Multi-stage control method, system and equipment for asymmetric rate of large-scale distributed power distribution network and medium

Abstract

The invention discloses a large-scale distributed power distribution network asymmetric rate multi-stage control method, system, device and medium, and belongs to the technical field of power system control, the large-scale distributed power distribution network asymmetric rate multi-stage control system comprises an electric energy dispatching center, a data processing relay and a power supply terminal, and the dispatching center comprises a main dispatching center and a secondary dispatching center; the scheduling signals of the main scheduling center are detected, scheduling signal sending time slots of the secondary scheduling center and the data processing relay are optimized, and the optimal signal sending time slot is given. The signal transmission rate of the secondary scheduling link can be maximized on the premise that the main scheduling signal is not influenced. The problems that the positions of the power distribution terminals in the large-scale distributed power distribution network are dispersed, and the communication capability is weak are solved, and the transmission performance of the scheduling signal of the secondary scheduling link is effectively improved on the premise that the reliability and the rate of the signal of the main scheduling link are not affected.

Description

Technical Field

[0001] This invention relates to the field of power system control technology, specifically to a method, system, equipment, and medium for asymmetric rate multi-level control of large-scale distributed distribution networks. Background Technology

[0002] With the rapid development of new energy technologies and the widespread integration of large-scale distributed energy resources, power distribution systems are facing unprecedented challenges. These challenges mainly manifest in the dispersion of controllable resources, weak communication capabilities, insufficient measurement information, and inaccurate system parameters. Among these, the problems of insufficient measurement information and inaccurate system parameters can be addressed through strategies such as autonomous power generation and distribution network clusters. The dispatching terminal is only responsible for the overall coordination of power dispatch and does not participate in the specific operation control of the power supply terminals in the distribution network. However, the dispersed locations of the power supply terminals and the relatively weak communication capabilities consistently affect the overall energy dispatch efficiency and reliability of distributed distribution networks. Furthermore, since power supply and distribution terminal equipment typically belongs to different operators, unified dispatching by a single dispatching terminal presents practical difficulties.

[0003] Therefore, a new power dispatching strategy is needed to address these challenges and ensure the stability and efficiency of power grid dispatching. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by this invention is the power dispatch and management requirements of power distribution networks under large-scale distributed energy access.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a method for asymmetric rate multi-level control of large-scale distributed distribution networks, comprising,

[0007] The two-tiered power dispatch center consists of a primary dispatch center and a secondary dispatch center. The primary dispatch center issues power dispatch commands to any power terminal and determines whether the command interferes with the primary dispatch link signal. If the primary dispatch link signal is interfered with, the secondary dispatch center and the data processing relay remain silent. If the primary dispatch link signal is not interfered with, the secondary dispatch center selects the optimal link state, chooses an appropriate time slot, and transmits the dispatch command to the data processing relay. The data processing relay selects the optimal link state and transmits the dispatch command to the power terminal, repeatedly determining whether the primary dispatch link signal is interfered with.

[0008] As a preferred embodiment of the asymmetric rate multi-level control method for a large-scale distributed distribution network described in this invention, the step of selecting the optimal link state includes performing mathematical modeling for the asymmetric rate multi-level control system of the large-scale distributed distribution network.

[0009] Formulating the control system link state selection problem;

[0010] Optimization solution for the control system link state selection problem.

[0011] As a preferred embodiment of the asymmetric rate multi-level control method for a large-scale distributed distribution network described in this invention, the mathematical modeling includes assuming the target system as a flat block fading channel and dividing time into time slots.

[0012] Establish a channel model between the main dispatch center, secondary dispatch center, and data processing relay, and consider signal interference.

[0013] As a preferred embodiment of the asymmetric rate multi-level control method for a large-scale distributed power distribution network described in this invention, the optimization solution of the control system link state selection problem includes eliminating interference and maximizing the transmission rate of the secondary scheduling link.

[0014] Set the half-duplex limit and buffer processing capacity of the data processing relay, and determine the optimal link selection strategy;

[0015] Considering interference processing of instantaneous channel state information and statistical channel state information, the optimal solution is obtained;

[0016] Optimize link selection strategy based on secondary scheduling link signal transmission rate and delay.

[0017] As a preferred embodiment of the large-scale distributed power distribution network asymmetric rate multi-level control method described in this invention, the interference elimination includes: using an orthogonal interference elimination method at the main dispatch center and the secondary dispatch center to collect instantaneous channel state information of the interference channel, the transmit power of the main dispatch center, the data transmission rate of the main dispatch center, and the codebook of the main dispatch center;

[0018] If in the i-th time slot, j∈{1,2}, 1 is the link from the secondary scheduling center to the data processing relay, and 2 is the link from the data processing relay to the target power terminal of the secondary scheduling center, when |h pj (i)| 2 <a、a≤|h pj (i)| 2 <b and b≤|h pj (i)| 2 At that time, the dispatch signals from the main dispatch center caused weak interference, moderate interference, and strong interference, respectively.

[0019] Under weak interference conditions, the target power terminal of the data processing relay and secondary dispatch center cannot decode the main interference signal and treats it as noise.

[0020] Under moderate interference conditions, the target power terminal of the data processing relay and secondary dispatch center decodes and eliminates the main interference by using superposition coding.

