An intelligent control system for reactive power and voltage during off-peak period of distribution network

Abstract

The present invention discloses an intelligent control system for reactive voltage during the off-peak period of a distribution network, which relates to the field of distribution network control technology. The intelligent control system comprises a data acquisition module, a distribution network impact level analysis module, a off-peak power consumption analysis module, a power consumption warning and adjustment module, a power consumption adjustment verification module, a display terminal and a database. By determining and analyzing the distribution network structure parameters, the distribution network user type equipment parameters and the power consumption status parameters of the distribution network during the off-peak period, a distribution network influence area set and the distribution network power consumption are obtained to generate a warning signal indicating that the distribution network power consumption is abnormal and the distribution network power consumption needs to be adjusted. Then, by analyzing the power consumption adjustment user response parameters, the effect of the distribution network power consumption after adjustment is obtained. The intelligent control system can comprehensively consider the power grid structure and user conditions in different areas of the distribution network, adopt different levels of response to abnormal conditions during the off-peak period of the distribution network, and can promptly respond to the situation after inspection and adjustment, thereby improving the reliability and safety of the distribution network.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network control, and in particular to an intelligent control system for reactive voltage during off-peak periods of a distribution network. Background Art

[0002] With the continuous development of society and advancements in technology, the power industry is expanding, and the demand for electricity is also increasing. At the same time, hospitals, large industrial enterprises, and commercial centers are placing increasingly high demands on power reliability and quality during off-peak hours on the distribution network. Traditional reactive power and voltage control methods struggle to meet the complex grid fluctuations during off-peak hours, leading to the emergence of intelligent reactive power and voltage control systems for distribution networks during off-peak hours.

[0003] When operating, the traditional intelligent control system for reactive power and voltage during the off-peak period of the distribution network cannot take into account the distribution network structure in the area and the specific user's requirements for the grid quality during the off-peak period. It is also unable to detect abnormal operation of the distribution network during the off-peak period in a timely manner, and cannot ensure the normal operation of the distribution network.

[0004] The traditional intelligent control system for reactive power and voltage during off-peak hours of the distribution network is unable to make timely adjustments to abnormal distribution network operations, resulting in an increasing number of equipment damages in hospitals, enterprises and institutions. At the same time, it is also unable to monitor the feedback of grid users on the operation of the system, which affects the image of the State Grid.

[0005] In order to solve the above-mentioned defects, a technical solution is now provided. Summary of the Invention

[0006] In order to solve the technical problems raised by the above background technology, the present invention is proposed. An embodiment of the present invention provides a.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] An intelligent control system for reactive voltage during off-peak periods of a distribution network comprises a data acquisition module, a distribution network impact level analysis module, a off-peak power consumption analysis module, a power consumption early warning and adjustment module, a power consumption adjustment verification module, a display terminal and a database.

[0009] The distribution network impact level analysis module is provided with a distribution network structure analysis unit, a regional user analysis unit and a distribution network impact level determination unit;

[0010] The off-peak power consumption analysis module is used to receive the power consumption status parameters of the distribution network during the off-peak period, determine and analyze them, obtain the power consumption status value of the distribution network during the off-peak period, and send it to the power consumption early warning and adjustment module;

[0011] The power consumption warning and adjustment module is used to receive the power consumption status value of the distribution network during the off-peak period and the distribution network impact area set, make judgments and analyses on them, generate corresponding signals for early warning and alarm, and adjust the corresponding early warning. The specific analysis is as follows:

[0012] Obtain the power consumption status value of the distribution network during off-peak period in each region in real time, set the reference threshold value xx1 for the power consumption status value during off-peak period, and compare and analyze the power consumption status value of the distribution network during off-peak period in each region with the power consumption status value reference threshold value xx1; when the power consumption status value of the distribution network during off-peak period is greater than the power consumption status value reference threshold value xx1, generate a warning signal indicating that the power consumption of the distribution network is abnormal and the power consumption of the distribution network needs to be adjusted;

[0013] The distribution network power consumption generating warning signal of abnormal distribution network power consumption and the need to adjust distribution network power consumption is matched with the distribution network influence area set. If the distribution network area with abnormal power consumption is in the first-level distribution network influence area set, the corresponding adjustment measures are to select high-precision and high-reliability voltage stabilizing equipment, establish a backup power supply system, adopt filters for treatment, and use advanced equipment such as static VAR compensators; if the distribution network area with abnormal power consumption is in the second-level distribution network influence area set, the corresponding adjustment measures are to select general-precision voltage stabilizers or current stabilizers, optimize the configuration of the power system, and install reactive power compensation devices with better performance; if the distribution network area with abnormal power consumption is in the third-level distribution network influence area set, the corresponding adjustment measures are to check the power lines to ensure that the power lines are firmly connected, check the electrical equipment and repair any problems, and install reactive power compensation devices with general performance, etc.

[0014] The power adjustment verification module is used to receive information that the power consumption of the distribution network is abnormal and that the power consumption of the distribution network needs to be adjusted, and retrieve the power adjustment user response parameters for analysis and processing;

[0015] Furthermore, the specific analysis method of the distribution network structure analysis unit is as follows:

[0016] The distribution network structure analysis unit is used to receive distribution network structure parameters, and make judgments and analyses thereof to obtain a first-level distribution stability area set, a second-level distribution stability area set, and a third-level distribution stability area set.

