Static load modeling based on field measurements

Carneiro, Aurea S.; Araujo, Lais F.; Pereira, J.L.R.; Garcia, P.A.N.; Melo, Igor D.; Amaral, Marcelo Batista do

doi:10.1109/ptc.2017.7981230

Cited by 13 publications

(13 citation statements)

References 13 publications

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“…In [8], a multi-state load model is developed for distribution system analysis. In [9], a measurement-based method is developed to estimate polynomial as well as exponential load models. In [10], [11], a measurement-based load model is developed for voltage stability analysis.…”

Section: A Related Workmentioning

confidence: 99%

“…. , n. The special case when (9) does not hold will be discussed in Section IV-B. The load models of the form in (8) can provide additional equations that can be combined with the equations in (1) and (2) to obtain the unknowns that we identified in (5).…”

Section: B the Second Set Of Equations: Load Modelmentioning

confidence: 99%

“…Here,n ≤ n denotes the number of individual loads that do satisfy the inequality in (9). Let us also defineĉ as a subset of c distinct load configurations in which all individual loads that are turned on do satisfy the inequality in (9). Of course, we haveĉ ≤ c. We can now apply Theorem 2 ton andĉ and similarly achieveĉ min = 2n.…”

Section: B Sequential Load Modelingmentioning

confidence: 99%

“…7(a) and (b) with respect to the feeder-aggregated load parameters n p and n q , respectively. Here, comparison is done with the method in [9]. We can make three key observations.…”

Section: B Performance Comparisonmentioning

confidence: 99%

“…We can make three key observations. First, one can use the feeder-aggregated load modeling method in [9] no sooner than time t 2 , because time t 2 is the first time in this case study that an upstream voltage event occurs. In contrast, the method that is proposed in this paper can be used as early as time t 1 , i.e., even before an upstream voltage event occurs.…”

Section: B Performance Comparisonmentioning

confidence: 99%

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Individual Load Model Parameter Estimation in Distribution Systems Using Load Switching Events

Shahsavari

Farajollahi

Mohsenian‐Rad

2019

IEEE Trans. Power Syst.

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There currently exists a mature literature on modeling the aggregate load of a distribution feeder by making use of measurements at its feeder-head at substation. The primary application of such feeder-aggregated load models is in sub-transmission or transmission system analysis. However, there is a growing need in practice also to model each individual load across the feeder. If available, such individual load models have applications in power distribution system analysis, e.g., to better integrate distributed energy resources or to improve power quality and reliability. Motivated by this observation, in this paper, we propose a new method for individual load modeling in power distribution systems. It works by using the measurements only at the feeder-head. It takes an innovative approach to analyzing the load switching events across the distribution feeder itself, instead of or in addition to relying on upstream voltage events that are commonly used in feeder-aggregated load modeling. By tracking the downstream load switching events, the proposed method can make a robust estimation of the ZIP load model parameters for all individual loads. The proposed method is examined on small illustrative test-feeders as well as the IEEE 33-bus test system under various operating scenarios. The adverse impact of errors in measurements and system parameters are also investigated on the performance of the developed load modeling method.Index Terms-Load modeling, distribution system analysis, load switching events, ZIP model, nonlinear parameter estimation. V Voltage phasor measured at feeder-head S, P, Q Power measured at feeder-head V i

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Section: A Related Workmentioning

confidence: 99%

Section: B the Second Set Of Equations: Load Modelmentioning

confidence: 99%

Section: B Sequential Load Modelingmentioning

confidence: 99%

“…7(a) and (b) with respect to the feeder-aggregated load parameters n p and n q , respectively. Here, comparison is done with the method in [9]. We can make three key observations.…”

Section: B Performance Comparisonmentioning

confidence: 99%

Section: B Performance Comparisonmentioning

confidence: 99%

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Individual Load Model Parameter Estimation in Distribution Systems Using Load Switching Events

Shahsavari

Farajollahi

Mohsenian‐Rad

2019

IEEE Trans. Power Syst.

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Photovoltaic penetration in isolated thermoelectric power plants in Brazil: Power regulation and specific consumption aspects

Cavalcante

Costa

Almeida

et al. 2021

International Journal of Electrical Power & Energy Systems

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Three-Phase-Measurement-Based Load Modeling Technique Using Unbalanced Fault Data

Han¹

2020

IEEE Access

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This study presents a load modeling technique using unsymmetrical fault data. Typically, three-phase balanced fault data are prerequisite for load modeling; however, the existing technique utilizes only positive sequence data. Obtaining symmetrical data from a real power system is very difficult as three-phase faults are very rare. In this study, I aimed to improve existing methods designed for estimating load parameters from three-phase symmetrical fault data via load modeling of unsymmetrical faults. The proposed method corrects the existing algorithm using positive sequence data along with three-phase data, namely phases-A, -B, and -C. The equation for each phase of the load model is obtained and subsequently used for load parameter estimation. The load model parameters are estimated using the data obtained from phases-A, -B, and -C, unlike in existing load models that use only positive sequence data. Unsymmetrical faults occur more frequently in a system than symmetrical faults, and numerous opportunities for load model parameter estimation are available. Applying this algorithm to the three-phase data collected using phasor measurement unit-like data acquisition devices is expected to considerably increase both the parameter estimation accuracy and frequency during load modeling parameter estimation in the future.INDEX TERMS Load modeling, measurement-based approach, parameter estimation, three-phase data, unbalanced disturbances, asymmetrical fault.

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Static load modeling based on field measurements

Cited by 13 publications

References 13 publications

Individual Load Model Parameter Estimation in Distribution Systems Using Load Switching Events

Individual Load Model Parameter Estimation in Distribution Systems Using Load Switching Events

Photovoltaic penetration in isolated thermoelectric power plants in Brazil: Power regulation and specific consumption aspects

Three-Phase-Measurement-Based Load Modeling Technique Using Unbalanced Fault Data

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