Park energy management and control method and system

Abstract

The invention discloses a park energy management and control method and system. The method comprises the following steps: collecting park photovoltaic power generation power, current energy storage electric quantity, park load real-time electric power and park environment information in real time; calculating the average power in the photovoltaic power generation power, the current energy storage electric quantity and the park load real-time electric power in the park; the obtained photovoltaic power generation power, the current energy storage electric quantity, the park load real-time electric power and the calculated value in the park at each moment are stored, and the temperature, the humidity, the radiation value, the weather and the holidays and festivals of each piece of data at the current moment are marked; load grading is carried out on loads in the park according to the importance degree; calculating a load demand value P1 (x + t) and photovoltaic power generation power P2 (x + t) at the next moment based on the obtained data; and comparing the photovoltaic power generation power P2 (x + t) at the next moment with the load demand value P1 (x + t), and adjusting the energy of the park in a grading manner based on the load.

Description

Background Art

[0002] With the development of industrial parks, energy consumption continues to grow, and there are many devices in the park, making energy management complex. Existing parks lack intelligent energy system operation control technology and energy management methods, making it difficult to meet the large-scale access of distributed power sources, distributed energy storage devices, and electric vehicles and user demand-side response. Therefore, designing a park energy management method to achieve effective monitoring, optimal scheduling, and intelligent control of energy has important practical significance and application value for improving the energy efficiency level of the park and reducing energy costs.

[0003] In terms of park energy management and control, although the application of intelligent technology has provided new possibilities for improving energy efficiency and achieving refined management, it still faces a series of challenges and problems in actual operation: 1. Inconsistent technical standards Equipment compatibility issues: The equipment and technical standards provided by different manufacturers may differ, leading to compatibility issues between devices, increasing system complexity and maintenance costs.

[0004] Inconsistent data formats and interfaces: Due to the lack of unified technical standards, the data formats and interfaces generated by different systems and devices may be inconsistent, making data integration and analysis more difficult.

[0005] 2. Safety hazards Cybersecurity threats: With the digitization and networking of the park's energy management and control system, the security of the system has become an important consideration. Cyber ​​threats such as hacker attacks and virus transmission may lead to data leakage, system paralysis and other problems.

[0006] Data privacy protection: The campus energy management system involves a large amount of energy consumption data and personal information. How to protect data privacy while ensuring system security is a problem that needs to be solved.

[0007] 3. Cost Issues High initial investment cost: Building an intelligent campus energy management and control system requires a large amount of capital investment, including purchasing equipment, developing software, laying networks, etc.

[0008] Operation and maintenance costs: The daily maintenance and upgrade of the system also requires continuous investment, which is a considerable burden for some parks with limited funds.

[0009] 4. Lack of talent Shortage of professional and technical personnel: Intelligent park energy management and control systems require professional technicians to develop, maintain and upgrade. However, there is a shortage of relevant talents in the market, which increases the difficulty of park construction and operation of intelligent systems.

[0010] Lack of comprehensive management talents: In addition to professional and technical talents, comprehensive management talents who understand energy management, financial management, project management and other aspects are also needed to ensure the smooth progress and implementation of the project.

[0011] 5. Imperfect policy and regulatory environment Limited policy support: Although the government has introduced some policies to support the construction of smart parks, these policies may not be specific and clear enough in actual operation to provide sufficient support and guidance for the construction and operation of smart systems in parks.

[0012] Incomplete regulations and standards: Currently, relevant regulations and standards are still vague and incomplete, which makes the park face more legal and compliance risks when building and operating intelligent systems. Summary of the invention

[0013] The technical problem to be solved by the present invention is to provide a campus energy management method and system in response to the deficiencies in the above-mentioned prior art, so as to solve the technical problem that the existing methods are difficult to meet the large-scale access of distributed power sources, distributed energy storage devices, and electric vehicles and the user's demand-side response.

