Abstract

Many Demand Side Management (DSM) approaches use energy prices as steering signals. This paper shows that such steering signals may result in power quality problems and high losses. As an alternative, this paper proposes to use desired (e.g., flat) power profiles as steering signals and presents an efficient scheduling algorithm that can follow desired power profiles. This paper investigates the complexity of price and profile steering, and presents an algorithm for profile steering. The evaluation of this algorithm studies the results of a best possible uniform pricing and profile steering for a case of 121 houses, each with an electrical vehicle of which the power consumption can be controlled and shifted in time. In contrast to the other evaluated approaches, our profile steering algorithm results in a much flatter profile and keeps the voltage between 220 V and 235 V at each node. It reduces distribution losses by 57% compared to no control, and by 48% compared to uniform pricing.
Original languageUndefined
Title of host publicationPowerTech, 2015 IEEE Eindhoven
Place of PublicationUSA
PublisherIEEE Power & Energy Society
Pages457759:1-457759:6
Number of pages6
ISBN (Print)not assigned
DOIs
StatePublished - 29 Jun 2015

Publication series

Name
PublisherIEEE Power & Energy Society

Fingerprint

Power quality
Scheduling algorithms
Costs
Electric power utilization

Keywords

  • EWI-26247
  • METIS-312706
  • IR-97136

Cite this

Gerards, M. E. T., Toersche, H., Hoogsteen, G., van der Klauw, T., Hurink, J. L., & Smit, G. J. M. (2015). Demand side management using profile steering. In PowerTech, 2015 IEEE Eindhoven (pp. 457759:1-457759:6). USA: IEEE Power & Energy Society. DOI: 10.1109/PTC.2015.7232328

Gerards, Marco Egbertus Theodorus; Toersche, Hermen; Hoogsteen, Gerwin; van der Klauw, Thijs; Hurink, Johann L.; Smit, Gerardus Johannes Maria / Demand side management using profile steering.

PowerTech, 2015 IEEE Eindhoven. USA : IEEE Power & Energy Society, 2015. p. 457759:1-457759:6.

Research output: Scientific - peer-reviewConference contribution

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abstract = "Many Demand Side Management (DSM) approaches use energy prices as steering signals. This paper shows that such steering signals may result in power quality problems and high losses. As an alternative, this paper proposes to use desired (e.g., flat) power profiles as steering signals and presents an efficient scheduling algorithm that can follow desired power profiles. This paper investigates the complexity of price and profile steering, and presents an algorithm for profile steering. The evaluation of this algorithm studies the results of a best possible uniform pricing and profile steering for a case of 121 houses, each with an electrical vehicle of which the power consumption can be controlled and shifted in time. In contrast to the other evaluated approaches, our profile steering algorithm results in a much flatter profile and keeps the voltage between 220 V and 235 V at each node. It reduces distribution losses by 57% compared to no control, and by 48% compared to uniform pricing.",
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Gerards, MET, Toersche, H, Hoogsteen, G, van der Klauw, T, Hurink, JL & Smit, GJM 2015, Demand side management using profile steering. in PowerTech, 2015 IEEE Eindhoven. IEEE Power & Energy Society, USA, pp. 457759:1-457759:6. DOI: 10.1109/PTC.2015.7232328

Demand side management using profile steering. / Gerards, Marco Egbertus Theodorus; Toersche, Hermen; Hoogsteen, Gerwin; van der Klauw, Thijs; Hurink, Johann L.; Smit, Gerardus Johannes Maria.

PowerTech, 2015 IEEE Eindhoven. USA : IEEE Power & Energy Society, 2015. p. 457759:1-457759:6.

Research output: Scientific - peer-reviewConference contribution

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AU - Gerards,Marco Egbertus Theodorus

AU - Toersche,Hermen

AU - Hoogsteen,Gerwin

AU - van der Klauw,Thijs

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AU - Smit,Gerardus Johannes Maria

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N2 - Many Demand Side Management (DSM) approaches use energy prices as steering signals. This paper shows that such steering signals may result in power quality problems and high losses. As an alternative, this paper proposes to use desired (e.g., flat) power profiles as steering signals and presents an efficient scheduling algorithm that can follow desired power profiles. This paper investigates the complexity of price and profile steering, and presents an algorithm for profile steering. The evaluation of this algorithm studies the results of a best possible uniform pricing and profile steering for a case of 121 houses, each with an electrical vehicle of which the power consumption can be controlled and shifted in time. In contrast to the other evaluated approaches, our profile steering algorithm results in a much flatter profile and keeps the voltage between 220 V and 235 V at each node. It reduces distribution losses by 57% compared to no control, and by 48% compared to uniform pricing.

AB - Many Demand Side Management (DSM) approaches use energy prices as steering signals. This paper shows that such steering signals may result in power quality problems and high losses. As an alternative, this paper proposes to use desired (e.g., flat) power profiles as steering signals and presents an efficient scheduling algorithm that can follow desired power profiles. This paper investigates the complexity of price and profile steering, and presents an algorithm for profile steering. The evaluation of this algorithm studies the results of a best possible uniform pricing and profile steering for a case of 121 houses, each with an electrical vehicle of which the power consumption can be controlled and shifted in time. In contrast to the other evaluated approaches, our profile steering algorithm results in a much flatter profile and keeps the voltage between 220 V and 235 V at each node. It reduces distribution losses by 57% compared to no control, and by 48% compared to uniform pricing.

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Gerards MET, Toersche H, Hoogsteen G, van der Klauw T, Hurink JL, Smit GJM. Demand side management using profile steering. In PowerTech, 2015 IEEE Eindhoven. USA: IEEE Power & Energy Society. 2015. p. 457759:1-457759:6. Available from, DOI: 10.1109/PTC.2015.7232328