Multi-type energy consumption demand optimization method based on energy unit
By obtaining the park's historical energy consumption and predicting output power, dividing the types of energy units and optimizing the supply, the problem of low distribution efficiency of energy units in small parks is solved, and efficient allocation of energy and reducing waste is achieved.
Patent Information
- Application Number
- CN202510962616.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-14
- Publication Date
- 2025-08-12
- Estimated Expiration
- 2045-07-14
AI Technical Summary
The demand allocation efficiency of energy units in small parks is low, the energy regulation effect is poor, and there are problems of energy waste and insufficient power supply.
By obtaining the park's historical energy consumption power and predicting output power, determining the demand power and inductive load ratio, dividing power and energy-type energy units, optimizing the supply and energy supply priority of the energy units based on the response time and energy storage margin, and reasonably allocating the energy units to meet the park's electricity demand.
It improves the efficiency of energy unit demand allocation in the park, reduces energy waste, and enhances the convenience of energy regulation between different parks.
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Figure CN120474005A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of energy supply and distribution, and in particular to a method for optimizing multi-type energy demands based on energy units. Background Art
[0002] Small industrial parks are comprehensive areas with diverse functions. The energy requirements vary depending on the type of buildings, and a single park usually includes office, commercial, industrial, residential or mixed-use buildings. However, small industrial parks have the problem of temporal and spatial imbalance of energy load, that is, there is a clear supply and demand relationship in the park's consumption of electricity. When the park consumes electricity, the total amount of electricity acting on the park needs to be adjusted accordingly to avoid power loss and power shortage caused by different loads in the park at different times.
[0003] In related technologies, energy regulation is performed by analyzing the power gap. However, due to the diverse types of loads within the park, the response time of energy units also varies. Directly performing energy regulation based on the power gap will increase the amount of energy allocated in order to achieve a more stable regulation effect, which will still result in a large 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] In order to solve the technical problems in related technologies such as the still large waste of electricity supply, the low efficiency of energy unit demand allocation within the park, and the poor energy regulation effect between different parks, the present invention provides a multi-type energy demand optimization method based on energy units. The technical solutions adopted are as follows: The present invention proposes a multi-type energy demand optimization method based on energy units, the method comprising: Obtain the park's historical energy consumption, predicted output power, and power factor of each device at each detection time; Determine the required power by combining the historical energy consumption and predicted output power 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; Divide power-type energy units into energy-type energy units based on response time; determine whether to supply supplementary energy based on the output power of the power-type energy unit and the power of the inductive load; When replenishing the supply, the initial intervention requirement is determined based on the current inductive load ratio, the power of the current resistive load of each device, and the required power. The cumulative coefficient is obtained based on the current energy storage margin and the power required by the newly added inductive device. The response requirement of the device is determined by combining the cumulative coefficient and the initial intervention requirement. According to the response time and power reserve of each energy type energy unit, the energy supply priority of the energy type energy unit to the equipment is determined, and the energy type energy unit to be opened is determined in combination with the response demand and the energy supply priority.
[0005] Furthermore, the determination of the required power by combining the historical energy consumption power and the predicted output power at each detection moment includes: The difference between the predicted output power and the historical energy consumption power at the same detection moment is taken as the required power at the corresponding moment.
[0006] Furthermore, determining the inductive load ratio of the park based on the power factors of all devices at the same detection moment includes: At the same detection moment, calculate the difference between the unit value 1 and the power factor of each device as the inductive ratio of the corresponding device; The average of the inductive load ratios of all devices is used as the inductive load ratio of the park.
[0007] Furthermore, the division of power-type energy units and energy-type energy units according to response time includes: Energy units with millisecond response time are regarded as power-type energy units, and energy units with response time exceeding millisecond level are regarded as energy-type energy units, where millisecond level means that the response time is within 1000 milliseconds.
[0008] Furthermore, the determining whether to perform supply supplementation based on the output power of the power-type energy unit and the power of the inductive load includes: When the output power of the power-type energy unit is greater than or equal to the power of the inductive load, determining not to supply supplementary power; When the output power of the power-type energy unit is less than the power of the inductive load, it is determined to perform supply supplementation.
