Power distribution network compensation device site selection and capacity determination method and device considering communication reachability

Abstract

The application provides a power distribution network compensation device site selection and capacity determination method and equipment considering communication reachability, and relates to the technical field of power distribution network planning. The method comprises the following steps: determining active channel communication degradation factors and reactive channel communication degradation factors of each candidate node based on the received signal strength indication of each candidate node; then determining the active equivalent feeder impedance and the reactive equivalent feeder impedance of each candidate node; constructing a double-channel asymmetric site selection optimization model according to each active equivalent feeder impedance, each reactive equivalent feeder impedance and feeder electrical parameters, and solving to obtain a site selection and capacity determination scheme. The application relies on the received signal strength to distinguish the communication degradation differences of the active channel and the reactive channel, completes the equivalent mapping of the communication characteristics to the electrical parameters, constructs a double-channel asymmetric optimization model, takes into account the communication asymmetric attenuation law and the feeder electrical constraint, and effectively improves the rationality of the mixed compensation device site selection and capacity configuration and the actual compensation efficiency.

Description

Technical Field

[0001] This invention relates to the field of power distribution network planning technology, and in particular to a method and equipment for site selection and capacity determination of power distribution network compensation devices that takes into account communication accessibility. Background Technology

[0002] The distribution of 4G / 5G communication signals along rural power distribution network feeders is extremely uneven. The signal is full at the beginning of the feeder near villages, but rapidly attenuates to a dead zone after entering mountainous farmland. The pole on which the pole-mounted hybrid compensation device is installed not only determines the electrical compensation effect, but also the control mode that the device can use, and thus how the active and reactive power capacities are configured.

[0003] In existing technologies, the site selection and capacity determination methods usually take electrical indicators as the sole optimization target and ignore communication conditions. The selected "electrically optimal pole position" often cannot be remotely controlled in actual deployment due to the lack of communication, and the actual compensation capability of the device is far lower than the design expectation. Summary of the Invention

[0004] This invention provides a method and equipment for site selection and capacity determination of distribution network compensation devices that takes into account communication accessibility, in order to solve the problem that existing site selection and capacity determination methods usually take electrical indicators as the sole optimization target, resulting in unreasonable planning and poor performance.

[0005] In a first aspect, embodiments of the present invention provide a method for site selection and capacity determination of a distribution network compensation device considering communication reachability, comprising: The feeder is discretized to obtain multiple candidate nodes; Based on the received signal strength indication of each candidate node, the active channel communication degradation factor and reactive channel communication degradation factor of each candidate node are determined. The active equivalent feeder impedance of each candidate node is determined based on the active channel communication degradation factor of each candidate node; the reactive equivalent feeder impedance of each candidate node is determined based on the reactive channel communication degradation factor of each candidate node. Based on the active equivalent feeder impedance, the reactive equivalent feeder impedance, and the feeder electrical parameters, a dual-channel asymmetric location optimization model is constructed, and the location and capacity scheme is obtained by solving the model.

[0006] In a second aspect, embodiments of the present invention provide an electronic device, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the distribution network compensation device location and capacity determination method considering communication reachability as described in the first aspect or any possible implementation of the first aspect.

[0007] This invention provides a method and apparatus for site selection and capacity determination of distribution network compensation devices that consider communication reachability. The method includes: discretizing the feeders to obtain multiple candidate nodes; determining the active power channel communication degradation factor and reactive power channel communication degradation factor of each candidate node based on the received signal strength indication of each candidate node; determining the active power equivalent feeder impedance of each candidate node based on the active power channel communication degradation factor; determining the reactive power equivalent feeder impedance of each candidate node based on the reactive power channel communication degradation factor; and constructing a dual-channel asymmetric site selection optimization model based on the active power equivalent feeder impedance, the reactive power equivalent feeder impedance, and the feeder electrical parameters, and solving the model to obtain the site selection and capacity determination scheme. This application calculates the differentiated communication degradation factors of active and reactive power channels based on the communication signal strength of each node, and converts them into corresponding equivalent feeder impedances. It then constructs a dual-channel asymmetric site selection optimization model, which fully considers the uneven distribution of feeder communication signals in rural power distribution networks and the asymmetric impact of communication degradation on active and reactive power regulation. This model achieves equivalent fusion modeling of communication conditions and electrical parameters, significantly improving the rationality and engineering practicality of the site selection and capacity determination results of the hybrid compensation device. Attached Figure Description

[0008] Figure 1 This is a flowchart illustrating the implementation of a method for site selection and capacity determination of a distribution network compensation device that considers communication reachability, provided in an embodiment of the present invention. Figure 2 This is a schematic diagram of the structure of the distribution network compensation device location and capacity determination device considering communication reachability provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0009] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0010] See Figure 1 The document illustrates a flowchart of an implementation method for the location and capacity determination of a distribution network compensation device that considers communication reachability, as provided in an embodiment of the present invention. The details are as follows: The above-mentioned method for site selection and capacity determination of distribution network compensation devices that considers communication accessibility includes: S101: Discretize the feeder to obtain multiple candidate nodes; The pole-mounted hybrid compensation device is installed on the pole and is an integrated power electronic device that combines active power regulation (energy storage battery) and reactive power compensation (capacitor) functions. It is fixed to the pole by clamps and does not require a civil engineering foundation.

[0011] Discretize the feeder according to the tower spacing. There are candidate nodes. For example, the tower spacing is 50m.

[0012] The actual line impedance of each candidate node can also be calculated using the following formula: in, The resistance per unit length of the line. Candidate nodes The corresponding pole spacing.

[0013] The only inputs required are feeder length, conductor type, pole spacing, rated voltage, and approximate estimates of total load. These parameters can be obtained directly from the distribution network ledger system or on-site survey.

[0014] S102: Based on the received signal strength indication of each candidate node, determine the active channel communication degradation factor and reactive channel communication degradation factor of each candidate node; Under the same RSSI (Received Signal Strength Indicator), the degradation of active power regulation capability is significantly greater than that of reactive power regulation capability. This is because their communication dependency patterns differ. Active power regulation (battery charging and discharging) relies on global optimization commands issued by the master station. The master station needs to collect load data from the entire feeder, photovoltaic output forecasts, and node voltage information, and only after global optimization calculations can it generate accurate active power charging and discharging commands. When communication quality deteriorates, the latency of data upload and command issuance increases, and the packet loss rate rises. Even when switching to local autonomous mode, the local system cannot obtain full feeder information to make optimal active power decisions. Active power regulation capability degrades rapidly as RSSI decreases.

[0015] The core inputs for reactive power regulation (capacitor switching) are the local bus voltage measurement and power factor. These two quantities can be acquired locally by the device, without the need for remote communication. Even under conditions of complete communication interruption, the device can still perform effective reactive power compensation based on the local voltage-reactive power nine-zone diagram or voltage-power factor droop curve. Reactive power regulation capability degrades slowly as RSSI decreases.

[0016] Because of the asymmetric attenuation between the two, this application uses the strength of the wireless received signal to quantify the real-time communication quality of the node as the basis for determining the degree of degradation.

