Electric energy distribution method and device based on substation operation and maintenance monitoring platform

Abstract

The present invention provides an electric energy distribution method and device based on a substation operation and maintenance monitoring platform, the method comprising: obtaining office electricity consumption history records from the substation operation and maintenance monitoring platform; obtaining production electricity consumption history records from the substation operation and maintenance monitoring platform; calculating the temperature adjustment electricity parameters of the office space according to the office electricity consumption history records; calculating the temperature power load according to the temperature adjustment power parameters and the weather forecast; calculating the production power load according to the production electricity consumption history records and the production plan; and distributing the electric energy stored in the energy storage device during the peak period according to the temperature power load and the production power load. The advantages of the energy storage device can be used to achieve reasonable distribution of electric energy, while meeting the office temperature adjustment and production electricity needs, reducing the peak period external network power consumption and external network operation pressure, and can effectively reduce the comprehensive electricity cost.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power operation and maintenance, and in particular relates to an electric energy distribution method and device based on a substation operation and maintenance monitoring platform. Background Art

[0002] Substations are the intermediate link between power plants and users, and play an important role in transforming and distributing electric energy. Substation operation and maintenance has a significant impact on the power system. The number of equipment in substation operation and maintenance workstations has increased year by year, and improving the efficiency of substation operation and maintenance has far-reaching significance for the development of the power system. In recent years, the automation technology of substations has been continuously improving. At present, more and more substations have gradually realized unmanned duty or on-duty. Through the remote substation operation and maintenance monitoring platform, various data of the substation can be monitored to eliminate power supply hazards.

[0003] During peak electricity consumption, the regional power grid is under great pressure. Economic means are usually used to reduce the peak load of regional electricity consumption, narrow the peak-to-valley difference, and improve the efficiency of power grid utilization through load management methods such as peak shaving, peak shifting, and peak-to-valley shifting. At present, some production enterprises use energy storage equipment to shift electricity peaks and realize power allocation in different time periods. In order to achieve better electricity use. However, energy storage equipment may face multiple electricity use purposes. For operating enterprises with independent substations, how to reasonably allocate the load power of energy storage equipment to multiple electricity use purposes is a problem that needs to be solved urgently. Summary of the invention

[0004] In view of this, the present invention aims to propose an electric energy distribution method and device based on a substation operation and maintenance monitoring platform to solve the technical problem in the prior art that the load power of energy storage equipment cannot be reasonably distributed to multiple electricity consumption purposes.

[0005] To achieve the above object, the technical solution of the present invention is achieved as follows:

[0006] On the one hand, an embodiment of the present invention provides an electric energy distribution method based on a substation operation and maintenance monitoring platform, comprising:

[0007] Obtain office electricity consumption history records from the substation operation and maintenance monitoring platform;

[0008] Obtaining production electricity consumption history records from the substation operation and maintenance monitoring platform;

[0009] Calculating the temperature control power parameters of the office space based on the office power consumption history;

[0010] Calculate the temperature power load according to the temperature adjustment power consumption parameter and the weather forecast;

[0011] Calculate the production power load based on the production power consumption history and production plan;

[0012] The electric energy stored in the energy storage device is distributed in the peak period according to the temperature power load and the production power load.

[0013] Furthermore, the calculation of the insulation power parameters of the office space according to the office power consumption history records includes:

[0014] The insulation power parameters are calculated based on the temperature difference of office electricity consumption, total insulation power consumption and insulation power consumption duration.

[0015] Furthermore, the distributing of electric energy stored in the energy storage device during peak power consumption hours according to the temperature power load and the production power load includes:

[0016] Determining the time point for starting the temperature regulating device in the flat section according to the temperature power load;

[0017] Determine the peak section temperature power load according to the time point of starting the temperature regulating device in the flat section;

[0018] The electric energy stored in the energy storage device is distributed in the peak section according to the peak section temperature power load and the production power load.

