计及火电机组深度调峰成本的大规模风电并网鲁棒优化调度

王淑云; 娄素华; 吴耀武; 曹侃; 周鲲鹏

doi:10.7500/AEPS20190128007

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计及火电机组深度调峰成本的大规模风电并网鲁棒优化调度

学术研究 | 更新时间：2020-07-14

- 计及火电机组深度调峰成本的大规模风电并网鲁棒优化调度
- Robust Optimal Dispatch of Large-scale Wind Power Integration Considering Deep Peak Regulation Cost of Thermal Power Units
- 电力系统自动化 2020年44卷第1期页码：118-125
- 作者机构：
  
  1. 强电磁工程与新技术国家重点实验室，华中科技大学，湖北省武汉市 430074
  2. 湖北省电力公司电力科学研究院，湖北省武汉市 430077
- 作者简介：
  
  王淑云(1995—)，女，硕士，主要研究方向：电力系统规划与优化运行。E-mail：wangshuyun@hust.edu.cn
  娄素华(1974—)，女，通信作者，教授，主要研究方向：电力系统规划与优化运行，新能源发电与电力技术经济。E-mail：shlou@hust.edu.cn
  吴耀武（1963—），男，博士，副教授，主要研究方向：电力系统规划与运行优化。E-mail：ywwu@mail.hust.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(51677076);国家重点研发计划资助项目(2016YFB0900100);国家电网公司科技项目(521532190003)
- DOI：10.7500/AEPS20190128007
  中图分类号：
- 收稿日期：2019-01-28，
  
  修回日期：2019-06-27，
  
  网络出版日期：2019-11-13，
  
  纸质出版日期：2020-01-10
- 稿件说明：
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王淑云,娄素华,吴耀武等.计及火电机组深度调峰成本的大规模风电并网鲁棒优化调度[J].电力系统自动化,2020,44(01):118-125.

WANG Shuyun,LOU Suhua,WU Yaowu,et al.Robust Optimal Dispatch of Large-scale Wind Power Integration Considering Deep Peak Regulation Cost of Thermal Power Units[J].Automation of Electric Power Systems,2020,44(01):118-125.
王淑云,娄素华,吴耀武等.计及火电机组深度调峰成本的大规模风电并网鲁棒优化调度[J].电力系统自动化,2020,44(01):118-125. DOI： 10.7500/AEPS20190128007.

WANG Shuyun,LOU Suhua,WU Yaowu,et al.Robust Optimal Dispatch of Large-scale Wind Power Integration Considering Deep Peak Regulation Cost of Thermal Power Units[J].Automation of Electric Power Systems,2020,44(01):118-125. DOI： 10.7500/AEPS20190128007.

摘要

规模风电并网背景下，电力系统加大火电机组的调峰深度，充分挖掘现有下调备用空间，将是应对风电出力不确定性的有效方式之一。文中考虑火电机组工作在深度调峰（DPR）方式下的附加煤耗损失和机组寿命损耗，提出了计及火电机组DPR成本的规模风电并网鲁棒优化调度模型。考虑风电出力不确定性，建立了包括基于风电出力预测场景的调度主问题和基于极端场景的调控子问题的两阶段鲁棒优化模型，并引入不确定度参数控制调度计划的保守性，最终优化出经济性最优的鲁棒日前调度方案。基于算例分析证明所述模型的合理性与有效性。

Abstract

Under the background of large-scale wind power integration

the power system raises the deep peak regulation (DPR) of the thermal power unit to fully exploit the existing downward spinning reserve capacity

which will be one of the effective ways to deal with the uncertainty of wind power. Considering the additional coal loss and unit life loss of the thermal power units which work in the DPR state

a robust optimal dispatching model taking the DPR cost of the thermal power unit into account is established in this paper. Considering the uncertainty of wind power output

a two-stage robust optimal model consisting of the main scheduling problem in forecasting scenes and the control sub-problem in extreme scenes is established

and the uncertain parameter is introduced to control the conservativeness of scheduling scheme. Finally

the economical optimal robust day-ahead scheduling plan is obtained. The rationality and effectiveness of the model are proved by case analysis.

关键词

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references

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