This paper examines the application of FACTS devices to increase the voltage stability margin in power systems. Most of the proposed methods for allocating FACTS devices consider only the normal state of the network. However, the mains voltage usually breaks down due to More
This paper examines the application of FACTS devices to increase the voltage stability margin in power systems. Most of the proposed methods for allocating FACTS devices consider only the normal state of the network. However, the mains voltage usually breaks down due to an unforeseen accident. Therefore, in this paper, the strategy of locating FACTS devices based on possible (unpredictable) studies is proposed. Using medal analysis, a possible index is defined that can be used to classify system buses based on their effect on improving system voltage stability, under all possible probabilities. This method has been shown to lead to integrated reactive power supply. As a result, it can be more effective in the event of a further error. The IEEE standard 14-bus network has been used to demonstrate the proposed achievement in locating parallel FACTS devices. The results show that the allocation of FACTS devices by the proposed method improves the system voltage stability under the conditions of error probability.
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With the rapid progress of semiconductors in the level of voltage and power of the power system as well as the progress of control systems, compensators with high flexibility and performance range have been designed and built to increase the flexibility of energy transm More
With the rapid progress of semiconductors in the level of voltage and power of the power system as well as the progress of control systems, compensators with high flexibility and performance range have been designed and built to increase the flexibility of energy transmission systems. to be These compensators installed in power systems are called flexible ac transmission systems (FACTS). One of the most important advantages of FACTS devices in the transmission system is to increase the transient stability margin of the power system by controlling the active and reactive power of the line during the occurrence of a fault in the system. In this article, the effect of one FACTS device with parallel connection, i.e. static compensator, on transient stability is investigated. The studied system is a two-machine power system including a hydropower plant and a local power plant. The simulation results show the effect of the compensator on the damping of electric power angle fluctuations. Also, the simulation results show the lack of influence of the compensator on the transmission active power in the transmission line. The simulation results have been obtained using Simulink MATLAB software.
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Given the high costs of investment for transmission network development and the key role of transmission networks in restructured space, using FACTS devices is crucial. In this paper, the optimal Placement of FACTS in transmission networks is investigated. In the propos More
Given the high costs of investment for transmission network development and the key role of transmission networks in restructured space, using FACTS devices is crucial. In this paper, the optimal Placement of FACTS in transmission networks is investigated. In the proposed method, the objective function is defined for loss reduction a. Average models available in references are used for modeling FACTS devices. The multi-objective harmony search algorithm is used for problem-solving. This algorithm has good speed in the convergence of non-linear problems. In the numerical studies section, the problem is solved in two different scenarios with the presence of different types of FACTS devices. Results of numerical studies indicate that FACTS devices can have a considerable impact on loss reduction.
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The growing use of energy in the world necessitates the development of power networks. However, developing new transmission lines requires a great deal of time and cost, so it will be very cost-effective to use the same lines with higher transmission capacities, if poss More
The growing use of energy in the world necessitates the development of power networks. However, developing new transmission lines requires a great deal of time and cost, so it will be very cost-effective to use the same lines with higher transmission capacities, if possible. In this regard, in recent years, by introducing of FACTS to power networks, their use in industrialized countries has become commonplace to increase the capacity of transmission lines. In this paper, the optimal adjustment of reactive power sources in the power network with FACTS series and parallel devices (TCSC, SVC) in order to coordinate them with each other and using fuzzy logic based on evolutionary algorithms such as particle swarm to reduce power losses Active, operating system costs including the cost of FACTS devices and congestion in transmission networks. Finally, this will be proven by simulating the IEEE 30-Bus test network and placing FACTS devices on it.
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When a turbine–generator set connect to a long transmission line, may results side effects such as Sub-Synchronous Resonances (SSR). The capabilities of the Distributed Static Series Compensator (DSSC) as a member of the family of D-FACTS can be used to reduce the More
When a turbine–generator set connect to a long transmission line, may results side effects such as Sub-Synchronous Resonances (SSR). The capabilities of the Distributed Static Series Compensator (DSSC) as a member of the family of D-FACTS can be used to reduce these SSR. To achieve this desired goal, the fuzzy controller, Particle Swarm Optimization (PSO) and artificial neural network is used to control of the DSSC. Particle swarm optimization is designed Based on the Conventional Damping Controller (CDC) and fuzzy logic is designed based on damping controller (FLBDC) and damping control based on artificial neural network trained using the fast pace of changes has been designed. Stability of the system is analysed by simulations in the time domain with performance index (PI). All simulations are done using Matlab / Simulink software. Case studies show that proposed algorithms can reduce SSR in the system.All simulations are done using Matlab / Simulink software. Case studies show that proposed algorithms can reduce SSR in the system.
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