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

作　　者：张晓花[1,2] 赵晋泉[1] 陈星莺[1] 

机构地区：[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

出　　处：《电力系统保护与控制》2011年第17期33-39,共7页Power System Protection and Control

基　　金：国家自然科学基金资助项目(50607003);高等学校博士学科点专项科研基金(20060294019)~~

摘　　要：环境和资源矛盾日益突出,节能减排发电调度是一种必然。针对风电场出力的随机性与波动性,系统考虑向上向下旋转备用及风电加入后附加备用,建立了节能减排下含风电场的多目标机组组合模型。通过对多个目标进行无量纲化处理,提出了基于节能减排的含风电场机组组合的决策模型。该模型通过调节各目标之间的权重,能够平衡系统的能耗与污染气体的排放,并采用自适应的合作协同进化算法求解。算例表明该模型能有效利用风电,并兼顾节能与减排目标,最终实现含风电场机组组合的安全、经济与环保。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. This work is supported by National Natural Science Foundation of China （No. 50607003） and the Special Fund for Doctoral Science and Research by Ministry of Education of China （No. 20060294019）.

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 

分 类 号：TM73[电气工程—电力系统及自动化]