Wyniki 1-4 spośród 4 dla zapytania: authorDesc:"Mustapha BENGHANEM"

Development of fuzzy sliding mode control optimized by genetic algorithm for induction motor

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This paper describes the use of robust control systems using fuzzy sliding mode and genetic algorithm (FSMC-GA) to control the speed of a three phase induction motor (IM). First, sliding mode control (SMC) that incorporates a fuzzy tuning technique (FSMC) is used to overcome the high control gains and chattering of the classical SMC. However, the fuzzy control rules are always built by designers with trial and error. We propose an optimization technique of FSMC using genetic algorithm (GA). GA is used for determination of different controller parameters due to their fast convergence and their reasonable accuracy. The effectiveness of the complete proposed control scheme is verified by numerical simulation. The results of simulation showed that (FSMC-GA) presents better performances compared to the (FSMC). Streszczenie. W artykule przedstawiono system sterowania trójfazowym silnikiem indukcyjnym przy wykorzystaniu logiki rozmytej i algorytmów genetycznych. Logika rozmyta pozwala przezwyciężyć problemy wynikające z dużego wzmocnienia a algorytmy genetyczne pozwalają na optymalizację parametrów sterownika. Skuteczność proponowanego systemu została sprawdzona przez numeryczna symulację. (System sterowania trójfazowym silnikiem indukcyjnym przy wykorzystaniu logiki rozmytej i algorytmów genetycznych). Keywords: Induction motor - Vector control - Fuzzy control - Sliding mode control - Genetic algorithm. Słowa kluczowe: silnik indukcyjny, logika rozmyta, algorytmy genetyczne. Introduction With the field orientation control (FOC) method, induction machine drives are becoming a major candidate in high performance motion control applications, With this control strategy, the decoupled control of IM is guaranteed, and can be controlled and provide the same performance as achieved from separately excited DC machine. However, conventional proportional integral derivative (PID) control has difficulty in dealing with dynamic speed tracking, parameter [...]

Robust SMC for SV-PWM based indirect power control of DFIG

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The wind farms are today required to participate actively in grid operation by an appropriate generation control. This paper presents a control strategy for doubly fed induction generator based variable speed wind energy conversion system (DFIG-based WECS). The study focuses on the regulation of the DFIG active and reactive powers using the so-called sliding mode control (SMC). The robustness and reliability of implemented controllers are tested with large grid disturbances due to voltage sags. Streszczenie. Farmy wiatrowe są obecnie zobowiązane do aktywnego udziału w pracy sieci za pomocą odpowiedniego sterowania generacją energii. Niniejszy artykuł przedstawia strategię kontroli podwójnie zasilanych generatorów indukcyjnych o zmiennej prędkości z systemem konwersji (DFIG oparte na WECS). Badanie skupia się na regulacji DFIG czynnej i biernej mocy przy użyciu tzw Sterowania ślizgowego (SMC). Odporność i niezawodność kontrolerów jest testowana na przykładzie dużych zakłóceń sieci spowodowanych zapadami napięcia.(Odporna technika sterowania ślizgowego zastosowana do kontroli mocy zasilanego za pomocą SV-PWM generatora wiatrowego DFIG) Keywords: Doubly Fed Induction Generator, Sliding Mode Control, Variable Speed Wind Energy System. Słowa kluczowe: Generator indukcyjny podwójnie zasilany, Sterowanie ślizgowe, System generacji wiatrowej o zmiennej prędkości Introduction Nowadays, the most widely used wind turbine in wind farms is based on doubly fed induction generator (DFIG) due to noticeable advantages: the variable speed generation, the decoupled control of active and reactive powers, the reduction of mechanical stresses and acoustic noise, and the improvement of the power quality [1]. Different DFIG vector control schemes have been proposed in literature developed. In [2] and [3] authors have developed stator flux control of the DFIG using conventional PI regulators, while in [4] and [5] direct power control of the DFIG is outlined. [...]

Power flow control and management of a Hybrid Power System DOI:10.15199/48.2019.01.46

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Renewable energy application like the solar cell, wind turbine..., has expanded in the last decade especially in isolated areas like Sahara in Algeria where there is a great solar resource and a modest wind potential. The prime renewable sources disadvantages are uncontrollable and unpredictable in nature. Thus it is difficult to generate require quantity of power to fulfill load demand and also the generated power contain frequency/voltage variations. Hybrids renewable energy system utilizes two or more energy sources [1-4], usually solar along with wind sources because its abundance in nature and both can complement each other [5]. The subsystems are connected into a DC bus to ensure adaptability of the energy; this method doesn’t require synchronization [6-15]. However, adding battery banks is necessary to satisfy a peak or temporary period load demands. Battery based energy storage system is widely used in standalone system because of its mature technology, high efficiency, quick response, low cost and improve the power-supply stability, quality and reliability [5, 12, 13, 15]. Both the energy systems are used to charge a battery using bi-directional converter. In this article, modelling, controls of hybrid system are developed. The main control methods proposed are to track the maximum power from the wind/solar energy source to achieve much higher generating capacity factors then to manage the power flow from these sources. A simple LC filter is applied to eliminate the undesirable high frequency harmonics. The proposed standalone PV-wind-battery hybrid system model in this paper has been modeled, designed, and simulated using Matlab, results are presented to verify it performance under various weather circumstances. The general configuration of the system This configuration is fit for stand-alone hybrid power system. Wind and solar energy are converted into electricity and then sent to loads or stored in batte[...]

The economic feasibility analysis of generated photovoltaic energy in the USTO campus DOI:10.15199/48.2019.05.35

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The development and use of clean renewable energy in many parts of the world in the last two decades have become vital due to the continuous decline and price fluctuation of fossil fuel resources and global concerns about climate change, air pollution and increased consumption of energy [1,2]. Advances in power electronics have also contributed more effectively and more reliably to the integration of renewable resources into power grids [3]. The cost reduction of photovoltaic (PV) technology and related components, such as inverters and batteries, and the sharp decline in the cost of large wind turbines have made these energy sources more attractive in many countries. The large-scale development of renewable energy systems and their integration to utility grid are considered as the most important challenges for the sustainable environment. The electric energy industry restructuring and the introduction of the concept of a smart grid have also led to new technologies (distributed energy resources and decentralized generation) become more and more widely adopted [3]. Since the industrial and residential sectors are among the largest consumers of electrical energy, decentralized electricity generation has now become a potential solution for satisfying the energy needs locally. In comparison to large-scale wind energy, the cost of deploying a PV system is much higher, and therefore implying that a larger financial subsidy is needed to increase the PV installation capacity by customers [4,5,6]. Microgrids are small size electrical networks built to provide a reliable electric supply and with a better quality for a small number of consumers. They consists of local power stations (micro turbines, fuel cell, small diesel generators, photovoltaic panels, etc), loads, storage batteries and a power management strategy for the supervision and dispatching power flow. They can operate either in gridconnected mode or in isolated mode. T[...]

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