A radial power distribution load optimization method and device of a distributed energy, a terminal device and a storage medium

Abstract

The application discloses a radial power distribution load optimization method and device of distributed energy, terminal equipment and a storage medium, and belongs to the technical field of radial power distribution load optimization. The method is as follows: power data of each feeder end in a radial topology power distribution network and source voltage are acquired, compensation currents of feeders supplying energy to the same load under a virtual ring topology structure of the power distribution network are calculated, and finally current adjustment is performed on corresponding distributed energy resources according to the compensation currents. Through implementation of the application, the problem that the existing technology improves load distribution through physical wiring and has complex structure and high cost can be solved.

Description

Technical Field

[0001] This invention relates to the field of radial power distribution load optimization technology, and in particular to a method, apparatus, terminal equipment, and storage medium for radial power distribution load optimization of distributed energy resources. Background Technology

[0002] The power distribution network mainly adopts a radial power supply mode, that is, power flows unidirectionally from the substation to the user, forming a loop-free and simple network structure. However, with the widespread access of distributed energy resources (such as photovoltaic and wind power), the traditional unidirectional power flow has gradually evolved into a bidirectional flow, increasing the complexity of the network.

[0003] In existing technologies, soft switching devices (SOPs) are typically used to improve load distribution through physical wiring. However, in practice, this method is complex and costly because it requires physical changes to the wiring layout. Summary of the Invention

[0004] This invention provides a method, apparatus, terminal equipment, and storage medium for optimizing radial power distribution load in distributed energy, which can solve the problems of complex structure and high cost in the prior art of improving load distribution through physical wiring.

[0005] An embodiment of the present invention provides a radial distribution load optimization method for distributed energy resources, comprising: Obtain power data at the end of each feeder in the radial topology distribution network, as well as the source voltage of the aforementioned distribution network; Based on the above source voltage and power data, the shared current of the feeders supplying power to the same load in the above power distribution network under the virtual ring topology is calculated. The shared current is converted to DC equivalent to obtain a compensation current, and the current of the corresponding distributed energy resources is regulated according to the compensation current.

[0006] Furthermore, before acquiring the power data at the end of each feeder in the radial topology distribution network and the source voltage of the distribution network, the process further includes: Real-time monitoring of the current of the aforementioned distributed energy resources; When the current is 0, the above power data and source voltage are acquired.

[0007] Furthermore, the acquisition of power data at the end of each feeder in the radial topology distribution network, and the source voltage of the distribution network, includes: For each feeder end, acquire power measurement data obtained from several measurements; The above power data is obtained by calculating the average of all power measurement data; Acquire source voltage measurement data from several measurements; The average value of all source voltage measurements is calculated to obtain the aforementioned source voltage.

[0008] Furthermore, based on the aforementioned source voltage and power data, the shared current of the feeders supplying power to the same load in the aforementioned distribution network under the virtual ring topology is calculated, including: From the above power data, obtain several first power data of feeders supplying power to the same load under the virtual ring topology; Based on the first power data and the source voltage mentioned above, the current of several loop topologies of feeders that supply power to the same load is calculated. For each ring topology current, the shared current of the feeder corresponding to the current ring topology current is calculated based on the current ring topology current and the power data of the corresponding feeder.

[0009] Furthermore, the aforementioned current regulation of the corresponding distributed energy resources based on the compensation current includes: Obtain the load value of the load corresponding to the above compensation current; If the above load value is lower than the preset load threshold, the current of the corresponding distributed energy resource will be reduced according to the above compensation current. Otherwise, the current of the corresponding distributed energy resource will be increased according to the compensation current mentioned above.

[0010] Based on the above method embodiments, the present invention provides corresponding apparatus embodiments; This invention provides a radial power distribution load optimization device for distributed energy resources, comprising: Data acquisition module, shared current calculation module, and distributed energy regulation module; The aforementioned data acquisition module is used to acquire power data at the end of each feeder in the radial topology distribution network, as well as the source voltage of the aforementioned distribution network. The aforementioned shared current calculation module is used to calculate the shared current of the feeders supplying power to the same load in the virtual ring topology of the aforementioned power distribution network based on the aforementioned source voltage and power data. The aforementioned distributed energy regulation module is used to perform DC equivalent conversion on the shared current to obtain a compensation current, and to regulate the current of the corresponding distributed energy resources according to the compensation current.

[0011] Furthermore, it also includes: Current monitoring module; The aforementioned current monitoring module is used to monitor the current of the distributed energy resources in real time before acquiring the power data at the end of each feeder in the radial topology distribution network and the source voltage of the distribution network. When the current is 0, the above power data and source voltage are acquired.

[0012] Furthermore, the aforementioned data acquisition module includes: The system includes a power measurement data acquisition unit, a power measurement data calculation unit, a source voltage measurement data acquisition unit, and a source voltage calculation unit. The aforementioned power measurement data acquisition unit is used to acquire power measurement data obtained from several measurements for each feeder end; The aforementioned power measurement data calculation unit is used to calculate the average value of all power measurement data to obtain the aforementioned power data; The aforementioned source voltage measurement data acquisition unit is used to acquire source voltage measurement data obtained from several measurements; The aforementioned source voltage calculation unit is used to calculate the average value of all source voltage measurement data to obtain the aforementioned source voltage.

[0013] Based on the above method embodiments, the present invention provides a corresponding terminal device embodiment; The present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the radial power distribution load optimization method for distributed energy described in any embodiment of the present invention.

[0014] Based on the above method embodiments, the present invention provides a corresponding storage medium embodiment; The present invention provides a storage medium including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the radial power distribution load optimization method for distributed energy described in any embodiment of the present invention.

