Power distribution network mode switching method and device, electronic equipment and medium

Abstract

The embodiment of the invention provides a power distribution network mode switching method and device, electronic equipment and a medium. The method comprises the following steps: acquiring a real-time load rate of a power distribution network; determining an expected operation mode of the power distribution network according to the current time period information and / or the real-time load rate; wherein the expected operation mode comprises at least one of an electric energy storage mode, an energy consumption optimization mode and a transmission efficiency optimization mode; and when the current operation mode of the power distribution network is different from the expected operation mode, switching the current operation mode to the expected operation mode. The method can realize flexible adjustment of the operation mode of the power distribution network, optimize the energy utilization rate and improve the power transmission efficiency.

Description

Technical Field

[0001] This application relates to the field of power technology, and in particular to a method, apparatus, electronic device and medium for switching power distribution network modes. Background Technology

[0002] With the continuous growth of global energy demand and the increasing awareness of environmental protection, the power distribution network, as a key link in power transmission and distribution, directly affects the stability and economy of the entire power system through its operating efficiency and energy utilization rate.

[0003] However, current power distribution network systems typically operate in fixed modes, making it difficult to adapt to dynamically changing load demands. This fixed operating mode makes it difficult to strike a balance between efficient transmission and low energy consumption, potentially leading to either energy waste or excessively low transmission efficiency. Summary of the Invention

[0004] This application provides a distribution network mode switching method, apparatus, electronic device, and medium to at least solve one of the above-mentioned problems.

[0005] According to a first aspect of this application, a method for switching distribution network modes is provided, comprising:

[0006] Obtain the real-time load rate of the power distribution network;

[0007] Based on the current time period information and / or the real-time load rate, determine the desired operating mode of the distribution network; wherein the desired operating mode includes at least one of the following: energy storage mode, energy consumption optimization mode, and transmission efficiency optimization mode;

[0008] When the current operating mode of the distribution network differs from the desired operating mode, the current operating mode is switched to the desired operating mode.

[0009] In one implementation, obtaining the real-time load rate of the distribution network includes:

[0010] The real-time load factor of the distribution network is obtained by the ratio between the real-time active power of the distribution network and the maximum carrying capacity of the distribution network; wherein the real-time active power is determined based on the real-time current and real-time voltage of the distribution network.

[0011] In one implementation, determining the desired operating mode of the distribution network based on the current time period information and / or the real-time load rate includes:

[0012] Determine whether the current time period information is within the preset peak time period range;

[0013] If the current time period information is within the peak time period range, the expected operating mode of the distribution network is determined based on the real-time load rate.

[0014] In one implementation, determining the desired operating mode of the distribution network based on the real-time load rate includes:

[0015] If the real-time load rate reaches the preset load rate, the desired operating mode of the distribution network is determined as the energy consumption optimization mode; wherein, the energy consumption optimization mode is used to indicate that the current voltage of the distribution network is adjusted according to a preset voltage reduction coefficient so that the current voltage is lower than the preset voltage value.

[0016] or,

[0017] If the real-time load rate does not reach the preset load rate, the desired operating mode of the distribution network is determined as the transmission efficiency optimization mode; wherein, the transmission efficiency optimization mode is used to indicate that the current current of the distribution network is adjusted according to the preset current optimization coefficient so that the current current reaches the preset current value.

[0018] In one implementation, it further includes:

[0019] If the current time period information is in the off-peak period range, the expected operation mode of the distribution network is determined as the transmission efficiency optimization mode, and / or as the energy storage mode;

[0020] The energy storage mode is used to indicate the storage of electrical energy from the distribution network into an energy storage system.

[0021] In one implementation, after switching the current operating mode to the desired operating mode, the method further includes:

[0022] If the switched operating mode is energy storage mode, the charging power is determined based on the stored energy in the energy storage system and the remaining power of the distribution network.

[0023] The electrical energy used to charge the energy storage system is determined based on the charging power, and the energy storage system is charged based on the determined electrical energy.

[0024] In one implementation, the method further includes:

[0025] Based on the real-time load rate, determine the harmonic content of the current signal and / or voltage signal of the distribution network, and calculate the total harmonic distortion rate of the distribution network based on the harmonic content.

[0026] If the total harmonic distortion rate reaches a preset distortion rate threshold, an abnormal alarm will be triggered.

