Power distribution network new energy storage and demand side combined response system and method

Abstract

The invention discloses a power distribution network new energy storage and demand side joint response system and method, and belongs to the technical field of energy distribution, and the system comprises a new energy storage module which is used for providing an energy storage place and can carry out charging and discharging modes; the demand side response module is used for acquiring associated information related to the energy demand; and the cooperative control platform is internally provided with a processing end, an analysis end and a regulation and control end, the analysis end is used for carrying out preprocessing operation on the obtained information, the analysis end is used for analyzing the processed information and judging whether energy regulation and control need to be carried out on a demand side, and the regulation and control end carries out corresponding energy regulation and control based on a result of the analysis end. According to the invention, comprehensive analysis can be carried out according to the frequency and voltage change of the power grid and the output power of the new energy output system to more accurately judge the energy supply and demand state condition of the whole power grid, so that a key basis is provided for an energy scheduling decision and reasonable energy distribution is ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy distribution, and in particular relates to a system and method for combining new energy storage and demand-side response in a distribution network. Background Art

[0002] With the continuous growth of global energy demand and the increasing attention to environmental protection and sustainable development, the proportion of new energy in the power system is increasing. New energy such as wind energy and solar energy have the advantages of being clean and renewable, and are therefore widely used.

[0003] Existing coordination between renewable energy storage and demand-side electricity consumption often relies on fixed allocations of renewable energy based on historical practices. For example, renewable energy power is fed into the grid during fixed periods and stored during other periods. Due to the uncertainty inherent in renewable energy generation, such as photovoltaic power generation systems, which are significantly affected by natural conditions and exhibit significant intermittent and fluctuating performance, and the uncertainty of demand-side electricity consumption, energy distribution can easily become uneven, with power supply exceeding power consumption or power supply less than power consumption, leading to either excess or insufficient energy on the grid. Summary of the Invention

[0004] The purpose of the present invention is to provide a distribution network new energy storage and demand-side joint response system and method to solve the problems faced in the above-mentioned background technology.

[0005] The purpose of the present invention can be achieved through the following technical solutions: A distribution network new energy storage and demand-side joint response system, the system comprising: New energy storage module, which is used to provide energy storage space and can be used in charging and discharging modes; A demand-side response module, configured to obtain relevant information related to energy demand; A collaborative control platform includes a processing end, an analysis end, and a control end. The analysis end is used to perform corresponding preprocessing operations on the acquired information. The analysis end is used to analyze the processed information to determine whether energy regulation is required on the demand side. The control end performs corresponding energy regulation on the demand side that requires energy regulation based on the results of the analysis end.

[0006] Furthermore, the associated information includes grid operation status information, user electricity consumption information, new energy output information, environmental information and equipment status information. The grid operation status information includes grid frequency and grid voltage parameters. The new energy output information includes output power and output electricity. The user electricity consumption information includes user electricity consumption. The environmental information includes temperature, light intensity and wind speed. The equipment status information includes the equipment's own electricity consumption, its own loss coefficient, investment years and line loss coefficient.

[0007] Furthermore, the analysis end working method is: Get the average grid frequency over a period of time and the average voltage , through the formula Calculate the grid operation status value K; At the same time, obtain the output power generated by the new energy output system during this period , so through the formula Obtain the new energy output status value ; Thus, through the formula Calculate the energy status value ; when When , it is judged that energy regulation needs to be carried out on the demand side; in, is the optimal grid frequency determined based on historical data, is the optimal grid voltage determined based on historical data, is the standard output power determined based on historical data, as well as are the two judgment thresholds set, as well as is the weight coefficient.

[0008] Furthermore, the control end works as follows: The control terminal generates two instructions, charging instruction and discharging instruction. When , a discharge instruction is generated. When , a charging instruction is generated.

[0009] Furthermore, when a charging instruction is generated, the new energy storage module is charged and stored, specifically: Calculate the user's electricity consumption , the power supply of the power grid And the output power generated by the new energy output system ,when When the new energy output system generates All the energy will be charged into the new energy storage module. When The electricity is charged into the new energy storage module. ; When a discharge instruction is generated, the energy in the new energy storage module is discharged to the grid. Specifically: Transfer the energy in the new energy storage module to the power grid electricity; ,in, is the loss status value.

