New approach for power profile determination of remote controlled electrical consumers
[Display omitted] •New estimation method is developed for determination of consumers’ power profiles.•Reliable recognition method is used to determine effects of ripple control.•Energy utilization efficiency is increased using estimated controlled power.•Theoretical method of energy scheduling optim...
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Published in | Measurement : journal of the International Measurement Confederation Vol. 50; pp. 381 - 389 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.04.2014
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Subjects | |
Online Access | Get full text |
ISSN | 0263-2241 1873-412X |
DOI | 10.1016/j.measurement.2013.06.004 |
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Abstract | [Display omitted]
•New estimation method is developed for determination of consumers’ power profiles.•Reliable recognition method is used to determine effects of ripple control.•Energy utilization efficiency is increased using estimated controlled power.•Theoretical method of energy scheduling optimization was proven by practical tests.
Optimal use of electrical energy and efficiency of the consumption are the two most important questions in today’s industrial energy management. Suppliers buy energy from power plants and transmit it to the customers. Power consumed is the input for the end users, thus the supplier has no real impact on it. The supplier is subject to the stochastic changes in energy utilization and has limited possibilities to control power consumption; nevertheless, the supplier has an interest in keeping this power level as smooth as possible. One of the suppliers’ compensation tools is the integration of remote-controlled heating equipment, such as electrical boilers and heaters that can be switched on by the supplier in low tariff periods. The aim of this project was to develop reliable methods for more efficient utilization of a centralized ripple control system (CRCS), through controlled storage and water heaters. This paper summarizes the results of the research on optimization of power consumption by CRCS. |
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AbstractList | [Display omitted]
•New estimation method is developed for determination of consumers’ power profiles.•Reliable recognition method is used to determine effects of ripple control.•Energy utilization efficiency is increased using estimated controlled power.•Theoretical method of energy scheduling optimization was proven by practical tests.
Optimal use of electrical energy and efficiency of the consumption are the two most important questions in today’s industrial energy management. Suppliers buy energy from power plants and transmit it to the customers. Power consumed is the input for the end users, thus the supplier has no real impact on it. The supplier is subject to the stochastic changes in energy utilization and has limited possibilities to control power consumption; nevertheless, the supplier has an interest in keeping this power level as smooth as possible. One of the suppliers’ compensation tools is the integration of remote-controlled heating equipment, such as electrical boilers and heaters that can be switched on by the supplier in low tariff periods. The aim of this project was to develop reliable methods for more efficient utilization of a centralized ripple control system (CRCS), through controlled storage and water heaters. This paper summarizes the results of the research on optimization of power consumption by CRCS. |
Author | Unhauzer, Attila Szarka, Angéla Váradiné |
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Cites_doi | 10.1109/59.32476 10.1016/0263-2241(92)90035-3 10.1016/0263-2241(90)90046-9 10.1016/j.measurement.2013.04.015 10.1016/j.ijepes.2011.05.002 10.1016/j.epsr.2009.07.013 10.1016/S0378-7796(96)01114-5 10.1016/S0263-2241(02)00005-2 10.1109/59.801957 10.1016/j.epsr.2011.08.016 10.1016/0263-2241(94)90050-7 10.1016/0378-7796(93)90016-8 10.1016/S0263-2241(03)00025-3 10.1109/60.815105 10.1016/0928-7655(94)90011-6 10.1016/S0378-7796(00)00124-3 10.1016/j.measurement.2009.08.008 10.1109/59.544650 10.1016/j.measurement.2004.03.005 10.1049/piee.1965.0320 10.1109/59.221259 10.1016/j.measurement.2012.05.025 10.1016/j.epsr.2010.06.013 10.1016/j.ijforecast.2009.11.001 10.1016/0378-7796(89)90031-X 10.1016/j.measurement.2012.03.036 |
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Keywords | Centralized ripple control Demand side management Energy efficiency Power control on electrical network Energy management |
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