A method for optimizing multi-type energy demand based on energy units

Abstract

This invention relates to the field of energy supply and distribution technology, specifically to a method for optimizing multi-type energy demand based on energy units. The method includes: acquiring the historical power consumption, predicted power output, and power factor of each device at each monitoring time within the park; determining the required power and inductive load ratio; classifying all energy sources into power-type energy units and energy-type energy units; determining whether to supplement supply within the shortest response time range of energy-type energy units; when supplementing supply, obtaining the initial intervention demand level and cumulative coefficient at the current time, thereby determining the response demand level at the current time; determining the energy supply priority of energy-type energy units to equipment based on the response time and energy reserves of each energy-type energy unit; and combining the response demand level and the supply priority to determine the energy-type energy units to be activated. This invention can improve the efficiency of energy unit demand allocation within a park and reduce energy waste.

Description

Technical Field

[0001] This invention relates to the field of energy supply and distribution technology, and specifically to a method for optimizing multi-type energy demand based on energy units. Background Technology

[0002] Small industrial parks are multifunctional complexes whose energy requirements vary depending on their type. Typically, a single park includes office, commercial, industrial, residential, or mixed-use buildings. Small industrial parks also suffer from the problem of spatial and temporal imbalance in energy load, meaning that there is a clear supply and demand relationship in the park's electricity consumption. When the park consumes electricity, it is necessary to adjust the total amount of electricity applied to the park accordingly to avoid power loss and insufficient power supply caused by different loads at different times.

[0003] In related technologies, energy regulation is carried out by analyzing the power shortage. However, due to the diverse types of loads in the park and the different response times of energy units, energy regulation based directly on the power shortage will lead to an increase in energy allocation in order to achieve a more stable regulation effect, resulting in a significant waste of power supply. The efficiency of energy unit demand allocation within the park is low, and the energy regulation effect between different parks is poor. Summary of the Invention

[0004] To address the technical problems of significant energy waste in power supply, low efficiency in energy unit demand allocation within industrial parks, and poor energy regulation between different industrial parks, this invention provides a method for optimizing multi-type energy demand based on energy units. The specific technical solution adopted is as follows:

[0005] This invention proposes a method for optimizing multi-type energy demand based on energy units, the method comprising:

[0006] Obtain the historical power consumption, predicted power output, and power factor of each device in the park at each detection time.

[0007] The required power is determined by combining the historical power consumption and predicted power output at each testing moment; the inductive load ratio of the park is determined based on the power factor of all equipment at the same testing moment.

[0008] Based on response time, power-type energy units are classified into energy-type energy units; based on the output power of the power-type energy unit and the power of the inductive load, it is determined whether to supplement the supply.

[0009] When replenishing the supply, the initial intervention demand level is obtained based on the current inductive load ratio, combined with the current resistive load power and demand power of each device; the cumulative coefficient is obtained based on the current energy storage margin and the power required by the newly connected inductive device; and the response demand of the device is determined by combining the cumulative coefficient and the initial intervention demand level.

[0010] Based on the response time and energy reserve of each energy-type energy unit, the priority of energy supply to the equipment by the energy-type energy unit is determined. Combining the response demand and the energy supply priority, the energy-type energy units to be activated are determined.

[0011] Furthermore, the determination of required power by combining historical power consumption and predicted power output at each detection moment includes:

[0012] The difference between the predicted output power and the historical energy consumption power at the same detection time is taken as the demand power at the corresponding time.

[0013] Furthermore, determining the inductive load ratio of the park based on the power factor of all devices at the same detection time includes:

[0014] At the same detection time, the difference between the unit value 1 and the power factor of each device is calculated as the inductive proportion of the corresponding device;

[0015] The average of the inductive load percentages of all devices is taken as the inductive load ratio of the park.

[0016] Furthermore, the method of classifying power-type energy units and energy-type energy units based on response time includes:

[0017] Energy units with response times in the millisecond range are classified as power-type energy units, while energy units with response times exceeding milliseconds are classified as energy-type energy units. Here, millisecond range means a response time within 1000 milliseconds.

[0018] Furthermore, determining whether to supplement the power supply based on the output power of the power-type energy unit and the power of the inductive load includes:

[0019] When the output power of the power-type energy unit is greater than or equal to the power of the inductive load, it is determined that no supplementary supply will be made;

[0020] When the output power of the power-type energy unit is less than the power of the inductive load, it is determined to supplement the supply.

