Reactive voltage intelligent control system for off-peak period of power distribution network

Abstract

The invention discloses a reactive voltage intelligent control system for a power distribution network in a valley period, which relates to the technical field of power distribution network control and comprises a data acquisition module, a power distribution network influence level analysis module, a valley power utilization analysis module, a power utilization early warning and adjustment module, a power utilization adjustment verification module, a display terminal and a database. Through judgment and analysis of power distribution network structure parameters, power distribution network user type equipment parameters and power distribution network off-peak period power utilization state parameters, a power distribution network influence area set and power distribution network power utilization generation power distribution network power utilization abnormity and power distribution network power utilization need adjustment early warning signals are obtained; according to the method, power grid structures and user conditions of different regions of the power distribution network can be comprehensively considered, abnormal conditions of the power distribution network in the off-peak period can be coped with by adopting different levels, the conditions after checking and adjusting can be timely reflected, and the reliability and the safety of the power distribution network are improved.

Description

Technical Field

[0001] The invention relates to the technical field of distribution network control, and in particular to an intelligent control system for reactive voltage during valley period of distribution network. Background Art

[0002] With the continuous development of society and the continuous advancement of science and technology, the development of the power industry is becoming more and more extensive, and the demand for electricity is also increasing. At the same time, hospitals, large industrial enterprises and commercial centers have higher and higher requirements for the reliability and quality of electricity during the off-peak period of the distribution network. The traditional reactive voltage control method is difficult to meet the requirements of the complex changes of the power grid during the off-peak period of the distribution network, and the intelligent reactive voltage control system of the distribution network off-peak period came into being.

[0003] When operating, the traditional intelligent control system for reactive voltage during the off-peak period of the distribution network cannot take into account the distribution network structure in the area and the specific users' 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 distribution networks is unable to make timely adjustments to abnormal operation of distribution networks, 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 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] A reactive voltage intelligent control system for a distribution network during off-peak periods 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, and make judgments and analyses thereof, and 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 in each region during the off-peak period in real time, set the reference threshold value xx1 of the power consumption status value of the distribution network during the off-peak period, and compare and analyze 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 value xx1; 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 value xx1, generate a warning signal of abnormal distribution network power consumption and the distribution network power consumption needs to be adjusted;

[0013] The distribution network power consumption generated by the distribution network power consumption abnormality 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 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 line to ensure that the power line is firmly connected, check the electrical equipment and repair it if there is any problem, and install reactive power compensation devices with general performance, etc.;

[0014] The power adjustment verification module is used to receive power consumption anomalies in the distribution network and the power consumption of the distribution network needs to be adjusted, and retrieve 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 determine and analyze them to obtain a primary distribution stability area set, a secondary distribution stability area set and a tertiary distribution stability area set.

[0017] Substitute the transmission capacity of the distribution network in each region into the box plot. Specifically, substitute the collected transmission capacity of the distribution network in each region into the box plot, arrange the values ​​from small to large, and obtain the lower limit, lower quartile, median, upper quartile and upper limit in turn. 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. By making a difference between XS and SS, the transmission capacity trend value CQ of the distribution network in each region is obtained. 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, and obtain the distribution density value of each region substation, then calculate the difference between the obtained distribution density value of each region substation and the preset distribution density value of each region substation, and 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, and obtain the network status value ZZ of each regional distribution network;

[0019] Obtain the capacity of the transformer in each regional distribution network, divide the acquisition time into several sub-periods, sort the capacity of the transformer according to the order of acquisition time, calculate the difference of the capacity of adjacent transformers, subtract the capacity of the transformer in the front order from the capacity of the transformer in the back order to obtain the sub-difference, sum all the sub-differences to obtain the sub-total difference, and at the same time, count the transformer capacity in the back order that is lower than the transformer capacity in the front order, sum to obtain the 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, 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, and multiply them by the corresponding weight factors respectively to obtain the device state value QZ of the distribution network in each region;

[0020] The values ​​corresponding to the distribution capacity state value RZ of each region and the distribution network state value ZZ of each region are converted into lengths according to a certain ratio; a regular tetrahedron is constructed with the lengths of the distribution capacity state value RZ of each region and the distribution network state value ZZ of each region as the side length of the square of the base of the regular tetrahedron and the height of the regular tetrahedron; the distribution network device state value QZ of each region in the on-site construction is converted into a length according to a certain ratio, and then a sphere is constructed with the length of the distribution network device state value QZ of each region as the radius, and the center of the sphere is overlapped with the upper vertex of the regular tetrahedron; then the volume that does not overlap with the sphere is identified and marked as the distribution network structure state value JZ of each region;

