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Journal ArticleDOI

Residential load modeling for predicting distribution transformer load behavior, feeder load and cold load pickup

Serge Lefebvre, +1 more
- 01 May 2002 - 
- Vol. 24, Iss: 4, pp 285-293
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TLDR
In this article, a physically based model for computing the electric load on residential distribution feeders and on distribution transformers is presented, where the load is assumed to consist of electric space heating, electric water heating and other miscellaneous devices.
About
This article is published in International Journal of Electrical Power & Energy Systems.The article was published on 2002-05-01. It has received 46 citations till now. The article focuses on the topics: Load bank & Load balancing (electrical power).

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Citations
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Journal ArticleDOI

State Estimation and Control of Electric Loads to Manage Real-Time Energy Imbalance

TL;DR: In this paper, a look-ahead proportional controller broadcasts control signals to all TCLs, which always remain in their temperature deadband, and achieves power tracking RMS errors in the range of 0.26-9.3% of steady state aggregated power consumption.
Proceedings ArticleDOI

State estimation and control of electric loads to manage real-time energy imbalance

TL;DR: In this paper, a look-ahead proportional controller broadcasts control signals to all TCLs, which always remain in their temperature deadband, and achieves power tracking RMS errors in the range of 0.26-9.3% of steady state aggregated power consumption.
Journal ArticleDOI

Monte Carlo simulation of residential electricity demand for forecasting maximum demand on distribution networks

TL;DR: In this paper, a Monte Carlo simulation model of consumer demand taking into account the statistical spread of demand in each half hour using data sampled from a gamma distribution is presented, where the parameters of the gamma distribution are based on data metered at a number of residential properties fed by one transformer.
Journal ArticleDOI

Probabilistic characterisation of the aggregated residential load patterns

TL;DR: In this article, a comprehensive approach to the probabilistic characterisation of aggregated residential consumers supplied by the same feeder or substation, from the point of view of the electricity supplier, is presented.
Journal ArticleDOI

Demand-Side Management of Domestic Electric Water Heaters Using Approximate Dynamic Programming

TL;DR: This is the first work that uses the approximate dynamic programming techniques to solve the DEWH’s load management problem and results indicate that these techniques will minimize the energy consumed during load peak periods.
References
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Journal ArticleDOI

A bottom-up approach to residential load modeling

TL;DR: In this article, a model of electric residential end-use is proposed for establishing the load diagram of an area by a process of synthesis, following a bottom-up approach, allowing construction of the relative load shape of the area, starting from knowledge of its most relevant socioeconomic and demographic characteristics, unitary energy consumption and the load profiles of individual household appliances.
Journal ArticleDOI

Physically Based Modeling of Cold Load Pickup

TL;DR: In this paper, a general, physically based, probabilistic model of power system load has been developed for short-term prediction of system demand by composition, and accounts for lifestyle dependency and weather dependency as well as effects of other exogenous processes.
Journal ArticleDOI

A stochastic computer model for heating and cooling loads

TL;DR: In this article, the authors review the concept of demand-side management, particularly in regard to utility intervention into the setpoint adjustment of customers' thermostats for heating and cooling loads.
Journal ArticleDOI

Cold Load Pickup

TL;DR: In this paper, the authors provide a quantitative method for electric power utilities to predict the magnitude and duration of the peak demand following a power outage in cold weather, which is limited strictly to electrically heated homes.
Journal ArticleDOI

Development of a Monte Carlo based aggregate model for residential electric water heater loads

TL;DR: In this article, a model for a residential electric water heater load is developed using an energy flow analysis of the water heater tank, which is then used to assess the effectiveness of several demand-side management strategies.
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