Optimal Placement of Thyristor Controlled Series Compensation for Enhancing Power System Security Based on Computational Intelligence Techniques (original) (raw)
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International Journal of Hybrid Information Technology, 2015
Flexible Alternating Current Transmission Systems (FACTS) represents a vast development in the area of power system operation and control. As we know that under heavily loaded conditions our power system is at high risks of consequent voltage instability problem. This paper gives an overview about application of series connected Flexible alternating current transmission system (FACTS) for improvement of power system performance like transfer stability, secure voltage profile and reduce the system losses etc. FACTS devices require huge capital investment. Therefore, heuristic techniques are used for optimal location and sizing of series FACTS controllers like Genetic Algorithm (GA), Particle Swarm Optimization (PSO) etc. These techniques are used to solve the optimization problem. This paper gives details of optimal placement and sizing of FACTS devices based on different evolutionary techniques which is used for minimization of transmission loss, enhancement of stability of power system. In this study one of the FACTS devices is used as a scheme for enhancement of power system stability.Proper installation of FACTS devices also results in significant reduction of transmission loss. In this review,TCSC is selected as the compensation device.
2010 IEEE International Conference on Power and Energy, 2010
The increment of power demand can cause a rapid reduction in voltage profile that can disrupt system stability leading to potential failure on the entire system as the system has to work under a stressed condition. Thus, the Flexible AC Transmission System (FACTS) are integrated in power system to control the power flow in specific lines and improve the security of transmission line. This paper proposes a static voltage stability index (SVSI) for placement of Thyristor Controlled Series Compensator (TCSC) and used Evolutionary Programming (EP) techniques for optimal sizing of TCSC used for system under contingencies. The objective of the study is to minimize the total real power losses, and at the same time monitoring the voltage profile along with the installation cost. Critical contingency cases have been used to decide optimal sizing for the placement of TCSC. The TCSC devices are installed in the system in order to enhance the system security; performed on the IEEE 30-bus RTS for several loading conditions. The simulations results are compared with those obtained from the Artificial Immune System (AIS) technique in the attempt to highlight its merit.
Power System Stability Enhancement Using Optimal Placement of TCSC via Genetic Algorithm
2017
This paper presents an approach to find the optimal location of thyristor-controlled series compensators (TCSC) in a power system to improve the loadability of its lines and minimize its total loss. Also the proposed approach aims to find the optimal number of devices and their optimal ratings by using genetic algorithm (GA) with taking into consideration the thermal and voltage limits. Examination of the proposed approach is carried out on the IEEE 6-bus , 14 bus and 30 bus system. KEYWORDSTCSC devices, Genetic algorithms, Optimal locations, Loss minimization.
Genetic Algorithm-Based Optimal Location of TCSC and SSSC in the Power System Network
International Review on Modelling and Simulations, 2010
FACTS controllers are based on power electronics technology. They are able to control three main parameters of transmission line such as voltage magnitude, voltage angle and line impedance. Different types of FACTS devices and their various locations in the power system have different effects. In this paper, a practical, accurate and famous heuristic method in engineering science known as genetic algorithm (GA) is used to find the optimal location of FACTS devices and their appropriate size and setting is presented. This method is employed to maximize distance to collapse point of power system and to reduce total active power loss. The continuation power flow (CPF) method is operated to identify the collapse point and critical situation of system. Two types of FACTS devices considered in this study are Thyristor Controlled Series Capacitor (TCSC) and Static Synchronous Series Compensator (SSSC). Modeling and simulation are performed on IEEE 14, 57 and 118 bus test system. The acquired results clearly display the effectiveness of this study to find the best location, appropriate size and setting of FACTS devices to achieve mentioned objectives. Furthermore, the results show the effect and capability of FACTS devices to modify different parameters of power system.
SENSITIVITY BASED OPTIMAL LOCATION OF TCSC FOR IMPROVEMENT OF POWER SYSTEM SECURITY
Over the last two decades, instability problem in power systems have become one of the most important concerns in the power industry which lead to blackouts. So, it is very important to have high efficiency, maximum reliability, and security in design and operation of power system. Recent development of power electronics introduces the use of flexible ac transmission system (FACTS) controllers in power systems. FACTS controllers are capable of controlling the network condition in a very fast manner and this feature of FACTS can be exploited to improve the stability of a power system. Thyristor controlled series compensator (TCSC) is one of the FACTS devices used for maintaining and enhancing the power system security. This paper gives a review about different methods used for enhancement of power system security.