[0021] Furthermore, the process of obtaining the initial intervention requirement level at the current moment based on the current inductive load ratio, combined with the current resistive load power and demand power of each device, includes:

[0022] Calculate the ratio of the resistive load power to the required power of each device at the current moment as the resistive demand ratio;

[0023] The difference between the unit value of 1 and the inductive load ratio is taken as the resistive load ratio.

[0024] Calculate the product of resistive demand percentage and resistive load ratio, and use the sum of this product and inductive load ratio as the initial intervention demand level.

[0025] Furthermore, the step of obtaining the cumulative coefficient based on the current energy storage margin and the power required by the newly connected inductive device includes:

[0026] The difference between the total electrical energy of all power-type energy units at the current moment and the total energy consumption of all inductive loads connected to the grid from the detection time to the current moment is calculated as the energy storage margin.

[0027] The sum of the total energy consumption of all inductive loads at the current moment under the shortest response time is taken as the energy consumption of the inductive load.

[0028] Calculate the difference between the energy storage capacity and the energy consumption of the inductive load, normalize the negative of the difference, and use it as a cumulative coefficient.

[0029] Furthermore, the determination of the device's response requirement by combining the cumulative coefficient and the initial intervention requirement includes:

[0030] Calculate the product of the cumulative coefficient and the initial intervention demand level, and normalize it to obtain the response demand level of the device at the current moment.

[0031] Furthermore, determining the power supply priority of each energy-type energy unit to the equipment based on the response time and energy reserve of each energy-type energy unit includes:

[0032] The ratio of electrical energy reserves to response time is calculated and normalized to determine the energy supply priority of energy-type energy units.

[0033] Furthermore, the determination of the energy-type energy units to be activated, based on the combination of response demand and energy supply priority, includes:

[0034] Calculate the product of response demand and energy supply priority, and normalize it to obtain the activation coefficient of the corresponding energy type unit;

[0035] Energy-type energy units with an activation coefficient greater than a preset coefficient threshold are designated as energy-type energy units to be activated.

[0036] The present invention has the following beneficial effects:

[0037] This invention acquires historical power consumption, predicted power output, and power factor of each device within the park. Simultaneously, it analyzes demand power and inductive load ratio. Demand power represents the current demand situation. Due to the inconsistent characteristics of inductive and resistive loads, the inductive load ratio can be used to calculate the load type, providing a data foundation. Furthermore, energy is divided into power-type energy units and energy-type energy units. Since energy-type energy units respond slowly, supply replenishment is determined based on the power of power-type energy units and inductive loads. When supply replenishment is determined, the energy-type energy units to be activated are identified through calculations of response demand and supply priority. This invention effectively combines the complexity and diversity of energy types and loads, classifying energy types into power-type and energy-type energy units, and loads into inductive and resistive loads. This achieves reasonable and reliable classification analysis, enabling the selection of suitable energy units for allocation, optimizing the supply and demand relationship of electricity within the park, improving the efficiency of energy unit demand allocation within the park, reducing energy waste, and enhancing the convenience of energy regulation between different parks. Attached Figure Description

[0038] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 A flowchart of a method for optimizing multi-type energy demand based on energy units, provided in one embodiment of the present invention;

[0040] Figure 2 This is a schematic diagram of an energy storage participation system for peak shaving, provided as an embodiment of the present invention. Detailed Implementation

[0041] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of a multi-type energy demand optimization method based on energy units proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0043] The following is an explanation of the relevant terms in this application:

[0044] Inductive loads: The impedance of the load is mainly inductive, with the current lagging behind the voltage. Part of the electrical energy is converted into useful work, and the other part is used to establish a magnetic field, generating reactive power. Examples include motors, transformers, and inductors. For inductive loads, energy storage devices primarily function in three ways: reactive power compensation, peak load regulation, and voltage stabilization. Because electrical energy generates reactive power, causing a phase difference between current and voltage (reducing the power factor), energy storage devices, in conjunction with reactive power compensation devices, dynamically compensate for reactive power, improving the power factor of the grid, quickly responding to the reactive power demands of inductive loads, and reducing the impact on the grid. On the other hand, inductive devices generate large starting currents during startup, causing a surge in instantaneous power in the grid. Energy storage devices can provide instantaneous power support during load startup, reducing the impact on the grid. Furthermore, when inductive loads operate at high power (e.g., carrying heavy loads), they reduce and cause voltage fluctuations in the grid; therefore, energy storage devices are needed to rapidly charge and discharge to stabilize the grid voltage.