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

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

[0023] and sending the generated primary distribution structure demand area signal, secondary distribution structure demand area signal and tertiary 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 thereof 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 distribution network for various equipment of users in each region, analyze and calculate the stable operation value SG of each equipment; compare and analyze the stable operation value of each equipment with the set stable operation value reference threshold interval tv1, and obtain the demand value YYZ of user equipment in each region;

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

[0028] Convert the value corresponding to the operation demand value YYZ of user equipment in each region into a length according to a certain ratio; construct an equilateral triangle with the length of the operation demand value YYZ of user equipment in each region as the side length of the equilateral triangle; convert the average power demand value YGX of distribution network users in each region into a length according to a certain ratio, and then construct a circle with the length of the average power demand value YGX of distribution network users in each region as the diameter, and make the center of the circle coincide with the upper vertex of the equilateral triangle; then identify the volume that does not coincide with the circle, and mark it as the power efficiency value YGZ of distribution network users in each region;

[0029] Set the gradient reference intervals M1, M2 and M3 of the distribution network user supply efficiency values ​​in each region, and substitute the distribution network user supply efficiency values ​​into the preset gradient reference intervals M1, M2 and M3 for comparative analysis, wherein 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 demand signal and the power supply user operation demand signal, and make determination and analysis. The specific analysis is as follows:

[0034] According to the distribution stability area level determination 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, and element e1∈set N, element e2∈set N, element e3∈set N;

[0035] According to the power supply user's transportation demand level determination signal, a set Z is established, the first-level power supply user's transportation demand is marked as element v1, the second-level power supply user's transportation demand is marked as element v2, and the third-level power supply user's transportation demand is marked as element v3, and element v1∈set Z, element v2∈set Z, element v3∈set Z;

[0036] The sets N and Z are processed as a union. When N∪Z={e1, v1}, the area generates the corresponding set of areas affected by the primary distribution network.

[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 a set of influence areas corresponding to the three-level distribution network.

[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] The current state value DLZ, voltage state value DYZ and reactive power state value PZT are normalized 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 consumption adjustment user response parameters for analysis and processing is as follows:

[0049] Obtain the number of complaints TS of each user during the off-peak period of the distribution network within a period of time and obtain the user satisfaction survey information on the off-peak period of the distribution network, and obtain the power adjustment user response coefficient through statistical analysis;

[0050] The power consumption adjustment user reaction coefficient is compared and analyzed with the set comparison threshold WW1. When the power consumption adjustment user reaction coefficient is less than the set comparison threshold WW1, a power consumption adjustment negative feedback signal is generated. On the contrary, 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 for display 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 description in the form of a text description of "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, obtains 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 generating an abnormal distribution network power consumption and a distribution network power consumption adjustment need warning signal, and matches the distribution network influence area set with the distribution network power consumption anomaly, obtains power consumption adjustment measures for the distribution network off-peak period corresponding to sets of different levels, timely detects the abnormal operation of the distribution network during the 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 during off-peak periods and the satisfaction survey information about electricity consumption during off-peak periods. Compared with the set comparison threshold, the control status of electricity consumption in the distribution network during off-peak periods is displayed in a timely manner, 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 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 technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments 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 creative work 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 is used to receive the distribution network structure parameters, distribution network user type equipment parameters, distribution network off-peak period power consumption state parameters and power consumption adjustment user response parameters, and send them to the distribution network impact level analysis module, off-peak power consumption analysis module and power consumption adjustment verification module. The distribution network structure parameters include the transmission capacity of the distribution network, the number of substations in the distribution network and the capacity of the transformer; the distribution network user type equipment parameters include the start-up time, running speed and various types of distribution of users in each region under the condition of power supply fluctuation of the distribution network; the distribution network off-peak period power consumption state parameters include the current parameters, voltage parameters and reactive power parameters of the power grid off-peak period; the power consumption adjustment user response parameters include the number of complaints about power consumption during the off-peak period and the satisfaction survey information of power consumption during the off-peak period.

