An adaptive peak load regulation system for distribution network

Abstract

The present invention relates to the technical field of distribution network peak regulation, and discloses an adaptive peak regulation system for distribution network, including distribution network demand data analysis module, distribution network supply data analysis module, distribution network peak regulation execution module and distribution network early warning module, wherein the distribution network demand data analysis module includes a historical demand data acquisition unit, a historical demand change data calculation and analysis unit and a demand prediction unit. The system obtains the peak date of electricity consumption through the data in the historical electricity consumption data set, and selects the same type of date as the current peak date of electricity consumption for prediction during prediction, thereby ensuring the prediction of future peak electricity consumption, and at the same time, the current maximum supply is obtained by comprehensive calculation of the electricity stored in each power generation equipment, and the analysis and calculation are combined with the prediction result and the maximum supply, and at the same time, the analysis result is early-warned and judged in combination with the distribution network early warning module, thereby avoiding the occurrence of power energy shortage due to tight scheduling.

Description

Technical Field

[0001] The present invention relates to the technical field of peak load regulation in distribution networks, and in particular to an adaptive peak load regulation system for distribution networks. Background Art

[0002] With the increase of new energy access, increasing the deep peak-shaving and frequency-regulating capabilities of thermal power plants has become a new normal for the stable operation of the power grid. In order to actively respond to the requirements of the power grid, and under the premise of ensuring the safe operation of the units, it is necessary to continuously expand the peak-shaving depth and frequency-regulating capabilities, reduce the peak-shaving fuel consumption, increase the automatic input rate during the deep peak-shaving period, and minimize the labor intensity of operators. Most of the thermal power flexibility and peak-shaving and frequency-regulating technical solutions that have been implemented or planned to be implemented in China are combined with the operating characteristics of the units themselves, the peak-shaving and frequency-regulating goals of the plant, and the project cost investment and other comprehensive factors to conduct feasibility demonstration and economic cost analysis.

[0003] On the premise of ensuring the safe and stable operation of the unit, a practical and cost-effective transformation plan was selected to optimize the boiler, steam turbine, auxiliary equipment, heating, control system and other aspects. The main optimization technical solutions involved the construction of new electric energy storage, automatic generation capacity control (AGC) and primary frequency regulation optimization for auxiliary regulation of the unit's thermal system, stable combustion of boilers at low load, additional high-pressure heater transformation, wide-load denitrification, and removal of steam heating from low-pressure cylinders;

[0004] However, the impact of holidays or special days is not taken into account when dispatching units for peak load and frequency regulation, resulting in tight scheduling and power shortage. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an adaptive peak load regulation system for a distribution network, which has the advantages of predicting the peak value in advance and making good dispatching preparations, thereby solving the above-mentioned technical problems.

[0006] To achieve the above-mentioned object, the present invention provides the following technical solutions: an adaptive peak-shaving system for a distribution network, comprising a distribution network demand data analysis module, a distribution network supply data analysis module, a distribution network peak-shaving execution module and a distribution network early warning module;

[0007] The distribution network demand data analysis module includes a historical demand data acquisition unit, a historical demand change data calculation and analysis unit, and a demand prediction unit;

[0008] The historical demand data collection unit is used to collect electricity demand data in historical time to form a historical electricity data set. The historical demand data collection unit sends the formed historical electricity data set to the historical demand change data calculation and analysis unit. The historical demand change data calculation and analysis unit is used to combine the data in the historical electricity data set to obtain the peak electricity demand date. The demand prediction unit predicts the next peak electricity demand based on the peak electricity demand date. After the prediction is completed, the prediction result is sent to the distribution network peak load execution module;

[0009] The distribution network supply data analysis module includes a distribution network current supply power collection unit, a power storage data collection unit and a supply quantity calculation unit;

[0010] The current power supply collection unit of the distribution network is used to collect the power supply of all areas of the distribution network and calculate the total amount. The power storage data collection unit is used to collect the power stored in the power generation equipment in each area. The supply calculation unit is used to combine the total amount of power that can be dispatched by the distribution network collected by the current power supply collection unit of the distribution network and the power stored in each power generation equipment collected by the power storage data collection unit to comprehensively calculate the current maximum supply amount, and send the maximum supply amount to the distribution network peak load execution module;

[0011] The distribution network peak-shaving execution module analyzes and calculates the forecast results and the maximum supply quantity sent by the distribution network demand data analysis module and the distribution network supply data analysis module, and performs peak-shaving according to the calculation results;

[0012] The distribution network early warning module is used to monitor the calculation results of the distribution network peak load regulation, and if the calculation results are abnormal, an early warning is issued to the staff.

