CN116011795B - Distributed power supply group regulation group control management system based on data analysis - Google Patents

Distributed power supply group regulation group control management system based on data analysis Download PDF

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CN116011795B
CN116011795B CN202310300319.5A CN202310300319A CN116011795B CN 116011795 B CN116011795 B CN 116011795B CN 202310300319 A CN202310300319 A CN 202310300319A CN 116011795 B CN116011795 B CN 116011795B
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power supply
value
power
preset
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CN116011795A (en
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董乐
张静
康亦宁
宋峰
李昭良
熊荡
申凯玮
张学清
高义新
杜耀恒
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Yantai Power Supply Co of State Grid Shandong Electric Power Co Ltd
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Yantai Power Supply Co of State Grid Shandong Electric Power Co Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention belongs to the technical field of power supply management and control, and in particular relates to a distributed power supply group regulation and group control management system based on data analysis, which comprises a server, a data storage module, a distributed power supply acquisition and evaluation module, a power supply stability detection module and a power supply overhaul matching module, wherein the server is in communication connection with the data storage module, the distributed power supply acquisition and evaluation module, the power supply stability detection module and the power supply overhaul matching module; the distributed power supply acquisition and evaluation module is used for realizing acquisition and pre-operation performance state division of the distributed power supply, so that corresponding maintenance personnel can conveniently and timely carry out maintenance on the damaged power supply, and stable and smooth operation of the subsequent distributed power supply is ensured.

Description

Distributed power supply group regulation group control management system based on data analysis
Technical Field
The invention relates to the technical field of power supply management and control, in particular to a distributed power supply group regulation and group control management system based on data analysis.
Background
The distributed power supply device refers to small-sized modular independent power supplies compatible with the environment, and the power supplies are owned by power departments, power users or third parties and are used for meeting specific requirements of power systems and users, such as peak shaving, power supply for remote users or commercial areas and residential areas, power transmission and transformation investment saving, power supply reliability improvement and the like; at present, when the distributed power supplies in the management and control area are managed, detection and division of all the distributed power supplies in the management and control area before operation are generally difficult to realize, comprehensive and accurate analysis on the distributed power supplies in operation is difficult to realize, related distributed power supplies cannot be effectively maintained and overhauled in time, and smooth and stable work of all the distributed power supplies in the management and control area is difficult to ensure;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a distributed power supply group-regulation group-control management system based on data analysis, which solves the problems that detection and division of all distributed power supplies in a management and control area before operation are difficult to realize, comprehensive and accurate analysis on the distributed power supplies in operation is difficult to realize, related distributed power supplies cannot be effectively maintained and overhauled in time, and smooth and stable work of all distributed power supplies in the management and control area is difficult to ensure at present.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a distributed power supply group regulation and group control management system based on data analysis comprises a server, a data storage module, a distributed power supply acquisition and evaluation module, a power supply stability detection module and a power supply overhaul matching module;
the distributed power supply acquisition and evaluation module is used for acquiring a distributed power supply regulation and control management area and marking the distributed power supply as a branch pipe network area, acquiring a distributed power supply in the branch pipe network area and marking the corresponding distributed power supply as an analysis power supply i, i=1, 2, …, n, n represents the number of the distributed power supplies in the branch pipe network area and n is a positive integer greater than 1; generating a lossless power supply signal or a lossy power supply signal by analysis before the operation of the analysis power supply i, and transmitting the lossless power supply signal or the lossy power supply signal and the corresponding analysis power supply i to a server;
the power stability detection module is used for carrying out power stability analysis in the operation process of the analysis power supply i, generating a stability qualified signal or a stability unqualified signal, and sending the stability qualified signal or the stability unqualified signal and the corresponding analysis power supply i to the server; when the server receives a lossy power supply signal or a stability disqualification signal, generating an overhaul matching analysis signal, and transmitting the overhaul matching analysis signal and a corresponding analysis power supply i to a power supply overhaul matching module;
the power supply overhaul matching module is used for carrying out overhaul match analysis after receiving the overhaul match analysis signal, determining selected personnel and sending the selected personnel to the server; after receiving the selected personnel, the server generates an overhaul instruction, and sends the overhaul instruction and the corresponding analysis power supply i to the intelligent terminal of the selected personnel; after receiving the overhaul instruction, the intelligent terminal of the selected person should timely start to the position corresponding to the analysis power supply i and maintain and overhaul.
Further, the analysis process of the distributed power supply acquisition and evaluation module comprises the following steps:
the method comprises the steps of obtaining a frequency of failure analysis value and a power supply analysis value of an analysis power supply i through analysis, calling a preset frequency of failure analysis threshold value and a preset power supply analysis threshold value through a data storage module, and comparing the frequency of failure analysis value and the power supply analysis value of the analysis power supply i with the preset frequency of failure analysis threshold value and the preset power supply analysis threshold value respectively;
if the frequency of the power i is smaller than the preset frequency of the power analysis threshold and the power analysis value is smaller than the preset power analysis threshold, generating a lossless power signal, and if the frequency of the power i is greater than or equal to the preset frequency of the power analysis threshold or the power analysis value is greater than or equal to the preset power analysis threshold, generating a lossy power signal.
Further, the method for obtaining the frequency analysis value and the power analysis value is as follows:
acquiring a fault frequency value and a fault increase value of the analysis power supply i in the current management period, wherein the fault frequency value represents a data value of the number of faults of the analysis power supply i in the current management period, and the fault increase value represents an increase value of the number of faults of the analysis power supply i in the current management period compared with the number of faults of the adjacent previous management period; performing numerical calculation on the fault frequency value and the fault growth value to obtain a fault frequency analysis value;
acquiring a current date and a service life date of an analysis power supply i, and calculating a difference value between the service life date of the analysis power supply i and the current date to acquire a power supply expiration value of the analysis power supply i; acquiring the production date of the analysis power supply i, and marking the actual power generation time length from the production date of the analysis power supply i to the current date as a power supply actual operation value; and carrying out numerical calculation on the power supply expiration value and the power supply actual operation value to obtain a power supply analysis value.