[0017] Active power channel communication degradation factor and reactive power channel communication degradation factor are defined. The active power channel communication degradation factor measures the proportion of active power regulation capability loss under communication degradation, and the reactive power channel communication degradation factor measures the proportion of reactive power regulation capability loss under communication degradation. The active power channel communication degradation factor and reactive power channel communication degradation factor are used to quantify the differentiated attenuation degree of active and reactive power.

[0018] In one possible implementation, S102 may include: S1021: For any candidate node, based on the received signal strength indication of the candidate node, combined with the degradation curve shape parameter and the reactive power base retention coefficient, determine the active power channel communication degradation factor and the reactive power channel communication degradation factor of the candidate node; wherein, the active power channel communication degradation factor of the candidate node is not less than the reactive power channel communication degradation factor of the candidate node.

[0019] This application uses the received signal strength of candidate nodes to characterize the quality of on-site wireless communication. It introduces a degradation curve shape parameter to depict the nonlinear rate of change of regulation capability during the gradual attenuation of the communication signal, and introduces a reactive power base retention coefficient to limit the minimum level of reactive power regulation capability when communication is completely interrupted. The application combines these two types of parameters to solve for the communication degradation factors of active and reactive power channels separately, and uses numerical constraints to quantify the asymmetric impact of communication degradation on active and reactive power regulation: active power regulation relies on remote communication and is more affected by signal attenuation; reactive power regulation is mainly based on local control and is less affected by communication interference, making the calculation results closely reflect the actual operating characteristics of rural distribution network feeders.

[0020] In one possible implementation, S1021 includes: 1. Based on the received signal strength indication and degradation curve shape parameters of the candidate node, and combined with the first formula, the active channel communication degradation factor of the candidate node is obtained. 2. Based on the received signal strength indication, degradation curve shape parameters, and reactive power base retention coefficient of the candidate node, the reactive power channel communication degradation factor of the candidate node is obtained by combining the second formula. The first formula may include: ,when ,when ,when in, Candidate nodes Active channel communication degradation factor, Candidate nodes The received signal strength indicator, For the communication integrity threshold, This is the communication interruption threshold. These are the parameters for the shape of the degradation curve; The second formula may include: ,when ,when ,when in, Candidate nodes Reactive channel communication degradation factor, This is the reactive power base retention factor.

[0021] At any RSSI level in this application Hengchengli (when) When both are 0, the equality holds. hour, (The usefulness has completely degenerated), while (Reactive power is only partially degraded). The differentiated responses of active and reactive power under communication degradation are achieved through... and Both parameters are precisely quantized.

[0022] For example, It can reach -85dBm. It can reach -110dBm; It can be 1.5 to 2.5 ( This indicates accelerated degradation. (representing linear degradation) The value can be between 0.3 and 0.6. Each parameter can also be set according to the specific application requirements.

[0023] S103: Determine the active equivalent feeder impedance of each candidate node based on the active channel communication degradation factor of each candidate node; determine the reactive equivalent feeder impedance of each candidate node based on the reactive channel communication degradation factor of each candidate node. Communication signal degradation weakens the regulation capability of pole-mounted hybrid compensation devices, and this type of performance loss at the communication level cannot be directly incorporated into traditional distribution network electrical models. Therefore, this application converts the degree of communication degradation into equivalent active power feeder impedance and reactive power feeder impedance: the larger the communication degradation factor value, the worse the communication quality, the more severely the device's regulation capability is limited, and the larger the corresponding equivalent impedance value.

[0024] In radial power distribution feeders, according to Ohm's law and Kirchhoff's voltage law, feeder impedance causes voltage drops. The supporting effect of compensation devices on the voltage at the end of the line gradually decreases as the electrical distance between the device and the load increases. Communication degradation leads to increased device regulation response delay and reduced control accuracy, thus decreasing its effective participation in voltage regulation. This effect is equivalent to increasing the electrical distance between the device and the load. Therefore, mapping the channel communication degradation factor in the communication domain to the equivalent additional impedance increment in the electrical domain is, in essence, a quantitative model of the causal chain of "communication degradation → decreased regulation efficiency → increased equivalent electrical distance".

[0025] In one possible implementation, S103 may include: S1031: For any candidate node, obtain the actual line impedance at the candidate node; determine the active equivalent additional impedance of the candidate node based on the active channel communication degradation factor and the actual line impedance; add the active equivalent additional impedance to the actual line impedance to obtain the active equivalent feeder impedance of the candidate node. S1032: For any candidate node, obtain the actual line impedance at the candidate node; determine the reactive equivalent additional impedance of the candidate node based on the reactive channel communication degradation factor and the actual line impedance; add the reactive equivalent additional impedance to the actual line impedance to obtain the reactive equivalent feeder impedance of the candidate node.

[0026] This application employs a superposition method of "actual impedance + additional impedance" to solve for the equivalent feeder impedances of active and reactive power separately, achieving a fusion modeling of communication degradation characteristics and inherent electrical parameters of the power grid. Based on the circuit characteristics of radial distribution networks, deterioration in communication signals leads to delayed device regulation response, reduced control accuracy, and decreased actual regulation efficiency. This is equivalent to adding an extra electrical impedance on top of the original line impedance, increasing the electrical distance between the device and the load, and exacerbating voltage drops. This simulates the weakening effect of communication failure on active and reactive power regulation capabilities.

[0027] Specifically, the formulas for calculating the active equivalent feeder impedance and the reactive equivalent feeder impedance are as follows: in, Candidate nodes The actual line impedance at that location. Candidate nodes The active equivalent feeder impedance and the reactive equivalent feeder impedance. , Candidate nodes The active equivalent additional impedance and the reactive equivalent additional impedance.

[0028] and These respectively reflect the candidate nodes Under communication conditions, the actual equivalent support capability of active and reactive power compensation for the voltage at the end of the feeder. Typically significantly greater than This means that the active power equivalent electrical distance is extended further by communication degradation. This difference directly leads to the optimal battery / capacitor capacity ratio varying with RSSI.

[0029] In one possible implementation, S1031 may include: 1. Based on the active channel communication degradation factor and actual line impedance of the candidate node, and in conjunction with the third formula, determine the active equivalent additional impedance of the candidate node. The third formula may include: in, Candidate nodes The active equivalent additional impedance, Candidate nodes Active channel communication degradation factor, The active power equivalence coefficient, Candidate nodes The actual line impedance at the location; S1032 may include: 1. Based on the reactive power channel communication degradation factor and actual line impedance of the candidate node, and in conjunction with the fourth formula, determine the reactive power equivalent additional impedance of the candidate node. The fourth formula may include: in, Candidate nodes The reactive equivalent additional impedance, Candidate nodes Reactive channel communication degradation factor, This is the reactive power equivalent coefficient.

[0030] and The physical meaning is: in a unit degradation factor ( Under this condition, the ratio of the equivalent additional impedance to the actual line impedance is... .

[0031] In other words, It measures "what proportion the device is electrically equivalent to being pushed away when its regulatory capacity is completely lost".