[0019] Furthermore, the step of distributing the electric energy stored in the energy storage device in the peak section according to the peak section temperature power load and the production power load includes:

[0020] Determine the optimal cost calculation model for energy consumption;

[0021] Iteratively calculate the total cost according to the optimal cost calculation model to obtain the ideal optimal cost;

[0022] Distribute the electric energy stored in the energy storage device during peak hours according to the ideal optimal cost;

[0023] The optimal energy consumption cost calculation model includes:

[0024]

[0025] N 热 =t 温 *θ*t 时长 -N 平热

[0026]

[0027] N 放电 ≤N 储能 *C

[0028] t1≤t 温 ≤t2

[0029] X is the total cost, N平热 is the electric energy required for pre-temperature adjustment of office space in the flat section, N 储能 is the electric energy required to charge the energy storage device in the flat section, ε 平 is the flat-term electricity price, N 生产 is the electric energy required for production per unit time, N 热 N is the electric energy required per unit time for temperature control in the peak office space. 放电 is the discharge amount of energy storage device per unit time, t 温 is the office temperature, θ is the insulation power parameter, C is the maximum discharge coefficient of the energy storage device, t1 is the lowest acceptable temperature of the office, t2 is the highest acceptable temperature of the office, and f(t) is the energy function of the energy storage device after the energy stored is lost over time.

[0030] Furthermore, the method further comprises:

[0031] The power consumption value of the power grid during the time period is calculated according to the ideal optimal cost, and the power consumption value of the power grid during the time period is reported.

[0032] On the other hand, an embodiment of the present invention further provides an electric energy distribution device based on a substation operation and maintenance monitoring platform, comprising:

[0033] An office electricity consumption history acquisition module is used to acquire office electricity consumption history records from the substation operation and maintenance monitoring platform;

[0034] A production electricity consumption history acquisition module, used to acquire production electricity consumption history records from the substation operation and maintenance monitoring platform;

[0035] A temperature adjustment power consumption parameter calculation module, used to calculate the temperature adjustment power consumption parameters of the office space according to the office power consumption history record;

[0036] A load prediction module, used to calculate the temperature power load according to the temperature adjustment power consumption parameters and the weather forecast;

[0037] A production power load calculation module, used to calculate the production power load according to the production power consumption history and production plan;

[0038] The distribution module is used to distribute the electric energy stored in the energy storage device during the peak period according to the temperature power load and the production power load.

[0039] Furthermore, the temperature adjustment power parameter calculation module is used to:

[0040] The insulation power parameters are calculated based on the temperature difference of office electricity consumption, total insulation power consumption and insulation power consumption duration.

[0041] Furthermore, the allocation module includes:

[0042] A time point determination unit, used to determine a time point for starting the temperature regulating device in the flat section according to the temperature power load;

[0043] A peak section temperature power load determination unit, used to determine the peak section temperature power load according to the time point of starting the temperature adjustment device in the flat section;

[0044] The electric energy distribution unit distributes the electric energy stored in the energy storage device in the peak section according to the peak temperature power load and the production power load.

[0045] Furthermore, the electric energy distribution unit comprises:

[0046] A model determination subunit is used to determine the optimal energy consumption cost calculation model;

[0047] An iterative calculation subunit, used for iteratively calculating the total cost according to the optimal cost calculation model to obtain an ideal optimal cost;

[0048] A distribution subunit, configured to distribute the electric energy stored in the energy storage device in a peak period according to the ideal optimal cost;

[0049] The optimal energy consumption cost calculation model includes:

[0050]

[0051] N 热 =t 温 *θ*t 时长 -N 平热

[0052]

[0053] N 放电 ≤N 储能 *C

[0054] t1≤t 温 ≤t2

[0055] X is the total cost, N 平热 is the electric energy required for pre-temperature adjustment of office space in the flat section, N 储能 is the electric energy required to charge the energy storage device in the flat section, ε 平 is the flat-term electricity price, N 生产 is the electric energy required for production per unit time, N 热 N is the electric energy required per unit time for temperature control in the peak office space. 放电 is the discharge amount of energy storage device per unit time, t 温is the office temperature, θ is the insulation power parameter, C is the maximum discharge coefficient of the energy storage device, t1 is the lowest acceptable temperature of the office, t2 is the highest acceptable temperature of the office, and f(t) is the energy function of the energy storage device after the energy stored is lost over time.

[0056] Furthermore, the device also includes:

[0057] The reporting module is used to calculate the power consumption value of the power grid in a time period according to the ideal optimal cost, and report the power consumption value of the power grid in the time period.

