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Load Flow Estimation in a Transmission Network. / Krylatov, Alexander; Zakharov, Victor; Tuovinen, Tero.

Optimization Models and Methods for Equilibrium Traffic Assignment. Cham : Springer Nature, 2020. p. 205-228 (Springer Tracts on Transportation and Traffic; Vol. 15).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

Harvard

Krylatov, A, Zakharov, V & Tuovinen, T 2020, Load Flow Estimation in a Transmission Network. in Optimization Models and Methods for Equilibrium Traffic Assignment. Springer Tracts on Transportation and Traffic, vol. 15, Springer Nature, Cham, pp. 205-228. https://doi.org/10.1007/978-3-030-34102-2_9

APA

Krylatov, A., Zakharov, V., & Tuovinen, T. (2020). Load Flow Estimation in a Transmission Network. In Optimization Models and Methods for Equilibrium Traffic Assignment (pp. 205-228). (Springer Tracts on Transportation and Traffic; Vol. 15). Springer Nature. https://doi.org/10.1007/978-3-030-34102-2_9

Vancouver

Krylatov A, Zakharov V, Tuovinen T. Load Flow Estimation in a Transmission Network. In Optimization Models and Methods for Equilibrium Traffic Assignment. Cham: Springer Nature. 2020. p. 205-228. (Springer Tracts on Transportation and Traffic). https://doi.org/10.1007/978-3-030-34102-2_9

Author

Krylatov, Alexander ; Zakharov, Victor ; Tuovinen, Tero. / Load Flow Estimation in a Transmission Network. Optimization Models and Methods for Equilibrium Traffic Assignment. Cham : Springer Nature, 2020. pp. 205-228 (Springer Tracts on Transportation and Traffic).

BibTeX

@inbook{4fb6c0c1bb8944d689d68938dede605a,
title = "Load Flow Estimation in a Transmission Network",
abstract = "This chapter includes an investigation on a power smart grid with multiple suppliers and consumers. The first section is devoted to the corresponding model description. The power load flow estimation is presented in a form equivalent to a link-flow traffic assignment problem. The second section concentrates on the competition of consumers, while the third section concentrates on the cooperation of suppliers. From mathematical perspectives, both defined models of economic interaction imply bi-level optimization problems. Thus efficient computational algorithms are required. The last section is devoted to pricing mechanisms for transmission networks with multiple suppliers and consumers. Possible techniques for the arising complex problem of transmission cost sharing are proposed.",
author = "Alexander Krylatov and Victor Zakharov and Tero Tuovinen",
note = "Krylatov A., Zakharov V., Tuovinen T. (2020) Load Flow Estimation in a Transmission Network. In: Optimization Models and Methods for Equilibrium Traffic Assignment. Springer Tracts on Transportation and Traffic, vol 15. Springer, Cham",
year = "2020",
month = jan,
day = "1",
doi = "10.1007/978-3-030-34102-2_9",
language = "English",
isbn = "9783030341015",
series = "Springer Tracts on Transportation and Traffic",
publisher = "Springer Nature",
pages = "205--228",
booktitle = "Optimization Models and Methods for Equilibrium Traffic Assignment",
address = "Germany",

}

RIS

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T1 - Load Flow Estimation in a Transmission Network

AU - Krylatov, Alexander

AU - Zakharov, Victor

AU - Tuovinen, Tero

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PY - 2020/1/1

Y1 - 2020/1/1

N2 - This chapter includes an investigation on a power smart grid with multiple suppliers and consumers. The first section is devoted to the corresponding model description. The power load flow estimation is presented in a form equivalent to a link-flow traffic assignment problem. The second section concentrates on the competition of consumers, while the third section concentrates on the cooperation of suppliers. From mathematical perspectives, both defined models of economic interaction imply bi-level optimization problems. Thus efficient computational algorithms are required. The last section is devoted to pricing mechanisms for transmission networks with multiple suppliers and consumers. Possible techniques for the arising complex problem of transmission cost sharing are proposed.

AB - This chapter includes an investigation on a power smart grid with multiple suppliers and consumers. The first section is devoted to the corresponding model description. The power load flow estimation is presented in a form equivalent to a link-flow traffic assignment problem. The second section concentrates on the competition of consumers, while the third section concentrates on the cooperation of suppliers. From mathematical perspectives, both defined models of economic interaction imply bi-level optimization problems. Thus efficient computational algorithms are required. The last section is devoted to pricing mechanisms for transmission networks with multiple suppliers and consumers. Possible techniques for the arising complex problem of transmission cost sharing are proposed.

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M3 - Chapter

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T3 - Springer Tracts on Transportation and Traffic

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BT - Optimization Models and Methods for Equilibrium Traffic Assignment

PB - Springer Nature

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ER -

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