[0027] According to a second aspect of this application, a power distribution network mode switching device is provided, comprising:

[0028] The acquisition module is used to acquire the real-time load rate of the power distribution network;

[0029] The mode determination module is used to determine the desired operating mode of the distribution network based on the current time period information and / or the real-time load rate; wherein the desired operating mode includes at least one of the following: energy storage mode, energy consumption optimization mode, and transmission efficiency optimization mode;

[0030] The mode switching module is used to switch the current operating mode to the desired operating mode when the current operating mode of the distribution network is different from the desired operating mode.

[0031] In one embodiment, the acquisition module is specifically used to acquire the real-time load rate of the distribution network based on the ratio between the real-time active power of the distribution network and the maximum carrying capacity of the distribution network; wherein the real-time active power is determined based on the real-time current and real-time voltage of the distribution network.

[0032] In one implementation, the pattern determination module includes:

[0033] The judgment unit is used to determine whether the current time period information is within the preset peak time period range;

[0034] The determining unit is used to determine the desired operating mode of the distribution network based on the real-time load rate if the current time period information is within the peak time period interval.

[0035] In one implementation, the determining unit includes:

[0036] The first mode determination subunit is used to determine the desired operating mode of the distribution network as the energy consumption optimization mode when the real-time load rate reaches the preset load rate; wherein, the energy consumption optimization mode is used to indicate that the current voltage of the distribution network is adjusted according to a preset voltage reduction coefficient so that the current voltage is lower than the preset voltage value.

[0037] or,

[0038] The second mode determination subunit is used to determine the desired operating mode of the distribution network as the transmission efficiency optimization mode when the real-time load rate does not reach the preset load rate; wherein, the transmission efficiency optimization mode is used to instruct the current of the distribution network to be adjusted according to the preset current optimization coefficient so that the current current reaches the preset current value.

[0039] In one embodiment, the determining unit further includes:

[0040] The third mode determination subunit is used to determine the desired operating mode of the distribution network as the transmission efficiency optimization mode and / or the energy storage mode when the current time period information is in the off-peak time period interval.

[0041] The energy storage mode is used to indicate the storage of electrical energy from the distribution network into an energy storage system.

[0042] In one embodiment, the apparatus further includes:

[0043] The power determination module is used to determine the charging power based on the stored electrical energy in the energy storage system and the remaining power of the distribution network when the operating mode is switched to the energy storage mode.

[0044] A charging module is used to determine the electrical energy to be charged into the energy storage system based on the charging power, and to charge the energy storage system based on the determined electrical energy.

[0045] In one embodiment, the apparatus further includes:

[0046] The calculation module is used to determine the harmonic content of the current signal and / or voltage signal of the distribution network based on the real-time load rate, and to calculate the total harmonic distortion rate of the distribution network based on the harmonic content.

[0047] An alarm module is used to trigger an abnormal alarm when the total harmonic distortion rate reaches a preset threshold.

[0048] According to a third aspect of this application, an embodiment of this application provides an electronic device, including: a memory and a processor;

[0049] The memory stores computer-executed instructions;

[0050] The processor executes computer execution instructions stored in the memory, causing the processor to perform various possible implementations of the first aspect described above.

[0051] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement various possible implementations of the first aspect above.

[0052] Fifthly, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements various possible implementations of the first aspect described above.

[0053] The distribution network mode switching method, apparatus, electronic device, and medium provided in this application obtain the real-time load rate of the distribution network and determine the desired operating mode of the distribution network based on the current time period information and / or the real-time load rate. The desired operating mode includes at least one of the following: energy storage mode, energy consumption optimization mode, and transmission efficiency optimization mode. When the current operating mode of the distribution network differs from the desired operating mode, the current operating mode is switched to the desired operating mode. In this process, by monitoring the real-time load of the distribution network and combining it with time period information (such as peak and off-peak periods determined based on historical operating data of the distribution network), the desired operating mode of the distribution network is determined (e.g., adjusting to energy storage mode for energy storage during off-peak periods or when the real-time load is low), thereby achieving flexible adjustment of the distribution network operating mode, optimizing energy utilization, and improving power transmission efficiency. Attached Figure Description

[0054] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0055] Figure 1 This is a schematic diagram of a possible scenario provided for an embodiment of this application;

[0056] Figure 2 A flowchart illustrating the power distribution network mode switching method provided in this application embodiment;

[0057] Figure 3 One of the flowcharts for another power distribution network mode switching method provided in the embodiments of this application;

[0058] Figure 4 A second schematic flowchart illustrating another distribution network mode switching method provided in this application embodiment;

[0059] Figure 5 A third schematic flowchart of another power distribution network mode switching method provided in the embodiments of this application;

[0060] Figure 6 A schematic diagram of the structure of a power distribution network mode switching device provided in an embodiment of this application;

[0061] Figure 7 A schematic diagram of another power distribution network mode switching device provided in this application embodiment;

[0062] Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0063] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0064] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0065] In this application embodiment, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, a--c, bc, or abc, where a, b, and c can be single or multiple.

