Power system load side energy-saving energy management system

Abstract

The invention relates to the field of load side energy-saving energy management, in particular to a power system load side energy-saving energy management system, which comprises a data acquisition module, a data analysis module, an intelligent control module, an energy-saving optimization module and a night electricity storage module. The intelligent control module carries out processing according to the signals sent by the data analysis module, the energy-saving optimization module carries out energy saving on different areas of a commercial building according to the received energy-saving signals, and the night electricity storage module carries out charging and electric energy storage according to the off-peak period of the power grid load at night. Energy waste is reduced, the electricity utilization cost of a user is reduced, and the method has important significance in promoting sustainable development and coping with climate changes.

Description

Technical Field

[0001] The present invention relates to the field of load-side energy-saving energy management, and in particular to an energy-saving energy management system for a load side of an electric power system. Background Art

[0002] With the continuous development of the global economy and the acceleration of industrialization and urbanization, energy demand has shown a trend of sustained growth. In the industrial field, the construction of new factories, the expansion of production lines and the upgrading of production technology all require more electricity support. Emerging industries such as electronic manufacturing and new energy vehicles have an increasingly strong demand for electricity.

[0003] In the commercial field, large shopping malls, office buildings, hotels and other buildings are constantly emerging. The air conditioners, lighting, elevators and other equipment in these commercial facilities consume a lot of electricity. At the same time, the improvement of people's living standards has also led to an increase in the types and number of household appliances, and the demand for electricity by residents has steadily increased. On the load side of the power system, the problem of energy waste is more prominent. In the commercial and civil fields, air conditioners, lighting and other equipment in buildings are often overused or set irrationally. The air conditioner temperature is set too low or too high, and the lighting fixtures are turned on for a long time without being turned off in time in unmanned areas, all of which cause unnecessary energy consumption. The development of automatic control technology has made intelligent control of power equipment possible. The control equipment automatically adjusts the operating status and parameters of the equipment according to the preset control strategy and real-time operating data. In the air conditioning system, the intelligent controller can automatically adjust the cooling or heating power according to factors such as indoor and outdoor temperature and personnel activities to achieve energy-saving operation. Summary of the invention

[0004] In order to solve the technical problems raised by the above-mentioned background technology, the present invention provides an energy-saving energy management system for the load side of an electric power system.

[0005] The purpose of the present invention can be achieved through the following technical solutions: The present invention is an energy-saving energy management system for the load side of an electric power system, comprising a data acquisition module, a data analysis module, an intelligent control module, an energy-saving optimization module, a nighttime electricity storage module and a data center.

[0006] The data acquisition module collects various parameter values ​​in real time by installing various types of sensors on various power load devices. The specific acquisition method is as follows: Current sensors, voltage sensors, power sensors, etc. are installed at power load equipment and lines. Power load equipment includes large motors in industrial production workshops, central air-conditioning units in commercial buildings, and smart meters in residents' homes.

[0007] The current parameters of each power load device are collected in real time by current sensors, and the current parameters of each power load device are obtained in real time.

[0008] The voltage parameters of each power load device are collected in real time by the voltage sensor, and the voltage parameters of each power load device are obtained in real time.

[0009] The input end of the data acquisition module is connected to the output end of each industrial park management system to obtain the daily production tasks of each industrial park. The output end of the data acquisition module is connected to the input end of the data analysis module to send the obtained parameters to the data analysis module.

[0010] The data analysis module analyzes the parameter information received from the data acquisition module. The specific acquisition process is as follows: The output end of the data analysis module is connected to the output end of the intelligent control module. Taking the power base station as the origin, the location information of each power load device within the radius of the power base station is obtained in real time through the positioning sensor, the position of each power load device is marked, and the marked position is obtained. The analysis is performed according to the parameter values ​​of each industrial park obtained by the data acquisition module. Specifically, the current parameters and voltage parameters of each power load device obtained by the data acquisition module are extracted, and the power consumption value of each load device is obtained through the current parameters and voltage parameters. The power consumption value corresponding to each power load device in a specific period of time is collected, and the preset standard power consumption value in the data center is extracted. The actual power consumption value is compared with the preset standard power consumption value. If the actual power consumption value is less than the preset standard power consumption value, it means that the corresponding power load device has normal power consumption and is marked as a normal power consumption device. On the contrary, it means that the power consumption of the corresponding power load device is too high, so it is marked as a high power consumption device, and a high power consumption signal is generated and sent to the intelligent control module.