[0021] Under strong interference conditions, the target power terminal of the secondary dispatch center decodes and eliminates interference through continuous interference cancellation technology;

[0022] Setting C s1 (i) and C s2 (i) represents the maximum transmission rates of the two links from the secondary dispatch center to the data processing relay and from the data processing relay to the secondary dispatch center, respectively, belonging to C. sj (i) The CSI of the interference channel, for j∈{1,2}, yields C sj (i):

[0023]

[0024] When channel state information of the interfering link is unavailable, the control signals from the main dispatch center are treated as noise, where P p and P s The control signal transmission power, h, represents the power transmitted between the primary and secondary dispatch centers, respectively. sj (i) represents the wireless channel coefficient between the secondary dispatch center and the data processing relay, R. p The control signal transmission rate of the main dispatch center, h Pj (i) Interference link channel coefficient between the main dispatch center and the data processing relay.

[0025] As a preferred embodiment of the asymmetric rate multi-level control method for a large-scale distributed distribution network described in this invention, the step of selecting the optimal link state of the data processing relay includes defining the states of q1(i) and q2(i) ∈ {0, 1} for selecting the data processing relay:

[0026] If q1(i) = 1, then the secondary scheduling center-data processing relay link is selected to transmit data in the i-th time slot; if q1(i) = 0, the secondary scheduling center-data processing relay link remains silent in the i-th time slot.

[0027] If q2(i) = 1, then the data processing relay-secondary dispatch center target power terminal link is selected for transmission in the i-th time slot; if q2(i) = 0, then the data processing relay-secondary dispatch center target power terminal link is not selected for data transmission in the i-th time slot. Due to the half-duplex limitation of the data processing relay, q1(i) = 1 and q2(i) = 1 cannot be true at the same time.

[0028] The average transmission rates of the secondary dispatch center-data processing relay link and the data processing relay-secondary dispatch center target power terminal link are denoted as follows: and Represented as:

[0029]

[0030] The average processing rate of the data processing relay is:

[0031]

[0032] A large buffer is rate-stable if and only if the average input rate equals the average processing rate. The maximum throughput of the auxiliary network can be obtained by solving the following optimization problem:

[0033]

[0034]

[0035]

[0036] Where q(i)=[q1(i),q2(i)], the C1 constraint assumes that the instantaneous CSI of the interference channel is available, and the C2 constraint ensures that the buffer rate of the data processing relay is stable; the set Q is defined as Q={[q1(i),q2(i)]|q1(i),q2(i)∈{0,1}∧q1(i)+q2(i)≤1}.

[0037] The beneficial effects of the preferred technical solution in this invention embodiment are as follows: It achieves both accuracy and universality in the analysis framework. Through rigorous mathematical models, the invention can quantitatively analyze system behavior under various channel conditions, rather than remaining at the level of qualitative description. This makes the proposed method not only applicable to specific scenarios but also theoretically universal and predictable, providing a solid theoretical basis for performance evaluation. It also achieves intelligent and adaptive interference handling. Compared with traditional fixed strategies, this step significantly improves the fault tolerance and throughput of secondary links. When conditions permit, interference signals are decoded and eliminated through OIC (Optical Interference Center), thus freeing up space for useful signals; when conditions are unfavorable, a conservative strategy is adopted to ensure basic communication. This flexibility is key to improving spectrum efficiency.

[0038] As a preferred embodiment of the large-scale distributed power distribution network asymmetric rate multi-level control method described in this invention, the selection of the optimal link state further includes: collecting the instantaneous CSI of the interference channel and calculating the instantaneous interference power and average interference power at the target power terminal in the main dispatch center.

[0039] Calculate the average interference power constraint under the condition of transient interference channel CSI;

[0040] The optimization problem under Statistical Interference Channel Instability (CSI) is solved by using the instantaneous interference channel interference (CSI) method.

[0041] Given the constraints of average interference power, instantaneous interference power, instantaneous CSI of the interference channel, and statistical CSI of the interference channel, calculate the optimal q1(i) and q2(i) that maximize the transmission rate of the secondary scheduling center's scheduling link.

[0042] The preferred technical solution in this invention embodiment has the following advantages: it achieves both high efficiency and practicality of the algorithm. The derived optimal strategy is no longer a complex numerical calculation, but is simplified to a threshold comparison. This means that in a real system, the data processing relay can quickly sense the channel state in each time slot and compare it with a pre-calculated fixed threshold value, making the optimal decision (receive, transmit, or remain silent) instantly. This low computational complexity makes the algorithm very suitable for real-time operation on resource-constrained industrial communication equipment.

[0043] Another objective of this invention is to provide an asymmetric rate multi-level control system for large-scale distributed power distribution networks.

[0044] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a large-scale distributed power distribution network asymmetric rate multi-level control system, comprising: a power dispatch center, a data processing relay, and a power supply terminal;

[0045] The power dispatch center is constructed as a two-tiered power dispatch center, comprising a primary dispatch center and a secondary dispatch center;

[0046] The data processing relay is used by the main dispatch center to issue power dispatch instructions to any power terminal and determine whether it interferes with the main dispatch link signal. When the main dispatch link signal is interfered with, the secondary dispatch center and the data processing relay remain silent.

[0047] When the primary scheduling link signal is not interfered with, the secondary scheduling center selects the optimal link state, selects an appropriate time slot, and transmits scheduling instructions to the data processing relay.

[0048] Select the optimal link state of the data processing relay and transmit the scheduling instruction to the power terminal to repeatedly determine whether it interferes with the main scheduling link signal.

