广东电力2017，Vol.30Issue(4)：137-142,6.DOI:10.3969/j.issn.1007-290X.2017.04.024
基于改进人体舒适指数的微电网超短期负荷预测
Ultra Short-term Load Forecasting for Micro-grid Based on Improved Human Comfort Index
樊唯钦 1张伟 2李勇钢 1王家武1
作者信息
- 1. 国网山东省电力公司日照供电公司,山东 日照 276826
- 2. 积成电子股份有限公司,山东 济南 250100
- 折叠
摘要
Abstract
In order to solve the problem of calculation speed and accuracy in large-scale ultra short-term load forecasting for the micro-grid, an optimal local shape similarity ultra short-term load forecasting model was established, human comfort index representing comprehensive influencing factors on weather was introduced and formula of human comfort index was improved.According to the optimal local shape similarity sequence and real-time data, a method for the optimal local shape similarity ultra short-term load forecasting based on weight average was proposed so as to obtain the initial value of ultra short-term load forecasting and amend this value for once by using the improved human comfort index.Then according to deviation of real-time data and forecasting data, hyperstable adaptive control theory was applied for twice amendment on the modified value and the ultra short-term load forecasting value was finally acquired.Actual example verifies feasibility of the proposed method and indicates that it has preferable adaptability to calculation speed and accuracy in large-scale ultra short-term load forecasting.关键词
微电网/超短期负荷预测/局部形相似/人体舒适度指数/空气质量指数Key words
micro-grid/ultra short-term load forecasting/local shape similarity/human comfort index/air quality index分类
信息技术与安全科学引用本文复制引用
樊唯钦,张伟,李勇钢,王家武..基于改进人体舒适指数的微电网超短期负荷预测[J].广东电力,2017,30(4):137-142,6.
