Neural algorithm-based system and method for enabling producer to participate in auxiliary peak regulation

Abstract

The invention discloses a neural algorithm-based system and a neural algorithm-based method for enabling a producer to participate in auxiliary peak regulation, and relates to the technical field of electric power. The system comprises a first parturition and disappearing person receiving and transmitting module and a second parturition and disappearing person receiving and transmitting module in parturition and disappearing person power equipment continuously and automatically transmit wireless verification ID to a first authentication module; a first power grid signal receiving and transmitting module and a second power grid signal receiving and transmitting module in the power grid equipment terminal continuously and automatically transmit wireless verification IDs into a second authentication module; and an authentication comparison module in the bidirectional authentication module compares and authenticates the wireless verification IDs accessed in the authentication module I and the authentication module II. By establishing a sharing platform of the high-yield diasters, effective collection and allocation of surplus electric power are realized, so that peak regulation of electricity utilization is assisted, the energy utilization efficiency is improved, the electric power supply and demand balance is optimized, and the safety of the system is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power, and specifically to a system and method for prosumers to participate in auxiliary peak shaving based on neural algorithms. Background Art

[0002] With the rapid development of distributed energy technologies, more and more households and enterprises have become prosumers, who are both energy consumers and producers. Prosumers usually install renewable energy devices such as solar photovoltaic panels and wind turbines, which can not only meet part or all of their own energy needs, but also feed the excess electricity back to the power grid. However, due to the large randomness and volatility of the energy production and consumption of prosumers, this poses new challenges to the stable operation of the power grid, especially during peak electricity consumption periods.

[0003] During peak electricity consumption periods, the load pressure on the power grid increases, which may lead to tight power supply and even power outages. During off-peak periods, the power grid may have excess generating capacity, and this energy fails to be effectively utilized. As a result, the excess electricity produced by prosumers often cannot be fully utilized and is wasted to a certain extent. Moreover, there is a lack of effective mechanisms to coordinate the power sharing among prosumers, resulting in low resource utilization efficiency. Summary of the Invention

[0004] The purpose of the present invention is to provide a system and method for prosumers to participate in auxiliary peak shaving based on neural algorithms, which can efficiently utilize excess electricity through an intelligent sharing platform, optimize the power supply-demand balance, reduce energy waste, promote energy conservation, emission reduction and sustainable development, and solve the problems raised in the background art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A method for prosumers to participate in auxiliary peak shaving based on neural algorithms, including the following steps:

[0006] A prosumer transceiver module one and a prosumer transceiver module two in the prosumer power equipment continuously and automatically transmit a wireless verification ID into an authentication module one;

[0007] A power grid signal transceiver module one and a power grid signal transceiver module two in the power grid equipment terminal continuously and automatically transmit a wireless verification ID into an authentication module two;

[0008] In a two-way authentication module, an authentication comparison module compares and authenticates the wireless verification IDs accessed in the authentication module one and the authentication module two;

[0009] After successful authentication, a data acquisition module two sends the acquired verification information to a cloud database for transcoding processing;

[0010] The cloud database inputs the verified data collected after transcoding and the original data into the prediction module, performs real-time prediction and analysis of the electricity consumption, and uses the two-way request module for peak shaving;

[0011] The data analyzed by the prediction module is transferred into the decision-making module to formulate an electricity consumption strategy and is sent to the execution and feedback module for execution;

[0012] The execution and feedback module inputs the execution data into the power grid equipment terminal, controls the power input amount of the prosumer's power equipment by the power grid equipment terminal, and regulates the electricity consumption of the prosumer's power equipment;

[0013] The peak shaving steps of the two-way request module further include:

[0014] The excess energy power generated in the two-way request module is input into the resource sharing platform, and the energy is audited by the power storage module and the dynamic electricity price module, and the storage and allocation are carried out by the power generation configuration module;

[0015] The prosumer transceiver module one and the prosumer transceiver module two continuously and automatically transmit wireless verification request IDs, which are respectively input into the request module two and the request module one;

[0016] The operation terminal one confirms the request ID input in the request module one, and the operation terminal two confirms and authenticates the request ID input in the request module two;

[0017] After successful authentication, the request data is input into the data acquisition module one, and after transcoding processing, it is sent to the cloud database;

[0018] The cloud database inputs the collected data into the decision-making module to formulate a peak shaving strategy and performs peak shaving data execution through the execution and feedback module;

[0019] The execution and feedback module inputs the peak shaving data into the power generation configuration module, and uses the power storage module to quantitatively retrieve the power in the power storage module and send it into the prosumer's power equipment for use.

