Application of Power Flow Sensitivity Analysis and PTDF for Determination of ATC

Ghawghawe, N. D.; Thakre, K.L.

doi:10.1109/pedes.2006.344304

Cited by 24 publications

(12 citation statements)

References 16 publications

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“…However DC power flow cannot deal with other limiting factors. Distribution factors based on DC or AC power flow methods were proposed for calculating ATC in (Flueck, Chiang, & Shah, 1996;Ilic, Yoon, & Dept, 1997;Gisin, B.S, M.V., & Mitsche, 1999;Li & Liu, 2002;Venkatesh, R, & Prasad, 2004;Ghawghawe, Thakre, & L, 2006). Because of the relative ease, coupled with the mild computational burden involved in computing these factors, they have found widespread application in the industry (Hamoud, 2000).…”

Section: Review Of Previous Work On Deterministic Methodsmentioning

confidence: 99%

Available Transfer Capability Calculation

Hojabri¹,

Hizam²

2011

Applications of MATLAB in Science and Engineering

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Section: Review Of Previous Work On Deterministic Methodsmentioning

confidence: 99%

Available Transfer Capability Calculation

Hojabri¹,

Hizam²

2011

Applications of MATLAB in Science and Engineering

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“…As there is no (European) standard guideline for determining this security margin, we apply the heuristic formula of the German TSOs as also shown in (3) [29]. The calculation of the TTC zz′ is complex and requires detailed information on future network conditions, generation and load patterns and cross-border flows [30,31]. On the basis of this information, we start with computing the base case exchange (BCE) between the two market zones.…”

Section: Determination Of Ntcsmentioning

confidence: 99%

Impacts of renewables generation and demand patterns on net transfer capacity: implications for effectiveness of market splitting in Germany

Bucksteeg

Trepper

2015

IET Generation, Transmission & Distribution

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For the further development of an integrated European electricity market, congestion management mechanisms are one of the major market design issues. Against the background of increasing generation from renewables and resulting congestions, an efficient management of network congestions is gaining importance especially in Germany. Introducing nodal pricing as the first best mechanism is not considered to be realistic for Germany in the nearby future. Yet the splitting of the German electricity market into several market zones will also improve congestion management. A key issue in the so-called market splitting is the determination of the net transfer capacity (NTC) between the market zones as it determines the effectiveness of market splitting as congestion management mechanism. The authors therefore propose an integrated approach to incorporate the effects of renewables feed-in, load patterns and cross-border flows on NTCs. On the basis of results of a European power market model they specify typical hours using a clustering approach. Subsequently, a DC security constrained optimal power flow model is used to calculate situation-dependent NTCs. They conclude that the obtained NTCs strongly depend on renewables feed-in and that this effect has to be considered when modelling alternative congestion management mechanisms such as market splitting.

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“…Only those that are elements of the column space fulfill Kirchhoff's mesh law and may have an impact on the voltage vector. With the help of the Singular Value Decomposition (6) the column space, and thus the set of line current combinations that can really occur, can be determined (6) The matrices and are a set of orthonormal base vectors spanning the domain and co-domain of . These base vectors are mutually linked by the elements of which are the singular values of .…”

Section: Principle Network Modelmentioning

confidence: 99%

Linear constraints for remaining transfer capability allocation

Krause

Lehnhoff

Rehtanz

2010

2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

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A trend is emerging towards the activation of distribution networks, which have only been passive until now. The main purpose is to use the existing infrastructure more efficiently. Due to the vast number of low and medium voltage networks this can only be achieved with autonomous decentralized grid monitoring and usage management systems. The most sophisticated task is the autonomous determination of remaining transfer capability. The authors wish to contribute a novel approach for solving this problem based on the online approximation of operational constraints in the domain of complex nodal power.Index Terms-Power system, loadability limit, loadability surface, operational constraints, thermal limit I. NOMENCLATURE Number of nodes, Number of lines, , Actual and base-case real-valued active power flow on line between node and Real-valued rated active power flow on line between node and node , , Actual, base-case and increment complexvalued line current on line between node and Real-valued rated current of line between node and , , Actual, base-case and increment complexvalued vector of nodal power , , Normal vectors of limiting hyperplanes in different domains Orthogonal vector of limiting hyperplane in the domain of complex nodal power O. , , , Relative distances of limiting hyperplanes to the origin in different domains , , Nodal admittance matrix, its elements and line admittance matrix , Complex-valued nodal voltage and power , , Vectors of nodal voltages and their increments , , Vector of line currents and their increments , , Result matrices of Singular Value Decomposition Jacobian matrix at expansion point , Real and imaginary part of , Real and imaginary part of Pseudo inverse of , Number of sampling points and its index variable , Start and end node of a given line II. INTRODUCTIONHE ongoing trend towards higher mean distances between load an generation centers, as well as the wish to exploit the transfer capabilities of the existing infrastructure more efficiently, lead to both transmission networks and distribution networks being operated closer to their operational limits. On transmission network level the use of market-based allocation mechanisms in power plant dispatching introduce the need for a more precise representation of the network constraints usable within market mechanisms. Although the actual relationships are of a non-linear nature, the market mechanisms usually require the constraints to be formulated in a linear fashion. This has been addressed with several approaches, of which the ATC calculation and use PTDFs with linear restrictions are the most frequently used [4]-[9]. More sophisticated approaches are based on the localization of feasibility boundaries, but suffer from a highly increased computational complexity [1], impeding the ex-ante application to determine the whole set of allowable grid usage patterns.

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Application of Power Flow Sensitivity Analysis and PTDF for Determination of ATC

Cited by 24 publications

References 16 publications

Available Transfer Capability Calculation

Available Transfer Capability Calculation

Impacts of renewables generation and demand patterns on net transfer capacity: implications for effectiveness of market splitting in Germany

Linear constraints for remaining transfer capability allocation

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