[0009] Furthermore, the initial intervention requirement level at the current moment is obtained based on the inductive load ratio at the current moment, combined with the power of the resistive load of each device and the required power, including: Calculate the ratio of the power of the resistive load of each device to the required power at the current moment as the resistive demand ratio; The difference between the unit value 1 and the inductive load ratio is taken as the resistive load ratio; Calculate the product of the resistive demand ratio and the resistive load ratio, and use the sum of this product and the inductive load ratio as the initial intervention demand level.
[0010] Furthermore, the accumulation coefficient is obtained according to the current energy storage margin and the power required by the newly incorporated inductive device, including: Calculate the difference between the total electric 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 all detection moments to the current moment as the energy storage margin; The sum of the total energy consumption of all inductive loads at the current moment in the shortest response time is taken as the inductive load energy consumption; Calculate the difference between the energy storage margin and the energy consumption of the inductive load, normalize the inverse of the difference, and use it as the cumulative coefficient.
[0011] Furthermore, the step of determining the response requirement of the device by combining the cumulative coefficient and the initial intervention requirement includes: The product of the cumulative coefficient and the initial intervention requirement is calculated and normalized as the response requirement of the device at the current moment.
[0012] Furthermore, the step of determining the energy supply priority of each energy type energy unit to the device based on the response time and the power reserve of each energy type energy unit includes: The ratio of the electric energy reserve and the response time is calculated and normalized to serve as the energy supply priority of the energy-type energy unit.
[0013] Furthermore, the step of determining the energy type energy unit to be turned on by combining the response demand degree and the energy supply priority degree includes: Calculate the product of the response demand degree and the energy supply priority degree, and normalize it as the activation coefficient of the corresponding energy-type energy unit; The energy type energy unit whose opening coefficient is greater than the preset coefficient threshold is regarded as the energy type energy unit to be opened.
[0014] The present invention has the following beneficial effects: The embodiment of the present invention obtains the historical energy consumption power, predicted output power, and power factor of each device in the park, and at the same time analyzes the demand power and the inductive load ratio. The demand power represents the demand situation at the current moment. Since the characteristics of inductive loads and resistive loads are inconsistent, the inductive load ratio can calculate the form of the load to obtain a data basis; further, the energy is divided into power-type energy units and energy-type energy units. Since the energy-type energy unit responds slowly, the supply replenishment judgment is made based on the power of the power-type energy unit and the inductive load; and when determining to replenish the supply, the energy-type energy unit to be opened is determined by calculating the response demand degree and the energy supply priority. The embodiment of the present invention can effectively combine the complexity and diversity of energy types and the diversity of loads, divide the energy types into power-type energy units and energy-type energy units, and divide the loads into inductive loads and resistive loads, to achieve reasonable and reliable classification analysis, so that suitable energy units can be selected for allocation, so as to optimize the supply and demand relationship of electric energy in the park, improve the efficiency of energy unit demand allocation in the park, reduce energy waste, and enhance the convenience of energy regulation between different parks. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0016] Figure 1 A flow chart of a method for optimizing multi-type energy demand based on energy units provided by one embodiment of the present invention; Figure 2 A schematic diagram of energy storage participating in system peak regulation provided in one embodiment of the present invention. DETAILED DESCRIPTION
[0017] To further illustrate the technical means and effectiveness of the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation, structure, features, and effectiveness of a multi-type energy demand optimization method based on energy units proposed in accordance with the present invention. In the following description, different references to "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
[0018] Unless defined otherwise, 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 belongs.
[0019] The following is an explanation of the relevant terms of this application: Inductive loads: The load's impedance is primarily inductive, with current lagging behind voltage. Part of the electrical energy is converted into useful work, while the remainder is used to create a magnetic field, generating reactive power. Examples include motors, transformers, and inductors. For inductive loads, energy storage devices primarily provide reactive power compensation, peak load regulation, and voltage stabilization. Because reactive power is generated by electrical energy, a phase difference between current and voltage occurs (reducing the power factor). Therefore, energy storage devices are needed to dynamically compensate for this reactive power in conjunction with reactive power compensation devices, improving the grid's power factor and rapidly responding to reactive power demands from inductive loads, thereby reducing grid impact. Furthermore, during startup, inductive loads generate large starting currents, resulting in a transient power surge in the grid. Energy storage devices can provide instantaneous power support during load startup, mitigating grid impact. Furthermore, when inductive loads operate at high power (e.g., when carrying heavy objects), they can lower the grid voltage and increase voltage fluctuations. Therefore, energy storage devices are required to rapidly charge and discharge to stabilize the grid voltage.
