CN115882456A - Power control method and system based on large-scale power grid tide - Google Patents

Power control method and system based on large-scale power grid tide Download PDF

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CN115882456A
CN115882456A CN202310193341.4A CN202310193341A CN115882456A CN 115882456 A CN115882456 A CN 115882456A CN 202310193341 A CN202310193341 A CN 202310193341A CN 115882456 A CN115882456 A CN 115882456A
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electric quantity
value
module
electric
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CN115882456B (en
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张承宇
杨桦
孙成富
徐尔丰
周翀
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Zhejiang Zheneng Energy Service Co ltd
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Abstract

The invention provides a power control method and a system based on large-scale power grid flow, which specifically comprise the following steps: acquiring power information in a power flow process of a power grid, transmitting the power information to a data analysis module, and receiving the power information by the data analysis module for analysis to obtain power operation parameters; the power operation parameters are transmitted to a power calculation module, and the power calculation module receives the power operation parameters to calculate to obtain power operation change values; the power operation change value is transmitted to a data analysis module, the data analysis module analyzes based on the power operation change value, and the power operation change characteristics are analyzed to obtain an analysis result; the method and the device are based on the acquisition of the power information in the power operation process, the analysis and calculation of the power operation parameters are carried out according to the power information, the power operation change value is acquired, the normality or abnormality of the power operation is judged based on the power operation change value, and then the power is controlled and adjusted.

Description

Power control method and system based on large-scale power grid tide
Technical Field
The invention relates to the technical field of power control, in particular to a power control method and system based on large-scale power grid flow.
Background
A power flow is a steady distribution of voltage (nodes), power (active, reactive) (branches) in an electrical power system. The distribution of the power flow is a matter that the operation scheduling unit and the maintenance department must know.
The load flow calculation is to give initial values of some parameters, known values and assumed values in unknown values in a power grid, and finally obtain accurate values of load flow distribution through repeated iteration, and common methods include a Newton-Raphson method and a PQ decomposition method. The load flow calculation also provides an initial operation mode for stable calculation, short-circuit current calculation and the like, and is the most basic calculation of the power system. The load flow calculation of the complex power system is completed by means of a calculation tool. The advent of the communication computing platform in the 30 s of the 20 th century was an effective tool for power flow computing. With the development of digital computer applications and the progress of digital solutions and calculation programs for solving the power flow problem of the power system, the digital computer has replaced an alternating current calculation table and becomes a main tool for solving the power flow problem for 50 years.
In addition to using a digital computer to perform a large amount of offline load flow calculations during the planning and operation of the power system, online load flow calculations using real-time data have already begun to be put to practical use in the monitoring of the operation of the power system.
In the prior art, analysis and control cannot be performed based on acquired power information in a large-scale power grid flow process, and power consumption of each household user cannot be analyzed and distributed during power use to influence the power consumption effect, so that the invention provides a power control method and system based on large-scale power grid flow.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a power control method and a power control system based on large-scale power grid flow.
In order to achieve the purpose, the invention is realized by the following technical scheme: a power control method based on large-scale power grid flow comprises the following steps:
step S1: acquiring power information in a power flow process of a power grid, transmitting the power information to a data analysis module, and receiving the power information by the data analysis module for analysis to obtain power operation parameters;
step S2: the power operation parameters are transmitted to a power calculation module, and the power calculation module receives the power operation parameters to calculate to obtain power operation change values;
and step S3: the power operation change value is transmitted to a data analysis module, the data analysis module analyzes based on the power operation change value, and the power operation change characteristics are analyzed to obtain an analysis result;
and step S4: if the result is normal, the analysis result is transmitted to the power distribution module, the power distribution module performs power distribution based on power change, and if the result is abnormal, the power-on inspection module checks power operation abnormity.
Further, in the step S1, when analyzing the power information, the specific steps are as follows:
step S11: acquiring power utilization user information in a T time period, and acquiring the number of users based on the user information;
step S12: acquiring current values, voltage values and service time values of first to nth users;
step S13: acquiring the electricity consumption according to the current value, the voltage value and the use time value to acquire the electricity consumption of the first to nth users in the T-2T time period; acquiring the use electric quantity of first to nth users in a 2T-3T time period, thereby acquiring the use electric quantity of the first to nth users in a (n-1) T-nT time period;
step S14: and defining the n used electric quantities as electric power operation parameters, and transmitting the electric power operation parameters to the electric power calculation module.
