CN113393340B - Power transmission scheduling management method and scheduling management platform based on power utilization terminal load data analysis - Google Patents
Power transmission scheduling management method and scheduling management platform based on power utilization terminal load data analysis Download PDFInfo
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Abstract
The invention discloses a power transmission scheduling management method and a scheduling management platform based on power terminal load data analysis, which are characterized in that power end power quality coefficient evaluation is firstly carried out on a power grid system of a power consumption enterprise to obtain the maximum total load power allowed to be accessed by the power grid system, matched power loads meeting the maximum total load power are screened out from all user loads of the power consumption enterprise according to the maximum total load power, the screened matched power loads are classified into overvoltage matched power loads, undervoltage matched power loads and normal matched power loads according to the actual operating voltage of the matched power loads in the operating process, and then power intelligent scheduling is carried out on the classified undervoltage matched power loads, so that power scheduling management on the power grid system of the power consumption enterprise in the power consumption peak period is realized, and the power resources of the power grid system of the power consumption enterprise in the power consumption peak period can be reasonably configured, the normal operation of the power utilization load in the power utilization enterprise power grid system is effectively guaranteed.
Description
Technical Field
The invention belongs to the technical field of power dispatching management, and particularly relates to a power transmission dispatching management method and a dispatching management platform based on power utilization terminal load data analysis.
Background
With the rapid development of economy in China, important participation of power resources is needed when various industries of society are in production and construction, and meanwhile, the demand of each power utilization enterprise on electric energy is continuously increased due to the continuous increase of power utilization equipment in each power utilization enterprise at present.
However, the power supplied by the power supply end of the power utility is usually fixed, and not all power utilities have a backup power supply. When the power consumption enterprise is in the power consumption peak period, the electric energy of its power end supply probably just is difficult to supply a large amount of power consumption loads and works simultaneously, will lead to some power consumption loads not enough this moment, if under-voltage, long-time power supply is not enough, not only can influence power consumption load normal operating, still can influence power consumption load's life. Therefore, under the condition, power dispatching management needs to be performed on the power grid system of the power utilization enterprise, so that normal operation of the power utilization load in the power grid system of the power utilization enterprise is guaranteed.
Disclosure of Invention
Based on the requirements, the invention provides a power transmission scheduling management method and a scheduling management platform based on power consumption terminal load data analysis, which are characterized in that power supply end power quality coefficient evaluation is firstly carried out on a power grid system of a power consumption enterprise, so that the maximum total load power allowed to be accessed by the power grid system is obtained, matched power consumption loads meeting the maximum total load power are screened out from all power consumption loads of the power consumption enterprise according to the maximum total load power, meanwhile, the screened matched power consumption loads are classified according to the actual operating voltage of the matched power consumption loads in the operating process, and further, power intelligent scheduling is carried out on the classified undervoltage matched power consumption loads, so that power scheduling management on the power grid system of the power consumption enterprise is realized in the power consumption peak period.
The purpose of the invention can be realized by the following technical scheme:
in a first aspect, the present invention provides a power transmission scheduling management method based on power consumption terminal load data analysis, including the following steps:
step 1, dividing a power grid system of a power utilization enterprise: dividing a power grid system of a power utilization enterprise into a power supply end and a power utilization load end;
step 2, evaluating the quality coefficient of the power supply end: when the power supply end starts power supply work, acquiring power supply quality parameters corresponding to the power supply end in real time, and evaluating power supply quality coefficients corresponding to the power supply end according to the power supply quality parameters;
and 3, allowing the power grid system to access the maximum total load power to obtain: extracting the maximum total load power allowed to be accessed by the power grid system corresponding to the power quality coefficient from a management database according to the power quality coefficient corresponding to the evaluated power end;
and 4, screening matched electric loads: screening matched power loads from all power loads according to the maximum total load power allowed to be accessed by the power grid system, and accessing the screened matched power loads into the power grid system;
step 5, collecting the actual running voltage of the matched electric load: in the running process of the matched power loads, collecting actual running voltage corresponding to each matched power load in real time;
step 6, matching the power utilization load classification: comparing the actual operating voltage corresponding to each matching power consumption load with the rated operating voltage of the matching power consumption load, and classifying each matching power consumption load into an overvoltage matching power consumption load, an undervoltage matching power consumption load and a normal matching power consumption load according to the comparison result;
step 7, under-voltage matching power utilization load electric energy intelligent scheduling: and carrying out intelligent power dispatching on each undervoltage matching power utilization load.
In one possible design of the first aspect of the invention, the power quality parameters include frequency deviation, voltage deviation, grid harmonics and three-phase voltage unbalance.
