Optimized aggregation regulation and control method and system capable of adjusting load resources

Abstract

The invention relates to the technical field of resource optimization aggregation regulation and control, and particularly discloses an optimization aggregation regulation and control method and system capable of adjusting load resources, and the method comprises the steps: analyzing the environment state of a to-be-adjusted region, determining a resource aggregation regulation and control deviation factor, analyzing the power grid state and power grid weakness characteristics of the to-be-adjusted region, and determining a resource aggregation regulation and control deviation factor; and obtaining a resource aggregation regulation response factor, determining a resource aggregation regulation response priority category and a response duration category of the to-be-regulated region, obtaining regulation scale data of the to-be-regulated region, and judging whether load peak shifting and load power correction need to be performed on the to-be-regulated region or not. The problems that a traditional centralized regulation and control mode is difficult to adapt to the flexibility and complexity of distributed loads, and an existing regulation and control method is insufficient in consideration of load characteristics and influence characteristics and cannot achieve accurate regulation are solved. The utilization rate of power generation equipment is increased, and efficient utilization of energy is promoted. And new energy power generation fluctuation can be smoothed, and the access proportion of renewable energy sources can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of resource optimization aggregation control, and in particular to an optimization aggregation control method and system for adjustable load resources. Background Art

[0002] With the advancement of global energy transformation, the proportion of renewable energy such as wind power and solar energy continues to increase, but its intermittent and volatile nature has put forward higher requirements on the stability of the power system. Energy storage equipment and flexible load control are regarded as key means to improve the capacity of renewable energy consumption and achieve energy structure adjustment. With the development of society, electricity loads are becoming more and more diversified, and the load demand in different periods and regions varies significantly, and the imbalance between supply and demand has intensified. By optimizing the aggregation control method, efficient coordination of load resources can be achieved, the adaptability of the power grid to the fluctuation of new energy can be enhanced, and the overall operational flexibility can be improved. In-depth mining of adjustable load resources can improve the utilization rate of power generation equipment, reduce the demand for spare capacity, and promote efficient use of energy. Peak shaving and valley filling through load control can help smooth the fluctuation of new energy power generation and increase the access ratio of renewable energy.

[0003] Nowadays, there are still some shortcomings in the research on the optimal aggregation control of adjustable load resources. Specifically, the traditional centralized control mode is difficult to adapt to the flexibility and complexity of distributed loads, and the existing control methods do not adequately consider the load characteristics and influencing features, and cannot achieve precise control. Reduced control efficiency may lead to increased frequency fluctuations and decreased grid stability. Inaccurate regulation may lead to local overload or frequency deviation expansion in grid operation, increasing the risk of power outages. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides an optimization aggregation control method and system for adjustable load resources, which can effectively solve the problems involved in the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: In the first aspect, the present invention provides an optimization aggregation and control method for adjustable load resources, comprising the following steps: analyzing the environmental state of the area to be regulated and determining the resource aggregation and control deviation factor; analyzing the power grid state of the area to be regulated and obtaining the characteristic signal of the power grid state of the area to be regulated; analyzing the weakness characteristics of the power grid in the area to be regulated, and combining the characteristic signal of the power grid state of the area to be regulated and the resource aggregation and control deviation factor to obtain the resource aggregation and control response factor; based on the resource aggregation and control response factor, determining the resource aggregation and control response priority category and response time category of the area to be regulated; obtaining the control scale data of the area to be regulated, and combining the resource aggregation and control response factor to determine whether it is necessary to perform load peak shifting and load power correction in the area to be regulated.

[0006] As a further method, the resource aggregation control deviation factor is determined, and the specific analysis process is: obtaining the environmental status data of the area to be adjusted, the environmental status data of the area to be adjusted specifically includes the environmental temperature deviation rate, the environmental humidity deviation rate, and the environmental wind speed; based on the obtained environmental status data of the area to be adjusted, a comprehensive analysis is performed to obtain the environmental characteristic factor of the area to be adjusted, and the environmental characteristic factor of the area to be adjusted is used as an analysis basis for determining the resource aggregation control deviation factor; the environmental characteristic factor of the area to be adjusted is stored as a specified label, and the specified label is compared with each set label stored in the database to obtain the set label corresponding to the specified label, and the resource aggregation control deviation factor corresponding to the set label is obtained.

[0007] As a further method, a characteristic signal of the power grid state in the area to be regulated is obtained, and the specific analysis process is: obtaining the power grid state data of the area to be regulated, the power grid state data of the area to be regulated specifically includes the load rate of the power grid transmission lines, the power grid frequency deviation rate, the power grid voltage deviation rate, and the power grid load fluctuation rate; based on the obtained power grid state data of the area to be regulated, a comprehensive analysis is performed to obtain the characteristic signal of the power grid state in the area to be regulated, and the characteristic signal of the power grid state in the area to be regulated is used as an analysis basis for determining the response priority category and response time category of resource aggregation control in the area to be regulated.