Further, the power stability analysis process of the power stability detection module is specifically as follows:
acquiring the starting time and the ending time of the detection period, and calculating the difference between the ending time and the starting time of the detection period to acquire the detection duration; acquiring the generated energy of the analysis power supply i in the detection period, calculating the ratio of the generated energy of the analysis power supply to the detection duration to acquire the generation speed of the corresponding analysis power supply i, and marking the generation speed as an electric energy generation speed value; the method comprises the steps of analyzing a voltage flow reaction value of a power supply i in a detection period through analysis, and calculating the ratio of the voltage flow reaction value to a detection duration to obtain a voltage flow stable value of the corresponding analysis power supply i;
the method comprises the steps that a data storage module is used for calling a preset electric energy production speed threshold value and a preset voltage flow stability threshold value, and the electric energy production speed value and the voltage flow stability value of a detection period analysis power supply i are respectively compared with the preset electric energy production speed threshold value and the preset voltage flow stability threshold value; and generating a stability qualified signal or a stability disqualified signal through comparative analysis.
Further, the analysis and acquisition method of the pressure flow reaction value is as follows:
dividing the detection period equal time interval into a plurality of sub-periods, marking the sub-periods as u, u=1, 2, …, m, m representing the number of sub-periods and m being a positive integer greater than 1; acquiring a current fluctuation diagram and a voltage fluctuation diagram of the sub-period u analysis power supply i, calling a preset current range and a preset voltage range through a data storage module, judging that the current is normal if the current of the sub-period u analysis power supply i is always in the preset current range, otherwise, acquiring the duration that the current of the sub-period u analysis power supply i is not in the preset current range and is marked as the overcurrent duration, and acquiring the maximum overcurrent amplitude of the current of the sub-period u analysis power supply i compared with the preset current range and is marked as the overcurrent amplitude value;
if the voltage of the sub-period u analysis power supply i is always in the preset voltage range, judging that the voltage is normal, otherwise, acquiring the duration that the voltage of the sub-period u analysis power supply i is not in the preset voltage range and marked as the overpressure duration, and acquiring the maximum exceeding amplitude of the voltage of the sub-period u analysis power supply i compared with the preset voltage range and marked as the overpressure amplitude value;
if the current and the voltage of the analysis power supply i in the subperiod u are normal, marking the corresponding subperiod u of the corresponding analysis power supply i as a voltage-current stabilizing subperiod; otherwise, performing numerical calculation on the overflow duration, the overflow amplitude value, the overpressure duration and the overpressure amplitude value to obtain a pressure flow analysis value; the method comprises the steps of calling a preset pressure flow analysis threshold value through a data storage module, comparing the pressure flow analysis value with the preset pressure flow analysis threshold value, marking a corresponding subperiod u of a corresponding analysis power supply i as a pressure flow ultrasonic subperiod if the pressure flow analysis value is greater than or equal to the preset pressure flow analysis threshold value, and marking a corresponding subperiod u of the corresponding analysis power supply i as a pressure flow low wave subperiod if the pressure flow analysis value is less than the preset pressure flow analysis threshold value;
the method comprises the steps of respectively obtaining the number of the voltage flow stabilization subintervals, the number of the voltage flow superwave subintervals and the number of the voltage flow low wave subintervals of an analysis power supply i through statistical analysis, carrying out numerical calculation on the number of the voltage flow stabilization subintervals, the number of the voltage flow superwave subintervals and the number of the voltage flow low wave subintervals of the analysis power supply i, and obtaining a voltage flow response value of the analysis power supply i corresponding to the detection time interval through numerical calculation.
Further, the specific analysis process of the comparative analysis is as follows:
if the electric energy production rate value of the detection period analysis power supply i is larger than or equal to a preset electric energy production rate threshold value, a production rate judgment signal CS1 is generated, and if the electric energy production rate value of the detection period analysis power supply i is smaller than the preset electric energy production rate threshold value, a production rate judgment signal CS2 is generated; generating a voltage flow judgment signal YL1 if the voltage flow stability value of the analysis power supply i in the detection period is larger than or equal to a preset voltage flow stability threshold value, and generating a voltage flow judgment signal YL2 if the voltage flow stability value of the analysis power supply i in the detection period is smaller than the preset voltage flow stability threshold value; and carrying out intersection analysis on the production speed judging signal and the voltage flow judging signal of the detection period analysis power supply i, if CS 1-YL 1 is generated, generating a stability qualified signal, and otherwise generating a stability unqualified signal.
Further, the overhaul matching analysis process of the power overhaul matching module is specifically as follows:
acquiring on-Shift service personnel of a branch network area and marking the on-Shift service personnel as r, wherein r=1, 2, …, k and k represent the number of the on-Shift service personnel and k is a positive integer greater than 1; acquiring the time length of job and the time length of job leaving of the on-Shift maintainer r, and acquiring a matching intersection value of the on-Shift maintainer r and a corresponding analysis power supply i, wherein the matching intersection value represents a data value of the number of times that the on-Shift maintainer r participates in maintenance and overhaul of the corresponding analysis power supply i;
acquiring the position of an on-duty maintainer r and the position of an analysis power supply i, and marking the distance between the on-duty maintainer r and the analysis power supply i as a maintenance path value; performing numerical calculation on the job duration, the matching intersection value and the overhaul path value of the on-duty overhaul personnel r to obtain an overhaul matching value, calling a preset overhaul matching threshold value through a data storage module, and comparing the overhaul matching value with the preset overhaul matching threshold value;
if the overhauling matching value of the on-Shift overhauling personnel r is more than or equal to a preset overhauling matching threshold value, marking the corresponding on-Shift overhauling personnel r as a person to be selected; if the overhauling matching value of the on-Shift overhauling personnel r is smaller than a preset overhauling matching threshold, marking the corresponding on-Shift overhauling personnel r as non-optimal personnel; and sorting the overhaul matching values of the to-be-selected personnel from large to small, and marking the to-be-selected personnel positioned at the first position as the selected personnel.
