Power distribution network reactive voltage control system and method based on multi-region end self-discipline cooperation

Abstract

The invention relates to the technical field of smart power grids, and discloses a power distribution network reactive voltage control system and method based on multi-region end self-discipline collaboration, and the method comprises the steps: monitoring the operation state of a system through accessed online monitoring data; monitoring and state warning are carried out on operation of the reactive voltage equipment, and the treatment effect of the reactive voltage equipment is analyzed; performing global decision through the reinforcement learning network model, outputting an optimal voltage regulation decision of the equipment intelligent agent, and issuing an instruction to a lower-level intelligent agent; the system display platform obtains equipment data from the MQTT, and displays a system operation state, an equipment operation state, equipment fault alarm and control effect analysis; setting business rules of equipment state monitoring, recording and displaying alarm logs and action logs, providing screening and paging functions, performing effect analysis on the action logs, calculating an optimization rate, and evaluating a control effect. Through wide application of the system, the problem of high voltage of users can be effectively suppressed, and safe, reliable and high-quality power supply of a power grid is realized.

Description

Technical Field

[0001] The present invention relates to the field of smart grid technology, and in particular to a distribution network reactive voltage control system and method based on multi-region terminal self-discipline and coordination. Background Art

[0002] Faced with the rapid economic development and the improvement of people's living needs, people urgently need to solve the problem of how to meet the growing demand for electricity and improve the quality of power supply, especially the voltage quality. Voltage quality has a direct impact on the stable operation of the distribution network and the daily life of users. Although the Southern Power Grid has achieved remarkable results in the optimization and control of reactive voltage in the main grid, the voltage quality management and reactive voltage control of the distribution network still face many challenges. The distribution network of the Southern Power Grid is complex and large, covering a wide range and with significant differences in characteristics in various regions. These factors have led to difficulties in voltage quality management. In particular, the voltage deviation in some areas is large and the voltage qualification rate is low, which affects the normal power consumption of users. There are many problems in the current reactive voltage control of the distribution network, including the single power supply mode, the weak communication function and the limitations of the automatic control system. These problems not only affect the stable operation of the power grid, but also bring many inconveniences to users.

[0003] In response to the above problems, this project focused on the distributed flexible control technology and analysis methods of distribution network voltage, carried out research on collaborative optimization architecture, control methods, data analysis, etc. of multi-regional station-side autonomous coordination of distribution networks, developed multi-regional autonomous collaborative intelligent terminals and voltage management equipment for distribution networks, and constructed a distribution network reactive voltage control system based on multi-regional terminal autonomous coordination, solving the problem of distribution network voltage control in Kunming, Yunnan. Summary of the invention

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

[0005] Therefore, the present invention provides a distribution network reactive voltage control system based on multi-regional terminal self-discipline and coordination, which can propose more effective and feasible voltage reactive optimization algorithm and optimization control method according to the characteristics of the distribution network, as well as the current status and needs of reactive voltage regulation in the distribution network, so as to ensure reactive compensation and reactive balance of the distribution network, ensure voltage quality, make the amplitude of voltage fluctuation within the allowable deviation range, improve the stability and safety of distribution network operation, and give full play to economic benefits.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions, which are based on a reactive voltage control system for a distribution network with multi-regional self-discipline and coordination, including: monitoring the system operation status through the accessed online monitoring data, monitoring the operation of reactive voltage equipment and status alarm, and analyzing the management effect of reactive voltage equipment; making global decisions through a reinforcement learning network model, outputting the optimal voltage regulation decision of the equipment agent, and issuing instructions to the subordinate agent; the system display platform obtains equipment data from MQTT, displays the system operation status, equipment operation status, equipment fault alarm and control effect analysis; sets business rules for equipment status monitoring, records and displays alarm logs and action logs, provides filtering and paging functions, performs effect analysis on action logs, calculates the optimization rate, and evaluates the control effect.

[0007] As an optimal solution for the reactive voltage control system of the distribution network based on multi-regional terminal self-discipline and coordination described in the present invention, the global decision includes that when 4G communication is normal, the master station intelligent agent makes a global decision based on all node monitoring quantities and system operation status through a reinforcement learning network model, outputs the optimal voltage regulation decision of the device intelligent agent, and issues instructions to the subordinate intelligent agent.

[0008] As an optimal solution for the reactive voltage control system of the distribution network based on multi-regional self-discipline and coordination as described in the present invention, the global decision also includes that when 4G is abnormal and Lora is normal, the substation intelligent body makes self-organizing network optimization decisions to achieve regional collaborative optimization; when both 4G and Lora are abnormal, the self-cooperative intelligent body within the substation makes optimization decisions, and the on-load voltage regulator acts as a coordinating intelligent body, which is wired to the lower-level reactive power source and makes decisions based on the reinforcement learning network.

