Pass through congestion management in deregulated power system using genetic algorithm

Kirthika, N.; Balamurugan, S.

doi:10.1109/iccpct.2017.8074360

Cited by 4 publications

(2 citation statements)

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“…Monte Carlo simulation is used to finding the plan for optimal transmission expansion. Optimal placement of FACTS device to manage congestion is given in [4]- [13]. TCSC is used to controls power flow in lines by reducing the power flow in heavily loaded line which gives the results such as stability improvement, system reliability, increasing load ability and low system losses.…”

Section: Introductionmentioning

confidence: 99%

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Congestion Management and Transmission Line Loss Reduction using TCSC and Market Split Based

2019

IJITEE

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Due to increasing power demand in a deregulated power system, the stability of the power system may get affected and sometimes it may also cause congestion in the transmission lines of power networks. It is a major issue for a deregulated power system and its management provides a competition environment to different market players. In this paper, market split based approach is used to tackle the problem of congestion which split the system into zones. Locational Marginal Pricing (LMP) method is used to access the prices at different buses. The objective is to minimize the congestion effect. DC optimal power flow based system is used to solve such type of problem. TCSC (Thyristor-Controlled Series Compensation), FACTS (Flexible Alternating Current Transmission System) device is used to reduce the losses in a transmission system. Market splitting based approach is effective to manage the prices at different buses and system stability is increased by using TCSC. The whole work is carried out on IEEE 14 bus system.

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Section: Introductionmentioning

confidence: 99%

“…Block Diagram of TCSC Device.TCSC has a series compensating compensator (C) is connected parallel to the thyristor controlled reactor (TCR)[4], Where TCR is a variable inductive reactor (X L ()) and is shown infig 2.…”

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confidence: 99%