[0011] The smart meter is used to monitor the current electricity consumption parameters of each residential user. When the state of each household appliance is turned on, the on-time of the current household appliance is monitored. The on-time of the current household appliance is obtained until the current household appliance stops being turned on. The corresponding power consumption value of the household appliance is obtained according to the on-time. All the on-times and power consumption values ​​corresponding to each household appliance on that day are collected in real time to obtain the total on-time of each household appliance on that day. The total on-time is marked as LK. The total power consumption value corresponding to each household appliance is obtained according to the total on-time, marked as YT. The average power consumption value is obtained according to the total power consumption value and the total on-time, marked as YP, and the formula is used to calculate The efficiency value is obtained, where C1, C2 and C3 are preset proportional coefficients. The preset efficiency threshold of the data center is extracted, and the actual efficiency value is compared with the preset efficiency threshold. If the actual efficiency value is less than the preset efficiency value, it means that the electricity consumption of the corresponding residential user is normal. Otherwise, it means that the electricity consumption is too high, and an abnormal signal is generated and sent to the intelligent control module.

[0012] The power consumption of commercial buildings is analyzed and divided into different areas, including office areas, public rest areas and commercial areas. The number of people in each area in each time period is monitored in real time through the intelligent monitoring system. The monitoring time periods include 8 am to 12 pm, 12 pm to 4 pm and 4 pm to 8 pm. The number of people in each area in each time period is obtained and marked as RI. Then the area image of the area within the range is intercepted by the intelligent monitoring system to obtain the area image. According to the image proportional value of the intelligent monitoring system, the area image and the image proportional value are matched to obtain the actual area of ​​the area, marked as KL. The number of people in each area and the actual area of ​​the area are calculated. Get the population density value GS corresponding to each area, extract the standard population density value of the data center, compare the population density value corresponding to each area with the standard population density value, and if the population density value corresponding to each area is less than the standard population density value, generate an energy-saving signal and send it to the intelligent control module.

[0013] The intelligent control module processes the signals sent by the data analysis module respectively, and the specific acquisition process is as follows: By receiving high power consumption signals, the historical production low periods of the data center industrial park are extracted, and the production tasks of the day obtained by the data acquisition module are matched with the historical production low periods. If the production task of the day is within the production low period, the corresponding production task date is marked as a low production day. The output end of the intelligent control module is connected to the input end of the industrial park management system to obtain the number of power load devices in the corresponding motion state on the low production day, marked as KH. The motion period of each power load device is intercepted through the monitoring end to obtain the motion period TH of each power load device, and the power consumption value of each normal power consumption device and the power consumption value of the high power consumption device in the corresponding period are obtained, marked as CW and HI respectively. The formula is used to calculate the power consumption of each normal power consumption device and the power consumption value of the high power consumption device through the obtained number of load devices, motion period, power consumption value of normal power consumption equipment and power consumption value of high power consumption equipment. The energy consumption motion value FDi of each power load device is obtained, where J1, J2 and J3 are preset proportional coefficients. The preset energy consumption motion value of the data center is extracted, and the actual energy consumption motion value is compared with the preset energy consumption motion value. If the actual energy consumption motion value is greater than the preset energy consumption motion value, it means that the power consumption is too high. By installing a frequency converter on each power load device with excessively large energy consumption motion value, the industrial park management system sends a consumption reduction instruction to the frequency converter terminal. The frequency converter terminal receives the consumption reduction instruction, reduces the motor speed of the current power load device, and reduces power consumption.

[0014] Upon receiving an abnormal signal, a smart socket is installed on the plug of each electrical appliance, the location of the corresponding residential user is obtained through the smart meter, and the corresponding high-power consumption household appliances are obtained in real time. The energy management system sends a shutdown command to the corresponding smart socket. The smart socket receives the shutdown command and shuts down the corresponding high-power consumption household appliances.