[0032] The physical reason is that the voltage support effect of active power regulation is highly dependent on the accuracy of remote coordination. Even with the same degree of communication degradation, the effective voltage support loss on the active side is more severe than that on the reactive side. Therefore, the equivalent impedance increment corresponding to active power unit degradation is larger.

[0033] For example, , It can also be adjusted according to actual application needs.

[0034] It should be noted that the "equivalent additional impedance" in this application is a completely different concept from the "virtual impedance" (used for droop control and virtual synchronous generators) in the field of power electronic inverter control. The former is an equivalent mapping of communication degradation on the electrical parameters of the distribution feeder, belonging to the modeling method in the field of distribution planning; the latter is a control algorithm simulation of the inverter output characteristics, belonging to the control strategy of power electronic devices.

[0035] "Equivalent additional impedance" is a modeling assumption, not a necessary result rigorously derived from natural laws. The impact of communication degradation on regulation effectiveness has a complex mechanism (involving control delay, packet loss and retransmission, protocol timeout, mode switching, etc.), and mapping it uniformly to a single impedance increment is an engineering approximation.

[0036] Select linear scaling mapping Instead of other function forms (such as...) or This is based on the following considerations: (a) Linear mapping is a minimal assumption and should not introduce additional complexity in the absence of proof by contradiction; (b) and and Both are directly proportional, respectively ensuring the two physical intuitions that "the more severe the degradation, the farther the equivalent distance" and "the more remote devices are affected by communication degradation." (c) Contains only a single parameter to be calibrated The calibration experiment is feasible. If subsequent research reveals a more accurate nonlinear mapping relationship, the conversion function can be replaced within the framework of this application without changing the overall structure of the site selection and dimensionality method.

[0037] S104: Based on the equivalent active power feeder impedance, the equivalent reactive power feeder impedance, and the feeder electrical parameters, construct a dual-channel asymmetric location optimization model and solve for the location and capacity scheme.

[0038] By integrating the equivalent active power feeder impedance, the equivalent reactive power feeder impedance, and the original electrical parameters of the feeders, a dual-channel asymmetric location optimization model adapted to the differentiated attenuation patterns of active and reactive power is constructed. Unlike traditional single-symmetric impedance models, this model fully preserves the differentiated impact of communication degradation on active and reactive power regulation. The model's simulation and optimization calculations more closely reflect the actual operating patterns of rural distribution network feeders, significantly improving calculation accuracy. Furthermore, the model integrates the inherent electrical constraints of the lines with the electrical constraints formed by equivalent communication degradation, taking into account circuit characteristics such as radial feeder voltage drops and power transmission, as well as the differences in regulation capability caused by the non-uniform distribution of communication signals. This achieves joint optimization of location and capacity under the synergy of communication conditions and electrical performance.

[0039] In one possible implementation, S104 may include: S1041: Based on the equivalent active power feeder impedance, the equivalent reactive power feeder impedance, and the feeder electrical parameters, a simplified radial feeder voltage drop / rise superposition model is used to determine the feeder end voltage. S1042: Based on the feeder end voltage, construct a dual-channel asymmetric addressing optimization model with the objective function of minimizing total cost.

[0040] This application uses a simplified radial feeder voltage drop / rise superposition model to calculate the feeder end voltage, accurately reflecting the voltage regulation effect after installing compensation devices at different candidate nodes; then, with the minimum total project cost as the optimization objective, a dual-channel asymmetric site selection optimization model is constructed. By solving the model, a site selection and capacity setting scheme that takes into account both electrical operation performance and economy is obtained, which is suitable for rural radial power distribution feeder structures and deeply integrates the communication asymmetric degradation characteristics, line voltage change law and economic indicators.

[0041] In one possible implementation, a simplified radial feeder voltage drop / rise superposition model may include: in, This is the voltage at the end of the feeder. This refers to the voltage at the beginning of the feeder line; Candidate nodes The voltage drop generated at the end of the feeder by a uniformly distributed load. Candidate nodes The voltage rise caused by the active power compensation of the compensation device at the location. Candidate nodes Voltage rise caused by reactive power compensation of the compensation device at the location; This is the feeder equivalent load current. The resistance per unit length of the line. This is the total length of the feeder; Candidate nodes Battery capacity at the location, Candidate Nodes The capacitance at that location; Candidate nodes The actual line impedance at that location. For effective discharge duration, This is the rated line voltage; Candidate nodes The active equivalent feeder impedance and the reactive equivalent feeder impedance.

[0042] feeder end voltage A simplified radial feeder voltage drop / rise superposition model is used for calculation, which linearly superimposes the load voltage drop, active power compensation rise, and reactive power compensation rise.

[0043] This represents the voltage drop generated at the end of the feeder by a uniformly distributed load, and is taken as 1 / 2 of the voltage drop of a concentrated load. This indicates the voltage rise caused by the active power compensation of the compensation device; among which, Appears in the denominator, The larger the value, the more severe the communication degradation. The smaller the value, the weaker the active voltage support effect due to communication degradation; when communication is intact... The formula degenerates into a baseline form without communication degradation. ; This indicates the voltage rise caused by reactive power compensation; among which, Appearing in the denominator, with the same meaning as above; because ， With the same capacity, active power compensation has a smaller effect on raising the voltage at the end than reactive power compensation.

[0044] In the above formula: , , The unit is kV; The unit is kA; The unit is kWh; The unit is h; The unit is kvar; , The unit is Ω. The coefficient 1000 in the formula is the unit conversion factor from kW / kvar to kV (1kW×1Ω / 1kV=1V=10⁻³kV). The dimension is Ω², and the denominator contains... The net remainder after dividing (Ω) by the molecule is Ω, which is the same as the Ω in the molecule. After coordination, the dimension is kV, and the formula is dimensionally consistent. The larger the value, the more severe the communication degradation and the weaker the device's ability to deliver effective power to the load; Appeared In the denominator of the formula, The larger the value, the smaller the ΔV.

[0045] The formula includes battery capacity (kWh) divided by effective discharge duration (h) The average discharge power (kW) is obtained, implicitly assuming that the battery discharges at a constant average power during the voltage support period. In practical applications, the instantaneous power capability of the battery (depending on the power rating of the energy storage converter) may be greater than or less than this average value. It is recommended to use a different value when optimizing. The smaller of the power input and the rated power of the energy storage converter is used as the effective active power injection power to ensure... Conservatism of the calculation results.

