Game theory-based multi-agent capacity optimization for integrated energy systems with compressed air energy storage

Wang, Haiyang; Zhang, Chenghui; Li, Ke; Ma, Xin

doi:10.1016/j.energy.2021.119777

Cited by 63 publications

(16 citation statements)

References 37 publications

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“…The mathematical expression of compression power (charging power) [30] according to the thermodynamic model is:…”

Section: Compression Stage Modelmentioning

confidence: 99%

“…At present, research on the gas storage tank model in the CAES system is generally based on thermodynamics by calculating the difference in air pressure after the compression and expansion process. Its expression [30,31] is as follows:…”

Section: High-pressure Gas Storage Stage Modelmentioning

confidence: 99%

“…The efficiency should be considered when transmitting power between the gas storage tank and other units. The mathematical expression [30] is as follows:…”

Section: System Constraintsmentioning

confidence: 99%

See 2 more Smart Citations

Compressed Air Energy Storage Capacity Configuration and Economic Evaluation Considering the Uncertainty of Wind Energy

et al. 2022

Energies

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The random nature of wind energy is an important reason for the low energy utilization rate of wind farms. The use of a compressed air energy storage system (CAES) can help reduce the random characteristics of wind power generation while also increasing the utilization rate of wind energy. However, the unreasonable capacity allocation of the CAES system results in high capital investment and a long payback period. In order to improve the economic benefits of energy storage, this paper studies the capacity configuration of compressed air energy storage systems under the condition of wind energy uncertainty. First, the typical hourly power distribution of wind power generation was obtained using historical data. Factors such as user load demand, time-of-use price of the power grid, system investment cost, power shortage cost, and power sales revenue were considered. Then, a model was built with the charging and discharging power and gas storage capacity of the CAES system as constraints, and the maximum return on investment and the minimum volume of the gas storage tank as targets. NSGA-II and TOPSIS optimal selection methods were used to solve the problem. Finally, the model was used to optimize a power operation case. The results show that in the case of an hourly load power demand of a factory using 3.2 MW, a wind farm would need to keep four wind turbines running every day, and a compressed air energy storage system with a rated power of 1 MW and a rated capacity of 7 MW would ensure the best project benefit. In this mode, 1.24 × 103 MWh of wind abandoning power could be reduced annually, 2.6 × 104 kg of carbon emissions could be reduced by increasing energy storage within the operation cycle, and the payback period of investment would only be 4.8 years.

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“…The mathematical expression of compression power (charging power) [30] according to the thermodynamic model is:…”

Section: Compression Stage Modelmentioning

confidence: 99%

Section: High-pressure Gas Storage Stage Modelmentioning

confidence: 99%

See 1 more Smart Citation

Compressed Air Energy Storage Capacity Configuration and Economic Evaluation Considering the Uncertainty of Wind Energy

et al. 2022

Energies

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“…Articles [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20] present studies aimed at modeling integrated energy systems and optimizing their energy flows. Let us look at some of the studies in more detail.…”

Section: Reviewmentioning

confidence: 99%

Methodological aspects of modeling the fuel and energy complex in the context of energy security

Piskunova

2021

E3S Web Conf.

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One of the most important goals of the energy industry is to ensure a shortage-free and reliable energy supply to consumers. To achieve this goal, it is necessary to assess the level of energy security of the fuel and energy complex (FEC) of the country. For these purposes, it is proposed to form a model of the energy system that would take into account the peculiarities of all process flows that take place in it. For this purpose, we conducted a review of Russian and foreign studies in the field of modeling of the FEC in the course of the work. The main result presented in the article is a methodology for the building of a unified model of the fuel and energy complex to assess the level of energy security.

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“…The economic advantages of the joint operation of CAES and IES have been proven [25]. Capacity optimization [26], emission reduction [27], and cost optimization [28] become the improvement targets of the CAES and IES joint system. The integrated system of AA-CAES and IES has better performance under variable working conditions [29,30].…”

Section: Introductionmentioning

confidence: 99%

A Robust Operation Method with Advanced Adiabatic Compressed Air Energy Storage for Integrated Energy System under Failure Conditions

et al. 2022

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Integrated energy system (IES) is an important direction for the future development of the energy industry, and the stable operation of the IES can ensure heat and power supply. This study established an integrated system composed of an IES and advanced adiabatic compressed air energy storage (AA-CAES) to guarantee the robust operation of the IES under failure conditions. Firstly, a robust operation method using the AA-CAES is formulated to ensure the stable operation of the IES. The method splits the energy release process of the AA-CAES into two parts: a heat-ensuring part and a power-ensuring part. The heat-ensuring part uses the high-temp tank to maintain the balance of the heat subnet of the IES, and the power-ensuring part uses the air turbine of the first stage to maintain the balance of the power subnet. Moreover, another operation method using a spare gas boiler is formulated to compare the income of the IES with two different methods under failure conditions. The results showed that the AA-CAES could guarantee the balance of heat subnet and power subnet under steady conditions, and the dynamic operation income of the IES with the AA-CAES method was a bit higher than the income of the IES with the spare gas boiler method.

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Game theory-based multi-agent capacity optimization for integrated energy systems with compressed air energy storage

Cited by 63 publications

References 37 publications

Compressed Air Energy Storage Capacity Configuration and Economic Evaluation Considering the Uncertainty of Wind Energy

Compressed Air Energy Storage Capacity Configuration and Economic Evaluation Considering the Uncertainty of Wind Energy

Methodological aspects of modeling the fuel and energy complex in the context of energy security

A Robust Operation Method with Advanced Adiabatic Compressed Air Energy Storage for Integrated Energy System under Failure Conditions

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