[0015] The energy-saving optimization module saves energy in different areas of the commercial building according to the received energy-saving signals. The specific acquisition process is as follows: The input end of the data analysis module is connected to the output end of the energy-saving optimization module. By receiving the energy-saving signal, the population density value of each area is monitored in real time through the monitoring end, and the acquired population density image is sent to the energy control terminal. The energy control terminal receives the population density image and turns on the air-conditioning equipment according to three population density levels according to the population density image. The three population densities include low population density, medium population density and high population density. For the low population density level, the air-conditioning temperature setting value is increased to 27-28°C in the intelligent control cooling mode, and the temperature setting value is lowered to 23-24°C in the heating mode, the fan speed is reduced, and the wind speed is adjusted to the low wind speed gear; for the medium density personnel level, the intelligent control cooling mode is maintained at 25-26°C, the heating mode is maintained at 22-23°C, and the wind speed is adjusted to the medium wind speed gear; for the high density personnel level, the intelligent control cooling mode is maintained at 20-21°C, the heating mode is maintained at 20-21°C, and the wind speed is adjusted to the high wind speed gear.

[0016] By installing light sensors in various areas, the indoor natural light illumination is monitored in real time. In areas with sufficient natural light during the day, the brightness of artificial lighting is automatically adjusted according to the natural light intensity. Specifically, the light sensor processing terminal obtains the current natural light illumination in real time, generates control instructions based on the current natural light illumination and sends them to the intelligent lighting system. The intelligent lighting system receives the control instructions and adjusts the light brightness according to five levels of natural light illumination. The five light brightnesses include low brightness, medium-low brightness, medium brightness, medium-high brightness and high brightness.

[0017] The nighttime power storage module is charged during the low load period of the nighttime power grid to store electric energy. The specific acquisition process is as follows: At night, the controller terminal of the power storage module performs self-inspection and initialization operations, obtains the corresponding detection circuit and the connection position of the power grid through the positioning sensor, extracts the charging period and charging power preset by the data center, and generates a charging start instruction based on the charging period and charging power preset by the controller and sends it to the charger. The charger receives the charging start instruction and starts charging. The charger sets the initial charging power for charging according to the instruction of the controller, sets the sensor acquisition frequency, and obtains the voltage, current changes and real-time capacity of the energy storage unit in real time through the acquisition frequency sensor. The controller determines the real-time power state of the energy storage unit based on the voltage, current changes and real-time capacity of the energy storage unit, and extracts the battery voltage upper limit set by the data center. When the battery voltage reaches the set upper limit and the charging current decreases, it is determined that the energy storage unit is fully charged, and the controller generates a charging stop instruction and sends it to the charger. The charger will cut off the charging circuit and stop charging the energy storage unit.

[0018] Compared with the prior art, the beneficial effects of the present invention are: precise control of equipment operation. For industrial equipment, by real-time monitoring of its operating status and energy consumption data, the operating parameters of the equipment can be precisely adjusted so that the equipment always operates in the optimal efficiency range. In the steel smelting process, according to the real-time power load and production process requirements, the power and operating time of the electric furnace are precisely controlled to avoid unnecessary energy waste and improve energy utilization efficiency. In commercial buildings, the air conditioning and lighting systems can be intelligently adjusted according to the changes in the indoor and outdoor environment and the rules of personnel activities. When the indoor light is sufficient, the lighting brightness is automatically reduced; when the indoor temperature is close to the set temperature, the air conditioning power is fine-tuned to maintain comfort while reducing energy consumption. Relieve the pressure on the power grid During the peak period of electricity consumption, the load-side energy-saving energy management system can reduce the power load and relieve the power supply pressure of the power grid by automatically reducing the power of non-critical equipment or suspending the operation of some equipment. In the hot summer weather, when the power grid faces huge air conditioning power load pressure, the energy management system in the commercial building can automatically adjust the air conditioning temperature setting or turn off some non-essential lighting equipment to reduce the load on the power grid and avoid overload of the power grid. For residential users, the energy management system can guide users to use electricity rationally, avoid turning on a large number of high-energy-consuming electrical appliances at the same time, reduce instantaneous impacts on the power grid, and improve the stability of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present invention.

[0020] Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0021] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0022] The present invention is an energy-saving energy management system for the load side of an electric power system, comprising a data acquisition module, a data analysis module, an intelligent control module, an energy-saving optimization module, a nighttime electricity storage module and a data center.