[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 determine and analyze them to obtain a primary distribution stability area set, a secondary distribution stability area set and a tertiary 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 turn. The lower quartile, median and upper quartile are the 25%, 50% and 75% of all the values ​​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 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, and their 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, and obtain the distribution density value of each region substation, then calculate the difference between the obtained distribution density value of each region substation and the preset distribution density value of each region substation, and 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, and obtain the network status value ZZ of each regional distribution network;

[0067] Obtain the capacity of the transformer in each regional distribution network, divide the acquisition time into several sub-periods, sort the capacity of the transformer according to the order of acquisition time, calculate the difference of the capacity of adjacent transformers, subtract the capacity of the transformer in the front order from the capacity of the transformer in the back order to obtain the sub-difference, sum all the sub-differences to obtain the sub-total difference, and at the same time, count the transformer capacity in the back order that is lower than the transformer capacity in the front order, sum to obtain the 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, 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, and multiply them by the corresponding weight factors respectively to obtain the device state value QZ of the distribution network in each region;

[0068] The values ​​corresponding to the distribution capacity state value RZ of each region and the distribution network state value ZZ of each region are converted into lengths according to a certain ratio; a regular tetrahedron is constructed with the lengths of the distribution capacity state value RZ of each region and the distribution network state value ZZ of each region as the side length of the square of the base of the regular tetrahedron and the height of the regular tetrahedron; the distribution network device state value QZ of each region in the on-site construction is converted into a length according to a certain ratio, and then a sphere is constructed with the length of the distribution network device state value QZ of each region as the radius, and the center of the sphere is overlapped with the upper vertex of the regular tetrahedron; then the volume that does not overlap with the sphere is identified and marked as the distribution network structure state value JZ of each region;

[0069] Compare and analyze the distribution network structure state value JZ of each region with the set distribution network structure state value reference threshold value ZZ1, and compare and analyze the equipment process coefficient of each process part with the corresponding set equipment process reference threshold value 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 is 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 is 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 is 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 electricity consumption.

[0071] and sending the generated primary distribution structure demand area signal, secondary distribution structure demand area signal and tertiary 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 thereof 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 various regions. Measure the startup time and running speed under the condition of power supply fluctuation of distribution network, marked as QS and YS respectively. According to the set formula

[0074] Calculate the operation stability value SG of each device, b1, b2, b3 and b4 represent the set influencing factors, whose sizes are custom settings, and the values ​​are 1.21, 1.16, 1.21 and 1.12 respectively. Q1 and Y1 are the startup time and running speed of the set reference device respectively. d represents a natural constant, whose 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 The operation demand value YYZ of user equipment in each region is obtained. c1 and c2 are the sum of the number of first-level operation and stability equipment and the number of second-level operation and stability equipment, and the setting influence factor of the number of third-level operation and stability equipment, respectively. The size is a custom setting, and the values ​​are 3.121 and 1.216 respectively. It should be noted that the longer the equipment starts up and the slower the running speed in the power supply fluctuation test, the more the equipment operation is affected, and the greater the demand for power stability.

[0075] Get 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, 2, and mark them as the power supply demand values ​​of each type of user, and get the number of users of each type 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, and get the average power supply demand value YGX of the users in the distribution network in each region;

[0076] Convert the value corresponding to the operation demand value YYZ of user equipment in each region into a length according to a certain ratio; construct an equilateral triangle with the length of the operation demand value YYZ of user equipment in each region as the side length of the equilateral triangle; convert the average power demand value YGX of distribution network users in each region into a length according to a certain ratio, and then construct a circle with the length of the average power demand value YGX of distribution network users in each region as the diameter, and make the center of the circle coincide with the upper vertex of the equilateral triangle; then identify the volume that does not coincide with the circle, and mark it as the power efficiency value YGZ of distribution network users in each region;

[0077] Set the gradient reference intervals M1, M2 and M3 of the distribution network user supply efficiency values ​​in each region, and substitute the distribution network user supply efficiency values ​​into the preset gradient reference intervals M1, M2 and M3 for comparative analysis, wherein 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 and demand signal, the second-level power supply user operation and demand signal, and the third-level power supply user operation and 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 demand signal and the power supply user operation demand signal, and make determination and analysis. The specific analysis is as follows:

[0081] According to the distribution stability area level determination 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, and element e1∈set N, element e2∈set N, element e3∈set N;

[0082] According to the power supply user's transportation demand level determination signal, a set Z is established, the first-level power supply user's transportation demand is marked as element v1, the second-level power supply user's transportation demand is marked as element v2, and the third-level power supply user's transportation demand is marked as element v3, and element v1∈set Z, element v2∈set Z, element v3∈set Z;

[0083] The sets N and Z are processed as a union. When N∪Z={e1, v1}, the area generates the corresponding set of areas affected by the primary distribution network.

[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 a set of influence areas corresponding to the three-level distribution network.

