CN114123180A - User demand side power distribution network planning method based on multi-load optimal configuration - Google Patents
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Abstract
The invention discloses a planning method of a power distribution network on the user demand side based on multi-load optimized configuration, which obtains the average daily energy consumption and electric quantity of each enterprise user in each manufacturing type industry in an industrial production area by obtaining the historical productivity records of each enterprise user in each manufacturing type industry in the industrial production area, analyzes the estimated daily average transferred electric quantity of the power distribution network in the industrial production area, and performs corresponding estimated electric quantity transfer, thereby improving the power supply efficiency of the power distribution network in a smart power grid, ensuring the safe and reliable operation of the power distribution network in the smart power grid, and simultaneously performs corresponding planning treatment measures according to the electric energy quality of each power distribution branch of each enterprise user in each manufacturing type industry in the industrial production area, thereby improving the production continuity and efficiency of the enterprise users, reducing the production cost of the enterprise users, and obtaining the actual power consumption of each enterprise user in each manufacturing type industry for producing a single product, and further, the electric quantity management accuracy of the smart power grid is improved.
Description
Technical Field
The invention relates to the technical field of power distribution network planning, in particular to a user demand side power distribution network planning method based on multi-load optimal configuration.
Background
At the load end of distribution network, along with the continuous promotion of smart power grids construction, more and more data acquisition equipment can collect enterprise user's power consumption condition. Enterprise users of different manufacturing type industries have great difference in daily energy consumption and power consumption. Therefore, the management service on the demand side of the user must be continuously optimized, and the important goal of long-term planning of the power distribution network of the power department is realized.
The existing power distribution network planning method in the smart power grid basically adopts a centralized and unified power supply mode, management service cannot be performed according to the power consumption requirements of enterprise users of different manufacturing types, so that the load pressure of the power distribution network in the smart power grid is increased day by day, even overload operation occurs, loss caused by large-area power failure is caused, the power supply efficiency of the power distribution network in the smart power grid is seriously affected, the power distribution network in the smart power grid cannot operate safely and reliably, and the economic benefit of the smart power grid is reduced;
the power quality of a power distribution branch circuit of an enterprise user is not considered in planning power supply of a power distribution network in the existing intelligent power grid, and the problems of load downtime or fault of the enterprise user, reduction of product yield and overhigh power loss caused by poor power quality exist, so that the enterprise user can not normally produce and operate, the production continuity and efficiency of the enterprise user are seriously influenced, and the production cost of the enterprise user is further increased.
In order to solve the problems, a power distribution network planning method on the user demand side based on multi-load optimal configuration is designed.
Disclosure of Invention
In view of the problems in the prior art, the invention provides a user demand side power distribution network planning method based on multi-load optimization configuration, and solves the problems in the background art.
In order to achieve the above objects and other objects, the present invention adopts the following technical solutions:
a user demand side power distribution network planning method based on multi-load optimal configuration comprises the following steps:
acquiring manufacturing type industries corresponding to enterprise users in an industrial production area, and counting the enterprise users in the manufacturing type industries in the industrial production area, wherein the enterprise users in the manufacturing type industries in the industrial production area are respectively provided with corresponding numbers;
acquiring historical capacity records of each enterprise user in each manufacturing type industry in the industrial production area, and analyzing the unit time capacity of each enterprise user in each manufacturing type industry in the industrial production area;
extracting the daily working duration set by each enterprise user in each manufacturing type industry in the industrial production area to obtain the average daily energy consumption and electric quantity of each enterprise user in each manufacturing type industry in the industrial production area, analyzing the estimated daily average power consumption and electric quantity of the power distribution network in the industrial production area, and performing corresponding estimated power consumption and electric quantity calling;
detecting voltage harmonic waves of power distribution branches of enterprise users in each manufacturing type industry in an industrial production area in a set time period, and analyzing voltage fluctuation indexes of the power distribution branches of the enterprise users in each manufacturing type industry in the industrial production area;
detecting power grid parameters of power distribution branches of enterprise users in each manufacturing type industry in an industrial production area in each time period, and analyzing average power grid parameter deviation values of the power distribution branches of the enterprise users in each manufacturing type industry in the industrial production area;
comprehensively analyzing the power quality of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area, comparing the power quality with the standard power quality of each manufacturing type industry respectively, and carrying out corresponding planning treatment measures;
acquiring the actual power consumption and the actual capacity of each enterprise user in each manufacturing type industry in an industrial production area in each set time period in working time, and analyzing the actual power consumption of each enterprise user in each manufacturing type industry for producing a single product;
and extracting standard power consumption required by each enterprise user for producing a single product in each manufacturing type industry in the industrial production area, and performing corresponding processing after comparing and analyzing the power consumption.
