Optimal Planning of Power Systems with Flexible Resources for High Penetrated Renewable Energy Accommodation

被引:0
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作者
Guo Y. [1 ]
Xiang Y. [1 ]
Liu J. [1 ]
机构
[1] College of Electrical Engineering, Sichuan University, Chengdu
关键词
flexibility resources; high penetrated renewable energy; power system planning; scheme optimization;
D O I
10.16183/j.cnki.jsjtu.2022.269
中图分类号
学科分类号
摘要
High penetrated renewable energy has brought great challenges to the flexibility of the power system due to its volatility and intermittency. To improve the capacity of renewable energy accommodation, the flexibility reformation of thermal power units, the construction of gas-fired units, and the electrical energy storage installation are considered as effective solutions. Thus, an optimization model for power system planning scheme considering multi-type flexible resources with their different output characteristics is established. The simulation results on a modified IEEE 24-bus power system and 12-node natural gas system demonstrate the effectiveness of the proposed model. In addition, the applicability of different flexible resource planning schemes is comprehensively evaluated from the perspectives of economy, accommodation capacity, and carbon reduction, so as to meet the different planning goals. © 2023 Shanghai Jiao Tong University. All rights reserved.
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页码:1146 / 1155
页数:9
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共 18 条
  • [1] Evaluation and analysis of national new energy power accommodation for four quarters in 2021 [DB/OL]
  • [2] PENG Guangbo, X1ANG Yue, CHEN Wenxule, Et al., Kinetic deduction and analysis of installed capacity and investment development for wind power in power system under "dual carbon"target, Electric Power Automation Equipment, 42, 11, pp. 70-77, (2022)
  • [3] PAN Ersheng, TIAN Xueqin, XU Tong, Et al., Status, critical problems and prospects of flexibility retrofit of thermal power in China, Electric Power Construction, 41, 9, pp. 58-68, (2020)
  • [4] ZHAO Y L, LIU M, WANG C Y, Et al., Increasing operational flexibility of supercritical coal-fired power plants by regulating thermal system configuration during transient processes, Applied Energy, 228, pp. 2375-2386, (2018)
  • [5] LI Xingmei, ZHONG Zhiming, YAN Jie, Flexibility reformation planning of thermal power units with large-scale integration of wind power, Automation of Electric Power Systems, 43, 3, pp. 51-57, (2019)
  • [6] XU Hao, LI Huaqiang, Comprehensive stochastic optimization model for flexible transformation planning and operation of thermal power units, Power System Technology, 44, 12, pp. 4626-4635, (2020)
  • [7] MA Longfei, WU Yaowu, LIANG Yanjie, Et al., Light robust planning for generation expansion considering flexibility reformation of thermal power unit [J], Automation of Electric Power Systems, 44, 11, pp. 102-110, (2020)
  • [8] XU Haoliang, JIN Panrun, JIANG Jiheng, Et al., Capacity optimal plan of thermal power flexibility transformation based on probabilistic production sim-ulation, Journal of Global Energy Interconnection, 3, 4, pp. 393-403, (2020)
  • [9] ZHAO Dongyuan, HU Nan, FU Jing, Et al., Research on the practice and road map of enhancing the flexibility of a new generation power system in China [J], Power System Protection and Control, 48, 24, pp. 1-8, (2020)
  • [10] GOTTWALT S, GARTTNER J, SCHMECK H, Et al., Modeling and valuation of residential demand flexibility for renewable energy integration, IEEE Transactions on Smart Grid, 8, 6, pp. 2565-2574, (2017)