Power Quality Enhancement in Sensitive Local Distribution Grid Using Interval Type-II Fuzzy Logic Controlled DSTATCOM

Pandu, Sathish Babu; Sundarabalan, C.K.; Srinath, N.S.; Krishnan, T. Santhana; Priya, G.S. Krishna; Balasundar, C.; Sharma, Jayant; Soundarya, G.; Siano, Pierluigi; Alhelou, Hassan Haes

doi:10.1109/access.2021.3072865

Cited by 33 publications

(14 citation statements)

References 22 publications

(21 reference statements)

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“…Power electronics-based compensation devices such as distribution static compensator (D-STATCOM) and static var compensation (SVC) have a fast response and large capacity of the reactive power injection [4]. D-STACOM devices, with their ability to control the power flow and voltage, can be a solution to mitigate voltage violation [5]. The optimization algorithms, such as bacterial foraging optimization algorithm, genetic algorithm (GA), fuzzy logic, and ant colony optimization approach, were used in previous researches to determine the optimal locations and ratings of D-STATCOMs in DNs for mitigating the voltage violation and reduce power losses [6], [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Centralized Control Method for Voltage Coordination Challenges With OLTC and D-STATCOM in Smart Distribution Networks Based IoT Communication Protocol

et al. 2023

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This paper proposes a coordination method for the voltage control devices based on optimal settings of the D-STATCOMs, on the load tap changer (OLTC) transformer and the distributed generations (DGs)-based renewable energy resources (RERs). The central controller is introduced to handle the active smart distribution network (SDN) problems to maintain the voltage profile within its permissible limits, minimize power losses in different operating conditions, and minimize the energy wastage from the distributed renewable energy resources. These problems are formulated as a multi-objective optimization problem. With increasing load demand and RERs in the distribution system, voltage coordination threatens real-time efficiency. In this research work, central controller-based Gorilla Troops optimization (GTO) algorithm is proposed to detect the optimum solutions for the voltage coordination problem. The load demand uncertainty and the stochastic nature of power generated from RERs (PV panels and wind turbines) are considered in the voltage coordination problem due to their significant effects on the operation and planning of the SDN. The proposed SDN has been represented based on the Internet of Things (IoT) communication protocol. It enhances the data and information transfer between the system-connected agents. A practical test system, NDEDC-24 bus radial distribution network from the North Delta Electrical Distribution Company and IEEE-33 node system are used to test and evaluate the proposed method. The results are compared with other well-known evolutionary methods. The proposed method obtains more accurate results than the other methods.INDEX TERMS D-STATCOM, distribution network, Internet of Things, on-load tap changer, voltage coordination.

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Section: Introductionmentioning

confidence: 99%

Centralized Control Method for Voltage Coordination Challenges With OLTC and D-STATCOM in Smart Distribution Networks Based IoT Communication Protocol

et al. 2023

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“…The reference magnitude is analogized with the initial value and then provided to PI controller as the input. As it is highly essential to tune the parameters of PI controller for maintaining a constant DC link voltage, different approaches are employed in the process of tuning the PI parameters [18,19]. As it has plenty of advantageous impact in the process of monitoring the stability of control system, it plays a significant role [20].…”

Section: Introductionmentioning

confidence: 99%

Harmonics Mitigation Using MMC Based UPFC and Particle Swarm Optimization

Thilaka¹,

Linda²

2023

Intelligent Automation &Amp; Soft Computing

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The application of non-linear loads in the power electronic device causes serious harmonic issues in the power system since it has the intrinsic property of retrieving harmonic current and reactive power from Alternating Current (AC) supply that leads to voltage instability. To maintain a reliable power flow in the power system, an innovative Unified Power Flow Converter (UPFC) is utilized in this proposed approach. The conventional series converter is replaced with the Modular Multilevel Converter (MMC) that improves the power handling capability and achieves higher modular level with minimized distortions. The shunt compensator assists in minimizing the voltage fluctuations and maximizing the voltage stability under different load constraints. The Direct Quadrature (DQ) theory is utilized in this study to separate the harmonic components by generating reference frame current. The Proportional Integral (PI) controller aids in maintaining the direct current potential difference in the constant mode whereas the Pulse Width Modulation (PWM) generator helps in delivering optimized output to the MMC. The gain parameters of PI controller are optimized with the aid of employing Particle Swarm Optimization (PSO). The entire work is validated using MATLAB simulink and the obtained outcomes proves that this new UPFC is highly beneficial in minimizing the distortions with reduced Total Harmonic Distortion (THD) of 2.21%.

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“…PQ reference theory produces reference signals to control DSTATCOM to increase the power quality. Using an interval type 2 FLC DSTATCOM [8] in the system dramatically decreases overall harmonic distortion, and the recursive, least square filter, aids in fine-tuning it to sharp levels. Also, lowering the current harmonic at the source side aids in a significant reduction in overall harmonic distortion.…”

Section: Introductionmentioning

confidence: 99%

Improving Power Quality by DSTATCOM Based DQ Theory with Soft Computing Techniques

Nandagopal¹,

Damodhar²,

Vijayapriya³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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The development of non-linear loads at consumers has significantly impacted power supply systems. Since, the poor power quality has been found in the three-phase distribution system due to unbalanced loads, harmonic current, undesired voltage regulation, and extreme reactive power demand. To overcome this issue, Distributed STATicCOMpensator (DSTATCOM) is implemented. DSTATCOM is a shunt-connected Voltage Source Converter (VSC) that has been utilized in distribution networks to balance the bus voltage in terms of enhancing reactive power control and power factor. DSTATCOM can provide both rapid and continuous capacitive and inductive mode compensation. A rectified resistive and inductive load eliminates current harmonics in a three-phase power supply. The synchronous fundamental DQ frame is a time-domain approach developed from three-phase system space vector transformations has been designed using MATLAB/Simulink. The DQ theory is used to produce the reference signal for the Pulse Width Modulation (PWM) generator. In addition, a traditional Proportional Integral Derivative (PID) controller is designed and compared with proposed soft computing approaches such as Fuzzy-PID and Artificial Neural Network (ANN-PID) and compared accurate reference current determination for Direct Current (DC) bus through DC link. An Analytical explores the proposed control strategies given to establish superior outcomes. Finally, total harmonic distortion analysis should be taken for performance analysis of the proposed system with IEEE standards.

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Power Quality Enhancement in Sensitive Local Distribution Grid Using Interval Type-II Fuzzy Logic Controlled DSTATCOM

Cited by 33 publications

References 22 publications

Centralized Control Method for Voltage Coordination Challenges With OLTC and D-STATCOM in Smart Distribution Networks Based IoT Communication Protocol

Centralized Control Method for Voltage Coordination Challenges With OLTC and D-STATCOM in Smart Distribution Networks Based IoT Communication Protocol

Harmonics Mitigation Using MMC Based UPFC and Particle Swarm Optimization

Improving Power Quality by DSTATCOM Based DQ Theory with Soft Computing Techniques

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