In a possible design of the first aspect of the present invention, the power quality coefficient corresponding to the power source end is evaluated in step 2, and the specific evaluation method is as follows:
s1, forming a power source end power source quality parameter set G (G1, G2, G3 and G4) by the acquired power source quality parameters corresponding to the power source ends, and respectively representing G1, G2, G3 and G4 as frequency deviation, voltage deviation, power grid harmonic waves and three-phase voltage unbalance;
s2, comparing the power supply end quality parameter set with the standard power supply quality parameters corresponding to the preset power system to obtain a power supply end quality parameter comparison set delta G (delta G1, delta G2, delta G3 and delta G4), and evaluating the power supply quality coefficients corresponding to the power supply end according to the power supply end quality parameter comparison set, wherein the evaluation calculation formula is
Eta is expressed as a power supply quality coefficient corresponding to a power supply end, delta g1, delta g2, delta g3 and delta g4 are respectively expressed as the frequency deviation, the voltage deviation, the power grid harmonic wave and the difference value between the three-phase voltage unbalance and the standard frequency deviation, the standard voltage deviation, the standard power grid harmonic wave and the standard three-phase voltage unbalance corresponding to the power system of the power supply end, and g1 Standard of merit 、g2 Standard of reference 、g3 Standard of merit 、g4 Standard of merit And the standard frequency deviation, the standard voltage deviation, the standard power grid harmonic wave and the standard three-phase voltage unbalance corresponding to the power system are respectively expressed.
In one possible design of the first aspect of the invention, the medical parameters include medical costs and chronic disease body index data.
In a possible design of the first aspect of the present invention, in step 4, a matched electrical load is screened out from all electrical loads according to a maximum total load power allowed to be accessed by the power grid system, and a specific screening process of the matched electrical load includes the following steps:
h1, acquiring all the current electric load types required by the electric enterprises, acquiring all the electric loads subordinate to each electric load type, and forming an electric load set corresponding to each electric load type;
h2, acquiring the rated power corresponding to each electric load in the electric load set, and arranging the electric loads in the electric load set corresponding to each electric load type according to the sequence of the corresponding rated power from large to small;
h3, extracting the electric loads arranged at the first position from the electric load sets corresponding to the electric load types respectively;
h4, acquiring the rated power corresponding to the extracted electric loads of the first row, accumulating the acquired rated power corresponding to the electric loads of the first row to obtain an accumulated power sum, comparing the accumulated power sum with the maximum total load power allowed to be accessed by the power grid system, recording the extracted electric loads of the first row as matching electric loads if the accumulated power sum is less than or equal to the maximum total load power allowed to be accessed by the power grid system, and executing the step H5 if the accumulated power sum is greater than the maximum total load power allowed to be accessed by the power grid system;
h5, according to the arrangement sequence of the electric loads in the electric load sets corresponding to the electric load types, respectively extracting the electric loads ranked next from the electric load sets corresponding to the electric load types, and processing the extracted electric loads according to the method of the step H4 until the electric loads ranked last are extracted.
In a possible design of the first aspect of the present invention, in step 6, the matching electrical loads are classified into overvoltage matching electrical loads, undervoltage matching electrical loads, and normal matching electrical loads, and the specific classification method includes the following steps:
d1, numbering matched electric loads accessed to the power grid system according to the distances from the power grid branch where the electric loads are located to the power supply end from near to far, and respectively marking the matched electric loads as 1,2, a.
D2, forming an actual operating voltage set V (V1, V2, Vi, V.., Vn) corresponding to each matching electric load into an actual operating voltage set V (V1, V2, Vi.., V.., Vn), wherein Vi is expressed as the actual operating voltage corresponding to the ith matching electric load;
d3: comparing the actual operation voltage set of the matched electric loads with the rated operation voltage range corresponding to each matched electric load, if the actual operation voltage corresponding to a certain matched electric load is less than the lower limit value of the rated operation voltage range corresponding to the matched electric load, indicating that the matched electric load is under-voltage, the matching power load is marked as an under-voltage matching power load, if the actual operating voltage corresponding to a certain matching power load is larger than the upper limit value of the rated operating voltage range corresponding to the matching power load, the matching power load is indicated to be in overvoltage, the matching power load is marked as an overvoltage matching power load, if the actual operating voltage corresponding to a certain matching power load is within the range of the rated operating voltage corresponding to the matching power load, the matching electric load is indicated to be normal in operating voltage, and the matching electric load is marked as a normal matching electric load.
