Small hydropower station group short-term robust optimization scheduling method considering prediction error

The invention provides a small hydropower station group short-term robust optimization scheduling method considering prediction errors. The method comprises the following steps: acquiring samples of uncertain factors after the prediction errors are considered by using a large amount of historical da...

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Hauptverfasser: WEI SHANGFU, WANG XINWEN, WENG ZONGLONG, TANG XIAN, SHI XIAOQING, WEI HUA, ZHANG GE, CHEN DANLEI, ZHENG LIQIN, WANG PUMING, WANG RUI, ZHU SONGYANG, SHANG QINGHUA, JIA YUJING, BAI XIAOQING, DIAO TIANYI, LI YUNYI, LIU GUANG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention provides a small hydropower station group short-term robust optimization scheduling method considering prediction errors. The method comprises the following steps: acquiring samples of uncertain factors after the prediction errors are considered by using a large amount of historical data, wherein the samples are subjected to numerical optimization processing, and an output set of the runoff type small hydropower stations is constructed; and constructing a short-term robust optimization scheduling model, and substituting the output set into the short-term robust optimization scheduling model for solving to obtain final output of the small hydropower station. According to the optimization scheduling method, samples of prediction errors of the runoff type small hydropower stations are included in the uncertain set, the prediction errors are considered while short-term optimal scheduling of the small hydropower station group is achieved, model solution conservative property is reduced, and robustnes