[0008] As a further method, the weakness characteristics of the power grid in the to-be-regulated area are analyzed, and the resource aggregation regulation response factor is obtained by combining the characteristic signal of the power grid state in the to-be-regulated area and the resource aggregation regulation deviation factor. The specific analysis process is: obtaining the characteristic data of the weakness of the power grid in the to-be-regulated area, which specifically includes the resistance of the power grid transmission network, the penetration rate of new energy in the power grid, and the transmission delay of the power grid communication network; based on the obtained characteristic data of the weakness of the power grid in the to-be-regulated area, combined with the characteristic signal of the power grid state in the to-be-regulated area and the resource aggregation regulation deviation factor, the resource aggregation regulation response factor is obtained, and the resource aggregation regulation response factor is used as an analysis basis for determining the response priority category and response time category of the resource aggregation regulation in the to-be-regulated area.

[0009] As a further method, resource aggregation regulates the response factor. The specific analysis process is as follows:

[0010]

[0011] Where β is the resource aggregation regulation response factor, α is the characteristic signal of the regional power grid state to be regulated, γ0 is the resource aggregation regulation deviation factor, zk is the power grid transmission network resistance, xns is the power grid new energy penetration rate, sy is the power grid communication network transmission delay, τ1 is the compensation factor of the set zk, τ2 is the compensation factor of the set xns, τ3 is the compensation factor of the set sy, and e is a natural constant.

[0012] As a further method, the resource aggregation regulation response priority category and response duration category of the area to be adjusted are determined, and the specific analysis process is: compare the resource aggregation regulation response factor with the resource aggregation regulation response threshold stored in the database; if the resource aggregation regulation response factor is not lower than the resource aggregation regulation response threshold, then the resource aggregation regulation response priority category of the area to be adjusted corresponding to the resource aggregation regulation response factor is high priority, and the resource aggregation regulation response duration category of the area to be adjusted corresponding to the resource aggregation regulation response factor is second-level response; if the resource aggregation regulation response factor is lower than the resource aggregation regulation response threshold, then the resource aggregation regulation response priority category of the area to be adjusted corresponding to the resource aggregation regulation response factor is low priority, and the resource aggregation regulation response duration category of the area to be adjusted corresponding to the resource aggregation regulation response factor is minute-level response.

[0013] As a further method, the control scale data of the area to be adjusted specifically includes the adjustable load ratio of the area to be adjusted, the remaining available energy storage capacity of the area to be adjusted, and the discharge efficiency of the energy storage equipment in the area to be adjusted.

[0014] As a further method, it is determined whether it is necessary to perform load peak shifting and load power correction on the area to be regulated. The specific analysis process is: based on the regulation scale data of the area to be regulated and combined with the resource aggregation regulation response factor, a comprehensive analysis is performed to obtain the regulation scale response determination factor of the area to be regulated, and the regulation scale response determination factor of the area to be regulated is used as an analysis basis for determining whether it is necessary to perform load peak shifting and load power correction on the area to be regulated; the regulation scale response determination factor of the area to be regulated is compared with the regulation scale response determination threshold of the area to be regulated stored in the database; if the regulation scale response determination factor of the area to be regulated is not lower than the regulation scale response determination threshold of the area to be regulated, then the area to be regulated corresponding to the regulation scale response determination factor of the area to be regulated does not need to perform load peak shifting and load power correction; if the regulation scale response determination factor of the area to be regulated is lower than the regulation scale response determination threshold of the area to be regulated, then the area to be regulated corresponding to the regulation scale response determination factor of the area to be regulated needs to perform load peak shifting and load power correction.

[0015] As a further method, the specific analysis process of the response determination factor of the regional regulation scale to be adjusted is as follows:

[0016]

[0017] Wherein, δ is the response determination factor of the regulation scale in the area to be regulated, β is the resource aggregation regulation response factor, kf is the adjustable load ratio in the area to be regulated, kc is the remaining available energy storage capacity in the area to be regulated, fd is the discharge efficiency of the energy storage equipment in the area to be regulated, ε1 is the compensation factor of the set kf, ε2 is the compensation factor of the set kc, and ε3 is the compensation factor of the set fd.

[0018] The second aspect of the present invention provides an optimized aggregation control system for adjustable load resources, including a control deviation factor determination module, a power grid state characteristic signal acquisition module, a control response factor acquisition module, an aggregated control response determination module and a load peak shift correction judgment module, wherein: the control deviation factor determination module is used to analyze the environmental state of the area to be regulated and determine the resource aggregation control deviation factor; the power grid state characteristic signal acquisition module is used to analyze the power grid state of the area to be regulated and obtain the power grid state characteristic signal of the area to be regulated; the control response factor acquisition module is used to analyze the weakness characteristics of the power grid in the area to be regulated, and obtain the resource aggregation control response factor in combination with the power grid state characteristic signal of the area to be regulated and the resource aggregation control deviation factor; the aggregated control response determination module is used to determine the resource aggregation control response priority category and response time category of the area to be regulated based on the resource aggregation control response factor; the load peak shift correction judgment module is used to obtain the control scale data of the area to be regulated, and determine whether load peak shifting and load power correction are required in the area to be regulated in combination with the resource aggregation control response factor.