[0017] The transmission capacity of the distribution network in each region is substituted into the box plot. Specifically, the collected transmission capacity of the distribution network in each region is substituted into the box plot, and the values ​​are arranged from small to large to obtain the lower limit, lower quartile, median, upper quartile and upper limit. The lower quartile, median and upper quartile are the 25%, 50% and 75% of all the values ​​after they are arranged from small to large, respectively, and are recorded as XS, ZS and SS. The transmission capacity trend value CQ of the distribution network in each region is obtained by taking the difference between XS and SS. The transmission capacity trend value CQ and the transmission capacity median value ZS are normalized and substituted into the set formula The distribution capacity state value RZ of each area is obtained, and a1 and a2 are respectively represented as the set influencing factors;

[0018] Obtain the number of substations in the distribution network of each region and calculate the actual area of ​​each region. Divide the two to obtain the substation distribution density value of each region. Then calculate the difference between the obtained substation distribution density value of each region and the preset substation distribution density value of each region to obtain the substation distribution density value difference. Multiply the substation distribution density value difference by the corresponding preset factor and divide it by the set substation distribution reference density value difference to obtain the distribution network status value ZZ of each region.

[0019] Obtain the capacity of the transformers in the distribution network of each region, divide the acquisition time into several sub-periods, sort the capacity of the transformers according to the order of acquisition time, calculate the difference in the capacity of adjacent transformers, subtract the capacity of the transformer sorted later from the capacity of the transformer sorted earlier to obtain a sub-difference, sum all the sub-differences to obtain a sub-total difference, and at the same time, count the transformer capacity sorted later that is lower than the capacity of the transformer sorted earlier, sum to obtain a sub-total low value, perform weighted calculation on the sub-total difference and the sub-total low value, multiply them by the corresponding weight factors respectively, and obtain the transformer capacity trend value, normalize the transformer capacity trend value and the transformer capacity, calculate the inverse of the transformer capacity trend value and the transformer capacity for weighted calculation, and multiply them by the corresponding weight factors respectively to obtain the device state value QZ of the distribution network in each region;

[0020] Convert the corresponding values ​​of the distribution capacity status value RZ of each region and the distribution network status value ZZ of each region into lengths according to a certain ratio; construct a regular tetrahedron with the lengths of the distribution capacity status value RZ of each region and the distribution network status value ZZ of each region as the side length of the square at the base of the regular tetrahedron and the height of the regular tetrahedron respectively; convert the distribution network device status value QZ of each region in the on-site construction into lengths according to a certain ratio, and then construct a sphere with the length of the distribution network device status value QZ of each region as the radius, and make the center of the sphere coincide with the upper vertex of the regular tetrahedron; then identify the volume where the regular tetrahedron and the sphere do not coincide and mark it as the distribution network structure status value JZ of each region;

[0021] Compare and analyze the distribution network structure status value JZ of each region with the set distribution network structure status value reference threshold ZZ1, and compare and analyze the equipment process coefficient of each process part with the corresponding set equipment process reference threshold ZZ1;

[0022] When the distribution network structure state value is less than the corresponding set distribution network structure state value reference threshold ZZ1, the corresponding area portion is calibrated as the first-level distribution structure demand area signal; when the distribution network structure state value is equal to the corresponding set distribution network structure state value reference threshold ZZ1, the corresponding area portion is calibrated as the second-level distribution structure demand area signal; when the distribution network structure state value is greater than the corresponding set distribution network structure state value reference threshold ZZ1, the corresponding area portion is calibrated as the third-level distribution structure demand area signal;

[0023] and sending the generated first-level distribution structure demand area signal, second-level distribution structure demand area signal, and third-level distribution structure demand area signal to the distribution network impact level determination unit;

[0024] Furthermore, the specific analysis method of the regional user analysis unit is:

[0025] The regional user analysis unit is used to receive the distribution network user type equipment parameters, and make judgments and analyses on them to obtain the first-level power supply user operation and demand signals, the second-level power supply user operation and demand signals and the third-level power supply user operation and demand signals.

[0026] Test the power supply fluctuation of the distribution network for various devices of users in each region, analyze and calculate the operation stability value SG of each device; compare and analyze the operation stability value of each device with the set operation stability value reference threshold interval tv1 to obtain the operation demand value YYZ of user equipment in each region;

[0027] Obtain the user types of the distribution network in each region, and analyze and obtain the average power supply demand YGX of the users in the distribution network in each region;

[0028] Convert the values ​​corresponding to the operational demand values ​​YYZ of user equipment in each region into lengths according to a certain ratio; construct an equilateral triangle with the lengths of the operational demand values ​​YYZ of user equipment in each region as the side lengths of the equilateral triangle; convert the average power demand values ​​YGX of distribution network users in each region into lengths according to a certain ratio, and then construct a circle with the lengths of the average power demand values ​​YGX of distribution network users in each region as the diameter, with the center of the circle coinciding with the upper vertex of the equilateral triangle; then identify the volume where the equilateral triangle and the circle do not overlap, and mark it as the power efficiency value YGZ of distribution network users in each region;

[0029] Set gradient reference intervals M1, M2, and M3 for the distribution network user efficiency values ​​in each region, and substitute the distribution network user efficiency values ​​into the preset gradient reference intervals M1, M2, and M3 for comparative analysis. The gradient reference intervals M1, M2, and M3 increase in a gradient manner.

[0030] When the distribution network user supply efficiency value of each region is within the preset gradient reference interval M1, a first-level power supply user operation and demand signal is generated; when the distribution network user supply efficiency value of each region is within the preset gradient reference interval M2, a second-level power supply user operation and demand signal is generated; when the distribution network user supply efficiency value of each region is within the preset gradient reference interval M3, a third-level power supply user operation and demand signal is generated;

[0031] The first-level power supply user operation and demand signal, the second-level power supply user operation and demand signal, and the third-level power supply user operation and demand signal are sent to the distribution network impact level determination unit.