Further, the server is in communication connection with an adaptive power generation analysis module, and the specific operation process of the adaptive power generation analysis module comprises the following steps:
setting a power generation analysis period, acquiring theoretical power generation upper limit values of all analysis power supplies i in a branch pipe network area in the power generation analysis period, acquiring actual power generation of all analysis power supplies i in the branch pipe network area in the power generation analysis period, and calculating the difference value between the theoretical power generation upper limit values and the actual power generation to acquire theoretical power generation difference; the method comprises the steps of obtaining actual power consumption of an application power end of all analysis power supplies i in a power generation analysis period, and calculating the ratio of the actual power consumption to the actual power generation amount to obtain the power generation self-utilization rate;
the method comprises the steps that a preset power generation difference threshold value and a preset self-utilization rate threshold value are called through a data storage module, and theoretical power generation difference and power generation self-utilization rate are respectively compared with the preset power generation difference threshold value and the preset self-utilization rate threshold value; if the theoretical power generation difference is greater than or equal to a preset power generation difference threshold value and the power generation self-utilization rate is greater than or equal to a preset self-utilization rate threshold value, judging that the power generation efficiency of the corresponding analysis power supply i should be increased later; and the rest conditions are that the power generation efficiency of the analysis power supply i is not required to be adjusted later.
Further, if the theoretical power generation difference is greater than or equal to a preset power generation difference threshold value and the power generation self-utilization rate is smaller than a preset self-utilization rate threshold value, the power generation efficiency of the corresponding analysis power supply i is considered to be increased when the power utilization end nearby has power utilization requirements; if the theoretical power generation difference is smaller than a preset power generation difference threshold value and the power generation self-utilization rate is larger than or equal to a preset self-utilization rate threshold value, judging that the power generation efficiency of the corresponding analysis power source i cannot be increased continuously, and subsequently, increasing the number of power sources in the pipe division network area or calling the distributed power source with redundant power nearby to supply power should be considered; if the theoretical power generation difference is smaller than the preset power generation difference threshold value and the power generation self-utilization rate is smaller than the preset self-utilization rate threshold value, the power generation efficiency of the corresponding analysis power supply i cannot be increased continuously, and the distribution of the surplus power to the nearby power utilization ends with power utilization requirements should be considered later.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the distributed power supply acquisition and evaluation module is used for realizing acquisition and pre-operation performance state division of the distributed power supply, so that corresponding maintenance personnel can conveniently and timely carry out maintenance on the damaged power supply, and stable and smooth operation of the subsequent distributed power supply is ensured;
2. in the invention, the power stability detection module is used for carrying out power stability analysis in the operation process of the analysis power source i, so that the monitoring analysis of the operation process of the analysis power source i is realized, the analysis process is more comprehensive, the analysis result is more accurate, the monitoring personnel can conveniently know the operation condition of the analysis power source i, the stable and smooth operation of the analysis power source i is further ensured, and the operation safety is improved;
3. according to the invention, when the server receives a lossy power supply signal or a stability disqualification signal, an overhaul matching analysis signal and a corresponding analysis power supply i are sent to a power overhaul matching module, the power overhaul matching module performs overhaul matching analysis and determines a selected person, and the corresponding on-duty overhaul person is selected through comprehensive analysis, so that the maintenance and overhaul effect of the corresponding analysis power supply i is improved, and timely and rapid overhaul is realized;
4. in the invention, the adaptive power generation analysis module is used for setting the power generation analysis period, judging whether the power generation efficiency of the corresponding analysis power supply i should be increased or not, generating the subsequent planning information, and sending the related judging information to the monitoring terminal through the server, thereby being beneficial to realizing the effective management of the subsequent power generation efficiency of the related distributed power supply by the supervisory personnel.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is an overall system block diagram of the first embodiment;
FIG. 2 is a system block diagram of a server and an intelligent terminal according to the present invention;
fig. 3 is a system block diagram of a second embodiment.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1: 1-2, the distributed power supply group regulation and group control management system based on data analysis comprises a server, wherein the server is in communication connection with a data storage module, a distributed power supply acquisition and evaluation module, a power supply stability detection module and a power supply overhaul matching module;
the distributed power supply acquisition and evaluation module acquires a distributed power supply regulation and control management area and marks the distributed power supply regulation and control management area as a branch pipe network area, acquires distributed power supplies in the branch pipe network area and marks corresponding distributed power supplies as analysis power supplies i, i=1, 2, …, n, wherein n represents the number of the distributed power supplies in the branch pipe network area and n is a positive integer greater than 1; the analysis process of the distributed power supply acquisition and evaluation module is as follows:
step S1, the event frequency analysis value and the power supply analysis value of the analysis power supply i are obtained through analysis, and the analysis and obtaining method of the event frequency analysis value and the power supply analysis value is as follows:
step S11, obtaining a fault frequency value and a fault increase value of the analysis power supply i in the current management period and marking the fault frequency value and the fault increase value as GPi and GZi respectively, wherein the fault frequency value GPi represents a data value of the number of faults of the analysis power supply i in the current management period, and the fault increase value GZi represents an increase value of the number of faults of the analysis power supply i in the current management period compared with the number of faults of the adjacent previous management period;
step S12, through the formulaSubstituting the fault frequency value GPi and the fault growth value GZi to perform numerical calculation, and obtaining a fault frequency analysis value PFi corresponding to the analysis power source i after the numerical calculation; wherein, eg1 and eg2 are preset proportionality coefficients, the values of eg1 and eg2 are both larger than zero, and eg1 is smaller than eg2; the larger the event frequency analysis value PFi of the analysis power supply i is, the greater the probability that the corresponding analysis power supply i needs to be maintained and overhauled is, and the greater the probability that faults occur in the subsequent operation process is;
step S13, acquiring a current date and a service life date of the analysis power supply i, calculating a difference value between the service life date of the analysis power supply i and the current date to acquire a power supply expiration value of the analysis power supply i, and marking the power supply expiration value as DQI; acquiring the production date of the analysis power supply i, and marking the actual power generation time length from the production date of the analysis power supply i to the current date as a power supply actual operation value DYI;
step S14, through the formulaSubstituting the power expiration value DQi and the power actual operation value DYI to perform numerical calculation, and obtaining a power analysis value DFi corresponding to the analysis power i after the numerical calculation; wherein qp1 and qp are preset proportional coefficients, values of qp1 and qp2 are both greater than zero, and qp1 is smaller than qp2; the larger the power analysis value DFi of the analysis power supply i is, the larger the obstacle that the corresponding analysis power supply i can normally generate power is, and the larger the possibility that the corresponding analysis power supply i needs to be scrapped is;
s2, calling a preset frequency analysis threshold value and a preset power analysis threshold value through a data storage module, and respectively comparing the frequency analysis value and the power analysis value of the analysis power supply i with the preset frequency analysis threshold value and the preset power analysis threshold value;
step S3, if the frequency of failure analysis value of the analysis power supply i is smaller than a preset frequency of failure analysis threshold value and the power supply analysis value is smaller than a preset power supply analysis threshold value, generating a lossless power supply signal; if the frequency of the power source i is greater than or equal to a preset frequency of the power source i or the power source i is greater than or equal to a preset power source i, generating a power source signal.