[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 power consumption status parameters of the distribution network during the off-peak period, judge 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 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, and connect each point in turn with a broken line to obtain a line graph of the current value changing with time, marked as the 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 The current fluctuation value DB is obtained, 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] According to the set formula DLZ = f4 × (DLmxa-J4) + f5 × (DLmin-J5) + f6 × DB, the current state value DLZ is obtained. 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. Count the areas 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 get the positive standard value of the distribution network voltage. Count the areas enclosed by the standard voltage maximum value straight line and the voltage change curve, and sum them to get the large deviation value of the distribution network voltage. Subtract the maximum value of the voltage in the coordinate diagram from the set maximum value of the standard voltage to get 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 to obtain the minimum voltage deviation value, the maximum voltage deviation value and the minimum voltage deviation value are weighted summed, and multiplied by the corresponding proportional factor to obtain the most deviated voltage value; the most deviated 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 deviated voltage value and the large deviation of the distribution network voltage as the bottom circle 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 when the vertex of the cone coincides with the center of the sphere, and 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 The reactive power state value PZT is obtained, f7, f8 and f9 are the set influencing factors, and their sizes are custom settings, with values ​​of 3.112, 1.112 and 1.146 respectively. P1 and P2 represent the maximum and minimum values ​​of the set reference reactive power values;

[0095] The current state value DLZ, voltage state value DYZ and reactive power state value PZT are normalized 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, and make judgments and analyses on them, and generate corresponding signals for early warning and alarm, and adjust the corresponding early warning. The specific analysis is as follows:

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

[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 the selection of high-precision and high-reliability voltage stabilizing equipment, and the establishment of a backup power supply system, such as diesel generators, UPS, etc., the use of filters for treatment, and the use of 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 the selection of general-precision voltage stabilizers or current stabilizers, and the optimization of the power system configuration, 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 them if there are any problems, and installing reactive compensation devices with general performance.

[0099] The power adjustment verification module is used to receive the "power consumption of the distribution network is abnormal and the power consumption of the distribution network 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 within a period of time and obtain the user's satisfaction survey information on the off-peak period of the distribution network, 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 power consumption adjustment user reaction coefficient YX is obtained, o1 and o2 are the set influence factors, whose sizes are custom settings, and the values ​​are 1.1 and 2.2 respectively, and m represents the length of the acquisition time;

[0101] The power consumption adjustment user reaction coefficient is compared and analyzed with the set comparison threshold WW1. When the power consumption adjustment user reaction coefficient is less than the set comparison threshold WW1, a power consumption adjustment negative feedback signal is generated. On the contrary, 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 for display 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 description in the form of a text description of "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 reaction coefficient comparison threshold value, etc.

[0105] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated 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 in the claims. It should be understood that the above is an explanation 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: A distribution network impact level analysis module, which 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 early 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, and 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: 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 that the distribution network power consumption is abnormal and the distribution network power consumption needs to be adjusted; Match the warning signals of 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 are to select high-precision and high-reliability voltage stabilizing equipment, establish a backup power supply system, adopt filters for treatment, and use 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 are to select general-precision voltage stabilizers or current stabilizers, optimize the configuration of the power system, and install 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 are to check the power lines to ensure that the power lines are firmly connected, check the electrical equipment and repair it if there is any problem, and install reactive power compensation devices; The power adjustment verification module is used to receive signals that the power consumption of the distribution network is abnormal and needs to be adjusted, and to retrieve the power adjustment user response parameters for analysis and processing.

