文章摘要
李星梅,钟志鸣,阎洁.大规模风电接入下的火电机组灵活性改造规划[J].电力系统自动化,2019,43(3):51-57. DOI: 10.7500/AEPS20180213007.
LI Xingmei,ZHONG Zhiming,YAN Jie..Flexibility Reformation Planning of Thermal Power Units with Large-scale Integration of Wind Power[J].Automation of Electric Power Systems,2019,43(3):51-57. DOI: 10.7500/AEPS20180213007.
大规模风电接入下的火电机组灵活性改造规划
Flexibility Reformation Planning of Thermal Power Units with Large-scale Integration of Wind Power
DOI:10.7500/AEPS20180213007
关键词: 风电消纳  火电机组灵活性  机组组合  Benders分解
KeyWords: wind power accommodation  flexibility of thermal power units  unit commitment  Benders decomposition
上网日期:2018-12-21
基金项目:国家自然科学基金资助项目(71772060)
作者单位E-mail
李星梅 新能源电力与低碳发展研究北京市重点实验室(华北电力大学), 北京市102206  
钟志鸣 新能源电力与低碳发展研究北京市重点实验室(华北电力大学), 北京市102206 zhimingzhong@ncepu.edu.cn 
阎洁 华北电力大学可再生能源学院, 北京市 102206
新能源电力系统国家重点实验室(华北电力大学), 北京市102206 
 
摘要:
      风力发电具有极强的随机波动性,大规模风电的消纳需要火电提供辅助服务。然而,中国的火电机组普遍存在总量富余但灵活性不足的问题,严重限制了风电的消纳。文中构建了考虑火电机组灵活性改造的电力系统长期调度模型。考虑到该模型是具有多时间维度耦合特征的大规模优化模型,利用Benders分解算法,将原问题分解成关于灵活性改造的投资主问题与不同改造方案下的各调度时段的运行子问题,从而实现了对具有多时间维度的大规模优化问题的高效求解。算例分析显示,所构建的模型能够在提升电力系统运行经济性的同时促进高比例风电消纳。
Abstract:
      Since wind power has strong stochastic volatility, the accommodation of lager-scale wind power requires thermal power to provide auxiliary services. However, thermal power units have high capacity but low flexibility in China, which severely restricts the accommodation of wind power. This paper develops a long-term generation scheduling model of power systems considering the flexibility reformation of thermal power units. Since this model is a large-scale optimization model with multiple coupling time dimensions, the Benders decomposition algorithm is used to decompose the original model into an investment master problem with regard to flexibility reformation, and a set of subproblems with regard to the operation in each scheduling time period under different reformation schemes. The efficient computation of large-scale optimization model with multiple time dimensions is then realized. The numerical example shows that the proposed model can improve the economy of power systems and prompt the accommodation of high-proportion wind power.
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