[0010] Furthermore, the user's electricity consumption And power output The acquisition method is: Get the user's actual electricity consumption in the current time period , and predict the user's electricity consumption in the next time period , and then add them up to get the user's electricity consumption ; The user's electricity consumption in the next time period The acquisition method is: select the average of the user's electricity consumption in the same time period every day in the past month and record it as the first electricity consumption , select the average of the user's electricity consumption in the same month and time period in the past five years as the second electricity consumption , so through the formula Get the user's electricity consumption in the next time period ; Get the power output of the new energy output system in the current time period , and predict the power output of the new energy output system in the next time period , and then add them together to get the output power ; The power output generated by the new energy output system in the next time period The acquisition method is: based on a large amount of historical information, to build an output power prediction model, the output power prediction model has different weather conditions under different light intensity, temperature and wind speed corresponding to the output power generated, obtain the next time period of light intensity, temperature and wind speed from the meteorological bureau, input into the output power prediction model, to obtain the next time period of new energy output system output power .

[0011] Furthermore, the loss status value The acquisition method is: Get the number of devices that need to work when the new energy storage module is adjusted to power , the amount of power required by each device , and the investment years of each equipment , through the formula Calculate the loss condition value ; in, is the input-year loss function, is the loss coefficient of the i-th equipment in the investment period, is the loss coefficient of the i-th device itself, is the line loss coefficient of the i-th device, is the power conversion coefficient.

[0012] A method for jointly responding to new energy storage and demand-side responses in a distribution network, the method comprising: Step 1: Obtain relevant information related to energy demand on the demand side and pre-process the relevant information; Step 2: Analyze the processed information to determine whether the energy demand on the demand side is insufficient or excessive, and then generate corresponding control instructions to perform energy control; Step 3: When it is determined that energy regulation is required on the demand side, energy regulation between the new energy storage module and the power grid and the new energy output system is implemented according to the corresponding regulation instructions.

[0013] Beneficial effects of the present invention: The present invention can conduct a comprehensive analysis based on the frequency and voltage changes of the power grid and the output power of the new energy output system to more accurately judge the energy supply and demand status of the entire power grid, thereby providing a key basis for scheduling decisions and ensuring the rationality of energy distribution.

[0014] When distributing energy, the present invention can accurately conduct a comprehensive analysis based on user power consumption, power supply of the power grid, and power output of new energy to realize the charging and discharging of the new energy storage module, thereby dynamically regulating the power consumption to ensure normal power consumption on the demand side while saving power consumption and ensuring the rational use of power resources.

[0015] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] 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. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 It is a module block diagram of the present invention; Figure 2 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making any creative efforts shall fall within the scope of protection of the present invention.

[0019] In one embodiment, a distribution network new energy storage and demand side joint response system is disclosed, such as Figure 1 As shown, the system includes: New energy storage module: The new energy storage module is used to provide energy storage space and can be used in charging and discharging modes; The demand-side response module is used to obtain relevant information related to energy demand, including grid operation status information, user power consumption information, renewable energy output information, environmental information, and equipment status information. Grid operation status information includes grid frequency and grid voltage parameters. Renewable energy output information includes output power and output power. User power consumption information includes user power consumption. Environmental information includes temperature, light intensity, and wind speed. Equipment status information includes equipment power consumption, inherent loss coefficient, investment life, and line loss coefficient. Collaborative control platform, the collaborative control platform includes a processing end, an analysis end and a control end. The analysis end is used to perform corresponding preprocessing operations on the acquired information, and the analysis end is used to analyze the processed information to determine whether energy regulation is needed on the demand side. The control end performs corresponding energy regulation on the demand side that requires energy regulation based on the results of the analysis end.

[0020] Through the above technical solution, the present application obtains related information related to energy demand through the demand-side response module. The related information includes grid operation status information, user electricity consumption information, new energy output information, environmental information and equipment status information. The grid operation status information includes parameters such as grid frequency and grid voltage. The new energy output information includes parameter information such as output power and output electricity. The user electricity consumption information includes parameter information such as user electricity consumption. The environmental information includes parameter information such as temperature, light intensity and wind speed. The equipment status information includes parameter information such as the equipment's own electricity consumption, its own loss coefficient, investment years and line loss coefficient. Then these parameters are The information is uniformly sent to the coordination control platform, and the parameters are processed by the processing end, including but not limited to denoising, deduplication and normalization of the parameter information, so as to improve the data quality and facilitate subsequent analysis. The analysis end then analyzes the processed parameter information to determine whether the energy generated by the power grid and the new energy output system is excessive or insufficient, and thus conducts energy regulation with the new energy storage module. When the regulation end determines that energy regulation is needed, it realizes energy scheduling between the power grid, the new energy output system and the new energy storage module according to the energy situation, thereby ensuring normal electricity consumption on the demand side while saving electricity consumption and ensuring rational use of resources.