[0023] The data acquisition module collects various parameter values ​​in real time by installing various types of sensors on various power load devices. The specific acquisition method is as follows: Current sensors, voltage sensors, power sensors, etc. are installed at power load equipment and lines. Power load equipment includes large motors in industrial production workshops, central air-conditioning units in commercial buildings, and smart meters in residents' homes.

[0024] The current parameters of each power load device are collected in real time by current sensors, and the current parameters of each power load device are obtained in real time.

[0025] The voltage parameters of each power load device are collected in real time by the voltage sensor, and the voltage parameters of each power load device are obtained in real time.

[0026] The input end of the data acquisition module is connected to the output end of each industrial park management system to obtain the daily production tasks of each industrial park. The output end of the data acquisition module is connected to the input end of the data analysis module to send the obtained parameters to the data analysis module.

[0027] The data analysis module analyzes the parameter information received from the data acquisition module. The specific acquisition process is as follows: The output end of the data analysis module is connected to the output end of the intelligent control module. Taking the power base station as the origin, the location information of each power load device within the radius of the power base station is obtained in real time through the positioning sensor, the position of each power load device is marked, and the marked position is obtained. The analysis is performed according to the parameter values ​​of each industrial park obtained by the data acquisition module. Specifically, the current parameters and voltage parameters of each power load device obtained by the data acquisition module are extracted, and the power consumption value of each load device is obtained through the current parameters and voltage parameters. The power consumption value corresponding to each power load device in a specific period of time is collected, and the preset standard power consumption value in the data center is extracted. The actual power consumption value is compared with the preset standard power consumption value. If the actual power consumption value is less than the preset standard power consumption value, it means that the corresponding power load device has normal power consumption and is marked as a normal power consumption device. On the contrary, it means that the power consumption of the corresponding power load device is too high, so it is marked as a high power consumption device, and a high power consumption signal is generated and sent to the intelligent control module.

[0028] The smart meter is used to monitor the current electricity consumption parameters of each residential user. When the state of each household appliance is turned on, the on-time of the current household appliance is monitored. The on-time of the current household appliance is obtained until the current household appliance stops being turned on. The corresponding power consumption value of the household appliance is obtained according to the on-time. All the on-times and power consumption values ​​corresponding to each household appliance on that day are collected in real time to obtain the total on-time of each household appliance on that day. The total on-time is marked as LK. The total power consumption value corresponding to each household appliance is obtained according to the total on-time, marked as YT. The average power consumption value is obtained according to the total power consumption value and the total on-time, marked as YP, and the formula is used to calculate The efficiency value is obtained, where C1, C2 and C3 are preset proportional coefficients. The preset efficiency threshold of the data center is extracted, and the actual efficiency value is compared with the preset efficiency threshold. If the actual efficiency value is less than the preset efficiency value, it means that the electricity consumption of the corresponding residential user is normal. Otherwise, it means that the electricity consumption is too high, and an abnormal signal is generated and sent to the intelligent control module.

[0029] The power consumption of commercial buildings is analyzed and divided into different areas, including office areas, public rest areas and commercial areas. The number of people in each area in each time period is monitored in real time through the intelligent monitoring system. The monitoring time periods include 8 am to 12 pm, 12 pm to 4 pm and 4 pm to 8 pm. The number of people in each area in each time period is obtained and marked as RI. Then the area image of the area within the range is intercepted by the intelligent monitoring system to obtain the area image. According to the image proportional value of the intelligent monitoring system, the area image and the image proportional value are matched to obtain the actual area of ​​the area, marked as KL. The number of people in each area and the actual area of ​​the area are calculated. Get the population density value GS corresponding to each area, extract the standard population density value of the data center, compare the population density value corresponding to each area with the standard population density value, and if the population density value corresponding to each area is less than the standard population density value, generate an energy-saving signal and send it to the intelligent control module.