Further, the analyzing the unit time capacity of each enterprise user in each manufacturing type industry in the industrial production area according to the obtained historical capacity record of each enterprise user in each manufacturing type industry in the industrial production area includes:
obtaining historical capacity records of each enterprise user in each manufacturing type industry in the industrial production area, extracting capacity data of each day in the historical capacity records of each enterprise user in each manufacturing type industry in the industrial production area, and marking the capacity data of each day in the historical capacity records of each enterprise user in each manufacturing type industry in the industrial production area as xfaijWherein f is 1,2, a., u, i is 1,2, a., n, j is 1,2, a., m;
extracting the working time t of each day in the historical productivity records of each enterprise user in each manufacturing type industry in the industrial production areafaijAnalyzing the capacity per unit time of each enterprise user in each manufacturing type industry in the industrial production area
Wherein u is expressed as the number of days taken from the historical capacity record of the enterprise user.
Further, the method comprises the following specific steps of extracting daily working time set by each enterprise user in each manufacturing type industry in the industrial production area to obtain average daily energy consumption and electric quantity of each enterprise user in each manufacturing type industry in the industrial production area, and analyzing estimated daily average calling electric quantity of a power distribution network in the industrial production area:
extracting the daily working duration set by each enterprise user in each manufacturing type industry in the industrial production area, and marking the daily working duration set by each enterprise user in each manufacturing type industry in the industrial production area as Taij；
Obtaining the standard power consumption required by each enterprise user in each manufacturing type industry to produce a single product, and obtaining the standard power consumption required by each manufacturing type industryStandard power consumption q required by each enterprise user to produce a single productSign boardAijCapacity per unit time x for each enterprise user in each manufacturing type industry in an industrial production areaSheetaijSubstitution formula
Obtaining the average daily energy consumption and electric quantity of each enterprise user in each manufacturing type industry in the industrial production area
Wherein mu is a compensation coefficient of daily energy consumption and electric quantity of the enterprise user;
and adding the average daily production energy consumption and electric quantity of each enterprise user in each manufacturing type industry in the industrial production area to obtain the estimated daily average calling electric quantity of the power distribution network in the industrial production area.
Further, after the step of detecting the voltage harmonic of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area in a set time period, the method comprises the following steps:
extracting standard voltage harmonic waves stored in a storage database, comparing the voltage harmonic waves of the power distribution branch circuits of the enterprise users in the manufacturing type industries in the industrial production area in a set time period with the stored standard voltage harmonic waves, and analyzing the voltage fluctuation index of the power distribution branch circuits of the enterprise users in the manufacturing type industries in the industrial production area according to the comparison result
Further, the analysis method of the average power grid parameter deviation value of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area is as follows:
detecting power grid parameters of power distribution branches of enterprise users in various manufacturing type industries in an industrial production area in various time periods, wherein the power grid parameters comprise power grid frequency, power supply voltage, power supply current and three-phase voltage unbalance;
the power grid frequency, the power supply voltage and the power distribution branch of each enterprise user in each manufacturing type industry in each time period in the industrial production area,The unbalance degrees of the supply current and the three-phase voltage are respectively marked as k1aijts、k2aijts、k3aijts、k4aijtsWherein s1, 2,. and l;
obtaining the average power grid frequency of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area through an average value calculation formula
Average supply voltage
Average supply current
Mean three-phase voltage unbalance
Comparing the average power grid frequency, the average power supply voltage, the average power supply current and the average three-phase voltage unbalance of the power distribution branches of the enterprise users in the manufacturing type industries in the industrial production area with the corresponding standard power grid parameter data to obtain the average power grid frequency deviation value of the power distribution branches of the enterprise users in the manufacturing type industries in the industrial production area
Mean supply voltage deviation value
Mean supply current deviation value
Mean three-phase voltage unbalance deviation value
Further, the analyzing the power quality of the power distribution branch of each enterprise user in each manufacturing type industry in the industrial production area according to the comprehensive analysis comprises:
the voltage fluctuation index of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area
And average grid frequency deviation value of each enterprise user power distribution branch in each manufacturing type industry
Mean supply voltage deviation value
Mean supply current deviation value
Mean three-phase voltage unbalance deviation value
Substituted power quality analysis model
Obtaining the power quality epsilon a of each enterprise user power distribution branch in each manufacturing type industry in the industrial production areaijIn which μ1、μ23、μ4Respectively expressed as the power quality influence weight coefficient, delta k, of the distribution network1aAllow for、Δk2aAllow for、Δk3aAllow for、Δk4aAllow forAnd the set allowable deviation of the power grid frequency, the power supply voltage, the power supply current and the three-phase voltage unbalance degree in the power distribution branch of the enterprise user is respectively expressed.
