CN115882456B - 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 PDFInfo
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Abstract
The invention provides a power control method and a system based on large-scale power grid tide, which concretely comprise the following steps: acquiring power information in the power grid tide process, 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; transmitting the power operation parameters to a power calculation module, and receiving the power operation parameters by the power calculation module to calculate and obtain a power operation change value; the power operation change value is transmitted to a data analysis module, the data analysis module analyzes the power operation change characteristic based on the power operation change value, and an analysis result is obtained; according to the invention, based on the acquisition of the power information in the power operation process, the analysis and calculation are carried out on the power operation parameters according to the power information, the power operation change value is acquired, the normal or abnormal power operation is judged based on the power operation change value, and the power is controlled and regulated.
Description
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 tide.
Background
The power flow is the steady-state distribution of voltage (nodes), power (active, reactive) (branches) in the power system. The distribution of the power flow is a matter that must be known to the operating dispatch units and maintenance departments.
The load flow calculation refers to the initial values assumed in some parameters, known values and unknown values in a given power grid, and the accurate value of the load flow distribution is finally obtained through repeated iteration, and the common methods include a Newton-Laportson method and a PQ decomposition method. The power 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 calculation of the power flow of a complex power system has to be done by means of calculation tools. The exchange computing platform appearing in the 30 th century is an effective tool for tide computation. Since the 50 s, with the development of digital computer applications and the progress of digital solutions and calculation programs for solving the tidal current problem of the power system, digital computers have replaced the ac calculator, and become the main tools for solving the tidal current problem.
In addition to using digital computers for a large number of offline power flow calculations during power system planning and operation, online power flow calculations employing real-time data have begun to go to a practical stage in the monitoring of power system operation.
In the prior art, in the process of carrying out large-scale power grid power flow, analysis and control cannot be carried out based on the acquired power information, and when power is used, power consumption of each household user cannot be analyzed and distributed, and the power consumption effect is affected.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a power control method and a system based on large-scale power grid trend.
In order to achieve the above object, the present invention is realized by the following technical scheme: a method of power control based on large-scale grid power flow, the method comprising the steps of:
step S1: acquiring power information in the power grid tide process, 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: transmitting the power operation parameters to a power calculation module, and receiving the power operation parameters by the power calculation module to calculate and obtain a power operation change value;
step S3: the power operation change value is transmitted to a data analysis module, the data analysis module analyzes the power operation change characteristic based on the power operation change value, and an analysis result is obtained;
step S4: and if the result is normal, transmitting the analysis result to the power distribution module, distributing power by the power distribution module based on power change, and if the result is abnormal, checking the power operation abnormality by the power inspection module.
Further, in the step S1, when analyzing the power information, specific steps are as follows:
step S11: acquiring electricity utilization user information of a time period T, and acquiring the number of users based on the user information;
step S12: acquiring current values, voltage values and using time values of the first to nth users;
step S13: acquiring the electricity consumption according to the current value, the voltage value and the using time value, and acquiring the electricity consumption of the first to nth users in the time period of T-2T; acquiring the electric quantity used by the first to nth users in the time period of 2T-3T, thereby acquiring the electric quantity used by the first to nth users in the time period of (n-1) T-nT;
step S14: the n used electric quantities are defined as electric power operation parameters, and the electric power operation parameters are transmitted to the electric power calculation module.
Further, in the step S2, the power calculation module receives a plurality of power usage in the power operation parameters, obtains a power usage change value based on the power usage, and performs an obtaining analysis on the power usage change value, and specifically includes the following steps:
step S21: the difference value between every two electric quantity is obtained, and the obtained difference value is defined as an electric quantity change value;
step S22: taking time nT as an abscissa and taking an ordinate as a plane rectangular coordinate system using an electric quantity change value;
step S23: the electric quantity change values are expressed in a plane rectangular coordinate system in the form of coordinate points, the coordinate points formed in a plurality are connected smoothly in a curve to form an electric quantity change curve graph,
step S24: and forming a plurality of electric quantity change 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 graphs, and transmitting the electric quantity change to a data analysis module.