[0045] Resistive loads: The impedance of the load is primarily resistive, and the current and voltage are in phase. Electrical energy is completely converted into heat or other forms of energy, with no reactive power. Examples include electric heaters, incandescent lamps, and electric furnaces. Energy storage devices typically only exist to provide backup power to resistive loads when the overall electrical power in the grid is insufficient.

[0046] Power-type energy units: Power-type energy storage has high power density, can perform frequent charging and discharging operations, and has a fast response speed, but has a small capacity. It is suitable for smoothing short-term power fluctuations, such as supercapacitor energy storage and flywheel energy storage.

[0047] Energy-type energy units: They have high energy density and can store large amounts of energy, but they cannot be charged and discharged frequently and have a slow response. They are suitable for energy leveling over longer timescales, such as electrochemical energy storage, pumped hydro storage, and hydrogen energy storage.

[0048] The following description, in conjunction with the accompanying drawings, details a specific scheme for a multi-type energy demand optimization method based on energy units provided by the present invention.

[0049] Please see Figure 1 The diagram illustrates a flowchart of a method for optimizing multi-type energy demand based on energy units, according to an embodiment of the present invention. The method includes:

[0050] S101: Obtain the historical power consumption, predicted power output, and power factor of each device in the park at each detection time.

[0051] Small campuses are multifunctional, integrated areas with varying energy requirements depending on their type. They typically comprise office, commercial, industrial, residential, or mixed-use buildings within a single campus; the complex electricity demands of small campuses create stringent requirements for their power supply. See also Figure 2 , Figure 2 This is a schematic diagram of an energy storage participation system for peak shaving, provided as an embodiment of the present invention.

[0052] It should be noted that energy storage types are divided into power-type energy units and energy-type energy units. Since a single industrial park contains mixed-use load equipment, these can be categorized into inductive and resistive loads based on their type. Inductive loads have a greater demand for instantaneous power, leading to power fluctuations throughout the park, specifically voltage insufficiency and frequency changes. These changes can reduce the lifespan of the load equipment and, in severe cases, directly damage it. Therefore, energy units need to be placed within the park to meet its power needs. Related technologies often involve configuring a large number of energy units and activating them all when power is needed. However, this approach leads to energy waste and can also cause problems with efficient power supply scheduling between multiple parks.

[0053] First, in order to obtain the energy demand of the load equipment in the park, it is necessary to analyze the daily energy consumption of the park. Therefore, it is necessary to collect the historical energy consumption power of each park.

[0054] The instantaneous power at each moment of the day is obtained through the park's main transformer, forming the park's historical energy consumption curve; the historical energy consumption is the average of the instantaneous power at each detection moment in the most recent 10 days, and the detection moments in the entire text are described in 1-second increments.

[0055] Secondly, thermal power units, as the largest power source in the power system, undertake the main tasks of peak shaving and frequency regulation. Thermal power units adjust their output according to daily electricity demand. However, the intermittency and volatility of clean energy sources such as wind power and photovoltaic power entering the grid increase the peak shaving demand of the system. The power generation of thermal power is based on real-time control of electricity consumption, while clean energy can be predicted according to the environment. Therefore, the predicted output power for the day can be obtained. First, the expected output power of thermal power, wind power, and photovoltaic power at each moment of the day is obtained; then, they are summed to form the predicted output power.

[0056] Furthermore, the daily energy consumption analysis of the park will vary due to the different load devices within the park. Moreover, the different load devices result in different types of energy units required to balance grid fluctuations. Therefore, to analyze the types of load devices in the park, it is necessary to first obtain the power factor of each device at each time.

[0057] Specifically, this involves installing phase difference meters at various electrical devices / terminals within the park (usually in the power supply box). These devices accept voltage and current signals at their input, calculate the phase difference between these two signals using internal circuitry, and display the result in angles (e.g., degrees) or time (e.g., milliseconds). The power factor is then the cosine function value of the phase difference between current and voltage. For resistive loads, the phase difference is 0 degrees, resulting in a power factor of 1. For inductive loads, the phase difference is approximately 90 degrees, and the power factor approaches 0. The system obtains the power factor of each electrical device at various times.