[0013] As a preferred technical solution of the present invention, the historical demand data collection unit collects the electricity demand data in the historical time to form the expression of the historical electricity data set as follows:

[0014] ;

[0015] ;

[0016] in, represents the historical electricity consumption dataset, They represent the historical electricity consumption data sets. Electricity demand datasets, , Historical electricity consumption data set Electricity demand datasets, , Historical electricity consumption data set Electricity demand datasets, They represent the historical electricity consumption data sets. The electricity demand data set Daily electricity demand data, , No. The electricity demand data set Daily electricity demand data, , No. The electricity demand data set Daily electricity demand data.

[0017] As a preferred technical solution of the present invention, the specific steps of the historical demand change data calculation and analysis unit to obtain the peak electricity consumption date are as follows:

[0018] Step A1: Get the The median of the distribution network electricity demand data in the electricity demand dataset;

[0019] Step A2: Calculate the The electricity demand data of each day in the electricity demand data set is relative to the The median growth rate of the distribution network power demand data in the power demand data set is calculated, and the date when the growth rate exceeds the set safety range is taken as the peak power consumption date, and all the peak power consumption dates and the corresponding growth rates are stored.

[0020] As a preferred technical solution of the present invention, the expression for calculating the growth rate in step A2 is as follows:

[0021] ;

[0022] in, Indicates The electricity demand data set Daily growth rate, Indicates The electricity demand data set Daily electricity demand data, Indicates The median value in the electricity demand dataset.

[0023] As a preferred technical solution of the present invention, the specific expression for prediction by the demand prediction unit is as follows:

[0024] ;

[0025] in, Demand forecast unit for date The prediction results of the prediction output are: Indicates the peak electricity consumption date of the same type as the current forecast date. represents the median electricity consumption in the current forecast year, Indicates the current year Daily electricity demand data, Indicates the current year sky, Represents the total of all electricity demand data for the current year.

[0026] As a preferred technical solution of the present invention, the current power supply collection unit of the distribution network collects and calculates the specific expression of the sum as follows:

[0027] ;

[0028] ;

[0029] in, represents the power supply data set, They represent the power supply of the first area, , No. The power supply in each region, , No. The power supply in each region, Indicates the total power supply of all regions at present. Indicates the total amount of power supplied.

[0030] As a preferred technical solution of the present invention, the expression for the power storage data acquisition unit to collect the power storage of power generation equipment in each region is as follows:

[0031] ;

[0032] in, Represents the data set of power storage of power generation equipment in each region, They represent the amount of electricity stored in the power generation equipment in the first area, , No. Power generation equipment in each region stores electricity. , No. The power generation equipment in each area stores electricity.

[0033] As a preferred technical solution of the present invention, the supply quantity calculation unit combines the total amount of electricity that can be dispatched by the distribution network currently supplied by the distribution network collection unit and the amount of electricity stored in each power generation equipment collected by the electricity storage data collection unit to comprehensively calculate the current maximum supply quantity. The specific expression is as follows:

[0034] ;

[0035] in, Indicates the current maximum supply, Indicates the total power supply of all regions at present. It represents the total amount of electricity stored by all power generation equipment in all regions.