Further, in the step S3, the data analysis module performs the following specific steps:
step S31: the data analysis module receives the electric quantity change value in the electric quantity change curve graph and acquires the average value of the electric quantity used by each user;
step S32: if the electric quantity change value in the electric quantity change curve graph is larger than the electric quantity average value, judging that the electric quantity change is abnormal, and judging that the result is abnormal;
step S33: if the electric quantity change value in the electric quantity change curve graph is smaller than the electric quantity average value, judging that the electric quantity change is normal, and judging that the result is normal.
A power control system based on large-scale power grid trend 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 connected with the server in a data mode;
the power acquisition module acquires power information in the power flow process of the power grid, the power information is transmitted to the data analysis module, and the data analysis module receives the power information 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 and obtain a power operation change value;
the power operation change value is transmitted to a data analysis module, the data analysis module analyzes the power operation change characteristic based on the power operation change value, and an analysis result is obtained;
and if the result is normal, transmitting the analysis result to the power distribution module, wherein the power distribution module distributes power based on power change, and if the result is abnormal, the power inspection module inspects the power operation abnormality.
Further, the power information includes a power current value, a voltage value, and a use time value;
acquiring power utilization user information of a time period T, acquiring the number of users based on the user information, and setting the number of users as n;
acquiring current values, voltage values and using time values of the first to nth users;
acquiring the electricity consumption according to the current value, the voltage value and the using time value, and acquiring the electricity consumption of the first to nth users in the time period of T-2T; acquiring the electric quantity used by the first to nth users in the time period of 2T-3T, thereby acquiring the electric quantity used by the first to nth users in the time period of (n-1) T-nT;
each user obtains n electricity consumption amounts;
the n used electric quantities are defined as electric power operation parameters, and the electric power operation parameters are transmitted to the electric power calculation module.
Further, the power calculation module receives a plurality of used electric quantities in the power operation parameters, obtains a used electric quantity change value based on the used electric quantities, and obtains and analyzes the used electric quantity change value, which is specifically as follows:
the difference value between every two electric quantity is obtained, and the obtained difference value is defined as an electric quantity change value;
taking time nT as an abscissa and taking an ordinate as a plane rectangular coordinate system using an electric quantity change value;
and expressing the multiple electric quantity change values in a plane rectangular coordinate system in the form of coordinate points, smoothly connecting the multiple formed coordinate points in a curve to form an electric quantity change curve graph, forming multiple electric quantity change curve graphs according to multiple 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.
Further, 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 electric quantity average value, judges that the result is abnormal if the electric quantity change value in the electric quantity change curve graph is smaller than the electric quantity average value, judges that the electric quantity change is normal, and judges that the result is normal.
Further, the power distribution module distributes power to each household according to the power consumption change, and the user performs power consumption according to the distributed power quantity;
the power inspection module is used for inspecting household power consumption, sending power consumption consultation information through the server, enabling a user to receive the power consumption consultation information to determine, enabling the user to determine whether the power consumption is abnormal according to the power consumption, informing maintenance personnel of power consumption maintenance if the power consumption is abnormal, and enabling normal power supply if the power consumption is not abnormal.
The invention has the beneficial effects that:
1. the invention obtains the power information in the power operation process, analyzes the power operation parameters according to the power information, calculates the power operation parameters according to the analysis to obtain the power operation change value, judges the normal or abnormal power operation based on the power operation change value, and further controls and adjusts the power.
2. According to the invention, each household is distributed with electricity according to electricity consumption change, a user performs electricity consumption according to the distributed electricity quantity, the household electricity consumption is checked, electricity consumption consultation information is sent out through the server, the user receives the electricity consumption consultation information to determine, the user determines whether the electricity consumption is abnormal according to the electricity consumption quantity, and a maintenance person is informed of electricity consumption maintenance or normal power supply.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
FIG. 1 is a schematic block diagram of a power control system based on large-scale grid power flow in accordance with the present invention;
fig. 2 is a method step diagram of a power control method based on a large-scale power grid tide according to the present invention.