[0020] Resistive load: The load's impedance is primarily resistance, with current and voltage 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 resistance furnaces. Energy storage devices are typically used only to provide backup power for resistive loads when the grid experiences an overall power shortage.
[0021] Power-type energy unit: Power-type energy storage has high power density, can perform frequent charging and discharging actions, and has a fast response speed, but has a small capacity. It is suitable for smoothing short-time-scale power fluctuations, such as supercapacitor energy storage and flywheel energy storage.
[0022] Energy-type energy unit: It has high energy density and can store large capacity, but it cannot be charged and discharged frequently, and its response is slow. It is suitable for electric energy stabilization work on a longer time scale, such as electrochemical energy storage, pumped storage, hydrogen energy storage, etc.
[0023] The following describes in detail a specific solution of a multi-type energy demand optimization method based on energy units provided by the present invention with reference to the accompanying drawings.
[0024] See also Figure 1 , which shows a flow chart of a method for optimizing multi-type energy demand based on energy units provided by one embodiment of the present invention, the method comprising: S101: Obtain the historical energy consumption power, predicted output power, and power factor of each device of the park at each detection time.
[0025] Small campuses are comprehensive areas with diverse functions. The energy requirements vary depending on the type of buildings. Usually, a single campus includes office, commercial, industrial, residential or mixed-use buildings. The complex campus power demand creates stringent requirements for small campuses. Figure 2 , Figure 2 A schematic diagram of energy storage participating in system peak regulation provided in one embodiment of the present invention.
[0026] It should be noted that energy storage types are divided into power-type energy units and energy-type energy units. Since a single park contains mixed-purpose load equipment, it can be divided into inductive loads and resistive loads according to the different types of equipment. Among them, inductive loads have a greater demand for instantaneous electric energy, which will cause fluctuations in electric energy in the entire park, specifically manifested as insufficient voltage and changes in frequency. Such changes will reduce the life of the load equipment, and more seriously, will directly damage the equipment. Therefore, it is necessary to place energy units in the park to meet the electricity demand of the park. In the related technology, a large number of energy units are configured and all of them are turned on when electricity supply is needed. This method will cause energy waste, and there will also be problems with unreasonable energy supply scheduling between multiple parks.
[0027] First, in order to obtain the energy unit requirements of the load equipment in the park, it is necessary to analyze the daily energy consumption of the park. Therefore, it is necessary to first collect and obtain the historical energy consumption power of each park.
[0028] The park's main transformer is used to obtain instantaneous power at each moment of the day, forming a historical energy consumption curve for the park. The historical energy consumption curve is the average of the instantaneous power at each detection moment over the past 10 days. The detection moments throughout the text are described in 1 second increments.
[0029] Secondly, thermal power units, as the power source with the largest proportion in the power system, undertake the main tasks of peak and frequency regulation, and thermal power units will adjust their output accordingly with daily electricity demand. However, with the integration of clean energy such as wind power and photovoltaic power into the power grid, intermittency and volatility will increase the system's peak regulation demand. The power generation of thermal power is regulated in real time based on electricity consumption, and clean energy can also be predicted according to the environment. Therefore, the predicted output power of the day can be obtained. First, the expected thermal power output power, wind power output power and photovoltaic output power at each time of the day are obtained; then they are added together to form the predicted output power.
[0030] Going a step further, when analyzing the daily energy consumption of the park, differences will occur due to the different load devices in the park. Because the different load devices lead to 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.
[0031] Specifically, a phase difference meter is installed on each electrical device / terminal in the park (usually in the power supply box). The meter's inputs are connected to voltage and current signals. Internal circuitry calculates the phase difference between the two signals and displays the result in degrees or milliseconds. The power factor is the cosine function 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, depending on the load, and the power factor approaches 0. The power factor of each electrical device at each moment is obtained.
[0032] S102: Determine the required power by combining the historical energy consumption power and the predicted output power at each detection moment; and determine the inductive load ratio of the park based on the power factors of all devices at the same detection moment.
[0033] The energy units in the park are primarily designed to handle situations where the predicted output power is lower than the actual power consumption during periods of high power consumption, which can lead to voltage fluctuations in the grid. When the predicted output power is lower than the power consumption, the excess power is stored in the energy units to avoid wasted energy. When the predicted output power is higher than the power consumption, the energy storage units are discharged to compensate for the power loss. Therefore, it is first necessary to obtain the power demand at each time of the day.