Further, the comparing according to the standard electric energy quality of each manufacturing type industry and the corresponding planning treatment measures, specifically includes:
and if the power quality of a power distribution branch circuit of a certain enterprise user in a certain manufacturing type industry in the industrial production area is less than the standard power quality of the corresponding manufacturing type industry, carrying out corresponding planning treatment measures by power distribution workers.
Further, the specific obtaining method according to the actual power consumption and the actual capacity of each enterprise user in each manufacturing type industry in the industrial production area in each set time period in the working time is as follows:
the actual power consumption of each enterprise user in each manufacturing type industry in each set time period in working time is obtained through an industrial production area power distribution station, and the actual power consumption of each enterprise user in each manufacturing type industry in each set time period in working time is marked as Q'ha′ijWherein h is 1,2,. and w;
acquiring the actual capacity of each enterprise user in each manufacturing type industry in each set time period in working time through an industrial production area distribution station, and marking the actual capacity of each enterprise user in each manufacturing type industry in each set time period in working time as y'ha′ij；
Analyzing to obtain the actual power consumption of each enterprise user in each manufacturing type industry in the industrial production area for producing single product
Wherein the actual power consumption analysis mode of each enterprise user in each manufacturing type industry for producing single product is
Further, the step of extracting the standard power consumption required by each enterprise user in each manufacturing type industry in the industrial production area to produce a single product comprises the following steps:
comparing the actual power consumption of each enterprise user producing a single product in each manufacturing type industry in the industrial production area with the standard power consumption required by each enterprise user producing a single product in the corresponding manufacturing type industry to obtain the actual power consumption difference of each enterprise user producing a single product in each manufacturing type industry in the industrial production area;
and comparing the actual power consumption difference value of each product produced by each enterprise user in each manufacturing type industry in the industrial production area with the set power consumption allowable error value, and if the actual power consumption difference value of each product produced by a certain enterprise user in a certain manufacturing type industry in the industrial production area is larger than the set power consumption allowable error value, informing the enterprise user in the manufacturing type industry to perform corresponding production adjustment processing.
As described above, the method for planning the distribution network on the user demand side based on the multi-load optimization configuration provided by the invention has at least the following beneficial effects:
according to the planning method for the power distribution network on the user demand side based on multi-load optimal configuration, through counting enterprise users in manufacturing type industries in an industrial production area, historical capacity records of the enterprise users in the manufacturing type industries in the industrial production area are obtained, average daily energy consumption and electric quantity of the enterprise users in the manufacturing type industries in the industrial production area are obtained, the estimated daily average electric quantity of the power distribution network in the industrial production area is analyzed, and corresponding estimated electric quantity is obtained, so that management service is performed according to the electric quantity consumption requirements of the manufacturing type enterprise users, the load pressure of the power distribution network in an intelligent power grid is reduced, the condition of overload operation is avoided, the power supply efficiency of the power distribution network in the intelligent power grid is improved, the safe and reliable operation of the power distribution network in the intelligent power grid is guaranteed, and the economic benefit of the intelligent power grid is increased; meanwhile, the voltage fluctuation indexes and the average power grid parameter deviation values of the power distribution branches of the enterprise users in the manufacturing type industries in the industrial production area are detected, the electric energy quality of the power distribution branches of the enterprise users in the manufacturing type industries in the industrial production area is analyzed, and corresponding planning and processing measures are carried out, so that the problems of load breakdown or fault, product yield reduction and high electric energy loss of the enterprise users are avoided, the enterprise users can be ensured to normally produce and operate, the production continuity and efficiency of the enterprise users are improved, and the production cost of the enterprise users is reduced.