[0009] As a preferred solution of the reactive voltage control system of the distribution network based on multi-region terminal self-discipline and coordination described in the present invention, wherein: the acquisition of equipment data includes basic information, real-time data, alarm information, indicator problems, operation data and reactive voltage problem distribution of the substation area detection;

[0010] Basic information, real-time data, alarm information, operation data and health status of line voltage regulator monitoring;

[0011] SVG monitoring basic information, real-time data, alarm information, historical operation data and status information;

[0012] Basic information, switching status, alarm information, real-time data and health status of capacitor monitoring;

[0013] Phase-changing switch monitoring basic information, real-time data, alarm information, operating data and health status.

[0014] As a preferred solution of the reactive voltage control system of the distribution network based on multi-regional terminal self-discipline and coordination described in the present invention, the business rules for setting equipment status monitoring include: the business rules for area monitoring are that a voltage greater than 235V is considered a high voltage problem, a voltage lower than 198V is considered a low voltage problem, a load rate lower than 30% is considered a light load, a load rate greater than 30% and less than 100% is considered a heavy load, and a load rate greater than 100% is considered an overload:

[0015]

[0016] If the power factor is less than 0.9, it is considered that the power factor exceeds the limit;

[0017] If the three-phase unbalance is greater than 20%, it is considered that there is a three-phase unbalance limit problem;

[0018]

[0019] Calculation of pass rate:

[0020]

[0021] The business rules for line regulator monitoring include switch operation life: the ratio of the remaining number of switch operations to the theoretical maximum number of operations;

[0022] Gear statistics: the number of times each gear is in place, with each adjustment counted once;

[0023] Status Radar: Displays the scores of each indicator, with a full score of 100;

[0024]

[0025] The health score is the average score of each indicator in the status radar, rounded to the nearest integer. The health score ring automatically changes color according to the score: 100-90 is green, 70-90 is orange, 50-70 is orange, and below 50 is red.

[0026] As a preferred solution of the reactive power voltage control system of the distribution network based on multi-region terminal self-discipline and coordination according to the present invention, wherein: the business rules for setting equipment status monitoring also include: the business rules for SVG monitoring on the indicators of the status radar in addition to the above-mentioned action effect score and temperature score, increase

[0027] Add the following content:

[0028]

[0029] The health scoring rules remain unchanged;

[0030] The business rules for phase-changing switch monitoring include phase statistics, that is, the ratio of the current phase operating time to the total operating time, and status radar. The status radar indicators include action effect score, temperature score, operating time score, and action number score. The health scoring rules remain unchanged.

[0031] Another object of the present invention is to provide a distribution network reactive voltage control method based on multi-regional terminal autonomous coordination, which can improve the intelligent management level of the distribution network, optimize reactive voltage control, ensure the stable operation of the power grid, and improve the overall operational efficiency.

[0032] As a preferred solution of the reactive voltage control method of the distribution network based on multi-region terminal self-discipline and coordination described in the present invention, a communication solution between intelligent terminals is constructed, and data is transmitted to the encryption gateway through a 4G encryption terminal, which is divided into two signals, MQTT and 104, to respectively realize global decision-making and operation data upload;

[0033] Calculate the power loss of the entire line according to the operating status of various equipment to reduce energy-saving benefits;

[0034] The communication scheme includes that the line voltage regulator and the reactive power compensation device of the substation are connected to the intelligent controller through 485, the intelligent controller is connected to the encryption terminal through the network cable, and the APN encryption terminal transmits data to the encryption gateway of the access area through 4G wireless, which is divided into two signals: one is to reach the MQTT front-end server through MQTT to realize the mutual data transmission between the terminals, and the intelligent controller and the MQTT front-end server input all node monitoring quantities and system operation status through MQTT to make global decisions, output the optimal voltage regulation decision of the equipment intelligent body, and issue instructions to the subordinate intelligent body;

[0035] The operation data is uploaded through 104 via the customer's front-end machine. The data is first uploaded to Area I, then synchronized to the server in Area III, and then transmitted to the WEB server in the form of an E file. The master station software obtains the management equipment data of the area by accessing the WEB server. The project master station is deployed at the power supply bureau end. Power supply bureau users can access the master station software on the monitoring workstation to understand the real-time data of the management area.

[0036] As a preferred solution of the reactive power voltage control method of the distribution network based on multi-region terminal self-discipline and coordination according to the present invention, wherein: the obtaining of the power loss of the entire line includes:

[0037] Calculate the line loss ΔA L

[0038]

[0039] Among them, R eg·i is the line equivalent resistance, P Pj is the average active power, QPj is the reactive power, K is the load factor, represents voltage parameter, t is time;

[0040] Calculate the loss ΔA of the distribution transformer winding T

[0041]

[0042] Among them, R eg·T Equivalent resistance of the transformer winding

[0043] Calculate the sum of the no-load losses of the distribution transformer ΔA0

[0044]

[0045] Where m represents the number of branches;

[0046] Among them, ΔP0 is the no-load loss of the distribution transformer, and T represents the period;

[0047] Calculate the power loss ΔA of the entire line

[0048] ΔA=ΔA L +ΔA T +ΔA0

[0049] Assuming that the total line loss before commissioning is ΔA1, and the total line loss after the reactive equipment is commissioned is ΔA2, the energy saving power before and after commissioning is

[0050] ΔA'=ΔA1-ΔA2.

