Bibliographies: 'SIZING OF SVC'

1

Mohd Ali, Nur Zahirah, Ismail Musirin, and Hasmaini Mohamad. "Effect of SVC installation on loss and voltage in power system congestion management." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 1 (2019): 428. http://dx.doi.org/10.11591/ijeecs.v14.i1.pp428-435.

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In this paper, a new hybrid optimization technique is proposed namely Adaptive Embedded Clonal Evolutionary Programming (AECEP). This idea comes from the combination part of the clone in an Artificial Immune System (AIS) and then combined with Evolutionary Programming (EP). This technique was implemented to determine the optimal sizing of Flexible AC Transmission Systems (FACTS) devices. This study focused on the ability of Static Var Compensator (SVC) is used for the optimal operation of the power system as well as in reducing congestion in power system. In order to determine the location of SVC, the previous study has been done using pre-developed voltage stability index, Fast Voltage Stability Index (FVSI). Congested lines or buses will be identified based on the highest FVSI value for the purpose of SVC placement. The optimizations were conducted for the SVC sizing under single contingency, where SVC was modeled in steady state analysis. The objective function of this study is to minimize the power loss and improve the voltage profile along with the reduction of congestion with the SVC installation in the system. Validation on the IEEE 30 Bus RTS and IEEE 118 Bus RTS revealed that the proposed technique managed to reduce congestion in power system.

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2

Abdullah, Ali Najim, Ahmed Majeed Ghadhban, Hayder Salim Hameed, and Husham Idan Hussein. "Enhancement the stability of power system using optimal location of FACTS devices." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 2 (2020): 648. http://dx.doi.org/10.11591/ijeecs.v18.i2.pp648-655.

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This paper proposes a steady-state of the Static Var Compensator (SVC) &amp; Thyristor Controlled Series Capacitor (TCSC) set up for enhancing the damping overall performance and growing the integral clearing time (CCT) of a power network. The indispensable clearing time is carried out through increasing the time fault interval until the gadget loses stability. Increasing the CCT can be contribute to reliability of the safety gadget, decrease the protection machine ranking and cost. In order to attain most enhancement of machine stability via optimizing location, sizing and control modes of SVC and TCSC. Models and methodology for putting and designing shunt FACT’s units SVC (injected reactive strength Q) and series FACT’s devices TCSC (chose capacitive region) are examined in a 6-bus system. Performance factors are described to show validation of SVC and TCSC on extraordinary conditions. It is proven that the SVC is better than TCSC.

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3

Duraisamy, Prasanth, and Arul Ponnusamy. "Power System Performance Improvement by Optimal Placement and Sizing of SVC using Genetic Algorithm." International Journal of Applied Power Engineering (IJAPE) 6, no. 2 (2017): 55. http://dx.doi.org/10.11591/ijape.v6.i2.pp55-62.

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The power system loss minimization becomes more important as the need of power generation is more recent days. The loss minimization improves the voltage profile which improves the loadability of the system. In many types of flexible AC transmission system (FACTS) devices static var compensators (SVC) are cost vise it is affordable and it improves the system performance with lesser size. Here SVC is optimally placed in a test system of 30 bus system. Genetic algorithm is used to find the optimal results.

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4

Duraisamy, Prasanth, and Arul Ponnusamy. "Power System Performance Improvement by Optimal Placement and Sizing of SVC using Genetic Algorithm." International Journal of Applied Power Engineering (IJAPE) 6, no. 2 (2017): 56. http://dx.doi.org/10.11591/ijape.v6.i2.pp56-63.

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The power system loss minimization becomes more important as the need of power generation is more recent days. The loss minimization improves the voltage profile which improves the loadability of the system. In many types of Flexible AC Transmission System (FACTS) devices Static Var Compensators (SVC) are cost vise it is affordable and it improves the system performance with lesser size. Here SVC is optimally placed in a test system of 30 bus system. Genetic algorithm is used to find the optimal results.

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5

Suyono, Hadi, Rini Nur Hasanah, and Paramita Dwi Putri Pranyata. "Optimization of the Thyristor Controlled Phase Shifting Transformer using PSO Algorithm." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 5472. http://dx.doi.org/10.11591/ijece.v8i6.pp5472-5483.

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The increase of power system demand leads to the change in voltage profile, reliability requirement and system robustness against disturbance. The voltage profile can be improved by providing a source of reactive power through the addition of new power plants, capacitor banks, or implementation of Flexible AC Transmission System (FACTS) devices such as Static VAR Compensator (SVC), Unified Power Flow Control (UPFC), Thyristor Controlled Series Capacitor (TCSC), Thyristor Controlled Phase Shifting Transformer (TCPST), and many others. Determination of optimal location and sizing of device injection is paramount to produce the best improvement of voltage profile and power losses reduction. In this paper, optimization of the combined advantages of TCPST and TCSC has been investigated using Particle Swarm Optimization (PSO) algorithm, being applied to the 30-bus system IEEE standard. The effectiveness of the placement and sizing of TCPST-TCSC combination has been compared to the implementation of capacitor banks. The result showed that the combination of TCPST-TCSC resulted in more effective improvement of system power losses condition than the implementation of capacitor banks. The power losses reduction of 46.47% and 42.03% have been obtained using of TCPST-TCSC combination and capacitor banks respectively. The TCPST-TCSC and Capacitor Bank implementations by using PSO algorithm have also been compared with the implementation of Static VAR Compensator (SVC) using Artificial Bee Colony (ABC) Algorithm. The implementation of the TCSC-TCPST compensation with PSO algorithm have gave a better result than using the capacitor bank with PSO algorithm and SVC with the ABC algorithm.

