光伏电站限电损失电量计算数据

光伏电站在运行过程中会因AGC的指令而进入限电状态，此时部分发电量将不能并网，从而产生限电损失电量。目前，限电损失电量的计算一般有电站运维人员根据运维经验进行估算，且计算标准不统一，因此会导致电站对损失电量的分析和评估不准确。所以，实现光伏电站限电损失电量的自动计算，并提高计算结果的准确性，对准确评估光伏电站发电水平具有重要意义，可以更精准地进行电站管理和优化，减少因限电导致的经济损失，降低运营成本，同时减少限电损失还有助于保障电力供应的稳定性，满足公众的用电需求，提升社会整体的生活质量。通过收集电站历史运行日志信息、电站日辐照量数据以及电站逆变器发电数据，寻找能表征电站限电日发电水平的非限电日，通过非限电日与限电日之间的逆变器发电差异，自动计算电站限电损失电量。
具体步骤：1、数据来源：企业自身的生成数据，包括：电站的装机容量、日辐照量、日发电量等；2、数据整理：通过运行日志，获取电站限电信息；3、数据应用：通过线性回归模型拟合电站发电水平，筛选表征电站限电日发电水平的非限电日期； 4、数据成果：根据算法规则自动获取电站限电状态，并通过样板逆变器日发电量计算电站当日限电损失电量（计算公式详见邮件-光伏电站限电损失电量计算数据 2024/9/24 (周二) 16:02），并将算法结果提供业务参考。

During the operation of photovoltaic (PV) power stations, they will enter power curtailment status under the instructions of Automatic Generation Control (AGC). At this time, part of the generated power cannot be connected to the grid, resulting in curtailment loss power. Currently, the calculation of curtailment loss power is generally estimated by station operation and maintenance personnel based on their experience, and the calculation standards are not unified, which leads to inaccurate analysis and evaluation of the loss power by the power station. Therefore, realizing the automatic calculation of curtailment loss power for PV power stations and improving the accuracy of calculation results is of great significance for accurately evaluating the power generation level of PV power stations. It enables more precise management and optimization of the power station, reduces economic losses caused by power curtailment and lowers operating costs. Additionally, reducing curtailment losses helps ensure the stability of power supply, meet the public's electricity demand, and improve the overall quality of social life.

By collecting the historical operation log information of the power station, daily solar irradiation data, and inverter power generation data of the power station, we can identify non-curtailment days that can represent the power generation level of the station on curtailment days. Then, the curtailment loss power of the station can be automatically calculated based on the difference in inverter power generation between non-curtailment days and curtailment days.

Specific steps:
1. Data Source: Self-owned production data of the enterprise, including: installed capacity of the power station, daily solar irradiation, daily power generation, etc.;
2. Data Organization: Obtain power curtailment information of the power station through operation logs;
3. Data Application: Fit the power generation level of the power station through a linear regression model, and screen out non-curtailment dates that can represent the power generation level of the station on curtailment days;
4. Data Achievements: Automatically obtain the power curtailment status of the power station according to the algorithm rules, and calculate the daily curtailment loss power of the station through the daily power generation of the representative inverter (the calculation formula is detailed in the email - Photovoltaic Power Station Curtailment Loss Power Calculation Data, September 24, 2024 (Tuesday) 16:02), and provide the algorithm results as business reference.

搜集汇总

数据集介绍

特点

该数据集包含光伏电站在限电状态下的损失电量计算数据，共计547条，每日更新。通过算法自动计算限电损失电量，以提高计算准确性，优化电站管理。