Hourly Price-Based Demand Response for Optimal Scheduling of Integrated Gas and Power Networks Considering Compressed Air Energy Storage

Mohammad Amin  Mirzaei; Morteza  Nazari-Heris; Behnam  Mohammadi-Ivatloo; Kazem Zare; Mousa Marzband; Amjad Anvari-Moghaddam

doi:10.1007/978-3-030-32104-8_3

Hourly Price-Based Demand Response for Optimal Scheduling of Integrated Gas and Power Networks Considering Compressed Air Energy Storage

Mohammad Amin Mirzaei, Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Kazem Zare, Mousa Marzband, Amjad Anvari-Moghaddam

Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review

7 Citations (Scopus)

Abstract

Gas-fired plants are becoming an optimal and practical choice for power generation in electricity grids due to high efficiency and less emissions. Such plants with fast start-up capability and high ramp rate are flexible in response to stochastic load variations. Meanwhile, gas system constraints affect the flexibility and participation of such units in the energy market. Compressed air energy storage (CAES) as a flexible source with high ramp rate can be an alternative solution to reduce the impact of gas system constraints on the operation cost of a power system. In addition, demand response (DR) programs are expressed as practical approaches to overcome peak-demand challenges. This study introduces a stochastic unit commitment scheme for coordinated operation of gas and power systems with CAES technology as well as application of an hourly price-based DR. The introduced model is performed on a six-bus system with a six-node gas system to verify the satisfactory performance of the model.

Original language	English
Title of host publication	Demand Response Application in Smart Grids : Operation Issues
Editors	S. Nojavan , K. Zare
Number of pages	20
Volume	2
Publisher	Springer
Publication date	2020
Pages	55-74
Chapter	3
ISBN (Print)	978-3-030-32103-1
ISBN (Electronic)	978-3-030-32104-8
DOIs	https://doi.org/10.1007/978-3-030-32104-8_3
Publication status	Published - 2020

Keywords

Stochastic unit commitment
Network-constrained scheduling
Compressed air energy storage
Distributed generation
Integrated systems
Natural gas network

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10.1007/978-3-030-32104-8_3

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Cite this

Mirzaei, M. A., Nazari-Heris, M., Mohammadi-Ivatloo, B., Zare, K., Marzband, M., & Anvari-Moghaddam, A. (2020). Hourly Price-Based Demand Response for Optimal Scheduling of Integrated Gas and Power Networks Considering Compressed Air Energy Storage. In S. Nojavan , & K. Zare (Eds.), Demand Response Application in Smart Grids : Operation Issues (Vol. 2, pp. 55-74). Springer. Advance online publication. https://doi.org/10.1007/978-3-030-32104-8_3

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abstract = "Gas-fired plants are becoming an optimal and practical choice for power generation in electricity grids due to high efficiency and less emissions. Such plants with fast start-up capability and high ramp rate are flexible in response to stochastic load variations. Meanwhile, gas system constraints affect the flexibility and participation of such units in the energy market. Compressed air energy storage (CAES) as a flexible source with high ramp rate can be an alternative solution to reduce the impact of gas system constraints on the operation cost of a power system. In addition, demand response (DR) programs are expressed as practical approaches to overcome peak-demand challenges. This study introduces a stochastic unit commitment scheme for coordinated operation of gas and power systems with CAES technology as well as application of an hourly price-based DR. The introduced model is performed on a six-bus system with a six-node gas system to verify the satisfactory performance of the model.",

keywords = "Stochastic unit commitment, Network-constrained scheduling, Compressed air energy storage, Distributed generation, Integrated systems, Natural gas network",

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Mirzaei, MA, Nazari-Heris, M, Mohammadi-Ivatloo, B, Zare, K, Marzband, M & Anvari-Moghaddam, A 2020, Hourly Price-Based Demand Response for Optimal Scheduling of Integrated Gas and Power Networks Considering Compressed Air Energy Storage. in S Nojavan & K Zare (eds), Demand Response Application in Smart Grids : Operation Issues. vol. 2, Springer, pp. 55-74. https://doi.org/10.1007/978-3-030-32104-8_3

Hourly Price-Based Demand Response for Optimal Scheduling of Integrated Gas and Power Networks Considering Compressed Air Energy Storage. / Mirzaei, Mohammad Amin ; Nazari-Heris, Morteza ; Mohammadi-Ivatloo, Behnam et al.
Demand Response Application in Smart Grids : Operation Issues. ed. / S. Nojavan ; K. Zare. Vol. 2 Springer, 2020. p. 55-74.

Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review

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AU - Mirzaei, Mohammad Amin

AU - Nazari-Heris, Morteza

AU - Mohammadi-Ivatloo, Behnam

AU - Zare, Kazem

AU - Marzband, Mousa

AU - Anvari-Moghaddam, Amjad

PY - 2020

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N2 - Gas-fired plants are becoming an optimal and practical choice for power generation in electricity grids due to high efficiency and less emissions. Such plants with fast start-up capability and high ramp rate are flexible in response to stochastic load variations. Meanwhile, gas system constraints affect the flexibility and participation of such units in the energy market. Compressed air energy storage (CAES) as a flexible source with high ramp rate can be an alternative solution to reduce the impact of gas system constraints on the operation cost of a power system. In addition, demand response (DR) programs are expressed as practical approaches to overcome peak-demand challenges. This study introduces a stochastic unit commitment scheme for coordinated operation of gas and power systems with CAES technology as well as application of an hourly price-based DR. The introduced model is performed on a six-bus system with a six-node gas system to verify the satisfactory performance of the model.

AB - Gas-fired plants are becoming an optimal and practical choice for power generation in electricity grids due to high efficiency and less emissions. Such plants with fast start-up capability and high ramp rate are flexible in response to stochastic load variations. Meanwhile, gas system constraints affect the flexibility and participation of such units in the energy market. Compressed air energy storage (CAES) as a flexible source with high ramp rate can be an alternative solution to reduce the impact of gas system constraints on the operation cost of a power system. In addition, demand response (DR) programs are expressed as practical approaches to overcome peak-demand challenges. This study introduces a stochastic unit commitment scheme for coordinated operation of gas and power systems with CAES technology as well as application of an hourly price-based DR. The introduced model is performed on a six-bus system with a six-node gas system to verify the satisfactory performance of the model.

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Mirzaei MA, Nazari-Heris M, Mohammadi-Ivatloo B, Zare K, Marzband M, Anvari-Moghaddam A. Hourly Price-Based Demand Response for Optimal Scheduling of Integrated Gas and Power Networks Considering Compressed Air Energy Storage. In Nojavan S, Zare K, editors, Demand Response Application in Smart Grids : Operation Issues. Vol. 2. Springer. 2020. p. 55-74 Epub 2019 Dec. doi: 10.1007/978-3-030-32104-8_3

Hourly Price-Based Demand Response for Optimal Scheduling of Integrated Gas and Power Networks Considering Compressed Air Energy Storage

Abstract

Keywords

Access to Document

AUB Link

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Optimal Operation of Multiple Energy Distribution Companies Integrated with Emerging Energy Resources

Integrated Energy Systems Laboratory

Cite this

Hourly Price-Based Demand Response for Optimal Scheduling of Integrated Gas and Power Networks Considering Compressed Air Energy Storage

Abstract

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

Optimal Operation of Multiple Energy Distribution Companies Integrated with Emerging Energy Resources

Equipment

Integrated Energy Systems Laboratory

Cite this