[0046] Should Simplifying assumptions and applicability boundaries of the model: ① Ignoring line reactance and considering only the resistive component, rural medium-voltage feeders commonly use small-section overhead bare conductors (such as LGJ-35 / 50 / 70), and the resistive component contributes significantly to voltage drop. For larger cross-section conductors such as LGJ-120, the R / X ratio is about 0.7 to 0.9. Ignoring reactance will introduce a certain error, but in planning scenarios where only the voltage amplitude at the end is of concern and the reactive power flow of the feeder is not large, this approximation is still within the acceptable range for engineering (the error usually does not exceed 15% of the qualified voltage bandwidth). ② The voltage drop at the end of the load that is uniformly distributed along the feeder is approximated as half of the voltage drop of the same total concentrated load (1 / 2 coefficient). This approximation holds under the condition that the line impedance is uniform and the load is approximately uniformly distributed. ③ In the optimization, the active capacity E and reactive capacity Q are treated as independent variables for separate constraints and optimization. The coupling constraint of the inverter's apparent power S on P and Q is not considered. This is because pole-mounted hybrid compensation devices typically use independent energy storage converters and capacitor banks, which physically belong to different power circuits and do not have a hard coupling due to sharing an inverter capacity. This simplification reduces the optimization problem to a mesh-exhaustive solution within a two-dimensional capacity space, while fully preserving... and Differentiation affects the core physical characteristics of voltage support.

[0047] ④ This model is applicable to scenarios where the voltage deviation at the feeder end is close to or exceeds the acceptable bandwidth. In this case, the compensation requirement is non-trivial, and the dual-channel asymmetry has a practical impact on the site selection and capacity determination results. For feeders with naturally acceptable end voltages, the model can still run but will not produce discriminative recommendations.

[0048] The core feature of the above model formula is: the active term. and reactive terms The denominator contains respectively and .because (Depend on and (To ensure), the active equivalent impedance is greater than the reactive equivalent impedance. Under the same capacity input, the active compensation has a smaller effect on raising the terminal voltage than the reactive compensation, and this difference widens as RSSI decreases. and The gap widens. This difference in voltage support efficiency leads to the following result automatically generated by the optimization solution: at poles with lower RSSI, the effective voltage support of battery capacity is significantly weakened by communication degradation, and the optimization algorithm naturally chooses to reduce battery input (lowering the voltage). ), increase capacitor input (raise) This approach satisfies voltage compliance constraints at the lowest cost. In contrast, the single-channel symmetrical model (using the same equivalent impedance for both active and reactive power) cannot distinguish the voltage support efficiency differences between the two under communication degradation, and its optimization results cannot reflect the differentiated impact of communication conditions on active / reactive power.

[0049] In one possible implementation, the dual-channel asymmetric addressing optimization model may include: in, For total cost, Cost per unit capacity of storage battery The cost per unit capacity of a supercapacitor. The cost includes fixed installation and supporting equipment (one-time cost). This is the voltage at the end of the feeder. These are the minimum and maximum terminal voltages, respectively. Candidate nodes The active equivalent feeder impedance and the reactive equivalent feeder impedance. Candidate nodes Battery capacity at the location, These are the minimum battery capacity and the maximum battery capacity, respectively. Candidate Nodes The capacitance at that location, These are the minimum and maximum capacitance values, respectively. This represents the total number of candidate nodes.

[0050] objective function Not explicitly included and However, both are constrained by the terminal voltage. Indirectly determined Feasible domain: The larger the capacity (the more severe the communication degradation), the more severe the degradation. The resulting active voltage rise The smaller, to satisfy Constraints required or The larger the value, the higher the minimum cost. and Differential values ​​( This determines the asymmetry between active and reactive power in voltage support efficiency, which is the core difference between the dual-channel model and the single-channel model.

[0051] In one possible implementation, the above method may further include: S105: Test the feeder to obtain multiple active channel communication degradation factor data points and reactive channel communication degradation factor data points; In one possible implementation, S105 may include: S1051: Control the received signal strength indicator to be no less than the communication integrity threshold, apply standard photovoltaic fluctuation disturbance, obtain the maximum voltage deviation of active mode only under the disturbance as active reference deviation, and obtain the maximum voltage deviation of reactive mode only under the disturbance as reactive reference deviation. Specifically, specifically, select a section of the test feeder (its characteristics are known). , , , Thus determined and feeder head voltage ), at the selected pole position (where the actual line impedance to the beginning is known), Install a standard capacity (e.g.) kWh, A pole-mounted compensation device (kvar) is used, and its discharge duration is set. Under conditions where the communication signal is intact ( Under a standard photovoltaic fluctuation disturbance (such as simulating cloud cover causing photovoltaic output to drop sharply from 100% to 30% within 10 seconds) at dBm (using a signal amplifier or near a base station), the maximum voltage deviation of the device was recorded in both active power mode (reactive power cut-off) and reactive power mode (active power cut-off). (Here, "maximum voltage deviation" is defined as: at rated voltage...) Using this as a reference, the absolute value of the quasi-steady-state voltage deviation at the feeder end node after the disturbance is applied and the compensation device has responded is taken, i.e. Exclude transient oscillations and take the steady-state value within 1 to 2 seconds after the disturbance is completed; It is a non-negative quantity. The smaller the value, the better the compensation effect (as the active power reference deviation). and reactive power reference deviation .

[0052] S1052: Control the preset received signal strength indicator to be among a plurality of preset received signal strength indicators that are less than the communication integrity threshold; S1053: For any preset received signal strength indication, apply a standard photovoltaic fluctuation disturbance when the preset received signal strength indication is given, obtain the maximum voltage deviation of active mode only under the disturbance as the maximum active deviation, and obtain the maximum voltage deviation of reactive mode only under the disturbance as the maximum reactive deviation. At the same pole position, the RSSI is gradually reduced to different levels (e.g., -90, -95, -100, -105, -110 dBm) using an attenuator. The same standard disturbance is repeatedly applied at each RSSI level, and the maximum voltage deviation is recorded under active power regulation (reactive power cut-off) and reactive power regulation (active power cut-off) alone. and .

[0053] S1054: For any preset received signal strength indication, determine the effective energy ratio and the reactive energy ratio based on the maximum reactive power deviation, maximum active power deviation, active power reference deviation, and reactive power reference deviation corresponding to the preset received signal strength indication. For example, the formula for calculating the efficiency ratio is: The formula for calculating the energy efficiency ratio is: ( , )=1 indicates that communication degradation has no impact on regulation efficiency. The smaller the value, the greater the loss of regulatory efficiency.

[0054] For example, RSSI = -90dBm: =0.89, =0.97 RSSI = -95dBm: =0.72, =0.93 RSSI = -100dBm: =0.48, =0.84 RSSI = -105dBm: =0.21, =0.68 RSSI = -110dBm: =0.02≈0, =0.45 This definition ensures and It is the performance ratio of the same functional mode under different communication conditions, eliminating interference from the inherent voltage support capability differences between different functional modes, thus making... and This only reflects the impact of communication degradation itself. It should be noted that... ( , It is a measure of regulatory effectiveness, not an intuitive measure of "regulatory capacity." The precise meaning of this is defined by the experimental definition above, rather than by an intuitive understanding of "capability retention".

[0055] S1055: For any preset received signal strength indication, determine the active channel communication degradation factor under the preset received signal strength indication as the complement of the effective power ratio, and determine the reactive channel communication degradation factor under the preset received signal strength indication as the complement of the reactive power ratio. Define channel communication degradation factor For efficiency ratio complement: This relationship is defining, not a model that needs to be fitted. The meaning is derived from Experimental definition ( ) is uniquely derived, Heng was established.

