ATC determination with FACTS devices using PTDFs approach for multi-transactions in competitive electricity markets

Kumar, Ashwani; Kumar, J. Senthil

doi:10.1016/j.ijepes.2012.07.050

Cited by 32 publications

(10 citation statements)

References 23 publications

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“…Considering a system with n buses and m branches, interval line flow can be calculated according to [20] […”

Section: Interval Line Flow Calculation Methods For Fast Contingency Smentioning

confidence: 99%

An interval-based contingency selection approach considering uncertainty

Xu¹,

Gu²,

Luo³

et al. 2016

Turk J Elec Eng & Comp Sci

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Static security assessment is affected by uncertainties of load flow distributions introduced by renewable sources. A fast contingency selection approach based on interval theory is proposed in this paper. Firstly, an interval line active flow calculation algorithm is developed to reduce conservation in application of interval mathematics in line flow calculation. Then a novel interval comparison method based on Bayesian probability theory is applied in interval index comparison to give the relative severity information of contingencies. Finally, an approximately consistent ranking method is utilized in contingency ranking to rank screened contingencies. Numerical studies on several IEEE standard test systems and two practical provincial power grids in China under different load and generation conditions have proved that the proposed approach is computationally light and highly accurate under different uncertainties.

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“…Considering a system with n buses and m branches, interval line flow can be calculated according to [20] […”

Section: Interval Line Flow Calculation Methods For Fast Contingency Smentioning

confidence: 99%

An interval-based contingency selection approach considering uncertainty

Xu¹,

Gu²,

Luo³

et al. 2016

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

show abstract

“…Various methods are devised to investigate their types and locations in the network to improve ATC. Heuristic techniques like Hybrid Particle Swarm Optimization(PSO) used to optimally place multi-type FACTS devices for enhancing power transfer capability [11,12], a dynamic model of Unified Power Flow Controller (UPFC) is developed to improve the power transfer capability in [13], Real-code Genetic Algorithm used as optimization tool to determine the location and control parameters of Thyristor Controlled Series Compensator (TCSC) and Static VAR Compensator(SVC) for ATC enhancement in [14], Multi-type FACTS devices, are optimally sized and located simultaneously for TTC enhancement and improving line congestion through the harmony search algorithm in (HSA) [15], DC load flow based exhaustive analysis of maximum load increase is proposed for Static Synchronous Series Compemsator (SSSC) placement to increase ATC to its maximum in [16], sensitivity analysis based Static Synchronous Compensator(STATCOM) placement for ATC improvement [17], PTDF based locations are selected for the FACTS devices viz. STATCOM, SSSC, and UPFC, which are formulated in optimal power flow problem with an objective function of loss minimization to increase the transmission capability in [18].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Power Network for Line Reactance Variation to Improve Total Transmission Capacity

Ullah

Gawlik²,

Pálenský

2016

Energies

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Abstract:The increasing growth in power demand and the penetration of renewable distributed generations in competitive electricity market demands large and flexible capacity from the transmission grid to reduce transmission bottlenecks. The bottlenecks cause transmission congestion, reliability problems, restrict competition, and limit the maximum dispatch of low cost generations in the network. The electricity system requires efficient utilization of the current transmission capability to improve the Available Transfer Capability (ATC). To improve the ATC, power flow among the lines can be managed by using Flexible AC Transmission System (FACTS) devices as power flow controllers, which alter the parameters of power lines. It is important to place FACTS devices on suitable lines to vary the reactance for improving Total Transmission Capacity (TTC) of the network and provide flexibility in the power flow. In this paper a transmission network is analyzed based on line parameters variation to improve TTC of the interconnected system. Lines are selected for placing FACTS devices based on real power flow Performance Index (PI) sensitivity factors. TTC is computed using the Repeated Power Flow (RPF) method using the constraints of lines thermal limits, bus voltage limits and generator limits. The reactance of suitable lines, selected on the basis of PI sensitivity factors are changed to divert the power flow to other lines with enough transfer capacity available. The improvement of TTC using line reactance variation is demonstrated with three IEEE test systems with multi-area networks. The results show the variation of the selected lines' reactance in improving TTC for all the test networks with defined contingency cases.

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“…The techniques used to obtain the ATC can be classified as one step [2][3][4][5][6] and iterative [7][8][9] method. An ac-PTDF method for calculation of ATC is proposed in [5].…”

Section: Introductionmentioning

confidence: 99%

“…A Continuation Power Flow is used in [8] and ATC is calculated only between certain nodes with predetermined optimal FACTS devices location. After the determination of optimal FACTS devices location, ATC was calculated based on the PTDF's [9]. This paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Algorithm for Calculating Available Transfer Capability

Šošić¹,

Skokljev²

2013

Journal of Electrical Engineering

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The paper presents an evolutionary algorithm for calculating available transfer capability (ATC). ATC is a measure of the transfer capability remaining in the physical transmission network for further commercial activity over and above already committed uses. In this paper, MATLAB software is used to determine the ATC between any bus in deregulated power systems without violating system constraints such as thermal, voltage, and stability constraints. The algorithm is applied on IEEE 5 bus system and on IEEE 30 bus system.

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ATC determination with FACTS devices using PTDFs approach for multi-transactions in competitive electricity markets

Cited by 32 publications

References 23 publications

An interval-based contingency selection approach considering uncertainty

An interval-based contingency selection approach considering uncertainty

Analysis of Power Network for Line Reactance Variation to Improve Total Transmission Capacity

Evolutionary Algorithm for Calculating Available Transfer Capability

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