FACTS Devices Impact on Congestion Mitigation of Power System

Kumar, Jitender; Kumar, Narendra

doi:10.1007/s40031-020-00450-z

Cited by 10 publications

(8 citation statements)

References 16 publications

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“…The real and apparent flow equations containing TCSC across the buses (i.e. from ith bus to jth bus) are expressed in equations ( 6) and (7). Therefore,…”

Section: Fig3 Transmission Line Model After Installing Tcscmentioning

confidence: 99%

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Congestion Management in Deregulated Power System using Adaptive Moth Swarm Optimization

Ramaporselvi

Geetha

2021

Preprint

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Transmission line congestion is considered the most acute trouble during the operation of the power system. Therefore, congestion management acts as an effective tool in utilizing the available power without breaking the system hindrances or limitations. Over the past few years, determining an optimal location and size of the devices have pinched a great deal of consideration. Numerous approaches have been established to mitigate the congestion rate and this paper aims to enhance the line congestion and minimize power loss by determining the compensation rate and optimal location of thyristor-controlled series capacitor (TCSC) using adaptive moth swarm optimization (AMSO) algorithm. An adaptive moth swarm AMSO algorithm utilizes the performances of moth flame and chaotic local search-based shrinking scheme of the bacterial foraging optimization algorithm. The proposed AMSO approach is executed and discussed for IEEE-30 bus system for determining the optimal location of single TCSC and dual TCSC. In addition to this, the proposed algorithm is compared with various other existing approaches and the results thus obtained provide better performances when compared with other techniques.

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“…The real and apparent flow equations containing TCSC across the buses (i.e. from ith bus to jth bus) are expressed in equations ( 6) and (7). Therefore,…”

Section: Fig3 Transmission Line Model After Installing Tcscmentioning

confidence: 99%

“…In general,transmission and distributionare in terms referred to as vertical integration utilities. However, with the available capacitive power plants and renewable resources, an ordinary human being can generate electric power and can transfer the electric power to the grid that made the reconstruction process more significant [7].…”

Section: Introductionmentioning

confidence: 99%

Congestion Management in Deregulated Power System using Adaptive Moth Swarm Optimization

Ramaporselvi

Geetha

2021

Preprint

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“…1999). (Jitender Kumar & Narendra Kumar. 2020) model designed of IEEE 14 bus network by using Matlab/Simulink platform.…”

Section: Introductionmentioning

confidence: 99%

“…The present work uses a model of IEEE 14 Bus system (Anwar S. Siddiqui & Tanmoy Deb 2014) (Jitender Kumar & Narendra Kumar. 2020) with SSSC controller in order to be simulated on Matlab/ Simulink platform.…”

Section: Introductionmentioning

confidence: 99%

SSSC Controller a Pro-defensive and Preventive Approach for Power System Optimisation

Kumar¹,

Kumar²

2022

JER is an international, peer-reviewed journal that publishes f

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The conventional and modern controlling practices used in power technology contradict each other. This is due to their operational and observational outcome while mitigating with a power system. The modern quality power culture requirements in terms of daily usage have been revised drastically in the recent past. The traditional systems use a non-dynamic type controller device, whereas modern power system require dynamic one. The dynamic controller are designed by using power electronic components such as SCR, MOSFET, IGBT, GTO, Power BJT etc. Due Moreover, dynamic controllers can operate in either absorbing or delivering power modes to/from a system. The modern Power Systems being dynamic can utilise reactive power to useful energy. The present work is an effort to emphasize the usefulness of reactive power in order to minimize power loss. SSSC controller of FACTS device have been utilised to estimate reactive paper usage during loading. The results were very much encouraging. The parameters enhanced with this technique were found to be Bus Voltage, flow of Real Power and Reactive Power.

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“…In general, transmission and distribution are in terms referred to as vertical integration utilities. However, with the available capacitive power plants and renewable resources, an ordinary human being can generate electric power and can transfer the electric power to the grid that has made the reconstruction process more significant (Kumar and Kumar, 2020).…”

Section: Introductionmentioning

confidence: 99%

Congestion management in deregulated power system using adaptive moth swarm optimization

Ramaporselvi¹,

Geetha²

2021

COMPEL

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Purpose The purpose of this paper is to enhance the line congestion and to minimize power loss. Transmission line congestion is considered the most acute trouble during the operation of the power system. Therefore, congestion management acts as an effective tool in using the available power without breaking the system hindrances or limitations. Design/methodology/approach Over the past few years, determining the optimal location and size of the devices have pinched a great deal of consideration. Numerous approaches have been established to mitigate the congestion rate, and this paper aims to enhance the line congestion and minimize power loss by determining the compensation rate and optimal location of a thyristor-switched capacitor (TCSC) using adaptive moth swarm optimization (AMSO) algorithm. Findings An AMSO algorithm uses the performances of moth flame and the chaotic local search-based shrinking scheme of the bacterial foraging optimization algorithm. The proposed AMSO approach is executed and discussed for the IEEE-30 bus system for determining the optimal location of single TCSC and dual TCSC. Originality/value In addition to this, the proposed algorithm is compared with various other existing approaches, and the results thus obtained provide better performances than other techniques.

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FACTS Devices Impact on Congestion Mitigation of Power System

Cited by 10 publications

References 16 publications

Congestion Management in Deregulated Power System using Adaptive Moth Swarm Optimization

Congestion Management in Deregulated Power System using Adaptive Moth Swarm Optimization

SSSC Controller a Pro-defensive and Preventive Approach for Power System Optimisation

Congestion management in deregulated power system using adaptive moth swarm optimization

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