Detailed Description
The invention is further described in connection with the following detailed description, in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
In the present invention, referring to fig. 1 and 2, a power control system based on a large-scale power grid trend 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 connected with the server in a data mode;
in the embodiment, the power acquisition module acquires power information in the power flow process of the power grid, the power information is transmitted to the data analysis module, and the data analysis module receives the power information for analysis to obtain power operation parameters;
the power information includes a power current value, a voltage value, and a time of use value;
acquiring power utilization user information of a time period T, acquiring the number of users based on the user information, and setting the number of users as n;
acquiring current values, voltage values and using time values of the first to nth users;
acquiring the electricity consumption according to the current value, the voltage value and the using time value, and acquiring the electricity consumption of the first to nth users in the time period of T-2T; acquiring the electric quantity used by the first to nth users in the time period of 2T-3T, thereby acquiring the electric quantity used by the first to nth users in the time period of (n-1) T-nT;
each user obtains n electricity consumption amounts;
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 when specific value is taken, the value can be taken for 1 day, one week or one month, etc.;
transmitting the power operation parameters to a power calculation module, and receiving the power operation parameters by the power calculation module to calculate and obtain a power operation change value;
the power calculation module receives a plurality of electric consumption in the power operation parameters, obtains an electric consumption change value based on the electric consumption, and obtains and analyzes the electric consumption change value, and specifically comprises the following steps:
the difference value between every two electric quantity is obtained, and the obtained difference value is defined as an electric quantity change value;
taking time nT as an abscissa and taking an ordinate as a plane rectangular coordinate system using an 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 the form of coordinate points, smoothly connecting the plurality of formed coordinate points in a curve 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 changes of the users in an nT time period according to the electric quantity change curve graphs, and transmitting the electric quantity changes to a data analysis module;
the power operation change value is transmitted to a data analysis module, the data analysis module analyzes the power operation change characteristic based on the power operation change value, and an analysis result is obtained;
the data analysis module receives the electric quantity change value in the electric quantity change curve graph, acquires 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 electric quantity average value, judges that the result is abnormal, and 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 electric quantity average value, and judges that the result is normal.
And if the result is normal, transmitting the analysis result to the power distribution module, distributing power by the power distribution module based on power change, and if the result is abnormal, checking the power operation abnormality by the power inspection module.
The power distribution module distributes power to each household according to the power consumption change, and the user uses power according to the distributed power quantity;
the power inspection module is used for inspecting household power consumption, sending power consumption consultation information through the server, enabling a user to receive the power consumption consultation information to determine, enabling the user to determine whether the power consumption is abnormal according to the power consumption, informing maintenance personnel of power consumption maintenance if the power consumption is abnormal, and enabling normal power supply if the power consumption is not abnormal.
In the invention, the power control method based on the large-scale power grid tide specifically comprises the following steps of:
step S1: acquiring power information in the power grid tide process, 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 includes a power current value, a voltage value, and a time of use value;
when analyzing the power information, the specific steps are as follows:
step S11: acquiring electricity utilization user information of a time period T, and acquiring the number of users based on the user information;
step S12: acquiring current values, voltage values and using time values of the first to nth users;
step S13: acquiring the electricity consumption according to the current value, the voltage value and the using time value, and acquiring the electricity consumption of the first to nth users in the time period of T-2T; acquiring the electric quantity used by the first to nth users in the time period of 2T-3T, thereby acquiring the electric quantity used by the first to nth users in the time period of (n-1) T-nT;
step S14: the n used electric quantities are defined as electric power operation parameters, and the electric power operation parameters are transmitted to the electric power calculation module.
Step S2: transmitting the power operation parameters to a power calculation module, and receiving the power operation parameters by the power calculation module to calculate and obtain a power operation change value;
the power calculation module receives a plurality of electric consumption in the power operation parameters, acquires an electric consumption change value based on the electric consumption, and acquires and analyzes the electric consumption change value, and specifically comprises the following steps:
step S21: the difference value between every two electric quantity is obtained, and the obtained difference value is defined as an electric quantity change value;
step S22: taking time nT as an abscissa and taking an ordinate as a plane rectangular coordinate system using an electric quantity change value;
step S23: the electric quantity change values are expressed in a plane rectangular coordinate system in the form of coordinate points, the coordinate points formed in a plurality are connected smoothly in a curve to form an electric quantity change curve graph,
step S24: forming a plurality of electric quantity change 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 graphs, and transmitting the electric quantity change to a data analysis module;
step S3: the power operation change value is transmitted to a data analysis module, the data analysis module analyzes the power operation change characteristic based on the power operation change value, and an analysis result is obtained;
the data analysis module performs the following specific steps when analyzing:
step S31: the data analysis module receives the electric quantity change value in the electric quantity change curve graph and acquires the average value of the electric quantity used by each user;
step S32: if the electric quantity change value in the electric quantity change curve graph is larger than the electric quantity average value, judging that the electric quantity change is abnormal, and judging that the result is abnormal;
step S33: if the electric quantity change value in the electric quantity change curve graph is smaller than the electric quantity average value, judging that the electric quantity change is normal, and judging that the result is normal.