[0066] Figure 1 This application provides a possible application scenario illustration, such as... Figure 1 As shown, Figure 1 As shown, specific application scenarios of this application may include terminal device 110 and server 120. Optionally, terminal device 110 is used for monitoring and controlling the distribution network and communicating with external devices. Optionally, terminal device may be equipped with sensors and measuring devices to collect power operating parameters of the distribution network in real time, such as current, voltage, power factor, and frequency, and transmit these power operating parameters to server 120 for processing. Optionally, server 120 may be a device specifically used to manage or switch the operation mode of the distribution network. After receiving the power operating parameters sent by terminal device 110, server 120 obtains the real-time load of the distribution network based on the power operating parameters, and identifies the desired operation mode of the distribution network in combination with the information of the current time period, thereby realizing the switching of the distribution network operation mode (for example, it can be switched directly on the server side, or the switching can be completed by sending control commands to terminal device 110).

[0067] Optionally, server 120 can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms; terminal device 110 can include, but is not limited to, computers, smartphones, tablets, e-book readers, Moving Picture Experts Group audio layer III (MP3) players, Moving Picture Experts Group audio layer IV (MP4) players, portable computers, in-vehicle computers, wearable devices, desktop computers, set-top boxes, smart TVs, etc.

[0068] Existing power distribution network systems often operate in a fixed mode, making it difficult to effectively balance efficient power transmission with low-energy management. Specifically, the operating mode of the power distribution network system is fixed or relies on manual adjustment, rather than being flexibly adjusted according to changes in actual power demand. This leads to significant energy waste in some situations and difficulty in achieving efficient power transmission in others.

[0069] In view of this, the distribution network mode switching method provided in this application obtains the real-time load rate of the distribution network and determines the desired operating mode of the distribution network based on the current time period information and / or the real-time load rate. The desired operating mode includes at least one of the following: energy storage mode, energy consumption optimization mode, and transmission efficiency optimization mode. When the current operating mode of the distribution network differs from the desired operating mode, the current operating mode is switched to the desired operating mode. In this process, by monitoring the real-time load of the distribution network and combining it with time period information (such as peak periods and off-peak periods determined based on historical operating data of the distribution network), the desired operating mode of the distribution network is determined (such as adjusting to energy storage mode for energy storage during off-peak periods or when the real-time load is low), thereby achieving flexible adjustment of the distribution network operating mode, optimizing energy utilization, and improving power transmission efficiency.

[0070] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0071] Figure 2 A flowchart illustrating a distribution network mode switching method provided in this application is shown below. Figure 2 As shown, the method includes steps S201-S203:

[0072] Step S201: Obtain the real-time load rate of the distribution network.

[0073] In this embodiment, the real-time load rate is an indicator used to assess the current load status of the distribution network. By monitoring the real-time load rate of the distribution network and combining it with subsequent steps to switch the distribution network operation mode, resource allocation can be optimized and system efficiency improved.

[0074] Optionally, the real-time load factor can be calculated based on the power operation parameters of the distribution network. For example, the real-time load factor can be the ratio between the actual load of the distribution network or power system and its maximum carrying capacity at a certain moment, in order to assess the current load situation of the power grid. Here, the load is the power consumed by the distribution network. During the distribution network mode switching process, active power is mainly considered (active power is the energy that is actually consumed or converted into other forms of energy (such as heat, light, mechanical energy, etc.), which can directly affect the energy balance and efficiency of the distribution network).

[0075] In one embodiment, step S201 can obtain the real-time load factor of the distribution network based on the ratio between the real-time active power of the distribution network and the maximum carrying capacity of the distribution network; wherein the real-time active power is determined based on the real-time current and real-time voltage of the distribution network.