[0032] Furthermore, the specific analysis method of the distribution network impact level determination unit is as follows:

[0033] The distribution network impact level determination unit is used to receive the power supply user operation and demand signal and the power supply user operation and demand signal, and make determination and analysis. The specific analysis is as follows:

[0034] According to the distribution stability area level judgment signal, a set N is established. The first-level distribution structure demand area signal is marked as element e1, the second-level distribution structure demand area signal is marked as element e2, and the third-level distribution structure demand area signal is marked as element e3. Element e1∈set N, element e2∈set N, and element e3∈set N.

[0035] Establish a set Z based on the power supply user's demand level judgment signal, mark the first-level power supply user's demand as element v1, the second-level power supply user's demand as element v2, and the third-level power supply user's demand as element v3, and element v1∈set Z, element v2∈set Z, and element v3∈set Z;

[0036] The sets N and Z are combined. When N∪Z={e1,v1}, the area generates the corresponding first-level distribution network influence area set;

[0037] When N∪Z={e1, v2} or {e2, v1} or {e2, v2} or {e2, v3} or {e3, v2}, the area generates the corresponding secondary distribution network influence area set;

[0038] When N∪Z={e3,v3}, the area generates the corresponding three-level distribution network influence area set.

[0039] The first-level distribution network influence area set, the second-level distribution network influence area set and the third-level distribution network influence area set are sent to the power consumption early warning and adjustment module.

[0040] Furthermore, the specific analysis method of the power consumption status value during the off-peak period of the distribution network is as follows:

[0041] Current monitoring analysis:

[0042] Obtain the current parameters of the distribution network during the off-peak period, and obtain the current state value DLZ through statistical analysis;

[0043] Voltage monitoring analysis:

[0044] Obtain the voltage parameters of the distribution network during the off-peak period, and obtain the voltage state value DYZ through statistical analysis;

[0045] Reactive power monitoring and analysis:

[0046] The reactive power value of the distribution network during the off-peak period is obtained through the power factor meter, and the reactive power state value PZT is obtained through statistical analysis;

[0047] Normalize the current state value DLZ, voltage state value DYZ and reactive power state value PZT according to the set formula To obtain the power consumption state value YZT of the distribution network during the off-peak period, y1 is the preset weight coefficient of the sum of the current state value DLZ, the voltage state value DYZ and the reactive power state value PZT.

[0048] Furthermore, the specific analysis method for retrieving the power adjustment user response parameters for analysis and processing is as follows:

[0049] Obtain the number of complaints TS of each user regarding electricity consumption during the off-peak period of the distribution network within a period of time and obtain the user satisfaction survey information on electricity consumption during the off-peak period of the distribution network, and statistically analyze to obtain the electricity adjustment user response coefficient;

[0050] The power consumption adjustment user response coefficient is compared and analyzed with the set comparison threshold WW1. When the power consumption adjustment user response coefficient is less than the set comparison threshold WW1, a power consumption adjustment negative feedback signal is generated. Conversely, when the selection quality coefficient is greater than or equal to the set comparison threshold WW1, a power consumption adjustment positive feedback signal is generated.

[0051] When the power consumption is adjusted, the positive feedback signal is sent to the display terminal in the form of a text description of "the power consumption of the distribution network during the off-peak period has been well controlled";

[0052] When the power consumption is adjusted with a negative feedback signal, it is sent to the display terminal for display in the form of a text description such as "power consumption in the off-peak period of the distribution network is not well controlled".

[0053] Compared with the prior art, the present invention has the following beneficial effects:

[0054] 1. The present invention receives distribution network structure parameters, distribution network user type equipment parameters and distribution network off-peak period power consumption status parameters to obtain a first-level distribution network influence area set, a second-level distribution network influence area set, a third-level distribution network influence area set and a distribution network off-peak period power consumption status value, and analyzes and determines to obtain a distribution network power consumption to generate a distribution network power consumption abnormality and a distribution network power consumption adjustment need warning signal, and matches the distribution network influence area set with the distribution network power consumption abnormality to obtain different levels of sets corresponding to the distribution network off-peak period power consumption adjustment measures, timely detects the distribution network operation abnormality during the distribution network off-peak period, can ensure the normal operation of the distribution network, and significantly reduces the equipment damage in hospitals, enterprises and institutions.

[0055] 2. The present invention obtains the electricity consumption adjustment user response coefficient by analyzing and determining the electricity consumption adjustment user response parameters, including the number of complaints about electricity consumption in off-peak periods and the satisfaction survey information about electricity consumption in off-peak periods. Compared with the set comparison threshold, the present invention timely displays the control status of electricity consumption in the distribution network in off-peak periods, which can better ensure the normal operation of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] 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. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present invention.

[0057] Figure 1 is a system block diagram of the present invention;

[0058] Figure 2 The box plot corresponding to the transmission capacity of the distribution network;

[0059] Figure 3 It is a line graph of current value changes. DETAILED DESCRIPTION

[0060] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts also fall within the scope of protection of the present invention.

[0061] like Figure 1-3 As shown, an intelligent control system for reactive voltage during off-peak period of distribution network includes a data acquisition module, a distribution network impact level analysis module, a off-peak power consumption analysis module, a power consumption early warning and adjustment module, a power consumption adjustment verification module, a display terminal and a database.

[0062] The data acquisition module receives distribution network structural parameters, user type and device parameters, off-peak power consumption parameters, and power adjustment user response parameters, and sends them to the distribution network impact level analysis module, off-peak power consumption analysis module, and power adjustment verification module. Distribution network structural parameters include the transmission capacity of the distribution network, the number of substations within the distribution network, and the capacity of transformers. User type and device parameters include startup time, operating speed, and the distribution of various types of users in each region of the distribution network under power fluctuations. Off-peak power consumption parameters include current, voltage, and reactive power parameters during off-peak periods. Power adjustment user response parameters include the number of complaints regarding off-peak power consumption and satisfaction surveys.

[0063] The distribution network impact level analysis module is provided with a distribution network structure analysis unit, a regional user analysis unit and a distribution network impact level determination unit.

