Optimization and Control Method of Source-Load-Storage Layered Balance in Industrial Townships

Abstract

This invention belongs to the field of energy load-storage optimization and control technology, specifically a method for hierarchical balance optimization and control of energy sources, load, and storage in industrial towns. The steps include: hierarchically dividing the historical energy source, load, and storage status of each area in the industrial town to obtain hierarchical division results; obtaining a comprehensive set of historical energy source, load, and storage status and a hierarchical independent balance reference assessment range based on the historical energy source, load, and storage status and the hierarchical independent balance reference assessment range; analyzing the current energy source, load, and storage status of each level in the industrial town to obtain the current energy source, load, and storage characteristic values ​​and fluctuation values ​​of each level; correcting the current energy source, load, and storage characteristic values ​​of each level and comparing them with the corresponding hierarchical independent balance reference assessment range to obtain an initial control scheme; and analyzing the application results of the initial control scheme to obtain optimization judgment results. This invention optimizes energy use, reduces waste, improves overall energy utilization efficiency, and enables continuous monitoring, evaluation, and improvement of energy management strategies.

Description

Technical Field

[0001] The invention belongs to the technical field of load-storage optimization and regulation, and specifically relates to a method for optimizing and regulating the stratified balance of source-load-storage in industrial towns and villages. Background Art

[0002] With the acceleration of industrialization and the advancement of urbanization, industrial towns are facing increasing challenges in energy consumption and environmental impact. How to effectively manage energy consumption, optimize energy utilization, and reduce environmental pollution has become an urgent problem to be solved. Developing an optimization and regulation method to achieve the balance and efficient utilization of source, load, and storage has important practical significance. In the energy system, the balance between source (power generation source), load (electric load), and storage (energy storage) is crucial. The balance of source, load, and storage not only affects the economy of the energy system, but also the stability and safety of the system. Systematic analysis and optimization of these factors can improve the overall performance of the energy system.

[0003] Energy management in industrial towns involves multiple levels of regions, and the energy demand and supply conditions in each region vary greatly. By stratifying each region, energy regulation can be more accurately carried out, and management efficiency and effectiveness can be improved. The advancement of modern data analysis technology has made energy management based on historical data possible. Through in-depth analysis of historical status, future demand and supply conditions can be more accurately predicted, thereby formulating more effective regulation plans.

[0004] However, there are still some shortcomings in the current research on the optimization and regulation of sources, loads and storage. The traditional optimization and regulation lacks dynamic response capabilities and the ability to analyze the regulation results. Insufficient dynamic response capabilities mean that when demand changes or energy supply is interrupted, the system cannot adjust quickly or effectively, resulting in inefficient energy use. This inefficiency not only increases energy costs, but also leads to energy waste. Insufficient analysis capabilities of regulation results lead to misjudgment or blind adjustment of system performance, which further causes improper energy use or insufficient resource allocation, resulting in a decline in economic benefits. Summary of the invention

[0005] In view of the shortcomings of the existing technology, the present invention provides a method for optimizing the source-load-storage stratified balance in industrial towns and villages, which optimizes energy use, reduces waste, improves overall energy utilization efficiency, and can continuously monitor, evaluate and improve energy management strategies.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0007] The method for optimizing the balance of source, load and storage in industrial towns and villages includes the following steps:

[0008] Analyze the historical status of sources, loads and storage in each area of ​​industrial towns, divide each area of ​​industrial towns into different levels, and obtain the hierarchical division results of each area of ​​industrial towns;

[0009] Based on the historical status of sources, loads and storage in each area of ​​industrial towns and the hierarchical division results, hierarchical regional statistics are performed to obtain a comprehensive set of historical status of sources, loads and storage corresponding to each hierarchical division result of industrial towns, and based on the comprehensive set of historical status of sources, loads and storage, a hierarchical independent balance reference value is obtained;

[0010] Based on the level-independent balance reference value, the level-independent balance reference assessment range is obtained by comparison;

[0011] Analyze the current source-load-storage status of each level of industrial towns and obtain the current source-load-storage characteristic values ​​of each level;

[0012] Obtain the source-load-storage ideal state demonstration stored in the database, obtain the current source-load-storage state fluctuation set of each level based on the current source-load-storage state of each level of the industrial township and the source-load-storage ideal state demonstration, obtain the current source-load-storage state fluctuation value of each level based on the current source-load-storage state fluctuation set of each level, and obtain the current source-load-storage state correction judgment result of each level based on the current source-load-storage state fluctuation value of each level;

[0013] Combined with the correction judgment results of the current source-load-storage status of each level, the current source-load-storage characteristic values ​​of each level are corrected and compared with the level-by-level independent balance reference assessment range corresponding to each level to determine whether each level of industrial townships needs initial regulation, and compare the initial regulation plan corresponding to the level that needs regulation;

[0014] Analyze the application results of the initial control plan, determine whether the initial control plan needs to be optimized, and obtain the optimization judgment results.

[0015] Preferably, the process of dividing the industrial townships into different levels is as follows:

[0016] Obtain the historical state data set of source, load and storage, including the historical power generation of the power source, the historical power load demand, the historical energy storage efficiency of the energy storage equipment, and the historical energy release efficiency of the energy storage equipment;

[0017] Based on the acquired source-load-storage historical state data set, the source-load-storage historical state characteristic values ​​are obtained through comprehensive analysis. The source-load-storage historical state characteristic values ​​are used as the analysis basis for the hierarchical division of various areas in industrial towns.

[0018] Compare the source-load-storage historical state characteristic value with the source-load-storage historical state characteristic range corresponding to each level stored in the database;

[0019] If the source-load-storage historical state characteristic value falls into the source-load-storage historical state characteristic range corresponding to a certain level, then the level corresponding to the industrial township area corresponding to the source-load-storage historical state characteristic value is the level corresponding to the source-load-storage historical state characteristic range.

[0020] Preferably, the formula for obtaining the source-load-storage historical state characteristic value is:

[0021] ;

[0022] In the formula, α is the historical state characteristic value of source, load and storage, p is the historical power generation of the power source, s is the historical power load demand, m is the historical energy storage efficiency of the energy storage device, n is the historical energy release efficiency of the energy storage device, k1 is the historical power generation compensation factor of the power source set in the database, k2 is the historical power load demand compensation factor set in the database, k3 is the historical energy storage efficiency compensation factor of the energy storage device set in the database, k4 is the historical energy release efficiency compensation factor of the energy storage device set in the database, and e is a natural constant.