In a possible design of the first aspect of the present invention, in step 7, the intelligent scheduling of electric energy is performed on each under-voltage matching electric load, where the specific scheduling method is as follows:
f1, acquiring the number corresponding to each under-voltage matching electric load, and sequencing the under-voltage matching electric loads according to the sequence of the numbers from small to large to obtain the sequencing result corresponding to each under-voltage matching electric load;
f2, sequentially carrying out electric energy intelligent scheduling on the under-voltage matching electric loads according to the sequencing result corresponding to the under-voltage matching electric loads, and specifically executing the following steps:
f21, extracting the undervoltage matching electric loads arranged at the first position from the sequencing results corresponding to the undervoltage matching electric loads, and acquiring the positions of the power grid branches where the undervoltage matching electric loads are arranged;
f22, judging whether an overvoltage matching power load and a normal matching power load exist in front of the power network branch position of the undervoltage matching power load according to the position of the power network branch of the undervoltage matching power load, if only the overvoltage matching power load exists or only the normal matching power load exists, marking the overvoltage matching power load as a target overvoltage matching power load, marking the normal matching power load as a target normal matching power load, and extracting all target overvoltage matching power loads or all target normal matching power loads corresponding to the undervoltage matching power load;
f23, sorting all target overvoltage matching electric loads or all target normal matching electric loads corresponding to the extracted undervoltage matching electric loads according to the sequence from near to far from the undervoltage matching electric loads to obtain a target overvoltage matching electric load sorting result or a target normal matching electric load sorting result corresponding to the undervoltage matching electric loads, selecting the target overvoltage matching electric loads from the target overvoltage matching electric load sorting result for electric power scheduling or selecting the target normal matching electric loads from the target normal matching electric load sorting result for electric power scheduling according to the target overvoltage matching electric loads, and marking the selected target overvoltage matching electric loads or target normal matching electric loads as scheduling electric loads;
f24, after the power dispatching of the undervoltage matching power loads ranked at the first position is finished, recording the serial numbers of the dispatching power loads, extracting the undervoltage matching power loads ranked at the next position from the sorting results corresponding to the undervoltage matching power loads until the undervoltage matching power loads ranked at the last position are extracted, further carrying out the power dispatching on the extracted undervoltage matching power loads according to the method of the steps F22-F23, and simultaneously rejecting all dispatching power loads corresponding to the undervoltage matching power loads which are subjected to the power dispatching before in the dispatching process.
In a possible design of the first aspect of the present invention, in the process of selecting a target overvoltage matching electrical load from a target overvoltage matching electrical load ranking result or selecting a target normal matching electrical load from a target normal matching electrical load ranking result for performing electrical power scheduling for the undervoltage matching electrical load in F23, when the target overvoltage matching electrical load is selected for performing electrical power scheduling, a specific scheduling method is to perform a current reduction operation on a power network branch corresponding to the selected target overvoltage matching electrical load, at this time, obtain a rated current range corresponding to the target overvoltage matching electrical load, and reduce a current of the power network branch corresponding to the target overvoltage matching electrical load to the rated current range corresponding to the target overvoltage matching electrical load.
In a possible design of the first aspect of the present invention, when a target standard matching electrical load is selected for power scheduling, the specific scheduling method is to perform a current reduction operation on a power grid branch corresponding to the selected target standard matching electrical load, at this time, obtain a lower limit value of a rated current range corresponding to the target standard matching electrical load, and reduce a current of the power grid branch corresponding to the target standard matching electrical load to the lower limit value of the rated current range corresponding to the target standard matching electrical load.
In a possible design of the first aspect of the present invention, in the F22, it is determined according to the position of the power grid branch where the under-voltage matching power load is located whether there are an over-voltage matching power load and a normal matching power load in front of the position of the power grid branch where the under-voltage matching power load is located, if there are both an over-voltage matching power load and a normal matching power load, only counting all the existing over-voltage matching power loads, and performing power scheduling on all the counted over-voltage matching power loads according to the method in steps F23-F24.
In a second aspect, the present invention provides a scheduling management platform, where the scheduling management platform includes a processor, a machine-readable storage medium, and a network interface, where the machine-readable storage medium, the network interface, and the processor are connected through a bus system, the network interface is configured to be communicatively connected to at least one power transmission scheduling management device, the machine-readable storage medium is configured to store a program, an instruction, or code, and the processor is configured to execute the program, the instruction, or the code in the machine-readable storage medium, so as to execute a power transmission scheduling management method based on power consumption terminal load data analysis according to the present invention.
Based on any one of the above aspects, the invention has the following beneficial effects:
(1) the invention firstly evaluates the power supply end power supply quality coefficient of the power grid system of the power consumption enterprise to obtain the maximum total load power which is allowed to be accessed by the power grid system, screens out matched power consumption loads meeting the maximum total load power from all power consumption loads of the power consumption enterprise, classifies the screened matched power consumption loads into overvoltage matched power consumption loads, undervoltage matched power consumption loads and normal matched power consumption loads according to the actual operating voltage of the matched power consumption loads in the operating process, and further carries out power intelligent scheduling on the classified undervoltage matched power consumption loads, thereby realizing the power scheduling management of the power grid system of the power consumption enterprise in the power consumption peak period, leading the power resources of the power grid system of the power consumption enterprise to be reasonably configured in the power consumption peak period, effectively ensuring the normal operation of the power consumption loads in the power consumption enterprise power grid system on the one hand, on the other hand, the situation of insufficient power supply of the electric load is greatly reduced, and the service life of the electric load is further prolonged.
(2) According to the method, before the power utilization loads of the power utilization enterprises are connected into the power grid system, the power quality coefficient of the power end of the power grid system is evaluated, so that the matched power utilization loads are screened according to the evaluation result, the problem of power grid paralysis caused by blindly connecting all the power utilization loads into the power grid system can be effectively avoided, and the continuous and effective operation of the power grid system can be guaranteed.
