user

Fast and Dynamic Robust Optimization of Integrated Electricity-gas System Operation With Carbon Trading

被引：0
|
作者：
Guo Z. [1 ]
Li G. [1 ]
Zhou M. [1 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources (North China Electric Power University), Changping District, Beijing
来源：
Li, Gengyin (ligy@ncepu.edu.cn) | 1600年 / Power System Technology Press卷 / 44期
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
Carbon trading mechanism; Column and constraints generation; Dynamic line pack; Integrated electricity-gas system; Robust optimization; Successive second-order-cone relaxation; Time decoupling;
D O I：
10.13335/j.1000-3673.pst.2019.2313
中图分类号：
学科分类号：
摘要：
Under the background of multi-energy synergy and high penetration of wind power integration, the low-carbon integrated electricity-gas system (IEGS) has gradually become an economical and environmentally-friendly means for wind power accommodation. Taking into account the carbon trading mechanism and the dynamic natural gas line pack, a fast and dynamic robust optimal scheduling model is established in this paper, with the consideration of uncertainties of wind power and the load and real-time modification of gas flow simulation. By using the model with the column constraint generation (C&CG) algorithm, the successive second-order-cone relaxation technique is nested in the main problem obtained in C&CG to gradually reduce the gas flow simulation error. The system deviation and the total carbon trading amount are limited in the sub-problem, in which the time decoupling method is applied to accelerate the solution. The analysis of numerical examples verifies the convergence of the proposed method and its advantages in improving the economy, the low-carbon benefit and robustness of the operation of the uncertain IEGS, promoting the wind power accommodation and the calculation speed. © 2020, Power System Technology Press. All right reserved.
引用
收藏
页码：1220 / 1228
页数：8
相关论文
共 20 条
  • [1] Dou X., Zhao W., Lang Y., Et al., A review of operation of natural gas-electricity coupling system considering power-to-gas technology, Power System Technology, 43, 1, pp. 165-173, (2019)
  • [2] Wang J., Zhong H., Ma Z., Et al., Review and prospect of integrated demand response in the multi-energy system, Applied Energy, 202, pp. 772-782, (2017)
  • [3] Clegg S., Mancarella P., Integrated electrical and gas network flexibility assessment in low-carbon multi-energy systems, IEEE Transactions on Sustainable Energy, 7, 2, pp. 718-731, (2016)
  • [4] Cheng Y., Zhang N., Kang C., Et al., Research framework and prospects of low-carbon multiple energy systems, Proceedings of the CSEE, 37, 14, pp. 4060-4069, (2017)
  • [5] Wei Z., Zhang S., Sun G., Et al., Carbon trading based low-carbon economic operation for integrated electricity and natural gas energy system, Automation of Electric Power Systems, 40, 15, pp. 9-16, (2016)
  • [6] Qu K., Huang L., Yu T., Et al., Decentralized dispatch of multi-area integrated energy systems with carbon trading, Proceedings of the CSEE, 38, 3, pp. 697-707, (2018)
  • [7] Qin T., Liu H., Wang J., Et al., Carbon trading based low-carbon economic dispatch for integrated electricity-heat-gas energy system, Automation of Electric Power Systems, 42, 14, (2018)
  • [8] Lin K., Chen Z., Zhang Y., Et al., Wind power accommodation and successive linear low-carbon economic dispatch of integrated electricity-gas network with power-to-gas, Automation of Electric Power Systems, 43, 21, pp. 23-32, (2019)
  • [9] Li H., Qu K., Yu T., Et al., Optimization method of accelerated convex decentralization for low-carbon dynamic optimal gas-power flow, Automation of Electric Power Systems, 43, 12, pp. 85-93, (2019)
  • [10] Chen Z., Zhao Z., Zhang Y., Et al., Optimal dispatch of integrated electricity and natural gas system and accommodation of high-penetration wind power considering dynamic line pack, Automation of Electric Power Systems, 43, 9, (2019)
12