Optimal Placement of Unified Power Flow Controller (UPFC) using Fuzzy Logic

Magadum, Rudresh B.; Dodamani, Sateesh N.; Kulkarni, D. B.

doi:10.1109/icees.2019.8719304

Cited by 13 publications

(4 citation statements)

References 2 publications

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“…For small power networks, the location can be decided by placing the UPFC between each pair of buses, and then the power flows and voltage profiles can be compared. For power systems with a large number of buses and loads, this direct method becomes cumbersome [20].…”

Section: Manual Voltage Injectionmentioning

confidence: 99%

Improvement of the Power System's Transient Stability Using the Unified Power Flow Controller with Fuzzy Logic Technique

Raghad Hameed Ahmed,

Ahmed Said Nouri

2023

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By combining the functions of many FACTS (flexible alternative current transmission systems) devices into a single unit, the UPFC (unified power flow controller) is the most efficient FACTS device available. Two voltage converters work together to form the Unified Power Flow Controller, a flexible tool for enhancing voltage regulation, power flow management, and power system stability. Both converters rely heavily on their control methods. This article discusses the power flow mechanism in a transmission line, which is necessary for understanding the functioning of UPFC in a transmission line and using a standard PI controller with voltage references in the control circuit of both converters. This study aims to enhance the power system's dependability and stability by developing a smart support-based UPFC device. Fuzzy logic is a useful tool for controlling UPFC equipment in a variety of failure scenarios. The fuzzy logic controller contrasts power grid characteristics such as a rotor speed deviation to a reference value to create operational pulses for the voltage source converter in the UPFC system. The suggested model will be tested using MATLAB simulation. The success of the proposed model is shown by thoroughly comparing simulation results to those of previously established models. This research paper's original contribution is the creation of a smart support-based UPFC device with fuzzy logic control. By comparing power system parameters such as rotor speed deviation to a reference value and generating operational pulses for the voltage source converter in the UPFC system, this technique increases the electricity grid's dependability and stability. The effectiveness of the suggested model is proved by a comparison of simulation results obtained in a MATLAB environment with those obtained from previously developed models.

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Section: Manual Voltage Injectionmentioning

confidence: 99%

Improvement of the Power System's Transient Stability Using the Unified Power Flow Controller with Fuzzy Logic Technique

Raghad Hameed Ahmed,

Ahmed Said Nouri

2023

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“…The method was based on the DC load flow model. Fuzzy logic was used in [18] to determine the optimal locations of UPFC with the objective of enhancing voltage stability here L-index is used to determine weak buses in the system. In [19], mixed integer programming and Taylor series expansion was proposed for the optimal siting of TCSC.…”

Section: Facts Device Real Power Flowmentioning

confidence: 99%

Optimal Placement, Sizing and Coordination of FACTS Devices in Transmission Network Using Whale Optimization Algorithm

et al. 2020

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Flexible AC Transmission Systems (FACTS) play an important role in minimizing power losses and voltage deviations while increasing the real power transfer capacity of transmission lines. The extent to which these devices can provide benefits to the transmission network depend on their optimal location and sizing. However, finding appropriate locations and sizes of these devices in an electrical network is difficult since it is a nonlinear problem. This paper proposes a technique for the optimal placement and sizing of FACTS, namely the Thyristor-Controlled Series Compensators (TCSCs), Shunt VARs Compensators (SVCs), and Unified Power Flows Controllers (UPFCs). To find the optimal locations of these devices in a network, weak buses and lines are determined by constructing PV curves of load buses, and through the line stability index. Then, the whale optimization algorithm (WOA) is employed not only to find an ideal ratings for these devices but also the optimal coordination of SVC, TCSC, and UPFC with the reactive power sources already present in the network (tap settings of transformers and reactive power from generators). The objective here is the minimization of the operating cost of the system that consists of active power losses and FACTS devices cost. The proposed method is applied to the IEEE 14 and 30 bus systems. The presented technique is also compared with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The findings showed that total system operating costs and transmission line losses were considerably reduced by WOA as compared to existing metaheuristic optimization techniques.

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“…The placement of the FACTS device in the network plays a decisive role in the functioning of such a device. Throughout the literature, a variety of methods have been proposed to determine the optimal placement of FACTS device in a network depending on various optimization methods [21][22][23][24][25]. In this paper, the placement of the UPFC has been determined on the basis of the contingency analysis based on the initial power flow of the network [28].…”

Section: Introduction To the Test Grid And Influence Area Of The Upfcmentioning

confidence: 99%

“…FIGURE22 Plot of the total line overload dP Sum with and without additional control of PST for a case of an unrecoverable overload…”

mentioning

confidence: 99%

Communication‐free decentralized power flow control of unified power flow controllers and phase‐shifting transformers in high voltage transmission systems

Choudhury

Saçiak

Hanson

2022

IET Generation Trans & Dist

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Conventional phase-shifting transformers (PST) have been utilized for power flow control in transmission networks for many years. Compared to the slow reacting PSTs, recently trending unified power flow controllers (UPFC) enable much faster power flow control. This paper introduces a decentralized power flow control scheme for power flow controllers (PFCs) without the need for communication between the PFCs. For each PFC, an influence area is defined. The line loading of the transmission lines in this influence area is monitored in real-time operation and if there is an overloading of a line, a feedback control scheme is used to mitigate the overloading of the line. As the power flow control of UPFC is dependent of the network topology and the UPFC converter limit, additional control measures are introduced to circumvent potential critical scenarios. Supplementary control measures are also developed to increase the robustness of control scheme for the simultaneous operation of UPFC with slow reacting PST. Using RMS simulation in DIgSILENT PowerFactory, the developed control method is validated in the IEEE 68-Bus NETS/NYPS test bench network. The method is also validated for UPFCs with overlapping influence areas and the combination of fast acting UPFCs and slow acting PST devices.

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Optimal Placement of Unified Power Flow Controller (UPFC) using Fuzzy Logic

Cited by 13 publications

References 2 publications

Improvement of the Power System's Transient Stability Using the Unified Power Flow Controller with Fuzzy Logic Technique

Improvement of the Power System's Transient Stability Using the Unified Power Flow Controller with Fuzzy Logic Technique

Optimal Placement, Sizing and Coordination of FACTS Devices in Transmission Network Using Whale Optimization Algorithm

Communication‐free decentralized power flow control of unified power flow controllers and phase‐shifting transformers in high voltage transmission systems

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