A theoretical bilevel control scheme for power networks with large-scale penetration of distributed renewable resources

Kianoosh Boroojeni; M. Hadi Amini; Arash Nejadpak; S. S. Iyengar; Bakhtyar Hoseinzadeh; Claus Leth Bak

doi:10.1109/EIT.2016.7535293

A theoretical bilevel control scheme for power networks with large-scale penetration of distributed renewable resources

Kianoosh Boroojeni, M. Hadi Amini, Arash Nejadpak, S. S. Iyengar, Bakhtyar Hoseinzadeh, Claus Leth Bak

AAU Energy

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

56 Citations (Scopus)

Abstract

In this paper, we present a bilevel control framework to achieve a highly-reliable smart distribution network with large-scale penetration of distributed renewable resources (DRRs). We assume that the power distribution network consists of several residential/commercial communities. In the first level of the proposed control scheme, distributed community-level controllers are designed based on the stochastic model of demand and generation. These controllers utilize the local storage units and DRRs to maintain a certain level of reliability for the community. In order to formulate the residential demand and DRRs, we use the Gaussian white noise added to some periodic signals, formulated as a stochastic process. In the second level of the proposed control framework, we take the advantage of bulk generation units to improve the reliability by a global flow controller. In other words, we get help from a few number of bulk power plants in the grid to improve its reliability in the context of satisfying the residential demand with high probability. The global controller dispatches the available non-renewable power plants between communities to enhance the reliability of each community. Using our stochastic model, we obtain a theoretical low-threshold for the certainty of the demand satisfaction in the smart power distribution network.

Original language	English
Title of host publication	Proceedings of 2016 IEEE International Conference on Electro Information Technology (EIT)
Number of pages	6
Publisher	IEEE Press
Publication date	May 2016
Pages	510-515
Commissioning body	Carnegie Mellon University
ISBN (Electronic)	978-1-4673-9985-2
DOIs	https://doi.org/10.1109/EIT.2016.7535293
Publication status	Published - May 2016
Event	2016 IEEE International Conference on Electro Information Technology (EIT) - University of North Dakota and North Dakota State University, Grand Forks, North Dakota, United States Duration: 19 May 2016 → 21 May 2016 http://www.eit-conference.org/eit2016/

Conference

Conference	2016 IEEE International Conference on Electro Information Technology (EIT)
Location	University of North Dakota and North Dakota State University
Country/Territory	United States
City	Grand Forks, North Dakota
Period	19/05/2016 → 21/05/2016
Internet address	http://www.eit-conference.org/eit2016/

Keywords

Energy storage
Power system reliability
Reliability
Smart grids
Stochastic processes
White noise

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10.1109/EIT.2016.7535293

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Boroojeni, K., Amini, M. H., Nejadpak, A., Iyengar, S. S., Hoseinzadeh, B., & Bak, C. L. (2016). A theoretical bilevel control scheme for power networks with large-scale penetration of distributed renewable resources. In Proceedings of 2016 IEEE International Conference on Electro Information Technology (EIT) (pp. 510-515). IEEE Press. https://doi.org/10.1109/EIT.2016.7535293

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title = "A theoretical bilevel control scheme for power networks with large-scale penetration of distributed renewable resources",

abstract = "In this paper, we present a bilevel control framework to achieve a highly-reliable smart distribution network with large-scale penetration of distributed renewable resources (DRRs). We assume that the power distribution network consists of several residential/commercial communities. In the first level of the proposed control scheme, distributed community-level controllers are designed based on the stochastic model of demand and generation. These controllers utilize the local storage units and DRRs to maintain a certain level of reliability for the community. In order to formulate the residential demand and DRRs, we use the Gaussian white noise added to some periodic signals, formulated as a stochastic process. In the second level of the proposed control framework, we take the advantage of bulk generation units to improve the reliability by a global flow controller. In other words, we get help from a few number of bulk power plants in the grid to improve its reliability in the context of satisfying the residential demand with high probability. The global controller dispatches the available non-renewable power plants between communities to enhance the reliability of each community. Using our stochastic model, we obtain a theoretical low-threshold for the certainty of the demand satisfaction in the smart power distribution network.",

keywords = "Energy storage, Power system reliability, Reliability, Smart grids, Stochastic processes, White noise",

