工商业储能站峰谷套利模型下的收益数据

工商业储能站通过低谷电价时充电，尖峰电价时放电实现企业盈利，同时具备提高电能质量和供电可靠性的作用。本数据知识产权对工商业储能站小时级的充放电量的统计，结合浙江省当地的电价政策，计算实时的时收益、日收益情况和站点的累计运行收益情况，用于分析储能电站的时、日、月、年纬度的收益变化，向业主、客户展示储能产品的收益情况，为储能产品的商业价值提供可靠的数据支持。实时采集工商业储能柜的充放电功率，充放电量，并结合当地的电价政策，计算得到小时级的收益数据。通过收益数据的趋势，来分析当地电价政策的储能效益情况和预估储能柜全生命周期的经济效益。
1.数据来源：现场运行设备的实时数据采集；2.数据整理：每小时的充放量数据，当地的电价政策、以及计算得到收益；3.模型选择：收益=峰时电价* 峰时放电量+尖时电价* 尖时放电量+平时电价* 平时放电量+谷时电价* 谷时放电量-峰时电价* 峰时充电量-尖时电价* 尖时充电量-平时电价*平时充电量-谷时电价*谷时放电量，通过收益的变化可以分析当前园区的用电收益和储能产品的商业价值；4.数据应用：分析不同园区的储能柜用电情况、收益效率，分析当前储能产品的商业价值，研发更具市场导向和商业价值储能产品；5.数据成果：根据算法规则得到储能柜的收益和收益增长曲线。

Commercial and Industrial (C&I) energy storage stations charge during off-peak electricity price periods and discharge during peak and critical peak periods to generate profits for enterprises, while also improving power quality and power supply reliability.

This dataset, which holds relevant intellectual property rights, calculates real-time hourly revenue, daily revenue and cumulative operating revenue of the stations by counting the hourly charge and discharge volumes of C&I energy storage stations, combined with local electricity tariff policies in Zhejiang Province. It is used to analyze revenue changes of energy storage power stations at hourly, daily, monthly and annual scales, demonstrate the revenue performance of energy storage products to owners and customers, and provide reliable data support for the commercial value of such products.

The dataset collects real-time charge/discharge power and volumes of C&I energy storage cabinets, and combines them with local electricity tariff policies to calculate hourly revenue data. By analyzing the trends of the revenue data, it can evaluate the energy storage benefits of local tariff policies and estimate the full-life-cycle economic benefits of energy storage cabinets.

1. Data Source: Real-time data collection from on-site operating equipment;
2. Data Organization: Hourly charge/discharge volume data, local electricity tariff policies, and calculated revenue;
3. Model Formulation: Revenue = (On-peak tariff * On-peak discharge volume) + (Critical peak tariff * Critical peak discharge volume) + (Mid-peak tariff * Mid-peak discharge volume) + (Off-peak tariff * Off-peak discharge volume) - (On-peak tariff * On-peak charge volume) - (Critical peak tariff * Critical peak charge volume) - (Mid-peak tariff * Mid-peak charge volume) - (Off-peak tariff * Off-peak discharge volume). By analyzing changes in revenue, the electricity revenue of the current park and the commercial value of energy storage products can be evaluated;
4. Data Application: Analyze the electricity consumption and revenue efficiency of energy storage cabinets in different parks, evaluate the commercial value of current energy storage products, and develop energy storage products with higher market orientation and commercial value;
5. Data Achievements: Obtain the revenue and revenue growth curves of energy storage cabinets based on the established algorithmic rules.

搜集汇总

数据集介绍

特点

该数据集记录了工商业储能站在不同电价时段的充放电量及其收益数据，用于分析储能站的收益变化和评估储能产品的商业价值。数据来源于企业实时采集，更新频次为每年一次，适用于制造业领域的储能效益分析。