[0076] For example, the real-time load factor L(t) can be calculated using the following formula:

[0077] L(t) = P(t) / P max

[0078] P(t) = I(t) × V(t) × cosφ,

[0079] In the formula, P(t) represents the real-time active power of the distribution network, P max denoted by , I(t) represents the maximum carrying capacity of the distribution network, V(t) represents the real-time current of the distribution network, and cosφ represents the power factor.

[0080] In another implementation, the real-time load factor of the distribution network can be calculated by monitoring the load conditions of multiple key nodes in the distribution network. For example, monitoring equipment or sensors can be installed at multiple key nodes (such as substations, distribution boxes, and important user access points) to collect data such as current, voltage, and power factor of each node in real time. For each monitored node, its local real-time active power can be calculated (which can be obtained by multiplying the node's real-time current and voltage by the power factor), and the load factor of each node can be calculated using the ratio of the node's real-time active power to its maximum carrying capacity. Then, the load factors of all monitored nodes are weighted and averaged to calculate the real-time load factor of the entire distribution network. Optionally, the weighting factor can be determined based on factors such as the importance of the nodes and their load capacity.

[0081] Step S202: Determine the desired operating mode of the distribution network based on the current time period information and / or real-time load rate; wherein the desired operating mode includes at least one of the following: energy storage mode, energy consumption optimization mode, and transmission efficiency optimization mode.

[0082] In this embodiment, a suitable power distribution network operation mode can be selected based on the current time period information and / or real-time load rate. In this embodiment, the desired operation modes include the following three: energy storage mode, for example, storing excess energy during off-peak hours or when the load rate is low for use during peak hours; energy consumption optimization mode, for example, reducing overall energy consumption by optimizing energy distribution and usage during high load rates or peak hours; and transmission efficiency optimization mode, for example, improving energy transmission efficiency by adjusting current or voltage during power transmission.

[0083] For example, the desired operating mode of the distribution network can be determined by combining information from the current time period and the real-time load rate. For instance, when L(t) ≥ L... high (Real-time load rate L(t) is greater than the preset load rate L) high (Those skilled in the art can determine this value based on practical applications or empirical values) and t∈T peak (Current time t is within the peak time interval T) peak Within a given timeframe (where a person skilled in the art can determine this value based on practical application or experience), the desired operating mode is the energy-optimized mode, i.e., the low-energy-consumption mode. Otherwise, it can be switched to the divisor efficiency-optimized mode, i.e., the high-efficiency transmission mode.

[0084] Step S203: When the current operating mode of the distribution network is different from the desired operating mode, switch the current operating mode to the desired operating mode.

[0085] In this embodiment, the desired operating mode of the distribution network is determined using the current time period information and real-time load rate. By comparing the current operating mode of the distribution network with the desired operating mode, if they differ, a mode switching operation is performed to adjust the current operating mode to the desired operating mode. During the mode switching process, the current operating mode can be switched to the desired operating mode by adjusting the transformer taps, enabling or disabling energy storage devices, or changing the power dispatch strategy.

[0086] Optionally, after the mode switch, the operating status of the distribution network can be continuously monitored. For example, the operating mode can be dynamically adjusted according to new load data and time period information, so that the distribution network can always be in a suitable operating state, effectively solving the problems of energy waste or low power transmission efficiency in the current distribution network system.

[0087] Figure 3 This is a flowchart illustrating another distribution network mode switching method provided in this application embodiment. Based on the above embodiments, this embodiment identifies whether the current time period is a peak or off-peak period and determines the desired operating mode of the distribution network in conjunction with real-time load conditions, thereby further optimizing power resource allocation. Specifically, as... Figure 3 As shown, the method includes steps S301-S303:

[0088] Step S301: Obtain the real-time load rate of the distribution network.

[0089] It should be noted that step S301 and Figure 2 The steps in step S201 are similar, and the relevant explanations will not be repeated here.

[0090] Step S302: Determine whether the current time period information is within the preset peak time period range. If the current time period information is within the peak time period range, proceed to step S303; otherwise, end the process and operate according to the existing technology's operating mode.