[0015] The embodiments of the present invention have the following beneficial effects: This invention provides a method, apparatus, terminal device, and storage medium for radial power distribution load optimization of distributed energy resources. The method includes: acquiring power data at the end of each feeder in a radial topology distribution network, and the source voltage of the distribution network; subsequently, calculating the shared current of the feeders supplying power to the same load in a virtual ring topology based on the source voltage and power data; finally, performing DC equivalent conversion on the shared current to obtain a compensation current, and adjusting the current of the corresponding distributed energy resources based on the compensation current. Therefore, this invention does not require rewiring the distribution network; the shared current in the virtual ring topology can be calculated directly based on the feeder power data and source voltage, thereby adjusting the distributed energy resources and achieving radial power distribution load optimization. This reduces the structural complexity and cost caused by rewiring. Attached Figure Description

[0016] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating a radial power distribution load optimization method for distributed energy provided in an embodiment of the present invention.

[0018] Figure 2 This is a schematic diagram illustrating the connection between a multi-port terminal and distributed energy resources and loads according to an embodiment of the present invention.

[0019] Figure 3 This is a schematic diagram of a virtual ring topology provided in an embodiment of the present invention.

[0020] Figure 4 This is a radial feeder load balancing control topology diagram provided in an embodiment of the present invention.

[0021] Figure 5 This is a current error waveform diagram provided in an embodiment of the present invention.

[0022] Figure 6 This is a schematic diagram of the structure of a radial power distribution load optimization device for distributed energy provided in an embodiment of the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0025] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0026] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0027] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0028] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0029] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0030] See Figure 1 To address the problems of complex structure and high cost associated with improving load distribution through physical wiring in existing technologies, an embodiment of the present invention provides a radial power distribution load optimization method for distributed energy resources, comprising: Step S101: Obtain the power data at the end of each feeder in the radial topology distribution network, as well as the source voltage of the distribution network. Specifically, the aforementioned power data includes: the current at the end of the feeder, the voltage at the end of the feeder, and the feeder impedance. The aforementioned source voltage refers to the common starting point voltage of all feeders in the power distribution system.

[0031] Specifically, in a radial topology distribution network, a solid-state transformer (SST) and a distributed energy resource (DER) are sequentially installed at the end of each feeder. A schematic diagram illustrating the connection between the multi-port terminal and the distributed energy resource and load is shown below. Figure 2 As shown, Figure 2 The "electrical load" in this context refers to the load. The SST (Signal Transformer Station) is a multifunctional device integrating voltage transformation, electrical isolation, power regulation, and energy routing. It supports AC-DC hybrid systems and is commonly used in medium- and low-voltage power distribution scenarios. This is an advanced power equipment consisting of three parts: a rectifier (converting AC to DC), a dual active bridge (controlling power flow), and an inverter (converting DC back to AC). The AC side of the SST is connected to the feeder, and the DC side is used to connect to the DER (Diverter Receiver). The DER is a combined system, typically including photovoltaic panels (solar panels that generate electricity) and battery storage (that stores or discharges electricity). In this invention, it is treated as a controllable current source; that is, if its current is positive, it means that the DER is supplying current to the distribution network (i.e.,...). Figure 2 If the power is injected into the power grid (in the distribution network), a negative signal means that it is drawing power from the distribution network.

[0032] Specifically, the aforementioned power data and source voltage can be obtained by installing voltage and current sensors at the feeder end (i.e., the AC side of the SST) and the power source to obtain the current at the feeder end, the voltage at the feeder end, the feeder impedance, and the source voltage in the aforementioned power data.

[0033] It should be noted that the power data and source voltage obtained in this step are power data and source voltage under radial power supply mode.

[0034] In a preferred embodiment, before acquiring the power data at each feeder end in the radial topology distribution network and the source voltage of the distribution network, the method further includes: Real-time monitoring of the current of the aforementioned distributed energy resources; When the current is 0, the above power data and source voltage are acquired.

[0035] Specifically, to ensure the reliability of the acquired data, it is necessary to wait until the power distribution network stabilizes before collecting relevant data. Using a zero current for distributed energy resources as a condition ensures that each feeder independently supplies power to its own load, just like a traditional power network, without any external interference.

[0036] Preferably, after the current is found to be 0, a short period of time (e.g., 0.1 seconds) can be waited to ensure that the power distribution network is completely stable.

[0037] Preferably, the purpose of the above process is to ensure a smooth start-up of the entire system, avoid any disruptions, and lay a solid foundation for the next step of collecting accurate baseline data. The entire initialization process takes only about 0.1 seconds. Once the fluctuations (transients) in the network have completely disappeared, the system can smoothly proceed to the next stage, namely the relevant data acquisition stage.

[0038] Preferably, acquiring power data and source voltage when the DER current is 0 allows for the measurement of data purely determined by the original network load and topology, eliminating interference from the DER's own output on the measurement state. This ensures that the source voltage and power data, serving as the starting point for calculations, accurately reflect the inherent characteristics of the network, thereby improving the baseline accuracy of all subsequent calculations and adjustments. Secondly, it provides a stable and repeatable initial state, facilitating the safe and reliable initiation of subsequent load optimization steps.

[0039] In this preferred embodiment, the reliability of the collected data is improved by ensuring that the current of the distributed energy resource is zero before data acquisition.

[0040] In another preferred embodiment, the acquisition of power data at the end of each feeder in the radial topology distribution network, and the source voltage of the distribution network, includes: For each feeder end, acquire power measurement data obtained from several measurements; The above power data is obtained by calculating the average of all power measurement data; Acquire source voltage measurement data from several measurements; The average value of all source voltage measurements is calculated to obtain the aforementioned source voltage.