[0023] Preferably, the specific analysis process of obtaining the layer-independent balance reference value based on the comprehensive set of historical states of sources, loads and storages is as follows:

[0024] Obtain the historical power generation of power generation sources in each area of ​​industrial townships;

[0025] Obtaining historical power generation standards of power generation sources stored in a database;

[0026] Compare the historical power generation of power sources in each area of ​​the industrial township with the historical power generation standards of power sources stored in the database:

[0027] If the historical power generation of the power source in any area of ​​an industrial township is greater than or equal to the historical power generation standard of the power source stored in the database, the industrial township area will be marked as an industrial township candidate area;

[0028] If the historical power generation of the power source in any area of ​​an industrial township is less than the historical power generation standard of the power source stored in the database, the industrial township area will not be marked as an industrial township candidate area;

[0029] Based on the stratified division results, the historical status of the source, load and storage of the industrial township candidate areas corresponding to each stratified division result is counted. Any stratified division result corresponds to several industrial township candidate areas.

[0030] Based on the historical source-load-storage status of several industrial township candidate areas corresponding to any hierarchical division result, a comprehensive set of historical source-load-storage status is obtained, including the comprehensive power generation of power sources, the comprehensive power load demand, the comprehensive energy storage efficiency of energy storage equipment, and the comprehensive energy release efficiency of energy storage equipment;

[0031] Obtain layer-independent balance reference values ​​based on a comprehensive set of historical source-load-storage status.

[0032] Preferably, the specific analysis process of obtaining the corrected judgment result of the current source-load-storage state of each level based on the current source-load-storage state fluctuation value of each level is as follows:

[0033] Obtain the source-load-storage ideal state demonstration stored in the database, and obtain the current source-load-storage state standard set of the hierarchy based on the source-load-storage ideal state demonstration, including the standard installed capacity of the power generation source, the standard power generation of the power generation source, the standard load demand, the standard capacity of the energy storage device, and the standard storage capacity of the energy storage device;

[0034] Based on the current source-load-storage status of any level of industrial townships, obtain the current source-load-storage status data set of the level, including the installed capacity of the power generation source, the actual power generation of the power generation source, the real-time load demand, the total capacity of the energy storage equipment, and the current storage capacity of the energy storage equipment;

[0035] Compare the current source-load-storage state data set corresponding to the industrial township level and the current source-load-storage state standard set to obtain the current source-load-storage state fluctuation set, including the fluctuating installed capacity of the power generation source, the fluctuating power generation of the power generation source, the fluctuating load demand, the fluctuating capacity of the energy storage equipment, and the fluctuating storage capacity of the energy storage equipment;

[0036] Obtain the current source-load-storage state fluctuation value of the layer based on the current source-load-storage state fluctuation set of the layer;

[0037] Obtain the source load storage state fluctuation value limit stored in the database;

[0038] Compare the current source-load-storage state fluctuation value of the level with the source-load-storage state fluctuation value limit stored in the database to obtain the correction judgment result of the current source-load-storage state of the level:

[0039] If the current source-load-storage state fluctuation value of the level is greater than the source-load-storage state fluctuation value limit stored in the database, the correction judgment result of the current source-load-storage state of the level is a non-correction state, and a fluctuation warning is sent to the industrial township area covered by the level and fault troubleshooting is carried out;

[0040] If the current source-load-storage state fluctuation value of the level is less than or equal to the source-load-storage state fluctuation value limit stored in the database, the correction judgment result of the current source-load-storage state of the level is the correction state.

[0041] Preferably, the specific analysis process of comparing the initial control scheme corresponding to the level that needs to be regulated is:

[0042] The correction judgment result of the current source-load-storage state of the layer is obtained, and the current source-load-storage state fluctuation value of the layer corresponding to the correction state is obtained;

[0043] Based on the fluctuation value of the current source-load-storage state of the level, a correction ratio of the current source-load-storage state of the level stored in the database is matched;

[0044] Based on the current source-load-storage state characteristic value of the level and the current source-load-storage state correction ratio of the level, the corrected source-load-storage state characteristic value of the level is obtained, and the corrected source-load-storage state characteristic value of the level is the product of the current source-load-storage state characteristic value of the level and the current source-load-storage state correction ratio of the level;

[0045] Compare the source-load-storage state characteristic values ​​after level correction with the level independent balance reference assessment range;

[0046] If the characteristic value of the source-load-storage state after the level correction falls within the level independent balance reference assessment range, then the industrial township level corresponding to the characteristic value of the source-load-storage state after the level correction does not need to be initially regulated;

[0047] If the corrected source-load-storage state characteristic value of the level does not fall within the level independent balance reference assessment range, the industrial township level corresponding to the corrected source-load-storage state characteristic value of the level needs to be initially regulated, and the corrected source-load-storage state characteristic value of the level is compared with the initial regulation plan corresponding to the current source-load-storage state assessment value of each level stored in the database to obtain the initial regulation plan corresponding to the corrected source-load-storage state characteristic value of the level.

[0048] Preferably, the specific analysis process for determining whether the initial control scheme needs to be optimized and obtaining the optimization determination result is as follows:

[0049] Acquire an initial control scheme application result data set, and acquire an application result state characteristic value based on the acquired initial control scheme application result data, and use the application result state characteristic value as an analysis basis for determining whether the initial control scheme needs to be optimized;

[0050] Based on the initial control scheme application result data set, the application result state characteristic value is compared with the application result state reference characteristic value to obtain the optimization judgment result, and the optimization judgment result includes the one to be optimized and the one not to be optimized;

[0051] If the application result state characteristic value is lower than the application result state reference characteristic value, the optimization judgment result is to be optimized;

[0052] If the application result state characteristic value is not lower than the application result state reference characteristic value, the optimization judgment result is not to be optimized.

[0053] Preferably, the initial control scheme application result data set includes energy loss reduction, load and reference load matching rate, and energy equipment operating efficiency.

[0054] Preferably, the method for obtaining the application result state characteristic value is:

[0055] ;

[0056] In the formula, is the characteristic value of the application result state, C is the reduction of energy loss, Q is the matching rate between load and reference load, F is the operating efficiency of energy equipment, and e is a natural constant.

[0057] Preferably, the specific analysis process of comparing the application result state characteristic value with the application result state reference characteristic value to obtain the optimization judgment result is:

[0058] Obtain the energy equipment operating efficiency in the initial control scheme application result data set;

[0059] Obtaining energy equipment operation thresholds stored in a database;

[0060] Compare whether the energy equipment operating efficiency is greater than or equal to the energy equipment operating threshold:

[0061] If not, send equipment warnings to the industrial township areas covered by the hierarchy and replace inefficient equipment, then reapply the initial control plan to obtain the application result state characteristic value;

[0062] If so, compare the application result state feature value with the application result state reference feature value to obtain the optimization judgment result;

[0063] If the optimization judgment result is to be optimized, the industrial township level corresponding to the application result state characteristic value needs to be optimized and regulated and matched with the solution optimization measures stored in the database;

[0064] If the optimization judgment result is not to be optimized, the industrial township level corresponding to the application result status characteristic value does not need to be optimized and regulated.