[0064] The distribution network structure analysis unit is used to receive distribution network structure parameters, and make judgments and analyses thereof to obtain a first-level distribution stability area set, a second-level distribution stability area set, and a third-level distribution stability area set.

[0065] Substitute the transmission capacity of each regional distribution network into the box plot for details. Figure 2 Specifically, the collected transmission capacity of the distribution network in each region is substituted into the box plot, and the values ​​are arranged from small to large to obtain the lower limit, lower quartile, median, upper quartile and upper limit in sequence. The lower quartile, median and upper quartile are the 25%, 50% and 75% of all the values ​​after arranging from small to large, respectively, and are recorded as XS, ZS and SS. The transmission capacity trend value CQ of the distribution network in each region is obtained by making a difference between XS and SS. The transmission capacity trend value CQ and the transmission capacity median value ZS are normalized and substituted into the set formula The distribution capacity state value RZ of each area is obtained, a1 and a2 are respectively represented as the set influence factors, whose sizes are custom settings, and the values ​​are 4.211 and 5.116 respectively;

[0066] Obtain the number of substations in the distribution network of each region and calculate the actual area of ​​each region. Divide the two to obtain the substation distribution density value of each region. Then calculate the difference between the obtained substation distribution density value of each region and the preset substation distribution density value of each region to obtain the substation distribution density value difference. Multiply the substation distribution density value difference by the corresponding preset factor and divide it by the set substation distribution reference density value difference to obtain the distribution network status value ZZ of each region.

[0067] Obtain the capacity of the transformers in the distribution network of each region, divide the acquisition time into several sub-periods, sort the capacity of the transformers according to the order of acquisition time, calculate the difference in the capacity of adjacent transformers, subtract the capacity of the transformer sorted later from the capacity of the transformer sorted earlier to obtain a sub-difference, sum all the sub-differences to obtain a sub-total difference, and at the same time, count the transformer capacity sorted later that is lower than the capacity of the transformer sorted earlier, sum to obtain a sub-total low value, perform weighted calculation on the sub-total difference and the sub-total low value, multiply them by the corresponding weight factors respectively, and obtain the transformer capacity trend value, normalize the transformer capacity trend value and the transformer capacity, calculate the inverse of the transformer capacity trend value and the transformer capacity for weighted calculation, and multiply them by the corresponding weight factors respectively to obtain the device state value QZ of the distribution network in each region;

[0068] Convert the corresponding values ​​of the distribution capacity status value RZ of each region and the distribution network status value ZZ of each region into lengths according to a certain ratio; construct a regular tetrahedron with the lengths of the distribution capacity status value RZ of each region and the distribution network status value ZZ of each region as the side length of the square at the base of the regular tetrahedron and the height of the regular tetrahedron respectively; convert the distribution network device status value QZ of each region in the on-site construction into lengths according to a certain ratio, and then construct a sphere with the length of the distribution network device status value QZ of each region as the radius, and make the center of the sphere coincide with the upper vertex of the regular tetrahedron; then identify the volume where the regular tetrahedron and the sphere do not coincide and mark it as the distribution network structure status value JZ of each region;

[0069] Compare and analyze the distribution network structure status value JZ of each region with the set distribution network structure status value reference threshold ZZ1, and compare and analyze the equipment process coefficient of each process part with the corresponding set equipment process reference threshold ZZ1;

[0070] When the distribution network structure state value is less than the corresponding set distribution network structure state value reference threshold ZZ1, the corresponding regional part will be calibrated as the first-level distribution structure demand regional signal; when the distribution network structure state value is equal to the corresponding set distribution network structure state value reference threshold ZZ1, the corresponding regional part will be calibrated as the second-level distribution structure demand regional signal; when the distribution network structure state value is greater than the corresponding set distribution network structure state value reference threshold ZZ1, the corresponding regional part will be calibrated as the third-level distribution structure demand regional signal; it should be noted that the smaller the distribution network structure state value of each region, the greater the demand for stable power consumption.

[0071] and sending the generated first-level distribution structure demand area signal, second-level distribution structure demand area signal, and third-level distribution structure demand area signal to the distribution network impact level determination unit;

[0072] The regional user analysis unit is used to receive the distribution network user type equipment parameters, and make judgments and analyses on them to obtain the first-level power supply user operation and demand signals, the second-level power supply user operation and demand signals and the third-level power supply user operation and demand signals.

[0073] Test the power supply fluctuation of distribution network for various equipment of users in each area. Measure the startup time and running speed under the power supply fluctuation of distribution network, mark them as QS and YS respectively, and use the set formula

[0074] Calculate the operation stability value SG of each device, b1, b2, b3 and b4 represent the set influencing factors, and their sizes are custom settings, with values ​​of 1.21, 1.16, 1.21 and 1.12 respectively. Q1 and Y1 are the startup time and operating speed of the set reference device respectively. d represents a natural constant, and its size is custom settings, specifically 2.121. Compare and analyze the operation stability value of each device with the set operation stability value reference threshold interval tv1. When the operation stability value of the device is higher than the maximum value of the set reference threshold interval tv1, the corresponding device is calibrated as a first-level operation stability device. When the operation stability value of the device is within the set reference threshold interval tv1, the corresponding device is calibrated as a second-level operation stability device. When the operation stability value of the device is lower than the minimum value of the set reference threshold interval tv1, the corresponding device is calibrated as a third-level operation stability device. Count the number of first-level operation stability devices, second-level operation stability devices and third-level operation stability devices in each area, respectively, and mark them as YW1, YW2 and YW3, according to the set formula Obtain the operational demand value YYZ for user equipment in each region. c1 and c2 are the sum of the number of first-level and second-level operational stability devices, respectively, and the impact factor for the number of third-level operational stability devices. Their values ​​are user-defined and take values ​​of 3.121 and 1.216, respectively. It should be noted that the longer the device startup time and the slower the operating speed during the power supply fluctuation test, the more affected the device's operation is and the greater the demand for power stability.