[0036] As a preferred technical solution of the present invention, the distribution network peak-shaving execution module combines the forecast results and the maximum supply sent by the distribution network demand data analysis module and the distribution network supply data analysis module to perform analysis and calculation, and the expression for peak-shaving according to the calculation results is as follows: ;

[0037] in, Indicates the peak regulation margin, Demand forecast unit for date The prediction results of the prediction output are: Indicates the peak electricity consumption date of the same type as the current forecast date. represents the median electricity consumption in the current forecast year, Indicates the current year Daily electricity demand data, Indicates the current year sky, Represents the total electricity demand data for the current year. Indicates the current maximum supply, Indicates the total power supply of all regions at present. It represents the total amount of electricity stored by all power generation equipment in all regions.

[0038] As a preferred technical solution of the present invention, the steps of the distribution network early warning module monitoring the calculation results of the distribution network peak load regulation are as follows:

[0039] Step B1: If the peak regulation margin No warning is issued and peak load regulation is completed;

[0040] Step B2: If the peak regulation margin If the power generation equipment in each area is increased, the peak load margin will be recalculated. , until the peak margin , and complete the peak load regulation.

[0041] Compared with the prior art, the present invention provides an adaptive peak load regulation system for a distribution network, which has the following beneficial effects:

[0042] The present invention obtains the peak electricity consumption date through the data in the historical electricity consumption data set, and selects the same type of peak electricity consumption date as the current peak electricity consumption date for prediction, thereby ensuring the prediction of future peak electricity consumption. At the same time, the electricity stored in each power generation equipment is collected and comprehensively calculated to obtain the current maximum supply, and the prediction result and the maximum supply are analyzed and calculated. At the same time, the analysis result is combined with the distribution network early warning module to make an early warning judgment, thereby avoiding the occurrence of power shortage due to tight scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a schematic diagram of the system framework of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] See also Figure 1 , an adaptive peak-shaving system for a distribution network, comprising a distribution network demand data analysis module, a distribution network supply data analysis module, a distribution network peak-shaving execution module and a distribution network early warning module;

[0046] The distribution network demand data analysis module includes a historical demand data collection unit, a historical demand change data calculation and analysis unit, and a demand forecasting unit;

[0047] The historical demand data collection unit is used to collect the electricity demand data in the historical time to form a historical electricity data set. The historical demand data collection unit sends the formed historical electricity data set to the historical demand change data calculation and analysis unit. The historical demand data collection unit collects the electricity demand data in the historical time to form the historical electricity data set. The expression is as follows:

[0048] ;

[0049] ;

[0050] in, represents the historical electricity consumption dataset, They represent the historical electricity consumption data sets. Electricity demand datasets, , Historical electricity consumption data set Electricity demand datasets, , Historical electricity consumption data set Electricity demand datasets, They represent the historical electricity consumption data sets. The electricity demand data set Daily electricity demand data, , No. The electricity demand data set Daily electricity demand data, , No. The electricity demand data set The electricity demand data of the day, the historical demand change data calculation and analysis unit is used to combine the data in the historical electricity consumption data set to obtain the peak electricity consumption date. The specific steps of the historical demand change data calculation and analysis unit to obtain the peak electricity consumption date are: first obtain the The median of the distribution network power demand data in the power demand data set is used to calculate the The electricity demand data of each day in the electricity demand data set is relative to the The median growth rate of the distribution network power demand data in the power demand data set is calculated. The date when the growth rate exceeds the set safety range is regarded as the peak power consumption date. All peak power consumption dates and the corresponding growth rates are stored. The expression for calculating the growth rate is as follows:

[0051] ;

[0052] in, Indicates The electricity demand data set Daily growth rate, Indicates The electricity demand data set Daily electricity demand data, Indicates The demand forecasting unit predicts the next peak demand for electricity based on the peak date. The specific expression for the prediction by the demand forecasting unit is: ,in, Demand forecast unit for date The prediction results of the prediction output are: Indicates the peak electricity consumption date of the same type as the current forecast date. represents the median electricity consumption in the current forecast year, Indicates the current year Daily electricity demand data, Indicates the current year sky, It represents the sum of all electricity demand data in the current year. After the forecast is completed, the forecast result is sent to the distribution network peak load execution module;

[0053] The distribution network supply data analysis module includes a distribution network current supply power collection unit, a power storage data collection unit and a supply quantity calculation unit;