[0019] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0020] (1) The present invention provides an optimized aggregation control method and system for adjustable load resources. By introducing resource aggregation control deviation factors and response factors, the control direction and intensity are clarified to ensure accurate resource scheduling. The characteristics, environmental impacts and grid weaknesses of distributed loads are carefully evaluated to enhance the grid's ability to cope with new energy fluctuations and random load distribution. Resources are rationally allocated by priority category and response time to avoid excessive control or delayed response. Load shifting reduces pressure during peak hours, while power correction is used to ensure smooth operation, thereby maximizing the capacity of load resources and grid equipment.

[0021] (2) The present invention obtains the control scale data of the area to be regulated, combines the resource aggregation control response factor, determines whether it is necessary to perform load peak shifting and load power correction on the area to be regulated, obtains the actual load state of the area through the control scale data, and combines the resource aggregation control response factor to make a scientific judgment on the load control demand, avoiding the deviation caused by subjective or empirical judgment. Load peak shifting can alleviate the pressure on lines and transformers during peak hours, reduce the risk of equipment overload, and extend the service life of equipment. Through the analysis of control scale data and response factors, load peak shifting or power correction is performed only when necessary, reducing unnecessary control operations, and rationally allocating control resources according to the control scale and response factor, so that limited control capabilities can be concentrated on tasks with higher priority. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0023] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.

[0024] Figure 2 It is a schematic diagram of system module connection of the present invention.

[0025] Figure 3 A flow chart of the steps for determining whether load peak shifting and load power correction are required for the area to be regulated. DETAILED DESCRIPTION

[0026] 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 only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of 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.

[0027] Reference Figure 1 As shown, the first aspect of the present invention provides an optimization aggregation control method for adjustable load resources, including: analyzing the environmental state of the area to be adjusted, and determining the resource aggregation control deviation factor.

[0028] The specific analysis process is: obtaining the environmental status data of the area to be adjusted, which specifically includes the environmental temperature deviation rate, the environmental humidity deviation rate, and the environmental wind speed; based on the obtained environmental status data of the area to be adjusted, a comprehensive analysis is performed to obtain the environmental characteristic factors of the area to be adjusted, and the environmental characteristic factors of the area to be adjusted are used as the analysis basis for determining the resource aggregation regulation deviation factor; the environmental characteristic factors of the area to be adjusted are stored as designated tags, and the designated tags are compared with the set tags stored in the database to obtain the set tags corresponding to the designated tags, and the resource aggregation regulation deviation factor corresponding to the set tags is obtained.

[0029] The ambient temperature deviation rate refers to the percentage of deviation of the actual ambient temperature in the current area relative to a certain reference temperature (such as the historical average temperature or the set standard temperature), indicating the relative difference between the current temperature conditions and normal conditions. The ambient humidity deviation rate refers to the percentage of deviation of the actual relative humidity in the current area relative to a certain reference humidity, which is used to measure the impact of humidity changes on load demand. The ambient wind speed refers to the air flow speed in the current area, usually measured in meters per second (m / s), indicating the impact of wind on transmission lines, wind farms, etc. The deviation rate is the absolute value of the difference between the actual value and the reference value and the absolute value of the reference value.

[0030] The comprehensive environmental characteristic factor reflects the real environmental status of the area to be adjusted, which helps to adjust the control strategy according to the real-time environmental conditions. By analyzing the ambient temperature deviation rate, humidity deviation rate and wind speed, the multi-dimensional environmental status data is simplified into an environmental characteristic factor, making the decision-making process more intuitive. Comparing the comprehensive environmental characteristic factor with the set label in the database can effectively match the historical environment and the control results, and guide the accurate calculation of the resource aggregation control deviation factor. The corresponding resource aggregation control deviation factor can be quickly obtained through label comparison, without the need to analyze and calculate from scratch each time, which improves the response speed. Using the environmental characteristic factor as the input basis of the control deviation factor can adjust the priority and intensity of resource control according to different environmental conditions.

[0031] The specific analysis process of the regional environmental characteristic factors to be adjusted is as follows:

[0032]

[0033] In the formula, γ is the environmental characteristic factor of the area to be adjusted, wp is the ambient temperature deviation rate, sp is the ambient humidity deviation rate, fs is the ambient wind speed, μ1 is the compensation factor of the set wp, μ2 is the compensation factor of the set sp, μ3 is the compensation factor of the set fs, and e is a natural constant.

[0034] It should be explained that the above-mentioned environmental characteristic factors of the area to be adjusted are calculated through the ambient temperature deviation rate, ambient humidity deviation rate, and ambient wind speed. WP, SP, and FS are normalized, and the impact of temperature, humidity, and wind speed on the power grid and load are comprehensively considered, and simplified into a single characteristic factor for easy analysis and decision-making. The temperature deviation rate directly affects the loads such as cooling and heating, the humidity deviation rate affects the load of dehumidification equipment, and the wind speed affects the wind power output and line heat dissipation, providing a scientific basis for load regulation and power correction. The load change trend is predicted through environmental characteristic factors to guide load peak shifting or load power correction. In addition, the calculation of environmental characteristic factors can be automated, converting environmental data into an important basis for regulation decisions.