Electric Power Components and Systems, 2011
With the increasing growth of population and development of industries, huge amount of sums are spent to increase the production of electricity and installation of new units. In this paper, a new method has been presented which reduces the aforementioned costs and prevents the losses in national capitals and fuel sources. This method finds the optimal location of Thyristor controlled series capacitor (TCSC) in transmission network by using genetic algorithm. Due to the use of fossil fuels in power plants, the application of this method is necessary in countries with the high cost of electricity. The effectiveness of the proposed method has been illustrated in a 10-bus network as a case study.
IIUM Engineering Journal
As the world's energy consumption increases, the expansion of the energy system becomes increasingly important. However, the creation of new transmission lines requires excessive costs and time if the same transmission capacity is to be added to the existing network. Today's electrical networks are faced with high risks of voltage instability and real power losses. This development tends to occur due to the lack of reactive control power (RPL) in heavily stressed operating conditions caused by increased demand for loads and the rapid development of power systems worldwide. This paper has adopted the setting of FACTS (flexible AC transmission system) devices as additional control parameters for reducing transmission losses in power system static types of two FACTS devices consisting of SVC (static VAR compensators) while the TCSC (thermistor controlled series compensator) is included in the issue formulation. During this paper, the proposed algorithm was to determine the opt...
Scientific Research …, 2011
With the increasing growth of population and development of industries, huge amount of sums are spent to increase the production of electricity and installation of new units. In this paper, a new method has been presented which reduces the aforementioned costs and prevents the losses in national capitals and fuel sources. This method finds the optimal location of Thyristor controlled series capacitor (TCSC) in transmission network by using genetic algorithm. Due to the use of fossil fuels in power plants, the application of this method is necessary in countries with the high cost of electricity. The effectiveness of the proposed method has been illustrated in a 10-bus network as a case study.
Optimal placement of facts devices to reduce power system losses using evolutionary algorithm
Indonesian Journal of Electrical Engineering and Computer Science, 2021
The rapid and enormous growths of the power electronics industries have made the flexible ac transmission system (FACTS) devices efficient and viable for utility application to increase power system operation controllability as well as flexibility. This research work presents the application of an evolutionary algorithm namely differential evolution (DE) approach to optimize the location and size of three main types of FACTS devices in order to minimize the power system losses as well as improving the network voltage profile. The utilized system has been reactively loaded beginning from the base to 150% and the system performance is analyzed with and without FACTS devices in order to confirm its importance within the power system. Thyristor controlled series capacitor (TCSC), unified power flow controller (UPFC) and static var compensator (SVC) are used in this research work to monitor the active and reactive power of the carried out system. The adopted algorithm has been examined on IEEE 30-bus test system. The obtained research findings are given with appropriate discussion and considered as quite encouraging that will be valuable in electrical grid restructuring.
Optimal Placement of TCSC to Improve the Performance of Modern Power System
Optimal Placement and parameter setting of flexible AC Transmission systems (FACTs) devices can increase loadability, improve stability, reduced active and reactive power losses in transmission line. In this paper, sensitivity based analysis has been proposed to determine optimal location and size of Thyristor Controlled Series Capacitor (TCSC) to improve the overall (voltage stability, power transfer capability and reduce losses) performance of power system. The effect of TCSC on the network is included as a variable reactance. Further, the suitable location of the TCSC is identified using the real power loss minimization based sensitivity-index, total reactive power loss minimization based sensitivity index and real power flows minimization based sensitivity index. Simulation has been performed on a bench mark 5-bus and IEEE-30 bus systems. From the simulation results it is observed that real power loss and real power flow minimization based sensitivity index methods are more effective as compared to the reactive power loss reduction-based sensitivity index method to obtain the optimal location of TCSC. Further, results obtained for 5-bus system and IEEE 30bus systems showed the steadiness of the proposed sensitivity-based approaches.