[0075] Obtain the user types of the distribution network in each region, specifically hospitals, high-tech enterprises, commercial complexes, road public facilities power supply, household power supply, and other power supply users, and match the corresponding power supply demand values ​​10, 9, 8, 4, 3, and 2, and mark them as the power supply demand values ​​of each type of user. Obtain the number of each type of user in the distribution network in each region, correspond to their power supply demand values, and sum them up and divide them by the total number of users to obtain the average power supply demand value YGX of the distribution network users in each region;

[0076] Convert the values ​​corresponding to the operational demand values ​​YYZ of user equipment in each region into lengths according to a certain ratio; construct an equilateral triangle with the lengths of the operational demand values ​​YYZ of user equipment in each region as the side lengths of the equilateral triangle; convert the average power demand values ​​YGX of distribution network users in each region into lengths according to a certain ratio, and then construct a circle with the lengths of the average power demand values ​​YGX of distribution network users in each region as the diameter, with the center of the circle coinciding with the upper vertex of the equilateral triangle; then identify the volume where the equilateral triangle and the circle do not overlap, and mark it as the power efficiency value YGZ of distribution network users in each region;

[0077] Set gradient reference intervals M1, M2, and M3 for the distribution network user efficiency values ​​in each region, and substitute the distribution network user efficiency values ​​into the preset gradient reference intervals M1, M2, and M3 for comparative analysis. The gradient reference intervals M1, M2, and M3 increase in a gradient manner.

[0078] When the distribution network user supply efficiency value of each region is within the preset gradient reference interval M1, a first-level power supply user operation and demand signal is generated; when the distribution network user supply efficiency value of each region is within the preset gradient reference interval M2, a second-level power supply user operation and demand signal is generated; when the distribution network user supply efficiency value of each region is within the preset gradient reference interval M3, a third-level power supply user operation and demand signal is generated;

[0079] Sending the first-level power supply user operation demand signal, the second-level power supply user operation demand signal, and the third-level power supply user operation demand signal to the distribution network impact level determination unit;

[0080] The distribution network impact level determination unit is used to receive the power supply user operation and demand signal and the power supply user operation and demand signal, and make determination and analysis. The specific analysis is as follows:

[0081] According to the distribution stability area level judgment signal, a set N is established. The first-level distribution structure demand area signal is marked as element e1, the second-level distribution structure demand area signal is marked as element e2, and the third-level distribution structure demand area signal is marked as element e3. Element e1∈set N, element e2∈set N, and element e3∈set N.

[0082] Establish a set Z based on the power supply user's demand level judgment signal, mark the first-level power supply user's demand as element v1, the second-level power supply user's demand as element v2, and the third-level power supply user's demand as element v3, and element v1∈set Z, element v2∈set Z, and element v3∈set Z;

[0083] The sets N and Z are combined. When N∪Z={e1,v1}, the area generates the corresponding first-level distribution network influence area set;

[0084] When N∪Z={e1, v2} or {e2, v1} or {e2, v2} or {e2, v3} or {e3, v2}, the area generates the corresponding secondary distribution network influence area set;

[0085] When N∪Z={e3,v3}, the area generates the corresponding three-level distribution network influence area set.

[0086] The first-level distribution network influence area set, the second-level distribution network influence area set and the third-level distribution network influence area set are sent to the power consumption early warning and adjustment module.

[0087] The off-peak power consumption analysis module is used to receive the off-peak power consumption status parameters of the distribution network, determine and analyze them, obtain the off-peak power consumption status value of the distribution network, and send it to the power consumption warning and adjustment module. The specific analysis is as follows:

[0088] Current monitoring analysis:

[0089] Obtain the current parameters of the distribution network during the off-peak period, establish a two-dimensional coordinate system with time as the horizontal axis and current value as the vertical axis, draw points on the coordinate system with the current value corresponding to each monitoring time, connect each point in sequence with a broken line, and obtain a line graph of the current value changing with time, marked as current value JDi, i represents the number of the monitoring time, and the value range is 1, 2, 3, 4...I, I represents the maximum value of the monitoring time number, calculate the slope of each monitoring point from the coordinate graph, marked as Xi, representing the slope of each monitoring point and the adjacent coordinate point, connect the maximum current value point DLmax and the minimum current value point DLmin in the coordinate graph, draw a perpendicular line to each monitoring time point, and the vertical length DCi of each monitoring point is based on the set formula Obtain the current fluctuation value DB, where f1, f2, and f3 are the set influencing factors, and their sizes are custom settings, with values ​​of 4.12, 4.11, and 1.26, respectively. J1 represents the average current value at each monitoring time point, J2 represents the set reference slope value, and J3 represents the set reference vertical length of the monitoring point.

[0090] The current state value DLZ is obtained according to the set formula DLZ = f4 × (DLmxa - J4) + f5 × (DLmin - J5) + f6 × DB. f4, f5, and f6 are the set influencing factors, and their sizes are custom settings, with values ​​of 3.12, 1.12, and 1.46, respectively. J4 and J5 represent the set maximum and minimum reference current values.

