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, Zare, Kazem, Marzband, Mousa and Anvari-Moghaddam, Amjad (2020) Hourly Price-Based Demand Response for Optimal Scheduling of Integrated Gas and Power Networks Considering Compressed Air Energy Storage. In: Demand Response Application in Smart Grids. Operation Issues - Volume 2. Springer, Cham, pp. 55-74. ISBN 9783030321031, 9783030321048

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Official URL: https://doi.org/10.1007/978-3-030-32104-8_3

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.

Item Type: Book Section
Uncontrolled Keywords: Stochastic unit commitment, Network-constrained scheduling, Compressed air energy storage, Distributed generation, Integrated systems, Natural gas network
Subjects: F200 Materials Science
F300 Physics
H800 Chemical, Process and Energy Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Elena Carlaw
Date Deposited: 12 Dec 2019 11:25
Last Modified: 15 Sep 2020 13:15
URI: http://nrl.northumbria.ac.uk/id/eprint/41721

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