[0058] S102: Determine the required power by combining the historical power consumption and predicted power output at each detection moment; determine the inductive load ratio of the park based on the power factor of all equipment at the same detection moment.

[0059] The energy units in the park primarily address the issue of predicted power output being lower than actual power consumption during periods of high power usage, which can cause voltage fluctuations in the power grid. When predicted power output is less than power consumption, excess electricity is stored in the energy units to prevent waste. When predicted power output is higher than power consumption, the energy storage units are activated to compensate for the missing power. Therefore, obtaining the required power output at each time point of the day is crucial.

[0060] Furthermore, in some embodiments of the present invention, determining the required power by combining the historical power consumption and the predicted power output at each detection time includes: taking the difference between the predicted power output and the historical power consumption at the same detection time as the required power at the corresponding time.

[0061] Among them, the demand power is the power demand information in the park at any given time. It should be noted that there may be situations where the energy supply exceeds the electricity consumption, that is, the demand power can be positive or negative.

[0062] Because the equipment in the park is mixed, including inductive and resistive loads, and the energy demand of inductive and resistive loads is different when they are connected to the power grid, and there will not be significant differences in the equipment in the same park in a short period of time, that is, the ratio of inductive loads to resistive loads will not change significantly in a short period of time, and the power factor of inductive loads and resistive loads is much smaller than that of resistive loads, this embodiment obtains the inductive load ratio at each time based on the power factor of all equipment at each time.

[0063] Furthermore, in some embodiments of the present invention, determining the inductive load ratio of the park based on the power factor of all devices at the same detection time includes: calculating the difference between the unit value 1 and the power factor of each device at the same detection time as the inductive proportion of the corresponding device; and taking the average of the inductive proportions of all devices as the inductive load ratio of the park.

[0064] Since a higher power factor indicates a higher proportion of resistive loads, and a power factor of 1 indicates that all loads are resistive, in this embodiment of the invention, the difference between the unit value of 1 and the power factor of each device is directly used as the inductive proportion of the corresponding device. That is, when the power factor is 0.8, the corresponding inductive proportion is 0.2. The average inductive proportion of all devices is calculated and used as the inductive load ratio of the park. The corresponding calculation formula is as follows:

[0065]

[0066] in, Let be the power factor of the k-th device at time i. The total number of devices is given here. It should be noted that the denominator should be multiplied by the power factor when all devices are resistive loads to determine the proportion of inductive loads at the current moment. However, since the power factor of resistive loads is 1, this is omitted and the calculation is performed directly as an average. Similarly, in the numerator, the more devices with a power factor other than 1 there are, the higher the proportion of inductive loads.

[0067] S103: Classify power-type energy units and energy-type energy units according to response time; determine whether to supplement the supply based on the output power of the power-type energy unit and the power of the inductive load.

[0068] The above embodiments divide energy storage types into power-type energy units and energy-type energy units. The specific division rule is based on the response time of the corresponding energy unit. The shorter the response time, the more timely the power adjustment can be, and in this case, it is regarded as a power-type energy unit. The longer the response time, the more it is regarded as energy storage, that is, as an energy-type energy unit.

[0069] Furthermore, in some embodiments of the present invention, power-type energy units and energy-type energy units are classified according to response time, including: energy units with response times in the millisecond range are classified as power-type energy units, and energy units with response times exceeding the millisecond range are classified as energy-type energy units, wherein millisecond range means that the response time is within 1000 milliseconds.

[0070] In this embodiment of the invention, energy allocation is performed by setting the concept of "millisecond level," as shown in Table 1:

[0071] Table 1

[0072]

[0073] As shown in Table 1, flywheel energy storage, superconducting magnetic energy storage, and supercapacitors can be used as power-type energy units, while other energy units are used as energy-type energy units.

[0074] Power-type energy units can be directly analyzed as the power supply of the power grid itself. Inductive loads, after being connected to the park's power grid, will cause voltage fluctuations. When a power-type energy unit senses an inductive load connected to the grid and generating power demand, its extremely fast response speed will allow it to connect to the grid promptly to balance the demand. However, if multiple inductive loads are connected to the grid in a short period, due to the inability to perform peak shaving on a long-term scale, when the power-type energy unit's power is depleted, it will lead to new power demand, causing severe voltage fluctuations in the power grid. Therefore, park regulation is necessary. In other words, if the power of all power-type energy units in a single park cannot meet the simultaneous connection of multiple devices in a short period, new power supply needs to be introduced from other parks or the upstream power grid. Therefore, it is first necessary to determine the self-sufficiency level of the park.

