| 基于机会约束规划的风电预测功率分级处理 |
| |
| 引用本文： | 王成福,梁军,张利,牛远方,贠志皓,韩学山.基于机会约束规划的风电预测功率分级处理[J].电力系统自动化,2011,35(17):14-19. |
| |
| 作者姓名： | 王成福 梁军 张利 牛远方 贠志皓 韩学山 |
| |
| 作者单位： | 1. 山东大学电气工程学院,山东省济南市,250061
2. 山东电力工程咨询院,山东省济南市,250013 |
| |
| 基金项目： | 省自然科学基金(如：广东省自然科学基金) |
| |
| 摘 要： | 提高现有风电功率预测精度往往难度大、经济性差,而电网调度、风电控制则需要准确的功率曲线。为此,从分析功率预测结果角度提出风电功率分级处理思想,以减少预测误差对相关决策的影响。该分级思想以预测功率为基础,考虑预测误差分布影响,利用机会约束规划方法建立基于预测功率可信度水平的分级模型,将预测功率划分为基荷出力、次级出力及高...
|
| 关 键 词： | 风力发电 预测功率 分级处理 机会约束规划 粒子群算法 |
| 收稿时间： | 11/3/2010 3:25:50 PM |
| 修稿时间： | 7/13/2011 1:26:58 PM |
Classified Treatment of Wind Power Predictive Power Based on Chance Constrained Programming |
| |
| WANG Chengfu,LIANG Jun,ZHANG Li,NIU Yuanfang,YUN Zhihao,HAN Xueshan.Classified Treatment of Wind Power Predictive Power Based on Chance Constrained Programming[J].Automation of Electric Power Systems,2011,35(17):14-19. |
| |
| Authors: | WANG Chengfu LIANG Jun ZHANG Li NIU Yuanfang YUN Zhihao HAN Xueshan |
| |
| Affiliation: | WANG Chengfu1,LIANG Jun1,ZHANG Li1,NIU Yuanfang2,YUN Zhihao1,HAN Xueshan1 (1.Shandong University,Jinan 250061,China,2.Shandong Electric Power Engineering Consulting Institute,Jinan 250013,China) |
| |
| Abstract: | Improving the accuracy of current wind power prediction is very difficult and uneconomic,but power system dispatching and wind power control require accurate power curve.A novel method for classified treatment of wind farms active power using forecasting results is presented,which can reduce the influence of prediction error on the decision.The new method is based on predictive power.Considering the influence of predictive error distribution,a classified mode based on the reliability of predictive power is ... |
| |
| Keywords: | wind power predictive power classified treatment chance constrained programming particle swarm algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《电力系统自动化》浏览原始摘要信息 |
|
点击此处可从《电力系统自动化》下载全文 |
|