Further, in step S2, the power calculating module receives a plurality of power consumption values in the power operation parameter, obtains a power consumption change value based on the power consumption values, and obtains and analyzes the power consumption change value, and the specific steps are as follows:
step S21: calculating the difference between every two using electric quantities, and defining the calculated difference as a using electric quantity change value;
step S22: taking the time nT as an abscissa and taking a vertical coordinate as a plane rectangular coordinate system by using the electric quantity change value;
step S23: expressing a plurality of electric quantity change values in a plane rectangular coordinate system in the form of coordinate points, smoothly connecting a plurality of formed coordinate points in a curve to form an electric quantity change curve chart,
step S24: and forming a plurality of electric quantity change curve graphs according to a plurality of users, observing the electric quantity change of the users in the nT time period according to the electric quantity change curve graphs, and transmitting the electric quantity change to the data analysis module.
Further, in step S3, when the data analysis module performs analysis, the specific steps are as follows:
step S31: the data analysis module receives the electric quantity change value in the electric quantity change curve graph and obtains the average value of the electric quantity used by each user;
step S32: if the electric quantity variation value in the electric quantity variation curve chart is larger than the electric quantity average value, judging that the electric quantity variation is abnormal, and judging that the result is abnormal;
step S33: and if the electric quantity variation value in the electric quantity variation curve chart is smaller than the electric quantity average value, judging that the electric quantity variation is normal, and judging that the result is normal.
A power control system based on large-scale power grid load flow comprises a power acquisition module, a data analysis module, a power calculation module, a power distribution module, a power inspection module and a server; the power acquisition module, the data analysis module, the power calculation module, the power distribution module and the power inspection module are respectively in data connection with the server;
the power acquisition module acquires power information in the power flow process of a power grid and transmits the power information to the data analysis module, and the data analysis module receives the power information and analyzes the power information to obtain power operation parameters;
the method comprises the steps that electric power operation parameters are transmitted to an electric power calculation module, and the electric power calculation module receives the electric power operation parameters to calculate to obtain an electric power operation change value;
the power operation change value is transmitted to a data analysis module, the data analysis module analyzes based on the power operation change value, and the power operation change characteristics are analyzed to obtain an analysis result;
and if the result is normal, transmitting the analysis result to a power distribution module, performing power distribution on the basis of power change by the power distribution module, and if the result is abnormal, checking the abnormal power operation by a power-on inspection module.
Further, the power information comprises a power current value, a voltage value and a use time value;
acquiring power utilization user information in a T time period, acquiring the number of users based on the user information, and setting the number of the users to be n;
acquiring current values, voltage values and service time values of first to nth users;
acquiring the electricity consumption according to the current value, the voltage value and the use time value to acquire the electricity consumption of the first to nth users in the T-2T time period; acquiring the use electric quantity of first to nth users in a 2T-3T time period, thereby acquiring the use electric quantity of the first to nth users in a (n-1) T-nT time period;
thereby each user acquires n used electric quantities;
and defining the n used electric quantities as electric power operation parameters, and transmitting the electric power operation parameters to the electric power calculation module.
Further, the power calculation module receives a plurality of power consumption values in the power operation parameters, obtains a power consumption change value based on the power consumption values, and obtains and analyzes the power consumption change value, which is specifically as follows:
calculating the difference between every two using electric quantities, and defining the calculated difference as a using electric quantity change value;
taking the time nT as an abscissa and taking a vertical coordinate as a rectangular plane coordinate system by using the electric quantity change value;
the method comprises the steps of representing a plurality of electric quantity change values in a plane rectangular coordinate system in a coordinate point mode, smoothly connecting a plurality of formed coordinate points in a curve mode to form an electric quantity change curve graph, forming a plurality of electric quantity change curve graphs according to a plurality of users, observing electric quantity change of the users in an nT time period according to the electric quantity change curve graphs, and transmitting the electric quantity change to a data analysis module.