[0049] The present invention provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the aforementioned asymmetric rate multi-level control method for a large-scale distributed power distribution network.

[0050] The present invention provides a computer-readable storage medium having a computer program stored thereon, characterized in that, when the computer program is executed by a processor, it implements the steps of the aforementioned asymmetric rate multi-level control method for a large-scale distributed power distribution network.

[0051] The beneficial effects of this invention are as follows: The large-scale distributed power distribution network asymmetric rate multi-level control method provided by this invention establishes a security foundation that guarantees the absolute priority of the main link by constructing a two-layer scheduling center architecture with clear primary and secondary distinctions. Furthermore, it adopts a buffer relay mode and establishes a precise mathematical model, providing a general analytical framework for system performance optimization. Its core lies in intelligently responding to different channel conditions through an OIC-based adaptive interference handling mechanism, transforming the optimal link state selection problem into a clear mathematical optimization model. Finally, through rigorous derivation, the complex problem is simplified into a low-complexity threshold decision rule, enabling data processing relays to make optimal judgments in real time. This invention significantly improves the average transmission rate of secondary links while absolutely guaranteeing the security of the main scheduling link, and can adapt to various practical scenarios (different CSI conditions and interference constraints), achieving a high-efficiency balance between security and spectral efficiency. Simultaneously, by providing a designable trade-off between rate and delay, it enhances the practicality and flexibility of the solution. Attached Figure Description

[0052] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 The above is a flowchart of an overall method for asymmetric rate multi-level control of a large-scale distributed power distribution network, provided as an embodiment of the present invention.

[0054] Figure 2 This is a schematic diagram of the software architecture of a large-scale distributed power distribution network asymmetric rate multi-level control method provided in one embodiment of the present invention.

[0055] Figure 3 This is a schematic diagram of the hardware architecture of a large-scale distributed power distribution network asymmetric rate multi-level control method provided in one embodiment of the present invention. Detailed Implementation

[0056] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0057] Example 1, referring to Figure 1 This is one embodiment of the present invention, which provides a method for asymmetric rate multi-level control of a large-scale distributed distribution network, comprising:

[0058] S100. Construct a two-tier power dispatch center, including a primary dispatch center and a secondary dispatch center;

[0059] S200: The main dispatch center issues power dispatch instructions to any power terminal and determines whether it interferes with the main dispatch link signal. When the main dispatch link signal is interfered with, the secondary dispatch center and data processing relay remain silent.

[0060] S300. When the primary scheduling link signal is not interfered with, the secondary scheduling center selects the optimal link state and an appropriate time slot to transmit scheduling instructions to the data processing relay.

[0061] S400: Select the optimal link state of the data processing relay and transmit the scheduling instruction to the power terminal to repeatedly determine whether it interferes with the main scheduling link signal.

[0062] Select the optimal link state of the data processing relay and transmit the scheduling instruction to the power terminal to repeatedly determine whether it interferes with the main scheduling link signal.

[0063] It should be noted that the core defect of the existing technology is that it cannot intelligently, dynamically, and efficiently utilize limited communication resources to process multiple priority scheduling tasks in parallel while ensuring the absolute security of the main scheduling link. This has become the main bottleneck in improving the overall scheduling capability and reliability of large-scale distributed distribution networks.

[0064] Therefore, to address the aforementioned problems, the steps S100-S400 aim to resolve the control signal conflicts and interference issues that arise when high-priority primary dispatch centers and low-priority secondary dispatch centers share wireless spectrum resources in large-scale distributed power distribution networks. Its core innovation lies in proposing an asymmetric rate multi-level control method. Through a sophisticated communication protocol and optimization algorithm, it intelligently and dynamically seeks transmission opportunities for secondary dispatch links while ensuring absolute priority and security of primary dispatch link communication, thereby maximizing the spectrum utilization efficiency and dispatch capability of the entire system.

[0065] Example 2, refer to Figure 1This is one embodiment of the present invention, which provides a method for asymmetric rate multi-level control of a large-scale distributed distribution network, comprising:

[0066] In this embodiment of the invention, the construction of a two-layer power dispatch center in S100 includes a primary dispatch center and a secondary dispatch center, and includes the following steps S101-S102:

[0067] S101, the power dispatch center includes a main dispatch center and a secondary dispatch center.

[0068] Considering the operational safety and rationality of the actual power distribution network, the main dispatch center can directly dispatch any power terminal, while the secondary dispatch center cannot control the power terminal being dispatched by the main dispatch center, and the secondary dispatch center needs to forward dispatch requests through data processing relays.

[0069] Considering that new energy power sources are typically located in remote areas and are far apart, wireless communication is used to control the power supply terminals. To improve the transmission rate and reliability of the secondary dispatch center signal under long-distance block fading channels, while reducing interference with the primary dispatch center signal, this invention employs a buffered relay mode as the operating mode for both the secondary dispatch center and the data processing relay. That is, the secondary dispatch center and the data processing relay can use an optimal link state selection method to choose when to transmit data and when to remain silent, thereby maximizing signal throughput.

[0070] S102. In order to design the optimal link state selection method, this invention first performs mathematical modeling of the target system. It is assumed that time is divided into time slots of equal length, all wireless links in the target scenario are affected by additive white Gaussian noise (AWGN) with a mean of zero and a variance of 1, and it is a flat block fading channel, that is, the fading coefficient is fixed in each time slot, but changes between each time slot.