The distributed power supply acquisition and evaluation module generates a lossless power supply signal or a lossy power supply signal through analysis before the operation of the analysis power supply i, and transmits the lossless power supply signal or the lossy power supply signal and the corresponding analysis power supply i to the server, so that the acquisition of the distributed power supply is realized, the performance state of the distributed power supply can be divided and marked, the maintenance personnel can conveniently and timely maintain the lossy power supply in a corresponding manner, and the stable and smooth operation of the subsequent distributed power supply is ensured.
The power stability detection module performs power stability analysis in the operation process of the analysis power source i, and the power stability analysis process of the power stability detection module is specifically as follows:
step T1, acquiring the starting time and the ending time of a detection period, and calculating the difference between the ending time and the starting time of the detection period to acquire the detection duration;
step T2, acquiring the generated energy of the analysis power supply i in the detection period, calculating the ratio of the generated energy of the analysis power supply to the detection duration, acquiring the generation speed of the corresponding analysis power supply i, and marking the generation speed as an electric energy generation speed value DSi, namely the electric energy generation speed value DSi=the generated energy/the detection duration; the smaller the value of the electric energy production speed value DSi is, the worse the operation effect of the corresponding analysis power supply i in the detection period is;
step T3, analyzing the voltage flow reaction value YLi of the power supply i by analyzing the detected period, wherein the method for analyzing and obtaining the voltage flow reaction value is as follows:
step T31, dividing the detection period equal time interval into a plurality of sub-periods, marking the sub-periods as u, u=1, 2, …, m, m representing the number of sub-periods and m being a positive integer greater than 1;
step T32, a current fluctuation diagram and a voltage fluctuation diagram of the power supply i are analyzed in the acquired subinterval u, and a preset current range and a preset voltage range are called through a data storage module; if the current of the analysis power supply i in the subperiod u is always in the preset current range, judging that the current is normal; otherwise, acquiring a time length when the current of the sub-period u analysis power supply i is not in a preset current range and marking the time length as an overflow time length CLiu, and acquiring a maximum overflow amplitude of the current of the sub-period u analysis power supply i compared with the preset current range and marking the current as an overflow amplitude value LFiu, wherein the overflow amplitude value LFiu represents maximum deviation data of the current of the corresponding analysis power supply i in the sub-period u;
if the voltage of the analysis power supply i in the subperiod u is always in the preset voltage range, judging that the voltage is normal; otherwise, acquiring a time length when the voltage of the sub-period u analysis power supply i is not in a preset voltage range and marking the time length as an overpressure time length CYiu, and acquiring a maximum exceeding amplitude of the voltage of the sub-period u analysis power supply i compared with the preset voltage range and marking the voltage of the sub-period u analysis power supply i as an overpressure amplitude value YFiu, wherein the overpressure amplitude value YFiu represents maximum deviation data of the voltage of the corresponding analysis power supply i in the sub-period u;
step T33, if the current and the voltage of the analysis power supply i in the subperiod u are normal, marking the corresponding subperiod u of the corresponding analysis power supply i as a voltage-current stabilizing subperiod; otherwise, through the formulaPerforming numerical calculation on the over-current duration CLiu, the over-current amplitude value LFiu, the over-voltage duration CYiu and the over-voltage amplitude value YFiu, and obtaining a voltage-current analysis value FXiu corresponding to the analysis power supply i after the numerical calculation;
wherein a1, a2, a3 and a4 are preset weight coefficients, the values of a1, a2, a3 and a4 are all larger than zero, and a1 is larger than a3 and a2 is larger than a4; it should be noted that, the value of the voltage flow analysis value FXiu is in a proportional relationship with the overflow duration CLiu, the overflow amplitude value LFiu, the over-voltage duration CYiu and the over-voltage amplitude value YFiu, the larger the value of the overflow duration CLiu, the larger the value of the overflow amplitude value LFiu, the larger the value of the over-voltage duration CYiu and the larger the value of the over-voltage amplitude value YFiu, the larger the value of the voltage flow analysis value FXiu of the corresponding analysis power supply i indicates that the operation stability of the analysis power supply i of the corresponding subperiod u is worse;
step T34, a preset pressure flow analysis threshold value is called through a data storage module, a pressure flow analysis value FXIU is compared with the preset pressure flow analysis threshold value, if the pressure flow analysis value FXIU is larger than or equal to the preset pressure flow analysis threshold value, a corresponding subperiod u of a corresponding analysis power supply i is marked as a pressure flow ultrasonic subperiod, and if the pressure flow analysis value FXIU is smaller than the preset pressure flow analysis threshold value, a corresponding subperiod u of the corresponding analysis power supply i is marked as a pressure flow low wave subperiod;
step T35, respectively obtaining the number of the voltage flow stabilizing subintervals, the number of the voltage flow superwave subintervals and the number of the voltage flow low wave subintervals of the power supply i corresponding to the detection period through statistical analysis, marking the numbers as DWi, CBi and DBi, and using a formulaThe number of the steady sub-period DWi, the number of the ultrasonic sub-period CBi and the number of the low sub-period DBi are countedCalculating, namely obtaining a voltage flow response value YLi of the analysis power supply i corresponding to the detection period through numerical calculation;
wherein b1, b2 and b3 are preset proportionality coefficients, the values of b1, b2 and b3 are all larger than zero, and b1 is larger than b2 and larger than b3; the larger the value of the pressure flow reaction value YLi of the analysis power supply i is, the more stable the whole operation process of the corresponding analysis power supply i in the detection period is;
step T4, calculating the ratio of the pressure flow reaction value YLi to the detection duration to obtain a pressure flow stability value WDi corresponding to the analysis power source i, i.e. a pressure flow stability value WDi =a pressure flow reaction value YLi/the detection duration;
step T5, a preset electric energy production speed threshold value and a preset voltage flow stability threshold value are called through a data storage module, and an electric energy production speed value DSi and a voltage flow stability value WDi of the detection period analysis power supply i are respectively compared with the preset electric energy production speed threshold value and the preset voltage flow stability threshold value;
if the electric energy production rate value DSi of the detection period analysis power supply i is larger than or equal to a preset electric energy production rate threshold value, a production rate judging signal CS1 is generated, and if the electric energy production rate value DSi of the detection period analysis power supply i is smaller than the preset electric energy production rate threshold value, a production rate judging signal CS2 is generated; generating a voltage flow judgment signal YL1 if the voltage flow stability value WDi of the detection period analysis power supply i is greater than or equal to a preset voltage flow stability threshold value, and generating a voltage flow judgment signal YL2 if the voltage flow stability value WDi of the detection period analysis power supply i is less than the preset voltage flow stability threshold value;
step T6, carrying out intersection analysis on a production speed judging signal and a voltage flow judging signal of the detection period analysis power supply i, and if CS 1-YL 1 is generated, generating a stability qualified signal; the other cases generate a stability failure signal, i.e., CS 1. U.YL 2, CS 2. U.YL 1 or CS 2. U.YL 2.