[0065] The present invention has the following beneficial effects:

[0066] Through hierarchical division and analysis, the present invention enables each region to customize an energy management strategy based on its specific needs and conditions. This strategy can optimize energy use, reduce waste, and improve overall energy utilization efficiency. The analysis of the current source, load, and storage status of each level can monitor and adjust the operation of the energy system in real time, reduce the instability and failure rate of the system, and enhance the reliability of the system. The analysis and optimization of the application results of the initial control plan provides a mechanism for continuous monitoring, evaluation, and improvement of energy management strategies to ensure that the system always operates in the optimal state.

[0067] The present invention obtains the hierarchical division results of each area of ​​the industrial township by dividing each area into levels. Through the hierarchical division, a large industrial area can be divided into smaller management units, so that the management is more refined and efficient. Each level can formulate corresponding management strategies and measures according to its specific needs and characteristics. The needs and utilization efficiency of resources in areas of different levels are different. Through clear hierarchical division, the optimal allocation of resources can be achieved to ensure that resources are used most reasonably at each level. The hierarchical division enables decision makers to more easily identify the specific needs and problems of each area, so as to make more reasonable and targeted decisions and improve the quality and effect of decisions.

[0068] The present invention analyzes the application results of the initial control scheme, determines whether the initial control scheme needs to be optimized, monitors and analyzes the application results, and can ensure that the actual implementation effect of the control scheme is consistent with expectations. If there is a deviation, the scheme can be adjusted or optimized in time to improve its effectiveness. Analyzing the results of the control scheme can help the system better adapt to dynamic changes and ensure that the control measures meet current needs. Optimizing the control scheme can reduce system failures and operational risks, especially under high load or complex operating environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 It is a schematic diagram of the method flow of the present invention;

[0070] Figure 2 A flowchart of the steps for determining whether the initial control plan needs to be optimized and obtaining the optimization judgment result;

[0071] Figure 3 Schematic diagram of the change of characteristic values ​​of application result state. DETAILED DESCRIPTION

[0072] The technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings.

[0073] like Figure 1 As shown, the present invention provides a method for optimizing the stratified balance of source, load and storage in industrial towns, including: analyzing the historical status of source, load and storage in each area of ​​the industrial town, dividing each area of ​​the industrial town into levels, and obtaining the stratified division results of each area of ​​the industrial town.

[0074] The specific analysis process is as follows: obtain the source-load-storage historical status data set, including the historical power generation of the power source, the historical power load demand, the historical energy storage efficiency of the energy storage equipment, and the historical energy release efficiency of the energy storage equipment; based on the obtained source-load-storage historical status data set, comprehensively analyze to obtain the source-load-storage historical status characteristic values, and use the source-load-storage historical status characteristic values ​​as the analysis basis for hierarchical division of various industrial township areas; compare the source-load-storage historical status characteristic values ​​with the source-load-storage historical status characteristic ranges corresponding to each level stored in the database; if the source-load-storage historical status characteristic value falls into the source-load-storage historical status characteristic range corresponding to a certain level, then the level corresponding to the industrial township area corresponding to the source-load-storage historical status characteristic value is the level corresponding to the source-load-storage historical status characteristic range.

[0075] By using historical data (such as power generation, power demand, energy storage efficiency, etc.), the decision-making process becomes more objective and precise, which helps to avoid subjective bias and ensures that decisions are based on verifiable facts; hierarchical division based on the actual historical performance of sources, loads and storage can more effectively match resources and demand, which means that energy supply can be more accurately allocated according to actual demand; understanding the energy use and storage patterns of each region can develop more suitable energy management strategies, thereby improving the energy efficiency of the entire industrial township; reasonable hierarchical division and corresponding management measures can reduce the volatility of the energy system and increase the stability and reliability of the entire system; by dynamically analyzing and responding to various situations reflected in historical data, the adaptability of industrial townships to various emergencies (such as energy shortages, demand surges, etc.) can be enhanced.

[0076] The above-mentioned historical power generation of power sources refers to the total amount of electric energy generated by power generation facilities in the past period of time, reflecting the production capacity and performance of the power generation system. The historical power load demand refers to the power usage or demand peak of an industrial township or a specific area in the past period of time, which is usually obtained through load monitoring equipment in the distribution system. The historical energy storage efficiency of energy storage equipment indicates the efficiency of energy storage equipment (such as batteries or other forms of energy storage systems) when storing energy, usually expressed as the ratio of energy stored in the system to the actual available energy. The energy storage efficiency is monitored and calculated through an energy storage management system (BMS) or dedicated efficiency testing equipment. The historical energy release efficiency of energy storage equipment reflects the efficiency of energy storage equipment when releasing stored energy, usually referring to the ratio of available electric energy to stored electric energy. The release efficiency is also evaluated through energy storage management systems or related monitoring equipment.

[0077] The above-mentioned power generation is the total amount of electric energy that the power system can generate, while the load demand is the demand for electric energy at the consumer end. Ideally, the power generation should be able to meet or slightly exceed the load demand to ensure the stability and continuity of power supply.

[0078] All parameters are homogenized before processing.

[0079] The method for obtaining the historical state characteristic value of source-load-storage is as follows:

[0080] ;

[0081] In the formula, α is the historical state characteristic value of source, load and storage, p is the historical power generation of the power source, s is the historical power load demand, m is the historical energy storage efficiency of the energy storage device, n is the historical energy release efficiency of the energy storage device, k1 is the historical power generation compensation factor of the power source set in the database, k2 is the historical power load demand compensation factor set in the database, k3 is the historical energy storage efficiency compensation factor of the energy storage device set in the database, k4 is the historical energy release efficiency compensation factor of the energy storage device set in the database, e is a natural constant, and ln is a logarithmic function, which represents the logarithm with e as the base.

[0082] α provides a comprehensive view of the past performance of the power system, helping managers understand how the system performs under different conditions, and can be used to assess the stability, reliability, and energy efficiency of the power system. α can reveal potential failure modes of equipment and improve the overall reliability of the system through preventive maintenance.

[0083] The compensation factors in this embodiment are all obtained from a mapping established in a database based on historical data.