[0035] It should be explained that the compensation factors of wp, sp, and fs set above are obtained from the database. According to the historical data, a mapping set of the historically measured ambient temperature deviation rate, ambient humidity deviation rate, ambient wind speed and the compensation factors of wp, sp, and fs is established to obtain the compensation factors of wp, sp, and fs corresponding to the current wp, sp, and fs.

[0036] It should be noted that σ1, σ2, σ3, σ4, τ1, τ2, τ3, ε1, ε2, and ε3 mentioned below are also obtained through a mapping set of historical data and compensation factors established in a database, that is, the corresponding compensation factors are obtained based on the current data.

[0037] The state of the power grid in the area to be regulated is analyzed to obtain a characteristic signal of the state of the power grid in the area to be regulated.

[0038] The specific analysis process is: obtaining the power grid status data of the area to be regulated, which specifically includes the power grid transmission line load rate, power grid frequency deviation rate, power grid voltage deviation rate, and power grid load fluctuation rate; based on the obtained power grid status data of the area to be regulated, a comprehensive analysis is performed to obtain the power grid status characteristic signal of the area to be regulated, and the power grid status characteristic signal of the area to be regulated is used as the analysis basis for determining the response priority category and response time category of resource aggregation control in the area to be regulated.

[0039] The load rate of a power grid transmission line refers to the ratio of the actual load power of the current transmission line to its rated transmission power, usually expressed as a percentage. The grid frequency deviation rate refers to the percentage deviation of the current actual grid frequency from the standard frequency (such as 50Hz or 60Hz), which is used to measure the balance of supply and demand. The grid voltage deviation rate refers to the percentage deviation of the current actual grid voltage from the nominal voltage, which is used to measure the stability of the voltage. The grid load fluctuation rate refers to the percentage of the change in the grid load per unit time relative to the average load, which is used to measure the dynamic change characteristics of the load.

[0040] By monitoring and analyzing the grid status data in real time, we can fully understand the line load, frequency, voltage and load fluctuations, and ensure that the control decisions are based on the actual operation status of the grid, rather than static assumptions. According to the strength of the characteristic signal of the grid status, the areas to be regulated are prioritized, so as to accurately identify the areas that need the most regulation and optimize the response time decision. Comprehensively analyze the grid load, frequency and voltage deviations, discover potential problems in advance, and avoid failures by prioritizing the control of key areas. When the load rate of the power transmission line of the power grid is too high, the control response priority arrangement can quickly reduce the line pressure to prevent overload from causing power outages or equipment damage.

[0041] The specific analysis process of the characteristic signal of the power grid state in the area to be adjusted is as follows:

[0042]

[0043] Wherein, α is the characteristic signal of the power grid state in the area to be adjusted, fzl is the load rate of the power grid transmission line, plp is the power grid frequency deviation rate, yp is the power grid voltage deviation rate, fb is the power grid load fluctuation rate, σ1 is the compensation factor of the set fzl, σ2 is the compensation factor of the set plp, σ3 is the compensation factor of the set yp, and σ4 is the compensation factor of the set fb.

[0044] It should be explained that the above-mentioned grid state characteristic signal of the area to be regulated is calculated by the load rate of the grid transmission line, the grid frequency deviation rate, the grid voltage deviation rate, and the grid load fluctuation rate. Fzl, plp, yp, and fb are normalized, and the key parameters such as grid load, frequency, voltage, and load fluctuation are comprehensively considered to form a comprehensive assessment of the grid operation status. By real-time monitoring of the changes in various parameters, dynamic grid state characteristic signals are generated to timely reflect the grid operation status, monitor the load rate and voltage deviation rate of the transmission line, and timely identify and alleviate the problems of high-load lines and voltage instability. The load rate of the transmission line can identify overloaded lines, the voltage deviation rate and the frequency deviation rate reflect the power quality problems of the grid, and the load fluctuation rate reveals the dynamic characteristics of the load, clarifies the high-risk areas and weak links, and provides targeted support for regulation. The value of the characteristic signal can quantify the degree of deviation of the grid state and provide a quantitative basis for the regulation plan. According to the strength of the state characteristic signal, priority is given to regulating areas with high transmission line load rate and significant frequency or voltage deviation. The degree of deviation of different state characteristic signals determines the degree of call of regulation resources to ensure the economy and effectiveness of resource use.

[0045] The weakness characteristics of the regional power grid to be regulated are analyzed, and the resource aggregation regulation response factor is obtained by combining the characteristic signal of the regional power grid state and the resource aggregation regulation deviation factor.

[0046] The specific analysis process is: obtaining the characteristic data of power grid weakness in the area to be regulated, which specifically includes the resistance of the power grid transmission network, the penetration rate of new energy in the power grid, and the transmission delay of the power grid communication network; based on the obtained characteristic data of power grid weakness in the area to be regulated, combined with the characteristic signal of the power grid state in the area to be regulated and the resource aggregation regulation deviation factor, the resource aggregation regulation response factor is obtained, and the resource aggregation regulation response factor is used as the analysis basis for determining the response priority category and response time category of the resource aggregation regulation in the area to be regulated.