[0058] Compared with the prior art, the electric energy distribution method and device based on the substation operation and maintenance monitoring platform described in the present invention have the following advantages:

[0059] The power distribution method and device based on the substation operation and maintenance monitoring platform described in the present invention can obtain the office power consumption history record and the production power consumption history record through the substation operation and maintenance monitoring platform, and can calculate the temperature adjustment power consumption parameters of the office space according to the office power consumption history record; calculate the temperature power load according to the temperature adjustment power consumption parameters and the expected weather; calculate the production power load according to the production power consumption history record and the production plan; and distribute the power stored in the energy storage device during the peak period according to the temperature power load and the production power load. It can realize the reasonable distribution of power by utilizing the advantages of the energy storage device, reduce the peak period external network power consumption and external network operation pressure while meeting the office temperature adjustment and production power needs, and can effectively reduce the comprehensive power cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The accompanying drawings, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0061] Figure 1 A schematic diagram of a flow chart of a method for distributing electric energy based on a substation operation and maintenance monitoring platform provided in the first embodiment of the present invention;

[0062] Figure 2 It is a schematic diagram of the structure of the electric energy distribution device based on the substation operation and maintenance monitoring platform according to an embodiment of the present invention. DETAILED DESCRIPTION

[0063] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0064] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments.

[0065] Embodiment 1

[0066] Figure 1The electric energy distribution method based on the substation operation and maintenance monitoring platform provided in the first embodiment of the present invention is applicable to the scenario of reasonably distributing the electric energy stored in the energy storage device based on the substation operation and maintenance monitoring platform, and can be implemented by the electric energy distribution device based on the substation operation and maintenance monitoring platform. Figure 1 The electric energy distribution method based on the substation operation and maintenance monitoring platform comprises:

[0067] S110, obtaining office electricity consumption history records from the substation operation and maintenance monitoring platform.

[0068] In this embodiment, the main electricity consumption of the factory includes: production electricity and office electricity, among which the largest office electricity consumption is central air conditioning electricity. The substation operation and maintenance monitoring platform can obtain the electricity consumption of the office building and the production workshop through the splitter in the substation, and can draw a time-sharing curve of the office electricity consumption history record according to the electricity consumption.

[0069] S120, obtaining production electricity consumption history records from the substation operation and maintenance monitoring platform.

[0070] Correspondingly, the power consumption of the office building and the production workshop can be obtained through the splitter in the substation, and a time-sharing curve of the production power consumption history record can be drawn based on the power consumption.

[0071] S130: Calculate power parameters for temperature adjustment in the office space according to the office power consumption history records.

[0072] In this embodiment, considering other electricity consumption in the office, such as: lighting, network and computer power consumption is relatively low, the total electricity consumption in the office can be approximately estimated as temperature control electricity. Alternatively, the rated power of all equipment in the office building can be added to obtain the accurate temperature control electricity in the office. Since there will be a certain amount of heat loss in the office building, in this embodiment, the office power consumption history record can be used to calculate the temperature control electricity parameters of the office. The temperature control electricity parameters can be used to characterize the electric energy required for the unit temperature change of the office. Exemplarily, the insulation electricity parameters can be calculated based on the temperature difference before and after the office power temperature control work, the total insulation electricity and the insulation electricity duration. Exemplarily, the temperature control electricity parameters can be calculated based on the ratio between the total temperature control electricity consumption and the temperature change and the insulation electricity working time.

[0073] S140, calculating the temperature power load according to the temperature adjustment power consumption parameter and the weather forecast.

[0074] For example, the temperature change in the office environment can be determined according to the weather forecast, and the temperature adjustment power parameters can be used to calculate the temperature power load. Alternatively, the temperature difference of the preset suitable temperature of the office environment can be determined according to the weather forecast, and the temperature power load can be calculated according to the temperature difference and the temperature adjustment power parameters. Furthermore, the temperature power load of different time periods can be accurately calculated according to the time-sharing weather forecast.

[0075] S150, calculating the production power load according to the production power consumption history record and the production plan.