[0041] Specifically, in power systems, especially in modern distribution networks containing numerous power electronic devices (such as photovoltaic inverters and frequency converters) and fluctuating loads, electrical quantities are not constant ideal values, but rather complex signals constantly superimposed with various transient components, noise interference, and measurement errors. Short-term voltage fluctuations and current surges occur during moments such as motor startup, high-power equipment switching, and sudden changes in DER power. Simultaneously, electromagnetic interference in the measurement circuit, bit errors during communication, and electronic noise from the sensors themselves all contaminate the raw data. Furthermore, nonlinear loads generate harmonics, causing waveform distortion; in asynchronous sampling, single-point measurements cannot represent effective values. Therefore, it is necessary to filter out these transient, random, and high-frequency interference components to extract the true values ​​that represent the steady-state characteristics or trends of the power system under its current operating conditions.

[0042] Specifically, acquiring power measurement data from multiple measurements at each feeder end requires simultaneous or short-term measurements at all relevant feeder ends. This is crucial for ensuring data spatiotemporal consistency. If data at point A is from time t1 and data at point B is from time t5, even if averaged, they do not reflect the system state at the same time, and the calculated shared current will lose its physical meaning. Therefore, this typically requires the relevant measurement equipment to have clock synchronization capabilities (e.g., via BeiDou / GPS or IEEE 1588 PTP protocol) to achieve millisecond or even microsecond-level time alignment. The specific number of measurements depends on the control cycle, sampling frequency, and noise characteristics. For example, by setting the sensor sampling frequency, such as once every 0.1 seconds, multiple measurements can be achieved, yielding several power measurement data and source voltage measurement data. Too few measurements result in poor filtering; too many measurements (exceeding one control cycle) lead to data lag, affecting the real-time performance of the control.

[0043] Specifically, when calculating the average of all power measurement data and source voltage measurement data, statistical methods (such as the 3σ criterion) can be used to remove obviously erroneous outliers before calculation, and then the remaining data can be averaged. This will result in a more robust calculation.

[0044] Preferably, the source voltage is used as a fixed reference in the above process and does not change throughout the measurement process.

[0045] Preferably, averaging multiple measurements effectively filters out the effects of transient fluctuations, measurement noise, or instantaneous interference in the power grid. This ensures that the data used subsequently is stable and reliable, thereby enhancing the overall solution's anti-interference capability and decision-making robustness, and avoiding erroneous adjustments due to errors in a single measurement.

[0046] In this preferred embodiment, the final power data and source voltage are obtained by averaging the power measurement data and source voltage measurement data obtained from multiple measurements.

[0047] Step S102: Based on the above source voltage and power data, calculate the shared current of the feeders supplying power to the same load in the above power distribution network under the virtual ring topology. Specifically, in this step, a virtual ring topology is imagined using mathematical methods. A schematic diagram of the virtual ring topology is shown below. Figure 3 As shown, in this virtual ring topology, the DC buses of the two SSTs are connected by a non-existent virtual DC line (i.e., Figure 2 The DC bus in the system is connected, and there are two feeders supplying power to the same load. In this way, the voltage at the end of the feeders will be equal, i.e. equal .

[0048] Specifically, the aforementioned shared current is used to describe the amount of current adjustment required for distributed energy resource control in a virtual ring topology simulation.

[0049] In a preferred embodiment, the calculation of the shared current of the feeders supplying power to the same load in the virtual ring topology of the power distribution network, based on the source voltage and power data, includes: From the above power data, obtain several first power data of feeders supplying power to the same load under the virtual ring topology; Specifically, the power data obtained in the aforementioned steps includes the power data of each feeder. Therefore, for a certain load under the virtual ring topology, the power data of the feeder corresponding to that load is extracted as the first power data mentioned above.

[0050] Based on the first power data and the source voltage mentioned above, the current of several loop topologies of feeders that supply power to the same load is calculated. Specifically, due to equal The following formula can be derived: In the formula, This represents the feeder terminal voltage of the first feeder supplying power to the same load in a virtual ring power supply mode. This represents the feeder terminal voltage of another feeder supplying power to the same load in a virtual ring power supply mode. This represents the feeder impedance of the first feeder supplying power to the same load. This indicates the feeder impedance of another feeder supplying power to the same load. This represents the feeder end current (i.e., the current of the aforementioned ring topology of the first feeder) in the virtual ring power supply mode, which supplies power to the same load. This represents the feeder end current of another feeder supplying power to the same load in the virtual ring power supply mode (i.e., the ring topology current of the other feeder).

[0051] Then, according to the formula: This can be further deduced to mean: In the formula, This represents the initial feeder end voltage of feeder x in radial power supply mode, where V represents the source voltage. This represents the feed impedance of feed line x. This represents the initial feeder end current of feeder x in radial power supply mode. This represents the initial feeder end voltage of the first feeder supplying power to the same load in radial power supply mode. This represents the initial feeder end voltage of another feeder supplying power to the same load in radial power supply mode. This represents the initial feeder end current in radial power supply mode, for the first feeder supplying power to the same load. This represents the initial feeder end current when another feeder supplies power to the same load in radial power supply mode.

[0052] Subsequently, considering that in a ring structure, both feeders supply power to the same load, that is: This indicates the required current of the load connected to the first feeder. This indicates the required current of the load connected to the second feeder; Combining the above formulas, we can obtain: Similarly, the feeder end current of another feeder can be calculated in the same way.

[0053] For each ring topology current, the shared current of the feeder corresponding to the current ring topology current is calculated based on the current ring topology current and the power data of the corresponding feeder.

[0054] Specifically, since the feeder end current when the feeder radial topology is 0 has a difference relationship with the current in the loop topology of the feeder in the virtual loop topology, the shared current of the feeder can be calculated using the following formula: In the formula, This represents the shared current of feeder x. This represents the ring topology current of feeder x in the virtual ring power supply mode.

[0055] Specifically, this formula calculates the difference between the feeder end current in radial power supply mode and the feeder end current in virtual ring power supply mode. This difference represents the current that distributed energy resources need to inject or absorb to achieve load balancing.

