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Abstract

The interest in hybrid energy systems that coordinate multiple commodities simultaneously on residential level (e.g., electricity, heat, gas) is increasing. Such systems can benefit from the synergy between energy carriers to improve the overall energy system efficiency. However, dependencies between commodities make optimisation of such a system generally hard. This paper presents a planning-based multi-commodity energy management system that scales linearly with the number of commodities and connected devices. We apply our approach to balance the three phases in a low voltage grid while charging a fleet of electric vehicles. Simulation results show that our approach is capable of balancing the three phases in this network to enhance the delivered power quality. This balancing also results in a decrease of distribution losses of up to 41.2% compared to a control strategy that does not consider multiple commodities and phase balancing.
Original languageEnglish
Number of pages6
DOIs
Publication statusPublished - 28 Sep 2017

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Energy management systems
Power quality
Electric vehicles
Electricity
Planning
Electric potential
Gases
Hot Temperature

Keywords

  • load management
  • demand-side management
  • phase balancing
  • multi-commodity energy grids

Cite this

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title = "Multi-commodity support in profile steering",
abstract = "The interest in hybrid energy systems that coordinate multiple commodities simultaneously on residential level (e.g., electricity, heat, gas) is increasing. Such systems can benefit from the synergy between energy carriers to improve the overall energy system efficiency. However, dependencies between commodities make optimisation of such a system generally hard. This paper presents a planning-based multi-commodity energy management system that scales linearly with the number of commodities and connected devices. We apply our approach to balance the three phases in a low voltage grid while charging a fleet of electric vehicles. Simulation results show that our approach is capable of balancing the three phases in this network to enhance the delivered power quality. This balancing also results in a decrease of distribution losses of up to 41.2{\%} compared to a control strategy that does not consider multiple commodities and phase balancing.",
keywords = "load management, demand-side management, phase balancing, multi-commodity energy grids",
author = "{Schoot Uiterkamp}, {Martijn H. H.} and Gerwin Hoogsteen and Gerards, {Marco E. T.} and Hurink, {Johann L.} and Smit, {Gerardus Johannes Maria}",
year = "2017",
month = "9",
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doi = "10.1109/ISGTEurope.2017.8260190",
language = "English",

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T1 - Multi-commodity support in profile steering

AU - Schoot Uiterkamp, Martijn H. H.

AU - Hoogsteen, Gerwin

AU - Gerards, Marco E. T.

AU - Hurink, Johann L.

AU - Smit, Gerardus Johannes Maria

PY - 2017/9/28

Y1 - 2017/9/28

N2 - The interest in hybrid energy systems that coordinate multiple commodities simultaneously on residential level (e.g., electricity, heat, gas) is increasing. Such systems can benefit from the synergy between energy carriers to improve the overall energy system efficiency. However, dependencies between commodities make optimisation of such a system generally hard. This paper presents a planning-based multi-commodity energy management system that scales linearly with the number of commodities and connected devices. We apply our approach to balance the three phases in a low voltage grid while charging a fleet of electric vehicles. Simulation results show that our approach is capable of balancing the three phases in this network to enhance the delivered power quality. This balancing also results in a decrease of distribution losses of up to 41.2% compared to a control strategy that does not consider multiple commodities and phase balancing.

AB - The interest in hybrid energy systems that coordinate multiple commodities simultaneously on residential level (e.g., electricity, heat, gas) is increasing. Such systems can benefit from the synergy between energy carriers to improve the overall energy system efficiency. However, dependencies between commodities make optimisation of such a system generally hard. This paper presents a planning-based multi-commodity energy management system that scales linearly with the number of commodities and connected devices. We apply our approach to balance the three phases in a low voltage grid while charging a fleet of electric vehicles. Simulation results show that our approach is capable of balancing the three phases in this network to enhance the delivered power quality. This balancing also results in a decrease of distribution losses of up to 41.2% compared to a control strategy that does not consider multiple commodities and phase balancing.

KW - load management

KW - demand-side management

KW - phase balancing

KW - multi-commodity energy grids

U2 - 10.1109/ISGTEurope.2017.8260190

DO - 10.1109/ISGTEurope.2017.8260190

M3 - Paper

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