[0076] The production power load is closely related to the production plan for the day. For example, the power load corresponding to the production project can be determined based on the total daily power consumption in the production power consumption history and the various power-consuming equipment actually used in the daily production, and the usage period. And the working hours and working periods of various power-consuming production equipment used to complete the production plan for the day can be determined based on the production plan for the day, and the total production power load for each period can be calculated based on the power load corresponding to each power-consuming production equipment obtained by the above calculation.

[0077] S160, distributing the electric energy stored in the energy storage device during the peak period according to the temperature power load and the production power load.

[0078] Due to the existence of different electricity prices between peak and off-peak periods, as well as the corresponding maximum discharge power requirements of energy storage devices and the corresponding time energy storage losses, reasonable allocation of the temperature power load and production power load corresponding to the electricity stored in the energy storage device can improve the utilization rate of the electricity stored in the energy storage device, thereby reducing the impact on electricity consumption during peak periods of the power grid and reducing production costs.

[0079] In this embodiment, distributing the electric energy stored in the energy storage device in the peak section according to the temperature power load and the production power load may include: determining the time point of starting the temperature regulation device in the flat section according to the temperature power load; determining the peak section temperature power load according to the time point of starting the temperature regulation device in the flat section; distributing the electric energy stored in the energy storage device in the peak section according to the peak section temperature power load and the production power load.

[0080] Usually, the price of electricity during the off-peak period is quite different from the price of electricity during the peak period, and the end time of the off-peak period is relatively close to the starting time of the daily working hours. When the difference between the outside weather and the indoor temperature suitable for human body is large, the temperature control equipment can be started in advance before the starting time of the working day and in the off-peak period to reduce the peak power consumption and reduce the operating cost.

[0081] For example: the working hours are 8:00-18:00, and the peak time is 8:00-18:00. Therefore, the start time of the temperature control device can be determined according to the comfortable temperature, the outside temperature and the insulation power parameters.

[0082] Since the start time of the temperature regulating device determines the indoor temperature at the start time of the peak period, the temperature power load of the peak period in the entire working time period can be determined according to the time point of starting the temperature regulating device in the flat period. And the electric energy stored in the energy storage device can be distributed in the peak period according to the temperature power load and the production power load.

[0083] Exemplarily, distributing the electric energy stored in the energy storage device in the peak period according to the peak temperature power load and the production power load may include: determining an optimal energy consumption cost calculation model; iteratively calculating the total cost according to the optimal cost calculation model to obtain an ideal optimal cost; and distributing the electric energy stored in the energy storage device in the peak period according to the ideal optimal cost.

[0084] The optimal energy consumption cost calculation model includes:

[0085]

[0086] N 热 =t 温 *θ*t 时长 -N 平热

[0087]

[0088] N 放电 ≤N 储能 *C

[0089] t1≤t 温 ≤t2

[0090] X is the total cost, N 平热 is the electric energy required for pre-temperature adjustment of office space in the flat section, N 储能 is the electric energy required to charge the energy storage device in the flat section, ε 平 is the flat-term electricity price, N 生产 is the electric energy required for production per unit time, N 热 N is the electric energy required per unit time for temperature control in the peak office space. 放电 is the discharge amount of energy storage device per unit time, t 温 is the office temperature, θ is the insulation power parameter, C is the maximum discharge coefficient of the energy storage device, t1 is the lowest acceptable temperature of the office, t2 is the highest acceptable temperature of the office, and f(t) is the energy function of the energy storage device after the energy stored is lost over time.

[0091] Since energy storage equipment has limitations on maximum discharge power and timed attenuation, and some production equipment does not work continuously during the working hours, the production power load changes over time, and the temperature control equipment ensures that the indoor temperature changes within a suitable range, and it is not actually always in a power-consuming working state. Therefore, it is necessary to reasonably distribute the electrical energy stored in the energy storage equipment to ensure that the electrical energy of the energy storage equipment can be reasonably used up and to improve the utilization efficiency of the energy storage equipment.