Further, the data analysis module receives the electric quantity variation value in the electric quantity variation curve chart, obtains an average value of the electric quantity used by each user, judges that the electric quantity variation is abnormal if the electric quantity variation value in the electric quantity variation curve chart is larger than the average value of the electric quantity, and judges that the electric quantity variation is normal if the electric quantity variation value in the electric quantity variation curve chart is smaller than the average value of the electric quantity, and judges that the result is normal.
Furthermore, the power distribution module distributes power consumption of each user according to power consumption change, and the users use power according to the distributed power consumption;
the power inspection module inspects the household power, the server sends power utilization consultation information, the user receives the power utilization consultation information to determine, the user determines whether the power utilization is abnormal according to the power utilization amount, if the power utilization is abnormal, the server informs maintenance personnel to carry out power utilization maintenance, and if the power utilization is not abnormal, normal power supply is carried out.
The invention has the beneficial effects that:
1. the method comprises the steps of obtaining power information in the power operation process, analyzing power operation parameters according to the power information, calculating according to the power operation parameters obtained through analysis, obtaining a power operation change value, judging whether the power operation is normal or abnormal according to the power operation change value, and further controlling and adjusting the power.
2. According to the invention, power distribution is carried out on each household according to power consumption change, the user uses power according to the distributed power quantity, household power consumption is checked, power consumption consultation information is sent out through the server, the user receives the power consumption consultation information to determine whether the power consumption is abnormal or not, and the user determines whether the power consumption is abnormal or not according to the power consumption, and informs maintenance personnel to carry out power consumption maintenance or carry out normal power supply.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic block diagram of a large-scale grid power flow based power control system of the present invention;
fig. 2 is a method step diagram of a large-scale power grid flow-based power control method of the invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
In the present invention, please refer to fig. 1 and fig. 2, a power control system based on large-scale power grid load flow includes a power acquisition module, a data analysis module, a power calculation module, a power distribution module, a power inspection module, and a server; the power acquisition module, the data analysis module, the power calculation module, the power distribution module and the power inspection module are respectively in data connection with the server;
in this embodiment, the power acquisition module acquires power information in a power grid tide process, transmits the power information to the data analysis module, and the data analysis module receives the power information for analysis to obtain power operation parameters;
the power information comprises a power current value, a voltage value and a use time value;
acquiring power utilization user information in a T time period, acquiring the number of users based on the user information, and setting the number of the users to be n;
acquiring current values, voltage values and service time values of first to nth users;
acquiring the use electric quantity according to the current numerical value, the voltage numerical value and the use time numerical value, and acquiring the use electric quantity of first to nth users in a T-2T time period; acquiring the use electric quantity of first to nth users in a 2T-3T time period, thereby acquiring the use electric quantity of the first to nth users in a (n-1) T-nT time period;
thereby each user acquires n used electric quantities;
defining n used electric quantities as electric power operation parameters, and transmitting the electric power operation parameters to an electric power calculation module;
wherein T is a time unit, and can take a value of 1 day, one week or one month and the like when specific values are taken;
the power operation parameters are transmitted to a power calculation module, and the power calculation module receives the power operation parameters to calculate to obtain power operation change values;
the electric power calculation module receives a plurality of electric power consumption in the electric power operation parameter, obtains the electric power consumption change value based on the electric power consumption, obtains the analysis to the electric power consumption change value, specifically as follows:
calculating the difference between every two using electric quantities, and defining the calculated difference as a using electric quantity change value;
taking the time nT as an abscissa and taking a vertical coordinate as a plane rectangular coordinate system by using the electric quantity change value;
representing a plurality of electric quantity change values in a plane rectangular coordinate system in a form of coordinate points, smoothly connecting a plurality of formed coordinate points in a curve to form an electric quantity change curve chart, forming a plurality of electric quantity change curve charts according to a plurality of users, observing electric quantity change of the users in an nT time period according to the electric quantity change curve chart, and transmitting the electric quantity change to a data analysis module;
the power operation change value is transmitted to a data analysis module, the data analysis module analyzes based on the power operation change value, and the power operation change characteristics are analyzed to obtain an analysis result;
the data analysis module receives the electric quantity change value in the electric quantity change curve graph, obtains the average value of the electric quantity used by each user, judges that the electric quantity change is abnormal if the electric quantity change value in the electric quantity change curve graph is larger than the average value of the electric quantity, judges that the result is abnormal, judges that the electric quantity change is normal if the electric quantity change value in the electric quantity change curve graph is smaller than the average value of the electric quantity, and judges that the result is normal.