[0047] The impedance of the power grid transmission network refers to the resistance value in the power grid transmission line network. The greater the resistance, the higher the loss during power transmission. The penetration rate of new energy in the power grid refers to the proportion of new energy (such as wind power, photovoltaic power, etc.) in the total power generation of the power grid, usually expressed as a percentage. The transmission delay of the power grid communication network refers to the time required for the control, monitoring or protection information in the power system to be transmitted from the sender to the receiver, usually in milliseconds (ms) or seconds.

[0048] Incorporating weakness factors such as the transmission resistance, new energy penetration rate, and communication delay of the power grid into the analysis can more accurately assess the operation risks of the power grid. By combining weakness characteristics and state characteristic signals, the current power grid regulation needs and potential risks can be dynamically assessed. Not only a single feature is considered, but the weakness, state signal, and deviation factor are integrated through the resource aggregation regulation response factor to ensure the comprehensiveness and accuracy of the decision. Based on the resource aggregation regulation response factor, the response priority category is accurately divided, and the regulation resources are concentrated in high-risk areas or critical tasks. According to the transmission delay of the communication network and the weakness characteristics of the power grid, the response time category is dynamically adjusted to ensure that the regulation can respond in time and avoid unnecessary high-frequency regulation. Areas with higher transmission network resistance are more likely to experience voltage deviation or grid zoning instability. By giving priority to regulating the load or resources in these areas, the risk can be effectively reduced. Through the analysis of weakness characteristics, state signals, and deviation factors, an automated regulation decision-making framework is constructed to reduce human intervention and improve efficiency.

[0049] Furthermore, resource aggregation regulates the response factor, and the specific analysis process is as follows:

[0050]

[0051] Where β is the resource aggregation regulation response factor, γ0 is the resource aggregation regulation deviation factor, zk is the power transmission network resistance, xns is the power grid new energy penetration rate, sy is the power grid communication network transmission delay, τ1 is the compensation factor of the set zk, τ2 is the compensation factor of the set xns, τ3 is the compensation factor of the set sy, and e is a natural constant.

[0052] It should be explained that the above-mentioned resource aggregation control response factor is calculated by combining the power grid transmission network resistance, power grid new energy penetration rate, power grid communication network transmission delay, and the power grid state characteristic signal of the area to be adjusted and the resource aggregation control deviation factor. Zk, xns, and sy are normalized, and the physical characteristics of the power grid (transmission network resistance), operating environment (new energy penetration rate) and real-time control capability (communication network transmission delay) are comprehensively considered to form a complete evaluation of the power grid control capability. Avoid decision-making deviations caused by a single factor to ensure the scientificity and comprehensiveness of the control strategy. According to the real-time power grid state characteristic signals (such as voltage deviation, frequency deviation) and deviation factors, the response factor is dynamically calculated to reflect the urgency of the current control needs, improve the efficiency and accuracy of control, enhance the stability of the power grid, and achieve multi-objective collaborative optimization.

[0053] Based on the resource aggregation regulation response factor, determine the resource aggregation regulation response priority category and response duration category of the area to be regulated.

[0054] The specific analysis process is: compare the resource aggregation regulation response factor with the resource aggregation regulation response threshold stored in the database; if the resource aggregation regulation response factor is not lower than the resource aggregation regulation response threshold, then the resource aggregation regulation response priority category of the area to be adjusted corresponding to the resource aggregation regulation response factor is high priority, and the resource aggregation regulation response duration category of the area to be adjusted corresponding to the resource aggregation regulation response factor is second-level response; if the resource aggregation regulation response factor is lower than the resource aggregation regulation response threshold, then the resource aggregation regulation response priority category of the area to be adjusted corresponding to the resource aggregation regulation response factor is low priority, and the resource aggregation regulation response duration category of the area to be adjusted corresponding to the resource aggregation regulation response factor is minute-level response.

[0055] By comparing the response factor with the preset threshold in real time, high-risk areas (high response factors) are given higher priority, while low-risk areas are reasonably delayed in regulation time. The clear classification of high-priority areas and low-priority areas makes the regulation strategy targeted and ensures that key issues are resolved first. Minute-level response provides enough time for low-priority areas to optimize scheduling. In areas with high new energy penetration (high response factor), rapid response is used to smooth out fluctuations in new energy output, and high-intensity continuous operation of equipment is avoided by reasonably allocating response time.

[0056] like Figure 3 As shown, the control scale data of the area to be regulated is obtained, and combined with the resource aggregation control response factor, it is determined whether load peak shifting and load power correction are required for the area to be regulated.

[0057] Specifically, the control scale data of the area to be adjusted include the adjustable load ratio of the area to be adjusted, the remaining available energy storage capacity of the area to be adjusted, and the discharge efficiency of the energy storage equipment in the area to be adjusted.

[0058] The proportion of adjustable load in the area to be regulated refers to the proportion of the load that can respond to the grid regulation needs through flexible regulation in the area to be regulated, which accounts for the total load of the area, usually expressed as a percentage. The remaining available energy storage capacity in the area to be regulated refers to the capacity of energy storage equipment that has not been used or consumed in the area to be regulated. It indicates the amount of energy storage resources that can be used for grid regulation at the current moment, usually expressed in kilowatt-hours (kWh) or megawatt-hours (MWh). The discharge efficiency of energy storage equipment in the area to be regulated refers to the efficiency of the energy storage equipment in converting stored electrical energy into usable electrical energy during the discharge process, usually expressed as a percentage, reflecting the energy loss of the energy storage system during the discharge process.