[0034] Furthermore, in some embodiments of the present invention, the required power is determined by combining the historical energy consumption power and the predicted output power at each detection moment, including: taking the difference between the predicted output power and the historical energy consumption power at the same detection moment as the required power at the corresponding moment.
[0035] The power demand is the power demand information in the park at each moment. It should be noted that there may be a situation where the energy supply is greater than the power consumption, that is, the power demand can be positive or negative.
[0036] Since the equipment in the park is mixed, including inductive loads and resistive loads, and the requirements for energy units when inductive loads and resistive loads are connected to the power grid are different, and there will not be large equipment differences in the same park in a short period of time, that is, the ratio of inductive loads to resistive loads in a short period of time will not change significantly, and the power factors of inductive loads and resistive loads are much smaller than that of resistive loads. Therefore, this embodiment obtains the inductive load ratio at each moment based on the power factors of all equipment at each moment.
[0037] Furthermore, in some embodiments of the present invention, the inductive load ratio of the park is determined based on the power factors of all devices at the same detection moment, including: at the same detection moment, calculating the difference between the unit value 1 and the power factor of each device as the inductive ratio of the corresponding device; and taking the average of the inductive ratios of all devices as the inductive load ratio of the park.
[0038] Among them, since the larger the value of the power factor, the larger the corresponding resistive load ratio, when the power factor is 1, it means that all loads are resistive loads. Therefore, in the embodiment of the present invention, the difference between the unit value 1 and the power factor of each device is directly used as the inductive ratio of the corresponding device, that is, when the power factor is 0.8, the corresponding inductive ratio is 0.2. The average value of each device is calculated, and the average of the inductive ratios of all devices is used as the inductive load ratio of the park. The corresponding calculation formula is:
[0039] in, is the power factor of the kth device at the i-th moment, is the total number of devices. Note that the denominator should be multiplied by the power factor when all loads are resistive to determine the current proportion of inductive loads. However, since the power factor of resistive loads is 1, this factor is omitted and the average is calculated directly. Similarly, in the numerator, the more devices with a power factor other than 1, the greater the inductive load ratio.
[0040] S103: Divide the power-type energy unit and the energy-type energy unit according to the response time; and determine whether to supply supplementary energy according to the output power of the power-type energy unit and the power of the inductive load.
[0041] The above embodiment divides the energy storage type into power-type energy units and energy-type energy units. The specific division rule is the response time of the corresponding energy unit. The shorter the response time, the more timely the power adjustment can be performed. At this time, it is regarded as a power-type energy unit. The longer the response time, the more it is regarded as reserve energy, that is, as an energy-type energy unit.
[0042] Furthermore, in some embodiments of the present invention, power-type energy units and energy-type energy units are divided according to response time, including: energy units with response time in the millisecond level are regarded as power-type energy units, and energy units with response time exceeding the millisecond level are regarded as energy-type energy units, wherein the millisecond level means that the response time is within 1000 milliseconds.
[0043] In the embodiment of the present invention, energy division is performed by setting the concept of "millisecond level", see Table 1: Table 1
[0044] As can be seen from Table 1, flywheel energy storage, superconducting magnetic energy storage and supercapacitors can be used as power-type energy units, and other energy units can be used as energy-type energy units.
[0045] Power-type energy units can be directly analyzed as the power supply of the power grid itself. After the inductive load is connected to the park's power grid, it will cause fluctuations in the grid voltage. At this time, when the power-type energy unit senses that an inductive load has been connected to the grid and a power demand has been generated, it will be connected to the grid in a timely manner to balance the power demand due to its extremely fast response speed. However, if multiple inductive loads are connected to the grid in a short period of time, since it cannot peak on a long scale, when the power-type energy unit's power is exhausted, new power demand will be generated, causing serious fluctuations in the grid voltage. Therefore, the park needs to be regulated. In other words, if the power of all power-type energy units in a single park cannot meet the needs of multiple devices being connected at the same time in a short period of time, new energy will need to be introduced from other parks or the upper-level power grid. Therefore, it is necessary to first determine the self-sufficiency level of the park.