[0091] In this embodiment, the current time period information is first determined as the initial condition for power distribution network operation mode identification and switching. For example, based on the preset peak time period interval T... peak Off-peak period interval T off (In this embodiment, the off-peak time interval can be a low-peak time interval determined based on empirical values, or other time intervals of other off-peak time intervals), determine whether the current time t satisfies: t∈T peak Or t∈T off It can generate mode switching suggestions. The peak time period can be represented as:

[0092] T peak ={t|t start≤t≤t end}

[0093] Where t start and t end These represent the maximum and minimum values ​​within the peak time interval. In some embodiments, if the current time t satisfies t∈T peak If so, the mode switching flag F=1 will be output; otherwise, F=0.

[0094] For example, peak time intervals can be periods of high load on the distribution network, such as times of high electricity demand. These peak time intervals can be obtained by analyzing a large amount of historical data, or by training a prediction model using a large amount of historical data to set peak time intervals. The same applies to off-peak time intervals discussed later. Peak and off-peak time intervals can be specific time periods within a day, or specific days (such as the difference between weekdays and weekends). For example, peak time intervals can include morning peaks and evening peaks. The morning peak, typically between 7:00 and 9:00, occurs when electricity users begin their day's activities, increasing household and commercial electricity demand. The evening peak, typically between 17:00 and 20:00, occurs when electricity users finish their work, increasing household electricity demand, including the use of lighting, cooking, and entertainment equipment.

[0095] Step S303: Determine the desired operating mode of the distribution network based on the real-time load rate.

[0096] Next, we will further describe the feasible implementation methods for determining the desired operating mode of the distribution network based on the real-time load rate in step S303 above. For example... Figure 4 As shown, step S303 is further divided into steps S3031-S3033.

[0097] Step S3031: Determine whether the real-time load rate has reached the preset load rate. If it has reached the preset load rate, proceed to step S3032; otherwise, proceed to step S3033.

[0098] Optionally, in step S3032, the desired operating mode of the distribution network is determined as the energy consumption optimization mode. The energy consumption optimization mode is used to instruct the current voltage of the distribution network to be adjusted according to a preset voltage reduction coefficient, so that the current voltage is lower than a preset voltage value.

[0099] When the monitored information falls within the peak period range, this embodiment further determines the current real-time load rate of the distribution network. When the real-time load rate reaches a preset load rate, the desired operating mode of the distribution network is determined as the energy consumption optimization mode, i.e., the low-energy consumption mode. The energy consumption optimization mode can be used to instruct the power system (which can be a server, terminal equipment, or other power system control equipment) to adjust the current voltage level of the distribution network according to a preset voltage reduction coefficient, so that the voltage is reduced to below a preset voltage value (those skilled in the art can determine this voltage reduction coefficient and preset voltage value based on actual application or experience), thereby reducing energy loss during power transmission.

[0100] In this energy optimization mode, the actuators in the distribution network (such as transformers, which can be used to adjust taps to regulate voltage levels) automatically adjust the voltage according to the mode's instructions to adapt to the current load conditions. This dynamic adjustment not only helps improve the operating efficiency of the power grid but also effectively reduces energy consumption under high load conditions, lowers operating costs, and extends equipment lifespan, providing effective assurance for the overall efficiency and economy of the power system.

[0101] Optionally, in step S3033, the desired operating mode of the distribution network is determined as the transmission efficiency optimization mode. The transmission efficiency optimization mode is used to instruct the current of the distribution network to be adjusted according to a preset current optimization coefficient, so that the current current reaches a preset current value.

[0102] Accordingly, when the monitoring information for the current period falls within the peak period and the distribution network has not reached the preset load rate, the desired operating mode of the distribution network can be determined as the transmission efficiency optimization mode. Under this transmission efficiency optimization mode, the distribution network's actuators (such as automatic current regulators, semiconductor switching devices, etc.) automatically adjust the current according to the mode's indications to improve transmission efficiency.

[0103] For example, when L(t) < L high (In some embodiments, the high-efficiency transmission mode may also be triggered when F=0, increasing the transmission current to I.) high =I nominal ×(1+β), where β is the current optimization coefficient, which can be determined based on empirical values.

[0104] Optionally, in high-efficiency transmission mode, a dynamic impedance matching algorithm can also be used to adjust the line impedance Z. line The following formula can be satisfied:

[0105] Z line =V source 2 / P target

[0106] In the formula, V source P is the source voltage. target The target power to be transmitted (i.e., the power after adjusting the current).

[0107] Step S304: When the current operating mode of the distribution network is different from the desired operating mode, switch the current operating mode to the desired operating mode.