[0051] A computer device includes a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, it implements the steps of a distribution network reactive voltage control system based on multi-regional terminal self-discipline and coordination.

[0052] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of implementing a distribution network reactive voltage control system based on multi-regional terminal autonomous coordination are implemented.

[0053] The beneficial effects of the present invention are as follows: ensuring the quality of electric energy and reasonably arranging the distribution of power flow to effectively maintain the normal level of system voltage; improving the operating stability of the system, ensuring the safe operation of the system, and preventing accidents caused by stability destruction; improving the economy of the system, reducing the active network loss of the power system, saving electric energy, and reducing the cost of power generation. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0055] Figure 1 A schematic diagram of the technical architecture of a distribution network reactive power and voltage control system based on multi-regional terminal autonomous coordination provided by an embodiment of the present invention.

[0056] Figure 2 A functional architecture of a distribution network reactive power and voltage control system based on multi-regional terminal autonomous coordination is provided as an embodiment of the present invention.

[0057] Figure 3 A substation page display page for a distribution network reactive voltage control system based on multi-regional terminal autonomous coordination provided by an embodiment of the present invention.

[0058] Figure 4 A schematic diagram of voltage regulator monitoring for a distribution network reactive voltage control system based on multi-region terminal autonomous coordination is provided for one embodiment of the present invention.

[0059] Figure 5 A schematic diagram of SVG monitoring of a distribution network reactive voltage control system based on multi-region terminal autonomous coordination is provided as an embodiment of the present invention.

[0060] Figure 6 A schematic diagram of phase-changing switch monitoring of a distribution network reactive voltage control system based on multi-region terminal autonomous coordination is provided as an embodiment of the present invention.

[0061] Figure 7 A schematic diagram of a warning log of a distribution network reactive voltage control system based on multi-region terminal autonomous coordination provided by an embodiment of the present invention.

[0062] Figure 8 A schematic diagram of an action log of a distribution network reactive power and voltage control system based on multi-regional terminal autonomous coordination provided by an embodiment of the present invention.

[0063] Fig. 9 This is a diagram showing the effect analysis page of a distribution network reactive power and voltage control system based on multi-regional self-coordination provided by an embodiment of the present invention.

[0064] Fig.10 A power factor curve diagram of a distribution network reactive power voltage control method based on multi-region terminal autonomous coordination provided by an embodiment of the present invention.

[0065] Fig.11A method for controlling reactive voltage of a distribution network based on multi-regional terminal self-discipline coordination provided by an embodiment of the present invention is provided.

[0066] Fig.12 A graph of the power factor after control of a reactive power voltage control method for a distribution network based on multi-regional terminal self-discipline and coordination according to an embodiment of the present invention. DETAILED DESCRIPTION

[0067] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0068] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0069] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0070] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0071] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0072] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0073] Example 1, reference Figure 1-Figure 9 , which is the first embodiment of the present invention, and provides a distribution network reactive voltage control system based on multi-region terminal self-discipline coordination, including:

[0074] S1: Monitor the system operation status through the accessed online monitoring data, monitor the operation of reactive voltage equipment and issue status alarms, and analyze the treatment effect of reactive voltage equipment.

[0075] Develop a multi-regional collaborative autonomous intelligent lean management system for the distribution network, monitor the system operation status through the accessed online monitoring data, monitor and issue status alarms for the operation of reactive voltage equipment such as SVG, capacitors, 10kV line voltage regulators, and phase-changing switches, and analyze the governance effect of reactive voltage equipment. The main contents include: system operation status monitoring, equipment status perception, fault alarm, control effect analysis and display, etc.

[0076] The reactive voltage device on the end side transmits data to the MQTT service through an encryption module. The display platform obtains device data from MQTT and displays the system operation status, device operation status, device fault alarm and control effect analysis on the system.

[0077] S2: Make global decisions through the reinforcement learning network model, output the optimal voltage regulation decision of the device agent, and issue instructions to the subordinate agents.

[0078] Furthermore, the global decision includes that when 4G communication is normal, the master station agent makes a global decision based on all node monitoring quantities and system operating status through a reinforcement learning network model, outputs the optimal voltage regulation decision of the device agent, and issues instructions to the subordinate agents.

[0079] The highest-level intelligent agent is responsible for the coordination layer decision-making, and makes learning and action decisions after obtaining relevant data information. At this time, there are complete communication links between each area and each node, and the data of distribution network automation equipment such as TTU can be normally accessed. The status of the equipment distribution network is basically observable. The reinforcement learning network model with full data access can be used to establish the highest-level "control brain" at the main station. After obtaining relevant monitoring information such as load and flow, the feature matrix of the current network status is extracted, and the action network and value network are used to make current voltage regulation action decisions and update related networks.