[0084] Based on the historical status of sources, loads and storage in each area of ​​industrial towns and the results of stratified division, hierarchical regional statistics are performed to obtain a comprehensive set of historical status of sources, loads and storage corresponding to the stratified division results of industrial towns, and based on the comprehensive set of historical status of sources, loads and storage, hierarchical independent balance reference values ​​are obtained.

[0085] The specific analysis process is as follows: obtain the historical power generation of power sources in each area of ​​the industrial township; obtain the historical power generation standards of the power sources stored in the database; compare the historical power generation of power sources in each area of ​​the industrial township with the historical power generation standards of the power sources stored in the database: if the historical power generation of power sources in any area of ​​the industrial township is greater than or equal to the historical power generation standard of the power source stored in the database, then the industrial township area is marked as an industrial township candidate area; if the historical power generation of power sources in any area of ​​the industrial township is less than the historical power generation standard of the power source stored in the database, then the industrial township area is not marked as an industrial township candidate area.

[0086] By comparing the historical power generation of power sources in any area of ​​an industrial township with the historical power generation standards of the power sources, industrial township areas with insufficient power generation capacity can be identified. Further data collection and processing for the candidate areas of industrial townships can more efficiently monitor the power generation and resource usage of these areas, rather than consuming resources and time to analyze all areas in the overall environment. This not only saves data processing efficiency, but also reduces the errors caused by the participation of areas with smaller power generation contributions in subsequent analysis on the comprehensive hierarchical situation and data evaluation.

[0087] Based on the stratified division results, the historical status of source, load and storage of the industrial township candidate areas corresponding to each stratified division result is counted, and any stratified division result corresponds to several industrial township candidate areas; based on the historical status of source, load and storage of several industrial township candidate areas corresponding to any stratified division result, a comprehensive set of source, load and storage historical status is obtained, including the comprehensive power generation of power sources, the comprehensive power load demand, the comprehensive energy storage efficiency of energy storage equipment, and the comprehensive energy release efficiency of energy storage equipment; based on the comprehensive set of source, load and storage historical status, a hierarchical independent balance reference value is obtained.

[0088] The calculation formula of the level independent balance reference value is:

[0089] ;

[0090] In the formula, A is the reference value of the independent balance of the level, P is the comprehensive power generation of the power source, S is the comprehensive power load demand, M is the comprehensive energy storage efficiency of the energy storage equipment, and N is the comprehensive energy release efficiency of the energy storage equipment. is the comprehensive power generation compensation factor of the power generation source set in the database, k S is the comprehensive power load demand compensation factor set in the database, k M is the comprehensive energy storage efficiency compensation factor of the energy storage equipment set in the database, k N It is the comprehensive energy release efficiency compensation factor of the energy storage equipment set in the database.

[0091] Based on the level-independent balance reference value, the level-independent balance reference assessment range is obtained by comparison.

[0092] The specific analysis process is: store the level-independent balance reference value as a designated label, compare the designated label with the level-independent balance reference assessment range corresponding to each designated label stored in the database, and obtain the level-independent balance reference assessment range corresponding to the designated label.

[0093] Using the hierarchical independent balance reference assessment range as the comparison standard can provide consistency and comparability for the assessment, standardize the assessment process, and make the comparison between regions more fair and consistent. Comparing the actual performance of each region with the reference assessment value can more accurately determine which regions perform well in energy management and load balancing and which regions need improvement, which helps to optimize resource allocation and adjust management strategies, and improve overall system efficiency.

[0094] The current source-load-storage status of each level of industrial towns is analyzed to obtain the current source-load-storage characteristic values ​​of each level.

[0095] Obtain the current source-load-storage status data set of the hierarchy, including the installed capacity of the power generation source, the actual power generation of the power generation source, the real-time load demand, the total capacity of the energy storage equipment, and the current storage capacity of the energy storage equipment; based on the obtained current source-load-storage status data set of the hierarchy, a comprehensive analysis is performed to obtain the current source-load-storage status assessment value of the hierarchy, and the current source-load-storage status assessment value of the hierarchy is used as the analysis basis for judging whether initial regulation is needed at each level of the industrial township.

[0096] The installed capacity of a power source refers to the maximum continuous output power that a power station or power generation equipment can achieve in design, usually in kilowatts (kW) or megawatts (MW). This is the technical specification data provided by the manufacturer of the power generation equipment and can usually be found in the technical documents or nameplate of the equipment; the actual power generation of a power source refers to the total amount of electrical energy actually generated by the power generation equipment in a specific time, usually measured in kilowatt-hours (kWh) or megawatt-hours (MWh), and is monitored and recorded in real time by the meter installed in the power station or the energy management system; the real-time load demand refers to the power demand of the power grid or a specific area at a specific time, that is, the amount of electricity that needs to be supplied immediately, which is recorded in real time by the load monitoring system of the power grid or the smart meter, which can provide accurate real-time data and is crucial for balancing supply and demand and avoiding overload; the total capacity of the energy storage device refers to the maximum energy that the energy storage device (such as batteries, pumped storage, etc.) can store in design, usually in kilowatt-hours, provided by the manufacturer of the energy storage device, and usually stated in the equipment specification or technical description; the current storage capacity of the energy storage device refers to the actual amount of electrical energy stored in the energy storage device, which is recorded in real time by the energy storage management system (Battery Management System). System, BMS) or related monitoring system for real-time monitoring.

[0097] Installed capacity refers to the maximum power that the power generation equipment can continuously output, while actual power generation refers to the actual amount of electrical energy generated by the equipment within a specific period of time. The actual power generation needs to match the real-time load demand. Grid operators must ensure that the power supply at least meets the load demand to maintain the stability of the grid. If the power generation is lower than the load demand, it will lead to insufficient power supply and even power outages. The total capacity of the energy storage device represents the maximum amount of electrical energy that the energy storage system can store, and the current storage capacity represents the amount of electricity actually stored in the energy storage system at any given point in time.

[0098] By understanding the installed capacity of the power generation source, actual power generation, real-time load demand, total capacity of energy storage equipment and current storage capacity, the energy demand and supply balance of industrial towns can be accurately assessed. Analyzing source-load-storage data can help identify deficiencies in energy resource allocation, allowing decision makers to optimize energy generation, storage and consumption, which helps to improve energy efficiency and reduce additional costs caused by resource waste. Data monitoring and evaluation can identify the system's energy efficiency bottlenecks and potential energy-saving points. Accurate source-load-storage data analysis can help predict and prepare for peak electricity demand, avoid power outages and overloads, and provide a data-supported decision-making basis, allowing managers to formulate policies and adjust strategies based on objective data, rather than relying solely on empirical judgment.