[0108] It should be noted that step S304 and Figure 2 The process is similar to step S203, and the relevant explanations will not be repeated here.

[0109] In one alternative implementation, power transmission optimization or energy storage can also be performed during off-peak hours to improve power transmission efficiency or optimize energy utilization. Specifically, such as... Figure 5 As shown, compared to Figure 3 For example, during the judgment process in step S302, if the current time period information is not within the peak time period range, that is, the current time period information is within the off-peak time period range, the following step S305 can also be executed.

[0110] Step S305: Determine the desired operating mode of the distribution network as the transmission efficiency optimization mode, and / or, as the energy storage mode. The energy storage mode is used to indicate that the electrical energy of the distribution network will be stored in an energy storage system.

[0111] In this embodiment, for off-peak periods, the desired operating mode of the distribution network is determined to be either transmission efficiency optimization mode or energy storage mode. Energy storage can also be performed simultaneously with transmission efficiency optimization. By optimizing power transmission parameters (such as increasing current) during off-peak periods, overall power transmission efficiency can be effectively improved. Secondly, energy storage mode allows for the storage of excess energy during periods of lower power demand, providing additional support for subsequent peak periods, balancing supply and demand pressures, and further optimizing energy use.

[0112] In some embodiments, under energy storage mode, the supply and demand of the distribution network can be further balanced by determining the electrical energy to charge the energy storage system. Specifically, after switching the current operating mode to the desired operating mode in the above steps, the following operations can also be performed: if the switched operating mode is energy storage mode, the charging power is determined based on the stored electrical energy in the energy storage system and the remaining power of the distribution network. The electrical energy used to charge the energy storage system is determined based on the charging power, and the energy storage system is charged based on the determined electrical energy.

[0113] For example, the charging amount Ec during off-peak hours harge It can be calculated using the following formula:

[0114] Ec harge =min(P surplus (t),E max -E current )

[0115] In the formula, P surplus (t) represents the residual power, E max E represents the maximum energy storage capacity of the energy storage system. current The current energy storage capacity of the energy storage system.

[0116] In some embodiments, the energy storage system can also discharge during peak hours, with a discharge amount E discharge It can be obtained using the following formula:

[0117] E discharge =max(P deficit (t),E current )

[0118] In the formula, P deficit Let L(t) be the additional power required by the distribution network. Optionally, during the discharge process, the real-time load rate of the distribution network is monitored to ensure that the real-time load rate L(t) ≤ L safe (L safe As a safe load rate threshold, those skilled in the art can adjust L based on actual applications. safe (Settings to be configured).

[0119] In this embodiment, when the distribution network switches to energy storage mode, the appropriate charging power can be determined based on the current stored energy level in the energy storage system and the remaining power of the distribution network. This ensures high efficiency and safety during the energy charging process and reduces the problems of overcharging or resource waste.

[0120] In some embodiments, alarm processing under abnormal conditions can be achieved by analyzing the total harmonic distortion rate (THD) of the distribution network, thereby improving the safety of the distribution network. Specifically, the method may further include the following steps: determining the harmonic content of the current signal and / or voltage signal of the distribution network based on the real-time load rate, and calculating the THD of the distribution network based on the harmonic content. If the THD reaches a preset distortion rate threshold, an abnormal alarm is triggered.

[0121] For example, the harmonic content of current and / or voltage signals in a distribution network can be analyzed using Fourier transform, and the total harmonic distortion (THD) can be calculated using the harmonic content. This embodiment uses the harmonic content of a current signal as an example for illustration. The formula for calculating the THD of a current signal is as follows:

[0122]

[0123] In the formula, In In represents the harmonic content of the current signal (the amplitude of the nth harmonic in the current signal), and I1 represents the amplitude of the fundamental wave (i.e., the first harmonic) in the current signal. Optionally, when THD ≥ THDn limit An abnormal alarm is triggered when (i.e., a preset distortion rate threshold is set based on historical data or experience values).

[0124] By monitoring the harmonic content of the distribution network in real time and issuing an alarm immediately when the total harmonic distortion rate exceeds the safety threshold, it is helpful to quickly identify and respond to abnormal situations in the power system, thereby solving possible abnormal problems during the switching of operating modes.