According to the method for planning the power distribution network on the user demand side based on multi-load optimization configuration, the actual power consumption and the actual capacity of each enterprise user in each manufacturing type industry in an industrial production area in each set time period in working time are obtained, the actual power consumption of each enterprise user in each manufacturing type industry in producing a single product is analyzed, and corresponding processing is carried out after comparison and analysis, so that the intelligent power grid can accurately know the actual power consumption condition of the enterprise users, the power management accuracy of the intelligent power grid is improved, and the method has very important effects on energy conservation, emission reduction and economic benefit improvement.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for planning a distribution network on a user demand side according to 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.
Fig. 1 shows a user demand side power distribution network planning method based on multi-load optimization configuration, which includes the following steps:
step S1, obtaining the manufacturing type industry corresponding to each enterprise user in the industrial production area, counting each enterprise user in each manufacturing type industry in the industrial production area, marking each enterprise user in each manufacturing type industry as ai 1,ai 2,...,ai j,...,ai mWherein i is 1, 2.
The manufacturing type industries comprise agricultural and sideline food processing industry, food manufacturing industry, tobacco manufacturing industry, textile industry, wood processing product industry, furniture manufacturing industry, medicine manufacturing industry, plastic product industry and metal product industry.
Step S2, obtaining the historical productivity records of each enterprise user in each manufacturing type industry in the industrial production area, and analyzing the unit time productivity of each enterprise user in each manufacturing type industry in the industrial production area.
In a preferred embodiment of the present application, the analyzing the unit-time capacity of each enterprise user in each manufacturing type industry in the industrial production area according to the historical capacity records of each enterprise user in each manufacturing type industry in the industrial production area includes:
s21, obtaining the historical productivity record of each enterprise user in each manufacturing type industry in the industrial production area, extracting the productivity data of each day in the historical productivity record of each enterprise user in each manufacturing type industry in the industrial production area, and marking the productivity data of each day in the historical productivity record of each enterprise user in each manufacturing type industry in the industrial production area as xfaijWherein f is 1,2,. cndot, u;
s22, extracting the working time t of each day in the historical capacity record of each enterprise user in each manufacturing type industry in the industrial production areafaijAnalyzing the capacity per unit time of each enterprise user in each manufacturing type industry in the industrial production area
Wherein u is expressed as the number of days taken from the historical capacity record of the enterprise user.
And step S3, extracting the daily working duration set by each enterprise user in each manufacturing type industry in the industrial production area, obtaining the average daily energy consumption and electric quantity of each enterprise user in each manufacturing type industry in the industrial production area, analyzing the estimated daily average power consumption and electric quantity of the power distribution network in the industrial production area, and performing corresponding estimated power consumption and electric quantity calling.
In the technical scheme of this application preferred, the electric quantity analysis mode is specifically as follows is all transferred to the prediction day of industry delivery area distribution network:
s31, extracting the daily working duration set by each enterprise user in each manufacturing type industry in the industrial production area, and marking the daily working duration set by each enterprise user in each manufacturing type industry in the industrial production area as Taij；
S32, obtaining the standard power consumption needed by each enterprise user in each manufacturing type industry to produce single product, and obtaining the standard power consumption q needed by each enterprise user in each manufacturing type industry to produce single productSign boardAijCapacity per unit time x for each enterprise user in each manufacturing type industry in an industrial production areaSheetaijSubstitution formula
Obtaining the average daily energy consumption and electric quantity of each enterprise user in each manufacturing type industry in the industrial production area
Wherein mu is a compensation coefficient of daily energy consumption and electric quantity of the enterprise user;
and S33, adding the average daily energy consumption and electric quantity of each enterprise user in each manufacturing type industry in the industrial production area to obtain the estimated daily average calling electric quantity of the power distribution network in the industrial production area.