[0020] As a preferred method for a prosumer to participate in auxiliary peak shaving based on a neural algorithm of the present invention, the operation terminal one and the operation terminal two are computers and smart phones that can be remotely operated by users.

[0021] The present invention also provides the following technical solution: A system for a prosumer to participate in auxiliary peak shaving based on a neural algorithm, including the method for a prosumer to participate in auxiliary peak shaving based on a neural algorithm described in any one of the above, including:

[0022] The prosumer power equipment is an electricity-consuming equipment;

[0023] Grid equipment terminal, and the grid equipment terminal is a power generation equipment such as a solar photovoltaic panel and a wind turbine; among them, there are multiple prosumer power equipment and grid equipment terminals;

[0024] Bidirectional request module; the bidirectional request module is used to verify multiple prosumer power equipment to determine whether a connection can be established;

[0025] Bidirectional authentication module; the bidirectional authentication module is used to verify the prosumer power equipment and the grid equipment terminal to determine whether a connection can be established;

[0026] Cloud database; the cloud database is used to store the original electricity consumption data. After successful authentication, Data Acquisition Module 1 and Data Acquisition Module 2 respectively collect the verification data information of the bidirectional request module and the bidirectional authentication module;

[0027] Operation terminal 1; the operation terminal 1 is used for users to establish contact with each other;

[0028] The resource sharing platform is used to store the excess energy generated by the grid equipment terminal, and allows prosumers to share the excess energy, such as excess electricity, stored energy, etc., to improve energy utilization efficiency.

[0029] Preferably, as a system for prosumers to participate in auxiliary peak shaving based on neural algorithm of the present invention, the prosumer power equipment includes a prosumer transceiver module 1 and a prosumer transceiver module 2, and the prosumer transceiver module 1 and the prosumer transceiver module 2 are respectively used to send and receive signals of different prosumers.

[0030] Preferably, as a system for prosumers to participate in auxiliary peak shaving based on neural algorithm of the present invention, the grid equipment terminal includes a grid signal transceiver module 1 and a grid signal transceiver module 2, wherein the grid signal transceiver module 1 and the grid signal transceiver module 2 are used to send and receive information data of multiple grid equipment terminals.

[0031] Preferably, as a system for prosumers to participate in auxiliary peak shaving based on neural algorithm of the present invention, the bidirectional request module includes a request module 2 and a request module 1. A connection is established between the request module 1 and the operation terminal 1, and a connection is established between the request module 2 and the operation terminal 2, which is used for prosumers to respond to the authentication request and confirm the peak shaving information.

[0032] Preferably, as a system for prosumers to participate in auxiliary peak shaving based on neural algorithm of the present invention, the bidirectional authentication module includes an authentication module 1, an authentication module 2 and an authentication comparison module, which is used for matching between the prosumer power equipment and the grid equipment terminal to establish electricity connection information.

[0033] Preferably, as a system for prosumers to participate in auxiliary peak shaving based on neural algorithms in the present invention, the cloud database further includes a decision-making module, a prediction module, and an execution and feedback module. The prediction module is used to analyze and compare the data in the cloud database using neural network algorithms to predict future power supply and demand situations. The decision-making module is used to specify the optimal energy usage strategy based on the prediction results and the current status of the grid device terminals. The execution and feedback module is used to automatically control the working status of the grid device terminals for the decision instructions generated by the prediction module, and to detect the actual effects and compare them with the predicted values, and feedback the results to the prediction module to provide a basis for the next round of prediction.

[0034] Preferably, as a system for prosumers to participate in auxiliary peak shaving based on neural algorithms in the present invention, the resource sharing platform includes a power storage module, a dynamic electricity price module, a power generation configuration module, and a traffic monitoring module. The power storage module, the dynamic electricity price module, and the power generation configuration module cooperate to calculate and audit the shared resources, while the traffic monitoring module is used to monitor the peak shaving power consumption.

