Welcome to Francis Academic Press

International Journal of New Developments in Engineering and Society, 2024, 8(4); doi: 10.25236/IJNDES.2024.080402.

Research on Maximum Energy Supply Capacity of Electric-Gas-Thermal Interconnection Integrated Energy System

Author(s)

Wanjia Zhang, Liang Zhou, Luqiang Shi, Baisong Wang

Corresponding Author:
Wanjia Zhang
Affiliation(s)

State Grid Hangzhou Power Supply Company, Hangzhou, 310016, China

Abstract

Considering the equation and inequality constraints of four parts including power system, gas system, thermal system and element output, the paper aims at constructing a multi-scenario Electric-Gas-Thermal interconnection integrated energy system with energy storage elements and wind turbine, which pointing at the maximum energy supply capacity of Electric-Gas-Thermal integrated energy system. The Gurobi solver is invoked in MATLAB to solve the coupling IEEE39- node power system, the 6-node gas system and the 6-node thermal system. The energy supply capacity of normal situation, electric power system N-1 fault scenario, gas system N-1 fault scenario, thermal system N-1 fault scenario are calculated. Measuring the maximum energy supply capacity of the Electric-Gas-Thermal integrated energy system can provide decision support for the safe operation of the integrated energy system. It is more conducive to the reasonable planning of load distribution and the increase of system operation reliability.

Keywords

Energy Storage Element, Wind Turbine, Integrated Energy System, Maximum Energy Supply Capacity

Cite This Paper

Wanjia Zhang, Liang Zhou, Luqiang Shi, Baisong Wang. Research on Maximum Energy Supply Capacity of Electric-Gas-Thermal Interconnection Integrated Energy System. International Journal of New Developments in Engineering and Society (2024) Vol.8, Issue 4: 10-15. https://doi.org/10.25236/IJNDES.2024.080402.

References

[1] Guo R, Wang F, Rhamdhani M, et al. Managing the surge: A comprehensive review of the entire disposal framework for retired lithium-ion batteries from electric vehicles[J]. Journal of Energy Chemistry, 2024, 92(05):648-680.

[2] Liu A, Zhang X, Liu Z , et al. The Roadmap of 2D Materials and Devices Toward Chips[J].Nano-Micro Letters, 2024, 16(06):349-444.

[3] Xin He. Research on Cooperative Optimal Scheduling and Benefit Balancing of Clean Energy Considering Multi-energy Complementation [D]. North China Electric Power University (Beijing), 2019.

[4] Dou Xun, Zhao Wenhao, Lang Yi Zihe, Li Yang, Gao Ciwei. A review of gas-power coupling system operation with power-to-gas technology [J]. Power System Technology, 2019, 43(01):165-173.

[5] Zheng Jieyun, Ni Shiyuan, Shi Pengjia, Wu Guilian, Wang Rian, Hu Zhijian. Calculation of Maximum Power Supply Capacity of Three-phase Unbalanced Distribution Network Based on Mixed Integer Second Order Cone [J]. Journal of Wuhan University (Engineering Science), 2020, 53(07):643-652.

[6] Jiu Cheng Z, Jie W, ShiZhong Z, et al. Application of ultrasonic fatigue technology in very-high-cycle fatigue testing of aviation gas turbine engine blade materials: A review [J]. Science China(Technological Sciences), 2024, 67(05):1317-1363.

[7] Gu Yuanyuan. Maximum Energy Supply Capability and Safety Grade Classification of Power - Gas Interconnection Energy System [D]. Yanshan University, 2019.

[8] DORCHEH F, M. GHASSEMI. The viscous strip approach to simplify the calculation of the surface acoustic wave generated streaming [J]. Applied Mathematics and Mechanics(English Edition), 2024, 45(04): 711-724.

[9] Wei Zhenbo, Ren Xiaolin, Huang Yuhan. Multi-objective optimization scheduling of regional integrated energy system considering comprehensive demand side response [J]. Electric Power Construction, 2020, 41(07):92-99.

[10] Ren J, Lou H, Xu N , et al. Methanation of CO/CO_2 for power to methane process: Fundamentals, status, and perspectives [J]. Journal of Energy Chemistry, 2023, 80(05):182-206.

[11] Tian Feng, Jia Yanbing, Ren Haiquan, et al. Integrated Energy system "source-load" low-carbon economic dispatch considering carbon capture System [J].Power Grid Technology, 2020, 44(09):3346-3355.DOI:10.13335/j.1000-3673.pst.2020.0728.

[12] LIU Ronhui, Li Yang, Yang Xiu, et al. Two-stage optimal scheduling of community integrated energy system considering demand response [J]. Acta Solar Energy Sinica, 2021, 42(09):46-54. (in Chinese) DOI:10.19912/ J.0254-0096.tynxb.2019-0974.