It should be noted that, by obtaining the historical productivity records of each enterprise user in each manufacturing type industry in the industrial production area, the average daily energy consumption and electric quantity of each enterprise user in each manufacturing type industry in the industrial production area are obtained, the estimated daily average power consumption and electric quantity of the power distribution network in the industrial production area is analyzed, and the corresponding estimated electric quantity is obtained, so that management service is performed according to the electric quantity consumption requirements of the manufacturing type enterprise users, the load pressure of the power distribution network in the smart power grid is reduced, the overload operation condition is avoided, the power supply efficiency of the power distribution network in the smart power grid is improved, the safe and reliable operation of the power distribution network in the smart power grid is ensured, and the economic benefit of the smart power grid is increased.
And step S4, detecting the voltage harmonic of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area in a set time period, and analyzing the voltage fluctuation index of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area.
In a preferred embodiment of the present invention, after the step of detecting the voltage harmonic of the power distribution branch of each enterprise user in each manufacturing type industry in the industrial production area in a set time period, the method includes:
extracting standard voltage harmonic waves stored in a storage database, comparing the voltage harmonic waves of the power distribution branch circuits of the enterprise users in the manufacturing type industries in the industrial production area in a set time period with the stored standard voltage harmonic waves, and analyzing the voltage fluctuation index of the power distribution branch circuits of the enterprise users in the manufacturing type industries in the industrial production area according to the comparison result
The voltage fluctuation index of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area is obtained according to the analysis of the comparison result, and the method comprises the following specific steps:
s41, detecting voltage harmonics of each enterprise user power distribution branch in each manufacturing type industry in an industrial production area in a set time period, and dividing the voltage harmonics of each enterprise user power distribution branch in each manufacturing type industry in the set time period into sub voltage waveforms according to complete waveforms;
s42, obtaining the wave peak value and the wave valley value of each sub-voltage waveform in each enterprise user power distribution branch in each manufacturing type industry, and respectively marking the wave peak value and the wave valley value of each sub-voltage waveform in each enterprise user power distribution branch in each manufacturing type industry as Vraij、Vr′aijWherein r is 1, 2.. g;
s43, comparing the wave peak value of each sub-voltage waveform in each enterprise user power distribution branch in each manufacturing type industry with the wave peak value of standard voltage harmonic wave to obtain the wave peak difference value delta V of each sub-voltage waveform in each enterprise user power distribution branch in each manufacturing type industryraij；
S44, matching the users of each enterprise in each manufacturing type industryThe valley value of each sub-voltage waveform in the electric branch is compared with the valley value of the standard voltage harmonic wave to obtain the valley difference value delta V of each sub-voltage waveform in each enterprise user power distribution branch in each manufacturing type industryr′aij；
S45, analyzing the voltage fluctuation index of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area according to the power industry fluctuation index analysis model
Wherein VSign board、V′Sign boardRespectively expressed as the peak value and the trough value of the standard voltage harmonic.
And step S5, detecting the power grid parameters of the power distribution branches of the enterprise users in the manufacturing type industries in the industrial production area in each time period, and analyzing the average power grid parameter deviation value of the power distribution branches of the enterprise users in the manufacturing type industries in the industrial production area.