(3) According to the method, during the process of carrying out power intelligent scheduling on the undervoltage matching power utilization loads, situation-specific power scheduling is carried out according to the matching power utilization load situation existing in front of the power grid branch position where the undervoltage matching power utilization loads are located, the situations of separation from reality and poor scheduling effect caused by scheduling in a unified power scheduling mode are avoided, the characteristics of intellectualization and practicability of scheduling are embodied, the scheduling flexibility is improved, and the scheduling effect is further improved.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, without inventive effort, further drawings may be derived from the following figures.
FIG. 1 is a flow chart of the method steps of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, in a first aspect, the present invention provides a power transmission scheduling management method based on power consumption terminal load data analysis, including the following steps:
step 1, dividing a power grid system of a power utilization enterprise: dividing a power grid system of a power utilization enterprise into a power supply end and a power utilization load end;
step 2, evaluating the quality coefficient of the power supply end: the method comprises the following steps of collecting power quality parameters corresponding to a power end in real time when the power end starts to supply power, wherein the power quality parameters comprise frequency deviation, voltage deviation, power grid harmonic waves and three-phase voltage unbalance, and evaluating power quality coefficients corresponding to the power end according to the power quality parameters, wherein the specific evaluation method comprises the following steps:
s1, forming a power source end power source quality parameter set G (G1, G2, G3 and G4) by the acquired power source quality parameters corresponding to the power source ends, and respectively representing G1, G2, G3 and G4 as frequency deviation, voltage deviation, power grid harmonic waves and three-phase voltage unbalance;
s2, comparing the power supply end quality parameter set with the standard power supply quality parameter corresponding to the preset power system to obtain the power supply end quality parameterComparing the sets delta G (delta G1, delta G2, delta G3 and delta G4), and evaluating the power quality coefficients corresponding to the power supply terminals according to the power quality parameter comparison sets of the power supply terminals, wherein the evaluation calculation formula is
Eta is expressed as a power supply quality coefficient corresponding to a power supply end, delta g1, delta g2, delta g3 and delta g4 are respectively expressed as the frequency deviation, the voltage deviation, the power grid harmonic wave and the difference value between the three-phase voltage unbalance and the standard frequency deviation, the standard voltage deviation, the standard power grid harmonic wave and the standard three-phase voltage unbalance corresponding to the power system of the power supply end, and g1 Standard of merit 、g2 Standard of merit 、g3 Standard of merit 、g4 Standard of reference Respectively representing the standard frequency deviation, the standard voltage deviation, the standard power grid harmonic wave and the standard three-phase voltage unbalance corresponding to the power system;
in the embodiment, before the power utilization load of a power utilization enterprise is connected into a power grid system, a screening basis is provided for screening matched power utilization loads according to an evaluation result by evaluating the power quality coefficient of a power source end of the power grid system;
and 3, allowing the power grid system to access the maximum total load power to obtain: extracting the maximum total load power which is allowed to be accessed by the power grid system and corresponds to the power quality coefficient from a management database according to the power quality coefficient corresponding to the evaluated power end;
and 4, screening matched electric loads: screening out matched electric loads from all electric loads according to the maximum total load power allowed to be accessed by the power grid system, wherein the specific screening process comprises the following steps:
h1, acquiring all the current electric load types required by the electric enterprises, acquiring all the electric loads subordinate to each electric load type, and forming an electric load set corresponding to each electric load type;
h2, acquiring the rated power corresponding to each electric load in the electric load set, and arranging the electric loads in the electric load set corresponding to each electric load type according to the sequence of the corresponding rated power from large to small;
h3, extracting the electric loads ranked at the first place from the electric load sets corresponding to the electric load types respectively;
h4, acquiring the rated power corresponding to the extracted electric loads of the first row, accumulating the acquired rated power corresponding to the electric loads of the first row to obtain an accumulated power sum, comparing the accumulated power sum with the maximum total load power allowed to be accessed by the power grid system, recording the extracted electric loads of the first row as matching electric loads if the accumulated power sum is less than or equal to the maximum total load power allowed to be accessed by the power grid system, and executing the step H5 if the accumulated power sum is greater than the maximum total load power allowed to be accessed by the power grid system;
h5, extracting the next-ranked electric loads from the electric load sets corresponding to the electric load types according to the arrangement sequence of the electric loads in the electric load sets corresponding to the electric load types, and processing the extracted electric loads according to the method in the step H4 until the last-ranked electric loads are extracted and the screened matched electric loads are accessed into a power grid system;
the load types mentioned in this embodiment include inductive load, capacitive load, resistive load, hybrid load, and the like;
in the embodiment, the matched power utilization loads are screened out from all power utilization loads of the power utilization enterprise according to the maximum total load power allowed to be accessed by the power grid system, and then the matched power utilization loads are accessed into the power grid system, so that the problem of power grid paralysis caused by blindly and completely accessing all the power utilization loads into the power grid system can be effectively avoided, the continuous and effective operation of the power grid system can be favorably ensured, and all the power utilization load types currently required by the power utilization enterprise are comprehensively considered in the screening process, so that the screened matched power utilization loads can meet the requirement of the load power allowed to be accessed by the power grid system and the current power utilization load operation requirement of the power utilization enterprise, and the normal operation of the power utilization enterprise is not influenced;
