电力系统典型日负荷曲线生成方法

本发明涉及一种电力系统典型日负荷曲线生成方法。方法包括以下步骤：首先，以固定采样周期获取本地多年的日负荷功率曲线为样本构成数据集合；然后，设定生成典型日负荷曲线的种类数量以及长度等于日负荷采样点数、各编码位为类别数内正整数的编码串，提取编码位值相同的日负荷样本为同类；接着，计算同一时刻样本值服从此概率分布的概率乘积，并加和所有时刻的乘积值，表征此类样本聚合的优劣；第四步，利用交叉、变异等遗传操作过程，优化编码串使其达到对历史样本的最优聚类；最后，根据最优聚类结果下，同类样本在各时刻的概率分布的均值表征出此类典型日负荷曲线。为本地新能源+储能系统的选址定容以及电力系统的调度规划奠定了坚实的基础。...

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Bibliographic Details
Format Patent
LanguageChinese
Published 15.03.2024
Subjects
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Summary:本发明涉及一种电力系统典型日负荷曲线生成方法。方法包括以下步骤：首先，以固定采样周期获取本地多年的日负荷功率曲线为样本构成数据集合；然后，设定生成典型日负荷曲线的种类数量以及长度等于日负荷采样点数、各编码位为类别数内正整数的编码串，提取编码位值相同的日负荷样本为同类；接着，计算同一时刻样本值服从此概率分布的概率乘积，并加和所有时刻的乘积值，表征此类样本聚合的优劣；第四步，利用交叉、变异等遗传操作过程，优化编码串使其达到对历史样本的最优聚类；最后，根据最优聚类结果下，同类样本在各时刻的概率分布的均值表征出此类典型日负荷曲线。为本地新能源+储能系统的选址定容以及电力系统的调度规划奠定了坚实的基础。 The invention relates to an electric power system typical daily load curve generation method. The method comprises the following steps that a local multi-year daily load power curve is acquired as a sample by using a fixed sampling period to form a data set; the type number and the length of the generated typical daily load curve are set to be equal to the daily load sampling point number, each coding bit is a coding string of a positive integer in the type number, and daily load samples with the same coding bit value are extracted as the same type; the probability product of the sample value obeying the probability distribution at the same moment is calculated, and the product values are added at all moments to r
Bibliography:Application Number: CN202111281768