[0056] Regarding boundary conditions: when communication is intact , (No degradation); when communication is completely interrupted Approaching its minimum value (in (This refers to the natural voltage deviation without any compensation). Approaching For typical rural feeder parameters, the voltage improvement provided by the compensation device is a small correction relative to the natural deviation. Smaller The upper limit is close to 1. Therefore, the experimentally measured... and Directly convert the degradation factor at each RSSI level: , This generates multiple active channel communication degradation factor data points (RSSI). ) and reactive channel communication degradation factor data points and (RSSI, ).

[0057] S106: The least squares method is used to fit multiple data points to obtain the shape parameters of the degradation curve and the reactive power base retention coefficient.

[0058] The converted degradation factor data points (RSSI, ) and (RSSI, Each of these is fitted to the degradation factor model: ( hour) ( hour) The two models mentioned above share the same degradation curve shape parameter. Only through the reactive power base retention factor Distinguish between the degree of degradation of active and reactive power. Shared. The theoretical basis is as follows: and The nonlinear shape of these phenomena all stems from the performance degradation behavior of the digital communication protocol stack as packet loss rate and latency increase (such as TCP retransmission timeouts and application layer heartbeat timeouts). The nonlinear shape of this degradation behavior is determined by the fault tolerance mechanism of the communication protocol stack and is independent of whether the device performs active or reactive power regulation; both share the same communication module and protocol stack. The difference in the degree of active and reactive power degradation (active power degradation is faster) is reflected in… The key difference lies not in the shape of the curves. This assumption holds true when active and reactive power share the same communication channel and protocol stack; if active and reactive power control use different physical layer communication methods (e.g., active power uses cellular networks, reactive power uses local carrier communication), then they should not share the same channel. They need to be labeled separately. and .

[0059] Determined by least squares method and (Using the least squares method through a degradation factor model). Example calibration value is... , That is, active power decreases at an accelerated rate under communication degradation. The reactive power degradation factor is 0.45 when communication is completely interrupted (corresponding to a capability retention rate of 55%). This set of values ​​is used to demonstrate the complete calculation process of the method. The actual values ​​need to be determined through the above calibration experiments. The parameter values ​​may vary under different device models and communication modules. The expectation is based on the physical intuition that active power regulation is more sensitive to packet loss (the performance of the communication protocol stack collapses rapidly after the packet loss rate exceeds the fault tolerance threshold). The expectation is that reactive power can be based on local voltage measurement, but the accuracy decreases after losing global optimization information.

[0060] In one possible implementation, the above method may further include: S107: Obtain the measured feeder end voltage obtained under various preset received signal strength indicators; S108: Calculate the voltage at the end of the model feeder under each preset received signal strength indication; S109: With the goal of minimizing the sum of squares of the differences between the measured feeder end voltage and the model feeder end voltage under each preset received signal strength indication, least squares fitting is performed to obtain the reactive power equivalent coefficient and the active power equivalent coefficient.

[0061] and The calibration uses a least-squares fitting scheme, without seeking a closed-form analytical solution. The reason is that, in the corrected... In the formula, efficiency ratio It is the ratio of the baseline deviation to the degraded deviation, where Involving constant terms and The difference relationship. and The relationship between them is: in, This represents the natural voltage deviation without compensation. This is for the rise of the reference active voltage. The expression depends on the feeder parameters. The specific values ​​of K cannot be eliminated to obtain only the values ​​containing , , The concise relation. Therefore, and There is no universal analytical solution that is independent of the feeder parameters; it must be determined by fitting measured data.

[0062] Specific calibration method: Given α and β, use actual measurements at all RSSI test levels. With model calculation The objective is to minimize the sum of squares of the differences. and Perform least squares estimation. Model calculation. Formula used: in , , and From the already calibrated , Substituting into the degradation factor model, P and Q represent the standard active and reactive power injected during the test. The theoretical rationale for least squares estimation lies in: Its engineering purpose is to make The model's predicted values ​​should be as close as possible to the measured values, fitting the target ( Prediction accuracy and application scenarios (site selection and capacity determination) (Whether the constraints are satisfied) is consistent.

[0063] Example calibration value , From an engineering perspective, Indicating in degradation factor (When completely degenerated), The active voltage support effect is weakened to the level when communication is intact. =1 / 1.30≈77%; =0.12 indicates that communication was completely interrupted ( )hour, The reactive power voltage support effect was weakened to 1 / 1.054≈95%. The significant difference between the active and reactive power attenuation ratios (23% vs. 5%) quantitatively reflects the asymmetry in their dependence on communication.

[0064] The engineering significance of this coefficient is "the attenuation coefficient of power transfer efficiency per unit degradation factor." This coefficient is mainly determined by the communication module and control strategy, and is less affected by feeder parameters. Its portability between different feeders is better than its portability between different devices. Under typical rural feeder parameters, Caused by deviation ±20% The variation is approximately 3% to 5% of the acceptable voltage bandwidth (±7%Un), and its impact on the optimal (E,Q) scheme is within an acceptable engineering range, indicating that the model has an impact on... The value is less sensitive, a constant The approximation is acceptable in engineering.

[0065] The active power curve decayed to 48% at RSSI = -100dBm, while the reactive power remained at 84% at the same point. This significant difference validates the necessity of the asymmetric degradation model. If a single-channel symmetric model is used... , At RSSI = -100 dBm = A value of 0.60 would severely overestimate the functional capabilities and underestimate the non-functional capabilities, leading to a biased configuration scheme.

[0066] , The calibration value depends on the implementation of the device's communication protocol stack and the design of the control algorithm. Different manufacturers and models of pole-mounted compensation devices may have different degradation characteristics. , The calibration value is also affected by the feeder conductor type ( The influence of load distribution patterns necessitates recalibration when changing device models or communication modules. In practical engineering applications, a calibration test should be performed on at least one typical feeder for each device model to obtain its parameter range. For the application of the same device model on different feeders, and These parameters can be considered as inherent parameters of the device and directly used. and because , They cancel each other out in the numerator and denominator, therefore Theoretically, the calibration values ​​are independent of the conductor type and can be directly transferred. However, if the load distribution or voltage level of the target feeder differs significantly from that of the calibrated feeder, it is recommended to conservatively use the upper limit of the calibration range to ensure a margin for voltage compliance.

[0067] This application calculates the differentiated communication degradation factors of active and reactive power channels based on the communication signal strength of each node, and converts them into corresponding equivalent feeder impedances. It then constructs a dual-channel asymmetric site selection optimization model, which fully considers the uneven distribution of feeder communication signals in rural power distribution networks and the asymmetric impact of communication degradation on active and reactive power regulation. This model achieves equivalent fusion modeling of communication conditions and electrical parameters, significantly improving the rationality and engineering practicality of the site selection and capacity determination results of the hybrid compensation device.

[0068] The above method will be described in detail below with reference to specific embodiments.