[0080] In the learning and training of the model, all the observations that the master station agent can obtain are used as input, and the output is the action decision of all the reactive power and voltage regulating equipment at the lower level, and the master station equipment agent is trained and learned. The corresponding physical model is constructed using the global optimization method to simulate the change of environmental state, and the benefit evaluation method is constructed based on the global voltage reactive power state to evaluate the decision value and realize the reinforcement learning of the equipment agent.

[0081] In summary, under normal 4G conditions, the master station agent makes global decisions. The input is the monitoring quantities of all nodes and the system operating status. The output is the optimal voltage regulation decision of the device agent. The decision is calculated at the master station and then instructions are issued to the subordinate agents.

[0082] Furthermore, the global decision also includes that when 4G is abnormal and Lora is normal, the station area intelligent body makes self-organizing network optimization decisions to achieve regional collaborative optimization;

[0083] When 4G is abnormal and Lora is normal, several adjacent agents can communicate with each other, but cannot communicate with the main station. At this time, collaboration can be carried out among multiple agents. According to pre-set rules, such as voltage impact sensitivity or location level, set the local coordination agent in the self-organizing network. The local coordination agent obtains information from other nodes, identifies the current communication area, and then outputs the voltage regulation reactive power decision of the agent within the current communication network range, realizing regional collaborative optimization decision-making.

[0084] When training the intelligent agent in the substation area, the input is the monitoring results that can be obtained in the communication area, which are merged with the state variables of the existing voltage-regulating reactive equipment and input into the state perception network CN to obtain the feature matrix. It then enters the action decision network to make decisions on the action of the intelligent agent and enters the value evaluation network to evaluate the benefits.

[0085] When both 4G and Lora are abnormal, the self-cooperative intelligent agents within the substation make optimization decisions. The on-load voltage regulator, as a coordinating intelligent agent, is connected to the underlying reactive power source by wire and makes decisions based on the reinforcement learning network.

[0086] Inside the substation, the on-load voltage regulator acts as a coordination agent and is wired to the underlying reactive power source, so there is no communication problem. The coordination agent of the on-load voltage regulator collects information from itself and the underlying agents, makes decisions based on the reinforcement learning network, and sends the decisions to the underlying reactive power source agent.

[0087] At this time, the learning and training model input of the on-load voltage regulation intelligent agent is the current monitoring information, historical monitoring information, current and historical information of reactive power supply under the substation, timestamp information, etc., and the output is the collaborative decision of itself and the wired connected intelligent agents under the substation.

[0088] S3: The system display platform obtains device data from MQTT and displays the system operation status, device operation status, device fault alarm and control effect analysis.

[0089] Furthermore, the acquired equipment data includes basic information of the substation detection, real-time data, alarm information, indicator problems, operation data and reactive voltage problem distribution;

[0090] It should be noted that the distribution transformer list is displayed on the left side of the substation detection display page, and the search box supports fuzzy search, which can search and display distribution transformers according to the feeder name and distribution transformer name. Entering the feeder name can display the distribution transformers connected to it.

[0091] The upper side displays the basic information of the distribution transformer, including: distribution transformer name, distribution transformer ID, affiliated feeder, affiliated plant, distribution transformer capacity, and the installed quantity of SVG, capacitors, and phase-changing switches.

[0092] The middle side displays the real-time data, alarm information, and indicator problems of the platform area; the real-time data includes three-phase voltage, three-phase current, three-phase active power, three-phase reactive power, and three-phase power factor. Alarm information includes high voltage, low voltage, heavy load, light load, overload, power factor exceeding the limit, and current imbalance exceeding the limit. Indicator problems include voltage problems: daily low voltage times, monthly low voltage times, daily high voltage times, monthly high voltage times, and voltage qualification rate; reactive power problems: daily power factor exceeding the limit times, monthly power factor exceeding the limit times, and power factor qualification rate; three-phase imbalance problems: daily three-phase imbalance exceeding the limit times, monthly three-phase imbalance exceeding the limit times, and three-phase current imbalance qualification rate. Click more to pop up a pop-up display of the daily average power factor, monthly average power factor, daily average three-phase imbalance, and monthly average three-phase imbalance.

[0093] The lower side shows the operation data of the station area and the reactive power and voltage problem distribution calendar. The reactive power and voltage problem distribution calendar displays voltage, power factor, and three-phase unbalance limit problems with different icons. If a problem occurs on the same day, the corresponding icon will be displayed. The calendar for the current month is displayed by default, and can be filtered and linked according to the time in the historical operation curve on the right. The operation data includes voltage, current, active power, reactive power, and power factor, which can be selected and filtered according to the filter bar above.

[0094] Basic information, real-time data, alarm information, operation data and health status of line voltage regulator monitoring;

[0095] It should be noted that the voltage regulator list is displayed on the left side of the display page of line voltage regulator monitoring, and the search box supports fuzzy search, which can search and display voltage regulators according to feeder name and voltage regulator name. Entering the feeder name can display the voltage regulators connected to it.