[0014] The present invention adopts the following technical solutions: A campus energy management method comprises the following steps: S1. Real-time collection of the park's photovoltaic power generation, current energy storage power, real-time power consumption of the park's loads, and park environmental information; calculation of the average power of the park's photovoltaic power generation, current energy storage power, and real-time power consumption of the park's loads; S2, storing the photovoltaic power generation, current energy storage power, real-time power consumption of the park load and calculated values ​​at each moment obtained in step S1, and marking each data with the current temperature, humidity, radiation value, weather and holidays; S3. Classify the loads in the park according to their importance; S4, calculating the load demand value P1(x+t) and photovoltaic power generation power P2(x+t) at the next moment based on the data obtained in step S2; S5. Compare the photovoltaic power generation power P2(x+t) at the next moment obtained in step S4 with the load demand value P1(x+t), and adjust the energy of the park based on the load classification obtained in step S3.

[0015] Preferably, in step S1, the park environment information includes temperature, humidity, radiation value and weather.

[0016] Preferably, in step S3, load classification specifically includes: Level 1 load is the core and cannot be powered off; Level 2 loads are more important loads and can be adjusted appropriately; Level 3 load is normal load and can be adjusted.

[0017] Preferably, in step S4, the load demand value P1(x+t) at the next moment is calculated based on historical data as follows: Get weather, temperature, humidity and holiday information at time x+t in advance based on the weather; Extract the park load power P(x-1t), P(x-2t), P(x-3t)...P(x-nt) with the same weather, same working day, temperature and humidity from the historical database and the average load value P(v1t), P(v2t), P(v3t), P(v4t)...P(vnt) of the extracted value on the day; calculate the load calculation coefficient C; Determine the average value P (Vnt+x) recorded on the day and the average value P (v) of the nearest day with the same weather, temperature, humidity and holidays; Obtain the load demand value P1(x+t) at the next moment.

[0018] Preferably, the real-time power consumption P1(x+t) at the next moment is: P1(x+t)=C*P(V2) Where P(v2) is the average power of two days.

[0019] Preferably, in step S4, the photovoltaic power generation power P2(x+t) at the next moment is calculated based on historical data as follows: Get weather, temperature, and radiation value information at time x+t in advance based on the weather; Extract the photovoltaic power generation power P(x-1t), P(x-2t), P(x-3t)...P(x-nt) of the park with the same weather, temperature and radiation values ​​in the historical database, and the average power generation power P(v1t), P(v2t), P(v3t), P(v4t)...P(vnt) of the extracted value on the day; Calculate the load calculation factor C; Determine the average value P (Vnt+x) recorded on the day and the average value P (v) of the most recent day with the same weather, temperature, and radiation values; The photovoltaic power generation power P2(x+t) at the next moment is obtained.

[0020] Preferably, the photovoltaic power generation power P2(x+t) at the next moment is calculated as follows: P2(x+t)=C*P(V2) Where P(v2) is the average power of two days.

[0021] Preferably, the load calculation coefficient C is calculated as follows: C =

P(x - 1t) / P(v1t) + P(x - 2t) / P(v2t) + P(x - 3t) / P(v3t) + P(x - 4t) / P(v4t) +... P(x - nt) / P(vnt)

[0022] Preferably, in step S5, when P2(x + t) >= P1(x + t), start the energy storage for charging; When P2(x + t) < P1(x + t), cut off the 3 - level load in sequence. When P2(x + t) >= P1(x + t), stop the regulation; When the regulation of the 3 - level load is completed and P2(x + t) < P1(x + t), start the energy storage discharge mode; if P2(x + t) + P(storage) >= P1(x + t) at this time, do not process; When P2(x + t) + P(storage) < P1(x + t), cut off the 2 - level load in sequence. When P2(x + t) + P(storage) >= P1(x + t), stop the regulation; When the regulation of the 2 - level load is completed and P2(x + t) + P(storage) < P1(x + t), enable the mains power to supply power to the park.