[0125] In some implementations, the operation report (characterized by the distribution network operation efficiency η) can also be generated using the following formula:

[0126] η = P output / P input ×100%

[0127] In the formula, P input For input power, P output This represents the output power. This method allows users to gain a more comprehensive understanding of the distribution network's operational efficiency during dynamic switching of operating modes, facilitating subsequent energy management and further optimization of transmission efficiency.

[0128] Figure 6 This application provides a power distribution network mode switching device, such as... Figure 6 As shown, the device 600 includes an acquisition module 601, a mode determination module 602, and a mode switching module 603, wherein...

[0129] The acquisition module 601 is used to acquire the real-time load rate of the distribution network;

[0130] The mode determination module 602 is used to determine the desired operating mode of the distribution network based on the current time period information and / or real-time load rate; wherein the desired operating mode includes at least one of the following: energy storage mode, energy consumption optimization mode and transmission efficiency optimization mode;

[0131] The mode switching module 603 is used to switch the current operating mode to the desired operating mode when the current operating mode of the distribution network is different from the desired operating mode.

[0132] In one embodiment, the acquisition module 601 is specifically used to acquire the real-time load rate of the distribution network based on the ratio between the real-time active power of the distribution network and the maximum carrying capacity of the distribution network; wherein the real-time active power is determined based on the real-time current and real-time voltage of the distribution network.

[0133] In one implementation, the pattern determination module 602 includes:

[0134] The judgment unit is used to determine whether the current time period information is within the preset peak time period range;

[0135] The determination unit is used to determine the desired operating mode of the distribution network based on the real-time load rate if the current time period information is within the peak period range.

[0136] In one implementation, the determining unit includes:

[0137] The first mode determination sub-unit is used to determine the desired operating mode of the distribution network as the energy consumption optimization mode when the real-time load rate reaches the preset load rate; wherein, the energy consumption optimization mode is used to instruct the current voltage of the distribution network to be adjusted according to the preset voltage reduction coefficient so that the current voltage is lower than the preset voltage value.

[0138] or,

[0139] The second mode determination subunit is used to determine the desired operating mode of the distribution network as the transmission efficiency optimization mode when the real-time load rate does not reach the preset load rate. The transmission efficiency optimization mode is used to instruct the current of the distribution network to be adjusted according to the preset current optimization coefficient so that the current current reaches the preset current value.

[0140] In one embodiment, the determining unit further includes:

[0141] The third mode determination subunit is used to determine the desired operating mode of the distribution network as the transmission efficiency optimization mode and / or the energy storage mode when the information of the current time period is in the off-peak time period interval.

[0142] Among them, the energy storage mode is used to indicate the storage of electrical energy from the distribution network into the energy storage system.

[0143] In one embodiment, the apparatus further includes:

[0144] The power determination module is used to determine the charging power based on the stored electrical energy in the energy storage system and the remaining power of the distribution network when the operating mode is switched to the energy storage mode.

[0145] The charging module is used to determine the electrical energy to be charged into the energy storage system based on the charging power, and to charge the energy storage system based on the determined electrical energy.

[0146] In one embodiment, the apparatus further includes:

[0147] The calculation module is used to determine the harmonic content of the current signal and / or voltage signal of the distribution network based on the real-time load rate, and to calculate the total harmonic distortion rate of the distribution network based on the harmonic content.

[0148] The alarm module is used to trigger an abnormal alarm when the total harmonic distortion rate reaches a preset threshold.

[0149] The apparatus provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0150] Figure 7 This is a schematic diagram of another distribution network mode switching device provided in the embodiments of this application, such as... Figure 7 As shown, the device may include a control module 701, a time separation module 702, a monitoring module 703, and an energy storage module 704, and can be used to adjust the system operating mode based on the real-time load of the distribution network. The control module 701 may include a load monitoring unit 7011 and a mode switching unit 7012. The load monitoring unit 7011 monitors the real-time load of the distribution network. The mode switching unit 7012 can switch the current operating mode according to the determined desired operating mode of the distribution network. The time separation module 702 can be used to adopt a high-efficiency transmission mode during off-peak hours and a low-energy consumption mode during peak hours. The monitoring module 703 monitors abnormal states of the distribution network and can generate operating reports. The energy storage module 704 prevents overcharging or over-discharging, extends the lifespan of the energy storage equipment (i.e., the energy storage system mentioned above), and ensures system stability. In the above possible structures, efficient energy utilization is achieved through dynamic load rate and time-based dual-factor decision-making, avoiding resource waste caused by traditional fixed modes. Furthermore, by combining power factor and time period information, misjudgment based on a single threshold is avoided, improving the accuracy of mode switching.