[0096] The upper side displays the basic information of the voltage regulator, including: device name, feeder, working mode, reference gear, maximum gear, voltage upper limit, voltage lower limit, and daily number limit.

[0097] The middle side displays the real-time data and alarm information of the voltage regulator. The real-time data includes: input voltage, output voltage, active power, reactive power, current, temperature, current gear, load rate, daily operation times, and cumulative operation times. The alarm information includes: voltage (voltage loss, undervoltage, overvoltage, PT disconnection), current (overcurrent), load (overload), switch (tap switch refusal to operate, tap switch 0 gear failure, circuit breaker double closing, circuit breaker abnormal displacement, bypass circuit breaker QF2 refusal to operate, protection circuit breaker QF1 refusal to operate), voltage regulator (overtemperature failure, gas failure), controller (controller parameter failure) six major alarms and the specific fault name is displayed on the right.

[0098] The lower side shows the operation data and health status of the voltage regulator. The operation data includes voltage, current, active power, reactive power, power factor, and gear position. You can select and filter according to the filter bar above. The health score is based on the indicators in the status radar chart to comprehensively score and determine the current health status of the device. The status radar displays the status proportion of four dimensions: action effect, number of actions, temperature, and age. The number of switch actions shows the proportion of the theoretical remaining number of switch actions, and the gear statistics show the number of times the gear is located.

[0099] SVG monitoring basic information, real-time data, alarm information, historical operation data and status information;

[0100] It should be noted that the SVG list is displayed on the left side of the SVG monitoring display page, and the search box supports fuzzy search, which can search and display SVGs based on feeder name, distribution transformer name and SVG name. Entering a feeder name or distribution transformer name can display the SVGs connected to it.

[0101] The upper side displays basic information, including: device name, distribution transformer, communication status, and operating status.

[0102] The middle side displays real-time data and alarm information. The real-time data includes three-phase voltage, three-phase current, three-phase active power, three-phase reactive power, and three-phase power factor. Click More to display the harmonic content rate and each harmonic value. The alarm information displays the alarm indicator and the specific alarm item content.

[0103] The lower side shows historical operation data and status information. The health score is based on the indicators in the status radar chart to determine the current health status of the device. The status radar shows the status proportion of three dimensions: action effect, number of faults, and running time. The output current shows that the current three-phase current has reached the output value, and the remaining capacity of the SVG is shown below.

[0104] Basic information, switching status, alarm information, real-time data and health status of capacitor monitoring;

[0105] Phase-changing switch monitoring basic information, real-time data, alarm information, operating data and health status.

[0106] The left side of the display page of the phase-changing switch monitoring displays the phase-changing switch list. The search box supports fuzzy search, and the phase-changing switches can be searched and displayed according to the feeder name, distribution transformer name, and phase-changing switch name. Enter the feeder name or distribution transformer name to display the phase-changing switches connected to it.

[0107] The upper side displays the basic information of the phase-changing switch, including: device name, distribution transformer, imbalance limit, and daily operation limit.

[0108] The middle side displays real-time data and alarm information. Real-time data includes voltage, current, daily operation times, cumulative operation times, and current phase. Alarm information includes: overvoltage, undervoltage / phase loss, overcurrent, and short circuit.

[0109] The lower side displays historical operation data and health status. The historical operation data includes voltage, current, active power, reactive power, power factor, and phase. The health status display includes the score of the equipment health status; the display of the remaining service life of the switch; the status radar displays the proportion of the four dimensions of action effect, number of actions, age, and environment; and the phase statistics display the number of times each phase is in.

[0110] S4: Set business rules for equipment status monitoring, record and display alarm logs and action logs, provide filtering and paging functions, analyze the effects of action logs, calculate optimization rates, and evaluate control effects.

[0111] Furthermore, the business rules for setting equipment status monitoring include: the business rules for area monitoring are that a voltage greater than 235V is considered a high voltage problem, a voltage less than 198V is considered a low voltage problem, a load rate less than 30% is considered a light load, a load rate greater than 30% and less than 100% is considered a heavy load, and a load rate greater than 100% is considered an overload:

[0112]

[0113] If the power factor is less than 0.9, it is considered that the power factor exceeds the limit;

[0114] If the three-phase unbalance is greater than 20%, it is considered that there is a three-phase unbalance limit problem;

[0115]

[0116] Calculation of pass rate:

[0117]

[0118] The business rules for line regulator monitoring include switch operation life: the ratio of the remaining number of switch operations to the theoretical maximum number of operations;

[0119] Gear statistics: the number of times each gear is in place, with each adjustment counted once;

[0120] Status Radar: Displays the scores of each indicator, with a full score of 100;

[0121]

[0122] The health score is the average score of each indicator in the status radar, rounded to the nearest integer. The health score ring automatically changes color according to the score: 100-90 is green, 70-90 is orange, 50-70 is orange, and below 50 is red.