[0023] In a second aspect, an embodiment of the present invention provides a park energy management and control system, including: An acquisition module, which collects the photovoltaic power generation power of the park, the current power of the energy storage, the real - time power consumption of the park load, and the park environment information in real time; calculates the average power of the photovoltaic power generation power, the current power of the energy storage, and the real - time power consumption of the park load in the park; A storage module, which stores the photovoltaic power generation power, the current power of the energy storage, the real - time power consumption of the park load and the calculated values obtained in step S1 at each moment in the park, and marks the temperature, humidity, radiation value, weather and holidays of each data at the current moment; A classification module, which classifies the loads in the park according to the importance level; A calculation module, which calculates the next - moment load demand value P1(x + t) and the photovoltaic power generation power P2(x + t) based on the data obtained from the storage module; A control module, which compares the next - moment photovoltaic power generation power P2(x + t) and the load demand value P1(x + t) obtained by the calculation module, and adjusts the park energy based on the load classification obtained by the classification module.

[0024] In a third aspect, a computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the above - mentioned park energy management and control method.

[0025] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned campus energy management and control method.

[0026] Compared with the prior art, the present invention has at least the following beneficial effects: A park energy control method has the following characteristics: By collecting photovoltaic power generation, energy storage, load power and environmental information in real time and calculating average power, this method can accurately grasp the current energy supply and demand status of the park. At the same time, the prediction model based on historical data and current environmental information (step S4) can more accurately predict the load demand and photovoltaic power generation at future times, thereby achieving real-time response and advance scheduling of park energy.

[0027] By storing detailed data at every moment and marking it with environmental factors (such as temperature, humidity, radiation value, weather and holidays), the system can more comprehensively understand the context of energy use. This helps to more accurately identify the patterns and trends of energy use in subsequent analysis and optimization, thereby formulating more efficient energy management strategies.

[0028] The loads in the park are classified according to their importance (step S3), so that when the energy supply is tight, the power supply needs of key loads can be guaranteed first. This hierarchical management strategy not only improves the flexibility of energy use, but also ensures the continuous operation of important facilities and businesses in the park, and enhances the overall stability and reliability of the park.

[0029] Based on the comparison of photovoltaic power generation and load demand value, the system can intelligently adjust the energy distribution in the park (step S5). When the photovoltaic power generation is sufficient, clean energy can be used first to reduce the dependence on traditional energy; when the photovoltaic power generation is insufficient, the supply and demand relationship can be balanced by adjusting the power consumption time of non-critical loads or reducing their power consumption to achieve the goal of energy saving and consumption reduction.

[0030] Through precise energy management and intelligent scheduling strategies, the park can ensure the stability and reliability of power supply and reduce the occurrence of power outages and voltage fluctuations. This helps to improve the power consumption experience of residents, businesses and employees in the park and enhance their satisfaction and loyalty to the park.

[0031] The method of the present invention encourages the park to make full use of renewable energy (such as photovoltaic power generation) and reduce dependence on traditional energy and carbon emissions. This helps promote the green development and sustainable development of the park, which is in line with the global trend and requirements of environmental protection and energy conservation and emission reduction.

[0032] It can be understood that the beneficial effects of the second aspect mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.

[0033] In summary, the present invention can accurately predict and respond in real time, realize efficient energy management, load classification management, intelligent scheduling and energy saving and consumption reduction, improve user experience and satisfaction, and promote sustainable development.

[0034] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings to be used in the description of 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.

[0036] Figure 1 It is a flow chart of the present invention; Figure 2 A schematic diagram of a computer device provided by an embodiment of the present invention; Figure 3 The present invention is a block diagram of an electronic device provided according to an embodiment. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] In the description of the present invention, it should be understood that the terms “include” and “comprises” indicate the presence of described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0039] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0040] It should be further understood that the term "and / or" used in the present specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in the present invention generally indicates that the associated objects are in an "or" relationship.

[0041] It should be understood that, although the terms first, second, third, etc. may be used to describe preset ranges, etc. in the embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are only used to distinguish preset ranges from each other. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0042] The word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0043] Various structural schematic diagrams of the embodiments disclosed in the present invention are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0044] The present invention provides a park energy management and control method, including the collection and statistics of energy data in the park, park load classification management, intelligent control algorithm design, energy optimization scheduling strategy generation and control, etc. Through centralized monitoring and management of various energy equipment in the park, real-time collection, analysis, processing and optimization scheduling of energy data are realized, energy utilization efficiency is improved, and energy waste is reduced.