The power stability detection module is used for carrying out power stability analysis in the operation process of the analysis power source i, generating a stability qualified signal or a stability unqualified signal through the power stability analysis, and sending the stability qualified signal or the stability unqualified signal and the corresponding analysis power source i to the server, so that the monitoring analysis of the operation process of the analysis power source i is realized, the analysis process is more comprehensive, the analysis result is more accurate, the supervisory personnel can conveniently know the operation condition of the analysis power source i, and the supervisory personnel can timely maintain and overhaul when the operation condition is abnormal, thereby further ensuring the stable and smooth operation of the analysis power source i and improving the operation safety.
When the server receives a lossy power supply signal or a stability disqualification signal, generating an overhaul matching analysis signal, and transmitting the overhaul matching analysis signal and a corresponding analysis power supply i to a power supply overhaul matching module; the power supply overhaul matching module receives the overhaul matching analysis signal and then carries out overhaul matching analysis, and the overhaul matching analysis process is specifically as follows:
acquiring on-Shift service personnel of a branch network area and marking the on-Shift service personnel as r, wherein r=1, 2, …, k and k represent the number of the on-Shift service personnel and k is a positive integer greater than 1; acquiring the time length of the on-duty maintainer r and the time length of the on-duty maintainer r, marking the time length of the on-duty maintainer r as RZr and RWr, wherein the time length of the on-duty maintainer r RZr represents the data value of the time length corresponding to the time length of the on-duty maintainer serving as the maintenance post of the pipe network division area, and the time length of the on-duty maintainer RWr represents the data value of the total time length of the on-duty maintainer during the time length of the on-duty maintainer serving as the maintenance post of the pipe network division area; acquiring a matching intersection value PJr of the on-Shift maintainer r and the corresponding analysis power supply i, wherein the matching intersection value PJr represents a data value of the number of maintenance and overhaul times of the on-Shift maintainer r participating in the corresponding analysis power supply i;
acquiring the position of the on-duty maintainer r and the position of the analysis power supply i, and marking the distance between the on-duty maintainer r and the analysis power supply i as a maintenance path value LJr; by person matching formulaPerforming numerical calculation on the job time RZr, the out-of-duty time RWr, the matching intersection value PJr and the overhaul path value LJr of the on-duty overhaul personnel r;
obtaining an overhaul matching value XPr of an on-Shift maintainer after numerical calculation, wherein c1, c2, c3 and c4 are preset proportionality coefficients, the values of c1, c2, c3 and c4 are all larger than zero, and c1 is more than c2 and less than c3 and less than c4; it should be noted that, the magnitude of the overhaul matching value XPr is in a direct proportion relation with the time period RZr of optional job, the RWr of the time period of the task and the matching intersection value PJr, and in an inverse proportion relation with the overhaul path value LJr, the larger the magnitude of the overhaul matching value XPr is, the higher the matching degree between the corresponding on-Shift maintainer r and the corresponding analysis power source i is, and the more suitable the corresponding on-Shift maintainer r is to carry out maintenance and overhaul of the corresponding analysis power source i before;
a data storage module is used for calling a preset overhaul matching threshold value, and the overhaul matching value XPr is compared with the preset overhaul matching threshold value; if the overhauling matching value XPr of the on-Shift overhauling personnel r is more than or equal to a preset overhauling matching threshold, marking the corresponding on-Shift overhauling personnel r as a person to be selected; if the overhauling matching value XPr of the on-Shift overhauling personnel r is smaller than a preset overhauling matching threshold, marking the corresponding on-Shift overhauling personnel r as non-optimal personnel; and sorting the overhaul matching values XPr of the to-be-selected personnel from large to small, and marking the to-be-selected personnel positioned at the first position as the selected personnel.
The power supply overhaul matching module is used for carrying out overhaul matching analysis and determining selected personnel, the selected personnel is sent to the server, the server receives the selected personnel and then generates an overhaul instruction, and the overhaul instruction and a corresponding analysis power supply i are sent to an intelligent terminal of the selected personnel; after receiving the overhaul instruction, the intelligent terminal of the selected person correspondingly starts to the position corresponding to the analysis power supply i in time and carries out maintenance and overhaul; the corresponding on-duty maintainer is selected through comprehensive analysis, so that the maintenance and overhaul effect of the corresponding analysis power supply i is improved, and meanwhile, timely and rapid overhaul is realized.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
Example 2: as shown in fig. 3, the difference between this embodiment and embodiment 1 is that the server is communicatively connected to an adaptive power generation analysis module, and the specific operation procedure of the adaptive power generation analysis module includes:
setting a power generation analysis period, acquiring theoretical power generation upper limit values of all analysis power supplies i in a branch pipe network area in the power generation analysis period, acquiring actual power generation of all analysis power supplies i in the branch pipe network area in the power generation analysis period, and calculating the difference value between the theoretical power generation upper limit values and the actual power generation to acquire theoretical power generation difference; the method comprises the steps of obtaining actual power consumption of an application power end of all analysis power supplies i in a power generation analysis period, and calculating the ratio of the actual power consumption to the actual power generation amount to obtain the power generation self-utilization rate;
the method comprises the steps that a preset power generation difference threshold value and a preset self-utilization rate threshold value are called through a data storage module, and theoretical power generation difference and power generation self-utilization rate are respectively compared with the preset power generation difference threshold value and the preset self-utilization rate threshold value; if the theoretical power generation difference is greater than or equal to a preset power generation difference threshold value and the power generation self-utilization rate is greater than or equal to a preset self-utilization rate threshold value, judging that the power generation efficiency of the corresponding analysis power supply i should be increased later; and the rest conditions are that the power generation efficiency of the analysis power supply i is not required to be adjusted later. The adaptive power generation analysis module sends the judging information to the monitoring terminal through the server, and the monitoring terminal displays the judging information so as to be checked by corresponding supervisory personnel.