[0035] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0036] 1. The present invention can not only significantly improve energy utilization efficiency, optimize power supply and demand balance, but also achieve intelligent management, enhance the security of the system, improve the user experience, and promote sustainable development and the overall progress of society. By establishing a shared platform for multiple prosumers, this solution can effectively collect and allocate excess power, reduce energy waste, optimize resource allocation, thereby alleviating the grid load pressure during peak electricity consumption periods and reducing the excess power generation capacity of the grid during low periods to achieve supply and demand balance; use neural algorithms for power supply and demand prediction and formulate the optimal energy allocation strategy, reduce human intervention, and achieve intelligent control of prosumer devices through an automated control system to improve management efficiency; ensure that only legitimate prosumers can access the system through a two-way authentication mechanism; users can clearly see the status of their devices and the connection with the grid, increasing the transparency of the system. At the same time, users can actively manage their device connections, enhancing their autonomy; by reasonably allocating energy, reduce unnecessary energy consumption, and promote energy conservation, emission reduction, and environmental protection. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 One of the overall structural flow diagrams of the present invention;

[0038] Figure 2 Another overall structural flow diagram of the present invention;

[0039] Figure 3 The overall system principle block diagram of the present invention.

[0040] In the figure: 100, prosumer power equipment; 101, prosumer transceiver module one; 102, prosumer transceiver module two; 200, power grid equipment terminal; 201, power grid signal transceiver module one; 202, power grid signal transceiver module two; 300, two-way request module; 301, request module two; 302, request module one; 400, two-way authentication module; 401, authentication module one; 402, authentication module two; 403, authentication comparison module; 500, cloud database; 510, decision-making module; 520, prediction module; 530, execution and feedback module; 600, data acquisition module one; 610, data acquisition module two; 700, operation terminal one; 710, operation terminal two; 800, resource sharing platform; 801, power storage module; 802, dynamic electricity price module; 803, power generation configuration module; 804, traffic monitoring module. Detailed implementation mode

[0041] Embodiment 1

[0042] Please refer to Figure 1 - Figure 2 , a method for prosumers to participate in auxiliary peak shaving based on neural algorithms, comprising the following steps:

[0043] S1. The prosumer transceiver module one 101 and the prosumer transceiver module two 102 in the prosumer power equipment 100 continuously and automatically transmit wireless verification IDs into the authentication module one 401;

[0044] S2. The power grid signal transceiver module one 201 and the power grid signal transceiver module two 202 in the power grid equipment terminal 200 continuously and automatically transmit wireless verification IDs into the authentication module two 402;

[0045] S3. The authentication comparison module 403 in the two-way authentication module 400 compares and authenticates the wireless verification IDs accessed in the authentication module one 401 and the authentication module two 402;

[0046] S4. After successful authentication, the data acquisition module two 610 sends the collected verification information to the cloud database 500 for transcoding processing;

[0047] S5. The cloud database 500 inputs the transcoded and collected verification data and the original data into the prediction module 520, performs real-time prediction and analysis on the electricity consumption, and uses the two-way request module 300 for peak shaving;

[0048] S6. The analysis data of the prediction module 520 is transferred to the decision-making module 510 to formulate an electricity consumption strategy and is sent to the execution and feedback module 530 for execution;

[0049] S7. The execution and feedback module 530 inputs the execution data into the power grid device terminal 200 to control the power input amount of the prosumer power device 100 by the power grid device terminal 200 and regulate the power consumption of the prosumer power device 100.

[0050] Specifically, the peak shaving steps of the two-way request module 300 further include:

[0051] S1. The two-way request module 300 generates excess energy power and inputs it into the resource sharing platform 800. The power storage module 801 and the dynamic electricity price module 802 are used to audit the energy and the power generation configuration module 803 is used for storage allocation.

[0052] S2. The prosumer transceiver module one 101 and the prosumer transceiver module two 102 continuously and automatically transmit wireless verification requests ID and respectively input them into the request module two 301 and the request module one 302.

[0053] S3. The operation terminal one 700 confirms the request ID input into the request module one 302, and the operation terminal two 710 confirms and authenticates the request ID input into the request module two 301.

