Interdependence of electricity and heat distribution systems coupled by an AA‐CAES‐based energy hub

With the development of economy and the growth of industrial demands, the peak-valley difference of electric load is ever increasing, calling for the deployment of energy storage units. Advanced-adiabatic compressed air energy storage (AA-CAES) is a promising large-scale energy storage technology and exhibits various advantages in fast response, long service time, low environmental impact and so on. It also has the potential in combined heat-and-power production because heat is a by-product when air is compressed. This study presents a novel AA-CAES-based energy hub and its mathematical formulation considering the pressure behaviours and mass flow rate variations of AA-CAES, and further envisions its business model for the transaction with a power distribution system and a heating system under time-of-use price. A bilevel game-theoretical model is developed to capture the interaction between the two infrastructures through the integrated demand response of the energy hub and investigate the equilibrium state at which none of the stakeholders would like to alter their strategy unilaterally. Results show the interdependence of electricity and heat prices as well as the economic impact of energy hub performance.

[1]  Yujie Xu,et al.  A near-isothermal expander for isothermal compressed air energy storage system , 2018, Applied Energy.

[2]  Laijun CHEN,et al.  Optimal dispatch of zero-carbon-emission micro Energy Internet integrated with non-supplementary fired compressed air energy storage system , 2016 .

[3]  Shengwei Mei,et al.  Robust Operation of Distribution Networks Coupled With Urban Transportation Infrastructures , 2017, IEEE Transactions on Power Systems.

[4]  Virginia Torczon,et al.  On the Convergence of Pattern Search Algorithms , 1997, SIAM J. Optim..

[5]  Meihong Wang,et al.  Energy storage technologies and real life applications – A state of the art review , 2016 .

[6]  Meihong Wang,et al.  Process design, operation and economic evaluation of compressed air energy storage (CAES) for wind power through modelling and simulation , 2019, Renewable Energy.

[7]  Stefan Zunft,et al.  Adiabatic compressed air energy storage plants for efficient peak load power supply from wind energy: the European project AA-CAES , 2007 .

[8]  Marcos J. Rider,et al.  Optimal Operation of Distribution Networks Considering Energy Storage Devices , 2015, IEEE Transactions on Smart Grid.

[9]  Jinghua Li,et al.  A coordinated dispatch method with pumped-storage and battery-storage for compensating the variation of wind power , 2018 .

[10]  Kazem Zare,et al.  Optimal bidding and offering strategies of merchant compressed air energy storage in deregulated electricity market using robust optimization approach , 2018 .

[11]  Hamidreza Zareipour,et al.  Considering Thermodynamic Characteristics of a CAES Facility in Self-Scheduling in Energy and Reserve Markets , 2018, IEEE Transactions on Smart Grid.

[12]  Shengwei Mei,et al.  Energy Trading and Market Equilibrium in Integrated Heat-Power Distribution Systems , 2019, IEEE Transactions on Smart Grid.

[13]  Vasilis Fthenakis,et al.  The Value of Compressed‐Air Energy Storage for Enhancing Variable‐Renewable‐Energy Integration: The Case of Ireland , 2017 .

[14]  Steven H. Low,et al.  Branch Flow Model: Relaxations and Convexification—Part II , 2012 .

[15]  Jianzhong Xu,et al.  Thermodynamic analysis of energy conversion and transfer in hybrid system consisting of wind turbine and advanced adiabatic compressed air energy storage , 2014 .

[16]  Shahab Bahrami,et al.  From Demand Response in Smart Grid Toward Integrated Demand Response in Smart Energy Hub , 2016, IEEE Transactions on Smart Grid.

[17]  Huaguang Yan,et al.  A Real-Time Pricing Scheme for Energy Management in Integrated Energy Systems: A Stackelberg Game Approach , 2018, Energies.

[18]  Yongjun Xu,et al.  Multi-objective optimization, design and performance analysis of an advanced trigenerative micro compressed air energy storage system , 2019, Energy Conversion and Management.

[19]  Yaowang Li,et al.  A real-time dispatch model of CAES with considering the part-load characteristics and the power regulation uncertainty , 2019, International Journal of Electrical Power & Energy Systems.

[20]  Nima Amjady,et al.  Adaptive Robust Self-Scheduling for a Wind Producer With Compressed Air Energy Storage , 2018, IEEE Transactions on Sustainable Energy.

[21]  Hossein Safaei,et al.  Compressed air energy storage with waste heat export: An Alberta case study , 2014 .

[22]  Javier Contreras,et al.  Strategic Behavior of Multi-Energy Players in Electricity Markets as Aggregators of Demand Side Resources Using a Bi-Level Approach , 2018, IEEE Transactions on Power Systems.

[23]  A. Haselbacher,et al.  Pilot-scale demonstration of advanced adiabatic compressed air energy storage, Part 1: Plant description and tests with sensible thermal-energy storage , 2018, Journal of Energy Storage.

[24]  Roohallah Khatami,et al.  Look-Ahead Optimal Participation of Compressed Air Energy Storage in Day-Ahead and Real-Time Markets , 2020, IEEE Transactions on Sustainable Energy.

[25]  Jihong Wang,et al.  A reserve capacity model of AA-CAES for power system optimal joint energy and reserve scheduling , 2019, International Journal of Electrical Power & Energy Systems.

[26]  Behnam Mohammadi-Ivatloo,et al.  Risk‐constrained scheduling of solar‐based three state compressed air energy storage with waste thermal recovery unit in the thermal energy market environment , 2019, IET Renewable Power Generation.

[27]  J. Menéndez,et al.  Energy from closed mines: Underground energy storage and geothermal applications , 2019, Renewable and Sustainable Energy Reviews.

[28]  Yuan Zhou,et al.  Design and engineering implementation of non-supplementary fired compressed air energy storage system: TICC-500 , 2015 .

[29]  Mostafa Sedighizadeh,et al.  Optimal joint energy and reserve scheduling considering frequency dynamics, compressed air energy storage, and wind turbines in an electrical power system , 2019, Journal of Energy Storage.

[30]  Yajun Leng,et al.  A Nash-Stackelberg game approach in regional energy market considering users’ integrated demand response , 2019, Energy.

[31]  Sayyad Nojavan,et al.  A stochastic self-scheduling program for compressed air energy storage (CAES) of renewable energy sources (RESs) based on a demand response mechanism , 2016 .

[32]  Siddhartha Kumar Khaitan,et al.  Modeling and simulation of compressed air storage in caverns: A case study of the Huntorf plant , 2012 .

[33]  Ali Mohammad Ranjbar,et al.  Integrated Demand Side Management Game in Smart Energy Hubs , 2015, IEEE Transactions on Smart Grid.

[34]  Thomas A. Adams,et al.  Application of rolling horizon optimization to an integrated solid-oxide fuel cell and compressed air energy storage plant for zero-emissions peaking power under uncertainty , 2014, Comput. Chem. Eng..

[35]  Chongqing Kang,et al.  Review and prospect of integrated demand response in the multi-energy system , 2017 .