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节能减排下含风电场多目标机组组合建模及优化

张晓花 赵晋泉 陈星莺

电力系统保护与控制2011,Vol.39Issue(17):33-39,7.
电力系统保护与控制2011,Vol.39Issue(17):33-39,7.

节能减排下含风电场多目标机组组合建模及优化

Multi-objective unit commitment modeling and optimization for energy-saving and emission reduction in wind power integrated system

张晓花 1赵晋泉 2陈星莺1

作者信息

  • 1. 河海大学能源与电气学院,江苏南京210098
  • 2. 常州大学信息科学与工程学院,江苏常州213164
  • 折叠

摘要

Abstract

It is necessary to cut green house emission and develop energy-saving and emission-reducing generation scheduling. Due to the randomness and fluctuation of wind power generation, the up/down spinning reserve and additional up/down reserve have to be considered in unit commitment. A multi-objective unit commitment model for energy saving and emission reduction in wind power integrated system is presented. Then the decision making model is reached via dimensionless disposal to multiple objectives. A balance point of coal consumption and emission-reducing can be found by adjusting the weight of them. An adaptive cooperative coevolutionary algorithm is developed to solve the optimization problem. Finally, an example is given to show wind power is efficiently integrated, and the energy saving, emission of sulfur and carbon dioxide are synthetically considered. It is environment-protective, economic and secure for the optimization in wind power integrated system.

关键词

节能减排/多目标/机组组合:旋转备用/自适应合作协同进化

Key words

energy-saving and emission reducing/ multi-objective/ unit commitment/ spinning reserve/ adaptive cooperative coevolutionary algorithm

分类

信息技术与安全科学

引用本文复制引用

张晓花,赵晋泉,陈星莺..节能减排下含风电场多目标机组组合建模及优化[J].电力系统保护与控制,2011,39(17):33-39,7.

基金项目

国家自然科学基金资助项目(50607003) (50607003)

高等学校博士学科点专项科研基金(20060294019) (20060294019)

电力系统保护与控制

OA北大核心CSCDCSTPCD

1674-3415

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