[0092] Therefore, in this embodiment, an optimal energy consumption cost calculation model can be determined. Optionally, the optimal energy consumption cost calculation model includes:

[0093]

[0094] N 热 =t 温 *θ*t 时长 -N 平热

[0095]

[0096] N 放电 ≤N 储能 *C

[0097] t1≤t 温 ≤t2

[0098] X is the total cost, N 平热 is the electric energy required for pre-temperature adjustment of office space in the flat section, N 储能 is the electric energy required to charge the energy storage device in the flat section, ε 平 is the flat-term electricity price, N 生产 is the electric energy required for production per unit time, N 热 N is the electric energy required per unit time for temperature control in the peak office space. 放电 is the discharge amount of energy storage device per unit time, t 温 is the office temperature, θ is the insulation power parameter, C is the maximum discharge coefficient of the energy storage device, t1 is the lowest acceptable temperature of the office, t2 is the highest acceptable temperature of the office, and f(t) is the energy function of the energy storage device after the energy stored is lost over time.

[0099] In the process of distributing electricity to energy storage devices, the overall goal is to minimize the total cost. The following constraints must also be met:

[0100]

[0101] N 放电 ≤N 储能 *C

[0102] t1≤t温 ≤t2.

[0103] After determining the optimal energy consumption cost calculation model, iteration can be performed in the direction of the maximum or minimum value. The maximum value can be the total electricity cost after removing the discharge capacity of the energy storage device, and the minimum value can be the total electricity cost after all the maximum electric energy that the energy storage device can store is used in the peak period. And set the corresponding step size for iteration to obtain the optimal X value, that is, the ideal optimal cost. The calculation result of the X value can meet the above constraints. After determining the optimal X value, the energy storage device in the corresponding time period can be determined to be allocated to the temperature power load and the production power load according to the maximum discharge power. In order to achieve the reduction of peak external network power consumption and external network operation pressure while meeting the office temperature regulation and production electricity consumption, and can effectively reduce the comprehensive electricity cost.

[0104] The embodiment of the present invention can obtain the office electricity consumption history record and the production electricity consumption history record through the substation operation and maintenance monitoring platform, and can calculate the temperature adjustment electricity parameters of the office space according to the office electricity consumption history record; calculate the temperature power load according to the temperature adjustment power parameters and the expected weather; calculate the production power load according to the production electricity consumption history record and the production plan; and distribute the electricity stored in the energy storage device in the peak period according to the temperature power load and the production power load. It can realize the reasonable distribution of electricity by utilizing the advantages of the energy storage device, while meeting the office temperature adjustment and production electricity needs, reducing the peak period external network power consumption and external network operation pressure, and can effectively reduce the comprehensive electricity cost.

[0105] In a preferred implementation of this embodiment, the method may further add the following steps: calculate the power consumption value of the power grid in the time period according to the ideal optimal cost, and report the power consumption value of the power grid in the time period. At present, the power grid requires each power user to report the time-sharing power demand of the day in advance the day before, so as to effectively dispatch the power grid power. And it is clearly required that the time-sharing power demand and the actual power demand must be within a certain error range. Therefore, in this embodiment, the output distribution of the energy storage device for each corresponding time period can be calculated according to the above method, and the production power load and temperature power load can be predicted based on the prediction, and the power grid power required for time-sharing can be calculated. It can further improve the accuracy of the time-sharing power consumption prediction. Improve the operation efficiency of the power grid. Reduce production costs.

[0106] Embodiment 2

[0107] Figure 2 This is a schematic diagram of the structure of the power distribution device based on the substation operation and maintenance monitoring platform according to the second embodiment of the present invention, see Figure 2 , the local optimization control device for P2P power trading comprises:

[0108] The office electricity consumption history record acquisition module 210 is used to acquire the office electricity consumption history record from the substation operation and maintenance monitoring platform;

[0109] A production power consumption history record acquisition module 220, used to acquire production power consumption history records from the substation operation and maintenance monitoring platform;

[0110] A temperature adjustment power consumption parameter calculation module 230, for calculating the temperature adjustment power consumption parameters of the office space according to the office power consumption history records;

[0111] A load prediction module 240, for calculating the temperature power load according to the temperature-adjusted power usage parameter and the weather forecast;

[0112] A production power load calculation module 250, used to calculate the production power load according to the production power consumption history record and the production plan;

[0113] The allocation module 260 is used to allocate the electric energy stored in the energy storage device during the peak period according to the temperature power load and the production power load.