[0045] The present invention provides a park energy management and control method, comprising the following steps: S1. Real-time collection of the park's photovoltaic power generation, current energy storage power, real-time power consumption of the park's loads, and park environmental information; calculation of the average power of the park's photovoltaic power generation, current energy storage power, and real-time power consumption of the park's loads; Among them, the park environment information includes: temperature, humidity, radiation value, and weather (sunny, rainy, snowy).

[0046] When calculating the average power of photovoltaic power generation in the park, the current power of energy storage, and the real-time power consumption of the park load, the sliding average or simple average method is used. The specific choice depends on the characteristics of the data and the system's requirements for real-time performance.

[0047] The simple average method is to add up all the values ​​collected over a period of time and then divide by the number of values. This method is simple to calculate, but may not reflect recent trends well.

[0048] Calculation steps: Set a time window, such as data from the past hour, half an hour, or 10 minutes.

[0049] During this time window, real-time data of all photovoltaic power generation, energy storage power, and load power consumption are collected.

[0050] These data are summed and divided by the number of data points to give the average power.

[0051] The sliding average method is a method of dynamically calculating the average value. It only considers the most recent data points. As new data is added, the oldest data points are removed. This method can better reflect recent trends.

[0052] Calculation steps: Set the size of a sliding window, for example to include the most recent 10 data points.

[0053] Maintain a queue (or list) to store the data points within the sliding window.

[0054] When a new data point arrives, it is added to the end of the queue and the first data point in the queue (i.e. the oldest data point) is removed.

[0055] The data points in the queue are summed and then divided by the length of the queue (i.e. the size of the sliding window) to get the new average power.

[0056] S2, store the photovoltaic power generation, current energy storage power, real-time power consumption of the park load and calculated values ​​at each moment, and mark each data with the current temperature, humidity, radiation value, weather and holidays; S3. Classify the loads in the park according to their importance; The load classification specifically includes: level 1 load, level 2 load, and level 3 load; among them, level 1 load is the core load and cannot be powered off; level 2 load is the more important load and can be adjusted appropriately; level 3 load is the normal load and can be adjusted.

[0057] S4. Calculate the load demand value P1(x+t) and photovoltaic power generation power P2(x+t) at the next moment based on historical data; S401. Calculate the load demand value P1(x+t) at the next moment (15 minutes) based on historical data: Get weather, temperature, humidity and holiday information at time x+t in advance based on the weather; Extract the park load power P(x-1t), P(x-2t), P(x-3t)...P(x-nt) of the same weather, same working day, temperature (range can be set), humidity (range can be set) from the historical database and the average load values ​​P(v1t), P(v2t), P(v3t), P(v4t)...P(vnt) of the extracted value on the day.

[0058] Calculate the load calculation factor: C=【P(x-1t) / P(v1t)+P(x-2t) / P(v2t)+P(x-3t) / P(v3t)+P(x-4t) / P(v4t)+...P(x-nt) / P(vnt)] / n Calculate the average value P (Vnt + x) recorded on the day and the average value P (v) of the nearest day with the same weather, temperature, humidity and holidays.

[0059] The real-time power consumption P1(x+t) at the next moment is: P1(x+t)=C*P(V2) Where P(v2) is the average power of two days.

[0060] S402, calculating the photovoltaic power generation power P2(x+t) at the next moment (15 minutes) based on historical data.

[0061] Get information about weather, temperature, radiation value, etc. at time x+t in advance based on the weather.

[0062] Extract the photovoltaic power generation power P(x-1t), P(x-2t), P(x-3t)...P(x-nt) of the park with the same weather, temperature (range can be set), and radiation value (range can be set) from the historical database, and the average power generation power P(v1t), P(v2t), P(v3t), P(v4t)...P(vnt) of the extracted value on the day.

[0063] Calculate the load calculation factor: C=【P(x-1t) / P(v1t)+P(x-2t) / P(v2t)+P(x-3t) / P(v3t)+P(x-4t) / P(v4t)+...P(x-nt) / P(vnt)] / n Calculate the average value P(Vnt+x) recorded on the same day and the average value P(v) of the day with the closest weather, temperature, and radiation values.