[0054] The current power supply collection unit of the distribution network is used to collect the current power supply of all areas of the distribution network and calculate the total The power storage data acquisition unit is used to collect the power stored in the power generation equipment in each region. The power collection unit of the current supply of the distribution network and the power storage data acquisition unit collect the power stored in the power generation equipment in each region. The expression is as follows:

[0055] ;

[0056] ;

[0057] in, Represents the data set of power storage of power generation equipment in each region, They represent the amount of electricity stored in the power generation equipment in the first area, , No. Power generation equipment in each region stores electricity. , No. The power generation equipment in each area stores electricity. represents the power supply data set, They represent the power supply of the first area, , No. The power supply in each region, , No. The supply quantity calculation unit is used to calculate the current maximum supply quantity by combining the total amount of electricity that can be dispatched by the distribution network currently collected by the distribution network current supply quantity collection unit and the amount of electricity stored in each power generation device collected by the electricity storage data collection unit. The supply quantity calculation unit calculates the current maximum supply quantity by combining the total amount of electricity that can be dispatched by the distribution network currently collected by the distribution network current supply quantity collection unit and the amount of electricity stored in each power generation device collected by the electricity storage data collection unit. ,in, Indicates the current maximum supply, Indicates the total power supply of all regions at present. It represents the sum of the electricity stored in each power generation equipment in all regions at present, and sends the maximum supply to the distribution network peak load execution module;

[0058] The distribution network peak-shaving execution module analyzes and calculates the forecast results and the maximum supply sent by the distribution network demand data analysis module and the distribution network supply data analysis module, and performs peak-shaving according to the calculation results. The expression of the distribution network peak-shaving execution module for peak-shaving is as follows: ;

[0059] in, Indicates the peak regulation margin, Demand forecast unit for date The prediction results of the prediction output are: Indicates the peak electricity consumption date of the same type as the current forecast date. represents the median electricity consumption in the current forecast year, Indicates the current year Daily electricity demand data, Indicates the current year sky, Represents the total electricity demand data for the current year. Indicates the current maximum supply, Indicates the total power supply of all regions at present. It refers to the total amount of electricity stored in all power generation equipment in all regions. Peak load regulation can effectively balance the supply and demand of electricity and avoid power shortage or overload during peak holiday periods, thereby improving the reliability of the power grid. At the same time, during peak demand periods, reasonable scheduling of different types of power stations can maximize the advantages of each power station and improve the overall power generation efficiency, thereby ensuring the stability and reliability of power supply, improving user satisfaction and enhancing the public's trust in power companies.

[0060] The distribution network early warning module is used to monitor the calculation results of the distribution network peak load regulation. If the calculation results are abnormal, an early warning will be issued to the staff. No warning is issued and the peak load regulation step is completed. This means that the current power is sufficient to cope with the predicted power generation. If the power generation equipment in each area is increased, the peak load margin will be recalculated. At this time, according to the current output of power generation equipment in each region and the power stored, it is not enough to cope with it. It is necessary to increase the output and increase the total amount of power stored in each power generation equipment to cope with it until the peak margin is , complete the peak load adjustment, if the constraints cannot be met after three cycles , a power restriction warning will be issued.