[0056] Preferably, by performing calculations for specific feeder groups (rather than the entire network) supplying the same load and determining the shared current that each feeder should bear, this strategy achieves more refined and targeted load allocation. It ensures that the calculated compensation measures directly apply to the critical nodes requiring balancing, improving the efficiency and accuracy of load balancing.

[0057] In this preferred embodiment, the shared current of feeders supplying power to the same load in the distribution network under a virtual ring topology is calculated using source voltage and power data.

[0058] Step S103: Perform DC equivalent conversion on the above-mentioned shared current to obtain the compensation current, and adjust the current of the corresponding distributed energy resources according to the compensation current.

[0059] Specifically, the current data calculated through the aforementioned steps needs to undergo DC equivalent conversion to obtain the DC compensation current: In the formula, This represents the compensation current of the DER corresponding to feeder x.

[0060] Specifically, during the DER dynamic control and implementation phase, the controllable current source of the DER is activated based on the calculated compensation current. A schematic diagram of the radial feeder load balancing control topology is shown below. Figure 4As shown, power flow is regulated through the DC port of the connected SST. The photovoltaic panel is mainly responsible for the power injection portion, while the battery flexibly handles the absorption and storage functions to ensure the continuity and stability of power flow. The positive and negative signs of the compensation current indicate different DER modes: a negative sign indicates the power absorption mode, and a positive sign indicates the power injection mode. For different feeders, virtual load sharing can be achieved through the different modes of the connected DER, as if two feeders are "cooperating".

[0061] Specifically, by continuously collecting feeder current and voltage data through real-time monitoring and adjustment, SST can quickly adapt to dynamic conditions when the load changes, leveraging its high controllability. Its response time is typically in the millisecond range. In terms of fault handling, SST's power electronics characteristics can isolate faults while maintaining the original radial protection settings. Preferably, for SST, if a feeder fault is detected, immediately disconnecting the relevant DER can prevent the mutual injection of short-circuit current. If it is necessary to return to pure radial mode, simply setting the corresponding compensation current to zero will stop control. This stage ensures the practical operability of the method, and the entire process forms a closed loop, achieving dynamic load balancing without any physical DC line connection. This significantly reduces installation costs and operational complexity, and the load can be optimized solely through device control, making it suitable for upgrading legacy networks.

[0062] Preferably, the load optimization method of the present invention has the following advantages: This method fully utilizes the DER (Radial Distribution Grid), reduces energy loss through dynamic load balancing, simplifies the structure, maintains the radial topology, and reduces complex protection settings; it improves response speed, with millisecond-level adjustment to adapt to transient changes; SST (Side-Stage Transmission) fault isolation maintains radial protection, reduces the risk of power outages, and enhances reliability; it supports seamless access to multiple DERs, improving scalability; and it achieves load balancing without adjusting existing protection strategies, thus optimizing protection coordination. These effects collectively enable efficient, flexible, and economical operation of the smart distribution network, significantly outperforming traditional technologies.

[0063] To illustrate, experiments were conducted using two feeders (feeder 1 with a smaller load and feeder 2 with a larger load) to investigate current variations in a real ring power supply network (i.e., a physically connected ring topology) and a virtual ring network under DER control. The current error waveform is shown below. Figure 5 As shown, from Figure 5As can be seen, the system was in a steady state 0.1 seconds prior. At this time, the currents of both feeders in both the real and virtual ring network structures had reached a stable state, and their current values ​​almost completely overlapped. This indicates that, under steady-state conditions, the virtual ring network scheme can perfectly reproduce the current distribution of the real ring network. After 0.1 seconds, the system changed, and the changing trends of the two current curves of the virtual ring network were highly consistent with the corresponding curves of the real ring network, proving the correctness and dynamic tracking capability of the proposed solution.

[0064] Preferably, this invention uses solid-state transformers (SST) and distributed energy resources (DER) to simulate a virtual ring topology, overcoming the load imbalance problem of traditional radial distribution networks. Furthermore, it eliminates the need for actual physical ring network wiring modifications, directly utilizing the DC bus of the SST to maintain voltage synchronization at different feeder ends through virtual interconnection, thereby achieving dynamic and intelligent redistribution of power load. This method not only significantly alleviates voltage deviations and equipment overload risks caused by uneven load distribution but also greatly reduces the hardware costs and engineering complexity of system upgrades, providing a highly feasible technical path for the flexible operation and efficient management of modern distribution networks.

[0065] In a preferred embodiment, the above-mentioned current regulation of the corresponding distributed energy resources based on the compensation current includes: Obtain the load value of the load corresponding to the above compensation current; Specifically, the above load value is determined by the load current.

[0066] If the above load value is lower than the preset load threshold, the current of the corresponding distributed energy resource will be reduced according to the above compensation current. Otherwise, the current of the corresponding distributed energy resource will be increased according to the compensation current mentioned above.

[0067] Specifically, by determining the current load size, it is possible to set the DER to power absorption mode (negative compensation current) or power injection mode (positive compensation current).

[0068] Specifically, preset load thresholds are typically strongly correlated with the safe current-carrying capacity (thermal stability limit) of the line or distribution transformer, the lower limit of voltage quality requirements, and protection settings. For example, it can be set to 80% of the line's rated capacity. When the load value is below this threshold, the line is considered to be in the safety margin zone; when it is above this threshold, the line is considered to have entered the warning or risk zone. Since any action that increases the power flow on an already heavily loaded feeder (including absorbing more power from the local DER) may trigger overcurrent protection tripping, causing a power outage, setting this preset load threshold can prevent overload. Secondly, in the distribution network, load current is closely related to voltage drop. The heavier the load, the lower the voltage. Under low voltage conditions, blindly reducing the supporting output of the local DER may lead to voltage collapse; therefore, setting a preset load threshold can maintain voltage stability.

