Modelling and Aggregation of Loads in Flexible Power Networks – Scope and Status of the Work of CIGRE WG C4.605

Yamashita, Koji; Djokić, Saša Ž.; Matevosyan, Julija; Resende, F. O.; Korunović, Lidija M.; Zhang, Dong; Milanović, Jovica V.

doi:10.3182/20120902-4-fr-2032.00072

Cited by 47 publications

(26 citation statements)

References 4 publications

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“…Its key advantage is that it can be computed instantly once all the system parameter values for the pre-fault, fault-on and post-fault systems have been collected. This feature of stability metrics could be of use due to system dynamics becoming more unpredictable from the changing nature of loads [3] and generation [39]- [41] under the constraint of limited power flow through transmission lines. Particularly, investigations on the effect of low inertia on power system stability [25], [42] can potentially benefit and this is an area of future work.…”

Section: Discussionmentioning

confidence: 99%

“…For example, the gradual substitution of power generated from large, synchronous machines by asynchronous machines or power fed via power electronic interfaces (e.g. wind farms, solar PV and HVDC interconnections to other systems), in addition to the changing nature of electrical loads [3]. Previous work in the literature [4] has investigated the L. Roberts, A. Champneys and M. di Bernardo are in the Department of Engineering Mathematics, University of Bristol, UK.…”

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confidence: 99%

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Analytical Approximations of Critical Clearing Time for Parametric Analysis of Power System Transient Stability

Roberts

Champneys

Bell

et al. 2015

IEEE J. Emerg. Sel. Topics Circuits Syst.

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Abstract-An analytic approximation for the critical clearing time (CCT) metric is derived from direct methods for power system stability. The formula has been designed to incorporate as many features of transient stability analysis as possible such as different fault locations and different post-fault network states. The purpose of this metric is to analyse trends in stability (in terms of CCT) of power systems under the variation of a system parameter. The performance of this metric to measure stability trends is demonstrated on an aggregated power network, the so-called two machine infinite bus network, by varying load parameters in the full bus admittance matrix using numerical continuation. The metric is compared to two other expressions for the CCT which incorporate additional non-linearities present in the model.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Analytical Approximations of Critical Clearing Time for Parametric Analysis of Power System Transient Stability

Roberts

Champneys

Bell

et al. 2015

IEEE J. Emerg. Sel. Topics Circuits Syst.

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“…This is based on an international survey on load modelling among WG members between 2010 to 2012 which revealed that the constant real and reactive power load model (constant P/Q) is the most widely used load model for steady state power system studies [23]. A simplified version of the exponential load model with neglected load dependence on frequency is used in this paper:…”

Section: Load Modelsmentioning

confidence: 99%

Probabilistic ranking of critical parameters affecting voltage stability in network with renewable generation

Zhu

Milanović

2016

2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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Abstract-This paper introduces a probabilistic method for the ranking of influential uncertain parameters for the accurate assessment of power system voltage stability. Future power systems will be highly interconnected and complex with a variety of uncertain parameters such as the injection of intermittent renewable energy resources, the adoption of flexible hierarchical control structures and the appearance of new types of loads. Identifying and ranking the uncertain parameters are important in future power system operations since they can provide referable indexes for system operators to achieve better system management with less monitoring. This paper presents the probabilistic method for the identification and ranking of critical uncertain parameters. A modified version of the 68 bus NETS-NYPS test system is used in this study for simulation studies. The effects of uncertain parameters are modelled with Monte-Carlo method in the environments of MATLAB and DIgSILENT PowerFactory. The performances of the 'nose-point area' of P-V Curves for system load buses are used as indexes when evaluating their sensibility for specific uncertainties.Index Terms--power system dynamic analysis, probability distribution, sensitivity analysis, uncertain parameters, voltage stability.

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“…Load modeling is a process of estimating a power consumption of a typical infrastructure, it can be of commercial, agricultural, industrial or residential infrastructure [1][2][3][4][5]. Whereas, identification means the process of developing a mathematical relation between different parameters of interest of a dynamic system obtained by either observation, prior knowledge or both [6,7].…”

Section: Introductionmentioning

confidence: 99%

Load modeling techniques in distribution networks: a review

Mohammed

Abdulkarim

Abubakar

et al. 2020

J. Appl. Mat. Tech.

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Power system operation and control required models of generators, lines and loads to be accurately estimated, this is to enable operators make a reliable decision on the system. Generators and lines models are so far considered accurate, while load models are considered perplexing due to invention of new types of loads, distribution system are transforming from passive to active. Future distribution systems are desired to be smart and for a network to be smart the system as to be fully and accurately represented. Penetration of renewable energy and application of power electronic devices as well as participation of active customers in distribution systems make traditional methods of load modeling absolute. Accurate load modeling is required to address the new challenges evolving in the task of power system operation, control and stability studies. It is also an interest of power system researchers globally to realize Smart Networks (SNs), in which accurate load models are required. This work described a review of techniques and approaches for load modeling from traditional methods to the state of art in the area. In addition, gaps in the literature as well as research directions are also pointed out.

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Modelling and Aggregation of Loads in Flexible Power Networks – Scope and Status of the Work of CIGRE WG C4.605

Cited by 47 publications

References 4 publications

Analytical Approximations of Critical Clearing Time for Parametric Analysis of Power System Transient Stability

Analytical Approximations of Critical Clearing Time for Parametric Analysis of Power System Transient Stability

Probabilistic ranking of critical parameters affecting voltage stability in network with renewable generation

Load modeling techniques in distribution networks: a review

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