**Type-1 and Type-2 Fuzzy Logic Controller Based Multilevel DSTATCOM**

Using SVM^{*}

Using SVM

^{*}

**Foudil BENZERAFA, Abelhalim TLEMÇANI, Karim SEBAA **

Laboratoire de Recherche en Electrotechnique et en Automatique,

University of Médéa, Médéa, Algeria

benz.foudil@gmail.com, h_tlemcani@yahoo.fr, karim.sebaa@gmail.com

**Abstract: **DSTATCOM (Distribution Static Compensator) is a shunt device. It is used to solve power quality problems in distribution systems. DSTATCOM is a shunt device used in correcting power factor, maintaining constant distribution voltage and mitigating harmonics in a distribution network*.* This paper presents a comparison of the performances of Type-1 and Type-2 Fuzzy logic controlled multilevel DSTATCOM for improvement of electric power, and corrects the power factor. The pulses for the five-level inverter are generated by Space Vector Modulation (SVM). The performance of Type-1 and Type-2 fuzzy logic controllers under load variation is evaluate using simulation results in MATLAB/Simulink.

**Keywords:** DSTATCOM; Fuzzy logic controller; Space Vector Modulation (SVM).

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**CITE THIS PAPER AS**:

Foudil BENZERAFA, Abelhalim TLEMÇANI, Karim SEBAA, **Type-1 and Type-2 ****Fuzzy Logic Controller Based Multilevel DSTATCOM Using SVM**, *Studies in Informatics and Control*, ISSN 1220-1766, vol. 25(1), pp. 87-98, 2016. https://doi.org/10.24846/v25i1y201610

Today, due to the rise in large variety of loads which pollute the power system and the use of power semiconductor components that increase power quality problems the maintenance and improvement of power quality in a power system is extremely important [1]. We can reduce the network losses and improve the quality of power by the compensation of reactive power in distribution network [2]. The control of reactive power using DSTATCOM can solve many power quality problems faced by distribution systems [3]. DSTATCOM is a custom power device connected in shunt with the distribution networks. It is used for reactive power compensation, voltage regulation, load balancing and power factor correction in distribution network [4].

Recently, multilevel inverters are used to realize the DSTATCOM [5]. There exist several types of multilevel inverters: cascaded H-bridge, diode clamped, flying capacitors [6]. The advantages of multilevel inverters are: less harmonic content, induces good power quality, lower switching losses, lower voltage distortion and eliminate the use of transformers [7-9].

To improve the performance of DSTATCOM and depending on the controlled power system parameter, various control strategies have been proposed for DSTATCOM control, such as: direct/indirect current control algorithm, instantaneous reactive power control, symmetrical component method, and double loop control strategy. These control strategies use different types of controllers, such as: PI, fuzzy, neural and hybrid controllers [10-12]. In recent years, investigation of fuzzy theory application in power system control grows rapidly [13-16]. The fuzzy logic controllers have many advantages compared with conventional controllers such as: no need to accurate mathematical model, irregularities in system parameters and it is easy to be implemented.

Recently, a large volume of literature have been used Fuzzy Logic Controllers (FLC) in the control of D-STATCOM. In [17], Srinivas proposed fuzzy, PI and hybrid fuzzy-PI controllers for STATCOM, to utilize the advantages of both fuzzy and PI controllers. The control algorithm was based on the double-loop control strategy; the desired (reference) reactive current produced by fuzzy controller, while the DC link voltage was controlled by PI controller. In [18], investigated and implemented the Fuzzy-PI control of DSTATCOM based on the double-loop control strategy. A fuzzy adjuster was added to tune the parameters of the PI controllers. In [19], a fuzzy logic based supervisory method is proposed to improve transient performance of the dc link. The fuzzy logic based supervisor varies the proportional and integral gains of the PI controller during the transient period immediately after a load change. In [20], a fuzzy logic STATCOM controller design with generator speed deviation and acceleration as the input. The fuzzy controller was evaluated by comparing its performance with the classical PI control. All fuzzy logic systems presented in literature for the control of D-STATCOM focus on the conventional Type-1 FLSs. However, this type has disadvantage in terms of dynamic uncertainties present at inputs, a novel concept which is called type-2 fuzzy system has been studied to improve the uncertainty handling ability. The concept of type 2 fuzzy sets was proposed by Zadeh in 1975 to overcome the limitation of Type-1 fuzzy sets to model and minimize the effect of uncertainties. Recently, studies on the Type-2 fuzzy logic systems have obtained growing attention from researchers due their ability to handle uncertainty and he have shown that it provide good solutions due to having more degrees of freedom in design aspects [21-24].

In this work, Type-1 and Type-2 fuzzy logic controllers are proposed for the control of DSTATCOM, with the aim of compensates reactive power and corrects the power factors. The power circuit of DSTATCOM contains five-level NPC inverter; gate pulses for this inverter are generated with SVM technique. The aim of the work is shows to implement DSTATCOM with control strategies in the MATLAB, Simulink using Simpower® toolbox and to verify the results; various case studies applying different loads.

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* This paper is an extended version of the paper called “Design and simulation of five-level inverter based DSTATCOM using fuzzy logic”, published in the 6^{th} International Renewable Energy Congress (IREC), 2015 pages: 1-6, DOI: 10.1109/IREC.2015.7110875. In the current paper, a novel control method based on type-2 fuzzy systems is used to improve the power quality. The control algorithm is presented and a set of simulations is carried out in order to prove the good performances of the proposed solution. We also compared the proposed method with the work presented in the IREC 2015.