[0021] The working method of the analysis end is to obtain the average grid frequency of the grid over a period of time and the average voltage , through the formula Calculate the grid operation status value K; At the same time, obtain the output power generated by the new energy output system during this period , so through the formula Obtain the new energy output status value ; Thus, through the formula Calculate the energy status value ; when When , it is judged that energy regulation needs to be carried out on the demand side; in, is the optimal grid frequency determined based on historical data, is the optimal grid voltage determined based on historical data, is the standard output power determined based on historical data, as well as are the two judgment thresholds set, as well as is the weight coefficient.

[0022] The above solution provides a specific method for the analysis end to determine whether the energy generated by the power grid and the renewable energy output system is excessive or insufficient. Generally speaking, when the power grid has excess energy, that is, when power generation exceeds power consumption, the frequency of the power grid will increase and the voltage will increase. In contrast, when the power grid has insufficient energy, that is, when power generation is less than power consumption, the frequency of the power grid will decrease and the voltage will also decrease. Therefore: Get the average power grid frequency over a period of time And the average voltage U, through the formula Calculate the grid operation status value K, is the optimal grid frequency determined based on historical data, The optimal grid voltage is determined based on historical data. It can be seen that when the grid operation status value K is larger, the frequency and voltage of the grid are larger, and the possibility of energy surplus is greater. Similarly, the output power generated by the new energy output system during this period is obtained. , so through the formula Obtain the new energy output status value , is the standard output power determined based on historical data. It can be seen that if the output power generated by the new energy output system is greater, the energy generated will also increase, so the possibility of energy surplus will be greater. Therefore, a comprehensive analysis is conducted by combining the two, and the formula is used to calculate Calculate the energy status value , as well as is the weight coefficient, which is formulated according to the specific situation. When the grid is used as the main power generation, The value of is large, for example , , when the new energy output system is used as the main power generation, The value of is large, such as , , the specific situation is determined, and it can be known that the energy status value The larger the value, the greater the possibility of energy surplus. On the other hand, the smaller the value, the greater the possibility of energy shortage. Therefore, based on experience and historical data, two judgment thresholds are proposed. as well as , thus forming a threshold interval The threshold interval is determined based on the historical electricity demand during this period. When the power grid is running low, it is determined that energy regulation needs to be implemented on the demand side. This method can be used to conduct a comprehensive analysis based on the frequency and voltage changes of the power grid and the output power of the renewable energy output system to more accurately judge the energy supply and demand status of the entire power grid, thus providing a key basis for scheduling decisions.

[0023] The working method of the control end is: the control end generates two instructions, a charge instruction and a discharge instruction. When , a discharge instruction is generated. When the charging instruction is generated, the energy storage module is charged and stored. Specifically, the user's power consumption is calculated. , the power supply of the power grid And the output power generated by the new energy output system ,when When the new energy output system generates All the energy will be charged into the new energy storage module. When The electricity is charged into the new energy storage module. ; When a discharge instruction is generated, the energy in the new energy storage module is discharged to the grid. Specifically, the energy in the new energy storage module is transferred to the grid. electricity; ,in, is the loss status value; User's electricity consumption And power output The acquisition method is: Get the actual power consumption of the user in the current time period , and predict the user's electricity consumption in the next time period , and then add them up to get the user's electricity consumption ; The user's electricity consumption in the next time period The acquisition method is: select the average of the user's electricity consumption in the same time period every day in the past month and record it as the first electricity consumption , select the average of the user's electricity consumption in the same month and time period in the past five years as the second electricity consumption , so through the formula Get the user's electricity consumption in the next time period ; Get the power output generated by the new energy output system in the current time period , and predict the power output of the new energy output system in the next time period , and then add them together to get the output power ; The power output generated by the new energy output system in the next time period The acquisition method is: based on a large amount of historical information, to build an output power prediction model, the output power prediction model has different weather conditions under different light intensity, temperature and wind speed corresponding to the output power generated, obtain the next time period of light intensity, temperature and wind speed from the meteorological bureau, input into the output power prediction model, to obtain the next time period of new energy output system output power ; Loss status value The acquisition method is: Get the number of devices that need to work when the new energy storage module is adjusted to power , the amount of power required by each device , and the investment years of each equipment , through the formula Calculate the loss condition value ; in, is the input-year loss function, is the loss coefficient of the i-th equipment in the investment period, is the loss coefficient of the i-th device itself, is the line loss coefficient of the i-th device, is the power conversion coefficient.