[0091] Voltage monitoring analysis:

[0092] Obtain the voltage parameters of the distribution network during the off-peak period, display the voltage value of the distribution network during the off-peak period as a curve in the coordinate system, and establish the standard voltage maximum value straight line and the standard voltage minimum value straight line for the distribution network during the off-peak period in the coordinate system. Statistically calculate the area enclosed by the standard voltage maximum value straight line, the standard voltage minimum value straight line and the voltage change curve, and sum them to obtain the distribution network voltage positive standard value. Statistically calculate the area enclosed by the standard voltage maximum value straight line and the voltage change curve, and sum them to obtain the distribution network voltage maximum deviation. Subtract the maximum value of the voltage in the coordinate diagram from the set maximum value of the standard voltage to obtain the maximum voltage deviation value. Subtract the minimum value of the voltage in the coordinate diagram from the set maximum value of the standard voltage. The minimum standard voltage value is obtained by difference, and the minimum voltage deviation value is obtained. The maximum voltage deviation value and the minimum voltage deviation value are weighted and summed, and multiplied by the corresponding proportional factor to obtain the most deviant voltage value; the most deviant voltage value and the large deviation of the distribution network voltage are converted into lengths according to a certain ratio, and a cone is constructed with the lengths of the most deviant voltage value and the large deviation of the distribution network voltage as the base diameter and the height of the cone respectively; the positive standard value of the distribution network voltage is converted into length according to a certain ratio, and a sphere is constructed at the point where the vertex of the cone coincides with the center of the sphere; the top sphere is constructed with the length of the positive standard value of the distribution network voltage as the radius of the sphere, and the volume of the abnormal cone that does not overlap is extracted and marked as the voltage state value DYZ;

[0093] Reactive power monitoring and analysis:

[0094] The reactive power value of the distribution network during the off-peak period is obtained through the power factor meter, marked as PWGi, and the maximum value PWGmax and minimum value PWGmin of the reactive power value during the off-peak period of the distribution network are obtained according to the set formula Get the reactive power state value PZT, f7, f8 and f9 are the set influence factors, whose sizes are custom settings, and the values ​​are 3.112, 1.112 and 1.146 respectively. P1 and P2 represent the set maximum and minimum values ​​of the reference reactive power value;

[0095] Normalize the current state value DLZ, voltage state value DYZ and reactive power state value PZT according to the set formula To obtain the power consumption state value YZT of the distribution network during the off-peak period, y1 is the preset weight coefficient of the sum of the current state value DLZ, the voltage state value DYZ and the reactive power state value PZT;

[0096] The power consumption warning and adjustment module is used to receive the power consumption status value of the distribution network during the off-peak period and the distribution network impact area set, make judgments and analyses on them, generate corresponding signals for early warning and alarm, and adjust the corresponding early warning. The specific analysis is as follows:

[0097] Obtain the off-peak power consumption status value of the distribution network in each region in real time, set the reference threshold value xx1 for the off-peak power consumption status value of the distribution network, and compare and analyze the off-peak power consumption status value of the distribution network in each region with the power consumption status value reference threshold xx1; when the off-peak power consumption status value of the distribution network is greater than the power consumption status value reference threshold xx1, generate a "distribution network power consumption abnormality and distribution network power consumption adjustment warning signal" for the distribution network power consumption; when the off-peak power consumption status value of the distribution network is less than or equal to the power consumption status value reference threshold xx1, the distribution network power consumption is deemed normal and no corresponding operation is performed;

[0098] The "distribution network power consumption is abnormal and the distribution network power consumption needs to be adjusted warning signal" is matched with the distribution network influence area set. If the distribution network area with abnormal power consumption is in the first-level distribution network influence area set, the adjustment measures correspond to selecting high-precision and high-reliability voltage stabilizing equipment, establishing a backup power supply system, such as diesel generators, UPS, etc., taking filters for treatment, and using advanced equipment such as static VAR compensators; if the distribution network area with abnormal power consumption is in the second-level distribution network influence area set, the adjustment measures correspond to selecting general-precision voltage stabilizers or current stabilizers, optimizing the configuration of the power system, such as adding power lines, adjusting transformer capacity, etc., and installing reactive compensation devices with better performance; if the distribution network area with abnormal power consumption is in the third-level distribution network influence area set, the adjustment measures correspond to checking the power lines to ensure that the power lines are firmly connected, checking the electrical equipment and repairing any problems, and installing reactive compensation devices with general performance.

[0099] The power adjustment verification module is used to receive the "distribution network power consumption is abnormal and the distribution network power consumption needs to be adjusted signal" and retrieve the power adjustment user response parameters for analysis and processing. The specific operation process is as follows:

[0100] Obtain the number of complaints TS of each user during the off-peak period of the distribution network and the user satisfaction survey information on the off-peak period of the distribution network within a period of time, specifically dissatisfied, average, relatively satisfied and satisfied, with corresponding values ​​of 2, 5, 8, and 10 respectively. Take the average evaluation value of each satisfaction survey user, calculated as MP, and normalize the number of complaints TS and the average evaluation value MP according to the set formula The user response coefficient YX of electricity adjustment is obtained, where o1 and o2 are the set influencing factors, and their sizes are custom settings, with values ​​of 1.1 and 2.2 respectively. m represents the length of the acquisition time;

[0101] The power consumption adjustment user response coefficient is compared and analyzed with the set comparison threshold WW1. When the power consumption adjustment user response coefficient is less than the set comparison threshold WW1, a power consumption adjustment negative feedback signal is generated. Conversely, when the selection quality coefficient is greater than or equal to the set comparison threshold WW1, a power consumption adjustment positive feedback signal is generated.

[0102] When the power consumption is adjusted, the positive feedback signal is sent to the display terminal in the form of a text description of "the power consumption of the distribution network during the off-peak period has been well controlled";

[0103] When the power consumption is adjusted with a negative feedback signal, it is sent to the display terminal for display in the form of a text description such as "power consumption in the off-peak period of the distribution network is not well controlled".

[0104] The database is used to store the set maximum and minimum values ​​of the reference reactive power value and the power consumption adjustment user response coefficient comparison threshold value, etc.