[0061] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An adaptive peak load regulation system for a distribution network, characterized in that: It includes distribution network demand data analysis module, distribution network supply data analysis module, distribution network peak load execution module and distribution network early warning module; The distribution network demand data analysis module includes a historical demand data acquisition unit, a historical demand change data calculation and analysis unit, and a demand prediction unit; The historical demand data collection unit is used to collect electricity demand data in historical time to form a historical electricity data set. The historical demand data collection unit sends the formed historical electricity data set to the historical demand change data calculation and analysis unit. The historical demand change data calculation and analysis unit is used to combine the data in the historical electricity data set to obtain the peak electricity demand date. The demand prediction unit predicts the next peak electricity demand based on the peak electricity demand date. After the prediction is completed, the prediction result is sent to the distribution network peak load execution module; The specific steps of the historical demand change data calculation and analysis unit to obtain the peak electricity consumption date are as follows: Step A1: Get the historical electricity consumption dataset The median of the distribution network electricity demand data in the electricity demand dataset; Step A2: Calculate the historical electricity consumption data set The power demand data of each day in the power demand data set is relative to the historical power demand data set. The median growth rate of the distribution network power demand data in the power demand data set is calculated, and the date when the growth rate exceeds the set safety range is regarded as the peak power consumption date, and all the peak power consumption dates and the corresponding growth rates are stored; The distribution network supply data analysis module includes a distribution network current supply power collection unit, a power storage data collection unit and a supply quantity calculation unit; The current power supply collection unit of the distribution network is used to collect the power supply of all areas of the distribution network and calculate the total amount. The power storage data collection unit is used to collect the power stored in the power generation equipment in each area. The supply calculation unit is used to combine the total amount of power that can be dispatched by the distribution network collected by the current power supply collection unit of the distribution network and the power stored in each power generation equipment collected by the power storage data collection unit to comprehensively calculate the current maximum supply amount, and send the maximum supply amount to the distribution network peak load execution module; The distribution network peak-shaving execution module analyzes and calculates the forecast results and the maximum supply quantity sent by the distribution network demand data analysis module and the distribution network supply data analysis module, and performs peak-shaving according to the calculation results; The distribution network early warning module is used to monitor the calculation results of the distribution network peak load regulation, and if the calculation results are abnormal, an early warning is issued to the staff.

2. The adaptive peak load regulation system for distribution network according to claim 1, characterized in that: The historical demand data collection unit is used to collect the electricity demand data in the historical time. The expression constituting the historical electricity demand data set is as follows: ， ， in, represents the historical electricity consumption dataset, They represent the historical electricity consumption data sets. Electricity demand datasets, , Historical electricity consumption data set Electricity demand datasets, , Historical electricity consumption data set Electricity demand datasets, They represent the historical electricity consumption data sets. The electricity demand data set Daily electricity demand data, , No. The electricity demand data set Daily electricity demand data, , No. The electricity demand data set Daily electricity demand data.

3. The adaptive peak load regulation system for distribution network according to claim 1, characterized in that: The expression for calculating the growth rate in step A2 is as follows: ， in, Indicates The electricity demand data set Daily growth rate, Indicates The electricity demand data set Daily electricity demand data, Indicates The median value in the electricity demand dataset.

4. The adaptive peak load regulation system for distribution network according to claim 3, characterized in that: The current power supply collection unit of the distribution network is used to collect the current power supply of all areas of the distribution network, and calculate the total specific expression as follows: ， ， in, represents the power supply data set, They represent the power supply of the first area, , No. The power supply in each region, , No. The power supply in each region, Indicates the total power supply of all regions at present. Indicates the total amount of power supplied.

5. The adaptive peak load regulation system for distribution network according to claim 4, characterized in that: The power storage data acquisition unit is used to collect the power stored in the power generation equipment in each area. The expression is as follows: ， in, Represents the data set of power storage of power generation equipment in each region, They represent the amount of electricity stored in the power generation equipment in the first area, , No. Power generation equipment in each region stores electricity. , No. The power generation equipment in each area stores electricity.

6. The adaptive peak load regulation system for distribution network according to claim 5, characterized in that: The supply quantity calculation unit is used to combine the total amount of electricity that can be dispatched by the distribution network currently supplied by the distribution network collection unit and the amount of electricity stored in each power generation equipment collected by the electricity storage data collection unit to comprehensively calculate and obtain the specific expression of the current maximum supply quantity as follows: ， in, Indicates the current maximum supply, Indicates the total power supply of all regions at present. It represents the total amount of electricity stored by all power generation equipment in all regions.

7. The adaptive peak load regulation system for distribution network according to claim 6, characterized in that: The steps of the distribution network early warning module for monitoring the calculation results of the distribution network peak load regulation are as follows: Step B1: If the peak regulation margin No warning is issued and peak load regulation is completed; Step B2: If the peak regulation margin If the power generation equipment in each area is increased, the peak load margin will be recalculated. , until the peak margin , and complete the peak load regulation.

Images