[0064] The photovoltaic power generation P2(x+t) at the next moment is calculated as follows: P2(x+t)=C*P(V2) Where P(v2) is the average power of two days.

[0065] S5. Based on the load demand value P1(x+t) and the photovoltaic power generation P2(x+t) at the next moment obtained in step S4, compare the photovoltaic power generation P2(x+t) at the next moment with the park power consumption load P1(x+t) to achieve park energy regulation.

[0066] When P2(x+t)>=P1(x+t), start the energy storage for charging.

[0067] When P2(x+t)<P1(x+t), cut off the 3-level load in sequence. When P2(x+t)>=P1(x+t), stop the regulation.

[0068] When the regulation of the 3-level load is completed and P2(x+t)<P1(x+t), start the energy storage discharge mode; if P2(x+t)+P(storage)>=P1(x+t) at this time, no processing is performed.

[0069] When P2(x+t)+P(storage)<P1(x+t), cut off the 2-level load in sequence. When P2(x+t)+P(storage)>=P1(x+t), stop the regulation.

[0070] When the regulation of the 2-level load is completed and P2(x+t)+P(storage)<P1(x+t), enable the city power to supply power to the park.

[0071] Those skilled in the art can understand that various aspects of the present invention can be implemented as a system, method, or program product. Therefore, various aspects of the present invention can be specifically implemented in the following forms, namely: a complete hardware implementation, a complete software implementation (including firmware, microcode, etc.), or an implementation combining hardware and software aspects, which can be collectively referred to as "circuit", "module", or "platform" here.

[0072] In another embodiment of the present invention, a park energy management and control system is provided. This system can be used to implement the above park energy management and control method. Specifically, the park energy management and control system includes a collection module, a storage module, a classification module, a calculation module, and a control module.

[0073] Among them, the collection module collects the photovoltaic power generation power, current energy storage power, real-time power consumption of the park load, and park environmental information in real time; calculates the average power of the photovoltaic power generation power, current energy storage power, and real-time power consumption of the park load in the park; The storage module stores the photovoltaic power generation, current energy storage power, real-time power consumption and calculated value of the park load at each moment obtained in step S1, and marks each data with the current temperature, humidity, radiation value, weather and holidays; The classification module classifies the loads in the park according to their importance; A calculation module calculates the load demand value P1(x+t) and photovoltaic power generation power P2(x+t) at the next moment based on the data obtained by the storage module; The control module compares the photovoltaic power generation power P2(x+t) at the next moment obtained by the calculation module and the load demand value P1(x+t), and adjusts the energy of the park based on the load classification obtained by the classification module.

[0074] In another embodiment of the present invention, a terminal device is provided, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of the park energy management and control method, including: Collect the photovoltaic power generation power, current energy storage power, real-time power consumption of the park load, and park environmental information in real time; calculate the average power of the photovoltaic power generation power, current energy storage power, and real-time power consumption of the park load in the park; store the photovoltaic power generation power, current energy storage power, real-time power consumption of the park load and the calculated value in the park at each moment, and mark each data with the current temperature, humidity, radiation value, weather and holidays; classify the loads in the park according to their importance; calculate the load demand value P1(x+t) and photovoltaic power generation power P2(x+t) at the next moment based on the obtained data; compare the photovoltaic power generation power P2(x+t) and load demand value P1(x+t) at the next moment, and adjust the park energy based on load classification.

[0075] In another embodiment of the present invention, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a terminal device for storing programs and data. It is understandable that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and the extended storage medium supported by the terminal device, and can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that more specific examples (non-exhaustive list) of the computer-readable storage medium here include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0076] Computer readable storage media also include data signals propagated in baseband or as part of a carrier wave, which carry readable program codes. Such propagated data signals can take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable storage medium can also be any readable medium other than a readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, device, or device. The program code contained on the readable storage medium can be transmitted using any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above.