[0069] Specifically, when the load value is below the preset load threshold, it indicates that the feeder is in a light-load or normal state with sufficient capacity margin, and its voltage level may be slightly higher or normal. Therefore, a virtual loop is needed to transfer some of the current from the heavily loaded feeder to the light-load feeder. Reducing the output of the DER at the end of the light-load feeder (or increasing its absorption) is equivalent to increasing the feeder's ability to absorb net power from the power source, thereby freeing up physical transmission space to handle the shared current from the heavily loaded feeder. At the same time, the voltage of the light-load line may be slightly higher, and this method can also moderately reduce the local voltage. Reducing local power generation helps to bring the voltage back to the standard range and improve power quality.

[0070] Specifically, when the load value is not lower than the preset load threshold, it indicates that the feeder is under heavy load or in a critical state, its voltage may have been pulled down, and the line is overheating severely. The primary goal at present is to reduce the load, therefore, the output of the local DER should be increased to reduce upstream power flow.

[0071] Specifically, for feeders with load values ​​lower than the preset load threshold, the current of their corresponding DER is reduced by the amount of the compensation current calculated at the time; conversely, for feeders with load values ​​not lower than the preset load threshold, the current of their corresponding DER is increased by the amount of the compensation current calculated at the time.

[0072] Preferably, determining whether to increase or decrease the DER current based on the load value prevents further reduction of power supply in areas with already low load (which could lead to excessively low voltage) and avoids blindly reducing power supply in areas with high load (which could exacerbate imbalance). This ensures that the adjustment action always aims to optimize the overall load distribution while guaranteeing local power supply quality, making the DER output adjustment more intelligent and effective.

[0073] In this preferred embodiment, the current of the corresponding distributed energy resources is adjusted based on the calculated compensation current, thereby achieving load optimization.

[0074] Based on the above method embodiments, the present invention provides corresponding apparatus embodiments.

[0075] like Figure 6 As shown, an embodiment of the present invention provides a radial power distribution load optimization device for distributed energy, comprising: Data acquisition module, shared current calculation module, and distributed energy regulation module; The aforementioned data acquisition module is used to acquire power data at the end of each feeder in the radial topology distribution network, as well as the source voltage of the aforementioned distribution network. Specifically, the aforementioned power data includes: the current at the end of the feeder, the voltage at the end of the feeder, and the feeder impedance. The aforementioned source voltage refers to the common starting point voltage of all feeders in the power distribution system.

[0076] Specifically, in a radial topology distribution network, a Solid-State Transformer (SST) and a Distributed Energy Resources (DER) are sequentially installed at the end of each feeder. The SST is a multifunctional device integrating voltage transformation, electrical isolation, power regulation, and energy routing, supporting AC-DC hybrid systems and commonly used in medium- and low-voltage distribution scenarios. This advanced power equipment consists of three parts: a rectifier (converting AC to DC), a dual active bridge (controlling power flow), and an inverter (converting DC back to AC). The AC side of the SST connects to the feeder, while the DC side connects to the DER. The DER is a combined system, typically including photovoltaic panels (solar panels that generate electricity) and battery storage (that stores or discharges electricity). In this invention, it is treated as a controllable current source; if the current is positive, it means the DER is injecting power into the distribution network; if it is negative, it means it is absorbing power from the distribution network.

[0077] Specifically, the aforementioned power data and source voltage can be obtained by installing voltage and current sensors at the feeder end (i.e., the AC side of the SST) and the power source to obtain the current at the feeder end, the voltage at the feeder end, the feeder impedance, and the source voltage in the aforementioned power data.

[0078] It should be noted that the power data and source voltage acquired in this module are all power data and source voltage under radial power supply mode.

[0079] The aforementioned shared current calculation module is used to calculate the shared current of the feeders supplying power to the same load in the virtual ring topology of the aforementioned power distribution network based on the aforementioned source voltage and power data. Specifically, in this module, a virtual ring topology is mathematically imagined. In this virtual ring topology, the DC buses of the two SSTs are connected by a non-existent virtual DC line, and there are two feeders supplying power to the same load. This ensures that the voltages at the ends of the feeders are equal. equal .

[0080] Specifically, the aforementioned shared current is used to describe the amount of current adjustment required for distributed energy resource control in a virtual ring topology simulation.

[0081] The aforementioned distributed energy regulation module is used to perform DC equivalent conversion on the shared current to obtain a compensation current, and to regulate the current of the corresponding distributed energy resources according to the compensation current.

[0082] Specifically, the current data calculated by the aforementioned modules needs to undergo DC equivalent conversion to obtain the DC compensation current: In the formula, This represents the compensation current of the DER corresponding to feeder x.

[0083] Specifically, during the DER dynamic control and implementation phase, the controllable current source of the DER is activated based on the calculated compensation current. A schematic diagram of the radial feeder load balancing control topology is shown below. Figure 4 As shown, power flow is regulated through the DC port of the connected SST. The photovoltaic panel is mainly responsible for the power injection portion, while the battery flexibly handles the absorption and storage functions to ensure the continuity and stability of power flow. The positive and negative signs of the compensation current indicate different DER modes: a negative sign indicates the power absorption mode, and a positive sign indicates the power injection mode. For different feeders, virtual load sharing can be achieved through the different modes of the connected DER, as if two feeders are "cooperating".

[0084] Specifically, by continuously collecting feeder current and voltage data through real-time monitoring and adjustment, SST can quickly adapt to dynamic conditions when the load changes, leveraging its high controllability. Its response time is typically in the millisecond range. In terms of fault handling, SST's power electronics characteristics can isolate faults while maintaining the original radial protection settings. Preferably, for SST, if a feeder fault is detected, immediately disconnecting the relevant DER can prevent the mutual injection of short-circuit current. If it is necessary to return to pure radial mode, simply setting the corresponding compensation current to zero will stop control. This stage ensures practical operability, and the entire process forms a closed loop, achieving dynamic load balancing without any physical DC line connection. This significantly reduces installation costs and operational complexity, and the load can be optimized solely through device control, making it suitable for upgrading legacy networks.