[0054] S4. After successful authentication, the request data is input into the data acquisition module one 600 and sent to the cloud database 500 after transcoding processing.

[0055] S5. The cloud database 500 inputs the collected data into the decision-making module 510 to formulate a peak shaving strategy and the execution and feedback module 530 executes the peak shaving data.

[0056] S6. The execution and feedback module 530 inputs the peak shaving data into the power generation configuration module 803, and the power storage module 801 quantitatively retrieves the power in the power storage module 801 and sends it into the prosumer power device 100 for use.

[0057] For the method for prosumers to participate in auxiliary peak shaving based on neural algorithms provided by the present invention, the prosumer transceiver module one 101 and the prosumer transceiver module two 102 in the prosumer power device 100 continuously transmit wireless verification IDs to the authentication module one 401. Similarly, the power grid signal transceiver module one 201 and the power grid signal transceiver module two 202 in the power grid device terminal 200 also continuously transmit wireless verification IDs to the authentication module two 402, and the authentication comparison module 403 in the two-way authentication module 400 is responsible for comparing and verifying these wireless verification IDs.

[0058] Once the identity verification is successful, the data acquisition module two 610 will send the verification information to the cloud database 500, where transcoding processing is performed. Subsequently, the cloud database 500 will input the transcoded data and the original data into the prediction module 520 for real-time prediction and analysis of power consumption.

[0059] The data analyzed by the prediction module 520 will be transferred to the decision-making module 510 to formulate an electricity consumption strategy, and then transmitted to the execution and feedback module 530 for execution. The execution and feedback module 530 sends the executed data back to the power grid device terminal 200 to control the power input of the prosumer power device 100, thereby regulating the electricity consumption of the prosumer power device 100.

[0060] When the bidirectional request module 300 detects excess energy, this energy will be input into the resource sharing platform 800. On this platform, the power storage module 801 and the dynamic electricity price module 802 will audit this energy, and the power generation configuration module 803 is responsible for storage and allocation. In addition, the prosumer transceiver module one 101 and the prosumer transceiver module two 102 will transmit wireless authentication request IDs to the request module two 301 and the request module one 302.

[0061] The operation terminal one 700 and the operation terminal two 710 respectively confirm the request IDs in the request module one 302 and the request module two 301. If the authentication is successful, the request data will be sent to the data acquisition module one 600, and after transcoding processing, it will be sent to the cloud database 500. The cloud database 500 then inputs the data into the decision-making module 510 to formulate a peak shaving strategy, and the execution and feedback module 530 executes the peak shaving data. Finally, the execution and feedback module 530 inputs the peak shaving data into the power storage module 801, quantitatively extracts power from the power storage module 801, and sends it to the prosumer power device 100 for its use.

[0062] The operation terminal one 700 and the operation terminal two 710 can be the user's remote operation devices, such as computers and smartphones, allowing users to establish connections and confirm the request IDs.

[0063] Embodiment 2

[0064] Please refer to Figure 3 , a system for prosumers to participate in auxiliary peak shaving based on a neural algorithm. The above method can be implemented relying on this system. Specifically, the system includes a prosumer power device 100, a power grid device terminal 200, a bidirectional request module 300, a bidirectional authentication module 400, a cloud database 500, a data acquisition module one 600, a data acquisition module two 610, an operation terminal one 700, and a resource sharing platform 800;

[0065] Specifically, the prosumer power device 100 is an electricity-consuming device; the prosumer power device 100 includes a prosumer transceiver module one 101 and a prosumer transceiver module two 102. The prosumer transceiver module one 101 and the prosumer transceiver module two 102 are respectively used to send and receive signals of different prosumers;

[0066] The power grid device terminal 200 is a power generation device such as a solar photovoltaic panel and a wind turbine; among them, there are multiple prosumer power devices 100 and power grid device terminals 200; the power grid device terminal 200 includes a first power grid signal transceiver module 201 and a second power grid signal transceiver module 202, wherein the first power grid signal transceiver module 201 and the second power grid signal transceiver module 202 are used to send and receive information data of multiple power grid device terminals 200;

