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发输电系统鲁棒优化规划研究综述与展望 被引量:7

Review and prospect of robust optimization and planning research on generation and transmission system
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摘要 随着电力系统不确定性增加,应用发输电系统鲁棒优化规划研究抵御不确定性极端场景已成为重要研究方法。首先从是否计及不确定因素概率分布特征角度,将鲁棒优化分为经典鲁棒优化和分布鲁棒优化,梳理了这2类鲁棒优化的数学模型和不确定集合特征。然后将现有的发输电系统经典鲁棒优化和分布鲁棒优化研究分为考虑节点注入功率不确定性、电源容量增长及成本不确定性、输电网络状态不确定性3个方面,提炼了发输电系统鲁棒优化规划的研究框架和局限性。最后展望了发输电系统鲁棒优化规划值得深入研究的问题,为发输电系统鲁棒优化规划后续研究提供思路和方向。 With the uncertainty of power system increasing gradually,the application of robust optimization and planning research on generation and transmission system to resist the uncertainty of extremely scenes has become a significant research method.Firstly,the robust optimization is divided into classical robust optimization and distributionally robust optimization from the perspective of whether the probability distribu⁃tion characteristics of uncertain factors are considered,the mathematical models and uncertain set characteris⁃tics of these two kinds of robust optimization are sorted out.Secondly,the existing classical robust optimiza⁃tion and distributionally robust optimization research on generation and transmission system are divided into three aspects:considering the uncertainty of node injection power,considering the uncertainty of power capacity growth and cost,and considering the uncertainty of transmission network state,and the research framework and limitations of robust optimization planning research on generation and transmission system are refined.Finally,the problems worthy of further study in robust optimization planning on power genera⁃tion and transmission system are prospected,which provides ideas and directions for the robust optimization planning follow-up research on power generation and transmission system.
作者 袁杨 张衡 程浩忠 柳璐 张啸虎 励刚 张建平 YUAN Yang;ZHANG Heng;CHENG Haozhong;LIU Lu;ZHANG Xiaohu;LI Gang;ZHANG Jianping(Key Laboratory Control of Power Transmission and Conversion,Ministry of Education,Shanghai Jiao Tong University,Shanghai 200240,China;East China Branch of State Grid Corporation of China,Shanghai 200120,China)
出处 《电力自动化设备》 EI CSCD 北大核心 2022年第1期10-19,85,共11页 Electric Power Automation Equipment
基金 国家重点研发计划项目(2016YFB0900100)。
关键词 发输电系统 优化规划 不确定性 鲁棒优化 分布鲁棒优化 generation and transmission system optimization and planning uncertainty robust optimization distributionally robust optimization
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  • 1王一,程浩忠.电力市场环境下输电网扩展优化规划研究综述[J].电工技术学报,2007,22(9):174-183. 被引量:12
  • 2王高琴,沈炯,李益国.基于聚类和贝叶斯推断的市场出清电价离散概率分布预测[J].中国电机工程学报,2007,27(34):90-95. 被引量:10
  • 3Zhou Wei, Peng Yu, Sun Hui. Optimal wind-thermal coordination dispatch based on risk reserve constraints [J]. European Transactions on Electrical Power, 2011, 21(1): 740-756.
  • 4Fabbri Alberto, San Roman Tomas Gomez, Abbad Juan Rivier, et al. Assessment of the cost associated with wind generation prediction errors in a liberalized electricity market[J]. IEEE Transactions on Power Systems, 2005, 20(3): 1440-1446.
  • 5Yao Fang, Dong Zhaoyang, Meng Ke, et al. Quantum- inspired particle swarm optimization for power system operations considering wind power uncertainty and carbon tax in Australia[J]. IEEE Transactions on Industrial Informatics, 2012, 8(4): 880-888.
  • 6Peng Chunhua, Sun Huijuan, Guo Jianfeng, et al. Dynamic economic dispatch for wind-thermal power system using a novel bi-population chaotic differential evolution algorithm[J]. International Journal of Electrical Power and Energy Systems, 2012, 42(1): 119-126.
  • 7Tyrrell R R, Uryasev Stanislav. Conditional value-at-risk for general loss distributions[J]. Journal of Banking & Finance, 2002, 26(7): 1443-1471.
  • 8Uryasev Stanislav. Conditional value-at-risk: optimization algorithms and applications[C]//IEEE/IAFE/INFORMS Conference on Computational Intelligence for Financial Engineering. New York, USA: IEEE, 2000: 49-57.
  • 9Dimitris B, Dessislava P, Melvyn S. Robust linear optimization under general norms[J]. Operations Research Letters, 2004, 32(6): 510-516.
  • 10Ben-Tal A, Goryashko A, Guslitzer E, et al. Adjustable robust solutions of uncertain linear programs [J]. Mathematical Programming, 2004, 99(2): 351-376.

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