[0046] The basis for judging whether it is self-sufficient is 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 this period.
[0047] Furthermore, in some embodiments of the present invention, whether to perform supply supplementation is determined based on the output power of the power-type energy unit and the power of the inductive load, including: when the output power of the power-type energy unit is greater than or equal to the power of the inductive load, determining not to perform supply supplementation; when the output power of the power-type energy unit is less than the power of the inductive load, determining to perform supply supplementation.
[0048] It is understandable that since the inductive load will produce fluctuations, in other embodiments of the present invention, a certain redundancy effect can be set to ensure the pre-analysis of the 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 shortage. When the power shortage is greater than the preset shortage threshold, it is determined that no supply supplement is performed, otherwise supply supplement is performed. The preset shortage threshold can be specifically 10 kilowatts, and there is no limit on this.
[0049] S104: When supply replenishment is being performed, the initial intervention demand level at the current moment is obtained based on the inductive load ratio at the current moment, combined with the power of the resistive load of each device and the required power; the cumulative coefficient is obtained based on the current energy storage margin and the power required by the newly incorporated inductive device, and the response demand level of the device is determined by combining the cumulative coefficient and the initial intervention demand level.
[0050] When it is determined that the power-type energy unit cannot meet the load demand and needs to be supplemented, the energy-type energy unit is introduced in a timely manner.
[0051] Furthermore, in some embodiments of the present invention, based on the inductive load ratio at the current moment, combined with the current power of the resistive load of each device and the required power, the initial intervention demand level at the current moment is obtained, including: calculating the ratio of the power of the resistive load of each device at the current moment to the required 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.
[0052] When considering the inductive load at each detection moment, it is necessary not only to consider the proportion of the equipment, but also the power of the resistive and inductive loads. For example, in the electrolysis process, the power of the resistive load is extremely large, and in the machinery production factory, the power of the engine is extremely large. Then, when the power generated by the resistive load is also large, the more energy-type energy units need to intervene. That is, the ratio of the power of the resistive load of each device at the current moment to the required power is calculated as the resistive demand ratio, and the difference between the unit value 1 and the inductive load ratio is used as the resistive load ratio; the product of the resistive demand ratio and the resistive load ratio is calculated. The product value represents the intervention required for the resistive load; at the same time, if the proportion of the inductive load is large, the energy-type energy unit also needs to intervene to avoid insufficient power of the power-type energy unit. Therefore, the sum of the product value and the inductive load ratio is calculated as the initial intervention requirement level.
[0053] Calculations of the initial intervention requirement level show that when the proportion of inductive loads increases or the power of resistive devices accounts for a larger proportion of the required power, it indicates that all devices currently connected to the grid require higher power, that is, power-type energy units may not be able to meet the required regulation requirements.
[0054] It is understandable that, while considering the load conditions at a single moment, it is also necessary to consider the energy consumption of the power energy unit by the loads already connected to the grid, as well as the possibility that other inductive loads will be connected to the grid after the current moment. The loads previously connected to the grid will consume a large amount of the energy stored in the power energy unit, thereby resulting in insufficient energy supply from the power energy unit when other devices are subsequently connected. This embodiment of the present invention performs specific calculations using a cumulative coefficient.
[0055] According to the energy storage margin at the current moment and the power required by the newly added inductive equipment, a cumulative coefficient is obtained, including: calculating the difference between the total electric energy of all power-type energy units at the current moment and the total energy consumption of all inductive loads added to the power grid from all detection moments to the current moment as the energy storage margin; taking the sum of the total energy consumption of all inductive loads at the current moment in 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 inverse of the difference, and using it as the cumulative coefficient.
[0056] Among them, the energy storage margin is an energy storage analysis based on the inductive load conditions at all detection moments, and the inductive load energy consumption represents the total energy consumption of all inductive loads in the shortest response time, which further represents the inductive load conditions connected to the grid after the current moment. Whether the power-type energy unit can perform grid regulation also needs to consider the inductive loads that will be connected to the grid later. Then, 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 inverse of the difference is normalized and used as the cumulative coefficient.
[0057] The larger the value of the cumulative coefficient, the smaller the value of the energy storage margin, the weaker the load capacity of the power-type energy unit for the inductive load incorporated after the current moment, and the more timely intervention of the energy-type energy unit is needed.