If the result is normal, the analysis result is transmitted to the power distribution module, the power distribution module performs power distribution based on power change, and if the result is abnormal, the power-on inspection module checks power operation abnormity.
The power distribution module distributes power consumption of each household according to power consumption change, and the users use the power according to the distributed power;
the power inspection module inspects the household power, the server sends power utilization consultation information, the user receives the power utilization consultation information to determine, the user determines whether the power utilization is abnormal according to the power utilization amount, if the power utilization is abnormal, the server informs maintenance personnel to carry out power utilization maintenance, and if the power utilization is not abnormal, normal power supply is carried out.
In the invention, a power control method based on large-scale power grid flow specifically comprises the following steps when power control is carried out:
step S1: acquiring power information in the power flow process of a power grid, transmitting the power information to a data analysis module, and receiving the power information by the data analysis module for analysis to obtain power operation parameters;
the power information comprises a power current value, a voltage value and a use time value;
when analyzing the power information, the specific steps are as follows:
step S11: acquiring power utilization user information in a T time period, and acquiring the number of users based on the user information;
step S12: acquiring current values, voltage values and service time values of first to nth users;
step S13: acquiring the use electric quantity according to the current numerical value, the voltage numerical value and the use time numerical value, and acquiring the use electric quantity of first to nth users in a T-2T time period; acquiring the use electric quantity of first to nth users in a 2T-3T time period, thereby acquiring the use electric quantity of the first to nth users in a (n-1) T-nT time period;
step S14: and defining the n used electric quantities as electric power operation parameters, and transmitting the electric power operation parameters to the electric power calculation module.
Step S2: the power operation parameters are transmitted to a power calculation module, and the power calculation module receives the power operation parameters to calculate to obtain power operation change values;
the electric power calculation module receives a plurality of electric power consumption in the electric power operation parameter, obtains an electric power consumption change value based on the electric power consumption, and obtains and analyzes the electric power consumption change value, and the specific steps are as follows:
step S21: calculating the difference between every two using electric quantities, and defining the calculated difference as a using electric quantity change value;
step S22: taking the time nT as an abscissa and taking a vertical coordinate as a rectangular plane coordinate system by using the electric quantity change value;
step S23: expressing a plurality of electric quantity change values in a plane rectangular coordinate system in the form of coordinate points, smoothly connecting a plurality of formed coordinate points in a curve to form an electric quantity change curve chart,
step S24: forming a plurality of electric quantity change curve graphs according to a plurality of users, observing the electric quantity change of the users in the nT time period according to the electric quantity change curve graphs, and transmitting the electric quantity change to a data analysis module;
and step S3: the power operation change value is transmitted to a data analysis module, the data analysis module analyzes based on the power operation change value, and the power operation change characteristics are analyzed to obtain an analysis result;
when the data analysis module carries out analysis, the specific steps are as follows:
step S31: the data analysis module receives the electric quantity change value in the electric quantity change curve graph and obtains the average value of the electric quantity used by each user;
step S32: if the electric quantity variation value in the electric quantity variation curve chart is larger than the electric quantity average value, judging that the electric quantity variation is abnormal, and judging that the result is abnormal;
step S33: and if the electric quantity variation value in the electric quantity variation curve chart is smaller than the electric quantity average value, judging that the electric quantity variation is normal, and judging that the result is normal.
And step S4: if the result is normal, the analysis result is transmitted to the power distribution module, the power distribution module performs power distribution based on power change, and if the result is abnormal, the power-on inspection module checks power operation abnormity.
The power distribution module distributes power to each user according to power consumption change, and the users use power according to the distributed power; the power inspection module inspects the household power, the server sends power utilization consultation information, the user receives the power utilization consultation information to determine, the user determines whether the power utilization is abnormal according to the power utilization amount, if the power utilization is abnormal, the server informs maintenance personnel to carry out power utilization maintenance, and if the power utilization is not abnormal, normal power supply is carried out.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula of the latest real situation obtained by collecting a large amount of data and performing software simulation, the preset parameters in the formula are set by the technicians in the field according to the actual situation, if the weight coefficient and the scale coefficient exist, the set size is a specific numerical value obtained by quantizing each parameter, the subsequent comparison is convenient, and as for the size of the weight coefficient and the scale coefficient, the proportional relation between the parameter and the quantized numerical value is not influenced.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied in the medium.
