Demand response planning for day-ahead energy management of CHP-equipped consumers

Mahshid Javidsharifi; Hamoun Pourroshanfekr Arabani; Tamas Kerekes; Dezso Sera; Josep M. Guerrero

doi:10.1109/GPECOM55404.2022.9815740

Demand response planning for day-ahead energy management of CHP-equipped consumers

Mahshid Javidsharifi, Hamoun Pourroshanfekr Arabani, Tamas Kerekes, Dezso Sera, Josep M. Guerrero

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

Abstract

Due to the growing importance of demand response program (DRP) in demand side management in power systems as well as increasing employment of combined heat and power (CHP) units, the issue of energy management of large consumers equipped with CHP units in the presence of a DRP based on the day-ahead electricity price has been studied in this paper. To solve the considered non-convex and non-linear energy management problem, particle swarm optimization (PSO) algorithm has been used. Also, given the importance of the effect of uncertainties on the planning and operation of units in the energy management, the unscented transformation (UT) method is used for modeling uncertainties related to electricity prices and the amount of electric and thermal loads. In the applied DRP, the consumers can shift a percentage of their load from higher-price hours to lower-price hours to reduce operating costs. No load-shedding is considered in the problem formulation. The consumer energy system consists of two CHP units, one electrical unit, one thermal unit, and a heat buffer tank (HBT) for the storage of surplus thermal energy. The consumer can also buy electricity from the main electricity grid to supply the demanded load based on the price of electricity. The simulation results show that the application of the suggested DRP reduces the operational cost.

Original language	English
Title of host publication	Proceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	461-467
Number of pages	7
ISBN (Electronic)	9781665469258
DOIs	https://doi.org/10.1109/GPECOM55404.2022.9815740
Publication status	Published - 2022
Event	4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022 - Cappadocia, Turkey Duration: 2022 Jun 14 → 2022 Jun 17

Publication series

Name	Proceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022

Conference

Conference	4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022
Country/Territory	Turkey
City	Cappadocia
Period	2022/06/14 → 2022/06/17

Bibliographical note

Funding Information:
This research was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 812991. J. M. Guerrero was supported by VILLUM FONDEN under the VILLUM Investigator Grant (no. 25920). 978-1-6654-6925-8/22/$31.00 ©2022 IEEE

Funding Information:
This research was funded by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 812991. J. M. Guerrero was supported by VILLUM FONDEN under the VILLUM Investigator Grant (no. 25920).

Publisher Copyright:
© 2022 IEEE.

Subject classification (UKÄ)

Energy Systems

Free keywords

combined heat and power unit
demand response
energy management
PSO algorithm
uncertainty
UT method

Access to Document

10.1109/GPECOM55404.2022.9815740

Cite this

Javidsharifi, M., Pourroshanfekr Arabani, H., Kerekes, T., Sera, D., & Guerrero, J. M. (2022). Demand response planning for day-ahead energy management of CHP-equipped consumers. In Proceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022 (pp. 461-467). (Proceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GPECOM55404.2022.9815740

Javidsharifi, Mahshid ; Pourroshanfekr Arabani, Hamoun ; Kerekes, Tamas et al. / Demand response planning for day-ahead energy management of CHP-equipped consumers. Proceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022. IEEE - Institute of Electrical and Electronics Engineers Inc., 2022. pp. 461-467 (Proceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022).

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title = "Demand response planning for day-ahead energy management of CHP-equipped consumers",

abstract = "Due to the growing importance of demand response program (DRP) in demand side management in power systems as well as increasing employment of combined heat and power (CHP) units, the issue of energy management of large consumers equipped with CHP units in the presence of a DRP based on the day-ahead electricity price has been studied in this paper. To solve the considered non-convex and non-linear energy management problem, particle swarm optimization (PSO) algorithm has been used. Also, given the importance of the effect of uncertainties on the planning and operation of units in the energy management, the unscented transformation (UT) method is used for modeling uncertainties related to electricity prices and the amount of electric and thermal loads. In the applied DRP, the consumers can shift a percentage of their load from higher-price hours to lower-price hours to reduce operating costs. No load-shedding is considered in the problem formulation. The consumer energy system consists of two CHP units, one electrical unit, one thermal unit, and a heat buffer tank (HBT) for the storage of surplus thermal energy. The consumer can also buy electricity from the main electricity grid to supply the demanded load based on the price of electricity. The simulation results show that the application of the suggested DRP reduces the operational cost.",