[0069] I. Model Parameter Calibration Example In a certain 10kV test feeder (LGJ-120, Ω / km, =5km, pole spacing 50m, Un=10kV =500kVA =10.2kV, =2h) End pole installation =30kWh =50kvar standard device. Under good communication conditions (RSSI=-85dBm), a standard photovoltaic sag disturbance (100%→30% within 10s) was applied, and the reference voltage deviation using only the active power mode was measured. =0.32Un and the reference voltage deviation using only reactive mode Un. The RSSI was gradually reduced to -90, -95, -100, -105, and -110 dBm. The voltage deviation was recorded when only active power and reactive power were used, and the RSSI levels at each level were calculated. and : RSSI = -90dBm: =0.89, =0.97 RSSI = -95dBm: =0.72, =0.93 RSSI = -100dBm: =0.48, =0.84 RSSI = -105dBm: =0.21, =0.68 RSSI = -110dBm: =0.02≈0, =0.45 Depend on Convert the degradation factor at each RSSI level, and convert (RSSI, ) and (RSSI, By performing least squares fitting according to the degradation factor model formula, we obtain... =1.82、 =0.45. Based on this, the measured values ​​at each RSSI level are... With model calculation The objective is to minimize the sum of squares of the differences. and By performing least squares estimation, we get =0.30、 =0.12. The following examples are calculated according to this calibration value.

[0070] II. Feeder Location and Capacity Implementation Examples A 10kV rural feeder line, 12km in total length, LGJ-120 ( Ω / km), pole spacing 50m, N=240. Total load 800kVA approximately uniformly distributed, feeder head voltage kV. Equivalent load current Effective battery discharge time . , , Yuan / pole. Capacity , Voltage acceptable range 0.95Un~1.05Un). Optimization employs a grid search method, traversing the capacity range with E in 1kWh steps and Q in 1kvar steps, calculating for each (E,Q) combination. Select the scheme that meets the voltage constraint. The minimum value is the optimal solution for that node. Voltage compliance rate is defined as: at a given load level ( Within the range of photovoltaic power output fluctuations, fall into[ The result was obtained by sampling verification calculation of the optimized scheme.

[0071] RSSI distribution along the route: RSSI -85 to -95dBm for the first 100 poles (0 to 5km), RSSI -95 to -108dBm for the 101st to 160th poles (5 to 8km), RSSI -112 to -120dBm for the 161st to 200th poles (8 to 10km), and RSSI < -120dBm for the 201st to 240th poles (10 to 12km).

[0072] Select three representative pole positions.

[0073] Node A (60th pole, 3km, RSSI≈-88dBm): Ω. RSSI ≥ -85dBm can be approximated =0, =0.81Ω. Optimization: E=38kWh, Q=55kvar, Q / E=1.45, cost 78,500 yuan, pass rate 99.3%.

[0074] Node B (140th pole, 7km, RSSI≈-102dBm): Ω. , The normalized RSSI position is (85-102) / (85-110) = 0.68. . . , . , . This weakens the active voltage support effect to the level when communication is intact. , The reactive power voltage support effect is weakened to 1.89 / 1.941≈97%, while the active power reduction (13%) is much greater than the reactive power reduction (3%), making reactive power relatively "cheaper". The optimal solution is E=25kWh, Q=58kvar, Q / E=2.32. The cost is 1500×25+300×58+5000=37500+17400+5000=59900 yuan. The pass rate is 98.5%.

[0075] Node C (200th pole, 10km) ): =2.70Ω. =1, =0.45. Ω, Ω. =2.70 + 0.81 = 3.51Ω =2.70+0.146=2.846Ω. =3.51Ω weakens the active voltage support effect to approximately 77% of the level when communication is intact (2.70 / 3.51≈77%). =2.846Ω weakens the reactive power voltage support effect to 2.70 / 2.846≈95%, significantly compressing the active power support. The optimal solution is E=18kWh (near the lower limit, active power is basically unusable), Q=105kvar, Q / E=5.83. The cost is 1500×18+300×105+5000=27000+31500+5000=63500 yuan. The pass rate is 96.8%.

[0076] The voltage compliance is verified using the scheme at node B as an example. =10.2kV, =0.0462kA, =0.27Ω / km, =12km, =2h, Un=10kV, =1.89Ω, =2.172Ω, =1.941Ω: =0.0462×0.27×12 / 2≈0.075kV =(25×1.89²) / (1000×2×10×2.172)=(25×3.572) / 43440≈0.0021kV =(58×1.89²) / (1000×10×1.941)=(58×3.572) / 19410≈0.0107kV =10.2-0.075+0.0021+0.0107≈10.138kV (approximately 1.014pu), which satisfies the [9.5,10.5]kV constraint.

[0077] The comparison of the three nodes reveals the core value of the asymmetric model. Node B (7km) has the lowest total cost (59,900 yuan), which is 24% lower than Node A (3km, the optimal area for pure electrical systems) at 78,500 yuan, and 6% lower than Node C (10km, the area with the highest sensitivity for pure electrical systems) at 63,500 yuan, while maintaining a voltage compliance rate of over 96.8%. The reason for Node B's superiority is that when RSSI = -102dBm... =0.497 (active power degraded by nearly half) and =0.224 (reactive power degradation is only 20%) =2.172Ω is much greater than =1.941Ω. The model automatically reduces the battery capacity (E=25kWh, far lower than 38kWh at node A) and increases the capacitor capacity (Q=58kvar), replacing the communication sensitivity of active power with the communication robustness of reactive power, achieving the lowest cost while meeting voltage constraints. This adaptive adjustment cannot be achieved by "adding a communication constraint". Only a dual-channel asymmetric model can identify and utilize the differential voltage support efficiency of active / reactive power under communication degradation.

[0078] Final Top-3 Recommendations: Rank 1: 140th pole (7km), E=25kWh, Q=58kvar, Q / E=2.32, Cost: 59,900 yuan. Rank 2: 150th pole (7.5km), E=23kWh, Q=62kvar, Q / E=2.70, Cost: 60,800 yuan. Rank 3: 200th pole (10km), E=18kWh, Q=105kvar, Q / E=5.83, Cost: 63,500 yuan.

[0079] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0080] The following are device embodiments of the present invention. For details not described in detail, please refer to the corresponding method embodiments described above.

[0081] Figure 2 A schematic diagram of the location and capacity determination device for a distribution network compensation device considering communication reachability, provided in an embodiment of the present invention, is shown. For ease of explanation, only the parts relevant to the embodiment of the present invention are shown, and are described in detail below: like Figure 2 As shown, the location and capacity determination device for distribution network compensation devices, considering communication accessibility, includes: The node discretization module 21 is used to discretize the feeder to obtain multiple candidate nodes; The degradation factor calculation module 22 is used to determine the active channel communication degradation factor and reactive channel communication degradation factor of each candidate node based on the received signal strength indication of each candidate node. The equivalent impedance conversion module 23 is used to determine the active equivalent feeder impedance of each candidate node based on the active channel communication degradation factor of each candidate node; and to determine the reactive equivalent feeder impedance of each candidate node based on the reactive channel communication degradation factor of each candidate node. The modeling and solving module 24 is used to construct a dual-channel asymmetric location optimization model based on the active equivalent feeder impedance, the reactive equivalent feeder impedance and feeder electrical parameters, and solve for the location and capacity scheme.