Example 3: the difference between the embodiment and the embodiment 1 and the embodiment 2 is that if the theoretical power generation difference is greater than or equal to the preset power generation difference threshold and the power generation self-utilization rate is smaller than the preset self-utilization rate threshold, the power generation efficiency of the corresponding analysis power source i is considered to be increased when the nearby power utilization end has power utilization requirements; if the theoretical power generation difference is smaller than a preset power generation difference threshold value and the power generation self-utilization rate is larger than or equal to a preset self-utilization rate threshold value, judging that the power generation efficiency of the corresponding analysis power source i cannot be increased continuously, and subsequently, increasing the number of power sources in the pipe division network area or calling the distributed power source with redundant power nearby to supply power should be considered; if the theoretical power generation difference is smaller than a preset power generation difference threshold value and the power generation self-utilization rate is smaller than a preset self-utilization rate threshold value, the power generation efficiency of the corresponding analysis power supply i cannot be increased continuously, and the distribution of redundant power to nearby power utilization ends with power utilization requirements should be considered later, the adaptive power generation analysis module sends judgment information to the monitoring terminal through the server, and therefore effective management of the follow-up power generation efficiency of the related distributed power supply by the supervisory personnel is facilitated.
The working process and principle of the invention are as follows:
when the distributed power supply monitoring system is used, the distributed power supply acquisition and evaluation module is used for realizing acquisition and pre-operation performance state division of the distributed power supply, so that corresponding maintenance personnel can conveniently and timely maintain the damaged power supply, and stable and smooth operation of the subsequent distributed power supply is ensured; the power stability detection module is used for carrying out power stability analysis in the operation process of the analysis power source i, so that the monitoring analysis of the operation process of the analysis power source i is realized, the analysis process is more comprehensive, the analysis result is more accurate, a supervisor can know the operation condition of the analysis power source i conveniently, the stable and smooth operation of the analysis power source i is further ensured, and the operation safety is improved; when the server receives a lossy power supply signal or a stability disqualification signal, the overhaul matching analysis signal and the corresponding analysis power supply i are sent to the power overhaul matching module, the power overhaul matching module performs overhaul matching analysis and determines selected personnel, and the corresponding on-duty overhaul personnel are selected through comprehensive analysis, so that the maintenance and overhaul effect of the corresponding analysis power supply i is improved, and timely and rapid overhaul is realized.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.

Claims (1)

1. The distributed power supply group regulation and group control management system based on data analysis is characterized by comprising a server, a data storage module, a distributed power supply acquisition and evaluation module, a power supply stability detection module and a power supply overhaul matching module;
the distributed power supply acquisition and evaluation module is used for acquiring a distributed power supply regulation and control management area and marking the distributed power supply as a branch pipe network area, acquiring a distributed power supply in the branch pipe network area and marking the corresponding distributed power supply as an analysis power supply i, i=1, 2, …, n, n represents the number of the distributed power supplies in the branch pipe network area and n is a positive integer greater than 1; generating a lossless power supply signal or a lossy power supply signal by analysis before the operation of the analysis power supply i, and transmitting the lossless power supply signal or the lossy power supply signal and the corresponding analysis power supply i to a server;
the power stability detection module is used for carrying out power stability analysis in the operation process of the analysis power supply i, generating a stability qualified signal or a stability unqualified signal, and sending the stability qualified signal or the stability unqualified signal and the corresponding analysis power supply i to the server; when the server receives a lossy power supply signal or a stability disqualification signal, generating an overhaul matching analysis signal, and transmitting the overhaul matching analysis signal and a corresponding analysis power supply i to a power supply overhaul matching module;
the power supply overhaul matching module is used for carrying out overhaul match analysis after receiving the overhaul match analysis signal, determining selected personnel and sending the selected personnel to the server; after receiving the selected personnel, the server generates an overhaul instruction, and sends the overhaul instruction and the corresponding analysis power supply i to the intelligent terminal of the selected personnel; after receiving the overhaul instruction, the intelligent terminal of the selected person correspondingly starts to the position corresponding to the analysis power supply i in time and carries out maintenance and overhaul;
the analysis process of the distributed power supply acquisition and evaluation module comprises the following steps:
the method comprises the steps of obtaining a frequency of failure analysis value and a power supply analysis value of an analysis power supply i through analysis, calling a preset frequency of failure analysis threshold value and a preset power supply analysis threshold value through a data storage module, and comparing the frequency of failure analysis value and the power supply analysis value of the analysis power supply i with the preset frequency of failure analysis threshold value and the preset power supply analysis threshold value respectively;
if the frequency of the power i is smaller than a preset frequency of the power analysis threshold and the power analysis value is smaller than the preset power analysis threshold, generating a lossless power signal, and if the frequency of the power i is larger than or equal to the preset frequency of the power analysis threshold or the power analysis value is larger than or equal to the preset power analysis threshold, generating a lossy power signal;
the method for obtaining the frequency analysis value and the power analysis value is as follows:
acquiring the current management periodAnalyzing a fault frequency value and a fault increment value of the power supply i, wherein the fault frequency value represents a data value of the number of faults of the power supply i in the current management period, and the fault increment value represents an increment value of the number of faults of the power supply i in the current management period compared with the number of faults of the adjacent previous management period; by the formulaSubstituting the fault frequency value GPi and the fault growth value GZi to perform numerical calculation, and obtaining a fault frequency analysis value PFi corresponding to the analysis power source i after the numerical calculation; wherein, eg1 and eg2 are preset proportionality coefficients, the values of eg1 and eg2 are both larger than zero, and eg1 is smaller than eg2;
