基于斯皮尔曼秩相关系数的风光系统调峰需求计算方法

By calculating the peak-shaving demand of wind and solar power systems using Spearman's rank correlation coefficient, typical reverse peak-shaving scenarios were identified, solving the problem of unreasonable peak-shaving capacity in existing technologies and achieving a balance between the economy and security of the power system.

CN117638955BActive Publication Date: 2026-07-17POWERCHINA FUJIAN ELECTRIC POWER SURVEY & DESIGN INST CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
POWERCHINA FUJIAN ELECTRIC POWER SURVEY & DESIGN INST CO LTD
Filing Date
2023-11-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot reasonably allocate reserve capacity when determining the peak-shaving capacity of wind and solar power systems, making it difficult to balance the economic efficiency and security of power system operation.

Method used

Spearman's rank correlation coefficient was used to calculate the peak-shaving demand of the wind and solar system. Through correlation analysis of hourly load data and wind and solar power output data, typical reverse peak-shaving scenarios were identified, and the net load value was calculated to determine the reasonable peak-shaving capacity.

Benefits of technology

It simplifies the calculation complexity of peak-shaving capacity demand, rationally allocates reserve capacity, balances the operation economy and security of the power system, and reduces the cost of reserve capacity.

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Abstract

本发明公开了基于斯皮尔曼秩相关系数的风光系统调峰需求计算方法,选取一定时间段的逐小时负荷数据及风、光出力数据,并将风、光出力逐小时求和,得到风光叠加的逐小时出力数据;计算出该时段各天负荷数据与风光出力数据的斯皮尔曼秩相关系数;对得到的斯皮尔曼秩相关系数进行排序,得出最小数值,将所述最小数值的当天确定为系统逆调峰的典型场景;将系统逆调峰的典型场景逐小时负荷数据减去风光出力数据,得到系统净负荷值,再根据净负荷值中的最大值及最小值计算调峰需求。本发明提出的调峰需求计算方法采用斯皮尔曼秩相关系数求取系统的调峰容量需求,通过该方案可以合理安排风光系统的备用容量,平衡电力系统运行经济性和运行安全性。
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