[0058] Furthermore, in some embodiments of the present invention, the current response requirement is determined by combining the cumulative coefficient and the initial intervention requirement, including: calculating the product of the cumulative coefficient and the initial intervention requirement, and normalizing the product to obtain the response requirement.
[0059] Since the larger the value of the cumulative coefficient, the smaller the value of the energy storage margin, the weaker the load capacity of the power-type energy unit for the inductive load incorporated after the current moment, and the more timely intervention of the energy-type energy unit is needed, and the larger the value of the initial intervention demand degree, the more necessary it is to intervene with the energy-type energy unit. Therefore, the product value of the cumulative coefficient and the initial intervention demand degree is directly calculated and normalized as the response demand degree.
[0060] S105: Determine the energy supply priority of each energy type energy unit to the equipment based on the response time and power reserve of each energy type energy unit, and determine the energy type energy unit to be opened based on the response demand and the energy supply priority.
[0061] In a park with multiple energy units, including power-type and energy-type energy units, power-type energy units have a fast regulation response speed and can be charged frequently, while energy-type energy units have a slow regulation speed and cannot be charged frequently. Therefore, energy-type energy units should be used as little as possible within the capacity of the power-type energy units. The essence of this impact 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 greater than the minimum intervention time, it indicates that regulation is more necessary. Otherwise, the current power-type energy units are sufficient to complete the park optimization.
[0062] Furthermore, in some embodiments of the present invention, the energy supply priority of the energy type energy unit to the equipment is determined based on the response time and electric energy reserve of each energy type energy unit, including: calculating the ratio of the electric energy reserve and the response time, and normalizing it as the energy supply priority of the energy type energy unit.
[0063] That is, the smaller the corresponding time is and the greater the amount of electric energy reserves, the corresponding energy-type energy unit will have a priority function, and then the energy-type energy unit to be opened is determined based on the response demand and energy supply priority.
[0064] In combination with the response demand degree and the energy supply priority degree, the energy type energy unit to be opened is determined, including: calculating the product value of the response demand degree and the energy supply priority degree, normalizing it as the opening coefficient of the corresponding energy type energy unit; and taking the energy type energy unit whose opening coefficient is greater than the preset coefficient threshold as the energy type energy unit to be opened.
[0065] It can be understood that the response demand degree indicates the degree of demand for the intervention of the energy-type energy unit. The larger the value, the more the energy-type energy unit is needed to supply, and the larger the value of the energy supply priority, the higher the priority of the energy-type energy unit. Therefore, the corresponding opening coefficient is directly calculated, and the opening screening of the energy-type energy unit is performed through the opening coefficient. In some embodiments of the present invention, the energy-type energy unit with an opening coefficient greater than a preset coefficient threshold can be used as the energy-type energy unit to be opened, wherein the preset coefficient threshold is the threshold value of the opening coefficient, and its value can be specifically, for example, 0.5, and there is no limitation on this.
[0066] Of course, in other embodiments of the present invention, the opening coefficients can be sorted in descending order from large to small, and opened in sequence until the energy supply demand is met at the current moment. There is no limitation on this.
[0067] The embodiment of the present invention obtains the historical energy consumption power, predicted output power, and power factor of each device in the park, and at the same time analyzes the demand power and the inductive load ratio. The demand power represents the demand situation at the current moment. Since the characteristics of inductive loads and resistive loads are inconsistent, the inductive load ratio can calculate the form of the load to obtain a data basis; further, the energy is divided into power-type energy units and energy-type energy units. Since the energy-type energy unit responds slowly, the supply replenishment judgment is made based on the power of the power-type energy unit and the inductive load; and when determining to replenish the supply, the energy-type energy unit to be opened is determined by calculating the response demand degree and the energy supply priority. The embodiment of the present invention can effectively combine the complexity and diversity of energy types and the diversity of loads, divide the energy types into power-type energy units and energy-type energy units, and divide the loads into inductive loads and resistive loads, to achieve reasonable and reliable classification analysis, so that suitable energy units can be selected for allocation, so as to optimize the supply and demand relationship of electric energy in the park, improve the efficiency of energy unit demand allocation in the park, reduce energy waste, and enhance the convenience of energy regulation between different parks.
[0068] It should be noted that the order in which the embodiments of the present invention are described above is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.
[0069] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.