acquiring a current date and a service life date of an analysis power supply i, and calculating a difference value between the service life date of the analysis power supply i and the current date to acquire a power supply expiration value of the analysis power supply i; acquiring the production date of the analysis power supply i, and marking the actual power generation time length from the production date of the analysis power supply i to the current date as a power supply actual operation value; by the formulaSubstituting the power expiration value DQi and the power actual operation value DYI to perform numerical calculation, and obtaining a power analysis value DFi corresponding to the analysis power i after the numerical calculation; wherein qp1 and qp are preset proportional coefficients, values of qp1 and qp2 are both greater than zero, and qp1 is smaller than qp2;
the power stability analysis process of the power stability detection module is specifically as follows:
acquiring the starting time and the ending time of the detection period, and calculating the difference between the ending time and the starting time of the detection period to acquire the detection duration; acquiring the generated energy of the analysis power supply i in the detection period, calculating the ratio of the generated energy of the analysis power supply to the detection duration to acquire the generation speed of the corresponding analysis power supply i, and marking the generation speed as an electric energy generation speed value; the method comprises the steps of analyzing a voltage flow reaction value of a power supply i in a detection period through analysis, and calculating the ratio of the voltage flow reaction value to a detection duration to obtain a voltage flow stable value of the corresponding analysis power supply i;
the method comprises the steps that a data storage module is used for calling a preset electric energy production speed threshold value and a preset voltage flow stability threshold value, and the electric energy production speed value and the voltage flow stability value of a detection period analysis power supply i are respectively compared with the preset electric energy production speed threshold value and the preset voltage flow stability threshold value; generating a stability qualified signal or a stability unqualified signal through comparative analysis;
the analytical acquisition method of the pressure flow reaction value is as follows:
dividing the detection period equal time interval into a plurality of sub-periods, marking the sub-periods as u, u=1, 2, …, m, m representing the number of sub-periods and m being a positive integer greater than 1; acquiring a current fluctuation diagram and a voltage fluctuation diagram of the sub-period u analysis power supply i, calling a preset current range and a preset voltage range through a data storage module, judging that the current is normal if the current of the sub-period u analysis power supply i is always in the preset current range, otherwise, acquiring the duration that the current of the sub-period u analysis power supply i is not in the preset current range and is marked as the overcurrent duration, and acquiring the maximum overcurrent amplitude of the current of the sub-period u analysis power supply i compared with the preset current range and is marked as the overcurrent amplitude value;
if the voltage of the sub-period u analysis power supply i is always in the preset voltage range, judging that the voltage is normal, otherwise, acquiring the duration that the voltage of the sub-period u analysis power supply i is not in the preset voltage range and marked as the overpressure duration, and acquiring the maximum exceeding amplitude of the voltage of the sub-period u analysis power supply i compared with the preset voltage range and marked as the overpressure amplitude value;
if the current and the voltage of the analysis power supply i in the subperiod u are normal, marking the corresponding subperiod u of the corresponding analysis power supply i as a voltage-current stabilizing subperiod; otherwise, through the formulaPerforming numerical calculation on the over-current duration CLiu, the over-current amplitude value LFiu, the over-voltage duration CYiu and the over-voltage amplitude value YFiu, and obtaining a voltage-current analysis value FXiu corresponding to the analysis power supply i after the numerical calculation; wherein a1, a2, a3 and a4 are preset weight coefficients, the values of a1, a2, a3 and a4 are all larger than zero, and a1 is larger than a3 and a2 is larger than a4; the preset pressure flow analysis threshold value is called through the data storage module,comparing the pressure flow analysis value with a preset pressure flow analysis threshold, marking the corresponding subperiod u of the corresponding analysis power supply i as a pressure flow ultrasonic subperiod if the pressure flow analysis value is greater than or equal to the preset pressure flow analysis threshold, and marking the corresponding subperiod u of the corresponding analysis power supply i as a pressure flow low wave subperiod if the pressure flow analysis value is less than the preset pressure flow analysis threshold;
the detection period is respectively obtained through statistical analysis to correspondingly analyze the number of stable sub-periods, the number of superwave sub-periods and the number of low wave sub-periods of the voltage flow of the power supply i voltage flow, and the detection period is calculated according to the formulaCarrying out numerical calculation on the number DWi of the voltage flow stability subperiod, the number CBi of the voltage flow ultrasonic subperiod and the number DBi of the voltage flow low-wave subperiod of the analysis power supply i, and obtaining a voltage flow response value YLi of the analysis power supply i corresponding to the detection period through the numerical calculation; wherein b1, b2 and b3 are preset proportionality coefficients, the values of b1, b2 and b3 are all larger than zero, and b1 is larger than b2 and larger than b3;
the specific analysis procedure of the comparative analysis is as follows:
if the electric energy production rate value of the detection period analysis power supply i is larger than or equal to a preset electric energy production rate threshold value, a production rate judgment signal CS1 is generated, and if the electric energy production rate value of the detection period analysis power supply i is smaller than the preset electric energy production rate threshold value, a production rate judgment signal CS2 is generated; generating a voltage flow judgment signal YL1 if the voltage flow stability value of the analysis power supply i in the detection period is larger than or equal to a preset voltage flow stability threshold value, and generating a voltage flow judgment signal YL2 if the voltage flow stability value of the analysis power supply i in the detection period is smaller than the preset voltage flow stability threshold value; intersection analysis is carried out on the production speed judging signal and the voltage flow judging signal of the detection period analysis power supply i, if CS1 n YL1 is generated, a stability qualified signal is generated, and otherwise, a stability unqualified signal is generated;
the overhaul and match analysis process of the power overhaul and match module is specifically as follows:
acquiring on-Shift service personnel of a branch network area and marking the on-Shift service personnel as r, wherein r=1, 2, …, k and k represent the number of the on-Shift service personnel and k is a positive integer greater than 1; acquiring the time length of job and the time length of job leaving of the on-Shift maintainer r, and acquiring a matching intersection value of the on-Shift maintainer r and a corresponding analysis power supply i, wherein the matching intersection value represents a data value of the number of times that the on-Shift maintainer r participates in maintenance and overhaul of the corresponding analysis power supply i;