[0085] Preferably, the load optimization device of the present invention has the following advantages: This device fully utilizes the DER (Radial Distribution Grid), reduces energy loss through dynamic load balancing, simplifies the structure, maintains the radial topology, and reduces complex protection settings; it improves response speed, with millisecond-level adjustment to adapt to transient changes; SST (Side-Stage Transmission) fault isolation maintains radial protection, reduces the risk of power outages, and enhances reliability; it supports seamless access to multiple DERs, improving scalability; and it achieves load balancing without adjusting existing protection strategies, thus optimizing protection coordination. These effects collectively enable efficient, flexible, and economical operation of the smart distribution network, significantly outperforming traditional technologies.

[0086] In a preferred embodiment, it further includes: Current monitoring module; The aforementioned current monitoring module is used to monitor the current of the distributed energy resources in real time before acquiring the power data at the end of each feeder in the radial topology distribution network and the source voltage of the distribution network. When the current is 0, the above power data and source voltage are acquired.

[0087] Specifically, to ensure the reliability of the acquired data, it is necessary to wait until the power distribution network stabilizes before collecting relevant data. Using a zero current for distributed energy resources as a condition ensures that each feeder independently supplies power to its own load, just like a traditional power network, without any external interference.

[0088] Preferably, after the current is found to be 0, a short period of time (e.g., 0.1 seconds) can be waited to ensure that the power distribution network is completely stable.

[0089] Preferably, the purpose of the above process is to ensure a smooth start-up of the entire system, avoid any disruptions, and lay a solid foundation for the next step of collecting accurate baseline data. The entire initialization process takes only about 0.1 seconds. Once the fluctuations (transients) in the network have completely disappeared, the system can smoothly proceed to the next stage, namely the relevant data acquisition stage.

[0090] Preferably, acquiring power data and source voltage when the DER current is 0 allows for the measurement of data purely determined by the original network load and topology, eliminating interference from the DER's own output on the measurement state. This ensures that the source voltage and power data, serving as the starting point for calculations, accurately reflect the inherent characteristics of the network, thereby improving the baseline accuracy of all subsequent calculations and adjustments. Secondly, it provides a stable and repeatable initial state, facilitating the safe and reliable initiation of subsequent load optimization processes.

[0091] In another preferred embodiment, the data acquisition module includes: The system includes a power measurement data acquisition unit, a power measurement data calculation unit, a source voltage measurement data acquisition unit, and a source voltage calculation unit. The aforementioned power measurement data acquisition unit is used to acquire power measurement data obtained from several measurements for each feeder end; The aforementioned power measurement data calculation unit is used to calculate the average value of all power measurement data to obtain the aforementioned power data; The aforementioned source voltage measurement data acquisition unit is used to acquire source voltage measurement data obtained from several measurements; The aforementioned source voltage calculation unit is used to calculate the average value of all source voltage measurement data to obtain the aforementioned source voltage.

[0092] Specifically, in power systems, especially in modern distribution networks containing numerous power electronic devices (such as photovoltaic inverters and frequency converters) and fluctuating loads, electrical quantities are not constant ideal values, but rather complex signals constantly superimposed with various transient components, noise interference, and measurement errors. Short-term voltage fluctuations and current surges occur during moments such as motor startup, high-power equipment switching, and sudden changes in DER power. Simultaneously, electromagnetic interference in the measurement circuit, bit errors during communication, and electronic noise from the sensors themselves all contaminate the raw data. Furthermore, nonlinear loads generate harmonics, causing waveform distortion; in asynchronous sampling, single-point measurements cannot represent effective values. Therefore, it is necessary to filter out these transient, random, and high-frequency interference components to extract the true values ​​that represent the steady-state characteristics or trends of the power system under its current operating conditions.

[0093] Specifically, acquiring power measurement data from multiple measurements at each feeder end requires simultaneous or short-term measurements at all relevant feeder ends. This is crucial for ensuring data spatiotemporal consistency. If data at point A is from time t1 and data at point B is from time t5, even if averaged, they do not reflect the system state at the same time, and the calculated shared current will lose its physical meaning. Therefore, this typically requires the relevant measurement equipment to have clock synchronization capabilities (e.g., via BeiDou / GPS or IEEE 1588 PTP protocol) to achieve millisecond or even microsecond-level time alignment. The specific number of measurements depends on the control cycle, sampling frequency, and noise characteristics. For example, by setting the sensor sampling frequency, such as once every 0.1 seconds, multiple measurements can be achieved, yielding several power measurement data and source voltage measurement data. Too few measurements result in poor filtering; too many measurements (exceeding one control cycle) lead to data lag, affecting the real-time performance of the control.

[0094] Specifically, when calculating the average of all power measurement data and source voltage measurement data, statistical methods (such as the 3σ criterion) can be used to remove obviously erroneous outliers before calculation, and then the remaining data can be averaged. This will result in a more robust calculation.

[0095] Preferably, the source voltage is used as a fixed reference in the above process and does not change throughout the measurement process.

[0096] Preferably, averaging multiple measurements can effectively filter out the effects of transient fluctuations, measurement noise, or instantaneous interference in the power grid. This ensures that the data used subsequently is stable and reliable, thereby enhancing the overall device's anti-interference capability and decision robustness, and avoiding erroneous adjustments due to errors in a single measurement.

[0097] In a preferred embodiment, the shared current calculation module includes: The first power data acquisition unit, the ring topology current calculation unit, and the current data calculation unit; The aforementioned first power data acquisition unit is used to acquire, from the aforementioned power data, several first power data of feeders supplying power to the same load under the virtual ring topology; Specifically, the power data acquired by the preceding module includes the power data of each feeder. Therefore, for a certain load under the virtual ring topology, the power data of the feeder corresponding to that load is extracted as the first power data mentioned above.

