Dynamic Economic Load Dispatch by Introducing Compressed Air Energy Storage for Solving Duck Curve

Patria Julianto; Adi Soeprijanto

doi:10.1109/ISITIA49792.2020.9163698

Dynamic Economic Load Dispatch by Introducing Compressed Air Energy Storage for Solving Duck Curve

Patria Julianto
, Adi Soeprijanto
, Mardlijah

Institut Teknologi Sepuluh Nopember

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

4 Citations (Scopus)

Abstract

The massive penetration of photovoltaic (PV) causes a duck curve problem. The larger the PV penetration, the larger the duck curve problem. In the duck curve, the difference of load demands at peak and off-peak is enormous, which causes thermal generators do not operate optimally. This research proposes Compressed Air Energy Storage (CAES) as a load demand balancer for addressing the duck curve problem. CAES will store electricity when the system has a surplus due to PV penetration during the day. Otherwise, CAES will inject power into the system at night when the PV no longer cannot be used. In this paper, the dynamic economic load dispatch (DELD) is carried out on thermal generators and CAES to determine optimal output of thermal generators and CAES operation pattern to meet the load demand for 24 hours and the Quadratic Constrained Programming (QCP) on the DELD integrated with CAES problem is solved by using the CPLEX solver to prove the effectiveness of the proposed system.

Original language	English
Title of host publication	Proceedings - 2020 International Seminar on Intelligent Technology and Its Application
Subtitle of host publication	Humanification of Reliable Intelligent Systems, ISITIA 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	129-134
Number of pages	6
ISBN (Electronic)	9781728174136
DOIs	https://doi.org/10.1109/ISITIA49792.2020.9163698
Publication status	Published - Jul 2020
Event	2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020 - Virtual, Online, Indonesia Duration: 22 Jul 2020 → 23 Jul 2020

Publication series

Name	Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020

Conference

Conference	2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020
Country/Territory	Indonesia
City	Virtual, Online
Period	22/07/20 → 23/07/20

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

compressed air energy storage
duck curve
economic dispatch
quadratic constrained programming (QCP)
renewable energy

Access to Document

10.1109/ISITIA49792.2020.9163698

Cite this

Julianto, P., Soeprijanto, A., & Mardlijah (2020). Dynamic Economic Load Dispatch by Introducing Compressed Air Energy Storage for Solving Duck Curve. In Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020 (pp. 129-134). Article 9163698 (Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISITIA49792.2020.9163698

Julianto, Patria ; Soeprijanto, Adi ; Mardlijah. / Dynamic Economic Load Dispatch by Introducing Compressed Air Energy Storage for Solving Duck Curve. Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 129-134 (Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020).

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title = "Dynamic Economic Load Dispatch by Introducing Compressed Air Energy Storage for Solving Duck Curve",

abstract = "The massive penetration of photovoltaic (PV) causes a duck curve problem. The larger the PV penetration, the larger the duck curve problem. In the duck curve, the difference of load demands at peak and off-peak is enormous, which causes thermal generators do not operate optimally. This research proposes Compressed Air Energy Storage (CAES) as a load demand balancer for addressing the duck curve problem. CAES will store electricity when the system has a surplus due to PV penetration during the day. Otherwise, CAES will inject power into the system at night when the PV no longer cannot be used. In this paper, the dynamic economic load dispatch (DELD) is carried out on thermal generators and CAES to determine optimal output of thermal generators and CAES operation pattern to meet the load demand for 24 hours and the Quadratic Constrained Programming (QCP) on the DELD integrated with CAES problem is solved by using the CPLEX solver to prove the effectiveness of the proposed system.",

keywords = "compressed air energy storage, duck curve, economic dispatch, quadratic constrained programming (QCP), renewable energy",

author = "Patria Julianto and Adi Soeprijanto and Mardlijah",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020 ; Conference date: 22-07-2020 Through 23-07-2020",

year = "2020",

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language = "English",

series = "Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020",

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Julianto, P, Soeprijanto, A & Mardlijah 2020, Dynamic Economic Load Dispatch by Introducing Compressed Air Energy Storage for Solving Duck Curve. in Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020., 9163698, Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020, Institute of Electrical and Electronics Engineers Inc., pp. 129-134, 2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020, Virtual, Online, Indonesia, 22/07/20. https://doi.org/10.1109/ISITIA49792.2020.9163698

Dynamic Economic Load Dispatch by Introducing Compressed Air Energy Storage for Solving Duck Curve. / Julianto, Patria; Soeprijanto, Adi ; Mardlijah.
Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 129-134 9163698 (Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020).

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

TY - GEN

T1 - Dynamic Economic Load Dispatch by Introducing Compressed Air Energy Storage for Solving Duck Curve

AU - Julianto, Patria

AU - Soeprijanto, Adi

AU - Mardlijah,

PY - 2020/7

Y1 - 2020/7

N2 - The massive penetration of photovoltaic (PV) causes a duck curve problem. The larger the PV penetration, the larger the duck curve problem. In the duck curve, the difference of load demands at peak and off-peak is enormous, which causes thermal generators do not operate optimally. This research proposes Compressed Air Energy Storage (CAES) as a load demand balancer for addressing the duck curve problem. CAES will store electricity when the system has a surplus due to PV penetration during the day. Otherwise, CAES will inject power into the system at night when the PV no longer cannot be used. In this paper, the dynamic economic load dispatch (DELD) is carried out on thermal generators and CAES to determine optimal output of thermal generators and CAES operation pattern to meet the load demand for 24 hours and the Quadratic Constrained Programming (QCP) on the DELD integrated with CAES problem is solved by using the CPLEX solver to prove the effectiveness of the proposed system.

AB - The massive penetration of photovoltaic (PV) causes a duck curve problem. The larger the PV penetration, the larger the duck curve problem. In the duck curve, the difference of load demands at peak and off-peak is enormous, which causes thermal generators do not operate optimally. This research proposes Compressed Air Energy Storage (CAES) as a load demand balancer for addressing the duck curve problem. CAES will store electricity when the system has a surplus due to PV penetration during the day. Otherwise, CAES will inject power into the system at night when the PV no longer cannot be used. In this paper, the dynamic economic load dispatch (DELD) is carried out on thermal generators and CAES to determine optimal output of thermal generators and CAES operation pattern to meet the load demand for 24 hours and the Quadratic Constrained Programming (QCP) on the DELD integrated with CAES problem is solved by using the CPLEX solver to prove the effectiveness of the proposed system.

KW - compressed air energy storage

KW - duck curve

KW - economic dispatch

KW - quadratic constrained programming (QCP)

KW - renewable energy

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DO - 10.1109/ISITIA49792.2020.9163698

M3 - Conference contribution

AN - SCOPUS:85091695739

T3 - Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020

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BT - Proceedings - 2020 International Seminar on Intelligent Technology and Its Application

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 22 July 2020 through 23 July 2020

ER -

Julianto P, Soeprijanto A , Mardlijah. Dynamic Economic Load Dispatch by Introducing Compressed Air Energy Storage for Solving Duck Curve. In Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 129-134. 9163698. (Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020). doi: 10.1109/ISITIA49792.2020.9163698

Dynamic Economic Load Dispatch by Introducing Compressed Air Energy Storage for Solving Duck Curve

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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