[0075] The basis for judging whether a system is self-sufficient lies in whether the power of the inductive loads connected to the grid at the same time and the maximum output power of all power-type energy units in a short period of time can meet the supply during that period.

[0076] Furthermore, in some embodiments of the present invention, determining whether to perform supply replenishment based on the output power of the power-type energy unit and the power of the inductive load includes: determining not to perform supply replenishment when the output power of the power-type energy unit is greater than or equal to the power of the inductive load; and determining to perform supply replenishment when the output power of the power-type energy unit is less than the power of the inductive load.

[0077] It is understood that, since inductive loads can fluctuate, in some other embodiments of the present invention, a certain redundancy effect can be set to ensure the pre-analysis of fluctuations. That is, within the shortest response time range of the energy-type energy unit, the difference between the output power of the power-type energy unit and the power of the inductive load is calculated as the power deficit. When the power deficit is greater than a preset deficit threshold, it is determined that no supply will be supplemented; otherwise, supply will be supplemented. The preset deficit threshold can be specifically 10 kilowatts, and there is no limitation thereto.

[0078] S104: When supplementing supply, the initial intervention demand level at the current moment is obtained based on the current inductive load ratio, combined with the current power and demand power of the resistive load of each device; the cumulative coefficient is obtained based on the current energy storage margin and the power required by the newly connected inductive device; and the response demand of the device is determined by combining the cumulative coefficient and the initial intervention demand level.

[0079] When it is determined that power-type energy units cannot meet the load demand and supplementary supply is required, energy-type energy units should be introduced in a timely manner.

[0080] Furthermore, in some embodiments of the present invention, the initial intervention demand level at the current moment is obtained based on the current inductive load ratio and the current power of the resistive load of each device and the demand power, including: calculating the ratio of the current power of the resistive load of each device to the demand power as the resistive demand ratio; taking the difference between the unit value 1 and the inductive load ratio as the resistive load ratio; calculating the product of the resistive demand ratio and the resistive load ratio, and taking the sum of the product and the inductive load ratio as the initial intervention demand level.

[0081] When considering the inductive load at each detection moment, it is necessary to consider not only the proportion of equipment but also the power of resistive and inductive loads. For example, the power of resistive loads is extremely high in electrolysis processes, while the power of engines is extremely high in mechanical manufacturing plants. Therefore, when the power generated by resistive loads is also very high, the intervention of energy-type energy units is more necessary. That is, the ratio of the power of resistive loads to the power demand of each device at the current moment is calculated as the resistive demand proportion, and the difference between the unit value 1 and the inductive load ratio is taken as the resistive load ratio. The product of the resistive demand proportion and the resistive load ratio is calculated, and this product value represents the intervention level required for resistive loads. At the same time, if the proportion of inductive loads is very high, energy-type energy units also need to be intervened to avoid insufficient power of power-type energy units. Therefore, the sum of the product value and the inductive load ratio is calculated as the initial intervention requirement.

[0082] The calculation of the initial intervention demand level shows that when the proportion of inductive load is higher, or when the power of resistive equipment accounts for most of the demand power, it indicates that all equipment connected to the grid at the current moment requires higher power, that is, power-type energy units may not be able to meet the required regulation demand.

[0083] It is understandable that while considering the load situation at a single moment, it is also necessary to consider the energy consumption of the power-type energy unit by the loads already connected to the grid, as well as the possibility of other inductive loads being connected to the grid after the current moment. The loads previously connected to the grid will consume a large amount of energy stored in the power-type energy unit, leading to insufficient power supply from the power-type energy unit when other devices are subsequently connected. This embodiment of the invention uses a cumulative coefficient for specific calculations.

[0084] Based on the current energy storage margin and the power required by the newly connected inductive equipment, a cumulative coefficient is obtained, including: calculating the difference between the total electrical energy of all power-type energy units at the current moment and the total energy consumption of all inductive loads connected to the grid from the detection time to the current moment, as the energy storage margin; summing the total energy consumption of all inductive loads at the current moment under the shortest response time, as the inductive load energy consumption; calculating the difference between the energy storage margin and the inductive load energy consumption, normalizing the negative of the difference, and using it as the cumulative coefficient.