[0071] Considering that in actual distribution networks, the power dispatching behavior of the secondary dispatch center needs to be reviewed and recorded, and that the complete dispatching behavior of the secondary power source occurs within a time window of N time slots, including signal transmission from the secondary dispatch center, signal reception and forwarding by the data processing relay, and corresponding operations by the secondary power source terminals, the distribution network model can be simplified as follows: Figure 2 As shown in the figure.

[0072] In the i-th time slot (out of a total of N time slots), the wireless channel coefficient between the main dispatch center and the dispatched power supply terminal can be expressed as g. p (i), the wireless channel coefficient between the secondary dispatch center and the data processing relay is expressed as h. s1 (i) The wireless channel between the data processing relay and the power terminal to be scheduled is h.s2 (i) Considering that the primary dispatch center, secondary dispatch center, and data processing relay share the same frequency band, signal interference may occur. The interference link channel coefficient between the primary dispatch center and the data processing relay can be expressed as h. p1 (i) The interference channel coefficient between the main dispatch center and the data processing relay is expressed as h. p2 (i) The interference channel coefficient between the power terminals scheduled by the secondary dispatch center and the primary dispatch center is represented by g. s2 (i) The interference channel coefficient between the data processing relay and the power terminals dispatched by the main dispatch center is represented by g. s1 (i). And it is assumed that these channel coefficients are ergodic and stationary stochastic processes.

[0073] In this invention, the control signal transmission power of the primary scheduling center and the secondary scheduling center is fixed, denoted as P respectively. p and P s Considering that the main dispatch center has the highest dispatch authority in the entire distribution network, the control signal transmission rate of the main dispatch center must also be fixed, denoted as R. p The average power and instantaneous power of the power terminals dispatched by the main dispatch center that are affected by interference are denoted as follows: and P int .

[0074] The data processing relay has sufficient memory to store scheduling signals received from the secondary scheduling center. At the end of the i-th time slot, the normalized information stored in the data processing relay is denoted as Q(i). At the data processing relay, data received from the secondary scheduling center is decoded, stored in a buffer, and finally forwarded to the target power terminal.

[0075] In one alternative embodiment, channel modeling can consider only the impact of path loss on the signal, ignoring fast fading and multipath effects; channel quality can be estimated based on distance, and a fixed transmission rate can be set; interference judgment can be based on a fixed interference margin, without considering instantaneous changes; however, the model is too simplified and cannot reflect actual channel changes, resulting in a high scheduling misjudgment rate.

[0076] In another alternative embodiment, channel modeling can assume that all channel states remain unchanged throughout the scheduling period, formulate a scheduling plan based on the initial channel measurement results, and no longer update it. Interference judgment is based on the initial interference level and is not adjusted with changes in the channel. However, it cannot adapt to the time-varying characteristics of the channel, the scheduling strategy is rigid, and the actual performance is poor.

[0077] In this embodiment of the invention, in S200, the main dispatch center issues a power dispatch command to any power terminal, determines whether it interferes with the main dispatch link signal, and when it interferes with the main dispatch link signal, the secondary dispatch center and the data processing relay remain silent, including the following steps S201-S203:

[0078] S201. In the strategy proposed in this invention, by using the Orthogonal Interference Cancellation (OIC) method at the primary and secondary dispatch centers, interference caused by the primary dispatch center's signal is decoded and eliminated under moderate and strong interference conditions, while being treated as noise under weak interference conditions. To decode and eliminate the primary dispatch center's signal interference via OIC, the target power terminals of the data processing relay and the secondary dispatch center must know the instantaneous channel state information (CSI) of the interfering channel, the primary dispatch center's transmit power, the primary dispatch center's data transmission rate, and the primary dispatch center's codebook.

[0079] S202. If in the i-th time slot, j∈{1,2}, when |h pj (i)| 2 <a、a≤|h pj (i)| 2 <b and b≤|h pj (i)| 2 At that time, the dispatch signals from the main dispatch center caused weak, moderate, and strong interference, respectively; among them and

[0080] Under weak interference conditions, the target power terminals of the data processing relay and secondary dispatch center cannot decode the primary interference signal and treat it as noise. Under moderate interference conditions, the target power terminals of the data processing relay and secondary dispatch center can decode and eliminate the primary interference by using superposition coding. If the primary interference signal is strong, the target power terminals of the secondary dispatch center can decode and eliminate the interference using continuous interference cancellation techniques. Assume C... s1 (i) and C s2 (i) represents the maximum transmission rates of the two links from the secondary dispatch center to the data processing relay and from the data processing relay to the secondary dispatch center, respectively. Assuming the CSI of the interference channel is known, and referring to the working principle of OIC, for j∈{1,2}, we can obtain C... sj (i).

[0081]

[0082] S203. If the Channel State Information (CSI) of the interfering link is unavailable, the control signals from the main dispatch center can always be treated as noise. Therefore, for j∈{1,2}, we can obtain...

[0083]

[0084] Similar in form to C sj (i) Weak disturbance state in the formula.

[0085] In an embodiment of the present invention, in step S300, when the primary scheduling link signal is not interfered with, the secondary scheduling center selects the optimal link state, selects an appropriate time slot, and transmits scheduling instructions to the data processing relay, including the following steps S301-S302:

[0086] S301. The objective of this invention is to select the state (silent, receive, or transmit) of the data processing relay in each time slot to maximize the signal transmission rate of the secondary scheduling link while satisfying the maximum tolerable interference generated by the primary scheduling signal.