[0099] The method of obtaining the characteristic value of the current source-load-storage state of the layer:

[0100] ;

[0101] In the formula, β is the characteristic value of the current source-load-storage state of the level, zj is the installed capacity of the power source, fd is the actual power generation of the power source, fh is the real-time load demand, zrl is the total capacity of the energy storage device, ccr is the current storage capacity of the energy storage device, It is the compensation factor of the current source-load-storage status evaluation value of the layer.

[0102] β provides a comprehensive understanding of the operating status of the power system, helps monitor and manage the performance of the entire system, understands the relationship between power generation and load demand and the real-time status of energy storage, and helps optimize the scheduling of power generation and energy storage. For example, energy storage can be used to balance loads during peak hours, optimize the use of power generation and energy storage, reduce energy waste, and improve the energy efficiency of the system. By monitoring power generation and energy storage in real time, renewable energy can be better integrated and utilized. Real-time and accurate system evaluation can predict potential system risks and take measures in advance to avoid failures or interruptions.

[0103] Obtain the ideal source-load-storage state demonstration stored in the database; obtain the current source-load-storage state fluctuation set of each level based on the current source-load-storage state of each level in industrial towns and the ideal source-load-storage state demonstration; obtain the current source-load-storage state fluctuation value of each level based on the current source-load-storage state fluctuation set of each level; obtain the corrected judgment result of the current source-load-storage state of each level based on the current source-load-storage state fluctuation value of each level.

[0104] The specific analysis process is: obtain the ideal source-load-storage state demonstration stored in the database, and based on the ideal source-load-storage state demonstration, obtain the current source-load-storage state standard set of the hierarchy, including the standard installed capacity of the power generation source, the standard power generation of the power generation source, the standard load demand, the standard capacity of the energy storage equipment, and the standard storage capacity of the energy storage equipment.

[0105] Based on the current source, load and storage status of any level of the industrial township, the current source, load and storage status data set of the level is obtained, including the installed capacity of the power generation source, the actual power generation of the power generation source, the real-time load demand, the total capacity of the energy storage equipment, and the current storage capacity of the energy storage equipment; the current source, load and storage status data set of the level corresponding to the industrial township level and the standard set of the current source, load and storage status of the level are compared to obtain the current source, load and storage status fluctuation set of the level.

[0106] The current source-load-storage status fluctuation set of the level includes the fluctuating installed capacity of the power generation source, the fluctuating power generation of the power generation source, the fluctuating load demand, the fluctuating capacity of the energy storage equipment, and the fluctuating storage capacity of the energy storage equipment. Among them, the fluctuating installed capacity of the power generation source refers to the absolute value of the difference between the installed capacity of the power generation source and the standard installed capacity of the power generation source, the fluctuating power generation of the power generation source refers to the absolute value of the difference between the actual power generation of the power generation source and the standard power generation of the power generation source, the fluctuating load demand refers to the absolute value of the difference between the real-time load demand and the standard load demand, the fluctuating capacity of the energy storage equipment refers to the absolute value of the difference between the standard capacity of the energy storage equipment and the total capacity of the energy storage equipment, and the fluctuating storage capacity of the energy storage equipment refers to the absolute value of the difference between the current storage capacity of the energy storage equipment and the standard storage capacity of the energy storage equipment.

[0107] The current source-load-storage state fluctuation value of the layer is obtained based on the current source-load-storage state fluctuation set of the layer.

[0108] The calculation formula of the current source-load-storage state fluctuation value of the layer is:

[0109] ;

[0110] In the formula, Bb is the current source-load-storage state fluctuation value of the level, Bz is the fluctuating installed capacity of the power generation source, Bd is the fluctuating power generation of the power generation source, Bh is the fluctuating load demand, Br is the fluctuating capacity of the energy storage device, and Bc is the fluctuating storage capacity of the energy storage device.

[0111] Obtain the source-load-storage state fluctuation value limit stored in the database; compare the current source-load-storage state fluctuation value of the level with the source-load-storage state fluctuation value limit stored in the database to obtain the correction judgment result of the current source-load-storage state of the level: if the current source-load-storage state fluctuation value of the level is greater than the source-load-storage state fluctuation value limit stored in the database, then the correction judgment result of the current source-load-storage state of the level is a non-correction state, and a fluctuation warning is sent to the industrial township areas covered by the level and fault troubleshooting is performed; if the current source-load-storage state fluctuation value of the level is less than or equal to the source-load-storage state fluctuation value limit stored in the database, then the correction judgment result of the current source-load-storage state of the level is a correction state.

[0112] Bb is used to quantitatively describe the comprehensive gap between the current source-load-storage state of the layer and the source-load-storage ideal state demonstration stored in the database. It more comprehensively considers the extreme situation that the current source-load-storage state evaluation result is relatively excellent but deviates from the standard due to the excellence of individual parameters in actual work. By obtaining the current source-load-storage state fluctuation value of the layer, the manager can monitor the operation status in real time, and take into account the stability of the overall source-load-storage operation while evaluating the balance optimization limit. Once the current source-load-storage state fluctuation value of the layer exceeds the set limit, that is, it does not meet the actual work requirements, a fluctuation warning is sent immediately, which can quickly start fault troubleshooting, reduce the impact of faults on power supply, and improve fault response efficiency.

[0113] Combined with the correction judgment results of the current source-load-storage status of each level, the current source-load-storage characteristic values ​​of each level are corrected and compared with the level-by-level independent balance reference assessment range corresponding to each level to determine whether initial regulation is needed at each level of industrial towns and villages, and compare the initial regulation plans corresponding to the levels that need to be regulated.

[0114] The specific analysis process is: obtaining the current source-load-storage state correction judgment result of the layer as the current source-load-storage state fluctuation value of the layer corresponding to the correction state; matching the current source-load-storage state correction ratio of the layer stored in the database based on the current source-load-storage state fluctuation value of the layer.

[0115] The specific process is: store the current source-load-storage state fluctuation value of the layer as a specified label, compare the specified label with the current source-load-storage state correction ratio of the layer corresponding to each specified label stored in the database, and obtain the current source-load-storage state correction ratio of the layer corresponding to the specified label.