[0077] Program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0078] The processor may load and execute one or more instructions stored in a computer-readable storage medium to implement the corresponding steps of the park energy management and control method in the above embodiment; the processor may load and execute the following steps: Collect the photovoltaic power generation power, current energy storage power, real-time power consumption of the park load, and park environmental information in real time; calculate the average power of the photovoltaic power generation power, current energy storage power, and real-time power consumption of the park load in the park; store the photovoltaic power generation power, current energy storage power, real-time power consumption of the park load and the calculated value in the park at each moment, and mark each data with the current temperature, humidity, radiation value, weather and holidays; classify the loads in the park according to their importance; calculate the load demand value P1(x+t) and photovoltaic power generation power P2(x+t) at the next moment based on the obtained data; compare the photovoltaic power generation power P2(x+t) and load demand value P1(x+t) at the next moment, and adjust the park energy based on load classification.

[0079] See also Figure 2 , the terminal device is a computer device, and the computer device 60 of this embodiment includes: a processor 61, a memory 62, and a computer program 63 stored in the memory 62 and executable on the processor 61. When the computer program 63 is executed by the processor 61, the park energy management method of the embodiment is implemented. To avoid repetition, it is not described here one by one. Alternatively, when the computer program 63 is executed by the processor 61, the functions of each model / unit in the park energy management system of the embodiment are implemented. To avoid repetition, it is not described here one by one.

[0080] The computer device 60 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The computer device 60 may include, but is not limited to, a processor 61 and a memory 62. Those skilled in the art will appreciate that Figure 2 This is only an example of the computer device 60 and does not constitute a limitation of the computer device 60. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0081] The processor 61 may be a central processing unit (CPU), or other general-purpose processors, central processing units, graphics processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, data processing logic based on quantum computing, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0082] The memory 62 may be an internal storage unit of the computer device 60, such as a hard disk or memory of the computer device 60. The memory 62 may also be an external storage device of the computer device 60, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the computer device 60.

[0083] Furthermore, the memory 62 may include both an internal storage unit of the computer device 60 and an external storage device. The memory 62 is used to store computer programs and other programs and data required by the computer device. The memory 62 may also be used to temporarily store data that has been output or is to be output.

[0084] Any reference to a memory, database or other medium used in the embodiments provided in the present application may include at least one of a non-volatile and a volatile memory. Non-volatile memory may include a read-only memory (ROM), a magnetic tape, a floppy disk, a flash memory, an optical memory, a high-density embedded non-volatile memory, a resistive random access memory (ReRAM), a magnetic random access memory (MRAM), a ferroelectric random access memory (FRAM), a phase change memory (PCM), a graphene memory, etc. Volatile memory may include a random access memory (RAM) or an external cache memory, etc. As an illustration and not limitation, RAM may be in various forms, such as a static random access memory (SRAM) or a dynamic random access memory (DRAM), etc.

[0085] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0086] See also Figure 3 The terminal device 600 is an electronic device, and the electronic device is in the form of a general computing device. The components of the electronic device may include but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different platform components (including the storage unit 620 and the processing unit 610), a display unit 640, etc.

[0087] The storage unit stores program codes, which can be executed by the processing unit 610, so that the processing unit 610 performs the steps according to various exemplary embodiments of the present invention described in the above method section of this specification. For example, the processing unit 610 can perform the following steps: Figure 1 Follow the steps shown in .

[0088] The storage unit 620 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 6201 and / or a cache memory unit 6202 , and may further include a read-only memory unit (ROM) 6203 .

[0089] The storage unit 620 may also include a program / utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0090] Bus 630 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0091] The electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 600, and / or communicate with any device that enables the electronic device 600 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 650. Furthermore, the electronic device 600 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 660. The network adapter 660 may communicate with other modules of the electronic device 600 via a bus 630. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms, etc.

[0092] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention described and shown in the drawings here can usually be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0093] The park energy management system can accurately identify energy waste and unreasonable use by real-time monitoring and analysis of energy usage in the park. Through optimized scheduling and intelligent control, the system can automatically adjust energy distribution to ensure that energy is reasonably used in all links. This refined management method can significantly improve the energy utilization efficiency of park enterprises, reduce unnecessary energy waste, and thus reduce the energy costs of enterprises.