acquiring the position of an on-duty maintainer r and the position of an analysis power supply i, and marking the distance between the on-duty maintainer r and the analysis power supply i as a maintenance path value; by person matching formulaPerforming numerical calculation on the job time RZr, the out-of-duty time RWr, the matching intersection value PJr and the overhaul path value LJr of the on-duty overhaul personnel r; obtaining an overhaul matching value XPr of an on-Shift maintainer after numerical calculation, wherein c1, c2, c3 and c4 are preset proportionality coefficients, the values of c1, c2, c3 and c4 are all larger than zero, and c1 is more than c2 and less than c3 and less than c4; the method comprises the steps of calling a preset overhaul matching threshold value through a data storage module, and comparing the overhaul matching value with the preset overhaul matching threshold value;
if the overhauling matching value of the on-Shift overhauling personnel r is more than or equal to a preset overhauling matching threshold value, marking the corresponding on-Shift overhauling personnel r as a person to be selected; if the overhauling matching value of the on-Shift overhauling personnel r is smaller than a preset overhauling matching threshold, marking the corresponding on-Shift overhauling personnel r as non-optimal personnel; sorting the overhaul matching values of the to-be-selected personnel from large to small, and marking the to-be-selected personnel positioned at the first position as selected personnel;
the server is in communication connection with the adaptive power generation analysis module, and the specific operation process of the adaptive power generation analysis module comprises the following steps:
setting a power generation analysis period, acquiring theoretical power generation upper limit values of all analysis power supplies i in a branch pipe network area in the power generation analysis period, acquiring actual power generation of all analysis power supplies i in the branch pipe network area in the power generation analysis period, and calculating the difference value between the theoretical power generation upper limit values and the actual power generation to acquire theoretical power generation difference; the method comprises the steps of obtaining actual power consumption of an application power end of all analysis power supplies i in a power generation analysis period, and calculating the ratio of the actual power consumption to the actual power generation amount to obtain the power generation self-utilization rate;
the method comprises the steps that a preset power generation difference threshold value and a preset self-utilization rate threshold value are called through a data storage module, and theoretical power generation difference and power generation self-utilization rate are respectively compared with the preset power generation difference threshold value and the preset self-utilization rate threshold value; if the theoretical power generation difference is greater than or equal to a preset power generation difference threshold value and the power generation self-utilization rate is greater than or equal to a preset self-utilization rate threshold value, judging that the power generation efficiency of the corresponding analysis power supply i should be increased later; the power generation efficiency of the power supply i is not required to be adjusted and analyzed in the rest cases;
if the theoretical power generation difference is larger than or equal to a preset power generation difference threshold value and the power generation self-utilization rate is smaller than a preset self-utilization rate threshold value, the power generation efficiency of the corresponding analysis power supply i is considered to be increased when the power utilization end nearby has power utilization requirements; if the theoretical power generation difference is smaller than a preset power generation difference threshold value and the power generation self-utilization rate is larger than or equal to a preset self-utilization rate threshold value, judging that the power generation efficiency of the corresponding analysis power source i cannot be increased continuously, and subsequently, increasing the number of power sources in the pipe division network area or calling the distributed power source with redundant power nearby to supply power should be considered; if the theoretical power generation difference is smaller than the preset power generation difference threshold value and the power generation self-utilization rate is smaller than the preset self-utilization rate threshold value, the power generation efficiency of the corresponding analysis power supply i cannot be increased continuously, and the distribution of the surplus power to the nearby power utilization ends with power utilization requirements should be considered later.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113110202A (en) * 2021-04-27 2021-07-13 杭州欣驰能源科技有限公司 Household power control system based on Internet of things
WO2021244000A1 (en) * 2020-06-03 2021-12-09 国网上海市电力公司 Virtual aggregation system and method for regional energy source complex
WO2022041264A1 (en) * 2020-08-31 2022-03-03 苏州大成电子科技有限公司 Method for supporting operation of rail transit power system with big data

Family Cites Families (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009099135A (en) * 2007-09-28 2009-05-07 Fujitsu Ltd Support management method, support management system and information processing device
CN106228300A (en) * 2016-07-20 2016-12-14 中国电力科学研究院 A kind of distributed power source operation management system
CN109842371A (en) * 2019-03-19 2019-06-04 黎和平 A kind of method and apparatus positioning photovoltaic power generation exception
CN111856276A (en) * 2020-07-27 2020-10-30 淮南万泰电子股份有限公司 Motor running state real-time monitoring system
CN112984386A (en) * 2021-02-04 2021-06-18 许昌学院 Intelligent pipe network monitoring system based on big data
CN115375059A (en) * 2021-05-21 2022-11-22 南京六瑞电力科技有限公司 Power grid risk operation and maintenance automatic early warning method and system
CN114336753A (en) * 2022-01-05 2022-04-12 北京京运通科技股份有限公司 Photovoltaic power generation and wind power generation integrated management system
CN114397596A (en) * 2022-01-18 2022-04-26 郴州加宁科技有限公司 Fault detection system of distributed direct-current power supply cabinet
CN114665611B (en) * 2022-05-25 2022-07-29 融科能源系统(广东)有限公司 Power distribution cabinet operation intelligent monitoring management system based on data analysis
CN114819415B (en) * 2022-06-27 2022-09-20 中国标准化研究院 Power equipment fault prediction system based on data analysis
CN115425737B (en) * 2022-08-22 2023-10-24 黄河科技学院 Intelligent control system of high-voltage fixed-frequency voltage-regulating stabilized power supply
CN115576239A (en) * 2022-09-30 2023-01-06 黄河科技学院 Alternating current-direct current power supply intelligent control system based on artificial intelligence
CN115483698B (en) * 2022-10-12 2023-05-23 国网山东省电力公司临沂供电公司 AC/DC hybrid power distribution network operation stability evaluation system and method
CN115714794A (en) * 2022-11-10 2023-02-24 上海九物科技有限公司 Internet of things intelligent acquisition device based on information acquisition
CN115718468A (en) * 2022-11-30 2023-02-28 安徽省茂鑫家居工艺品有限公司 Cosmetic mirror production line supervision feedback system based on data analysis
CN115738622B (en) * 2023-01-09 2023-05-12 常州嘉瑞特环保能源科技有限公司 Tail gas emission detection system of desulfurization equipment

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021244000A1 (en) * 2020-06-03 2021-12-09 国网上海市电力公司 Virtual aggregation system and method for regional energy source complex
WO2022041264A1 (en) * 2020-08-31 2022-03-03 苏州大成电子科技有限公司 Method for supporting operation of rail transit power system with big data
CN113110202A (en) * 2021-04-27 2021-07-13 杭州欣驰能源科技有限公司 Household power control system based on Internet of things

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