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author = "Mahshid Javidsharifi and {Pourroshanfekr Arabani}, Hamoun and Tamas Kerekes and Dezso Sera and Guerrero, {Josep M.}",

note = "Funding Information: This research was funded by the European Union{\textquoteright}s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 812991. J. M. Guerrero was supported by VILLUM FONDEN under the VILLUM Investigator Grant (no. 25920). 978-1-6654-6925-8/22/$31.00 {\textcopyright}2022 IEEE Funding Information: This research was funded by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 812991. J. M. Guerrero was supported by VILLUM FONDEN under the VILLUM Investigator Grant (no. 25920). Publisher Copyright: {\textcopyright} 2022 IEEE.; 4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022 ; Conference date: 14-06-2022 Through 17-06-2022",

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Javidsharifi, M, Pourroshanfekr Arabani, H, Kerekes, T, Sera, D & Guerrero, JM 2022, Demand response planning for day-ahead energy management of CHP-equipped consumers. in Proceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022. Proceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022, IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 461-467, 4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022, Cappadocia, Turkey, 2022/06/14. https://doi.org/10.1109/GPECOM55404.2022.9815740

Demand response planning for day-ahead energy management of CHP-equipped consumers. / Javidsharifi, Mahshid; Pourroshanfekr Arabani, Hamoun; Kerekes, Tamas et al.
Proceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022. IEEE - Institute of Electrical and Electronics Engineers Inc., 2022. p. 461-467 (Proceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022).

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

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N1 - Funding Information: This research was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 812991. J. M. Guerrero was supported by VILLUM FONDEN under the VILLUM Investigator Grant (no. 25920). 978-1-6654-6925-8/22/$31.00 ©2022 IEEE Funding Information: This research was funded by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 812991. J. M. Guerrero was supported by VILLUM FONDEN under the VILLUM Investigator Grant (no. 25920). Publisher Copyright: © 2022 IEEE.

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AB - Due to the growing importance of demand response program (DRP) in demand side management in power systems as well as increasing employment of combined heat and power (CHP) units, the issue of energy management of large consumers equipped with CHP units in the presence of a DRP based on the day-ahead electricity price has been studied in this paper. To solve the considered non-convex and non-linear energy management problem, particle swarm optimization (PSO) algorithm has been used. Also, given the importance of the effect of uncertainties on the planning and operation of units in the energy management, the unscented transformation (UT) method is used for modeling uncertainties related to electricity prices and the amount of electric and thermal loads. In the applied DRP, the consumers can shift a percentage of their load from higher-price hours to lower-price hours to reduce operating costs. No load-shedding is considered in the problem formulation. The consumer energy system consists of two CHP units, one electrical unit, one thermal unit, and a heat buffer tank (HBT) for the storage of surplus thermal energy. The consumer can also buy electricity from the main electricity grid to supply the demanded load based on the price of electricity. The simulation results show that the application of the suggested DRP reduces the operational cost.

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Javidsharifi M, Pourroshanfekr Arabani H, Kerekes T, Sera D, Guerrero JM. Demand response planning for day-ahead energy management of CHP-equipped consumers. In Proceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022. IEEE - Institute of Electrical and Electronics Engineers Inc. 2022. p. 461-467. (Proceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022). doi: 10.1109/GPECOM55404.2022.9815740

Demand response planning for day-ahead energy management of CHP-equipped consumers

Abstract

Publication series

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Bibliographical note

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Free keywords

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