[0123] Furthermore, the business rules for setting equipment status monitoring also include that the business rules for SVG monitoring regarding indicators of status radar, in addition to the above-mentioned action effect score and temperature score, add the following content:

[0124]

[0125] The health scoring rules remain unchanged;

[0126] The business rules for phase-changing switch monitoring include phase statistics, that is, the ratio of the current phase operating time to the total operating time, and status radar. The status radar indicators include action effect score, temperature score, operating time score, and action number score. The health scoring rules remain unchanged.

[0127] It should be noted that a navigation tree is displayed on the left side of the alarm log, and the levels of the navigation tree are region - substation - feeder - voltage regulator / distribution transformer - reactive voltage equipment. The feeder is divided into voltage regulator and distribution transformer, and reactive voltage equipment is displayed under the distribution transformer. The upper side provides a search box for time, equipment name, distribution transformer name, and feeder name to filter the displayed information as required. The middle side displays the serial number, time, equipment name, distribution transformer, feeder, and alarm information in order. The lower side provides page filtering, and you can select the number of alarm records displayed on each page and specify a jump to a certain page as required.

[0128] The navigation tree is displayed on the left side of the action log, and the levels of the navigation tree are region - substation - feeder - voltage regulator / distribution transformer - reactive voltage equipment. The feeder is divided into voltage regulator and distribution transformer, and reactive voltage equipment is displayed under the distribution transformer. The upper side provides time, equipment name, distribution transformer name, and feeder name search boxes to filter the displayed information as required. The middle side displays the serial number, time, equipment name, distribution transformer, feeder, action content, and action result in order. The lower side provides page filtering, and you can select the number of alarm records displayed on each page and specify a jump to a certain page as required.

[0129] Click the action result after the corresponding action record to jump out of the control effect analysis page. The left side of the page displays the instantaneous data of the most recent sampling before and after the equipment action, the right side displays the action result and the optimization rate of the assessment index, and the bottom side displays the operating data curve before and after the action, and different curve graphs can be selected as needed.

[0130] Business rules include optimization rate: refers to the governance improvement effect value after the action.

[0131]

[0132] Example 2, reference Figure 3 , is an embodiment of the present invention, providing a distribution network reactive power voltage control method based on multi-region terminal self-discipline coordination, comprising:

[0133] Build a communication solution between smart terminals, transmit data to the encryption gateway through 4G encrypted terminals, and divide it into two signals, MQTT and 104, to achieve global decision-making and operation data upload respectively;

[0134] Calculate the power loss of the entire line according to the operating status of various equipment to reduce energy-saving benefits;

[0135] The communication scheme includes that the line voltage regulator and the reactive power compensation device of the substation are connected to the intelligent controller through 485, the intelligent controller is connected to the encryption terminal through the network cable, and the APN encryption terminal transmits data to the encryption gateway of the access area through 4G wireless, which is divided into two signals: one is to reach the MQTT front-end server through MQTT to realize the mutual data transmission between the terminals, and the intelligent controller and the MQTT front-end server input all node monitoring quantities and system operation status through MQTT to make global decisions, output the optimal voltage regulation decision of the equipment intelligent body, and issue instructions to the subordinate intelligent body;

[0136] The operation data is uploaded through 104 via the customer's front-end machine. The data is first uploaded to Area I, then synchronized to the server in Area III, and then transmitted to the WEB server in the form of an E file. The master station software obtains the management equipment data of the area by accessing the WEB server. The project master station is deployed at the power supply bureau end. Power supply bureau users can access the master station software on the monitoring workstation to understand the real-time data of the management area.

[0137] Furthermore, the data collection (104 / 101) business data flow:

[0138] Terminal->Encryption device->Encryption gateway->Front-end machine->Zone 1->Synchronize data to Zone 3->Forward the two-shake data uploaded through 104 through E file->Web server

[0139] Collaborative data flow between terminals:

[0140] Terminal->Encryption device->Encryption gateway->Front-end machine->Encryption gateway->Encryption device->Terminal

[0141] Configuration details:

[0142] Front-end machine (conventional business 104 / 101) IP: 10.180.98.87 / 88

[0143] Front-end machine (MQTT service) IP: 10.180.98.90

[0144] Encrypted gateway IP: 10.180.98.79

[0145] Encryption device authentication process:

[0146] 1. Generate a certificate request through encryption terminal configuration;

[0147] 2. The bureau generates a "certificate compression package" based on the certificate request;

[0148] 3. Import the certificate through the encryption terminal configuration software;

[0149] 4. Add policies by encryption gateway;

[0150] 5. In the test phase, select All as the protocol, and the host and DTU port ranges are both 1 to 65535;

[0151] 6. In actual use, select TCP as the protocol, and add two strategies for the host and DTU ports, which are 1~65535:2444 and 7003:1~65535.