[0067] The bidirectional request module 300 is used to verify multiple prosumer power devices 100 to determine whether a connection can be established; the bidirectional request module 300 includes a second request module 301 and a first request module 302. A connection is established between the first request module 302 and the first operation terminal 700, and a connection is established between the second request module 301 and the second operation terminal 710, so that prosumers can respond to authentication requests and confirm peak shaving information;

[0068] The bidirectional authentication module 400 is used to verify the prosumer power device 100 and the power grid device terminal 200 to determine whether a connection can be established; the bidirectional authentication module 400 includes a first authentication module 401, a second authentication module 402 and an authentication comparison module 403, which are used to match the prosumer power device 100 and the power grid device terminal 200 and establish power consumption connection information;

[0069] The cloud database 500 is used to store original power consumption data. After successful authentication, the first data acquisition module 600 and the second data acquisition module 610 respectively acquire the verification data information of the bidirectional request module 300 and the bidirectional authentication module 400; the cloud database 500 also includes a decision-making module 510, a prediction module 520 and an execution and feedback module 530. The prediction module 520 is used to analyze and compare the data in the cloud database 500 using a neural network algorithm to predict the future power supply and demand situation. The decision-making module 510 is used to specify the optimal energy usage strategy according to the prediction result and the current status of the power grid device terminal 200, while the execution and feedback module 530 is used to automatically control the working state of the power grid device terminal 200 for the decision-making instruction generated by the prediction module 520, and detect the actual effect and compare it with the predicted value, and feed the result back to the prediction module 520 to provide a basis for the next round of prediction;

[0070] The operation terminal 700 is used for establishing connections between users; the resource sharing platform 800 is used for storing the surplus energy generated by the power grid device terminals 200 and allowing prosumers to share the surplus energy, such as excess electricity, stored energy, etc., to improve energy utilization efficiency; the resource sharing platform 800 includes a power storage module 801, a dynamic electricity price module 802, a power generation configuration module 803, and a flow monitoring module 804. The power storage module 801, the dynamic electricity price module 802, and the power generation configuration module 803 cooperate to calculate and audit the shared resources, while the flow monitoring module 804 is used to monitor the peak shaving electricity consumption.

[0071] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for prosumers to participate in auxiliary peak shaving based on neural algorithms, characterized in that: Including the following steps: In the prosumer power equipment (100), the prosumer transceiver module one (101) and the prosumer transceiver module two (102) continuously and automatically transmit a wireless authentication ID into the authentication module one (401); In the power grid equipment terminal (200), the power grid signal transceiver module one (201) and the power grid signal transceiver module two (202) continuously and automatically transmit a wireless authentication ID into the authentication module two (402); In the mutual authentication module (400), the authentication comparison module (403) conducts a comparison authentication on the wireless authentication IDs accessed in the authentication module one (401) and the authentication module two (402); After successful authentication, the data acquisition module two (610) sends the acquired authentication information to the cloud database (500) for transcoding processing; The cloud database (500) inputs the transcoded acquired authentication data and the original data into the prediction module (520) to conduct real-time prediction and analysis of the power consumption, and uses the two-way request module (300) for peak shaving; The prediction module (520) transfers the analyzed data into the decision-making module (510) to formulate a power consumption strategy and transmits it to the execution and feedback module (530) for execution; The execution and feedback module (530) inputs the execution data into the power grid equipment terminal (200) to control the power input amount of the power grid equipment terminal (200) to the prosumer power equipment (100) and regulate the power consumption of the prosumer power equipment (100); The peak shaving step of the two-way request module (300) further includes: The excess energy power generated within the two-way request module (300) is input into the resource sharing platform (800), and the power storage module (801) and the dynamic electricity price module (802) are used to audit the energy and the power generation configuration module (803) is used for storage and allocation; The prosumer transceiver module one (101) and the prosumer transceiver module two (102) continuously and automatically transmit a wireless authentication request ID into the request module two (301) and the request module one (302) respectively; The operation terminal one (700) confirms the request ID input into the request module one (302), and the operation terminal two (710) conducts confirmation authentication on the request ID input into the request module two (301); After successful authentication, the request data is input into the data acquisition module one (600) and sent to the cloud database (500) after transcoding processing; The cloud database (500) inputs the acquired data into the decision-making module (510) to formulate a peak shaving strategy and the execution and feedback module (530) executes the peak shaving data; The execution and feedback module (530) inputs the peak shaving data into the power generation configuration module (803), and the power storage module (801) quantitatively retrieves the power in the power storage module (801) and sends it into the prosumer power equipment (100) for use.