Step S4: and if the result is normal, transmitting the analysis result to the power distribution module, distributing power by the power distribution module based on power change, and if the result is abnormal, checking the power operation abnormality by the power inspection module.
The power distribution module distributes power to each household according to the power consumption change, and the user uses power according to the distributed power quantity; the power inspection module is used for inspecting household power consumption, sending power consumption consultation information through the server, enabling a user to receive the power consumption consultation information to determine, enabling the user to determine whether the power consumption is abnormal according to the power consumption, informing maintenance personnel of power consumption maintenance if the power consumption is abnormal, and enabling normal power supply if the power consumption is not abnormal.
The above formulas are all formulas for removing dimensions and taking numerical calculation, the formulas are formulas for obtaining the latest real situation by collecting a large amount of data and performing software simulation, preset parameters in the formulas are set by a person skilled in the art according to the actual situation, if weight coefficients and proportion coefficients exist, the set sizes are specific numerical values obtained by quantizing the parameters, the subsequent comparison is convenient, and the proportional relation between the weight coefficients and the proportion coefficients is not influenced as long as the proportional relation between the parameters and the quantized numerical values is not influenced.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
It will be appreciated by those skilled in the art that 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 therein.
The above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. A method of power control based on large-scale grid power flow, the method comprising the steps of:
step S1: acquiring power information in the power grid tide process, 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: transmitting the power operation parameters to a power calculation module, and receiving the power operation parameters by the power calculation module to calculate and obtain a power operation change value;
step S3: the power operation change value is transmitted to a data analysis module, the data analysis module analyzes the power operation change characteristic based on the power operation change value, and an analysis result is obtained;
step S4: if the result is normal, transmitting the analysis result to the power distribution module, and performing power distribution by the power distribution module based on power change, and if the result is abnormal, checking the power operation abnormality by the power inspection module;
when analyzing the power information, the specific steps are as follows:
step S11: acquiring electricity utilization user information of a time period T, and acquiring the number of users based on the user information;
step S12: acquiring current values, voltage values and using time values of the first to nth users;
step S13: acquiring the electricity consumption according to the current value, the voltage value and the using time value, and acquiring the electricity consumption of the first to nth users in the time period of T-2T; acquiring the electric quantity used by the first to nth users in the time period of 2T-3T, thereby acquiring the electric quantity used by the first to nth users in the time period of (n-1) T-nT;
step S14: defining n used electric quantities as electric power operation parameters, and transmitting the electric power operation parameters to an electric power calculation module;
the power calculation module receives a plurality of electric consumption in the power operation parameters, acquires an electric consumption change value based on the electric consumption, and acquires and analyzes the electric consumption change value, and specifically comprises the following steps:
step S21: the difference value between every two electric quantity is obtained, and the obtained difference value is defined as an electric quantity change value;
step S22: taking time nT as an abscissa and taking an ordinate as a plane rectangular coordinate system using an electric quantity change value;
step S23: the electric quantity change values are expressed in a plane rectangular coordinate system in the form of coordinate points, the coordinate points formed in a plurality are connected smoothly in a curve to form an electric quantity change curve graph,
step S24: forming a plurality of electric quantity change 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 graphs, and transmitting the electric quantity change to a data analysis module;
the data analysis module performs the following specific steps when analyzing:
step S31: the data analysis module receives the electric quantity change value in the electric quantity change curve graph and acquires the average value of the electric quantity used by each user;
step S32: if the electric quantity change value in the electric quantity change curve graph is larger than the electric quantity average value, judging that the electric quantity change is abnormal, and judging that the result is abnormal;
step S33: if the electric quantity change value in the electric quantity change curve graph is smaller than the electric quantity average value, judging that the electric quantity change is normal, and judging that the result is normal.