step 5, collecting the actual running voltage of the matched electric load: acquiring actual operating voltage corresponding to each matched power load in real time in the running process of the matched power loads;
step 6, matching the power utilization load classification: the method specifically comprises the following steps of comparing actual operation voltage corresponding to each matching power utilization load with rated operation voltage of the matching power utilization load, and classifying the matching power utilization loads into overvoltage matching power utilization loads, undervoltage matching power utilization loads and normal matching power utilization loads according to comparison results:
d1, numbering each matching electric load connected to the power grid system according to the distance from the power grid branch where each electric load is located to a power supply end from near to far, and marking the electric loads as 1,2, a.i., i, a.n;
d2, forming an actual operating voltage set V (V1, V2, Vi, V.., Vn) corresponding to each matching electric load into an actual operating voltage set V (V1, V2, Vi.., V.., Vn), wherein Vi is expressed as the actual operating voltage corresponding to the ith matching electric load;
d3: comparing the actual operation voltage set of the matched electric loads with the rated operation voltage range corresponding to each matched electric load, if the actual operation voltage corresponding to a certain matched electric load is less than the lower limit value of the rated operation voltage range corresponding to the matched electric load, indicating that the matched electric load is under-voltage, the matching power load is marked as an under-voltage matching power load, if the actual operating voltage corresponding to a certain matching power load is larger than the upper limit value of the rated operating voltage range corresponding to the matching power load, the matching power load is indicated to be in overvoltage, the matching power load is marked as an overvoltage matching power load, if the actual operating voltage corresponding to a certain matching power load is within the range of the rated operating voltage corresponding to the matching power load, the running voltage of the matched power load is normal, and the matched power load is marked as a normal matched power load;
in the embodiment, all matched power loads connected into a power grid system are classified, so that a scheduling target is provided for power scheduling of the classified under-voltage matched power loads at the later stage;
step 7, intelligent scheduling of electric energy of the undervoltage matching power utilization load: the intelligent power dispatching method comprises the following steps of carrying out intelligent power dispatching on each undervoltage matched power utilization load:
f1, acquiring the number corresponding to each under-voltage matching electric load, and sequencing the under-voltage matching electric loads according to the sequence of the numbers from small to large to obtain the sequencing result corresponding to each under-voltage matching electric load;
f2, sequentially carrying out electric energy intelligent scheduling on the under-voltage matching electric loads according to the sequencing result corresponding to the under-voltage matching electric loads, and specifically executing the following steps:
f21, extracting the undervoltage matching electric loads arranged at the first position from the sequencing results corresponding to the undervoltage matching electric loads, and acquiring the positions of the power grid branches where the undervoltage matching electric loads are arranged;
f22, judging whether an overvoltage matching power load and a normal matching power load exist in front of the power network branch position of the undervoltage matching power load according to the position of the power network branch of the undervoltage matching power load, if the overvoltage matching power load and the normal matching power load exist at the same time, executing the step F25, if only the overvoltage matching power load exists or only the normal matching power load exists, recording the overvoltage matching power load as a target overvoltage matching power load, recording the normal matching power load as a target normal matching power load, and extracting all target overvoltage matching power loads or all target normal matching power loads corresponding to the undervoltage matching power load;
f23, sorting all target overvoltage matching electric loads or all target normal matching electric loads corresponding to the extracted undervoltage matching electric loads according to the sequence from near to far from the undervoltage matching electric loads to obtain a target overvoltage matching electric load sorting result or a target normal matching electric load sorting result corresponding to the undervoltage matching electric loads, selecting the target overvoltage matching electric loads from the target overvoltage matching electric load sorting result for electric power scheduling or selecting the target normal matching electric loads from the target normal matching electric load sorting result for electric power scheduling according to the target overvoltage matching electric loads, wherein when the target overvoltage matching electric loads are selected for electric power scheduling, the specific scheduling method is to perform current reduction operation on the power network branch corresponding to the selected target overvoltage matching electric loads, obtaining a rated current range corresponding to the target overvoltage matching electric load, reducing the current of a power grid branch corresponding to the target overvoltage matching electric load to the rated current range corresponding to the target overvoltage matching electric load, when the target standard matching electric load is selected for electric power scheduling, performing current reduction operation on the power grid branch corresponding to the selected target standard matching electric load, obtaining a lower limit value of the rated current range corresponding to the target standard matching electric load, reducing the current of the power grid branch corresponding to the target standard matching electric load to the lower limit value of the rated current range corresponding to the target standard matching electric load, and recording the selected target overvoltage matching electric load or target normal matching electric load as a scheduling electric load;
f24, after the power dispatching of the undervoltage matching power loads arranged at the first position is finished, recording the serial numbers of the dispatching power loads, extracting the undervoltage matching power loads arranged at the next position from the sequencing results corresponding to the undervoltage matching power loads until the undervoltage matching power loads arranged at the last position are extracted, further carrying out the power dispatching on the extracted undervoltage matching power loads according to the method of the steps F22-F23, and simultaneously rejecting all dispatching power loads corresponding to the undervoltage matching power loads which are subjected to the power dispatching before in the dispatching process;
f25, only counting all the overvoltage matching electric loads, and performing power dispatching on all the counted overvoltage matching electric loads according to the method of the steps F23-F24.