[0114] The power distribution device based on the substation operation and maintenance monitoring platform provided in the embodiment of the present invention can obtain the office power consumption history record and the production power consumption history record through the substation operation and maintenance monitoring platform, and can calculate the temperature adjustment power consumption parameters of the office space according to the office power consumption history record; calculate the temperature power load according to the temperature adjustment power consumption parameters and the expected weather; calculate the production power load according to the production power consumption history record and the production plan; and distribute the power stored in the energy storage device in the peak period according to the temperature power load and the production power load. It can realize the reasonable distribution of electric energy by utilizing the advantages of the energy storage device, reduce the peak period external network power consumption and external network operation pressure while meeting the office temperature adjustment and production power needs, and can effectively reduce the comprehensive electricity cost.

[0115] In a preferred implementation of this embodiment, the temperature adjustment electrical parameter calculation module is used to:

[0116] The insulation power parameters are calculated based on the temperature difference of office electricity consumption, total insulation power consumption and insulation power consumption duration.

[0117] In a preferred implementation of this embodiment, the allocation module includes:

[0118] A time point determination unit, used to determine a time point for starting the temperature regulating device in the flat section according to the temperature power load;

[0119] A peak section temperature power load determination unit, used to determine the peak section temperature power load according to the time point of starting the temperature adjustment device in the flat section;

[0120] The electric energy distribution unit distributes the electric energy stored in the energy storage device in the peak section according to the peak temperature power load and the production power load.

[0121] In a preferred implementation of this embodiment, the electric energy distribution unit includes:

[0122] A model determination subunit is used to determine the optimal energy consumption cost calculation model;

[0123] An iterative calculation subunit, used for iteratively calculating the total cost according to the optimal cost calculation model to obtain an ideal optimal cost;

[0124] A distribution subunit, configured to distribute the electric energy stored in the energy storage device in a peak period according to the ideal optimal cost;

[0125] The optimal energy consumption cost calculation model includes:

[0126]

[0127] N 热 =t 温 *θ*t 时长 -N 平热

[0128]

[0129] N 放电 ≤N 储能 *C

[0130] t1≤t 温 ≤t2

[0131] X is the total cost, N 平热 is the electric energy required for pre-temperature adjustment of office space in the flat section, N 储能 is the electric energy required to charge the energy storage device in the flat section, ε 平 is the flat-term electricity price, N 生产 is the electric energy required for production per unit time, N 热 N is the electric energy required per unit time for temperature control in the peak office space. 放电 is the discharge amount of energy storage device per unit time, t 温 is the office temperature, θ is the insulation power parameter, C is the maximum discharge coefficient of the energy storage device, t1 is the lowest acceptable temperature of the office, t2 is the highest acceptable temperature of the office, and f(t) is the energy function of the energy storage device after the energy stored is lost over time.

[0132] In a preferred implementation of this embodiment, the device further includes:

[0133] The reporting module is used to calculate the power consumption value of the power grid in a time period according to the ideal optimal cost, and report the power consumption value of the power grid in the time period.

[0134] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0135] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for distributing electric energy based on a substation operation and maintenance monitoring platform, characterized in that: include: Obtain office electricity consumption history records from the substation operation and maintenance monitoring platform; Obtaining production electricity consumption history records from the substation operation and maintenance monitoring platform; Calculating the temperature control power parameters of the office space based on the office power consumption history; Calculate the temperature power load according to the temperature adjustment power consumption parameter and the weather forecast; Calculate the production power load based on the production power consumption history and production plan; Distribute the electric energy stored in the energy storage device in the peak period according to the temperature power load and the production power load; The distributing the electric energy stored in the energy storage device during the peak power consumption period according to the temperature power load and the production power load includes: Determining the time point for starting the temperature regulating device in the flat section according to the temperature power load; Determine the peak section temperature power load according to the time point of starting the temperature regulating device in the flat section; The electric energy stored in the energy storage device is distributed in the peak section according to the peak section temperature power load and the production power load.

2. The method according to claim 1, characterized in that The calculation of the insulation power parameters of the office space according to the office power consumption history records includes: The insulation power parameters are calculated based on the temperature difference of office electricity consumption, total insulation power consumption and insulation power consumption duration.