[0087] This invention defines q1(i), q2(i) ∈ {0, 1} to select the state of the data processing relay; specifically, if q1(i) = 1, then the secondary scheduling center-data processing relay link is selected to transmit data in the i-th time slot. In this case, the secondary scheduling center operates at the maximum rate R. s1 (i)=C s1 (i) Transmit, data processing relay decoding and R s1 (i) Information bits / symbols are stored in their buffers. Therefore, the amount of information in the queue increases to Q(i) = Q(i-1) + R. s1 (i).

[0088] If q1(i) = 0, the secondary scheduling center-data processing relay link remains silent in the i-th time slot.

[0089] If q2(i) = 1, then the data processing relay-secondary dispatch center target power terminal link is selected for transmission in the i-th time slot, that is, the relay extracts R from its buffer. s2 (i)=min{Q(i-1),C s2 (i)} Information bits / symbols.

[0090] Therefore, the amount of information in the queue is reduced to Q(i) = Q(i-1) - R. s2 (i). If q2(i) = 0, the data processing relay-secondary dispatch center target power terminal link is not selected for data transmission in the i-th time slot.

[0091] Furthermore, due to the half-duplex constraint of the data processing relay, q1(i) = 1 and q2(i) = 1 cannot be true at the same time.

[0092] S302. In this invention, it is assumed that the secondary scheduling center always has scheduling information to send, and the number of time slots N is large. Therefore, the average transmission rates of the secondary scheduling center-data processing relay link and the data processing relay-secondary scheduling center target power terminal link are respectively denoted as... and It can be represented as:

[0093]

[0094] Assuming there is always enough information in the buffer, the average processing rate of the data processing relay is:

[0095]

[0096] A large buffer is rate-stable if and only if the average input rate equals the average processing rate. in this case, The maximum throughput of the auxiliary network can be obtained by solving the following optimization problem:

[0097]

[0098] st C1:P int ≤I thr ,

[0099]

[0100] Where q(i) = [q1(i), q2(i)]. In the above equation, constraint C1 assumes that the instantaneous CSI of the interfering channel is available; this is an ideal assumption. If the instantaneous CSI is not available, C1 can be replaced with...

[0101] This is a constraint assuming statistical CSI is available, which is typically the case. Constraint C1 limits the average interference power experienced by the target distribution terminal at the main dispatch center. or instantaneous interference power P int Not exceeding the interference threshold I thr .

[0102] Constraint C2 ensures that the buffer rate of the data processing relay is stable. The set Q is defined as Q={[q1(i),q2(i)]|q1(i),q2(i)∈{0,1}∧q1(i)+q2(i)≤1}.

[0103] In an alternative embodiment, selecting the optimal link state can be achieved by dividing time into fixed time slots and pre-allocating some time slots to a secondary scheduling center. During these time slots, the secondary scheduling center can send instructions, while the remaining time slots remain silent and do not perform real-time link state assessments, but only execute according to a predetermined plan. However, this process cannot adapt to dynamic changes in the channel, has low resource utilization, and limited throughput.

[0104] In another alternative embodiment, selecting the optimal link state can also be achieved by setting a signal-to-interference-plus-noise ratio (SINR) threshold and monitoring the interference level of the main link in real time. If the interference is below the threshold, the secondary scheduling center sends an instruction; otherwise, it remains silent, and the relay node simply forwards the data without caching or optimization. However, the judgment condition is coarse, which cannot maximize the rate and can easily lead to resource waste or interference.

[0105] In an embodiment of the present invention, S400 selects the optimal link state of the data processing relay and transmits a scheduling instruction to the power terminal to repeatedly determine whether it interferes with the main scheduling link signal, including the following steps S401-S402:

[0106] In an embodiment of the present invention, S401, in the proposed link selection strategy, it is first assumed that the instantaneous CSI of the secondary scheduling link is perfectly available. To this end, the secondary scheduling center and the target power terminal of the secondary scheduling center send pilot signals to the data processing relay, and the data processing relay performs channel estimation. Considering only the average interference power experienced by the target power distribution terminal of the primary scheduling center, two cases are considered: one is that the instantaneous CSI of the interference channel is available, and the other is that the statistical CSI of the interference channel is available.

[0107] To decode and eliminate signal interference from the primary dispatch link to the secondary dispatch link via OIC, the data processing relay and the target power terminal of the secondary dispatch center must know the instantaneous CSI of the interfering channel. If only the statistical CSI of the interfering channel is available in the auxiliary network, the interference of the primary dispatch signal cannot be decoded and eliminated; therefore, the primary dispatch signal must be treated as noise. The instantaneous interference power and average interference power at the target power terminal of the primary dispatch center can be expressed as:

[0108] P int =q1(i)P s |g s1 (i)| 2 +q2(i)P s |g s2 (i)| 2 ,

[0109] The average interference power at instantaneous CSI time can be expressed as:

[0110]

[0111] Only the average interference power at the statistical CSI time can be expressed as

[0112]

[0113] In the above formula, Ω1=E{|g s1 (i)| 2}, Ω2=E{|g s2 (i)| 2}, E{·} represents expectation.