[0116] Based on the current source-load-storage state characteristic value of the hierarchy and the current source-load-storage state correction ratio of the hierarchy, the corrected source-load-storage state characteristic value of the hierarchy is obtained, and the corrected source-load-storage state characteristic value of the hierarchy is the product of the current source-load-storage state characteristic value of the hierarchy and the current source-load-storage state correction ratio of the hierarchy; the corrected source-load-storage state characteristic value of the hierarchy is compared with the independent balance reference assessment range of the hierarchy; if the corrected source-load-storage state characteristic value of the hierarchy falls within the independent balance reference assessment range of the hierarchy, then the industrial township hierarchy corresponding to the corrected source-load-storage state characteristic value of the hierarchy does not need to be initially regulated; if the corrected source-load-storage state characteristic value of the hierarchy does not belong to the independent balance reference assessment range of the hierarchy, then the industrial township hierarchy corresponding to the corrected source-load-storage state characteristic value of the hierarchy needs to be initially regulated, and the corrected source-load-storage state characteristic value of the hierarchy is compared with the initial regulation scheme corresponding to the current source-load-storage state assessment values ​​of each hierarchy stored in the database to obtain the initial regulation scheme corresponding to the corrected source-load-storage state characteristic value of the hierarchy.

[0117] Obtaining the corrected source-load-storage state characteristic value of the level based on the current source-load-storage state characteristic value of the level and the correction ratio of the current source-load-storage state of the level helps to quantify the stability of the source-load-storage state of the level and the impact of the relevant standard deviation on the current source-load-storage state assessment of the level, ensuring that resources are invested in the most needed places and avoiding resource waste. For levels that have not reached the level independent balance reference assessment range, implementing the initial control plan can help improve energy utilization efficiency, reduce energy waste, and thus reduce costs. By maintaining each level within the level independent balance reference assessment range, it can ensure that the power and energy system of the entire industrial township is more stable and reliable, which helps to discover problems in a timely manner and make necessary adjustments, thereby continuously improving energy management and maintaining system performance, comparing actual data with reference standards, and the decision-making process relies more on empirical data, which enhances the objectivity and effectiveness of decision-making.

[0118] like Figure 2 As shown, the application results of the initial control scheme are analyzed to determine whether the initial control scheme needs to be optimized, and the optimization judgment result is obtained.

[0119] The specific analysis process is as follows: obtaining an initial control scheme application result data set, obtaining an application result state characteristic value based on the obtained initial control scheme application result data, and using the application result state characteristic value as an analysis basis for determining whether the initial control scheme needs to be optimized; based on the initial control scheme application result data set, comparing the application result state characteristic value with the application result state reference characteristic value to obtain an optimization judgment result, and the optimization judgment result includes to be optimized and not to be optimized; if the application result state characteristic value is lower than the application result state reference characteristic value, the optimization judgment result is to be optimized; if the application result state characteristic value is not lower than the application result state reference characteristic value, the optimization judgment result is not to be optimized.

[0120] Continuous monitoring and comparison of the application result status characteristic values ​​can effectively determine whether the actual performance of the initial control plan has achieved the expected goals. If not, optimizing the control can improve the effectiveness and success rate of the plan, allow re-evaluation and improvement, and ensure that the control strategy always adapts to the current operating conditions and needs, which helps to achieve long-term system stability and efficiency. Based on accurate data analysis, resources can be allocated more reasonably, and investment and efforts can be concentrated on areas that really need to be optimized to avoid waste of resources. By ensuring the efficient implementation of the control plan, operating costs can be reduced, energy efficiency can be improved, and the economic benefits of the entire industrial township can be enhanced.

[0121] The data set of the application results of the initial control plan includes the reduction in energy loss, the matching rate between load and reference load, and the operating efficiency of energy equipment.

[0122] Energy loss reduction refers to the actual reduction in energy consumption through improved technology, optimized operations or implementation of energy-saving measures, usually expressed as the amount of energy saved, such as reduced electricity, fuel or heat, measured and recorded by smart meters or energy management systems.

[0123] The load-reference load matching rate describes the degree of matching between the actual load and the preset or ideal load model. The ideal load model is set according to the expected energy demand distribution. A high matching rate means that the actual energy use is very close to the expected one, indicating that the energy utilization is efficient and balanced. It is obtained using load monitoring systems such as smart meters and advanced power monitoring systems. Use smart meters or data acquisition devices to record the actual load value of the corresponding time period, compare the actual load value of the corresponding time period with the load range set for the corresponding time period, check whether the actual load exceeds this benchmark range, count the number of time periods that exceed the benchmark range, and compare the number of time periods that do not exceed the benchmark range with the total number of time periods to obtain the load-reference load matching rate.

[0124] Energy equipment operating efficiency measures the efficiency of equipment in converting input energy (such as fuel, electricity) into useful output (such as electricity, mechanical work, heat). High operating efficiency means lower energy loss and higher production results. PLC systems and SCADA systems are used to monitor the energy consumption and output of equipment and calculate efficiency.

[0125] When the operating efficiency of energy equipment is improved, these devices need to consume less energy to produce the same or more output (such as electricity or heat), which directly leads to a reduction in energy loss. A more efficient generator can produce more electricity while consuming less fuel. The load-to-reference load matching rate describes the degree of match between the actual distribution of system loads and the ideal or planned load distribution. When the load matches the reference load more closely, it means that the demand and supply of the power system are more balanced, which can improve the operating efficiency of energy equipment. When equipment operates at the optimal load, it is usually most efficient and has the lowest energy loss. When the system can better match the actual load with the reference load, the energy management of the entire system is more efficient, which reduces unnecessary energy waste and avoids overproduction of energy during low-demand periods, which can reduce overall energy losses.

[0126] Specifically, the method for obtaining the characteristic value of the application result status is as follows:

[0127] ;

[0128] In the formula, is the characteristic value of the application result state, C is the reduction of energy loss, the unit is 10,000 kilowatts, Q is the matching rate of load and reference load, the unit is percentage, and F is the operating efficiency of energy equipment, the unit is percentage.

[0129] Table 1 Data table of application result state characteristic values ​​changing with energy loss reduction and load-reference load matching ratio

[0130]

[0131] It can be seen from the data in Table 1 that as the amount of energy loss reduction increases, the characteristic value of the application result state is also gradually increasing, which means that the control scheme will have a better effect as the amount of energy loss reduction increases.

[0132] like Figure 3 As shown in the figure, when the operating efficiency of the energy equipment remains unchanged at 0.8, as the load-reference load matching rate increases from 0 to 1 and the energy loss reduction increases from 0 to 1, the application result state characteristic value also gradually increases, which indicates that higher energy utilization efficiency and load matching can significantly improve the energy application effect.

[0133] The application result state characteristic value is calculated through the energy loss reduction, load and reference load matching rate, and energy equipment operating efficiency, providing a comprehensive perspective for evaluating the overall performance of the energy system, including energy saving effect, system balance and equipment efficiency. The energy loss reduction directly reflects the energy saving effect, the load and reference load matching rate shows the system's ability to respond to market and operational requirements, and the energy equipment operating efficiency indicates the performance status of major equipment. Comprehensive analysis helps to promote sustainable energy solutions, such as reducing energy consumption by improving equipment efficiency and better utilizing renewable energy by fine-tuning load matching. Good equipment efficiency and load management help reduce the risk of equipment failure and system interruption, and enhance the stability and reliability of the entire power system.