3. The method according to claim 1, characterized in that The step of distributing electric energy stored in the energy storage device in the peak section according to the peak section temperature electric load and the production electric load includes: Determine the optimal cost calculation model for energy consumption; Iteratively calculate the total cost according to the optimal cost calculation model to obtain the ideal optimal cost; Distribute the electric energy stored in the energy storage device during peak hours according to the ideal optimal cost; The optimal energy consumption cost calculation model includes: N 热 =t 温 *θ*t 时长 -N 平热 N 放电 ≤N 储能 *C t1≤t 温 ≤t2 X is the total cost, N 平热 is the electric energy required for pre-temperature adjustment of office space in the flat section, N 储能 is the electric energy required to charge the energy storage device in the flat section, ε 平 is the flat-term electricity price, N 生产 is the electric energy required for production per unit time, N 热 N is the electric energy required per unit time for temperature control in the peak office space. 放电 is the discharge amount of energy storage device per unit time, t 温 is the office temperature, θ is the insulation power parameter, C is the maximum discharge coefficient of the energy storage device, t1 is the lowest acceptable temperature of the office, t2 is the highest acceptable temperature of the office, and f(t) is the energy function of the energy storage device after the energy stored is lost over time.

4. The method according to claim 3, characterized in that The method further comprises: The power consumption value of the power grid during the time period is calculated according to the ideal optimal cost, and the power consumption value of the power grid during the time period is reported.

5. An electric energy distribution device based on a substation operation and maintenance monitoring platform, characterized in that: include: An office electricity consumption history acquisition module is used to acquire office electricity consumption history records from the substation operation and maintenance monitoring platform; A production electricity consumption history acquisition module, used to acquire production electricity consumption history records from the substation operation and maintenance monitoring platform; A temperature adjustment power consumption parameter calculation module, used to calculate the temperature adjustment power consumption parameters of the office space according to the office power consumption history record; A load prediction module, used to calculate the temperature power load according to the temperature adjustment power consumption parameters and the weather forecast; A production power load calculation module, used to calculate the production power load according to the production power consumption history and production plan; A distribution module, used for distributing the electric energy stored in the energy storage device in a peak period according to the temperature power load and the production power load; The allocation module comprises: A time point determination unit, used to determine a time point for starting the temperature regulating device in the flat section according to the temperature power load; A peak section temperature power load determination unit, used to determine the peak section temperature power load according to the time point of starting the temperature adjustment device in the flat section; The electric energy distribution unit distributes the electric energy stored in the energy storage device in the peak section according to the peak temperature power load and the production power load.

6. The device according to claim 5, characterized in that The temperature regulation power parameter calculation module is used to: The insulation power parameters are calculated based on the temperature difference of office electricity consumption, total insulation power consumption and insulation power consumption duration.

7. The device according to claim 5, characterized in that The electric energy distribution unit comprises: A model determination subunit is used to determine the optimal energy consumption cost calculation model; An iterative calculation subunit, used for iteratively calculating the total cost according to the optimal cost calculation model to obtain an ideal optimal cost; A distribution subunit, configured to distribute the electric energy stored in the energy storage device in a peak period according to the ideal optimal cost; The optimal energy consumption cost calculation model includes: N 热 =t 温 *θ*t 时长 -N 平热 N 放电 ≤N 储能 *C t1≤t 温 ≤t2 X is the total cost, N 平热 is the electric energy required for pre-temperature adjustment of office space in the flat section, N 储能 is the electric energy required to charge the energy storage device in the flat section, ε 平 is the flat-term electricity price, N 生产 is the electric energy required for production per unit time, N 热 N is the electric energy required per unit time for temperature control in the peak office space. 放电 is the discharge amount of energy storage device per unit time, t 温 is the office temperature, θ is the insulation power parameter, C is the maximum discharge coefficient of the energy storage device, t1 is the lowest acceptable temperature of the office, t2 is the highest acceptable temperature of the office, and f(t) is the energy function of the energy storage device after the energy stored is lost over time.

8. The device according to claim 7, characterized in that The device also includes: The reporting module is used to calculate the power consumption value of the power grid in a time period according to the ideal optimal cost, and report the power consumption value of the power grid in the time period.

Images