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Studies on stochastic unit commitment formulation with flexible generating units

机译:柔性发电机组随机机组承诺公式研究

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摘要

In recent years, restructured power system has emerged and renewable energy generation technology has developed. More and more different unit characteristics and stochastic factors make the unit commitment (UC) more difficult than before. A novel stochastic UC formulation which covered the usual thermal units, flexible generating units and wind generation units is proposed to meet the need of energy-savings and environment protection. By introducing a UC risk constraint (UCRC), many stochastic factors such as demand fluctuations, unit force outages, variety of energy price, even the stochastic characteristics of wind generation can be dealt with. Based on the theory of chance constrained programming (CCP), the UCRC, a probabilistic constraint is changed into a determinate constraint, and then the presented formulation can be solved by usual optimization algorithms. Numerical simulations on 4 test systems with different scales show that different UC schedules can be determined according to different stochastic factors and its calculation time is acceptable in the view of practical engineer.
机译:近年来,重组的电力系统已经出现,可再生能源发电技术也得到了发展。越来越多的不同单位特征和随机因素使单位承诺(UC)比以前更加困难。为了满足节能和环保的需要,提出了一种新颖的随机UC公式,该公式涵盖了常规的热力单元,柔性发电机组和风力发电机组。通过引入UC风险约束(UCRC),可以应对许多随机因素,例如需求波动,单位力量中断,能源价格变化,甚至风力发电的随机特征。根据机会约束规划(CCP)理论,将UCRC概率概率约束转换为确定性约束,然后可以通过常规优化算法求解所提出的公式。在4个不同规模的测试系统上的数值模拟表明,可以根据不同的随机因素确定不同的UC计划,并且从实际工程师的角度来看,其计算时间是可以接受的。

著录项

  • 来源
    《Electric power systems research》 |2010年第1期|130-141|共12页
  • 作者单位

    Xi'an Jiaotong University, Xi'an 710049, China Energy Systems Research Center, University of Texas, Arlington, TX 76019, USA State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an 710049, China;

    Energy Systems Research Center, University of Texas, Arlington, TX 76019, USA;

    Xi'an Jiaotong University, Xi'an 710049, China State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an 710049, China;

    Xi'an Jiaotong University, Xi'an 710049, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    stochastic unit commitment; flexible generating units; wind generation; chance constrained programming;

    机译:随机单位承诺;灵活的发电机组;风力发电机会受限编程;

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