[0134] Based on the initial control scheme application result data set, the application result state characteristic value is compared with the application result state reference characteristic value to obtain the optimization judgment result. The specific analysis process is: obtaining the energy equipment operation efficiency in the initial control scheme application result data set; obtaining the energy equipment operation threshold stored in the database; comparing whether the energy equipment operation efficiency is greater than or equal to the energy equipment operation threshold:

[0135] If not, then send equipment warnings to the industrial township areas covered by the level and replace inefficient equipment, then reapply the initial control plan to obtain the application result state characteristic value; if so, then compare the application result state characteristic value with the application result state reference characteristic value to obtain the optimization judgment result; if the optimization judgment result is to be optimized, then the industrial township level corresponding to the application result state characteristic value needs to be optimized and controlled and match the solution optimization measures stored in the database; if the optimization judgment result is not to be optimized, then the industrial township level corresponding to the application result state characteristic value does not need to be optimized and controlled.

[0136] Two judgments are made to obtain the optimization results. The first judgment determines whether the detection equipment is inefficient. If the equipment operating efficiency is lower than the energy equipment operating threshold, a warning is issued in time and the equipment is replaced, which can quickly solve the direct problem and prevent inefficient equipment from affecting the overall operation. The second judgment is to analyze the application result state characteristic value again after ensuring that the equipment is in a qualified state, which can deeply understand the actual operating performance of the equipment and identify further optimization space through a clear judgment process.

[0137] By comparing actual application results with expected or historical best practices, the deficiencies of current control strategies can be accurately identified. Fast feedback loops enable the system to quickly adapt to changing operating conditions or emergencies, thereby maintaining operational stability and efficiency. Optimizing control schemes usually aims to reduce energy waste and improve energy efficiency. Implementing a control strategy that is more suitable for the current operating status can significantly reduce energy consumption and related costs. Data-based decision-making models increase the objectivity and accuracy of decisions, which can significantly reduce decisions based on experience or intuition, making management more scientific and systematic.

Claims

1. A method for optimizing the balance between source, load and storage in industrial towns and villages, characterized in that: The following steps are involved: Analyze the historical status of sources, loads and storage in each area of ​​industrial towns, divide each area of ​​industrial towns into different levels, and obtain the hierarchical division results of each area of ​​industrial towns; The process of classifying the various areas of industrial towns is as follows: Obtain the historical state data set of source, load and storage, including the historical power generation of the power source, the historical power load demand, the historical energy storage efficiency of the energy storage equipment, and the historical energy release efficiency of the energy storage equipment; Based on the acquired source-load-storage historical state data set, the source-load-storage historical state characteristic values ​​are obtained through comprehensive analysis. The source-load-storage historical state characteristic values ​​are used as the analysis basis for the hierarchical division of various areas in industrial towns. Compare the source-load-storage historical state characteristic value with the source-load-storage historical state characteristic range corresponding to each level stored in the database; If the source-load-storage historical state characteristic value falls into the source-load-storage historical state characteristic range corresponding to a certain level, then the level corresponding to the industrial township area corresponding to the source-load-storage historical state characteristic value is the level corresponding to the source-load-storage historical state characteristic range; The formula for obtaining the historical state characteristic value of source-load-storage is: ； Wherein, α is the historical state characteristic value of source-load-storage, p is the historical power generation of the power source, s is the historical power load demand, m is the historical energy storage efficiency of the energy storage device, n is the historical energy release efficiency of the energy storage device, k1 is the historical power generation compensation factor of the power source set in the database, k2 is the historical power load demand compensation factor set in the database, k3 is the historical energy storage efficiency compensation factor of the energy storage device set in the database, k4 is the historical energy release efficiency compensation factor of the energy storage device set in the database, and e is a natural constant; Based on the historical status of sources, loads and storage in each area of ​​industrial towns and the hierarchical division results, hierarchical regional statistics are performed to obtain a comprehensive set of historical status of sources, loads and storage corresponding to each hierarchical division result of industrial towns, and based on the comprehensive set of historical status of sources, loads and storage, a hierarchical independent balance reference value is obtained; The specific analysis process of obtaining the layer-independent balance reference value based on the comprehensive set of historical source-load-storage states is as follows: Obtain the historical power generation of power generation sources in each area of ​​industrial townships; Obtaining historical power generation standards of power generation sources stored in a database; Compare the historical power generation of power sources in each area of ​​the industrial township with the historical power generation standards of power sources stored in the database: If the historical power generation of the power source in any area of ​​an industrial township is greater than or equal to the historical power generation standard of the power source stored in the database, the industrial township area will be marked as an industrial township candidate area; If the historical power generation of the power source in any area of ​​an industrial township is less than the historical power generation standard of the power source stored in the database, the industrial township area will not be marked as an industrial township candidate area; Based on the stratified division results, the historical status of the source, load and storage of the industrial township candidate areas corresponding to each stratified division result is counted. Any stratified division result corresponds to several industrial township candidate areas. Based on the historical source-load-storage status of several industrial township candidate areas corresponding to any hierarchical division result, a comprehensive set of historical source-load-storage status is obtained, including the comprehensive power generation of power sources, the comprehensive power load demand, the comprehensive energy storage efficiency of energy storage equipment, and the comprehensive energy release efficiency of energy storage equipment; Obtaining layer-independent balance reference values ​​based on a comprehensive set of historical source-load-storage status; The calculation formula of the level independent balance reference value is: ； In the formula, A is the reference value of the independent balance of the level, P is the comprehensive power generation of the power source, S is the comprehensive power load demand, M is the comprehensive energy storage efficiency of the energy storage equipment, and N is the comprehensive energy release efficiency of the energy storage equipment. is the comprehensive power generation compensation factor of the power generation source set in the database, k S is the comprehensive power load demand compensation factor set in the database, k M is the comprehensive energy storage efficiency compensation factor of the energy storage equipment set in the database, k N The comprehensive energy release efficiency compensation factor of the energy storage device set in the database; Based on the level-independent balance reference value, the level-independent balance reference assessment range is obtained by comparison; Analyze the current source-load-storage status of each level of industrial towns and obtain the current source-load-storage characteristic values ​​of each level; Obtain the source-load-storage ideal state demonstration stored in the database, obtain the current source-load-storage state fluctuation set of each level based on the current source-load-storage state of each level of the industrial township and the source-load-storage ideal state demonstration, obtain the current source-load-storage state fluctuation value of each level based on the current source-load-storage state fluctuation set of each level, and obtain the current source-load-storage state correction judgment result of each level based on the current source-load-storage state fluctuation value of each level; Combined with the correction judgment results of the current source-load-storage status of each level, the current source-load-storage characteristic values ​​of each level are corrected and compared with the level-by-level independent balance reference assessment range corresponding to each level, to determine whether each level of industrial townships needs initial regulation, and compare the initial regulation plan corresponding to the level that needs regulation; Analyze the application results of the initial control plan, determine whether the initial control plan needs to be optimized, and obtain the optimization judgment results.