[0059] The specific analysis process is as follows: based on the control scale data of the area to be regulated and combined with the resource aggregation control response factor, a comprehensive analysis is performed to obtain the control scale response determination factor of the area to be regulated, and the control scale response determination factor of the area to be regulated is used as an analysis basis for judging whether it is necessary to perform load peak shifting and load power correction on the area to be regulated; the control scale response determination factor of the area to be regulated is compared with the control scale response determination threshold of the area to be regulated stored in the database; if the control scale response determination factor of the area to be regulated is not lower than the control scale response determination threshold of the area to be regulated, then the area to be regulated corresponding to the control scale response determination factor of the area to be regulated does not need to perform load peak shifting and load power correction; if the control scale response determination factor of the area to be regulated is lower than the control scale response determination threshold of the area to be regulated, then the area to be regulated corresponding to the control scale response determination factor of the area to be regulated needs to perform load peak shifting and load power correction.

[0060] The control scale response determination factor comprehensively considers the regional control scale data and resource aggregation control response factor, and fully reflects the actual needs and potential of the area to be regulated. By comparing with the response determination threshold stored in the database, it ensures that the control operation is triggered only when necessary to avoid excessive or insufficient control. If the response determination factor is higher than the threshold, it means that the current load and power conditions in the region are within the controllable range and no additional control is required. When the determination factor is lower than the threshold, the load peak shifting operation is triggered to relieve the peak load pressure and avoid overload of power grid equipment. The control operation is triggered only when the determination factor is lower than the threshold to avoid excessive control and invalid operation. When the determination factor is higher than the threshold, the dependence on standby power generation capacity or fast response energy storage is reduced. Load peak shifting refers to shifting part of the power demand during peak hours to off-peak hours by adjusting the operating time of the power load to reduce the pressure of peak load on the power grid and improve the utilization rate of off-peak load. Specifically, it includes adjusting the power consumption behavior of power users or the operating time of equipment, and optimizing the load time distribution with the help of technical means (such as energy storage system, demand response). Load power correction refers to the dynamic optimization of the frequency, voltage and power balance of the power grid by adjusting the power or operating mode of the load equipment in real time, including reducing or increasing the power operating level of the load equipment and adjusting the working mode of the load equipment according to the real-time needs of the power grid (such as reducing the air-conditioning load and increasing the energy storage discharge power).

[0061] Furthermore, the specific analysis process of the response determination factor of the regional regulation scale to be regulated is as follows:

[0062]

[0063] Wherein, δ is the response determination factor of the control scale of the area to be regulated, kf is the adjustable load ratio of the area to be regulated, kc is the remaining available energy storage capacity of the area to be regulated, fd is the discharge efficiency of the energy storage equipment in the area to be regulated, ε1 is the compensation factor of the set kf, ε2 is the compensation factor of the set kc, and ε3 is the compensation factor of the set fd.

[0064] It should be explained that the above-mentioned control scale response determination factor of the area to be regulated is calculated by combining the adjustable load ratio of the area to be regulated, the remaining available energy storage capacity of the area to be regulated, the discharge efficiency of the energy storage equipment in the area to be regulated, and the resource aggregation control response factor. Kf, kc, and fd are normalized, and the load regulation capability (adjustable load ratio), energy storage resource status (remaining available energy storage capacity), equipment performance (discharge efficiency) and overall control response capability (resource aggregation control response factor) are combined to comprehensively evaluate the control potential. According to the specific resource conditions and control needs of the area to be regulated, the response determination factor is calculated in real time to dynamically reflect the control scale and resource availability. Combined with the load ratio and energy storage capacity data, it is scientifically judged whether the region needs to take load peak shifting or power correction measures to ensure the quality of power supply.

[0065] Reference Figure 2 As shown, the second aspect of the present invention provides an optimized aggregation control system for adjustable load resources, including a control deviation factor determination module, a power grid state characteristic signal acquisition module, a control response factor acquisition module, an aggregated control response determination module and a load peak shift correction judgment module.

[0066] The control deviation factor determination module is used to analyze the environmental status of the area to be regulated and determine the resource aggregation control deviation factor.

[0067] The power grid state characteristic signal acquisition module is used to analyze the power grid state in the area to be regulated and obtain the power grid state characteristic signal in the area to be regulated.

[0068] The control response factor acquisition module is used to analyze the weakness characteristics of the power grid in the area to be regulated, and obtain the resource aggregation control response factor by combining the characteristic signal of the power grid state in the area to be regulated and the resource aggregation control deviation factor.

[0069] The aggregation control response determination module is used to determine the resource aggregation control response priority category and response duration category of the area to be adjusted based on the resource aggregation control response factor.

[0070] The load peak shift correction judgment module is used to obtain the control scale data of the area to be regulated, and combine the resource aggregation control response factor to determine whether load peak shifting and load power correction are required in the area to be regulated.