2. The method for prosumer participation in assisting peak shaving based on neural algorithm according to claim 1, characterized in that: The operation terminal one (700) and the operation terminal two (710) are computers and smart phones that can be remotely operated by users.

3. A prosumer participation assisted peak shaving system based on a neural algorithm, comprising the method for prosumer participation assisted peak shaving based on a neural algorithm according to any one of claims 1-2, characterized in that: Including: The prosumer power equipment (100) The prosumer power equipment (100) is an electricity-consuming equipment; Grid equipment terminal (200), and the grid equipment terminal (200) is a power generation equipment such as a solar photovoltaic panel and a wind turbine; among them, there are multiple prosumer power equipment (100) and grid equipment terminals (200); Two-way request module (300); the two-way request module (300) is used to verify multiple prosumer power equipment (100) to determine whether a connection can be established; Two-way authentication module (400); the two-way authentication module (400) is used to verify the prosumer power equipment (100) and the grid equipment terminal (200) to determine whether a connection can be established; Cloud database (500); the cloud database (500) is used to store the original power consumption data. After successful authentication, the data acquisition module one (600) and the data acquisition module two (610) respectively collect the verification data information of the two-way request module (300) and the two-way authentication module (400); Operation terminal one (700); the operation terminal one (700) is used to establish communication between users; The resource sharing platform (800) is used to store the excess energy generated by the grid equipment terminal (200), and allows prosumers to share the excess energy, such as excess electricity, stored energy, etc., to improve energy utilization efficiency.

4. The system for prosumer participation in auxiliary peak shaving based on neural algorithms according to claim 1, characterized in that: The prosumer power equipment (100) includes a prosumer transceiver module one (101) and a prosumer transceiver module two (102), and the prosumer transceiver module one (101) and the prosumer transceiver module two (102) are respectively used to send and receive signals of different prosumers.

5. The system for prosumer participation in assisting peak shaving based on neural algorithms according to claim 1, characterized in that: The grid equipment terminal (200) includes a grid signal transceiver module one (201) and a grid signal transceiver module two (202), wherein the grid signal transceiver module one (201) and the grid signal transceiver module two (202) are used to send and receive the information data of multiple grid equipment terminals (200).

6. The system for prosumer participation in assisting peak shaving based on neural algorithms according to claim 1, characterized in that: The two-way request module (300) includes a request module two (301) and a request module one (302). A connection is established between the request module one (302) and the operation terminal one (700), and a connection is established between the request module two (301) and the operation terminal two (710) for prosumers to respond to the authentication request and confirm the peak shaving information between each other.

7. The system for prosumer participation in auxiliary peak shaving based on neural algorithms according to claim 1, wherein: The two-way authentication module (400) includes an authentication module one (401), an authentication module two (402) and an authentication comparison module (403), and is used to match between the prosumer power equipment (100) and the grid equipment terminal (200) to establish power consumption connection information.

8. The system for prosumer participation in assisting peak shaving based on neural algorithms according to claim 1, characterized in that: The cloud database (500) further includes a decision-making module (510), a prediction module (520), and an execution and feedback module (530). The prediction module (520) is used to analyze and compare the data in the cloud database (500) using a neural network algorithm to predict the future power supply and demand situation. The decision-making module (510) is used to specify the optimal energy usage strategy based on the prediction results and the current status of the grid device terminal (200). The execution and feedback module (530) is used to automatically control the working state of the grid device terminal (200) according to the decision-making instructions generated by the prediction module (520), detect the actual effect, compare it with the predicted value, and feed the result back to the prediction module (520) to provide a basis for the next round of prediction.

9. The system for prosumer participation in assisting peak shaving based on neural algorithms according to claim 1, characterized in that: The resource sharing platform (800) includes a power storage module (801), a dynamic electricity price module (802), a power generation configuration module (803), and a traffic monitoring module (804). The power storage module (801), the dynamic electricity price module (802), and the power generation configuration module (803) cooperate to calculate and audit the shared resources, while the traffic monitoring module (804) is used to monitor the peak shaving power consumption.

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