[0151] Figure 8 This is a schematic diagram of the structure of the electronic device provided in this application. The electronic device can be a server or terminal device in the aforementioned application scenario. Figure 8 As shown, the electronic device 800 provided in this embodiment includes at least one processor 801 and a memory 802. Optionally, the device 800 further includes a communication component 803. The processor 801, memory 802, and communication component 803 are connected via a bus.

[0152] In a specific implementation, at least one processor 801 executes computer execution instructions stored in memory 802, causing at least one processor 801 to perform the above-described method.

[0153] The specific implementation process of processor 801 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0154] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0155] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0156] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0157] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0158] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0159] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0160] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0161] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0162] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0163] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0164] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0165] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0166] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A method for switching distribution network modes, characterized in that, include: Obtain the real-time load rate of the power distribution network; Based on the current time period information and / or the real-time load rate, determine the desired operating mode of the distribution network; wherein the desired operating mode includes at least one of the following: energy storage mode, energy consumption optimization mode, and transmission efficiency optimization mode; When the current operating mode of the distribution network differs from the desired operating mode, the current operating mode is switched to the desired operating mode.

2. The method according to claim 1, characterized in that, The acquisition of the real-time load rate of the distribution network includes: The real-time load factor of the distribution network is obtained by the ratio between the real-time active power of the distribution network and the maximum carrying capacity of the distribution network; wherein the real-time active power is determined based on the real-time current and real-time voltage of the distribution network.

3. The method according to claim 1 or 2, characterized in that, Determining the desired operating mode of the distribution network based on the current time period information and / or the real-time load rate includes: Determine whether the current time period information is within the preset peak time period range; If the current time period information is within the peak time period range, the expected operating mode of the distribution network is determined based on the real-time load rate.

4. The method according to claim 3, characterized in that, Determining the desired operating mode of the distribution network based on the real-time load rate includes: If the real-time load rate reaches the preset load rate, the desired operating mode of the distribution network is determined as the energy consumption optimization mode; wherein, the energy consumption optimization mode is used to indicate that the current voltage of the distribution network is adjusted according to a preset voltage reduction coefficient so that the current voltage is lower than the preset voltage value. or, If the real-time load rate does not reach the preset load rate, the desired operating mode of the distribution network is determined as the transmission efficiency optimization mode; wherein, the transmission efficiency optimization mode is used to indicate that the current current of the distribution network is adjusted according to the preset current optimization coefficient so that the current current reaches the preset current value.

5. The method according to claim 3, characterized in that, Also includes: If the current time period information is in the off-peak period range, the expected operation mode of the distribution network is determined as the transmission efficiency optimization mode, and / or as the energy storage mode; The energy storage mode is used to indicate the storage of electrical energy from the distribution network into an energy storage system.

6. The method according to any one of claims 1, 2, 4, or 5, characterized in that, After switching the current operating mode to the desired operating mode, the process also includes: If the switched operating mode is energy storage mode, the charging power is determined based on the stored energy in the energy storage system and the remaining power of the distribution network. The electrical energy used to charge the energy storage system is determined based on the charging power, and the energy storage system is charged based on the determined electrical energy.

7. The method according to any one of claims 1, 2, 4, or 5, characterized in that, Also includes: Based on the real-time load rate, determine the harmonic content of the current signal and / or voltage signal of the distribution network, and calculate the total harmonic distortion rate of the distribution network based on the harmonic content. If the total harmonic distortion rate reaches a preset distortion rate threshold, an abnormal alarm will be triggered.

8. A power distribution network mode switching device, characterized in that, include: The acquisition module is used to acquire the real-time load rate of the power distribution network; The mode determination module is used to determine the desired operating mode of the distribution network based on the current time period information and / or the real-time load rate; wherein the desired operating mode includes at least one of the following: energy storage mode, energy consumption optimization mode, and transmission efficiency optimization mode; The mode switching module is used to switch the current operating mode to the desired operating mode when the current operating mode of the distribution network is different from the desired operating mode.

9. An electronic device, characterized in that, include: Memory, processor; The memory stores computer-executed instructions; The processor executes the computer execution instructions stored in the memory, causing the processor to perform the power distribution mode switching method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the power distribution mode switching method as described in any one of claims 1-9.

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