[0071] In a specific embodiment, the ambient temperature deviation rate is 0.05, the ambient humidity deviation rate is 0.1, the ambient wind speed is 2.5 meters per second, the compensation factor of the ambient temperature deviation rate is 0.8, the compensation factor of the ambient humidity deviation rate is 0.6, and the compensation factor of the ambient wind speed is 0.4. The environmental characteristic factor of the area to be adjusted is calculated to be 0.1283, and the resource aggregation control deviation factor is determined to be 1.

[0072] The load rate of the power grid transmission line is 0.85, the power grid frequency deviation rate is 0.02, the power grid voltage deviation rate is 0.03, the power grid load fluctuation rate is 0.15, the compensation factor of the power grid transmission line load rate is 1.2, the compensation factor of the power grid frequency deviation rate is 1.0, the compensation factor of the power grid voltage deviation rate is 0.8, and the compensation factor of the power grid load fluctuation rate is 0.5. The calculated characteristic signal of the power grid state in the area to be adjusted is 1.986.

[0073] The resistance of the power grid transmission network is 0.3 ohms, the penetration rate of new energy in the power grid is 0.4, the transmission delay of the power grid communication network is 0.02 seconds, the compensation factor of the resistance of the power grid transmission network is 1.1, the compensation factor of the penetration rate of new energy in the power grid is 0.9, and the compensation factor of the transmission delay of the power grid communication network is 1.3. The calculated resource aggregation regulation response factor is 4.2547, which is lower than the resource aggregation regulation response threshold of 4. The resource aggregation regulation response priority category of the area to be regulated corresponding to the resource aggregation regulation response factor is low priority, and the resource aggregation regulation response duration category of the area to be regulated corresponding to the resource aggregation regulation response factor is minute-level response.

[0074] The adjustable load ratio of the area to be adjusted is 0.6, the remaining available energy storage capacity of the area to be adjusted is 500 kWh, the discharge efficiency of the energy storage equipment in the area to be adjusted is 0.9, the compensation factor of the adjustable load ratio of the area to be adjusted is 0.7, the compensation factor of the remaining available energy storage capacity in the area to be adjusted is 1.2, and the compensation factor of the discharge efficiency of the energy storage equipment in the area to be adjusted is 0.8. The control scale response determination factor of the area to be adjusted is calculated to be 35.4123, which is not less than the control scale response determination threshold of 33 in the area to be adjusted. Therefore, the area to be adjusted corresponding to the control scale response determination factor of the area to be adjusted does not need to perform load peak shifting and load power correction.

[0075] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A method for optimizing and aggregating adjustable load resources, characterized in that: The following steps are involved: Analyze the environmental status of the area to be regulated and determine the resource aggregation regulation deviation factor; Analyze the state of the power grid in the area to be regulated to obtain a characteristic signal of the state of the power grid in the area to be regulated; The weak characteristics of the power grid in the area to be regulated are analyzed, and the resource aggregation regulation response factor is obtained by combining the characteristic signal of the power grid state in the area to be regulated and the resource aggregation regulation deviation factor; Based on the resource aggregation control response factor, determine the resource aggregation control response priority category and response time category of the area to be adjusted; Obtain the control scale data of the area to be regulated, and combine it with the resource aggregation control response factor to determine whether load peak shifting and load power correction are required in the area to be regulated.

2. The method for optimizing, aggregating and controlling adjustable load resources according to claim 1, characterized in that: The specific analysis process of determining the resource aggregation control deviation factor is as follows: Acquire environmental status data of the area to be adjusted, the environmental status data of the area to be adjusted specifically includes an environmental temperature deviation rate, an environmental humidity deviation rate, and an environmental wind speed; Based on the acquired environmental status data of the area to be regulated, the environmental characteristic factors of the area to be regulated are obtained through comprehensive analysis, and the environmental characteristic factors of the area to be regulated are used as the analysis basis for determining the deviation factors of resource aggregation regulation; The environmental characteristic factor of the area to be adjusted is stored as a specified tag, the specified tag is compared with each set tag stored in the database, the set tag corresponding to the specified tag is obtained, and the resource aggregation control deviation factor corresponding to the set tag is obtained.

3. The method for optimizing, aggregating and controlling adjustable load resources according to claim 1, characterized in that: The specific analysis process of obtaining the characteristic signal of the power grid state in the area to be adjusted is as follows: Obtaining the state data of the power grid in the area to be adjusted, the state data of the power grid in the area to be adjusted specifically includes the load rate of the power grid transmission line, the power grid frequency deviation rate, the power grid voltage deviation rate, and the power grid load fluctuation rate; Based on the acquired power grid status data of the area to be regulated, a comprehensive analysis is performed to obtain the characteristic signal of the power grid status in the area to be regulated. The characteristic signal of the power grid status in the area to be regulated is used as an analysis basis for determining the response priority category and response time category of resource aggregation control in the area to be regulated.

4. The method for optimizing, aggregating and controlling adjustable load resources according to claim 1, characterized in that: The weakness characteristics of the regional power grid to be regulated are analyzed, and the resource aggregation regulation response factor is obtained by combining the characteristic signal of the regional power grid state and the resource aggregation regulation deviation factor. The specific analysis process is as follows: Acquire the characteristic data of the power grid weakness in the area to be adjusted, which specifically includes the power grid transmission network resistance, the power grid new energy penetration rate, and the power grid communication network transmission delay; Based on the acquired characteristic data of power grid weakness in the area to be regulated, combined with the characteristic signal of the power grid state in the area to be regulated and the resource aggregation regulation deviation factor, the resource aggregation regulation response factor is obtained. The resource aggregation regulation response factor is used as the analysis basis for determining the response priority category and response time category of resource aggregation regulation in the area to be regulated.