[0024] The above solution provides a specific method for energy regulation. First, the regulation end generates two instructions, a charging instruction and a discharging instruction. When , it means that the energy demand of the power grid is insufficient. In order to ensure normal power consumption, the new energy storage module needs to supply power to the power grid, and a discharge instruction is generated to drive the new energy storage module to discharge. When the power grid is in excess of energy demand, in order to avoid energy waste, it is necessary to store the excess energy. Then a charging instruction is generated to drive the new energy storage module to store the excess electricity. The specific method is: first calculate the user's electricity consumption , the power supply of the power grid And the output power generated by the new energy output system , the power supply of the power grid Determined based on the amount of electricity purchased in the local area; obtain the actual amount of electricity used by the user in the current time period , and predict the user's electricity consumption in the next time period , the user's electricity consumption in the next time period The calculation method is: select the average of the user's electricity consumption in the same time period every day in the past month as the first electricity consumption , select the average of the user's electricity consumption in the same month and time period in the past five years as the second electricity consumption , so through the formula Get the user's electricity consumption in the next time period , and finally as well as Add up to get the user's electricity consumption ; Get the power output generated by the new energy output system in the current time period , and predict the power output of the new energy output system in the next time period , the output power generated by the new energy output system in the next time period The acquisition method is: based on a large amount of historical information, to build an output power prediction model, the output power prediction model has different weather conditions under different light intensity, temperature and wind speed corresponding to the output power generated, obtain the next time period of light intensity, temperature and wind speed from the meteorological bureau, input into the output power prediction model, to obtain the next time period of new energy output system output power , and finally as well as Add up to get the output power In this way, the power consumption of users in the current time period and the next time period and the power output of the new energy processing system can be analyzed, the energy situation can be grasped in advance, and early warning can be carried out in advance to reduce the situation of energy shortage or surplus. , the power supply of the power grid And the output power generated by the new energy output system After that, when the charging instruction is generated, the new energy storage module is charged and stored. In order to ensure the power consumption of users, 10% of the power is reserved for backup. At this time, it means that the power supply of the grid is fully sufficient for the user's needs. The power output generated by the new energy output system is All of the energy will be charged into the new energy storage module for storage; When , it means that the power supply of the power grid is insufficient and the power of the new energy output system is needed to supplement it. The electricity is charged into the new energy storage module. When a discharge instruction is generated, the energy in the new energy storage module is discharged to the grid. Specifically, the energy in the new energy storage module is transferred to the grid. electricity to supplement the electricity to ensure normal electricity consumption on the demand side; ,in, The loss condition value is obtained. When the new energy storage module is working, factors such as self-equipped equipment will also produce power output. Therefore, when calling the time, the loss condition needs to be considered. Therefore, the number of devices that need to work when the new energy storage module is called in is obtained. , the amount of power required by each device , and the investment years of each equipment , through the formula Calculate the loss condition value ,in, is the input years loss function and the electricity conversion coefficient It can be determined based on a large amount of historical data. For example, based on the investment years of a large number of equipment and the corresponding loss conditions under their own years, an investment-year loss function can be formulated. is the loss coefficient of the i-th equipment in the investment period, is the loss coefficient of the i-th device itself, is the line loss coefficient of the i-th device, which is determined by the type of equipment and line. It can be seen that the more the number of equipment working units and power consumption, the greater the loss. Similarly, the greater the equipment loss, line loss and investment loss, the greater the energy loss. Therefore, when the formula The larger the value, the greater the energy loss. These losses must be taken into account when adjusting power to ensure that normal power consumption on the demand side is not affected. This method allows for accurate comprehensive analysis of user power consumption, grid power supply, and renewable energy output to enable charging and discharging of renewable energy storage modules, thereby ensuring normal power consumption on the demand side while conserving electricity and ensuring the rational use of electrical energy resources.

[0025] In one embodiment, a method for joint response of new energy storage and demand side of distribution network is also disclosed, such as Figure 2 As shown, the method mainly includes the following steps: Step 1: Obtain relevant information related to energy demand on the demand side and pre-process the relevant information; Step 2: Analyze the processed information to determine whether the energy demand on the demand side is insufficient or excessive, and then generate corresponding control instructions to perform energy control; Step 3: When it is determined that energy regulation is required on the demand side, energy regulation between the new energy storage module and the power grid and the new energy output system is implemented according to the corresponding regulation instructions.

