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基于离散纵横交叉算法的含风电电力系统机组组合优化

马留洋 孟安波 胡函武

广东电力2018,Vol.31Issue(2):38-44,7.
广东电力2018,Vol.31Issue(2):38-44,7.DOI:10.3969/j.issn.1007-290X.2018.002.006

基于离散纵横交叉算法的含风电电力系统机组组合优化

Optimization on Power System Unit Commitment with Wind Power Based on Discrete Crisscross Algorithm

马留洋 1孟安波 1胡函武2

作者信息

  • 1. 广东工业大学 自动化学院,广东 广州510006
  • 2. 国网鄂州供电公司,湖北 鄂州436000
  • 折叠

摘要

Abstract

Randomness and volatility of wind power brings serious challenges to safe and economic operation of the power system and reasonable wind power uncertainty model and unit commitment (UC)optimization method are critical to ensure safety and economy of day-ahead dispatching of the power system.Therefore,this paper presents a kind of UC optimization method for the power system with wind power based on discrete crisscross algorithm.According to day-ahead predictive val-ues and error distribution of wind power,this method adopts Latin hypercube sampling technique and Cholesky decomposi-tion to generate large numbers of wind power scenarios and uses synchronous back generation reduction method to reduce those wind power scenarios to small numbers of most likely scenarios.Aiming at minimizing the expected operational costs of thermal power generating units under the most likely scenarios,it establishes the UC optimization model,meanwhile it pro-poses the optimized method based on discrete crisscross algorithm to solve difficulties in UC optimization.Experimental sim-ulation verifies effectiveness of the proposed method.

关键词

机组组合/离散纵横交叉算法/风电场景/启发式修正策略

Key words

unit commitment/discrete crisscross algorithm/wind power scenario/heuristic repair strategy

分类

信息技术与安全科学

引用本文复制引用

马留洋,孟安波,胡函武..基于离散纵横交叉算法的含风电电力系统机组组合优化[J].广东电力,2018,31(2):38-44,7.

基金项目

广东省科技计划项目(2016A010104016) (2016A010104016)

广东电网有限责任公司科技项目(GDKJQQ20152066) (GDKJQQ20152066)

广东电力

OACSTPCD

1007-290X

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