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Aggregated load scheduling method based on demand side load peak regulation potential parameter prediction

A load scheduling and demand-side technology, applied in image data processing, complex mathematical operations, data processing applications, etc., can solve problems such as power supply shortages and threats to power system stability, achieve smooth power peaks and valleys, and promote new energy consumption. Accommodating and flexible load response fast effect

Inactive Publication Date: 2021-08-03
STATE GRID ZHEJIANG ELECTRIC POWER CO LTD HANGZHOU POWER SUPPLY CO +2
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Problems solved by technology

[0002] The peak-to-valley difference of grid load increases year by year, especially some seasonal and periodic high power demands, which may lead to a shortage of power supply and threaten the stability of the power system

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  • Aggregated load scheduling method based on demand side load peak regulation potential parameter prediction
  • Aggregated load scheduling method based on demand side load peak regulation potential parameter prediction
  • Aggregated load scheduling method based on demand side load peak regulation potential parameter prediction

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Embodiment Construction

[0039] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0040] Such as figure 2 Shown, the present invention comprises the following steps:

[0041] Step 1: According to the historical daily maximum temperature data in the summer weather forecast, select N days with the lowest daily maximum temperature among M days; summer refers to June-September. In specific implementation, M days is 30 days, and N days is 5 days. Based on the calculation of the load data of 1174 households in a certain place in September 2019, the five days with the highest temperature and the lowest temperature on September 1, 2, 3, 20, and 21 were selected.

[0042] Step 2: If figure 1 As shown, the average value of the daily load curve of N days is calculated and used as the baseline load curve of the current M day; that is, the aggregate load rigidity power change curve of the current month, such as image 3 sh...

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Abstract

The invention discloses an aggregation load scheduling method based on demand side load peak regulation potential parameter prediction. The method comprises the following steps: 1, selecting N days with the lowest daily highest temperature in M days; 2, calculating an average value of daily load curves of N days and taking the average value as a baseline load curve of the current M days; 3, subtracting the baseline load curve from the daily load curve to obtain an adjustable power change curve; 4, calculating peak regulation potential parameters of the current M days; 5, fitting by using a least square method to obtain a daily maximum temperature-peak shaving potential parameter curve; 6, according to the predicted daily maximum temperature, calculating by using the daily maximum temperature-peak regulation potential parameter curve to obtain a corresponding predicted peak regulation potential parameter, and calling the aggregation load by the power grid dispatching server by using the predicted peak regulation potential parameter. According to the method, the historical air temperature and the user power consumption data are fully excavated and utilized for solving the high-precision aggregated load base line, and then the peak regulation potential parameters of the aggregated load are accurately predicted.

Description

technical field [0001] The invention belongs to an aggregated load dispatching method in the technical fields of electric power systems and smart grids, and specifically relates to an aggregated load dispatching method based on prediction of demand-side load peak-shaving potential parameters. Background technique [0002] The peak-to-valley difference of grid load increases year by year, especially some seasonal and periodic high power demands, which may lead to a shortage of power supply and threaten the stability of the power system. With the development of information and communication technology, the interaction between the "source, network and load" of the power system has become more in-depth, and the demand side response has played an increasingly important role in the operation and control of the power system. The aggregated demand-side flexible load can provide peak-shaving services for the power system, and its core is that the flexible load can adjust its own powe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06F16/2458G06F17/18G06T11/20
CPCG06Q10/06315G06Q50/06G06F16/2462G06F16/2477G06F17/18G06T11/203
Inventor 金正军李磊申鹂王奕快王丰施禾青高琼吴琼丁一于海跃谢康
Owner STATE GRID ZHEJIANG ELECTRIC POWER CO LTD HANGZHOU POWER SUPPLY CO
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