Available transfer capability calculations

Ejebe, G.C.; Tong, Jiarong; Waight, J.G.; Frame, J.G.; Wang, X.; Tinney, W.F.

doi:10.1109/59.736300

Cited by 265 publications

(103 citation statements)

References 5 publications

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“…Here, this method is explained thoroughly. Other two methods are not considered as they are rarely used for calculation of ATC [6]- [8] [10]. The most sensitive zones have been identified as the union of real and reactive line flow sensitivity indices [11].…”

Section: Methods For Atc Calculationmentioning

confidence: 99%

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Assessment of Available Transfer Capability for Congestion Management in Restructured Electrical Power Network for Competent Operation

Makwana¹,

Joshi²,

Solanki³

2014

JPEE

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Congestion is the prime cause of problems, due to open access of power system. The AC Power Transmission Congestion Distribution factor (PTCDF) is suitable for computing change in any line quantity for a change in MW bilateral transaction. The proposed PTCDF method is more accurate as compared to the DC power distribution factor. With PTCDF ATC can be calculated. After calculating ATC it is possible to know the valid multiple transaction on power system. With the help of ATC calculations congestion problem can be solved in restructured electrical power network. The paper presents the method for calculating ATC using PTCDF.

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Section: Methods For Atc Calculationmentioning

confidence: 99%

“…In this scenario, congestion management (with ATC) becomes an important issue [6]- [8]. Real-time transmission congestion can be defined as the operating condition in which there is not enough transmission capability to implement all the traded transactions all together due to some unexpected contingencies.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Available Transfer Capability for Congestion Management in Restructured Electrical Power Network for Competent Operation

Makwana¹,

Joshi²,

Solanki³

2014

JPEE

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“…The time to time computations of available transfer capability (ATC) becomes a significant and challenging issue in the development of open power markets across the world [1]. To solve this issue using the existing conventional methods such as Repeated Power Flow (RPF) [2], Continuation Power Flow (CPF), Transfer based Security Constrained Optimal Power Flow (TSCOPF) [3], Optimal Power Flow (OPF) ,Network Response method [4], Rated System Path method [5], Linear ATC (LATC) method [6], ATC by Comprehensive method [7] and DC Power Flow Method [8], cannot be trusted in smooth operation of the power system because these are depend on mathematical equations [9 ].…”

Section: Introductionmentioning

confidence: 99%

Available Transfer Capability Computations in the Indian Southern E.H.V Power System Using Intelligent Techniques

Gopikrishna¹

2014

IJRET

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This paper presents three methods for computing the available transfer capability (ATC). One method is the conventional method known as continuation repeated power flow (CRPF) and other two are the intelligent techniques known as radial basis function neural network (RBFNN), basic adaptive neuro fuzzy inference system (ANFIS). In these two intelligent techniques, the basic ANFIS works with a multiple input single output (MISO) and it is modified as multiple input multiple output (MIMO) ANFIS using the proposed MIMO ANFIS. The main intension of this proposed method is to utilise the significant features of ANFIS with respect to the multiple outputs, as the basic ANFIS has been proved as the best intelligent techniques in the modelling of any application, but it has a disadvantage of single output and this drawback will be overcome using the proposed MIMO ANFIS. In this paper, the latest Indian southern region extra high voltage (SREHV) 72-bus system considered as test system to obtain the ATC computations using three methods. The ATC computations at desired buses are obtained with and without contingencies and compared the conventional ATC computations with the intelligent techniques. The obtained results are scrupulously verified with different test patterns and observed that the accuracy of proposed method is proved as the best as compared to the other methods for computing ATC. In this way, this paper shows a better way to compute ATC for the different open power market system

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“…This analysis involves two sub problems, the problem of assessment of TTC and the problem of enhancement of TTC. The problem of assessment of TTC is done using either DC or AC power transfer distribution factors [8][9][10] or Repeated Power Flow (RPF) [11] or CPF (Continuation Power Flow) [12,13] or OPF (Optimal Power Flow) [14] based methods.…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of GA, DE, PSO and SA Approaches in Enhancement of Total Transfer Capability using FACTS Devices

Chandrasekar¹,

Ramana²

2012

Journal of Electrical Engineering and Technology

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-In this paper the performance of meta-heuristics algorithms such as GA (Genetic Algorithm), DE (Differential Evolution), PSO (Particle Swarm Optimization) and SA (Simulated Annealing) for the problem of TTC enhancement using FACTS devices are compared. In addition to that in the assessment procedure of TTC two novel techniques are proposed. First the optimization algorithm which is used for TTC enhancement is simultaneously used for assessment of TTC. Second the power flow is done using Broyden -Shamanski method with Sherman -Morrison formula (BSS). The proposed approach is tested on WSCC 9 bus, IEEE 118 bus test systems and the results are compared with the conventional Repeated Power Flow (RPF) using Newton Raphson (NR) method which indicates that the proposed method provides better TTC enhancement and computational efficacy than the conventional procedure.

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Available transfer capability calculations

Cited by 265 publications

References 5 publications

Assessment of Available Transfer Capability for Congestion Management in Restructured Electrical Power Network for Competent Operation

Assessment of Available Transfer Capability for Congestion Management in Restructured Electrical Power Network for Competent Operation

Available Transfer Capability Computations in the Indian Southern E.H.V Power System Using Intelligent Techniques

Performance Comparison of GA, DE, PSO and SA Approaches in Enhancement of Total Transfer Capability using FACTS Devices

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