The above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (9)

1. A power control method based on large-scale power grid flow is characterized by comprising the following steps:
step S1: acquiring power information in the power flow process of a power grid, transmitting the power information to a data analysis module, and receiving the power information by the data analysis module for analysis to obtain power operation parameters;
step S2: the power operation parameters are transmitted to a power calculation module, and the power calculation module receives the power operation parameters to calculate to obtain power operation change values;
and step S3: the power operation change value is transmitted to a data analysis module, the data analysis module analyzes based on the power operation change value, and the power operation change characteristics are analyzed to obtain an analysis result;
and step S4: if the result is normal, the analysis result is transmitted to the power distribution module, the power distribution module performs power distribution based on power change, and if the result is abnormal, the power-on inspection module checks power operation abnormity.
2. The method for power control based on large-scale power grid flow according to claim 1, wherein in step S1, when analyzing the power information, the specific steps are as follows:
step S11: acquiring power utilization user information in a time period T, and acquiring the number of users based on the user information;
step S12: acquiring current values, voltage values and service time values of first to nth users;
step S13: acquiring the use electric quantity according to the current numerical value, the voltage numerical value and the use time numerical value, and acquiring the use electric quantity of first to nth users in a T-2T time period; acquiring the use electric quantity of first to nth users in a 2T-3T time period, thereby acquiring the use electric quantity of the first to nth users in a (n-1) T-nT time period;
step S14: and defining the n used electric quantities as electric power operation parameters, and transmitting the electric power operation parameters to the electric power calculation module.
3. The method according to claim 1, wherein in step S2, the power calculation module receives a plurality of power usage amounts in the power operation parameters, obtains a power usage amount variation value based on the power usage amounts, and performs acquisition and analysis on the power usage amount variation value, and the method includes the following specific steps:
step S21: calculating the difference between every two using electric quantities, and defining the calculated difference as a using electric quantity change value;
step S22: taking the time nT as an abscissa and taking a vertical coordinate as a rectangular plane coordinate system by using the electric quantity change value;
step S23: expressing a plurality of electric quantity change values in a plane rectangular coordinate system in the form of coordinate points, smoothly connecting a plurality of formed coordinate points in a curve to form an electric quantity change curve chart,
step S24: and forming a plurality of electric quantity change curve graphs according to a plurality of users, observing the electric quantity change of the users in the nT time period according to the electric quantity change curve graphs, and transmitting the electric quantity change to the data analysis module.
4. The method according to claim 1, wherein in the step S3, when the data analysis module performs analysis, the specific steps are as follows:
step S31: the data analysis module receives the electric quantity change value in the electric quantity change curve graph and obtains the average value of the electric quantity used by each user;
step S32: if the electric quantity variation value in the electric quantity variation curve chart is larger than the electric quantity average value, judging that the electric quantity variation is abnormal, and judging that the result is abnormal;
step S33: and if the electric quantity variation value in the electric quantity variation curve chart is smaller than the electric quantity average value, judging that the electric quantity variation is normal, and judging that the result is normal.
5. A power control system based on large-scale power grid load flow is characterized by comprising a power acquisition module, a data analysis module, a power calculation module, a power distribution module, a power inspection module and a server; the power acquisition module, the data analysis module, the power calculation module, the power distribution module and the power inspection module are respectively in data connection with the server;
the power acquisition module acquires power information in a power grid tide process and transmits the power information to the data analysis module, and the data analysis module receives the power information for analysis to obtain power operation parameters;
the method comprises the steps that electric power operation parameters are transmitted to an electric power calculation module, and the electric power calculation module receives the electric power operation parameters to calculate to obtain an electric power operation change value;
the power operation change value is transmitted to a data analysis module, the data analysis module analyzes based on the power operation change value, and the power operation change characteristics are analyzed to obtain an analysis result;
and if the result is normal, transmitting the analysis result to a power distribution module, performing power distribution on the basis of power change by the power distribution module, and if the result is abnormal, checking the abnormal power operation by a power-on inspection module.