[0152] 7.Configure corresponding policies, firewalls, and redirection for encrypted terminals;

[0153] 8. The terminal and the encryption terminal are connected to the ETH0 port via a network cable. The terminal IP address is: 192.166.0.2;

[0154] 9. Terminal 104 server configuration: port number is 2444:

[0155] 10.Terminal MQTT client configuration:Server address: 10.180.98.90Port number: 7003

[0156] The following services are added to the front-end processor 104:

[0157] 1. The bureau configures the front-end 104 service port and the corresponding terminal

[0158] 2. The front-end will automatically establish a TCP connection with the terminal port 2444

[0159] MQTT service establishment and connection

[0160] The server 10.180.98.90 establishes the MQTT service, port 7003, and opens the corresponding firewall port number of the server. The server uses the Centos system;

[0161] MQTT installation and configuration: (requires server to be connected to the Internet, disconnect from the intranet at this time)

[0162] sudo yum-yinstall epel-release

[0163] sudoyum-yinstallmosquitto

[0164] sudo systemctl startmosquitto

[0165] sudo systemctlenablemosquito

[0166] Modify the / etc / mosquitto / mosquitto.conf file, cancel the anonymous login function, add the username (SoftCore) and password. Restart the service after modification.

[0167] Firewall settings:

[0168] sudo firewall-cmd --zone=public --add-port=7003 / tcp --permanent

[0169] sudo firewall-cmd --reload

[0170] Server dual network port settings:

[0171] ETH1: Automatically acquired, mainly used to connect to the debugging PC

[0172] ETH2: 10.180.98.90 / 255.255.255.0 / 10.180.98.79

[0173] MQTT client test:

[0174] Install MQTTExplorer software and configure the host address: 10.180.98.90 port: 7003;

[0175] Server sends and subscribes to topics;

[0176] Subscribe to topic: mosquitto_sub -hlocalhost -t "test / #" -uname -Ppasswd -i "client1"

[0177] Publish message: mosquitto_pub -h localhost -t "test / abc" -u name -P passwd -i "client3" -m "message"

[0178] Furthermore, the obtaining of the power loss of the entire line includes:

[0179] Find the equivalent resistance R of the circuit eg·i

[0180]

[0181] Among them, S e is the total capacity of the line distribution transformer, r i is the resistance of different line segments, S i is the capacity of each distribution transformer.

[0182] Calculate the equivalent resistance R of the transformer winding eg·T

[0183]

[0184] Among them, U0 is the average voltage, ΔP K·i is the load loss of the distribution transformer.

[0185] Calculate the average active power P Pj , reactive power Q Pj

[0186]

[0187] Find the minimum load factor f min

[0188]

[0189] The corresponding load factor K can be obtained by looking up the table

[0190] fmin 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 K 1.17 1.09 1.05 1.03 1.02 1.01 1.0 1.0 1.0

[0191] Calculate the line loss ΔA L

[0192]

[0193] Among them, R eg·i is the line equivalent resistance, P Pj is the average active power, Q Pj is the reactive power, K is the load factor, represents voltage parameter, t is time;

[0194] Calculate the loss ΔA of the distribution transformer winding T

[0195]

[0196] Among them, R eg·T Equivalent resistance of the transformer winding

[0197] Calculate the sum of the no-load losses of the distribution transformer ΔA0

[0198]

[0199] Where m represents the number of branches;

[0200] Among them, ΔP0 is the no-load loss of the distribution transformer, and T represents the period;

[0201] Calculate the power loss ΔA of the entire line

[0202] ΔA=ΔA L +ΔA T +ΔA0

[0203] Assuming that the total line loss before commissioning is ΔA1, and the total line loss after the reactive equipment is commissioned is ΔA2, the energy saving power before and after commissioning is

[0204] ΔA'=ΔA1-ΔA2.

[0205] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0206] Embodiment 3, the third embodiment of the present invention, is different from the first two embodiments in that:

[0207] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0208] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0209] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0210] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0211] Example 4, reference Figure 10-12 , which is an embodiment of the present invention, provides a distribution network reactive power voltage control method based on multi-region terminal self-discipline coordination. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through experiments.

[0212] In a public transformer substation, the capacity of the public transformer is 100kVA. The power factor of the substation is below 0.9 all year round. Fig.10 From the power factor curve, we can see that the power factor of the substation is low, which is below 0.9 all year round. The substation has mixed electricity consumption, with a total of 33 users, of which commercial users account for 33%. The residential area in the substation has insufficient reactive power all year round, resulting in low power quality in the substation.

[0213] Fig.11 The current public transformer head-end voltage data obtained on November 10, 2022 shows that the head-end voltage is low and there is a low voltage risk. Fig.12 The equipment was connected to the power on June 30, 2023. The line data after installation and data analysis on August 1, 2023 after treatment were selected. The average power factor of the public transformer substation reached above 0.95, and the treatment effect was significant.

[0214] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A reactive power and voltage control system for a distribution network based on multi-regional self-discipline and coordination, characterized by: include, Monitor the system operation status through the accessed online monitoring data, monitor the operation of reactive voltage equipment and issue status alarms, and analyze the treatment effect of reactive voltage equipment; Make global decisions through the reinforcement learning network model, output the optimal voltage regulation decision of the equipment agent, and issue instructions to the subordinate agents; The system display platform obtains device data from MQTT to display system operation status, device operation status, device fault alarm and control effect analysis; Set business rules for equipment status monitoring, record and display alarm logs and action logs, provide filtering and paging functions, analyze the effects of action logs, calculate optimization rates, and evaluate control effects.

