Peak Demand Shaving Based on Solar and Load Forecasting at Port of Gävle: 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

P. Gopalakrishnan; P. Alikhani; H. Shafique; L. B. Tjernberg; J. Hallinder; A. Engstrom; Y. He

doi:10.1109/PMAPS53380.2022.9810648

Peak Demand Shaving Based on Solar and Load Forecasting at Port of Gävle: 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

P. Gopalakrishnan, P. Alikhani, H. Shafique, L. B. Tjernberg, J. Hallinder, A. Engstrom, Y. He

extern

Research output: Contribution to conference › Paper › Academic

Abstract

Solar energy is considered as one of the most promising solutions to prevent climate change, and optimal utilization of solar energy contributes to reducing dependence on non-renewable energy sources. Distributed generation can help support the delivery of clean and reliable power to consumers. In this paper, an Energy Management System (EMS) is developed along with load and Photovoltaic (PV) generation forecasting to perform peak shaving of electricity demand. The results from the proposed method are implemented in a real case study, in Port of Gävle in Sweden. Total revenue generated from services of peak-shaving and frequency regulation is maximum in the scenario considering high PV generation and high consumption on a selected experimental day in July. The results show that PV-battery storage systems are effective options to increase the integration of renewable energies in the grid, flatten the load, and achieve stabilized operation.

Original language	English
Pages	1-5
Number of pages	5
DOIs	https://doi.org/10.1109/PMAPS53380.2022.9810648
Publication status	Published - Jun 2022
Externally published	Yes
Event	2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) - Manchester, United Kingdom Duration: 12 Jun 2022 → 15 Jun 2022

Conference

Conference	2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
Country/Territory	United Kingdom
City	Manchester
Period	12/06/22 → 15/06/22

Bibliographical note

Funding Information:
V. ACKNOWLEDGEMENT The project has been funded by the SweGRIDS national research center. The authors would like to appreciate Gävle Hamn AB for their support and providing data, information for the study.

Publisher Copyright:
© 2022 IEEE.

Keywords

XGBoost
electricity generation
forecast
frequency regulation
peak shaving

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PMAPS53380.2022.9810648

Cite this

Gopalakrishnan, P., Alikhani, P., Shafique, H., Tjernberg, L. B., Hallinder, J., Engstrom, A., & He, Y. (2022). Peak Demand Shaving Based on Solar and Load Forecasting at Port of Gävle: 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). 1-5. Paper presented at 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Manchester, United Kingdom. https://doi.org/10.1109/PMAPS53380.2022.9810648

Gopalakrishnan, P. ; Alikhani, P. ; Shafique, H. et al. / Peak Demand Shaving Based on Solar and Load Forecasting at Port of Gävle : 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). Paper presented at 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Manchester, United Kingdom.5 p.

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title = "Peak Demand Shaving Based on Solar and Load Forecasting at Port of G{\"a}vle: 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)",

abstract = "Solar energy is considered as one of the most promising solutions to prevent climate change, and optimal utilization of solar energy contributes to reducing dependence on non-renewable energy sources. Distributed generation can help support the delivery of clean and reliable power to consumers. In this paper, an Energy Management System (EMS) is developed along with load and Photovoltaic (PV) generation forecasting to perform peak shaving of electricity demand. The results from the proposed method are implemented in a real case study, in Port of G{\"a}vle in Sweden. Total revenue generated from services of peak-shaving and frequency regulation is maximum in the scenario considering high PV generation and high consumption on a selected experimental day in July. The results show that PV-battery storage systems are effective options to increase the integration of renewable energies in the grid, flatten the load, and achieve stabilized operation.",

keywords = "XGBoost, electricity generation, forecast, frequency regulation, peak shaving",

author = "P. Gopalakrishnan and P. Alikhani and H. Shafique and Tjernberg, {L. B.} and J. Hallinder and A. Engstrom and Y. He",

note = "Funding Information: V. ACKNOWLEDGEMENT The project has been funded by the SweGRIDS national research center. The authors would like to appreciate G{\"a}vle Hamn AB for their support and providing data, information for the study. Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) ; Conference date: 12-06-2022 Through 15-06-2022",

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doi = "10.1109/PMAPS53380.2022.9810648",

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Gopalakrishnan, P, Alikhani, P, Shafique, H, Tjernberg, LB, Hallinder, J, Engstrom, A & He, Y 2022, 'Peak Demand Shaving Based on Solar and Load Forecasting at Port of Gävle: 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)', Paper presented at 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Manchester, United Kingdom, 12/06/22 - 15/06/22 pp. 1-5. https://doi.org/10.1109/PMAPS53380.2022.9810648

Peak Demand Shaving Based on Solar and Load Forecasting at Port of Gävle: 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). / Gopalakrishnan, P.; Alikhani, P.; Shafique, H. et al.
2022. 1-5 Paper presented at 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Manchester, United Kingdom.

Research output: Contribution to conference › Paper › Academic

TY - CONF

T1 - Peak Demand Shaving Based on Solar and Load Forecasting at Port of Gävle

T2 - 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

AU - Gopalakrishnan, P.

AU - Alikhani, P.

AU - Shafique, H.

AU - Tjernberg, L. B.

AU - Hallinder, J.

AU - Engstrom, A.

AU - He, Y.

N1 - Funding Information: V. ACKNOWLEDGEMENT The project has been funded by the SweGRIDS national research center. The authors would like to appreciate Gävle Hamn AB for their support and providing data, information for the study. Publisher Copyright: © 2022 IEEE.

PY - 2022/6

Y1 - 2022/6

N2 - Solar energy is considered as one of the most promising solutions to prevent climate change, and optimal utilization of solar energy contributes to reducing dependence on non-renewable energy sources. Distributed generation can help support the delivery of clean and reliable power to consumers. In this paper, an Energy Management System (EMS) is developed along with load and Photovoltaic (PV) generation forecasting to perform peak shaving of electricity demand. The results from the proposed method are implemented in a real case study, in Port of Gävle in Sweden. Total revenue generated from services of peak-shaving and frequency regulation is maximum in the scenario considering high PV generation and high consumption on a selected experimental day in July. The results show that PV-battery storage systems are effective options to increase the integration of renewable energies in the grid, flatten the load, and achieve stabilized operation.

AB - Solar energy is considered as one of the most promising solutions to prevent climate change, and optimal utilization of solar energy contributes to reducing dependence on non-renewable energy sources. Distributed generation can help support the delivery of clean and reliable power to consumers. In this paper, an Energy Management System (EMS) is developed along with load and Photovoltaic (PV) generation forecasting to perform peak shaving of electricity demand. The results from the proposed method are implemented in a real case study, in Port of Gävle in Sweden. Total revenue generated from services of peak-shaving and frequency regulation is maximum in the scenario considering high PV generation and high consumption on a selected experimental day in July. The results show that PV-battery storage systems are effective options to increase the integration of renewable energies in the grid, flatten the load, and achieve stabilized operation.

KW - XGBoost

KW - electricity generation

KW - forecast

KW - frequency regulation

KW - peak shaving

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M3 - Paper

SP - 1

EP - 5

Y2 - 12 June 2022 through 15 June 2022

ER -

Gopalakrishnan P, Alikhani P, Shafique H, Tjernberg LB, Hallinder J, Engstrom A et al.. Peak Demand Shaving Based on Solar and Load Forecasting at Port of Gävle: 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). 2022. Paper presented at 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Manchester, United Kingdom. doi: 10.1109/PMAPS53380.2022.9810648

Peak Demand Shaving Based on Solar and Load Forecasting at Port of Gävle: 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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