2. The power control system based on the large-scale power grid trend 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 connected with the server in a data mode;
the power acquisition module acquires power information in the power flow process of the power grid, the power information is transmitted to the data analysis module, and the data analysis module receives the power information 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 and obtain a power operation change value;
the power operation change value is transmitted to a data analysis module, the data analysis module analyzes the power operation change characteristic based on the power operation change value, and an analysis result is obtained;
and if the result is normal, transmitting the analysis result to the power distribution module, wherein the power distribution module distributes power based on power change, and if the result is abnormal, the power inspection module inspects the power operation abnormality.
3. A large scale grid power flow based power control system according to claim 2 wherein the power information comprises a power current value, a voltage value and a time of use value;
acquiring power utilization user information of a time period T, acquiring the number of users based on the user information, and setting the number of users as n;
acquiring current values, voltage values and using time values of the first to nth users;
acquiring the electricity consumption according to the current value, the voltage value and the using time value, and acquiring the electricity consumption of the first to nth users in the time period of T-2T; acquiring the electric quantity used by the first to nth users in the time period of 2T-3T, thereby acquiring the electric quantity used by the first to nth users in the time period of (n-1) T-nT;
the n used electric quantities are defined as electric power operation parameters, and the electric power operation parameters are transmitted to the electric power calculation module.
4. A power control system based on large-scale power grid trend according to claim 3, wherein the power calculation module receives a plurality of used power amounts in the power operation parameters, obtains the used power amount change value based on the used power amounts, and performs the obtaining and analyzing on the used power amount change value, specifically as follows:
the difference value between every two electric quantity is obtained, and the obtained difference value is defined as an electric quantity change value;
taking time nT as an abscissa and taking an ordinate as a plane rectangular coordinate system using an electric quantity change value;
and expressing the multiple electric quantity change values in a plane rectangular coordinate system in the form of coordinate points, smoothly connecting the multiple formed coordinate points in a curve to form an electric quantity change curve graph, forming multiple electric quantity change curve graphs according to multiple 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.
5. The power control system based on large-scale power grid trend according to claim 4, wherein the data analysis module receives the power variation value in the power variation graph, obtains an average value of power 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 the power, determines that the result is abnormal if the power variation value in the power variation graph is less than the average value of the 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 the power, and determines that the result is normal.
6. The power control system based on large-scale power grid trend according to claim 2, wherein the power distribution module distributes power to each user according to power consumption changes, and the user distributes power according to the distributed power quantity;
the power inspection module is used for inspecting household power consumption, sending power consumption consultation information through the server, enabling a user to receive the power consumption consultation information to determine, enabling the user to determine whether the power consumption is abnormal according to the power consumption, informing maintenance personnel of power consumption maintenance if the power consumption is abnormal, and enabling normal power supply if the power consumption is not abnormal.
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Family Cites Families (14)
| 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 |
| CN105071385B (en) * | 2015-08-10 | 2019-02-12 | 国家电网公司 | A kind of grid operation data real-time analyzer |
| CN108879667B (en) * | 2018-07-09 | 2021-08-31 | 国网上海市电力公司 | Power grid closed-loop control power flow simulation method |
| CN109390937B (en) * | 2018-11-09 | 2021-12-21 | 广东电网有限责任公司 | Electrical parameter identification method and system based on power system operation 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 |
| CN111064187B (en) * | 2019-12-10 | 2023-03-14 | 国网安徽省电力有限公司 | Electric quantity limit distribution method for power generation and utilization |
| CN111049128B (en) * | 2019-12-10 | 2021-04-27 | 浙江大学 | Power system reliability improving method considering load prediction power utilization influence |
| KR20210089035A (en) * | 2020-01-07 | 2021-07-15 | 한국전력공사 | METHOD and SYSTEM for CALCULATING OPTIMUM POWER FLOW |
| CN111864904B (en) * | 2020-07-27 | 2022-04-01 | 湖南创业德力电气有限公司 | 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 |
| CN115603321B (en) * | 2022-11-11 | 2023-06-16 | 浙江浙能能源服务有限公司 | Power load prediction system and method based on power consumption data |
| CN115498640B (en) * | 2022-11-14 | 2023-03-21 | 江苏海铂德能源科技有限公司 | Micro-grid energy control method and system based on virtual power plant |
| CN115577234B (en) * | 2022-11-21 | 2023-04-07 | 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 |
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| 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 |
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