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

Machines ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 51
Author(s):  
Rong Xie ◽  
Weihuang Liu ◽  
Muyan Chen ◽  
Yanjun Shi
Keyword(s):  
Energy Storage ◽  
Energy System ◽  
Integrated System ◽  
Compressed Air ◽  
Stable Operation ◽  
Compressed Air Energy Storage ◽  
Release Process ◽  
Operation Method ◽  
Integrated Energy System ◽  
Failure Conditions

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.

Optimal Dispatching of an Energy System with Integrated Compressed Air Energy Storage and Demand Response

Energy ◽  
2021 ◽  
pp. 121232
Author(s):  
Dechang Yang ◽  
Ming Wang ◽  
Ruiqi Yang ◽  
Yingying Zheng ◽  
Hrvoje Pandzic
Keyword(s):  
Energy Storage ◽  
Demand Response ◽  
Energy System ◽  
Compressed Air ◽  
Compressed Air Energy Storage

Energy, exergy, and sensitivity analyses of underwater compressed air energy storage in an island energy system

2019 ◽  
Vol 43 (6) ◽  
pp. 2241-2260 ◽  
Author(s):  
Zhiwen Wang ◽  
Wei Xiong ◽  
Rupp Carriveau ◽  
David S.-K. Ting ◽  
Zuwen Wang
Keyword(s):  
Energy Storage ◽  
Energy System ◽  
Compressed Air ◽  
Sensitivity Analyses ◽  
Compressed Air Energy Storage

scholarly journals A MILP Model for Revenue Optimization of a Compressed Air Energy Storage Plant with Electrolysis

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6803
Author(s):  
Ann-Kathrin Klaas ◽  
Hans-Peter Beck
Keyword(s):  
Energy Storage ◽  
Energy System ◽  
Vital Role ◽  
Compressed Air ◽  
Mixed Integer ◽  
Compressed Air Energy Storage ◽  
Market Prices ◽  
Revenue Optimization ◽  
Milp Model ◽  
Reserve Market

Energy storage, both short- and long-term, will play a vital role in the energy system of the future. One storage technology that provides high power and capacity and that can be operated without carbon emissions is compressed air energy storage (CAES). However, it is widely assumed that CAES plants are not economically feasible. In this context, a mixed-integer linear programming (MILP) model of the Huntorf CAES plant was developed for revenue maximization when participating in the day-ahead market and the minute-reserve market in Germany. The plant model included various plant variations (increased power and storage capacity, recuperation) and a water electrolyzer to produce hydrogen to be used in the combustion chamber of the CAES plant. The MILP model was applied to four use cases that represent a market-orientated operation of the plant. The objective was the maximization of revenue with regard to price spreads and operating costs. To simulate forecast uncertainties of the market prices, a rolling horizon approach was implemented. The resulting revenues ranged between EUR 0.5 Mio and EUR 7 Mio per year and suggested that an economically sound operation of the storage plant is possible.

scholarly journals Transmission Congestion Management using a Wind Integrated Compressed Air Energy Storage System

2017 ◽  
Vol 7 (4) ◽  
pp. 1746-1752
Author(s):  
S. Gope ◽  
A. K. Goswami ◽  
P. K. Tiwari
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Pso Algorithm ◽  
Congestion Management ◽  
Compressed Air ◽  
Stable Operation ◽  
Sensitivity Factor ◽  
Compressed Air Energy Storage ◽  
Transmission Congestion ◽  
The Impact

Transmission congestion is a vital problem in the power system security and reliability sector. To ensure the stable operation of the system, a congestion free power network is desirable. In this paper, a new Congestion Management (CM) technique, the Wind integrated Compressed Air Energy Storage (WCAES) system is used to alleviate transmission congestion and to minimize congestion mitigation cost. The CM problem has been solved by using the Generator Sensitivity Factor (GSF) and the Bus Sensitivity Factor (BSF). BSF is used for finding the optimal location of WCAES in the system. GSF with a Moth Flame Optimization (MFO) algorithm is used for rescheduling the generators to alleviate congestion and to minimize congestion cost by improving security margin. The impact of the WCAES system is tested with a 39 bus system. To validate this approach, the same problem has been solved with a Particle Swarm Optimization (PSO) algorithm and the obtained results are compared with the ones from the MFO algorithm.

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