同步优化容许区间与期望发电成本的风电鲁棒估计法

王文睿; 瞿凯平; 余涛; 蓝超凡; 刘嘉宁

doi:10.7500/AEPS20190601002

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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

学术研究 | 更新时间：2025-06-16

- 同步优化容许区间与期望发电成本的风电鲁棒估计法
- Robust Estimation Method of Wind Power with Simultaneous Optimization of Allowable Interval and Expected Generation Cost
- 电力系统自动化-方正平台 2020年44卷第8期页码：48-56
- 作者机构：
  
  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：
  
  王文睿(1995—)，男，硕士研究生，主要研究方向：电力系统的优化运行与控制。E-mail：wwr0323@hotmail.com
  瞿凯平(1993—)，男，通信作者，博士研究生，主要研究方向：电力系统的优化运行与控制。E-mail：13560361373@163.com
  余涛(1974—)，男，博士，教授，主要研究方向：复杂电力系统的非线性控制理论与仿真。E-mail：taoyu1@scut.edu.cn
- 基金信息：
  
  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)
- DOI：10.7500/AEPS20190601002
  中图分类号：
- 收稿日期：2019-06-01，
  
  修回日期：2019-08-08，
  
  网络出版日期：2020-03-12，
  
  纸质出版日期：2020-04-25
- 稿件说明：
移动端阅览
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].电力系统自动化,2020,44(8):48-56.

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].Automation of Electric Power Systems,2020,44(8):48-56.
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].电力系统自动化,2020,44(8):48-56. DOI： 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].Automation of Electric Power Systems,2020,44(8):48-56. DOI： 10.7500/AEPS20190601002.

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 aim to minimize the generation cost of 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 allowable interval maximization of 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 commitment factor 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.

关键词

Keywords

references

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