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同步优化容许区间与期望发电成本的风电鲁棒估计法
作者:
作者单位:

1.华南理工大学电力学院,广东省 广州市 510640;2.广东电网有限责任公司电力调度控制中心,广东省 广州市 510600

作者简介:

通讯作者:

基金项目:

国家自然科学基金资助项目(51777078);中国南方电网有限责任公司科技项目(GDKJXM20180576)。


Robust Estimation Method of Wind Power with Simultaneous Optimization of Allowable Interval and Expected Generation Cost
Author:
Affiliation:

1.School of Electric Power, South China University of Technology, Guangzhou 510640, China;2.Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou 510600, China

Fund Project:

This work is supported by National Natural Science Foundation of China (No. 51777078) and China Southern Power Grid Company Limited (No. GDKJXM20180576).

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    摘要:

    现有的风电鲁棒区间调度模型往往以最小化基态发电成本和最大化风电利用作为目标,难以考虑在实际调度过程中对发电成本的优化。针对上述问题,文中提出了一种同步优化风电容许区间和机组期望发电成本的方法,基于Nataf逆变换的三点估计法,在保证风电容许区间最大化的同时,将应对风电波动的发电成本期望值作为经济目标,以反映实际发电成本的最小化。为提高风电消纳能力,将机组的风电承担系数作为变量,并对因此引入的非线性项进行松弛处理。而对于期望发电成本作为目标所引入的非凸性,则采用一种凸-凹过程进行迭代处理,以确保方法的准确性。最后,通过校正模型在修改的IEEE 118节点系统上进行蒙特卡洛模拟,验证了所提方法的有效性。

    Abstract:

    Existing robust interval dispatching models for wind power often aims to minimize the generation cost for base state and maximize the accommodation of wind power, which are difficult to consider the optimization of generation cost in the actual dispatching process. To solve the above problem, this paper proposes a method to simultaneously optimize allowable interval of wind power and expected generation cost of units. Based on the three-point estimation method of Nataf inverse transformation, the proposed method guarantees the maximization of allowable interval for wind power, and takes the expected value of generation cost coping with the wind power fluctuations as the economic objective to reflect the minimization of actual generation cost. In order to improve the capacity of wind power accommodation, the proposed method takes the wind power undertaking coefficient of the unit as a variable and relaxes the introduced nonlinear term. For the non-convexity introduced by the expected power generation cost as the objective, a convexity-concave process is adopted for iterative processing to ensure the accuracy of the method. Finally, the Monte Carlo simulation on modified IEEE 118-bus system is carried out by using the corrected model to verify the validity of the proposed method.

    表 6 Table 6
    表 1 各调度模型的仿真结果对比Table 1 Result comparison of each scheduling model
    表 5 Table 5
    表 4 Table 4
    表 2 Table 2
    图1 风电出力情况Fig.1 Wind power output
    图2 确定性调度的机组出力Fig.2 Generator output for deterministic dispatch
    图3 传统鲁棒区间调度的机组出力Fig.3 Generator output for conventional robust interval dispatch
    图4 本文方法的机组出力Fig.4 Generator output of the proposed method
    图5 成本较低的AGC机组出力Fig.5 Output of AGC generator with low cost
    图 CCP迭代过程Fig. Iterative process for CCP
    表 3 Table 3
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引用本文

王文睿,瞿凯平,余涛,等.同步优化容许区间与期望发电成本的风电鲁棒估计法[J/OL].电力系统自动化,http://doi.org/10.7500/AEPS20190601002.
WANG Wenrui,QU Kaiping,YU Tao,et al.Robust Estimation Method of Wind Power with Simultaneous Optimization of Allowable Interval and Expected Generation Cost[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20190601002.

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历史
  • 收稿日期:2019-06-01
  • 最后修改日期:2019-12-25
  • 录用日期:2019-08-20
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