6. The large-scale power grid flow-based power control system according to claim 5, wherein the power information comprises power current values, voltage values and time-of-use values;
acquiring power utilization user information in a T time period, acquiring the number of users based on the user information, and setting the number of the users to be n;
acquiring current values, voltage values and service time values of first to nth users;
acquiring the electricity consumption according to the current value, the voltage value and the use time value to acquire the electricity consumption of the first to nth users in the T-2T time period; acquiring the use electric quantity of first to nth users in a 2T-3T time period, thereby acquiring the use electric quantity of the first to nth users in a (n-1) T-nT time period;
and defining the n used electric quantities as electric power operation parameters, and transmitting the electric power operation parameters to the electric power calculation module.
7. The large-scale power grid flow-based power control system according to claim 6, wherein the power calculation module receives a plurality of power usage amounts in the power operation parameters, obtains a power usage amount change value based on the power usage amounts, and performs acquisition and analysis on the power usage amount change value, specifically as follows:
calculating the difference between every two using electric quantities, and defining the calculated difference as a using electric quantity change value;
taking the time nT as an abscissa and taking a vertical coordinate as a plane rectangular coordinate system by using the electric quantity change value;
the method comprises the steps of representing a plurality of electric quantity change values in a plane rectangular coordinate system in a coordinate point mode, smoothly connecting a plurality of formed coordinate points in a curve mode to form an electric quantity change curve graph, forming a plurality of electric quantity change curve graphs according to a plurality of users, observing electric quantity change of the users in an nT time period according to the electric quantity change curve graphs, and transmitting the electric quantity change to a data analysis module.
8. The system according to claim 7, wherein the data analysis module receives the power variation value in the power variation graph, obtains an average value of power consumption used by each user, determines that the power variation is abnormal if the power variation value in the power variation graph is greater than the average value of power, determines that the power variation is normal if the power variation value in the power variation graph is less than the average value of power, and determines that the power variation is normal if the power variation value in the power variation graph is less than the average value of power.
9. The large-scale power grid flow-based power control system according to claim 5, wherein the power distribution module distributes power to each user according to power consumption changes, and the users use power according to the distributed power;
the power inspection module inspects the household power, the server sends power utilization consultation information, the user receives the power utilization consultation information to determine, the user determines whether the power utilization is abnormal according to the power utilization amount, if the power utilization is abnormal, the server informs maintenance personnel to carry out power utilization maintenance, and if the power utilization is not abnormal, normal power supply is carried out.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116566057A (en) * 2023-05-25 2023-08-08 浙江浙能能源服务有限公司 User terminal fault detection system for virtual power plant
CN116846080A (en) * 2023-07-13 2023-10-03 国网山东省电力公司聊城供电公司 Outdoor ring main unit running state supervision system and method based on data analysis

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20040102746A (en) * 2003-05-29 2004-12-08 한국전기연구원 Application method of electric railroad voltage drop analysis algorithm considering unbalanced feeder in power feed network of alternating current electric railroad
CN105071385A (en) * 2015-08-10 2015-11-18 国家电网公司 Power grid operating data real-time analysis system
CN108879667A (en) * 2018-07-09 2018-11-23 国网上海市电力公司 A kind of power grid closed-loop control Power flow simulation method