[0114] In one alternative embodiment, interference handling can involve the secondary scheduling center and relay nodes transmitting signals at a fixed power without interference cancellation. The primary link interference is completely avoided by power control, and the primary link is kept free from interference by reducing the power of the secondary link. However, the transmission rate of the secondary link is severely limited, making efficient scheduling impossible.

[0115] In another alternative embodiment, interference handling can involve monitoring the activity status of the primary link. If the primary link is transmitting, the secondary link remains completely silent, transmitting only when the primary link is idle. This approach does not perform buffering or relay optimization, transmitting directly; however, it results in low resource utilization, high latency, inability to achieve continuous scheduling, and low throughput.

[0116] S402. In order to optimize the solution of the optimization problem, this invention introduces some variables for optimizing the link selection strategy.

[0117] Specifically, this invention defines the variables (μ, λ) and The Lagrange multipliers, which serve as constraints C1 and C2, correspond to the average interference power constraints under the conditions of instantaneous CSI and statistical CSI of the interference channel, respectively.

[0118] also, Let represent the Lagrange multipliers of constraint C2 under the instantaneous interference power constraint. These variables depend only on the channel statistics, and therefore are fixed for a given channel statistics.

[0119] First, consider the average interference power constraint under the condition of instantaneous interference channel CSI. The optimization problem in the solution is an integer programming problem. Since integer programming is difficult to handle, we can use q j The binary condition for (i)(j∈{1,2}), i.e., q j (i)∈{0,1}, relaxed to 0≤q j (i)≤1.

[0120] However, the optimal solution to the relaxed problem can be found in 0 ≤ q. j(i) is obtained on the boundary where ≤ 1. Therefore, relaxing the conditions will not affect the optimal solution of the original problem.

[0121] The present invention then investigates the necessary and sufficient conditions of the Karush-Kuhn-Tucker (KKT) for the relaxed linear optimization problem, and obtains the optimal solution through the KKT conditions.

[0122] The Lagrangian function of the relaxed optimization problem is:

[0123]

[0124] Where μ, λ, α j (i), β j (i) and These are constraints C1, C2, and q. j (i)≤1、q j The Lagrange multipliers for (i)≥0 and q1(i)+q2(i)≤1. By differentiating the Lagrange functions in the relaxed optimization problem with respect to q1(i) and q2(i) respectively and setting them equal to zero, we can obtain:

[0125]

[0126] If q(i) = [1,0] holds, then according to the complementary relaxation condition, α2(i) and β1(i) are zero. Substituting these variables into the above equation, we can obtain:

[0127] N(φ(i)+α1(i))=λC s1 (i)-μP s |g s1 (i)∣ 2 ·Γ1(i)

[0128]

[0129] Based on the duality feasibility condition, we can obtain Therefore, Γ1(i) is non-negative. Furthermore, by subtracting the two equations above, we can obtain:

[0130] Γ1(i)-Γ2(i)=N(α1(i)+β2(i))≥0

[0131] It is known that Γ1(i)≥0 and Γ1(i)≥Γ2(i) are necessary conditions for q(i)=[1,0] to be the optimal decision.

[0132] Using a similar method, we can obtain q(i) = [0,1] as a necessary condition for the optimal decision, and Γ1(i) ≤ 0 and Γ2(i) ≤ 0 as necessary conditions for q(i) = [0,0].

[0133] The optimal conditions are mutually exclusive in the cases q(i) = [1,0], [0,1], and [0,0], except when Γ1(i) = Γ2(i). However, since Pr{Γ1(i) = Γ2(i)} = 0, choosing q(i) = [0,1], [1,0], or [0,0] does not change the maximum throughput. Therefore, the necessary condition is also sufficient.

[0134] The Lagrange multipliers μ and λ depend only on the statistical properties of the channel, and constraints C1 and C2 are satisfied through a two-dimensional search. Since μ is a Lagrange multiplier with inequality constraints, μ ≥ 0 holds. Furthermore, if λ < 0, according to Γ1(i) - Γ2(i) = N(α1(i) + β2(i)) ≥ 0, Γ1(i) ≤ 0, which means that the secondary dispatch center-data processing relay link cannot be selected, resulting in a zero signal transmission rate for the secondary dispatch link. Therefore, λ < 0 is impossible. Similarly, λ > 1 is also impossible because the data processing relay-secondary dispatch center target power terminal link cannot be selected. Therefore, 0 ≤ λ ≤ 1 must hold.

[0135] The optimization problem under Statistical Interference Channel (CSI) can be solved similarly to that under Transient Interference Channel (CSI). Mathematically, the difference between CSI and CSI lies in the fact that Ω1 and Ω2 in equation (1.9) are replaced by |g... s1 (i)| 2 and |g s2 (i)| 2 Furthermore, in the case of Statistical Interference Channel (CSI), OIC is not applicable, and the primary interference signal must be treated as noise. Therefore, the optimal link selection strategy for Statistical Interference Channel (CSI) is similar to that for Transient Interference Channel (CSI), by treating the primary interference as noise and |g s1 (i)| 2 and |g s2 (i)| 2 We obtain the results by replacing Ω1 and Ω2 respectively. Under the instantaneous interference power constraint, the power constraint must be satisfied in each time slot. Therefore, in the optimal link selection strategy under the instantaneous interference power constraint, Γ1(i) and Γ2(i) should be multiplied by sign(I) respectively. thr -P s |g s1 (i)| 2 ) and sign(I thr -P s |g s2 (i)| 2 ).