This embodiment carries out the power dispatching of branch condition pertinence through the matching power consumption load condition according to the preceding existence in power grid branch road position of undervoltage matching power consumption load place to undervoltage matching power consumption load in-process, avoids dispatching the emergence that breaks away from reality, the not good condition of scheduling effect that leads to with unified power dispatching mode, has embodied the intellectuality and the practicality characteristics of dispatching, has improved the flexibility ratio of dispatching, and then has improved the scheduling effect.
In the embodiment, when the power dispatching is performed on the undervoltage matching power load, the power dispatching is performed by selecting the dispatching power load from the target overvoltage matching power load or the target normal matching power load which is arranged in front of the power grid branch position of the undervoltage matching power load, because the current flows out from the power supply end and has a flowing path in the process of passing through the power load, only the power of the matching power load in front of the power grid branch position of the undervoltage matching power load is dispatched, the dispatched power can reach the power grid branch of the undervoltage matching power load along the flowing path, and the reasonable configuration of the power can be realized, and in the embodiment, when the dispatching power load is performed, the current reduction operation is adopted, because the resistance of the power load is constant, when the current flowing through the power load changes, according to the ohm law, the operation voltage of the power load can also change, so that the selected scheduling power load is subjected to current reduction operation, the current flowing through the scheduling power load is reduced, the current flowing through the undervoltage matching power load is increased correspondingly, the operation voltage of the undervoltage matching power load is increased accordingly, the undervoltage matching power load is separated from an undervoltage state, and the power scheduling of the undervoltage matching power load is completed.
In a second aspect, the present invention provides a scheduling management platform, where the scheduling management platform includes a processor, a machine-readable storage medium, and a network interface, where the machine-readable storage medium, the network interface, and the processor are connected through a bus system, the network interface is configured to be communicatively connected to at least one power transmission scheduling management device, the machine-readable storage medium is configured to store a program, an instruction, or a code, and the processor is configured to execute the program, the instruction, or the code in the machine-readable storage medium to perform a power transmission scheduling management method based on power consumption terminal load data analysis according to the present invention.
The invention firstly evaluates the power supply end power supply quality coefficient of the power grid system of the power consumption enterprise to obtain the maximum total load power which is allowed to be accessed by the power grid system, screens out matched power consumption loads meeting the maximum total load power from all power consumption loads of the power consumption enterprise, classifies the screened matched power consumption loads into overvoltage matched power consumption loads, undervoltage matched power consumption loads and normal matched power consumption loads according to the actual operating voltage of the matched power consumption loads in the operating process, and further carries out power intelligent scheduling on the classified undervoltage matched power consumption loads, thereby realizing the power scheduling management of the power grid system of the power consumption enterprise in the power consumption peak period, leading the power resources of the power grid system of the power consumption enterprise to be reasonably configured in the power consumption peak period, effectively ensuring the normal operation of the power consumption loads in the power consumption enterprise power grid system on the one hand, on the other hand, the situation of insufficient power supply of the electric load is greatly reduced, and the service life of the electric load is further prolonged.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (9)
1. A power transmission scheduling management method based on power consumption terminal load data analysis is characterized by comprising the following steps:
step 1, dividing a power grid system of a power utilization enterprise: dividing a power grid system of a power utilization enterprise into a power supply end and a power utilization load end;
step 2, evaluating the power supply end power supply quality coefficient: when the power supply end starts power supply work, acquiring power supply quality parameters corresponding to the power supply end in real time, and evaluating power supply quality coefficients corresponding to the power supply end according to the power supply quality parameters;
and 3, allowing the power grid system to access the maximum total load power to obtain: extracting the maximum total load power allowed to be accessed by the power grid system corresponding to the power quality coefficient from a management database according to the power quality coefficient corresponding to the evaluated power end;
and 4, screening matched electric loads: screening matched power loads from all power loads according to the maximum total load power allowed to be accessed by the power grid system, and accessing the screened matched power loads into the power grid system;
step 5, collecting the actual running voltage of the matched electric load: acquiring actual operating voltage corresponding to each matched power load in real time in the running process of the matched power loads;
and 6, matching the power utilization load classification: comparing the actual operating voltage corresponding to each matching power consumption load with the rated operating voltage of the matching power consumption load, and classifying each matching power consumption load into an overvoltage matching power consumption load, an undervoltage matching power consumption load and a normal matching power consumption load according to the comparison result;
step 7, intelligent scheduling of electric energy of the undervoltage matching power utilization load: carrying out intelligent power dispatching on each undervoltage matched power utilization load;
