Bottom-up Markov Chain Monte Carlo approach for scenario based residential load modelling with publicly available data

Nijhuis, Michiel; Gibescu, Madeleine; Cobben, Jfg Sjef

doi:10.1016/j.enbuild.2015.12.004

Cited by 60 publications

(38 citation statements)

References 29 publications

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“…The main difficulty with defining these injected currents is the determination of when and for how long a certain appliance in the household is switched on. To tackle this problem, a bottom-up approach is adopted to model the households appliances [10]. Subsequently, measured harmonic spectra of household appliances are used to obtain the model of the current injection of a household.…”

Section: Harmonic Injection Modelingmentioning

confidence: 99%

“…Since the occupancy plays a significant role in the electricity usage through the interactions between occupant and appliance, an improved version of techniques based on Markov chain Monte Carlo (MCMC) simulation is applied [10,12]. Allocating the appliances in a household can be completed with the database on the appliance ownership, the wealth level and the dwelling size [10,13].…”

Section: Harmonic Injection Modelingmentioning

confidence: 99%

“…As shown in [10], the occupancy can be modeled for the purpose of determining the energy consumption within a household with just two states: active (and at home) or inactive (sleeping, away from home). By applying logistic regression to the time use survey data [12], a transition probability matrix is constructed for week and weekend days, the time of day, the number and the age of the household occupants.…”

Section: Occupancy Modelingmentioning

confidence: 99%

“…In this paper, such a framework is proposed. The proposed framework builds on previous research on the modeling of the residential load [9,10] and the modeling of the harmonic sources [11]. With this framework, future harmonic impact studies can be performed; and not only the combined effect of many harmonic sources can be assessed, but also the time evolution of the level of harmonic distortion can be estimated.…”

Section: Introductionmentioning

confidence: 99%

“…Allocating the appliances in a household can be completed with the database on the appliance ownership, the wealth level and the dwelling size [10,13]. The harmonic spectra of different household appliances are either measured in the laboratory or collected from the PANDA database [14], so the harmonic emission level of a specific appliance under laboratory conditions is obtained.…”

Section: Harmonic Injection Modelingmentioning

confidence: 99%

See 4 more Smart Citations

Stochastic Residential Harmonic Source Modeling for Grid Impact Studies

Nijhuis

Ćuk

et al. 2017

Energies

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Abstract:With the introduction of more non-linear loads, e.g., compact fluorescent lamps, electric vehicles, photovoltaics, etc., the need to determine the harmonic impact of the residential load is rising, illustrated by the many studies performed on their harmonic impact. Traditionally, these studies are performed for a single new device and single penetration level, neglecting the harmonic interaction between new types of devices, as well as giving little information at which moment in time possible problems may arise. A composite approach to access the impact of harmonic sources on the distribution network is therefore proposed. This method combines a bottom-up stochastic modeling of the residential load with harmonic measurement data and harmonic load-flows all based on a scenario analysis. The method is validated with measurement data and shows a good prediction of the current level of harmonics in a residential neighborhood for the current situation. To demonstrate the applicability of the proposed method, case studies are performed on the IEEE European Low Voltage Test Feeder. These case studies show a marked difference between applying individual device-based models and a composite modeling approach, demonstrating why the proposed approach is an adequate method for the determination of the impact of new devices on the harmonics.

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Section: Harmonic Injection Modelingmentioning

confidence: 99%

Section: Harmonic Injection Modelingmentioning

confidence: 99%

Section: Occupancy Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Harmonic Injection Modelingmentioning

confidence: 99%

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Stochastic Residential Harmonic Source Modeling for Grid Impact Studies

Nijhuis

Ćuk

et al. 2017

Energies

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Monitoring time‐varying residential load operation modes: an efficient signal disaggregation approach

Zhu

Zhou

et al. 2018

IEEJ Transactions Elec Engng

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There is growing interest in measuring residential infrastructures for obtaining more descriptive information about their power consumption so that the consumption custom can be optimized and the cost reduced. This study aims to develop an efficient signal disaggregation method associated with features of load curves as a way of measuring nonintrusively residential load operation modes. The mathematical model is built based on an optimal fitting idea. We modify the shuffled frog leaping optimization algorithm (SFLA) with brain storming mechanism to solve the multi‐extremum problem. The results suggest that the proposed method is able to (i) identify the working modes of appliances including the onset time and operation duration for long‐term operation, (ii) detect the case within a few appliances of the same type, (iii) decompose the instantaneous open state of domestic appliances. Therefore, our method can not only overcome the traditional limitations of nonintrusive load monitoring but also be seamlessly applied to the current electric grid. Finally, we discuss potential application areas. The outcomes from this study would promote the progression of the smart grid. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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