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Particle Swarm Optimization Based Composite Power System Reliability Analysis Using FACTS

Venkata Padmavathi S 1, Sarat Kumar Sahu 2, and A. Jayalaxmi 3
1. EEE Dept., GITAM University, Hyderabad, A.P., India
2. EEE Dept., M.V.G.R Engg. Col., Vizianagaram, A.P., India
3. EEE Dept., JNTU University, Hyderabad, A.P., India
Abstract—With the introduction of competition in the existing electrical market, it becomes necessary to enhance the transmission capacity of the power system through the existing transmission lines. The utilization of FACTS technologies can have significant impact on power system reliability. Low cost and feasibly better improvement can be achieved by using power electronics based devices in the system. Such devices are called Flexible Alternating Current Transmission system (FACTS) devices. This work deals with the reliability evaluation of generation system, transmission system, and load system by probabilistic technique. The composite system reliability can be enhanced by adjusting the settings of the FACTS device (such as reactance, phase angles, reactive power injection) with respect to the system. This is based on DC and AC load flow model. In this paper, the settings of Thyristor Controlled Series Capacitor or Compensator (TCSC) and Unified Power Flow Controller (UPFC) are found out using PSO technique for enhancing the transmission power capability to improve composite power system reliability. Now by finding Loss of Load Probability(LOLP) by inserting TCSC and UPFC in the line and compare the reliability after connecting TCSC and UPFC separately.
Index Terms—flexible AC transmission system (FACTS), thyristor controlled series capacitors (TCSC), particle swarm optimization technique (PSO), loss of load probability (LOLP), unified power flow controller (UPFC)

Cite: Venkata Padmavathi S, Sarat Kumar Sahu, and A. Jayalaxmi, "Particle Swarm Optimization Based Composite Power System Reliability Analysis Using FACTS," International Journal of Electronics and Electrical Engineering, Vol. 3, No. 2, pp. 105-109, April 2015. doi: 10.12720/ijeee.3.2.105-109
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