[0026] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

Claims

1. The new energy storage and demand-side joint response system for distribution networks is characterized by: The system comprises: New energy storage module, which is used to provide energy storage space and can be used in charging and discharging modes; A demand-side response module, configured to obtain relevant information related to energy demand; A collaborative control platform includes a processing end, an analysis end, and a control end. The analysis end is used to perform corresponding preprocessing operations on the acquired information. The analysis end is used to analyze the processed information to determine whether energy regulation is required on the demand side. The control end performs corresponding energy regulation on the demand side that requires energy regulation based on the results of the analysis end.

2. The distribution network new energy storage and demand-side joint response system according to claim 1 is characterized in that: The associated information includes grid operation status information, user electricity consumption information, new energy output information, environmental information and equipment status information. The grid operation status information includes grid frequency and grid voltage parameters. The new energy output information includes output power and output electricity. The user electricity consumption information includes user electricity consumption. The environmental information includes temperature, light intensity and wind speed. The equipment status information includes the equipment's own electricity consumption, its own loss coefficient, investment years and line loss coefficient.

3. The distribution network new energy storage and demand side joint response system according to claim 2 is characterized in that: The working method of the analysis end is: Get the average grid frequency over a period of time and the average voltage , through the formula Calculate the grid operation status value ; At the same time, obtain the output power generated by the new energy output system during this period , so through the formula Obtain the new energy output status value ; Thus, through the formula Calculate the energy status value ; when When , it is judged that energy regulation needs to be carried out on the demand side; in, is the optimal grid frequency determined based on historical data, is the optimal grid voltage determined based on historical data, is the standard output power determined based on historical data, as well as are the two judgment thresholds set, as well as is the weight coefficient.

4. The distribution network new energy storage and demand-side joint response system according to claim 3 is characterized in that: The working method of the control end is: The control terminal generates two instructions, charging instruction and discharging instruction. When , a discharge instruction is generated. When , a charging instruction is generated.

5. The distribution network new energy storage and demand-side joint response system according to claim 4 is characterized in that: When a charging instruction is generated, the new energy storage module is charged and stored, specifically: Calculate the user's electricity consumption , the power supply of the power grid And the output power generated by the new energy output system ,when When the new energy output system generates All the energy will be charged into the new energy storage module. When The electricity is charged into the new energy storage module. ; When a discharge instruction is generated, the energy in the new energy storage module is discharged to the grid. Specifically: Transfer the energy in the new energy storage module to the power grid electricity; ,in, is the loss status value.

6. The distribution network new energy storage and demand-side joint response system according to claim 5, characterized in that: The user's electricity consumption And power output The acquisition method is: Get the user's actual electricity consumption in the current time period , and predict the user's electricity consumption in the next time period , and then add them up to get the user's electricity consumption ; The user's electricity consumption in the next time period The acquisition method is: select the average of the user's electricity consumption in the same time period every day in the past month and record it as the first electricity consumption , select the average of the user's electricity consumption in the same month and time period in the past five years as the second electricity consumption , so through the formula Get the user's electricity consumption in the next time period ; Get the power output of the new energy output system in the current time period , and predict the power output of the new energy output system in the next time period , and then add them together to get the output power ; The power output generated by the new energy output system in the next time period The acquisition method is: based on a large amount of historical information, to build an output power prediction model, the output power prediction model has different weather conditions under different light intensity, temperature and wind speed corresponding to the output power generated, obtain the next time period of light intensity, temperature and wind speed from the meteorological bureau, input into the output power prediction model, to obtain the next time period of new energy output system output power .

7. The distribution network new energy storage and demand-side joint response system according to claim 6, characterized in that: The loss condition value The acquisition method is: Get the number of devices that need to work when the new energy storage module is adjusted to power , the amount of power required by each device , and the investment years of each equipment , through the formula Calculate the loss condition value ; in, is the input-year loss function, is the loss coefficient of the i-th equipment in the investment period, is the loss coefficient of the i-th device itself, is the line loss coefficient of the i-th device, is the power conversion coefficient.

8. A method for jointly responding to energy storage and demand on a distribution network, wherein the method is controlled and implemented by the system for jointly responding to energy storage and demand on a distribution network according to any one of claims 1 to 7, and wherein: The method comprises: Step 1: Obtain relevant information related to energy demand on the demand side and pre-process the relevant information; Step 2: Analyze the processed information to determine whether the energy demand on the demand side is insufficient or excessive, and then generate corresponding control instructions to perform energy control; Step 3: When it is determined that energy regulation is required on the demand side, energy regulation between the new energy storage module and the power grid and the new energy output system is implemented according to the corresponding regulation instructions.

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