[0082] In one possible implementation, the degradation factor calculation module 22 may include: The differential solution unit is used to determine the active channel communication degradation factor and reactive channel communication degradation factor of any candidate node based on the received signal strength indication of the candidate node, combined with the degradation curve shape parameter and the reactive power base retention coefficient; wherein the active channel communication degradation factor of the candidate node is not less than the reactive channel communication degradation factor of the candidate node.

[0083] In one possible implementation, the differentiated solution unit may include: The first degradation factor calculation subunit is used to obtain the active channel communication degradation factor of the candidate node based on the received signal strength indication and degradation curve shape parameters of the candidate node, combined with the first formula. The second degradation factor calculation subunit is used to obtain the reactive channel communication degradation factor of the candidate node based on the received signal strength indication, degradation curve shape parameters and reactive base retention coefficient of the candidate node, combined with the second formula. The first formula may include: ,when ,when ,when in, Candidate nodes Active channel communication degradation factor, Candidate nodes The received signal strength indicator, For the communication integrity threshold, This is the communication interruption threshold. These are the parameters for the shape of the degradation curve; The second formula may include: ,when ,when ,when in, Candidate nodes Reactive channel communication degradation factor, This is the reactive power base retention factor.

[0084] In one possible implementation, the equivalent impedance transformation module 23 includes: The first impedance calculation unit is used to obtain the actual line impedance at any candidate node; determine the active equivalent additional impedance of the candidate node based on the active channel communication degradation factor and the actual line impedance; and add the active equivalent additional impedance to the actual line impedance to obtain the active equivalent feeder impedance of the candidate node. The second impedance calculation unit is used to obtain the actual line impedance at any candidate node; determine the reactive equivalent additional impedance of the candidate node based on the reactive channel communication degradation factor and the actual line impedance; and add the reactive equivalent additional impedance to the actual line impedance to obtain the reactive equivalent feeder impedance of the candidate node.

[0085] In one possible implementation, the first impedance calculation unit can be specifically used to: determine the active equivalent additional impedance of the candidate node based on the active channel communication degradation factor and the actual line impedance of the candidate node, combined with the third formula. The third formula may include: in, Candidate nodes The active equivalent additional impedance, Candidate nodes Active channel communication degradation factor, The active power equivalence coefficient, Candidate nodes The actual line impedance at the location; The second impedance calculation unit can be specifically used to: determine the reactive equivalent additional impedance of the candidate node based on the reactive channel communication degradation factor and the actual line impedance of the candidate node, combined with the fourth formula. The fourth formula may include: in, Candidate nodes The reactive equivalent additional impedance, Candidate nodes Reactive channel communication degradation factor, This is the reactive power equivalent coefficient.

[0086] In one possible implementation, the modeling and solving module 24 may include: The terminal voltage calculation unit is used to determine the terminal voltage of the feeder based on the equivalent active power feeder impedance, the equivalent reactive power feeder impedance, and the feeder electrical parameters, using a simplified radial feeder voltage drop / rise superposition model. The model building unit is used to construct a dual-channel asymmetric addressing optimization model based on the feeder end voltage and with the objective function of minimizing total cost.

[0087] In one possible implementation, a simplified radial feeder voltage drop / rise superposition model may include: in, This is the voltage at the end of the feeder. This refers to the voltage at the beginning of the feeder line; Candidate nodes The voltage drop generated at the end of the feeder by a uniformly distributed load. Candidate nodes The voltage rise caused by the active power compensation of the compensation device at the location. Candidate nodes Voltage rise caused by reactive power compensation of the compensation device at the location; This is the feeder equivalent load current. The resistance per unit length of the line. This is the total length of the feeder; Candidate nodes Battery capacity at the location, Candidate Nodes The capacitance at that location; Candidate nodes The actual line impedance at that location. For effective discharge duration, This is the rated line voltage; Candidate nodes The active equivalent feeder impedance and the reactive equivalent feeder impedance.

[0088] In one possible implementation, the dual-channel asymmetric addressing optimization model may include: in, For total cost, Cost per unit capacity of storage battery The cost per unit capacity of a supercapacitor. The cost includes fixed installation and supporting equipment (one-time cost). This is the voltage at the end of the feeder. These are the minimum and maximum terminal voltages, respectively. Candidate nodes The active equivalent feeder impedance and the reactive equivalent feeder impedance. Candidate nodes Battery capacity at the location, These are the minimum battery capacity and the maximum battery capacity, respectively. Candidate Nodes The capacitance at that location, These are the minimum and maximum capacitance values, respectively. This represents the total number of candidate nodes.

[0089] In one possible implementation, the above-described apparatus may further include: The test module is used to test the feeder and obtain multiple active channel communication degradation factor and reactive channel communication degradation factor data points; The parameter calibration module is used to fit multiple data points using the least squares fitting method to obtain the shape parameters of the degradation curve and the reactive power base retention coefficient.

[0090] Figure 3 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. Figure 3 As shown, the electronic device 3 of this embodiment includes a processor 30 and a memory 31. The memory 31 stores a computer program 32. When the processor 30 executes the computer program 32, it implements the steps in the various method embodiments described above. Alternatively, when the processor 30 executes the computer program 32, it implements the functions of each module / unit in the various device embodiments described above.

[0091] For example, computer program 32 may be divided into one or more modules / units, which are stored in memory 31 and executed by processor 30 to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of computer program 32 in electronic device 3.

[0092] Electronic device 3 may include, but is not limited to, processor 30 and memory 31. Those skilled in the art will understand that... Figure 3 This is merely an example of electronic device 3 and does not constitute a limitation on electronic device 3. It may include more or fewer components than shown, or combine certain components, or different components. For example, electronic device 3 may also include input / output devices, network access devices, buses, etc.

[0093] The processor 30 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. The general-purpose processor can be a microprocessor or any conventional processor.

[0094] The memory 31 can be an internal storage unit of the electronic device 3, such as a hard disk or memory of the electronic device 3. The memory 31 can also be an external storage device of the electronic device 3, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the electronic device 3. Furthermore, the memory 31 can include both internal and external storage units of the electronic device 3. The memory 31 is used to store the computer program 32 and other programs and data required by the electronic device 3. The memory 31 can also be used to temporarily store data that has been output or will be output.

[0095] For the sake of simplicity and clarity, only the above-described functional modules / units are used as examples. In practical applications, the functions described above can be assigned to different functional modules / units as needed. These modules / units can be implemented in hardware, software, or a combination of both.

[0096] This invention also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it implements the methods described in the above-described method embodiments.

[0097] This invention also provides a computer program product, including a computer program. When the computer program is executed by a processor, it implements the methods described in the above-described method embodiments.