5. The method for optimizing, aggregating and controlling adjustable load resources according to claim 4 is characterized in that: The resource aggregation regulation response factor, the specific analysis process is: Where β is the resource aggregation regulation response factor, α is the characteristic signal of the regional power grid state to be regulated, γ0 is the resource aggregation regulation deviation factor, zk is the power grid transmission network resistance, xns is the power grid new energy penetration rate, sy is the power grid communication network transmission delay, τ1 is the compensation factor of the set zk, τ2 is the compensation factor of the set xns, τ3 is the compensation factor of the set sy, and e is a natural constant.

6. The method for optimizing, aggregating and controlling adjustable load resources according to claim 1, characterized in that: The specific analysis process of determining the response priority category and response duration category of the regional resource aggregation control to be adjusted is as follows: comparing the resource aggregation regulation response factor with the resource aggregation regulation response threshold stored in the database; If the resource aggregation regulation response factor is not lower than the resource aggregation regulation response threshold, the resource aggregation regulation response priority category of the to-be-regulated area corresponding to the resource aggregation regulation response factor is high priority, and the resource aggregation regulation response duration category of the to-be-regulated area corresponding to the resource aggregation regulation response factor is second-level response; If the resource aggregation regulation response factor is lower than the resource aggregation regulation response threshold, the resource aggregation regulation response priority category of the area to be adjusted corresponding to the resource aggregation regulation response factor is low priority, and the resource aggregation regulation response duration category of the area to be adjusted corresponding to the resource aggregation regulation response factor is minute-level response.

7. The method for optimizing, aggregating and controlling adjustable load resources according to claim 1, characterized in that: The control scale data of the area to be adjusted specifically includes the adjustable load ratio of the area to be adjusted, the remaining available energy storage capacity of the area to be adjusted, and the discharge efficiency of the energy storage equipment in the area to be adjusted.

8. The method for optimizing, aggregating and controlling adjustable load resources according to claim 7, characterized in that: The specific analysis process of judging whether it is necessary to perform load peak shifting and load power correction in the area to be regulated is as follows: Based on the regulation scale data of the area to be regulated, combined with the resource aggregation regulation response factor, a comprehensive analysis is conducted to obtain the regulation scale response determination factor of the area to be regulated. The regulation scale response determination factor of the area to be regulated is used as an analysis basis for determining whether load peak shifting and load power correction are required in the area to be regulated. Compare the control scale response determination factor of the to-be-regulated area with the control scale response determination threshold of the to-be-regulated area stored in the database; If the control scale response determination factor of the area to be adjusted is not lower than the control scale response determination threshold of the area to be adjusted, the area to be adjusted corresponding to the control scale response determination factor of the area to be adjusted does not need to perform load peak shifting and load power correction; If the control scale response determination factor of the area to be adjusted is lower than the control scale response determination threshold of the area to be adjusted, the area to be adjusted corresponding to the control scale response determination factor of the area to be adjusted needs to perform load peak shifting and load power correction.

9. The method for optimizing, aggregating and controlling adjustable load resources according to claim 8, characterized in that: The specific analysis process of the response determination factor of the control scale of the area to be adjusted is as follows: Wherein, δ is the response determination factor of the regulation scale in the area to be regulated, β is the resource aggregation regulation response factor, kf is the adjustable load ratio in the area to be regulated, kc is the remaining available energy storage capacity in the area to be regulated, fd is the discharge efficiency of the energy storage equipment in the area to be regulated, ε1 is the compensation factor of the set kf, ε2 is the compensation factor of the set kc, and ε3 is the compensation factor of the set fd.

10. An optimization aggregation control system for adjustable load resources, applied to an optimization aggregation control method for adjustable load resources according to any one of claims 1 to 9, characterized in that: It includes a control deviation factor determination module, a power grid state characteristic signal acquisition module, a control response factor acquisition module, an aggregated control response determination module and a load peak shift correction judgment module, wherein: The control deviation factor determination module is used to analyze the environmental status of the area to be regulated and determine the resource aggregation control deviation factor; The power grid state characteristic signal acquisition module is used to analyze the power grid state of the area to be regulated and obtain the power grid state characteristic signal of the area to be regulated; The control response factor acquisition module is used to analyze the weakness characteristics of the power grid in the to-be-regulated area, and obtain the resource aggregation control response factor by combining the state characteristic signal of the power grid in the to-be-regulated area and the resource aggregation control deviation factor; The aggregation regulation response determination module is used to determine the resource aggregation regulation response priority category and response duration category of the to-be-regulated area based on the resource aggregation regulation response factor; The load peak shift correction judgment module is used to obtain the control scale data of the area to be regulated, and combine the resource aggregation control response factor to determine whether load peak shifting and load power correction are required for the area to be regulated.

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