Lossy DC Power Flow

Simpson-Porco, John W.

doi:10.1109/tpwrs.2017.2749042

Cited by 21 publications

(9 citation statements)

References 32 publications

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“…This flexibility makes the analytic solution appealing when multiple scenarios, such as those arising due to renewable injection types and locations, are considered. This implies all the variance calculations in (11) can be performed based on only single model, without retraining. This will save a lot of computational efforts compared to the MCS while preserving the accuracy and nonlinearity capturing advantages of MCS.…”

Section: B Dominant Influencer Of Voltage Fluctuation (Divf)mentioning

confidence: 99%

“…DCPF has been utilised for numerous applications like optimal power flow (OPF) [8], market studies [9], and risk assessment [10] etc. The DCPF is mostly studied for transmission system as it relies on r/x-based approximation and does not model the voltage magnitude [11]. Recently various other linear power flow (LPF) methods have been proposed.…”

Section: Introductionmentioning

confidence: 99%

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A Framework for Analytical Power Flow Solution Using Gaussian Process Learning

Pareek

Nguyen

2022

IEEE Trans. Sustain. Energy

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This paper proposes a novel analytical solution framework for power flow (PF) solutions in active distribution networks under uncertainty. We use the Gaussian process (GP) regression to learn node voltage as a function of effective bus load or negative net-injection vector. The proposed approximation is valid over a subspace of load and provides an understanding of system behavior under uncertainty via GP interpretability. We interpret the relative variation extent of different node voltages using the quality ratio (QR) defined based on the hyper-parameters of GP. Further, the application of the proposed framework in calculation of voltage limit violation probability and dominant voltage influencer ranking has also been presented. Through test simulations for 33-bus and 56-bus systems, the proposed method achieves low mean absolute error (MAE) of order E-05 (pu) in voltage magnitude and E-04 (rad) in angle. The discussions on salient features of the proposed method and comparative analysis with large-scale Monte-Carlo simulations, and state-ofart methods is also presented for the proposed applications.

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Section: B Dominant Influencer Of Voltage Fluctuation (Divf)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Framework for Analytical Power Flow Solution Using Gaussian Process Learning

Pareek

Nguyen

2022

IEEE Trans. Sustain. Energy

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“…T denotes the node power-branch parameter coupling term. As a result, if the branch reactive power Q ij is given, the phase angle of node voltage can be obtained by solving (15), with the impedance of parallel branch and branch being considered.…”

Section: A Classical DC Power Flow Algorithmmentioning

confidence: 99%

“…In order to extend the applicable range of the DC power flow algorithm, a modified DC power flow algorithm based on the equivalent load model of network loss is proposed in [14], [15], where the branch network loss is allocated and iterated until the equivalent load of each node converges. It is worthwhile to point out that the simplified condition could reduce the calculation accuracy of the classical DC power flow.…”

Section: Introductionmentioning

confidence: 99%

A General Fast Power Flow Algorithm for Transmission and Distribution Networks

Wang

Wu²,

et al. 2020

IEEE Access

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Fast power flow calculation is generally required in static security analysis and power system optimal planning. And the classical DC power flow algorithm, due to its simple mathematical model, linearized equation, and rapid solving speed, is widely utilized. However, the classical DC power flow algorithm has been found to be only suitable for high voltage transmission networks with small branch impedance ratio. To address this issue, a general fast power flow algorithm is proposed. Utilizing this method, the classical DC power flow algorithm is firstly performed to obtain the initial values of the branch active power flow. And the nodal voltage angles are then calculated by the established node-injected reactive power equations. Secondly, through the identical transformation and approximate treatment of the node power flow equation, a voltage offset calculation method for PQ nodes is proposed. Finally, the active power flow and active power loss can be calculated based on the corrected phase angles and node voltages. Simulation studies on standard IEEE power systems, such as the IEEE 33-bus and IEEE 118-bus systems, etc., were conducted by the presented algorithm, compared with those by the back/forward sweep, classical DC power flow and Newton-Raphson algorithms. It is indicated that, the proposed power flow algorithm has the superiority in satisfactory calculation speed and non-sensitivity on the network impedance ratio. INDEX TERMS Power flow algorithm, transmission and distribution network, high impedance ratio of branch, bus voltage amplitude deviation.

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“…(2) Some publications have focused on control strategies. Some other publications were mainly focused on the power flow analysis of the VSC-MTDC system, and a series of specified algorithms based on Newton's classic method can be proposed to calculate the power flow for the VSC-MTDC under master-slave control strategy or DC voltage droop control strategy [20][21][22]. However, some other control strategies for VSC-MTDC have not been fully discussed, and unified calculation algorithms suitable for various control strategies has not been proposed.…”

Section: Introductionmentioning

confidence: 99%

Universal Power Flow Algorithm for Bipolar Multi-Terminal VSC-HVDC

Zhou

Zhang

et al. 2020

Energies

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An effective and accurate power flow algorithm provides control references for active power dispatch and initial steady state operating points, used for stability analysis, short-circuit calculations, and electromagnetic transient simulations, which is not only a fundamental precondition to analyze the system operating conditions, but also the basis to improve the accuracy of power flow and DC voltage control of the multi-terminal voltage source converter-based high voltage direct current (VSC-HVDC). This paper proposes a nodal voltage-based universal steady-state power flow algorithm for the newly-developed bipolar multi-terminal VSC-HVDC (VSC-MTDC). Firstly, as the positive-pole and negative-pole DC network of the bipolar VSC-MTDC can be operated individually, a bipolar power flow alternating iterative method is proposed here to obtain the positive/negative-pole DC network power flow. Secondly, a series of nodal equivalent methods involving various control strategies are proposed for the universal power flow algorithm. Then the detailed calculation procedure and a general MATLAB(TM) program for the universal power flow algorithm is presented. A typical 4-terminal bipolar VSC-MTDC system was built in the PSCAD/EMTDC to verify the validity of the proposed algorithm, and the results are discussed here. Moreover, the calculation results of more complex bipolar VSC-MTDC systems under different operating conditions, employing the proposed universal power flow algorithm, are presented to illustrate its universality and efficiency.

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Lossy DC Power Flow

Cited by 21 publications

References 32 publications

A Framework for Analytical Power Flow Solution Using Gaussian Process Learning

A Framework for Analytical Power Flow Solution Using Gaussian Process Learning

A General Fast Power Flow Algorithm for Transmission and Distribution Networks

Universal Power Flow Algorithm for Bipolar Multi-Terminal VSC-HVDC

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