[0098] The aforementioned ring topology current calculation unit is used to calculate the ring topology current of several feeders that supply power to the same load based on the aforementioned first power data and the aforementioned source voltage. Specifically, due to equal The following formula can be derived: In the formula, This represents the feeder terminal voltage of the first feeder supplying power to the same load in a virtual ring power supply mode. This represents the feeder terminal voltage of another feeder supplying power to the same load in a virtual ring power supply mode. This represents the feeder impedance of the first feeder supplying power to the same load. This indicates the feeder impedance of another feeder supplying power to the same load. This represents the feeder end current (i.e., the current of the aforementioned ring topology of the first feeder) in the virtual ring power supply mode, which supplies power to the same load. This represents the feeder end current of another feeder supplying power to the same load in the virtual ring power supply mode (i.e., the ring topology current of the other feeder).

[0099] Then, according to the formula: It can be further deduced that: In the formula, This represents the initial feeder end voltage of feeder x in radial power supply mode, where V represents the source voltage. This represents the feed impedance of feed line x. This represents the initial feeder end current of feeder x in radial power supply mode. This represents the initial feeder end voltage of the first feeder supplying power to the same load in radial power supply mode. This represents the initial feeder end voltage of another feeder supplying power to the same load in radial power supply mode. This represents the initial feeder end current in radial power supply mode, for the first feeder supplying power to the same load. This represents the initial feeder end current when another feeder supplies power to the same load in radial power supply mode.

[0100] Subsequently, considering that in a ring structure, both feeders supply power to the same load, that is: This indicates the required current of the load connected to the first feeder. This indicates the required current of the load connected to the second feeder; Combining the above formulas, we can obtain: Similarly, the feeder end current of another feeder can be calculated in the same way.

[0101] The aforementioned current data calculation unit is used to calculate the shared current of the feeder corresponding to the current ring topology based on the current ring topology current and the power data of the corresponding feeder for each ring topology current.

[0102] Specifically, since the feeder end current when the feeder radial topology is 0 has a difference relationship with the current in the loop topology of the feeder in the virtual loop topology, the shared current of the feeder can be calculated using the following formula: In the formula, This represents the shared current of feeder x. This represents the ring topology current of feeder x in the virtual ring power supply mode.

[0103] Specifically, this formula calculates the difference between the feeder end current in radial power supply mode and the feeder end current in virtual ring power supply mode. This difference represents the current that distributed energy resources need to inject or absorb to achieve load balancing.

[0104] Preferably, by performing calculations for specific feeder groups (rather than the entire network) supplying the same load and determining the shared current that each feeder should bear, this strategy achieves more refined and targeted load allocation. It ensures that the calculated compensation measures directly apply to the critical nodes requiring balancing, improving the efficiency and accuracy of load balancing.

[0105] In another preferred embodiment, the above-mentioned distributed energy regulation module includes: Load value acquisition unit and load value comparison unit; The aforementioned load value acquisition unit is used to acquire the load value of the load corresponding to the aforementioned compensation current; The load value comparison unit is used to reduce the current of the corresponding distributed energy resource by the compensation current when the load value is lower than the preset load threshold; otherwise, it increases the current of the corresponding distributed energy resource by the compensation current.

[0106] Specifically, preset load thresholds are typically strongly correlated with the safe current-carrying capacity (thermal stability limit) of the line or distribution transformer, the lower limit of voltage quality requirements, and protection settings. For example, it can be set to 80% of the line's rated capacity. When the load value is below this threshold, the line is considered to be in the safety margin zone; when it is above this threshold, the line is considered to have entered the warning or risk zone. Since any action that increases the power flow on an already heavily loaded feeder (including absorbing more power from the local DER) may trigger overcurrent protection tripping, causing a power outage, setting this preset load threshold can prevent overload. Secondly, in the distribution network, load current is closely related to voltage drop. The heavier the load, the lower the voltage. Under low voltage conditions, blindly reducing the supporting output of the local DER may lead to voltage collapse; therefore, setting a preset load threshold can maintain voltage stability.

[0107] Specifically, when the load value is below the preset load threshold, it indicates that the feeder is in a light-load or normal state with sufficient capacity margin, and its voltage level may be slightly higher or normal. Therefore, a virtual loop is needed to transfer some of the current from the heavily loaded feeder to the light-load feeder. Reducing the output of the DER at the end of the light-load feeder (or increasing its absorption) is equivalent to increasing the feeder's ability to absorb net power from the power source, thereby freeing up physical transmission space to handle the shared current from the heavily loaded feeder. At the same time, the voltage of the light-load line may be slightly higher, and this method can also moderately reduce the local voltage. Reducing local power generation helps to bring the voltage back to the standard range and improve power quality.

[0108] Specifically, when the load value is not lower than the preset load threshold, it indicates that the feeder is under heavy load or in a critical state, its voltage may have been pulled down, and the line is overheating severely. The primary goal at present is to reduce the load, therefore, the output of the local DER should be increased to reduce upstream power flow.

[0109] Specifically, by determining the current load size, it is possible to set the DER to power absorption mode (negative compensation current) or power injection mode (positive compensation current).

[0110] Specifically, for feeders with load values ​​lower than the preset load threshold, the current of their corresponding DER is reduced by the amount of the compensation current calculated at the time; conversely, for feeders with load values ​​not lower than the preset load threshold, the current of their corresponding DER is increased by the amount of the compensation current calculated at the time.

[0111] Preferably, determining whether to increase or decrease the DER current based on the load value prevents further reduction of power supply in areas with already low load (which could lead to excessively low voltage) and avoids blindly reducing power supply in areas with high load (which could exacerbate imbalance). This ensures that the adjustment action always aims to optimize the overall load distribution while guaranteeing local power supply quality, making the DER output adjustment more intelligent and effective.

