Load Modeling For Power System Requirement and Capability Assessment

Orji, Uzoma A.; Sievenpiper, Bartholomew; Gerhard, Katherine; Leeb, Steven B.; Doerry, Norbert; Kirtley, James L.; McCoy, Timothy J.

doi:10.1109/tpwrs.2014.2348531

Cited by 13 publications

(7 citation statements)

References 15 publications

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“…Therefore, a stochastic load analysis will be more appropriate for the power system design and this method is described in a design data sheet (DDS) [15]- [17]. The important impact of performing stochastic load analysis is the determination of the minimum, mean, and maximum loads, what is a challenge.…”

Section: A Challenges In Power System Designmentioning

confidence: 99%

“…Optimization methods were applied using a classifierguided sampling [23] or heuristic solution Generic Algorithm [22] based on power demand calculated using load factors or the stochastic approach with Monte Carlo simulation. An important approach for power system dimensioning is load modeling using behavioral models of loads for smaller power systems [17]. All these methods shows that there is scope for power system optimization and adjustment of a designed peak power; this motivates to analyze real power requirements of a vessel applying measurements.…”

Section: A Challenges In Power System Designmentioning

confidence: 99%

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Data-Driven Methodology for the Analysis of Operational Profile and the Quantification of Electrical Power Variability on Marine Vessels

Swider

Pedersen

2019

IEEE Trans. Power Syst.

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Measurements from the on-board systems of marine vessels are increasingly available for data analysis and are growing in importance as the ship industry enters a phase of digitalization. The purposes of the data analysis from vessels in operation include the verification of the power system design in general and improvement of the electrical power load analysis (EPLA) in particular. In this paper, we show how to extract valuable information from the data-driven operational profile analysis, which reveals the real power demand, and how the vessel was operated. Using the real power range analysis, we emphasize the significance of rarely occurring high power demands, which are critical for power system design and optimization. We propose a methodology for the quantification of variability in the generated power, which explains the tails of probability distributions of a power signal based on signal decomposition. The proposed methodology makes use of the data and it can facilitate the selection of the optimal size, number, and configuration of generators or batteries when designing new power systems. Measurements from a data collection system are used to demonstrate the methodology for dynamic positioning (DP) mode of the operation of a platform supply vessel (PSV). Index Terms-electric power load analysis (EPLA), power variability quantification, load variability, power system design.

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Section: A Challenges In Power System Designmentioning

confidence: 99%

Section: A Challenges In Power System Designmentioning

confidence: 99%

Data-Driven Methodology for the Analysis of Operational Profile and the Quantification of Electrical Power Variability on Marine Vessels

Swider

Pedersen

2019

IEEE Trans. Power Syst.

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“…The capability assessment of a generation-constrained (naval) power system has been assessed through probabilistic representation of power system loads [1]. Conservation voltage reduction has been discussed by using a time-varying stochastic version of the exponential (static) load model [2].…”

Section: Introductionmentioning

confidence: 99%

“…Most of the existing load modelling studies concentrate on mathematical optimization/ parameter estimation on deterministic/ stochastic [1,7,8] or transfer function [9] or AI (artificial intelligence) based [10] approach. A stochastic representation of electrical loads has been presented though pdf (probability density function) of probabilistic uniform, normal and exponential distributions [1].…”

Section: Introductionmentioning

confidence: 99%

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A step-by-step data processing guideline for load model development based on field measurements

Hasan

Milanović

Turner

et al. 2015

2015 IEEE Eindhoven PowerTech

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Abstract-Load modelling attracts renewed interests these days in maintaining peak load conditions, supplying new types of loads and accommodating more renewable generation into electricity networks. This work describes real measurement data acquisition and step-by-step signal processing for developing aggregate load models at 11kV and 6.6kV level. Challenges in analyzing real measurement data are highlighted and issues to improve measurement-based load modelling are discussed. Load models at 15 substations from a UK distribution network are presented with subsequent model parameters. These load models will provide an insight to the operational flexibility, network resilience and management requirements of the measurement sites and related up-and-downstream substations.Index Terms--Distribution system, load-voltage relationship, measurement-based load model, operational flexibility.

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Assessing uncertainty in the optimal placement of distributed generators in radial distribution feeders

Gautam,

Khadka,

Malla

et al. 2024

Electric Power Systems Research

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Load Modeling For Power System Requirement and Capability Assessment

Cited by 13 publications

References 15 publications

Data-Driven Methodology for the Analysis of Operational Profile and the Quantification of Electrical Power Variability on Marine Vessels

Data-Driven Methodology for the Analysis of Operational Profile and the Quantification of Electrical Power Variability on Marine Vessels

A step-by-step data processing guideline for load model development based on field measurements

Assessing uncertainty in the optimal placement of distributed generators in radial distribution feeders

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