Claims
1. A multi-type energy demand optimization method based on energy units, characterized in that: The method comprises: Obtain the park's historical energy consumption, predicted output power, and power factor of each device at each detection time; Determine the required power by combining the historical energy consumption and predicted output power 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; divide power-type energy units into energy-type energy units based on response time; and determine whether to provide additional supply based on the output power of the power-type energy unit and the power of the inductive load. When replenishing the supply, the initial intervention requirement is determined based on the current inductive load ratio, the power of the current resistive load of each device, and the required power. The cumulative coefficient is obtained based on the current energy storage margin and the power required by the newly added inductive device. The response requirement of the device is determined by combining the cumulative coefficient and the initial intervention requirement. According to the response time and power reserve of each energy type energy unit, the energy supply priority of the energy type energy unit to the equipment is determined, and the energy type energy unit to be opened is determined in combination with the response demand and the energy supply priority.
2. The multi-type energy demand optimization method based on energy units according to claim 1, characterized in that: The determination of the required power by combining the historical energy consumption power and the predicted output power at each detection moment includes: The difference between the predicted output power and the historical energy consumption power at the same detection moment is taken as the required power at the corresponding moment.
3. The multi-type energy demand optimization method based on energy units according to claim 1, characterized in that: The method of determining the inductive load ratio of the park based on the power factors of all devices at the same detection moment includes: At the same detection moment, calculate the difference between the unit value 1 and the power factor of each device as the inductive ratio of the corresponding device; The average of the inductive load ratios of all devices is used as the inductive load ratio of the park.
4. The multi-type energy demand optimization method based on energy units according to claim 1, characterized in that: The division of power-type energy units and energy-type energy units according to response time includes: Energy units with millisecond response time are regarded as power-type energy units, and energy units with response time exceeding millisecond level are regarded as energy-type energy units, where millisecond level means that the response time is within 1000 milliseconds.
5. The multi-type energy demand optimization method based on energy units according to claim 1, characterized in that: The determining whether to perform supply supplementation based on the output power of the power-type energy unit and the power of the inductive load includes: When the output power of the power-type energy unit is greater than or equal to the power of the inductive load, determining not to supply supplementary power; When the output power of the power-type energy unit is less than the power of the inductive load, it is determined to perform supply supplementation.
6. The multi-type energy demand optimization method based on energy units according to claim 1, characterized in that: The initial intervention requirement level at the current moment is obtained based on the inductive load ratio at the current moment, combined with the current power of the resistive load of each device and the required power, including: Calculate the ratio of the power of the resistive load of each device to the required power at the current moment as the resistive demand ratio; The difference between the unit value 1 and the inductive load ratio is taken as the resistive load ratio; Calculate the product of the resistive demand ratio and the resistive load ratio, and use the sum of this product and the inductive load ratio as the initial intervention demand level.
7. The multi-type energy demand optimization method based on energy units according to claim 1, characterized in that: The cumulative coefficient is obtained according to the current energy storage margin and the power required by the newly incorporated inductive device, including: Calculate the difference between the total electric 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 all detection moments to the current moment as the energy storage margin; The sum of the total energy consumption of all inductive loads at the current moment in the shortest response time is taken as the inductive load energy consumption; Calculate the difference between the energy storage margin and the energy consumption of the inductive load, normalize the inverse of the difference, and use it as the cumulative coefficient.
8. The multi-type energy demand optimization method based on energy units according to claim 1, characterized in that: The step of determining the response requirement of the device by combining the cumulative coefficient and the initial intervention requirement includes: The product of the cumulative coefficient and the initial intervention requirement is calculated and normalized as the response requirement of the device at the current moment.
9. The multi-type energy demand optimization method based on energy units according to claim 1, characterized in that: The step of determining the energy supply priority of each energy type energy unit to the device based on the response time and the power reserve of each energy type energy unit includes: The ratio of the electric energy reserve and the response time is calculated and normalized to serve as the energy supply priority of the energy-type energy unit.
10. The multi-type energy demand optimization method based on energy units according to claim 1, characterized in that: The step of determining the energy type energy unit to be turned on by combining the response demand degree and the energy supply priority degree includes: Calculate the product of the response demand degree and the energy supply priority degree, and normalize it as the activation coefficient of the corresponding energy-type energy unit; The energy type energy unit whose opening coefficient is greater than the preset coefficient threshold is regarded as the energy type energy unit to be opened.
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