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大规模风电接入下的火电机组灵活性改造规划 被引量:2

Flexibility Reformation Planning of Thermal Power Units with Large-scale Integration of Wind Power
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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。 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.
作者 李星梅 钟志鸣 阎洁 LI Xingmei;ZHONG Zhiming;YAN Jie(Beijing Key Laboratory of New Energy and Low-carbon DeveIopment (North China Electric Power University), Beijing 102206,China;School of Renewable Energy,North China Electric Power University,Beijing 102206,China;State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University),Beijing 102206,China)
出处 《电力系统自动化》 EI CSCD 北大核心 2019年第3期51-57,共7页 Automation of Electric Power Systems
基金 国家自然科学基金资助项目(71772060).
关键词 风电消纳 火电机组灵活性 机组组合 Benders分解 wind power accommodation flexibility of thermal power units unit commitment Benders decomposition
作者简介 李星梅(1971-),女,博士,教授,主要研究方向:优化理论在电力系统中的应用、电力系统规划与经济运行。E-mail:xingmeil@163.com;钟志鸣(1995-),男,通信作者,硕士研究生,主要研究方向:优化理论在电力系统中的应用、电力系统规划与经济运行。E-mail:zhimingzhong@ncepu.edu.cn;阎洁(1987-),女,博士,讲师,主要研究方向:风电功率预测及其不确定性分析。E-mail:yanjie_freda@163.com.
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