[0030] The intelligent control module processes the signals sent by the data analysis module respectively, and the specific acquisition process is as follows: By receiving high power consumption signals, the historical production low periods of the data center industrial park are extracted, and the production tasks of the day obtained by the data acquisition module are matched with the historical production low periods. If the production task of the day is within the production low period, the corresponding production task date is marked as a low production day. The output end of the intelligent control module is connected to the input end of the industrial park management system to obtain the number of power load devices in the corresponding motion state on the low production day, marked as KH. The motion period of each power load device is intercepted through the monitoring end to obtain the motion period TH of each power load device, and the power consumption value of each normal power consumption device and the power consumption value of the high power consumption device in the corresponding period are obtained, marked as CW and HI respectively. The formula is used to calculate the power consumption of each normal power consumption device and the power consumption value of the high power consumption device through the obtained number of load devices, motion period, power consumption value of normal power consumption equipment and power consumption value of high power consumption equipment. The energy consumption motion value FDi of each power load device is obtained, where J1, J2 and J3 are preset proportional coefficients. The preset energy consumption motion value of the data center is extracted, and the actual energy consumption motion value is compared with the preset energy consumption motion value. If the actual energy consumption motion value is greater than the preset energy consumption motion value, it means that the power consumption is too high. By installing a frequency converter on each power load device with excessively large energy consumption motion value, the industrial park management system sends a consumption reduction instruction to the frequency converter terminal. The frequency converter terminal receives the consumption reduction instruction, reduces the motor speed of the current power load device, and reduces power consumption.

[0031] Upon receiving an abnormal signal, a smart socket is installed on the plug of each electrical appliance, the location of the corresponding residential user is obtained through the smart meter, and the corresponding high-power consumption household appliances are obtained in real time. The energy management system sends a shutdown command to the corresponding smart socket. The smart socket receives the shutdown command and shuts down the corresponding high-power consumption household appliances.

[0032] The energy-saving optimization module saves energy in different areas of the commercial building according to the received energy-saving signals. The specific acquisition process is as follows: The input end of the data analysis module is connected to the output end of the energy-saving optimization module. By receiving the energy-saving signal, the population density value of each area is monitored in real time through the monitoring end, and the acquired population density image is sent to the energy control terminal. The energy control terminal receives the population density image and turns on the air-conditioning equipment according to three population density levels according to the population density image. The three population densities include low population density, medium population density and high population density. For the low population density level, the air-conditioning temperature setting value is increased to 27-28°C in the intelligent control cooling mode, and the temperature setting value is lowered to 23-24°C in the heating mode, the fan speed is reduced, and the wind speed is adjusted to the low wind speed gear; for the medium density personnel level, the intelligent control cooling mode is maintained at 25-26°C, the heating mode is maintained at 22-23°C, and the wind speed is adjusted to the medium wind speed gear; for the high density personnel level, the intelligent control cooling mode is maintained at 20-21°C, the heating mode is maintained at 20-21°C, and the wind speed is adjusted to the high wind speed gear.

[0033] By installing light sensors in various areas, the indoor natural light illumination is monitored in real time. In areas with sufficient natural light during the day, the brightness of artificial lighting is automatically adjusted according to the natural light intensity. Specifically, the light sensor processing terminal obtains the current natural light illumination in real time, generates control instructions based on the current natural light illumination and sends them to the intelligent lighting system. The intelligent lighting system receives the control instructions and adjusts the light brightness according to five levels of natural light illumination. The five light brightnesses include low brightness, medium-low brightness, medium brightness, medium-high brightness and high brightness.

[0034] The nighttime power storage module is charged during the low load period of the nighttime power grid to store electric energy. The specific acquisition process is as follows: At night, the controller terminal of the power storage module performs self-inspection and initialization operations, obtains the corresponding detection circuit and the connection position of the power grid through the positioning sensor, extracts the charging period and charging power preset by the data center, and generates a charging start instruction based on the charging period and charging power preset by the controller and sends it to the charger. The charger receives the charging start instruction and starts charging. The charger sets the initial charging power for charging according to the instruction of the controller, sets the sensor acquisition frequency, and obtains the voltage, current changes and real-time capacity of the energy storage unit in real time through the acquisition frequency sensor. The controller determines the real-time power state of the energy storage unit based on the voltage, current changes and real-time capacity of the energy storage unit, and extracts the battery voltage upper limit set by the data center. When the battery voltage reaches the set upper limit and the charging current decreases, it is determined that the energy storage unit is fully charged, and the controller generates a charging stop instruction and sends it to the charger. The charger will cut off the charging circuit and stop charging the energy storage unit.