CN109390937A (en) * 2018-11-09 2019-02-26 广东电网有限责任公司 A kind of electric parameter discrimination method and its system based on Operation of Electric Systems data
CN109787266A (en) * 2019-03-14 2019-05-21 中国电力科学研究院有限公司 Extra-high voltage direct-current complex fault on-line analysis decision-making technique and system
CN110071576A (en) * 2019-04-23 2019-07-30 国核电力规划设计研究院有限公司 Region distribution system and method
CN111049128A (en) * 2019-12-10 2020-04-21 浙江大学 Power system reliability improving method considering load prediction power utilization influence
CN111064187A (en) * 2019-12-10 2020-04-24 国网安徽省电力有限公司 Electric quantity limit distribution method for power generation and utilization
CN111864904A (en) * 2020-07-27 2020-10-30 张琴光 Power distribution monitoring terminal
KR20210089035A (en) * 2020-01-07 2021-07-15 한국전력공사 METHOD and SYSTEM for CALCULATING OPTIMUM POWER FLOW
CN114336634A (en) * 2021-12-31 2022-04-12 广东电网有限责任公司 Load flow calculation method, device and equipment of power grid system
CN114784804A (en) * 2022-05-25 2022-07-22 广东电网有限责任公司 Power system analysis method and device, electronic equipment and storage medium
CN115498640A (en) * 2022-11-14 2022-12-20 江苏海铂德能源科技有限公司 Virtual power plant-based micro-grid energy control method and system
CN115577234A (en) * 2022-11-21 2023-01-06 中国电力科学研究院有限公司 Node power supply emission factor calculation method and system based on power flow distribution
CN115603321A (en) * 2022-11-11 2023-01-13 浙江浙能能源服务有限公司(Cn) Power load prediction system and method based on power consumption data

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20040102746A (en) * 2003-05-29 2004-12-08 한국전기연구원 Application method of electric railroad voltage drop analysis algorithm considering unbalanced feeder in power feed network of alternating current electric railroad
CN105071385A (en) * 2015-08-10 2015-11-18 国家电网公司 Power grid operating data real-time analysis system
CN108879667A (en) * 2018-07-09 2018-11-23 国网上海市电力公司 A kind of power grid closed-loop control Power flow simulation method
CN109390937A (en) * 2018-11-09 2019-02-26 广东电网有限责任公司 A kind of electric parameter discrimination method and its system based on Operation of Electric Systems data
CN109787266A (en) * 2019-03-14 2019-05-21 中国电力科学研究院有限公司 Extra-high voltage direct-current complex fault on-line analysis decision-making technique and system
CN110071576A (en) * 2019-04-23 2019-07-30 国核电力规划设计研究院有限公司 Region distribution system and method
CN111049128A (en) * 2019-12-10 2020-04-21 浙江大学 Power system reliability improving method considering load prediction power utilization influence
CN111064187A (en) * 2019-12-10 2020-04-24 国网安徽省电力有限公司 Electric quantity limit distribution method for power generation and utilization
KR20210089035A (en) * 2020-01-07 2021-07-15 한국전력공사 METHOD and SYSTEM for CALCULATING OPTIMUM POWER FLOW
CN111864904A (en) * 2020-07-27 2020-10-30 张琴光 Power distribution monitoring terminal
CN114336634A (en) * 2021-12-31 2022-04-12 广东电网有限责任公司 Load flow calculation method, device and equipment of power grid system
CN114784804A (en) * 2022-05-25 2022-07-22 广东电网有限责任公司 Power system analysis method and device, electronic equipment and storage medium
CN115603321A (en) * 2022-11-11 2023-01-13 浙江浙能能源服务有限公司(Cn) Power load prediction system and method based on power consumption data
CN115498640A (en) * 2022-11-14 2022-12-20 江苏海铂德能源科技有限公司 Virtual power plant-based micro-grid energy control method and system
CN115577234A (en) * 2022-11-21 2023-01-06 中国电力科学研究院有限公司 Node power supply emission factor calculation method and system based on power flow distribution

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
宋阳;: "基于Matlab的Gauss-Seidel迭代法电力***潮流计算研究", 机电信息 *
杨勇;: "探究电力调度***中拓扑分析及潮流计算方法", 数字通信世界 *
秦孜;秦晓佳;王梦伟;: "电力***潮流计算算法研究", 电子世界 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116566057A (en) * 2023-05-25 2023-08-08 浙江浙能能源服务有限公司 User terminal fault detection system for virtual power plant
CN116566057B (en) * 2023-05-25 2024-04-26 浙江浙能能源服务有限公司 User terminal fault detection system for virtual power plant
CN116846080A (en) * 2023-07-13 2023-10-03 国网山东省电力公司聊城供电公司 Outdoor ring main unit running state supervision system and method based on data analysis
CN116846080B (en) * 2023-07-13 2024-03-26 国网山东省电力公司聊城供电公司 Outdoor ring main unit running state supervision system and method based on data analysis

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