[0085] Among them, the energy storage margin is the energy storage analysis based on the inductive load situation at all detection times, while the inductive load energy consumption represents the total energy consumption of all inductive loads under the shortest response time, and thus represents the inductive load situation after the current time. Whether power-type energy units can be regulated by the grid also needs to consider the inductive loads that will be connected to the grid later. Based on the energy storage margin and the power of the inductive loads that will be connected to the grid later, the cumulative coefficient is obtained, that is, the difference between the energy storage margin and the inductive load energy consumption is calculated, and the negative number of the difference is normalized as the cumulative coefficient.

[0086] The larger the cumulative coefficient, the smaller the energy storage margin, the weaker the load capacity of the power-type energy unit for inductive loads connected after the current moment, and the more timely the intervention of the energy-type energy unit is required.

[0087] Furthermore, in some embodiments of the present invention, determining the response demand at the current moment by combining the cumulative coefficient and the initial intervention demand level includes: calculating the product of the cumulative coefficient and the initial intervention demand level, and normalizing it as the response demand level.

[0088] Since a larger cumulative coefficient indicates a smaller energy storage margin, the power-type energy unit is less capable of handling inductive loads added after the current moment, and it is more necessary to use energy-type energy units to intervene in a timely manner. Furthermore, a larger initial intervention demand value indicates a greater need for energy-type energy unit intervention. Therefore, the product of the cumulative coefficient and the initial intervention demand value is directly calculated and normalized to represent the response demand degree.

[0089] S105: Based on the response time and energy reserve of each energy-type energy unit, determine the priority of energy-type energy units in supplying energy to the equipment. Combining the response demand and the priority of energy supply, determine the energy-type energy units to be opened.

[0090] In a park with multiple types of energy units, including power-type and energy-type energy units, power-type energy units have a fast control response speed and can be charged frequently, while energy-type energy units have a slow control speed and cannot be charged frequently. Therefore, energy-type energy units should be avoided as much as possible within the capacity of power-type energy units. Thus, the impact essentially lies in the intervention time of each energy-type energy unit. Therefore, this embodiment analyzes the intervention time based on the response demand. If the intervention time is longer than the minimum intervention time, it indicates that more control is needed; otherwise, it indicates that the existing power-type energy units are sufficient to complete the park optimization.

[0091] Furthermore, in some embodiments of the present invention, the priority of energy supply to the device by each energy-type energy unit is determined based on the response time and energy reserve of each energy-type energy unit, including: calculating the ratio of energy reserve to response time and normalizing it as the priority of energy supply to the energy-type energy unit.

[0092] In other words, the shorter the response time and the greater the energy reserve, the higher the priority function of the corresponding energy-type energy unit. Then, based on the response demand and the priority of energy supply, the energy-type energy unit to be activated is determined.

[0093] Based on the response demand and energy supply priority, determine the energy type energy units to be activated, including: calculating the product of the response demand and energy supply priority, normalizing it as the activation coefficient of the corresponding energy type energy unit; and designating energy type energy units with activation coefficients greater than a preset coefficient threshold as energy type energy units to be activated.

[0094] It is understood that the response demand level indicates the degree of need for energy-type energy unit intervention. The larger the value, the more energy-type energy unit supply is needed. The larger the energy supply priority value, the higher the priority of supplying energy-type energy unit. Therefore, the corresponding activation coefficient is directly calculated, and the activation of energy-type energy units is screened through the activation coefficient. In some embodiments of the present invention, energy-type energy units with activation coefficients greater than a preset coefficient threshold can be used as energy-type energy units to be activated. The preset coefficient threshold is the threshold value of the activation coefficient, and its value can be, for example, 0.5, without limitation.

[0095] Of course, in other embodiments of the present invention, the components can be sorted in descending order of the activation coefficient and activated sequentially until the energy supply demand is met at the current moment, without limitation.