[0035] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. An invention of an energy-saving energy management system for the load side of a power system, comprising a data acquisition module, a data analysis module, an energy-saving optimization module, a nighttime power storage module and a data center, characterized in that: It also includes an intelligent control module; The intelligent control module processes the signal sent by the data analysis module, extracts the historical production low period of the data center industrial park by receiving the high power consumption signal, matches the production task of the day obtained by the data acquisition module with the historical production low period, and if the production task of the day is within the production low period, the corresponding production task date is marked as a low production day. The output end of the intelligent control module is connected to the input end of the industrial park management system to obtain the number of power load devices in the corresponding motion state on the low production day, marked as KH, and the motion period of each power load device is intercepted through the monitoring end to obtain the motion period TH of each power load device, and the power consumption value of each normal power consumption device and the power consumption value of the high power consumption device in the corresponding period are obtained, marked as CW and HI respectively, and the formula is used to calculate the number of load devices, motion period, power consumption value of normal power consumption equipment and power consumption value of high power consumption equipment. The energy consumption motion value FDi of each power load device is obtained, where J1, J2 and J3 are preset proportional coefficients. The preset energy consumption motion value of the data center is extracted, and the actual energy consumption motion value is compared with the preset energy consumption motion value. If the actual energy consumption motion value is greater than the preset energy consumption motion value, it means that the power consumption is too high. By installing a frequency converter on each power load device with excessively large energy consumption motion value, the industrial park management system sends a consumption reduction instruction to the frequency converter terminal. The frequency converter terminal receives the consumption reduction instruction, reduces the motor speed of the current power load device, and reduces power consumption.

2. The energy-saving energy management system for load side of power system according to claim 1, characterized in that: The data analysis module performs analysis based on the parameter information received from the data acquisition module. The specific process is as follows: The output end of the data analysis module is connected to the input end of the intelligent control module. With the power base station as the origin, the location information of each power load device within the radius of the power base station is obtained in real time through the positioning sensor, the location of each power load device is marked, and the marked location is obtained. The analysis is performed according to the parameter values ​​of each industrial park obtained by the data acquisition module. Specifically, the current parameters and voltage parameters of each power load device obtained by the data acquisition module are extracted, and the power consumption value of each load device is obtained through the current parameters and voltage parameters. The power consumption value corresponding to each power load device in a specific period of time is collected, and the preset standard power consumption value in the data center is extracted. The actual power consumption value is compared with the preset standard power consumption value. If the actual power consumption value is less than the preset standard power consumption value, it means that the power consumption of the corresponding power load device is normal, and it is marked as a normal power consumption device. On the contrary, it means that the power consumption of the corresponding power load device is too high, and it is marked as a high power consumption device, and a high power consumption signal is generated and sent to the intelligent control module; The smart meter is used to monitor the current electricity consumption parameters of each residential user. When the state of each household appliance is turned on, the on-time of the current household appliance is monitored. The on-time of the current household appliance is obtained until the current household appliance stops being turned on. The corresponding power consumption value of the household appliance is obtained according to the on-time. All the on-times and power consumption values ​​corresponding to each household appliance on that day are collected in real time to obtain the total on-time of each household appliance on that day. The total on-time is marked as LK. The total power consumption value corresponding to each household appliance is obtained according to the total on-time, marked as YT. The average power consumption value is obtained according to the total power consumption value and the total on-time, marked as YP, and the formula is used to calculate Get the performance value, where C1, C2 and C3 are preset proportional coefficients, extract the preset performance threshold of the data center, compare the actual performance value with the preset performance threshold, if the actual performance value is less than the preset performance value, it means that the electricity consumption of the corresponding residential user is normal, otherwise, it means that the electricity consumption is too high, and an abnormal signal is generated and sent to the intelligent control module; The power consumption of commercial buildings is analyzed, and the commercial buildings are divided into different areas. The number of people in each area in each time period is monitored in real time through the intelligent monitoring system, and the number of people in each area in each time period is obtained, marked as RI. Then the area image of the area within the range is intercepted by the intelligent monitoring system to obtain the area image. According to the image proportional value of the intelligent monitoring system, the area image and the image proportional value are matched to obtain the actual area of ​​the area, marked as KL. The calculation is performed based on the number of people in each area and the actual area of ​​the area. Obtain the population density value GS corresponding to each area, extract the standard population density value of the data center, compare the population density value corresponding to each area with the standard population density value, and if the population density value corresponding to each area is less than the standard population density value, generate an energy-saving signal and send it to the intelligent control module; Upon receiving an abnormal signal, a smart socket is installed on the plug of each electrical appliance, the location of the corresponding residential user is obtained through the smart meter, and the corresponding high-power consumption household appliances are obtained in real time. The energy management system sends a shutdown command to the corresponding smart socket. The smart socket receives the shutdown command and shuts down the corresponding high-power consumption household appliances.