[0105] The above is an illustration of the present invention and should not be considered as limiting thereof. Although several exemplary embodiments of the present invention have been described, it will be readily understood by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined by the claims. It should be understood that the above is an illustration of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. An intelligent control system for reactive voltage during off-peak hours of a distribution network, comprising a data acquisition module, a display terminal and a database, characterized in that: Also includes: The distribution network impact level analysis module is internally provided with a distribution network structure analysis unit, a regional user analysis unit and a distribution network impact level determination unit; The off-peak power consumption analysis module is used to receive the power consumption status parameters of the distribution network during the off-peak period, determine and analyze them, obtain the power consumption status value of the distribution network during the off-peak period, and send it to the power consumption early warning and adjustment module; The power consumption warning and adjustment module is used to receive the power consumption status value during the off-peak period of the distribution network and the set of distribution network impact areas, make judgments and analyses on them, generate corresponding signals for warning and alarm, and adjust the corresponding warnings. The specific analysis is as follows: Obtain the power consumption status value of the distribution network in each region during the off-peak period in real time, compare the power consumption status value of the distribution network in each region during the off-peak period with the power consumption status value reference threshold, and when the power consumption status value of the distribution network during the off-peak period is greater than the power consumption status value reference threshold, generate a warning signal indicating that the distribution network power consumption is abnormal and the distribution network power consumption needs to be adjusted; Match the warning signals indicating abnormal power consumption in the distribution network and the need for adjustment of power consumption in the distribution network with the set of distribution network influence areas. If the distribution network area with abnormal power consumption is in the set of first-level distribution network influence areas, the corresponding adjustment measures include selecting high-precision and high-reliability voltage stabilizing equipment, establishing a backup power supply system, adopting filters for treatment, and using advanced static VAR compensator equipment. If the distribution network area with abnormal power consumption is in the set of second-level distribution network influence areas, the corresponding adjustment measures include selecting general-precision voltage stabilizers or current stabilizers, optimizing the configuration of the power system, and installing reactive power compensation devices. If the distribution network area with abnormal power consumption is in the set of third-level distribution network influence areas, the corresponding adjustment measures include checking the power lines to ensure that the power lines are firmly connected, checking the electrical equipment and repairing any problems, and installing reactive power compensation devices. The power adjustment verification module is used to receive a signal indicating that the power consumption of the distribution network is abnormal and needs to be adjusted, and retrieve the power adjustment user response parameters for analysis and processing; The distribution network structure analysis unit is used to receive distribution network structure parameters, determine and analyze them, and obtain a set of first-level distribution stability regions, a set of second-level distribution stability regions, and a set of third-level distribution stability regions. The specific analysis is as follows: The transmission capacity of the distribution network in each region is substituted into the box plot. Specifically, the collected transmission capacity of the distribution network in each region is substituted into the box plot, and the values ​​are arranged from small to large to obtain the lower limit, lower quartile, median, upper quartile and upper limit. The lower quartile, median and upper quartile are the 25%, 50% and 75% of all the values ​​after they are arranged from small to large, respectively, and are recorded as XS, ZS and SS. The transmission capacity trend value CQ of the distribution network in each region is obtained by taking the difference between XS and SS. The transmission capacity trend value CQ and the transmission capacity median value ZS are normalized and substituted into the set formula The distribution capacity state value RZ of each area is obtained, and a1 and a2 are respectively represented as the set influencing factors; Obtain the number of substations in each regional distribution network and calculate the actual area of ​​each region. Divide the two to obtain the substation distribution density value of each region. Then calculate the difference between the substation distribution density value of each region and the preset substation distribution density value of each region to obtain the substation distribution density value difference. Multiply the substation distribution density value difference by the corresponding preset factor and divide it by the set substation distribution reference density value difference to obtain the distribution network status value ZZ of each region. Obtain the capacity of the transformers in the distribution network of each region, divide the acquisition time into several sub-periods, sort the capacity of the transformers according to the order of acquisition time, calculate the difference in the capacity of adjacent transformers, subtract the capacity of the transformer sorted later from the capacity of the transformer sorted earlier to obtain a sub-difference, sum all the sub-differences to obtain a sub-total difference, and at the same time, count the transformer capacity sorted later that is lower than the capacity of the transformer sorted earlier, sum to obtain a sub-total low value, perform weighted calculation on the sub-total difference and the sub-total low value, multiply them by the corresponding weight factors respectively, and obtain the transformer capacity trend value, normalize the transformer capacity trend value and the transformer capacity, calculate the inverse of the transformer capacity trend value and the transformer capacity for weighted calculation, and multiply them by the corresponding weight factors respectively to obtain the device state value QZ of the distribution network in each region; Convert the corresponding values ​​of the distribution capacity status value RZ of each region and the distribution network status value ZZ of each region into lengths according to a certain ratio; construct a regular tetrahedron with the lengths of the distribution capacity status value RZ of each region and the distribution network status value ZZ of each region as the side length of the square at the base of the regular tetrahedron and the height of the regular tetrahedron respectively; convert the distribution network device status value QZ of each region in the on-site construction into lengths according to a certain ratio, and then construct a sphere with the length of the distribution network device status value QZ of each region as the radius, and make the center of the sphere coincide with the upper vertex of the regular tetrahedron; then identify the volume where the regular tetrahedron and the sphere do not coincide and mark it as the distribution network structure status value JZ of each region; Compare and analyze the distribution network structure status value JZ of each region with the set distribution network structure status value reference threshold ZZ1, and compare and analyze the equipment process coefficient of each process part with the corresponding set equipment process reference threshold ZZ1; When the distribution network structure state value is less than the corresponding set distribution network structure state value reference threshold ZZ1, the corresponding area portion is calibrated as the first-level distribution structure demand area signal; when the distribution network structure state value is equal to the corresponding set distribution network structure state value reference threshold ZZ1, the corresponding area portion is calibrated as the second-level distribution structure demand area signal; when the distribution network structure state value is greater than the corresponding set distribution network structure state value reference threshold ZZ1, the corresponding area portion is calibrated as the third-level distribution structure demand area signal; The generated first-level distribution structure demand area signal, second-level distribution structure demand area signal and third-level distribution structure demand area signal are sent to the distribution network impact level determination unit.