[0094] Energy costs are an important part of an enterprise's operating costs. Through the park energy management and control system, enterprises can achieve precise control and optimized scheduling of energy use, thereby reducing energy consumption and cost expenditures. In addition, the system can also monitor the operating status and energy consumption of equipment in real time, promptly discover and deal with potential faults and problems, and reduce downtime and maintenance costs caused by equipment failures. Together, these measures can significantly reduce the operating costs of enterprises and improve their economic benefits.

[0095] The park energy management system focuses on green and low-carbon development, and reduces carbon emissions and environmental pollution by optimizing the energy structure and improving energy efficiency. This development model is in line with the trend of global sustainable development, which helps enterprises establish a good social image and enhance their brand value and market competitiveness. At the same time, the park energy management system also encourages enterprises to adopt renewable energy and clean energy, reduce dependence on fossil energy, promote the transformation and upgrading of energy structure, and lay a solid foundation for the long-term development of enterprises.

[0096] The park energy management and control system comprehensively monitors and manages energy usage through digital and intelligent means, improving the management level and efficiency of the enterprise. The system can automatically generate detailed energy usage reports and data analysis results, providing scientific decision-making basis for enterprise managers. At the same time, the system can also realize remote control and automated operation and maintenance, reduce manual intervention and operation difficulty, and improve management efficiency and accuracy. These advantages help enterprises improve their overall management level, operational efficiency and competitiveness.

[0097] The development and application of the park energy management system not only helps enterprises reduce energy costs and operating costs, improve their economic benefits and sustainable development capabilities, but also helps enhance their market competitiveness. With the continuous changes and intensified competition in the global energy market, enterprises need to maintain their competitive advantages through technological innovation and management innovation. As an advanced management concept and technical means, the park energy management system can provide strong support and guarantee for enterprises, helping them stand out in the fierce market competition.

[0098] The present invention adopts methods such as accuracy assessment, sensitivity assessment and stability assessment to comprehensively evaluate the performance of the system. The evaluation results show that the energy control system has high accuracy and reliability and can meet the energy management needs of the park.

[0099] This invention protects the overall architecture of the park energy control system, energy monitoring and analysis modules, energy optimization scheduling strategy, intelligent control algorithm design, system implementation and hardware integration, etc. Any unauthorized use, copying, modification, disclosure, sale or manufacture of this invention is an infringement and will be subject to legal sanctions.

[0100] In summary, the present invention provides a park energy management and control method and system, which realizes real-time monitoring and data collection of park energy equipment through energy monitoring and analysis modules; formulates optimal energy production and scheduling plans through energy optimization scheduling strategies; realizes intelligent control of energy equipment through intelligent control algorithm design; and realizes practical application of the system through system implementation and hardware integration.

[0101] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0102] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0103] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0104] In the embodiments provided by the present invention, it should be understood that the disclosed devices / terminals and methods can be implemented in other ways. For example, the device / terminal embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0105] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0106] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0107] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0108] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0109] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0110] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0111] The above contents are only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A park energy management and control method, characterized in that: The following steps are involved: S1. Real-time collection of the park's photovoltaic power generation, current energy storage power, real-time power consumption of the park's loads, and park environmental information; calculation of the average power of the park's photovoltaic power generation, current energy storage power, and real-time power consumption of the park's loads; S2, storing the photovoltaic power generation, current energy storage power, real-time power consumption of the park load and calculated values ​​at each moment obtained in step S1, and marking each data with the current temperature, humidity, radiation value, weather and holidays; S3. Classify the loads in the park according to their importance; S4, calculating the load demand value P1(x+t) and photovoltaic power generation power P2(x+t) at the next moment based on the data obtained in step S2; S5. Compare the photovoltaic power generation power P2(x+t) at the next moment obtained in step S4 with the load demand value P1(x+t), and adjust the energy of the park based on the load classification obtained in step S3.

2. The park energy management method according to claim 1, characterized in that: In step S1, the park environment information includes temperature, humidity, radiation value and weather.