[0112] It should be noted that the device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationship between modules indicates that they have a communication connection, which can be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without creative effort. The above schematic diagram is merely an example of a radial power distribution load optimization device for distributed energy and does not constitute a limitation on a radial power distribution load optimization device for distributed energy. It may include more or fewer components than shown, or combine certain components, or use different components.

[0113] Based on the above method embodiments, the present invention provides corresponding terminal device embodiments.

[0114] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the radial power distribution load optimization method for distributed energy described in any embodiment of the present invention.

[0115] For example, in this embodiment, the computer program can be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the device. The aforementioned terminal devices may be computing devices such as desktop computers, laptops, handheld computers, and cloud servers. These devices may include, but are not limited to, processors and memory. The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. This processor is the control center of the device, connecting various parts of the device via various interfaces and lines. The aforementioned memory can be used to store the aforementioned computer programs and / or modules. The aforementioned processor implements various functions of the aforementioned device by running or executing the computer programs and / or modules stored in the aforementioned memory, and by calling data stored in the memory. The aforementioned memory may mainly include a program storage area and a data storage area, wherein the program storage area may store the operating system, at least one application program required for a function, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0116] Based on the above method embodiments, the present invention provides corresponding storage medium embodiments.

[0117] Another embodiment of the present invention provides a storage medium including a stored computer program, wherein, when the computer program is running, it controls the device where the storage medium is located to execute the radial power distribution load optimization method for distributed energy described in any embodiment of the present invention.

[0118] In this embodiment, the storage medium is a computer-readable storage medium, and the computer program includes computer program code, which may be in the form of source code, object code, executable file, or some intermediate form. The computer-readable medium may include any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0119] The above are preferred embodiments of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A radial power distribution load optimization method for distributed energy resources, characterized in that, include: Acquire power data at the end of each feeder in a radial topology distribution network, as well as the source voltage of the distribution network; Based on the source voltage and power data, the shared current of the feeders supplying power to the same load in the virtual ring topology of the power distribution network is calculated. The shared current is converted to DC equivalent to obtain a compensation current, and the current of the corresponding distributed energy resources is adjusted according to the compensation current.

2. The radial power distribution load optimization method for distributed energy sources according to claim 1, characterized in that, Before acquiring the power data at the end of each feeder in the radial topology distribution network, and the source voltage of the distribution network, the method further includes: Real-time monitoring of the current of the distributed energy resources; When the current is 0, the power data and source voltage are acquired.

3. The radial power distribution load optimization method for distributed energy sources according to claim 2, characterized in that, The acquisition of power data at the end of each feeder in the radial topology distribution network, and the source voltage of the distribution network, includes: For each feeder end, acquire power measurement data obtained from several measurements; The power data is obtained by calculating the average of all power measurement data. Acquire source voltage measurement data from several measurements; The source voltage is obtained by calculating the average value of all source voltage measurements.

4. The radial power distribution load optimization method for distributed energy according to claim 3, characterized in that, The step of calculating the shared current of feeders supplying power to the same load in the distribution network under a virtual ring topology, based on the source voltage and power data, includes: From the power data, obtain several first power data of feeders supplying power to the same load under the virtual ring topology; Based on the first power data and the source voltage, the current of several loop topologies of feeders supplying power to the same load is calculated. For each ring topology current, the shared current of the feeder corresponding to the current ring topology current is calculated based on the current ring topology current and the power data of the corresponding feeder.

5. The radial power distribution load optimization method for distributed energy according to claim 4, characterized in that, The step of adjusting the current of the corresponding distributed energy resources according to the compensation current includes: Obtain the load value of the load corresponding to the compensation current; If the load value is lower than the preset load threshold, the current of the corresponding distributed energy resource will be reduced according to the compensation current. Otherwise, the current of the corresponding distributed energy resource is increased according to the compensation current.

6. A radial power distribution load optimization device for distributed energy, characterized in that, include: Data acquisition module, shared current calculation module, and distributed energy regulation module; The data acquisition module is used to acquire power data at the end of each feeder in the radial topology distribution network, as well as the source voltage of the distribution network. The shared current calculation module is used to calculate the shared current of the feeders supplying power to the same load in the virtual ring topology of the power distribution network based on the source voltage and power data. The distributed energy regulation module is used to perform DC equivalent conversion on the shared current to obtain a compensation current, and to regulate the current of the corresponding distributed energy resources according to the compensation current.

7. The radial power distribution load optimization device for distributed energy according to claim 6, characterized in that, Also includes: Current monitoring module; The current monitoring module is used to monitor the current of the distributed energy resource in real time before acquiring the power data at the end of each feeder in the radial topology distribution network and the source voltage of the distribution network. When the current is 0, the power data and source voltage are acquired.

8. The radial power distribution load optimization device for distributed energy according to claim 7, characterized in that, The data acquisition module includes: The system includes a power measurement data acquisition unit, a power measurement data calculation unit, a source voltage measurement data acquisition unit, and a source voltage calculation unit. The power measurement data acquisition unit is used to acquire power measurement data from several measurements for each feeder end. The power measurement data calculation unit is used to calculate the average value of all power measurement data to obtain the power data; The source voltage measurement data acquisition unit is used to acquire source voltage measurement data obtained from several measurements. The source voltage calculation unit is used to calculate the average value of all source voltage measurement data to obtain the source voltage.

9. A terminal device, characterized in that, The device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements a radial power distribution load optimization method for distributed energy as described in any one of claims 1 to 5.

10. A storage medium, characterized in that, The storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device where the storage medium is located to perform a radial power distribution load optimization method for distributed energy as described in any one of claims 1 to 5.

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