2. The intelligent control system for reactive power and voltage during off-peak period of distribution network according to claim 1, characterized in that: The regional user analysis unit is used to receive the distribution network user type equipment parameters, and determine and analyze them to obtain the first-level power supply user operation demand signal, the second-level power supply user operation demand signal and the third-level power supply user operation demand signal. The specific analysis is as follows: Test the power supply fluctuation of the distribution network for various devices of users in each region, analyze and calculate the operation stability value SG of each device; compare and analyze the operation stability value of each device with the set operation stability value reference threshold interval tv1 to obtain the operation demand value YYZ of user equipment in each region; Obtain the user types of the distribution network in each region, and analyze and obtain the average power supply demand YGX of the users in the distribution network in each region; Convert the values ​​corresponding to the operational demand values ​​YYZ of user equipment in each region into lengths according to a certain ratio; construct an equilateral triangle with the lengths of the operational demand values ​​YYZ of user equipment in each region as the side lengths of the equilateral triangle; convert the average power demand values ​​YGX of distribution network users in each region into lengths according to a certain ratio, and then construct a circle with the lengths of the average power demand values ​​YGX of distribution network users in each region as the diameter, with the center of the circle coinciding with the upper vertex of the equilateral triangle; then identify the volume where the equilateral triangle and the circle do not overlap, and mark it as the power efficiency value YGZ of distribution network users in each region; Set gradient reference intervals M1, M2, and M3 for the distribution network user efficiency values ​​in each region, and substitute the distribution network user efficiency values ​​into the preset gradient reference intervals M1, M2, and M3 for comparative analysis. The gradient reference intervals M1, M2, and M3 increase in a gradient manner. When the distribution network user supply efficiency value of each region is within the preset gradient reference interval M1, a first-level power supply user operation and demand signal is generated; when the distribution network user supply efficiency value of each region is within the preset gradient reference interval M2, a second-level power supply user operation and demand signal is generated; when the distribution network user supply efficiency value of each region is within the preset gradient reference interval M3, a third-level power supply user operation and demand signal is generated; The first-level power supply user operation and demand signal, the second-level power supply user operation and demand signal, and the third-level power supply user operation and demand signal are sent to the distribution network impact level determination unit.

3. The intelligent control system for reactive power and voltage during off-peak hours of a distribution network according to claim 2, characterized in that: The distribution network impact level determination unit is used to receive the power supply user operation demand signal and the power supply user operation demand signal, and make a determination and analysis. The specific analysis is as follows: According to the distribution stability area level judgment signal, a set N is established. The first-level distribution structure demand area signal is marked as element e1, the second-level distribution structure demand area signal is marked as element e2, and the third-level distribution structure demand area signal is marked as element e3. Element e1∈set N, element e2∈set N, and element e3∈set N. Establish a set Z based on the power supply user's demand level judgment signal, mark the first-level power supply user's demand as element v1, the second-level power supply user's demand as element v2, and the third-level power supply user's demand as element v3, and element v1∈set Z, element v2∈set Z, and element v3∈set Z; The sets N and Z are combined. When N∪Z={e1,v1}, the area generates the corresponding first-level distribution network influence area set; When N∪Z={e1, v2} or {e2, v1} or {e2, v2} or {e2, v3} or {e3, v2}, the area generates the corresponding secondary distribution network influence area set; When N∪Z={e3, v3}, the region generates the corresponding set of influence areas of the three-level distribution network; The first-level distribution network influence area set, the second-level distribution network influence area set and the third-level distribution network influence area set are sent to the power consumption early warning and adjustment module.

4. The intelligent control system for reactive power and voltage during off-peak period of distribution network according to claim 1, characterized in that: The specific analysis method of the power consumption status value of the distribution network during the off-peak period is as follows: Current monitoring and analysis: Obtain the current parameters during the off-peak period of the distribution network, and obtain the current state value DLZ through statistical analysis; Voltage monitoring and analysis: Obtain voltage parameters during the off-peak period of the distribution network and perform statistical analysis to obtain the voltage status value DYZ; Reactive power monitoring and analysis: The reactive power value during the off-peak period of the distribution network is obtained through the power factor meter, and the reactive power status value PZT is obtained through statistical analysis; Normalize the current state value DLZ, voltage state value DYZ and reactive power state value PZT according to the set formula To obtain the power consumption state value YZT of the distribution network during the off-peak period, y1 is the preset weight coefficient of the sum of the current state value DLZ, the voltage state value DYZ and the reactive power state value PZT.

5. The intelligent control system for reactive power and voltage during off-peak period of distribution network according to claim 1, characterized in that: The specific analysis method of retrieving the power consumption adjustment user response parameters for analysis and processing is as follows: Obtain the number of complaints TS of each user regarding electricity consumption during the off-peak period of the distribution network within a period of time and obtain the user satisfaction survey information on electricity consumption during the off-peak period of the distribution network, and statistically analyze to obtain the electricity adjustment user response coefficient; The power consumption adjustment user response coefficient is compared and analyzed with the set comparison threshold WW1. When the power consumption adjustment user response coefficient is less than the set comparison threshold WW1, a power consumption adjustment negative feedback signal is generated. Conversely, when the selection quality coefficient is greater than or equal to the set comparison threshold WW1, a power consumption adjustment positive feedback signal is generated. When the power consumption adjustment positive feedback signal is generated, the text word is sent to the display terminal for display; When the power adjustment negative feedback signal is generated, the second text word is sent to the display terminal for display.

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