[0096] This invention acquires historical power consumption, predicted power output, and power factor of each device within the park. Simultaneously, it analyzes demand power and inductive load ratio. Demand power represents the current demand situation. Due to the inconsistent characteristics of inductive and resistive loads, the inductive load ratio can be used to calculate the load type, providing a data foundation. Furthermore, energy is divided into power-type energy units and energy-type energy units. Since energy-type energy units respond slowly, supply replenishment is determined based on the power of power-type energy units and inductive loads. When supply replenishment is determined, the energy-type energy units to be activated are identified through calculations of response demand and supply priority. This invention effectively combines the complexity and diversity of energy types and loads, classifying energy types into power-type and energy-type energy units, and loads into inductive and resistive loads, achieving reasonable and reliable classification analysis. This allows for the selection of suitable energy units for allocation, optimizing the supply and demand relationship of electricity within the park, improving the efficiency of energy unit demand allocation within the park, reducing energy waste, and enhancing the convenience of energy regulation between different parks.

[0097] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0098] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for optimizing multi-type energy demand based on energy units, characterized in that, The method includes: Obtain the historical power consumption, predicted power output, and power factor of each device in the park at each detection time. The required power is determined by combining the historical power consumption and predicted power output at each detection moment; the inductive load ratio of the park is determined based on the power factor of all equipment at the same detection moment; power-type energy units and energy-type energy units are divided according to response time; and whether to supplement the supply is determined based on the output power of the power-type energy units and the power of the inductive load. When supplementing supply, the initial intervention demand level is obtained based on the current inductive load ratio and the current resistive load power and demand power of each device. This includes: calculating the ratio of the current resistive load power to the demand power of each device as the resistive demand ratio; taking the difference between the unit value 1 and the inductive load ratio as the resistive load ratio; calculating the product of the resistive demand ratio and the resistive load ratio; and taking the sum of this product and the inductive load ratio as the initial intervention demand level. Based on the current energy storage margin and the power required by the newly connected inductive equipment, the cumulative coefficient is obtained, including: calculating the difference between the total electrical energy of all power-type energy units at the current time and the total energy consumption of all inductive loads connected to the grid from the detection time to the current time, as the energy storage margin; summing the total energy consumption of all inductive loads at the current time under the shortest response time, as the inductive load energy consumption; calculating the difference between the energy storage margin and the inductive load energy consumption; normalizing the negative of the difference, as the cumulative coefficient; calculating the product of the cumulative coefficient and the initial intervention demand level, and normalizing it, to determine the response demand level of the equipment. Based on the response time and energy reserve of each energy-type energy unit, the ratio of energy reserve to response time is calculated and normalized to determine the energy-type energy unit's priority in supplying energy to the equipment. Combining the response demand and energy supply priority, the energy-type energy units to be activated are determined.

2. The method for optimizing multi-type energy demand based on energy units as described in claim 1, characterized in that, The required power is determined by combining the historical power consumption and predicted power output at each detection time, including: The difference between the predicted output power and the historical energy consumption power at the same detection time is taken as the demand power at the corresponding time.

3. The method for optimizing multi-type energy demand based on energy units as described in claim 1, characterized in that, Based on the power factor of all devices at the same detection time, determine the inductive load ratio of the park, including: At the same detection time, the difference between the unit value 1 and the power factor of each device is calculated as the inductive proportion of the corresponding device; The average of the inductive load percentages of all devices is taken as the inductive load ratio of the park.

4. The method for optimizing multi-type energy demand based on energy units as described in claim 1, characterized in that, Based on response time, power-type energy units and energy-type energy units are classified into: Energy units with response times in the millisecond range are classified as power-type energy units, while energy units with response times exceeding milliseconds are classified as energy-type energy units. Here, millisecond range means a response time within 1000 milliseconds.

5. The method for optimizing multi-type energy demand based on energy units as described in claim 1, characterized in that, Based on the output power of the power-type energy unit and the power of the inductive load, determine whether to supplement the supply, including: When the output power of the power-type energy unit is greater than or equal to the power of the inductive load, it is determined that no supplementary supply will be made; When the output power of the power-type energy unit is less than the power of the inductive load, it is determined to supplement the supply.

6. The method for optimizing multi-type energy demand based on energy units as described in claim 1, characterized in that, Based on the response demand and energy supply priority, the energy-type energy units to be activated are identified, including: Calculate the product of response demand and energy supply priority, and normalize it to obtain the activation coefficient of the corresponding energy type unit; Energy-type energy units with an activation coefficient greater than a preset coefficient threshold are designated as energy-type energy units to be activated.

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