2. According to claim 1, a reactive voltage intelligent control system for a distribution network during off-peak hours is characterized in that: The distribution network structure analysis unit is used to receive distribution network structure parameters, and determine and analyze them to obtain a primary distribution stability area set, a secondary distribution stability area set, and a tertiary distribution stability area set. The specific analysis is as follows: Substitute the transmission capacity of the distribution network in each region into the box plot. Specifically, substitute the collected transmission capacity of the distribution network in each region into the box plot, arrange the values ​​from small to large, and obtain the lower limit, lower quartile, median, upper quartile and upper limit in turn. 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. By making a difference between XS and SS, the transmission capacity trend value CQ of the distribution network in each region is obtained. 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 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, and 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 network status value ZZ of each regional distribution network; Obtain the capacity of the transformer in each regional distribution network, divide the acquisition time into several sub-periods, sort the capacity of the transformer according to the order of acquisition time, calculate the difference of the capacity of adjacent transformers, subtract the capacity of the transformer in the front order from the capacity of the transformer in the back order to obtain the sub-difference, sum all the sub-differences to obtain the sub-total difference, and at the same time, count the transformer capacity in the back order that is lower than the transformer capacity in the front order, sum to obtain the 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, 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, and multiply them by the corresponding weight factors respectively to obtain the device state value QZ of the distribution network in each region; The values ​​corresponding to the distribution capacity state value RZ of each region and the distribution network state value ZZ of each region are converted into lengths according to a certain ratio; a regular tetrahedron is constructed with the lengths of the distribution capacity state value RZ of each region and the distribution network state value ZZ of each region as the side length of the square of the base of the regular tetrahedron and the height of the regular tetrahedron; the distribution network device state value QZ of each region in the on-site construction is converted into a length according to a certain ratio, and then a sphere is constructed with the length of the distribution network device state value QZ of each region as the radius, and the center of the sphere is overlapped with the upper vertex of the regular tetrahedron; then the volume that does not overlap with the sphere is identified and marked as the distribution network structure state value JZ of each region; Compare and analyze the distribution network structure state value JZ of each region with the set distribution network structure state value reference threshold value ZZ1, and compare and analyze the equipment process coefficient of each process part with the corresponding set equipment process reference threshold value ZZ1; When the distribution network structure state value is less than the corresponding set distribution network structure state value reference threshold value 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 value 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 value 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.

3. According to claim 1, a reactive voltage intelligent control system for a distribution network during off-peak hours is 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 distribution network for various equipment of users in each region, analyze and calculate the stable operation value SG of each equipment; compare and analyze the stable operation value of each equipment with the set stable operation value reference threshold interval tv1, and obtain the demand value YYZ of user equipment in each region; Obtain the types of users of the distribution network in each region, and analyze and obtain the average power supply demand YGX of users of the distribution network in each region; Convert the value corresponding to the operation demand value YYZ of user equipment in each region into a length according to a certain ratio; construct an equilateral triangle with the length of the operation demand value YYZ of user equipment in each region as the side length of the equilateral triangle; convert the average power demand value YGX of distribution network users in each region into a length according to a certain ratio, and then construct a circle with the length of the average power demand value YGX of distribution network users in each region as the diameter, and make the center of the circle coincide with the upper vertex of the equilateral triangle; then identify the volume that does not coincide with the circle, and mark it as the power efficiency value YGZ of distribution network users in each region; Set the gradient reference intervals M1, M2 and M3 of the distribution network user supply efficiency values ​​in each region, and substitute the distribution network user supply efficiency values ​​into the preset gradient reference intervals M1, M2 and M3 for comparative analysis, wherein 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.

4. According to claim 3, a reactive power voltage intelligent control system for a distribution network during off-peak hours is 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, and the specific analysis is as follows: According to the distribution stability area level determination 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, and element e1∈set N, element e2∈set N, element e3∈set N; According to the power supply user's transportation demand level determination signal, a set Z is established, the first-level power supply user's transportation demand is marked as element v1, the second-level power supply user's transportation demand is marked as element v2, and the third-level power supply user's transportation demand is marked as element v3, and element v1∈set Z, element v2∈set Z, element v3∈set Z; The sets N and Z are processed as a union. When N∪Z={e1, v1}, the area generates the corresponding set of areas affected by the primary distribution network. 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.

5. The intelligent control system for reactive power voltage during valley period of distribution network according to claim 1, characterized in that: The specific analysis method of the power consumption state value of the distribution network during the off-peak period is as follows: Current monitoring and analysis: obtain the current parameters of the distribution network during the off-peak period, and obtain the current state value DLZ through statistical analysis; Voltage monitoring and analysis: obtain the voltage parameters of the distribution network during the off-peak period, and obtain the voltage state value DYZ through statistical analysis; Reactive power monitoring and analysis: 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; The current state value DLZ, voltage state value DYZ and reactive power state value PZT are normalized 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.

6. The intelligent control system for reactive power voltage during valley 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: Obtain the number of complaints TS of each user during the off-peak period of the distribution network within a period of time and obtain the user satisfaction survey information on the off-peak period of the distribution network, and obtain the power adjustment user response coefficient through statistical analysis; The power consumption adjustment user reaction coefficient is compared and analyzed with the set comparison threshold WW1. When the power consumption adjustment user reaction coefficient is less than the set comparison threshold WW1, a power consumption adjustment negative feedback signal is generated. On the contrary, 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 a positive feedback signal for power adjustment is generated, a text message is sent to a display terminal for display; When the power consumption adjustment negative feedback signal is generated, the second text word is sent to the display terminal for display.

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