2. The reactive power and voltage control system for a distribution network based on multi-regional terminal self-discipline and coordination as claimed in claim 1, characterized in that: The global decision includes that when 4G communication is normal, the master station agent makes a global decision based on all node monitoring quantities and system operation status through a reinforcement learning network model, outputs the optimal voltage regulation decision of the device agent, and issues instructions to the subordinate agents.

3. The distribution network reactive power and voltage control system based on multi-regional terminal self-discipline coordination as claimed in claim 2, characterized in that: The global decision also includes that when 4G is abnormal and Lora is normal, the substation intelligent agent makes self-organizing network optimization decisions to achieve regional collaborative optimization; when both 4G and Lora are abnormal, the self-collaborative intelligent agent within the substation makes optimization decisions, and the on-load voltage regulator acts as a coordinating intelligent agent, which is wired to the lower-level reactive power source and makes decisions based on the reinforcement learning network.

4. The reactive power and voltage control system for distribution network based on multi-region terminal self-discipline and coordination as claimed in claim 3, characterized in that: The acquired equipment data includes basic information of the substation area detection, real-time data, alarm information, indicator problems, operation data and reactive voltage problem distribution; Basic information, real-time data, alarm information, operation data and health status of line voltage regulator monitoring; SVG monitoring basic information, real-time data, alarm information, historical operation data and status information; Basic information, switching status, alarm information, real-time data and health status of capacitor monitoring; Phase-changing switch monitoring basic information, real-time data, alarm information, operating data and health status.

5. The reactive power and voltage control system for distribution network based on multi-region terminal self-discipline and coordination as claimed in claim 4, characterized in that: The business rules for setting equipment status monitoring include: the business rules for area monitoring are that a voltage greater than 235V is considered a high voltage problem, a voltage less than 198V is considered a low voltage problem, a load rate less than 30% is considered a light load, a load rate greater than 30% and less than 100% is considered a heavy load, and a load rate greater than 100% is considered an overload: If the power factor is less than 0.9, it is considered that the power factor exceeds the limit; If the three-phase unbalance is greater than 20%, it is considered that there is a three-phase unbalance limit problem; Calculation of pass rate: The business rules for line regulator monitoring include switch operation life: the ratio of the remaining number of switch operations to the theoretical maximum number of operations; Gear statistics: the number of times each gear is in place, with each adjustment counted once; Status Radar: Displays the scores of each indicator, with a full score of 100; The health score is the average score of each indicator in the status radar, rounded to the nearest integer. The health score ring automatically changes color according to the score: 100-90 is green, 70-90 is orange, 50-70 is orange, and below 50 is red.

6. The reactive power and voltage control system for distribution network based on multi-region terminal self-discipline and coordination as claimed in claim 5, characterized in that: The business rules for setting equipment status monitoring also include that the business rules for SVG monitoring regarding indicators of status radar, in addition to the above-mentioned action effect score and temperature score, add the following content: The health scoring rules remain unchanged; The business rules for phase-changing switch monitoring include phase statistics, that is, the ratio of the current phase operating time to the total operating time, and status radar. The status radar indicators include action effect score, temperature score, operating time score, and action number score. The health scoring rules remain unchanged.

7. A method for controlling reactive power and voltage of a distribution network based on multi-regional terminal self-discipline coordination according to any one of claims 1 to 6, characterized in that: include Build a communication solution between smart terminals, transmit data to the encryption gateway through 4G encrypted terminals, and divide it into two signals, MQTT and 104, to achieve global decision-making and operation data upload respectively; Calculate the power loss of the entire line based on the operating status of various equipment to reduce energy-saving benefits.

8. The method for controlling reactive power and voltage of a distribution network based on multi-regional terminal self-discipline coordination as claimed in claim 7, characterized in that: The method of obtaining the power loss of the entire line includes: Calculate the line loss ΔA L Among them, R eg·i is the equivalent resistance of the line, P Pj is the average active power, Q Pj is the reactive power, K is the load factor, represents voltage parameter, t is time; Calculate the loss ΔA of the distribution transformer winding T Among them, R eg·T Equivalent resistance of transformer winding Calculate the sum of the no-load losses of the distribution transformer ΔA0 Where m represents the number of branches, ΔP0 is the no-load loss of the distribution transformer, and T represents the period; Calculate the power loss ΔA of the entire line ΔA=ΔA L +ΔA T +ΔA0 Assuming that the total line loss before commissioning is ΔA1, and the total line loss after the reactive equipment is commissioned is ΔA2, the energy saving power before and after commissioning is ΔA'=ΔA1-ΔA2.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the distribution network reactive voltage control method based on multi-regional terminal autonomous coordination as described in any one of claims 7 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the reactive voltage control method of a distribution network based on multi-regional terminal autonomous coordination as described in any one of claims 7 to 8 are implemented.

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