in the step 2, the power quality coefficient corresponding to the power end is evaluated, and the specific evaluation method is as follows:
s1, forming a power source end power source quality parameter set G (G1, G2, G3 and G4) by the acquired power source quality parameters corresponding to the power source ends, and respectively representing G1, G2, G3 and G4 as frequency deviation, voltage deviation, power grid harmonic waves and three-phase voltage unbalance;
s2, comparing the power supply end quality parameter set with the standard power supply quality parameters corresponding to the preset power system to obtain a power supply end quality parameter comparison set delta G (delta G1, delta G2, delta G3 and delta G4), and evaluating the power supply quality coefficients corresponding to the power supply end according to the power supply end quality parameter comparison set, wherein the evaluation calculation formula is
Eta is expressed as a power supply quality coefficient corresponding to the power supply end, delta g1, delta g2, delta g3 and delta g4 are respectively expressed as the frequency deviation, the voltage deviation, the power grid harmonic wave and the difference value between the three-phase voltage unbalance and the standard frequency deviation, the standard voltage deviation, the standard power grid harmonic wave and the standard three-phase voltage unbalance corresponding to the power system of the power supply end, and g1 is used for calculating the difference value of the three-phase voltage unbalance and the standard frequency deviation, the standard voltage deviation, the standard power grid harmonic wave and the standard three-phase voltage unbalance Standard of merit 、g2 Standard of merit 、g3 Standard of merit 、g4 Standard of merit And the standard frequency deviation, the standard voltage deviation, the standard power grid harmonic wave and the standard three-phase voltage unbalance are respectively expressed as the standard frequency deviation, the standard voltage deviation, the standard power grid harmonic wave and the standard three-phase voltage unbalance corresponding to the power system.
2. The power transmission scheduling management method based on power consumption terminal load data analysis according to claim 1, wherein: the power quality parameters comprise frequency deviation, voltage deviation, power grid harmonic waves and three-phase voltage unbalance.
3. The power transmission scheduling management method based on power consumption terminal load data analysis according to claim 1, wherein: in the step 4, matched electric loads are screened out from all electric loads according to the maximum total load power allowed to be accessed by the power grid system, and the specific screening process executes the following steps:
h1, acquiring all the current electric load types required by the electric enterprises, acquiring all the electric loads subordinate to each electric load type, and forming an electric load set corresponding to each electric load type;
h2, acquiring the rated power corresponding to each electric load in the electric load set, and arranging the electric loads in the electric load set corresponding to each electric load type according to the sequence of the corresponding rated power from large to small;
h3, extracting the electric loads ranked at the first place from the electric load sets corresponding to the electric load types respectively;
h4, acquiring the rated power corresponding to the extracted electric loads of the first row, accumulating the acquired rated power corresponding to the electric loads of the first row to obtain an accumulated power sum, comparing the accumulated power sum with the maximum total load power allowed to be accessed by the power grid system, recording the extracted electric loads of the first row as matching electric loads if the accumulated power sum is less than or equal to the maximum total load power allowed to be accessed by the power grid system, and executing the step H5 if the accumulated power sum is greater than the maximum total load power allowed to be accessed by the power grid system;
h5, according to the arrangement sequence of the electric loads in the electric load sets corresponding to the electric load types, respectively extracting the electric loads ranked next from the electric load sets corresponding to the electric load types, and processing the extracted electric loads according to the method of the step H4 until the electric loads ranked last are extracted.
4. The power transmission scheduling management method based on power consumption terminal load data analysis according to claim 1, wherein: in the step 6, the matching electric loads are classified into overvoltage matching electric loads, undervoltage matching electric loads and normal matching electric loads, and the specific classification method comprises the following steps:
d1, numbering matched electric loads accessed to the power grid system according to the distances from the power grid branch where the electric loads are located to the power supply end from near to far, and respectively marking the matched electric loads as 1,2, a.
D2, forming an actual operating voltage set V (V1, V2, Vi, V.., Vn) corresponding to each matching electric load into an actual operating voltage set V (V1, V2, Vi.., V.., Vn), wherein Vi is expressed as the actual operating voltage corresponding to the ith matching electric load;
d3: comparing the actual operation voltage set of the matched electric loads with the rated operation voltage range corresponding to each matched electric load, if the actual operation voltage corresponding to a certain matched electric load is less than the lower limit value of the rated operation voltage range corresponding to the matched electric load, indicating that the matched electric load is under-voltage, the matching power load is marked as an under-voltage matching power load, if the actual operating voltage corresponding to a certain matching power load is larger than the upper limit value of the rated operating voltage range corresponding to the matching power load, the matching power load is indicated to be in overvoltage, the matching power load is marked as an overvoltage matching power load, if the actual operating voltage corresponding to a certain matching power load is within the range of the rated operating voltage corresponding to the matching power load, the operating voltage of the matched electric load is normal, and the matched electric load is marked as a normal matched electric load.