In a preferred technical solution of the present application, an analysis manner of an average power grid parameter deviation value of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area is as follows:
s51, detecting power grid parameters of each enterprise user power distribution branch in each manufacturing type industry in an industrial production area in each time period, wherein the power grid parameters comprise power grid frequency, power supply voltage, power supply current and three-phase voltage unbalance degree;
s52, marking the power grid frequency, the power supply voltage, the power supply current and the three-phase voltage unbalance of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area as k respectively1aijts、k2aijts、k3aijts、k4aijtsWherein s1, 2,. and l;
s53, obtaining the average power grid frequency of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area through an average value calculation formula
Average supply voltage
Average supply current
Mean three-phase voltage unbalance
S54, comparing the average power grid frequency, the average power supply voltage, the average power supply current and the average three-phase voltage unbalance of the power distribution branch circuits of the enterprise users in the manufacturing type industries in the industrial production area with the corresponding standard power grid parameter data respectively to obtain the average power grid frequency deviation value of the power distribution branch circuits of the enterprise users in the manufacturing type industries in the industrial production area
Mean supply voltage deviation value
Mean supply current deviation value
Mean three-phase voltage unbalance deviation value
In a preferred technical solution of the present application, the specific detection method for detecting the three-phase voltage imbalance of the power distribution branch of each enterprise user in each manufacturing type industry in the industrial production area in the power grid parameter of each time period includes:
s511, detecting three line voltages of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area in each time period, and marking the three line voltages of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area in each time period as k4aijtsσ1、k4aijtsσ2、k4aijtsσ3；
S512, analyzing the three-phase voltage of each enterprise user power distribution branch in each manufacturing type industry in each industrial production area in each time period
S513, substituting the three-phase voltage of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area in each time period into the three-phase voltage unbalance degree analysis model
Obtaining the unbalance degree k of the three-phase voltage in the power grid parameters of each time period of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area4aijts。
And step S6, comprehensively analyzing the power quality of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area, comparing the power quality with the standard power quality of each manufacturing type industry respectively, and carrying out corresponding planning treatment measures.
In a preferred embodiment of the present application, the analyzing the power quality of the power distribution branch of each enterprise user in each manufacturing type industry in the industrial production area includes:
the voltage fluctuation index of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area
And average grid frequency deviation value of each enterprise user power distribution branch in each manufacturing type industry
Mean supply voltage deviation value
Mean supply current deviation value
Mean three-phase voltage unbalance deviation value
Substituted power quality analysis model
Obtaining the power quality epsilon a of each enterprise user power distribution branch in each manufacturing type industry in the industrial production areaijIn which μ1、μ23、μ4Respectively expressed as the power quality influence weight coefficient, delta k, of the distribution network1aAllow for、Δk2aAllow for、Δk3aAllow for、Δk4aAllow forAnd the set allowable deviation of the power grid frequency, the power supply voltage, the power supply current and the three-phase voltage unbalance degree in the power distribution branch of the enterprise user is respectively expressed.
In a preferred embodiment of the present application, the comparing and performing the corresponding planning processing measures according to the standard power quality of each manufacturing type industry specifically includes:
the standard electric energy quality of each manufacturing type industry stored in the storage database is extracted, the electric energy quality of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area is compared with the standard electric energy quality of the corresponding manufacturing type industry, and if the electric energy quality of a certain enterprise user power distribution branch in a certain manufacturing type industry in the industrial production area is smaller than the standard electric energy quality of the corresponding manufacturing type industry, corresponding planning treatment measures are carried out through power distribution workers.
It should be noted that, the present invention analyzes the power quality of the power distribution branch circuits of the enterprise users in each manufacturing type industry in the industrial production area by detecting the voltage fluctuation index and the average power grid parameter deviation value of the power distribution branch circuits of the enterprise users in each manufacturing type industry in the industrial production area, and performs corresponding planning processing measures, thereby avoiding the problems of load downtime or fault of the enterprise users, reduced product yield, and excessively high power consumption, ensuring that the enterprise users can normally produce and operate, further improving the production continuity and efficiency of the enterprise users, and reducing and increasing the production cost of the enterprise users.
Step S7, the actual power consumption and the actual capacity of each enterprise user in each manufacturing type industry in the industrial production area in each set time period in the working time are obtained, and the actual power consumption of each enterprise user in each manufacturing type industry in the production of a single product is analyzed.