2. The method for optimizing the balance of source-load-storage stratification in industrial towns according to claim 1, characterized in that: The specific analysis process of obtaining the correction judgment result of the current source-load-storage state of each level based on the current source-load-storage state fluctuation value of each level is as follows: Obtain the source-load-storage ideal state demonstration stored in the database, and obtain the current source-load-storage state standard set of the hierarchy based on the source-load-storage ideal state demonstration, including the standard installed capacity of the power generation source, the standard power generation of the power generation source, the standard load demand, the standard capacity of the energy storage device, and the standard storage capacity of the energy storage device; Based on the current source-load-storage status of any level of industrial townships, obtain the current source-load-storage status data set of the level, including the installed capacity of the power generation source, the actual power generation of the power generation source, the real-time load demand, the total capacity of the energy storage equipment, and the current storage capacity of the energy storage equipment; Compare the current source-load-storage state data set corresponding to the industrial township level and the current source-load-storage state standard set to obtain the current source-load-storage state fluctuation set, including the fluctuating installed capacity of the power generation source, the fluctuating power generation of the power generation source, the fluctuating load demand, the fluctuating capacity of the energy storage equipment, and the fluctuating storage capacity of the energy storage equipment; Obtain the current source-load-storage state fluctuation value of the layer based on the current source-load-storage state fluctuation set of the layer; Obtain the source load storage state fluctuation value limit stored in the database; Compare the current source-load-storage state fluctuation value of the level with the source-load-storage state fluctuation value limit stored in the database to obtain the correction judgment result of the current source-load-storage state of the level: If the current source-load-storage state fluctuation value of the level is greater than the source-load-storage state fluctuation value limit stored in the database, the correction judgment result of the current source-load-storage state of the level is a non-correction state, and a fluctuation warning is sent to the industrial township area covered by the level and fault troubleshooting is carried out; If the current source-load-storage state fluctuation value of the level is less than or equal to the source-load-storage state fluctuation value limit stored in the database, the correction judgment result of the current source-load-storage state of the level is the correction state.

3. The method for optimizing the balance of source-load-storage stratification in industrial towns according to claim 1, characterized in that: The specific analysis process of comparing the initial control scheme corresponding to the level that needs to be regulated is as follows: The correction judgment result of the current source-load-storage state of the layer is obtained, and the current source-load-storage state fluctuation value of the layer corresponding to the correction state is obtained; Based on the fluctuation value of the current source-load-storage state of the level, the correction ratio of the current source-load-storage state of the level stored in the database is matched; Based on the current source-load-storage state characteristic value of the level and the current source-load-storage state correction ratio of the level, the corrected source-load-storage state characteristic value of the level is obtained, and the corrected source-load-storage state characteristic value of the level is the product of the current source-load-storage state characteristic value of the level and the current source-load-storage state correction ratio of the level; Compare the source-load-storage state characteristic value after level correction with the level independent balance reference assessment range; If the characteristic value of the source-load-storage state after the level correction falls within the level independent balance reference assessment range, then the industrial township level corresponding to the characteristic value of the source-load-storage state after the level correction does not need to be initially regulated; If the corrected source-load-storage state characteristic value of the level does not fall within the level independent balance reference assessment range, the industrial township level corresponding to the corrected source-load-storage state characteristic value of the level needs to be initially regulated, and the corrected source-load-storage state characteristic value of the level is compared with the initial regulation plan corresponding to the current source-load-storage state assessment value of each level stored in the database to obtain the initial regulation plan corresponding to the corrected source-load-storage state characteristic value of the level.

4. The method for optimizing the balance of source-load-storage stratification in industrial towns according to claim 1, characterized in that: The specific analysis process of determining whether the initial control scheme needs to be optimized and obtaining the optimization judgment result is as follows: Acquire an initial control scheme application result data set, and acquire an application result state characteristic value based on the acquired initial control scheme application result data, and use the application result state characteristic value as an analysis basis for determining whether the initial control scheme needs to be optimized; Based on the initial control scheme application result data set, the application result state characteristic value is compared with the application result state reference characteristic value to obtain the optimization judgment result, and the optimization judgment result includes the one to be optimized and the one not to be optimized; If the application result state characteristic value is lower than the application result state reference characteristic value, the optimization judgment result is to be optimized; If the application result state characteristic value is not lower than the application result state reference characteristic value, the optimization judgment result is not to be optimized.

5. The method for optimizing the balance of source-load-storage stratification in industrial towns according to claim 4, characterized in that: The initial control scheme application result data set includes energy loss reduction, load and reference load matching rate, and energy equipment operating efficiency.

6. The method for optimizing the balance of source-load-storage stratification in industrial towns according to claim 5, characterized in that: The method for obtaining the characteristic value of the application result state is as follows: ； In the formula, is the characteristic value of the application result state, C is the reduction of energy loss, Q is the matching rate between load and reference load, F is the operating efficiency of energy equipment, and e is a natural constant.

7. The method for optimizing the balance of source-load-storage stratification in industrial towns according to claim 5, characterized in that: The specific analysis process of comparing the application result state characteristic value with the application result state reference characteristic value to obtain the optimization judgment result is: Obtain the energy equipment operating efficiency in the initial control scheme application result data set; Obtaining energy equipment operation thresholds stored in a database; Compare whether the energy equipment operating efficiency is greater than or equal to the energy equipment operating threshold: If not, send equipment warnings to the industrial township areas covered by the hierarchy and replace inefficient equipment, then reapply the initial control plan to obtain the application result state characteristic value; If so, compare the application result state feature value with the application result state reference feature value to obtain the optimization judgment result; If the optimization judgment result is to be optimized, the industrial township level corresponding to the application result status characteristic value needs to be optimized and regulated and matched with the solution optimization measures stored in the database; If the optimization judgment result is not to be optimized, the industrial township level corresponding to the application result status characteristic value does not need to be optimized and regulated.

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