author = "Kianoosh Boroojeni and Amini, {M. Hadi} and Arash Nejadpak and Iyengar, {S. S.} and Bakhtyar Hoseinzadeh and Bak, {Claus Leth}",

year = "2016",

month = may,

doi = "10.1109/EIT.2016.7535293",

language = "English",

pages = "510--515",

booktitle = "Proceedings of 2016 IEEE International Conference on Electro Information Technology (EIT)",

publisher = "IEEE Press",

note = "2016 IEEE International Conference on Electro Information Technology (EIT), EIT 2016 ; Conference date: 19-05-2016 Through 21-05-2016",

url = "http://www.eit-conference.org/eit2016/",

}

Boroojeni, K, Amini, MH, Nejadpak, A, Iyengar, SS, Hoseinzadeh, B & Bak, CL 2016, A theoretical bilevel control scheme for power networks with large-scale penetration of distributed renewable resources. in Proceedings of 2016 IEEE International Conference on Electro Information Technology (EIT). IEEE Press, pp. 510-515, 2016 IEEE International Conference on Electro Information Technology (EIT), Grand Forks, North Dakota, United States, 19/05/2016. https://doi.org/10.1109/EIT.2016.7535293

A theoretical bilevel control scheme for power networks with large-scale penetration of distributed renewable resources. / Boroojeni, Kianoosh; Amini, M. Hadi; Nejadpak, Arash et al.
Proceedings of 2016 IEEE International Conference on Electro Information Technology (EIT). IEEE Press, 2016. p. 510-515.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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T1 - A theoretical bilevel control scheme for power networks with large-scale penetration of distributed renewable resources

AU - Boroojeni, Kianoosh

AU - Amini, M. Hadi

AU - Nejadpak, Arash

AU - Iyengar, S. S.

AU - Hoseinzadeh, Bakhtyar

AU - Bak, Claus Leth

PY - 2016/5

Y1 - 2016/5

N2 - In this paper, we present a bilevel control framework to achieve a highly-reliable smart distribution network with large-scale penetration of distributed renewable resources (DRRs). We assume that the power distribution network consists of several residential/commercial communities. In the first level of the proposed control scheme, distributed community-level controllers are designed based on the stochastic model of demand and generation. These controllers utilize the local storage units and DRRs to maintain a certain level of reliability for the community. In order to formulate the residential demand and DRRs, we use the Gaussian white noise added to some periodic signals, formulated as a stochastic process. In the second level of the proposed control framework, we take the advantage of bulk generation units to improve the reliability by a global flow controller. In other words, we get help from a few number of bulk power plants in the grid to improve its reliability in the context of satisfying the residential demand with high probability. The global controller dispatches the available non-renewable power plants between communities to enhance the reliability of each community. Using our stochastic model, we obtain a theoretical low-threshold for the certainty of the demand satisfaction in the smart power distribution network.

AB - In this paper, we present a bilevel control framework to achieve a highly-reliable smart distribution network with large-scale penetration of distributed renewable resources (DRRs). We assume that the power distribution network consists of several residential/commercial communities. In the first level of the proposed control scheme, distributed community-level controllers are designed based on the stochastic model of demand and generation. These controllers utilize the local storage units and DRRs to maintain a certain level of reliability for the community. In order to formulate the residential demand and DRRs, we use the Gaussian white noise added to some periodic signals, formulated as a stochastic process. In the second level of the proposed control framework, we take the advantage of bulk generation units to improve the reliability by a global flow controller. In other words, we get help from a few number of bulk power plants in the grid to improve its reliability in the context of satisfying the residential demand with high probability. The global controller dispatches the available non-renewable power plants between communities to enhance the reliability of each community. Using our stochastic model, we obtain a theoretical low-threshold for the certainty of the demand satisfaction in the smart power distribution network.

KW - Energy storage

KW - Power system reliability

KW - Reliability

KW - Smart grids

KW - Stochastic processes

KW - White noise

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DO - 10.1109/EIT.2016.7535293

M3 - Article in proceeding

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EP - 515

BT - Proceedings of 2016 IEEE International Conference on Electro Information Technology (EIT)

PB - IEEE Press

T2 - 2016 IEEE International Conference on Electro Information Technology (EIT)

Y2 - 19 May 2016 through 21 May 2016

ER -

A theoretical bilevel control scheme for power networks with large-scale penetration of distributed renewable resources

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