of general application adopted hobbing, gear shaping, shaving three cutting process can achieve accuracy levels. Table 1 lists the most commonly used method for final processing and application range of 4 to 9 precision gears.Gear blank machining is generally by the production batch size, the choice of different ways. In the unit, small batch production, processing by turning way, the large number of mass production, for small and medium size gear blanks, the selection of drilling broaching multi-tool turning mode processing.The method of tooth processing, according to the principles of the formation of the tooth can be divided into two categories, the forming method and generating method. If the blade is cutting tooth shape with the same shape, tooth bladed straight cut, known forming methods such as gear milling, grinding teeth. According to the principle ...

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“…Many researches have found that these algorithms have excellent performance such as population diversity, rapid convergence and global search capability. Effective applications have been found in many domains such as shop scheduling [7,10], signal analysis [8], reactive power and voltage control [9], etc.…”

Section: Introductionmentioning

confidence: 99%

Function Optimization Based on Quantum Genetic Algorithm

Sun¹,

Xiong²

2014

RJASET

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Quantum genetic algorithm has the characteristics of good population diversity, rapid convergence and good global search capability and so on.It combines quantum algorithm with genetic algorithm. A novel quantum genetic algorithm is proposed ,which is called variable-boundary-coded quantum genetic algorithm (vbQGA) in which qubit chromosomes are collapsed into variableboundary-coded chromosomes instead of binary-coded chromosomes. Therefore much shorter chromosome strings can be gained.The method of encoding and decoding of chromosome is first described before a new adaptive selection scheme for angle parameters used for rotation gate is put forward based on the core ideas and principles of quantum computation. Eight typical functions are selected to optimize to evaluate the effectiveness and performance of vbQGA against standard genetic algorithm (sGA) and genetic quantum algorithm (GQA). The simulation results show that vbQGA is significantly superior to sGA in all aspects and outperforms GQA in robustness and solving velocity, especially for multidimensional and complicated functions.

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Reactive power and voltage control based on general quantum genetic algorithms

Cited by 48 publications

References 21 publications

Novel Optimal Coordinated Voltage Control for Distribution Networks Using Differential Evolution Technique

Novel Optimal Coordinated Voltage Control for Distribution Networks Using Differential Evolution Technique

The Analysis and Research of Gear Surface Machining

Function Optimization Based on Quantum Genetic Algorithm

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