[0136] S403. We can obtain the optimal q1(i) and q2(i) results for maximizing the transmission rate of the secondary scheduling center's scheduling link under various conditions, including constraints on average and instantaneous interference power, as well as instantaneous CSI and statistical CSI of the interference channel:

[0137]

[0138] Wherein, Γ1(i) and Γ2(i) are given by the following formulas:

[0139]

[0140] For the average interference power constraint with both instantaneous CSI and statistical CSI of the interference channel, the constants (μ, λ) and Obtained through a two-dimensional search to ensure that constraints C1 and C2 hold. For the case of instantaneous disturbance power constraints, constants are used. Constraint C2 is satisfied through a one-dimensional search. Using the signal relay link selection strategy proposed in the optimal q1(i) and q2(i) results maximizing the transmission rate of the secondary dispatch center's dispatch link, within each time slot, the secondary dispatch link eliminates interference from the primary dispatch link via OIC, and maximizes the signal transmission rate of the secondary dispatch link without affecting the primary dispatch center's target distribution terminal's reception of dispatch signals. This maximizes the signal transmission rate of the secondary dispatch link while keeping interference to the primary dispatch center's target distribution terminal below a specified threshold, and also eliminates the main interference to the data processing relay and the secondary dispatch center's target distribution terminal.

[0141] It should be noted that in the proposed strategy, secondary scheduling links will not transmit in all time slots. When Γ1(i) and Γ2(i) ≤ 0 are achieved under certain fading conditions, all nodes in the secondary scheduling links will remain silent.

[0142] In the proposed optimal link state selection method, compared with the traditional relay strategy that does not have buffering capabilities, the improvement of the secondary scheduling link signal transmission rate in this invention comes at the cost of increased end-to-end latency. However, by adjusting the size of the data processing relay buffer, the latency can be effectively reduced.

[0143] Example 3, referring to Figure 2 and Figure 3This is an embodiment of the present invention, and the above is a schematic scheme of an asymmetric rate multi-level control method for a large-scale distributed distribution network. It should be noted that the technical solution of an asymmetric rate multi-level control system for a large-scale distributed distribution network and the technical solution of the above-described asymmetric rate multi-level control method for a large-scale distributed distribution network belong to the same concept. Details not described in detail in the technical solution of the asymmetric rate multi-level control system for a large-scale distributed distribution network in this embodiment can be found in the description of the above-described asymmetric rate multi-level control method for a large-scale distributed distribution network.

[0144] This embodiment provides an asymmetric rate multi-level control system for a large-scale distributed power distribution network, including: a power dispatch center, a data processing relay, and a power supply terminal;

[0145] The power dispatch center is constructed as a two-tiered power dispatch center, comprising a primary dispatch center and a secondary dispatch center;

[0146] The data processing relay is used by the main dispatch center to issue power dispatch instructions to any power terminal and determine whether it interferes with the main dispatch link signal. When the main dispatch link signal is interfered with, the secondary dispatch center and the data processing relay remain silent.

[0147] When the primary scheduling link signal is not interfered with, the secondary scheduling center selects the optimal link state, selects an appropriate time slot, and transmits scheduling instructions to the data processing relay.

[0148] Select the optimal link state of the data processing relay and transmit the scheduling instruction to the power terminal to repeatedly determine whether it interferes with the main scheduling link signal.

[0149] This embodiment also provides an electronic device applicable to a large-scale distributed power distribution network asymmetric rate multi-level control method, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the large-scale distributed power distribution network asymmetric rate multi-level control method proposed in the above embodiment.

[0150] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, it implements a large-scale distributed power distribution network asymmetric rate multi-level control method as proposed in the above embodiment.

[0151] The storage medium proposed in this embodiment belongs to the same inventive concept as the method for implementing asymmetric rate multi-level control of a large-scale distributed power distribution network proposed in the above embodiments. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0152] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0153] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for asymmetric rate multi-level control of a large-scale distributed distribution network, characterized in that: include, The two-tiered power dispatch center system comprises a primary dispatch center and a secondary dispatch center. The main dispatch center issues power dispatch instructions to any power terminal and determines whether it interferes with the main dispatch link signal. When the main dispatch link signal is interfered with, the secondary dispatch center and data processing relay remain silent. When the primary scheduling link signal is not interfered with, the secondary scheduling center selects the optimal link state, selects an appropriate time slot, and transmits scheduling instructions to the data processing relay. Select the optimal link state of the data processing relay and transmit scheduling instructions to the power terminal to repeatedly determine whether it interferes with the main scheduling link signal.

2. The method for asymmetric rate multi-level control of a large-scale distributed distribution network as described in claim 1, characterized in that: The selection of the optimal link state includes mathematical modeling for the asymmetric rate multi-level control system of a large-scale distributed power distribution network. Formulating the control system link state selection problem; Optimization solution for the control system link state selection problem.

3. The method for asymmetric rate multi-level control of a large-scale distributed distribution network as described in claim 2, characterized in that: The mathematical modeling includes setting the target system as a flat block fading channel and dividing time into time slots; Establish a channel model between the main dispatch center, secondary dispatch center, and data processing relay, and consider signal interference.

4. The asymmetric rate multi-level control method for a large-scale distributed distribution network as described in claim 3, characterized in that: The optimization solution to the control system link state selection problem includes eliminating interference and maximizing the transmission rate of the secondary scheduling link. Set the half-duplex limit and buffer processing capacity of the data processing relay, and determine the optimal link selection strategy; Considering interference processing of instantaneous channel state information and statistical channel state information, the optimal solution is obtained; Optimize link selection strategy based on secondary scheduling link signal transmission rate and delay.