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6

Santamaria-Henao, Nicolas, Oscar Danilo Montoya, and César Leonardo Trujillo-Rodríguez. "Optimal Siting and Sizing of FACTS in Distribution Networks Using the Black Widow Algorithm." Algorithms 16, no. 5 (2023): 225. http://dx.doi.org/10.3390/a16050225.

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The problem regarding the optimal placement and sizing of different FACTS (flexible alternating current transmission systems) in electrical distribution networks is addressed in this research by applying a master–slave optimization approach. The FACTS analyzed correspond to the unified power flow controller (UPFC), the thyristor-controlled shunt compensator (TCSC, also known as the thyristor switched capacitor, or TSC), and the static var compensator (SVC). The master stage is entrusted with defining the location and size of each FACTS device using hybrid discrete-continuous codification through the application of the black widow optimization (BWO) approach. The slave stage corresponds to the successive approximations power flow method based on the admittance grid formulation, which allows determining the expected costs of the energy losses for a one-year operation period. The numerical results in the IEEE 33-, 69-, and 85-bus grids demonstrate that the best FACTS device for locating in distribution networks is the SVC, given that, when compared to the UPFC and the TCSC, it allows for the best possible reduction in the equivalent annual investment and operating cost. A comparative analysis with the General Algebraic Modeling System software, with the aim to solve the exact mixed-integer nonlinear programming model, demonstrated the proposed BWO approach’s effectiveness in determining the best location and size for the FACTS in radial distribution networks. Reductions of about 12.63% and 13.97% concerning the benchmark cases confirmed that the SVC is the best option for reactive power compensation in distribution grids.

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7

Thasnas, Natakorn, and Apirat Siritaratiwat. "Static Voltage Stability Margin Enhancement Using Shunt Capacitor, SVC and STATCOM." Applied Mechanics and Materials 781 (August 2015): 288–91. http://dx.doi.org/10.4028/www.scientific.net/amm.781.288.

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This paper presents the study of static voltage stability margin enhancement using shunt capacitor, SVC and STATCOM. AC and DC representations of shunt compensation devices are used in the continuation power flow process in static voltage stability study. Various performance measures including PV curves, voltage profiles, and power losses are compared. Placement and sizing techniques of shunt compensation devices are proposed for loading margin enhancement. The study has been carried out on the IEEE 14 bus test system.

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8

Hasma Abdullah, Nor Rul, Mahaletchumi A. P Morgan, Mahfuzah Mustafa, Rosdiyana Samad, and Dwi Pebrianti. "Multi-Objective Evolutionary Programming for Static VAR Compensator (SVC) in Power System Considering Contingencies (N-m)." International Journal of Power Electronics and Drive Systems (IJPEDS) 9, no. 2 (2018): 880. http://dx.doi.org/10.11591/ijpeds.v9.i2.pp880-888.

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Static VAR Compensators (SVCs) is a Flexible Alternating Current Transmission System (FACTS) device that can control the power flow in transmission lines by injecting capacitive or inductive current components at the midpoint of interconnection line or in load areas. This device is capable of minimizing the overall system losses and concurrently improves the voltage stability. A line index, namely SVSI becomes indicator for the placement of SVC and the parameters of SVCs are tuned by using the multi-objective evolutionary programming technique, effectively able to control the power. The algorithm was tested on IEEE-30 Bus Reliability Test System (RTS). Comparative studies were conducted based on the performance of SVC in terms of their location and sizing for installations in power system.

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9

Mohd Ali, N. Z., I. Musirin, and H. Mohamad. "Clonal evolutionary particle swarm optimization for congestion management and compensation scheme in power system." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 2 (2019): 591. http://dx.doi.org/10.11591/ijeecs.v16.i2.pp591-598.

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This paper presents computational intelligence-based technique for congestion management and compensation scheme in power systems. Firstly, a new model termed as Integrated Multilayer Artificial Neural Networks (IMLANNs) is developed to predict congested line and voltage stability index separately. Consequently, a new optimization technique termed as Clonal Evolutionary Particle Swarm Optimization (CEPSO) was developed. CEPSO is initially used to optimize the location and sizing of FACTS devices for compensation scheme. In this study, Static VAR Compensator (SVC) and Thyristor Control Static Compensator (TCSC) are the two chosen Flexible AC Transmission System (FACTS) devices used in this compensation scheme. Comparative studies have been conducted between the proposed CEPSO and traditional Particle Swarm Optimization (PSO). Results obtained by the developed IMLANNs demonstrated high accuracy with respect to the targeted output. Consequently, the proposed CEPSO implemented for single objective in single unit of SVC and TCSC has resulted superior results as compared to the traditional PSO in terms of achieving loss reduction and voltage profile improvement.

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10

Prasath, R. Arun, M. Vimalraj, M. Riyas Ahamed, and K. Srinivasa Rao. "Power System Loadability Maximization by Optimal Placement of Multiple-Type FACTS Devices Using PSO Based GUI." Advanced Materials Research 984-985 (July 2014): 1286–94. http://dx.doi.org/10.4028/www.scientific.net/amr.984-985.1286.

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This paper presents a graphical user interface (GUI) uses Particle Swarm Optimization (PSO), which is used to find the optimal locations and sizing parameters of multi type Flexible AC transmission systems (FACTS) devices in complex power systems. The GUI toolbox, offers user to choose a power system network, PSO settings and the type and number of FACTS devices for the selected network. In this paper, three different FACTS devices are implemented: SVC, TCSC and TCPST. FACTS devices are used to increase the system loadability, by reducing power flow on overloaded lines, transmission line losses, improving system stability and security. With this can make the transmission system more energy-efficient. PSO used here for optimally allocating and sizing the multiple type FACTS in a standardized power network (IEEE 30 bus system) in order to improve voltage profile, minimizing power system total losses and maximizing system loadability with respect to the size of FACTS.

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