[0098] Computer programs include computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. Computer-readable media can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0099] In the above embodiments, the descriptions of each embodiment have their own emphasis. Parts not detailed or described in a particular embodiment can be referred to in the relevant descriptions of other embodiments. Unless otherwise specified or in conflict with logic, the terminology and / or descriptions between different embodiments are consistent and can be referenced interchangeably. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0100] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for site selection and capacity determination of distribution network compensation devices considering communication reachability, characterized in that, include: The feeder is discretized to obtain multiple candidate nodes; Based on the received signal strength indication of each candidate node, the active channel communication degradation factor and reactive channel communication degradation factor of each candidate node are determined. The active equivalent feeder impedance of each candidate node is determined based on the active channel communication degradation factor of each candidate node; the reactive equivalent feeder impedance of each candidate node is determined based on the reactive channel communication degradation factor of each candidate node. Based on the equivalent active power feeder impedance, the equivalent reactive power feeder impedance, and the feeder electrical parameters, a dual-channel asymmetric location optimization model is constructed, and the location and capacity scheme is obtained by solving the model.

2. The method for site selection and capacity determination of distribution network compensation devices considering communication reachability according to claim 1, characterized in that, The determination of the active channel communication degradation factor and reactive channel communication degradation factor for each candidate node based on the received signal strength indication of each candidate node includes: For any candidate node, based on the received signal strength indication of the candidate node, combined with the degradation curve shape parameter and the reactive power base retention coefficient, the active power channel communication degradation factor and the reactive power channel communication degradation factor of the candidate node are determined; wherein, the active power channel communication degradation factor of the candidate node is not less than the reactive power channel communication degradation factor of the candidate node.

3. The method for site selection and capacity determination of distribution network compensation devices considering communication reachability according to claim 2, characterized in that, The step of determining the active channel communication degradation factor and reactive channel communication degradation factor of the candidate node based on the received signal strength indication of the candidate node, combined with the degradation curve shape parameter and the reactive power base retention coefficient, includes: Based on the received signal strength indication of the candidate node and the shape parameters of the degradation curve, the active channel communication degradation factor of the candidate node is obtained by combining the first formula. Based on the received signal strength indication of the candidate node, the degradation curve shape parameters, and the reactive power base retention coefficient, the reactive power channel communication degradation factor of the candidate node is obtained by combining the second formula. The first formula includes: ,when ,when ,when in, Candidate nodes Active channel communication degradation factor, Candidate nodes The received signal strength indicator, For the communication integrity threshold, This is the communication interruption threshold. The shape parameters of the degradation curve; The second formula includes: ,when ,when ,when in, Candidate nodes Reactive channel communication degradation factor, The reactive power base retention factor is denoted as .

4. The method for site selection and capacity determination of distribution network compensation devices considering communication reachability according to any one of claims 1 to 3, characterized in that, The determination of the active equivalent feeder impedance of each candidate node based on the active channel communication degradation factor of each candidate node includes: For any candidate node, obtain the actual line impedance at the candidate node; determine the active equivalent additional impedance of the candidate node based on the active channel communication degradation factor of the candidate node and the actual line impedance; add the active equivalent additional impedance to the actual line impedance to obtain the active equivalent feeder impedance of the candidate node. The step of determining the reactive equivalent feeder impedance of each candidate node based on the reactive channel communication degradation factor of each candidate node includes: For any candidate node, obtain the actual line impedance at the candidate node; determine the reactive equivalent additional impedance of the candidate node based on the reactive channel communication degradation factor of the candidate node and the actual line impedance; add the reactive equivalent additional impedance to the actual line impedance to obtain the reactive equivalent feeder impedance of the candidate node.

5. The method for site selection and capacity determination of distribution network compensation devices considering communication reachability according to claim 4, characterized in that, The step of determining the active equivalent additional impedance of the candidate node based on the active channel communication degradation factor of the candidate node and the actual line impedance includes: Based on the active channel communication degradation factor of the candidate node and the actual line impedance, the active equivalent additional impedance of the candidate node is determined in conjunction with the third formula. The third formula includes: in, Candidate nodes The active equivalent additional impedance, Candidate nodes Active channel communication degradation factor, The active power equivalence coefficient, Candidate nodes The actual line impedance at the location; The step of determining the reactive equivalent additional impedance of the candidate node based on the reactive channel communication degradation factor of the candidate node and the actual line impedance includes: Based on the reactive channel communication degradation factor of the candidate node and the actual line impedance, the reactive equivalent additional impedance of the candidate node is determined in conjunction with the fourth formula. The fourth formula includes: in, Candidate nodes The reactive equivalent additional impedance, Candidate nodes Reactive channel communication degradation factor, This is the reactive power equivalent coefficient.

6. The method for site selection and capacity determination of distribution network compensation devices considering communication reachability according to any one of claims 1 to 3, characterized in that, The method for constructing a dual-channel asymmetric location optimization model based on the equivalent active power feeder impedance, the equivalent reactive power feeder impedance, and feeder electrical parameters includes: Based on the equivalent active power feeder impedance, the equivalent reactive power feeder impedance, and the feeder electrical parameters, a simplified radial feeder voltage drop / rise superposition model is used to determine the feeder end voltage. Based on the feeder end voltage, the dual-channel asymmetric addressing optimization model is constructed with the objective function of minimizing total cost.

7. The method for site selection and capacity determination of distribution network compensation devices considering communication reachability according to claim 6, characterized in that, The simplified radial feeder voltage drop / rise superposition model includes: in, The voltage at the end of the feeder. This refers to the voltage at the beginning of the feeder line; Candidate nodes The voltage drop generated at the end of the feeder by a uniformly distributed load. Candidate nodes The voltage rise caused by the active power compensation of the compensation device at the location. Candidate nodes Voltage rise caused by reactive power compensation of the compensation device at the location; This is the feeder equivalent load current. The resistance per unit length of the line. This is the total length of the feeder; Candidate nodes Battery capacity at the location, Candidate Nodes The capacitance at that location; Candidate nodes The actual line impedance at that location. For the effective discharge duration, This is the rated line voltage; Candidate nodes The active equivalent feeder impedance and the reactive equivalent feeder impedance.

8. The method for site selection and capacity determination of distribution network compensation devices considering communication reachability according to claim 6, characterized in that, The dual-channel asymmetric addressing optimization model is as follows: in, The total cost is... Cost per unit capacity of storage battery The cost per unit capacity of a supercapacitor. The cost includes fixed installation and supporting equipment (one-time cost). The voltage at the end of the feeder. These are the minimum and maximum terminal voltages, respectively. Candidate nodes The active equivalent feeder impedance and the reactive equivalent feeder impedance. Candidate nodes Battery capacity at the location, These are the minimum battery capacity and the maximum battery capacity, respectively. Candidate Nodes The capacitance at that location, These are the minimum and maximum capacitance values, respectively. This represents the total number of candidate nodes.

9. The method for site selection and capacity determination of distribution network compensation devices considering communication reachability according to any one of claims 2 to 3, characterized in that, The method further includes: The feeder was tested to obtain multiple active channel communication degradation factor and reactive channel communication degradation factor data points; The least squares method is used to fit multiple data points to obtain the shape parameters of the degradation curve and the reactive power base retention coefficient.

10. An electronic device, characterized in that, It includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the distribution network compensation device location and capacity determination method considering communication reachability as described in any one of claims 1 to 9.

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