3. The park energy management and control method according to claim 1, characterized in that: In step S3, load classification specifically includes: Level 1 load is the core and cannot be powered off; Level 2 loads are more important loads and can be adjusted appropriately; Level 3 load is normal load and can be adjusted.

4. The park energy management and control method according to claim 1, characterized in that: In step S4, the load demand value P1(x+t) at the next moment is calculated based on historical data as follows: Get weather, temperature, humidity and holiday information at time x+t in advance based on the weather; Extract the park load power P(x-1t), P(x-2t), P(x-3t)...P(x-nt) with the same weather, same working day, temperature and humidity from the historical database and the average load value P(v1t), P(v2t), P(v3t), P(v4t)...P(vnt) of the extracted value on the day; calculate the load calculation coefficient C; Determine the average value P (Vnt+x) recorded on the day and the average value P (v) of the nearest day with the same weather, temperature, humidity and holidays; Obtain the load demand value P1(x+t) at the next moment.

5. The park energy management and control method according to claim 4, characterized in that: The real-time power consumption P1(x+t) at the next moment is: P1(x+t)=C*P(V2) Where P(v2) is the average power of two days.

6. The park energy management and control method according to claim 1, characterized in that: In step S4, the photovoltaic power generation power P2(x+t) at the next moment is calculated based on historical data as follows: Get weather, temperature, and radiation value information at time x+t in advance based on the weather; Extract the photovoltaic power generation power P(x-1t), P(x-2t), P(x-3t)...P(x-nt) of the park with the same weather, temperature and radiation values ​​in the historical database, and the average power generation power P(v1t), P(v2t), P(v3t), P(v4t)...P(vnt) of the extracted value on the day; Calculate the load calculation factor C; Determine the average value P (Vnt+x) recorded on the day and the average value P (v) of the most recent day with the same weather, temperature, and radiation values; The photovoltaic power generation power P2(x+t) at the next moment is obtained.

7. The park energy management and control method according to claim 6, characterized in that: The photovoltaic power generation power P2(x+t) at the next moment is calculated as follows: P2(x+t)=C*P(V2) Among them, P(v2) is the average power for two days.

8. The park energy management and control method according to claim 4 or 6, characterized in that: The load calculation coefficient C is calculated as follows: C = 【P(x - 1t) / P(v1t) + P(x - 2t) / P(v2t) + P(x - 3t) / P(v3t) + P(x - 4t) / P(v4t) +... P(x - nt) / P(vnt)】 / n.

9. The park energy management and control method according to claim 1, characterized in that: In step S5, when P2(x + t) >= P1(x + t), start the energy storage for charging; When P2(x + t) < P1(x + t), cut off the three - level load in sequence. When P2(x + t) >= P1(x + t), stop the regulation; When the regulation of the three - level load is completed and P2(x + t) < P1(x + t), start the energy storage discharge mode; if P2(x + t) + P(storage) >= P1(x + t) at this time, no processing is performed; When P2(x + t) + P(storage) < P1(x + t), cut off the two - level load in sequence. When P2(x + t) + P(storage) >= P1(x + t), stop the regulation; When the regulation of the two - level load is completed and P2(x + t) + P(storage) < P1(x + t), enable the mains power to supply power to the park.

10. A park energy management and control system, characterized in that: Including: A collection module that collects the photovoltaic power generation of the park, the current power of the energy storage, the real - time power consumption of the park load, and the park environmental information in real time; Calculate the average power within the photovoltaic power generation of the park, the current power of the energy storage, and the real - time power consumption of the park load; A storage module that stores the photovoltaic power generation of the park, the current power of the energy storage, the real - time power consumption of the park load and the calculated values at each moment obtained in step S1, and marks the temperature, humidity, radiation value, weather and holiday of each data at the current moment; A grading module that grades the loads in the park according to the importance; A calculation module that calculates the next - moment load demand value P1(x + t) and the photovoltaic power generation P2(x + t) based on the data obtained from the storage module; A control module that compares the next - moment photovoltaic power generation P2(x + t) and the load demand value P1(x + t) obtained by the calculation module, and adjusts the park energy based on the load grading obtained from the grading module.

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