3. The energy-saving energy management system for load side of power system according to claim 1, characterized in that: The energy-saving optimization module saves energy in different areas of the commercial building according to the received energy-saving signals. The specific process is as follows: The input end of the data analysis module is connected to the output end of the energy-saving optimization module. By receiving the energy-saving signal, the monitoring end monitors the population density value of each area in real time, and sends the acquired population density image to the energy control terminal. The energy control terminal receives the population density image and turns on the air-conditioning equipment according to three population density levels. The three population densities include low population density, medium population density and high population density. For the low population density level, the air-conditioning temperature setting value is increased to 27-28°C in the intelligent control cooling mode, and the temperature setting value is lowered to 23-24°C in the heating mode, and the fan speed is reduced to the low wind speed gear; For medium-density personnel levels, the temperature is maintained at 25-26°C in cooling mode and 22-23°C in heating mode, and the wind speed is adjusted to the medium wind speed level; for high-density personnel levels, the temperature is maintained at 20-21°C in cooling mode and 20-21°C in heating mode, and the wind speed is adjusted to the high wind speed level; By installing light sensors in various areas, the indoor natural light illumination is monitored in real time. In areas with sufficient natural light during the day, the brightness of artificial lighting is automatically adjusted according to the natural light intensity. Specifically, the light sensor processing terminal obtains the current natural light illumination in real time, generates control instructions based on the current natural light illumination and sends them to the intelligent lighting system. The intelligent lighting system receives the control instructions and adjusts the light brightness according to five levels of natural light illumination. The five light brightnesses include low brightness, medium-low brightness, medium brightness, medium-high brightness and high brightness.

4. The power system load side energy saving management system according to claim 1, characterized in that: The nighttime power storage module is charged and stores electric energy during the low load period of the nighttime power grid. The specific process is as follows: At night, the controller terminal of the power storage module performs self-inspection and initialization operations, obtains the corresponding detection circuit and the connection position of the power grid through the positioning sensor, extracts the charging period and charging power preset by the data center, and generates a charging start instruction based on the charging period and charging power preset by the controller and sends it to the charger. The charger receives the charging start instruction and starts charging. The charger sets the initial charging power for charging according to the instruction of the controller, sets the sensor acquisition frequency, and obtains the voltage, current changes and real-time capacity of the energy storage unit in real time through the acquisition frequency sensor. The controller determines the real-time power state of the energy storage unit based on the voltage, current changes and real-time capacity of the energy storage unit, and extracts the battery voltage upper limit set by the data center. When the battery voltage reaches the set upper limit and the charging current decreases, it is determined that the energy storage unit is fully charged, and the controller generates a charging stop instruction and sends it to the charger. The charger will cut off the charging circuit and stop charging the energy storage unit.

5. The invention of an energy-saving energy management system for load side of a power system according to claim 1 is characterized in that: The data acquisition module collects various parameter values ​​in real time by installing various types of sensors on various power load devices. The specific methods are as follows: Install current sensors, voltage sensors, power sensors, etc. at power load devices and lines. Power load devices include large motors in industrial production workshops, central air conditioning units in commercial buildings, and smart meters in residents' homes; The current parameters of each power load device are collected in real time by using a current sensor, and the current parameters of each power load device are obtained in real time; The voltage parameters of each power load device are collected in real time by the voltage sensor, and the voltage parameters of each power load device are obtained in real time; The input end of the data acquisition module is connected to the output end of each industrial park management system to obtain the daily production tasks of each industrial park. The output end of the data acquisition module is connected to the input end of the data analysis module to send the obtained parameters to the data analysis module.

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