5. The asymmetric rate multi-level control method for a large-scale distributed distribution network as described in claim 4, characterized in that: The interference elimination includes using orthogonal interference elimination methods at the main scheduling center and the secondary scheduling center to collect instantaneous channel state information of the interference channel, the transmit power of the main scheduling center, the data transmission rate of the main scheduling center, and the codebook of the main scheduling center; If in the i-th time slot, j∈{1,2}, 1 is the link from the secondary scheduling center to the data processing relay, and 2 is the link from the data processing relay to the target power terminal of the secondary scheduling center, when |h pj (i)| 2 <a、a≤|h pj (i)| 2 <b and b≤|h pj (i)| 2 At that time, the dispatch signals from the main dispatch center caused weak interference, moderate interference, and strong interference, respectively. Under weak interference conditions, the target power terminal of the data processing relay and secondary dispatch center cannot decode the main interference signal and treats it as noise. Under moderate interference conditions, the target power terminal of the data processing relay and secondary dispatch center decodes and eliminates the main interference by using superposition coding. Under strong interference conditions, the target power terminal of the secondary dispatch center decodes and eliminates interference through continuous interference cancellation technology; Setting C s1 (i) and C s2 (i) represents the maximum transmission rates of the two links from the secondary dispatch center to the data processing relay and from the data processing relay to the secondary dispatch center, respectively, belonging to C. sj (i) The CSI of the interference channel, for j∈{1,2}, yields C sj (i): When channel state information of the interfering link is unavailable, the control signals from the main dispatch center are treated as noise, where P p and P s The control signal transmission power, h, represents the power transmitted between the primary and secondary dispatch centers, respectively. sj (i) represents the wireless channel coefficient between the secondary dispatch center and the data processing relay, R. p The control signal transmission rate of the main dispatch center, h Pj (i) Interference link channel coefficient between the main dispatch center and the data processing relay.

6. The method for asymmetric rate multi-level control of a large-scale distributed distribution network as described in claim 5, characterized in that: The selection of the optimal link state for the data processing relay includes defining the states of q1(i) and q2(i) ∈ {0,1} for selecting the data processing relay: If q1(i) = 1, then the secondary scheduling center-data processing relay link is selected to transmit data in the i-th time slot; if q1(i) = 0, the secondary scheduling center-data processing relay link remains silent in the i-th time slot. If q2(i) = 1, then the data processing relay-secondary dispatch center target power terminal link is selected for transmission in the i-th time slot; if q2(i) = 0, then the data processing relay-secondary dispatch center target power terminal link is not selected for data transmission in the i-th time slot. Due to the half-duplex limitation of the data processing relay, q1(i) = 1 and q2(i) = 1 cannot be true at the same time. The average transmission rates of the secondary dispatch center-data processing relay link and the data processing relay-secondary dispatch center target power terminal link are denoted as follows: and Represented as: The average processing rate of the data processing relay is: A large buffer is rate-stable if and only if the average input rate equals the average processing rate. The maximum throughput of the auxiliary network can be obtained by solving the following optimization problem: s.t.C1:P int ≤I thr , Where q(i)=[q1(i),q2(i)], the C1 constraint assumes that the instantaneous CSI of the interference channel is available, and the C2 constraint ensures that the buffer rate of the data processing relay is stable; the set Q is defined as Q={[q1(i),q2(i)]|q1(i),q2(i)∈{0,1}∧q1(i)+q2(i)≤1}.

7. The asymmetric rate multi-level control method for a large-scale distributed distribution network as described in claim 6, characterized in that: The selection of the optimal link state also includes collecting the instantaneous CSI of the interference channel and calculating the instantaneous interference power and average interference power on the target power terminal of the main dispatch center. Calculate the average interference power constraint under the condition of transient interference channel CSI; The optimization problem under Statistical Interference Channel Instability (CSI) is solved by using the instantaneous interference channel interference (CSI) method. Given the constraints of average interference power, instantaneous interference power, instantaneous CSI of the interference channel, and statistical CSI of the interference channel, calculate the optimal q1(i) and q2(i) that maximize the transmission rate of the secondary scheduling center's scheduling link.

8. A large-scale distributed distribution network asymmetric rate multi-stage control system, employing the large-scale distributed distribution network asymmetric rate multi-stage control method as described in any one of claims 1 to 7, characterized in that, include: Power dispatch center, data processing relay, power terminal; The power dispatch center is constructed as a two-tiered power dispatch center, comprising a primary dispatch center and a secondary dispatch center; The data processing relay is used by the main dispatch center to issue power dispatch instructions to any power terminal and determine whether it interferes with the main dispatch link signal. When the main dispatch link signal is interfered with, the secondary dispatch center and the data processing relay remain silent. When the primary scheduling link signal is not interfered with, the secondary scheduling center selects the optimal link state, selects an appropriate time slot, and transmits scheduling instructions to the data processing relay. Select the optimal link state of the data processing relay and transmit scheduling instructions to the power terminal to repeatedly determine whether it interferes with the main scheduling link signal.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the asymmetric rate multi-level control method for a large-scale distributed power distribution network as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the asymmetric rate multi-level control method for a large-scale distributed power distribution network as described in any one of claims 1 to 7.

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