5. The power transmission scheduling management method based on power consumption terminal load data analysis according to claim 1, wherein: in the step 7, the intelligent electric energy scheduling is performed on each under-voltage matching electric load, and the specific scheduling method is as follows:
f1, acquiring the number corresponding to each under-voltage matching electric load, and sequencing the under-voltage matching electric loads according to the sequence of the numbers from small to large to obtain the sequencing result corresponding to each under-voltage matching electric load;
f2, sequentially carrying out electric energy intelligent scheduling on the under-voltage matching electric loads according to the sequencing result corresponding to the under-voltage matching electric loads, and specifically executing the following steps:
f21, extracting the undervoltage matching electric loads arranged at the first position from the sequencing results corresponding to the undervoltage matching electric loads, and acquiring the positions of the power grid branches where the undervoltage matching electric loads are arranged;
f22, judging whether an overvoltage matching power load and a normal matching power load exist in front of the power network branch position of the undervoltage matching power load according to the position of the power network branch of the undervoltage matching power load, if only the overvoltage matching power load exists or only the normal matching power load exists, marking the overvoltage matching power load as a target overvoltage matching power load, marking the normal matching power load as a target normal matching power load, and extracting all target overvoltage matching power loads or all target normal matching power loads corresponding to the undervoltage matching power load;
f23, sorting all target overvoltage matching electric loads or all target normal matching electric loads corresponding to the extracted undervoltage matching electric loads according to the sequence from near to far from the undervoltage matching electric loads to obtain a target overvoltage matching electric load sorting result or a target normal matching electric load sorting result corresponding to the undervoltage matching electric loads, selecting the target overvoltage matching electric loads from the target overvoltage matching electric load sorting result for electric power scheduling or selecting the target normal matching electric loads from the target normal matching electric load sorting result for electric power scheduling according to the target overvoltage matching electric loads, and marking the selected target overvoltage matching electric loads or target normal matching electric loads as scheduling electric loads;
f24, after the power dispatching of the undervoltage matching power loads ranked at the first position is finished, recording the serial numbers of the dispatching power loads, extracting the undervoltage matching power loads ranked at the next position from the sorting results corresponding to the undervoltage matching power loads until the undervoltage matching power loads ranked at the last position are extracted, further carrying out the power dispatching on the extracted undervoltage matching power loads according to the method of the steps F22-F23, and simultaneously rejecting all dispatching power loads corresponding to the undervoltage matching power loads which are subjected to the power dispatching before in the dispatching process.
6. The power transmission scheduling management method based on the analysis of the power consumption terminal load data according to claim 5, characterized in that: in the process of selecting a target overvoltage matching electric load from the target overvoltage matching electric load sorting result or selecting a target normal matching electric load from the target normal matching electric load sorting result for electric power scheduling in the F23, when the target overvoltage matching electric load is selected for electric power scheduling, the specific scheduling method is to perform current reduction operation on the power network branch corresponding to the selected target overvoltage matching electric load, at this time, obtain the rated current range corresponding to the target overvoltage matching electric load, and reduce the current of the power network branch corresponding to the target overvoltage matching electric load to the rated current range corresponding to the target overvoltage matching electric load.
7. The power transmission scheduling management method based on power consumption terminal load data analysis according to claim 6, wherein: when a target standard matching electric load is selected for electric power scheduling, the specific scheduling method comprises the steps of carrying out current reduction operation on a power grid branch corresponding to the selected target standard matching electric load, obtaining a lower limit value of a rated current range corresponding to the target standard matching electric load at the moment, and reducing the current of the power grid branch corresponding to the target standard matching electric load to the lower limit value of the rated current range corresponding to the target standard matching electric load.
8. The power transmission scheduling management method based on power consumption terminal load data analysis according to claim 5, wherein: and F22, judging whether an overvoltage matching power utilization load and a normal matching power utilization load exist in front of the power network branch position of the undervoltage matching power utilization load according to the position of the power network branch of the undervoltage matching power utilization load, if the overvoltage matching power utilization load and the normal matching power utilization load exist at the same time, counting all the existing overvoltage matching power utilization loads, and performing power dispatching on all the counted overvoltage matching power utilization loads according to the method of the steps F23-F24.
9. A scheduling management platform for executing the power transmission scheduling management method based on power consumption terminal load data analysis of claim 1, wherein: the scheduling management platform comprises a processor, a machine-readable storage medium and a network interface, wherein the machine-readable storage medium, the network interface and the processor are connected through a bus system, the network interface is used for being in communication connection with at least one power transmission scheduling management device, the machine-readable storage medium is used for storing programs, instructions or codes, and the processor is used for executing the programs, the instructions or the codes in the machine-readable storage medium so as to execute the power transmission scheduling management method based on power consumption terminal load data analysis according to any one of claims 1 to 8.
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