In a preferred technical solution of the present application, the specific obtaining manner according to the actual power consumption and the actual capacity of each enterprise user in each manufacturing type industry in the industrial production area in each set time period during the working time is as follows:
s71, acquiring the actual power consumption of each enterprise user in each manufacturing type industry in each set time period in the working hours through an industrial production area distribution station, and marking the actual power consumption of each enterprise user in each manufacturing type industry in each set time period in the working hours as Q'ha′ijWherein h is 1,2,. and w;
s72, acquiring the actual capacity of each enterprise user in each manufacturing type industry in each set time period in the working time through the power distribution station of the industrial production area, and marking the actual capacity of each enterprise user in each manufacturing type industry in each set time period in the working time as y'ha′ij；
S73, analyzing and obtaining the actual power consumption of each enterprise user producing single product in each manufacturing type industry in the industrial production area
Wherein the actual power consumption analysis mode of each enterprise user in each manufacturing type industry for producing single product is
And step S8, extracting standard power consumption required by each enterprise user in each manufacturing type industry in the industrial production area to produce a single product, and performing corresponding processing after comparative analysis.
In a preferred embodiment of the present invention, after the step of extracting the standard power consumption required by each enterprise user for producing a single product in each manufacturing type industry in the industrial production area, the method includes:
s81, comparing the actual power consumption of each enterprise user in each manufacturing type industry in the industrial production area for producing a single product with the standard power consumption of each enterprise user in the corresponding manufacturing type industry for producing a single product to obtain the actual power consumption difference of each enterprise user in each manufacturing type industry in the industrial production area for producing a single product;
and S82, comparing the difference value of the actual power consumption of each product produced by each enterprise user in each manufacturing type industry in the industrial production area with the set allowable power consumption error value, and if the difference value of the actual power consumption of each product produced by each enterprise user in a certain manufacturing type industry in the industrial production area is larger than the set allowable power consumption error value, informing the enterprise users in the manufacturing type industry to perform corresponding production adjustment processing.
It should be noted that the actual power consumption and the actual capacity of each enterprise user in each manufacturing type industry in the industrial production area in each set time period in the working time are obtained, the actual power consumption of each enterprise user in each manufacturing type industry in each single product is analyzed, and corresponding processing is performed after comparison and analysis, so that the intelligent power grid can accurately know the actual power consumption condition of the enterprise users, the power management accuracy of the intelligent power grid is improved, and the intelligent power grid has very important effects on energy conservation, emission reduction and economic benefit improvement.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.
Claims (9)
1. A user demand side power distribution network planning method based on multi-load optimal configuration is characterized by comprising the following steps: the method comprises the following steps:
acquiring manufacturing type industries corresponding to enterprise users in an industrial production area, and counting the enterprise users in the manufacturing type industries in the industrial production area, wherein the enterprise users in the manufacturing type industries in the industrial production area are respectively provided with corresponding numbers;
acquiring historical capacity records of each enterprise user in each manufacturing type industry in the industrial production area, and analyzing the unit time capacity of each enterprise user in each manufacturing type industry in the industrial production area;
extracting the daily working duration set by each enterprise user in each manufacturing type industry in the industrial production area to obtain the average daily energy consumption and electric quantity of each enterprise user in each manufacturing type industry in the industrial production area, analyzing the estimated daily average power consumption and electric quantity of the power distribution network in the industrial production area, and performing corresponding estimated power consumption and electric quantity calling;
detecting voltage harmonic waves of power distribution branches of enterprise users in each manufacturing type industry in an industrial production area in a set time period, and analyzing voltage fluctuation indexes of the power distribution branches of the enterprise users in each manufacturing type industry in the industrial production area;
detecting power grid parameters of power distribution branches of enterprise users in each manufacturing type industry in an industrial production area in each time period, and analyzing average power grid parameter deviation values of the power distribution branches of the enterprise users in each manufacturing type industry in the industrial production area;
comprehensively analyzing the power quality of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area, comparing the power quality with the standard power quality of each manufacturing type industry respectively, and carrying out corresponding planning treatment measures;
acquiring the actual power consumption and the actual capacity of each enterprise user in each manufacturing type industry in an industrial production area in each set time period in working time, and analyzing the actual power consumption of each enterprise user in each manufacturing type industry for producing a single product;
and extracting standard power consumption required by each enterprise user for producing a single product in each manufacturing type industry in the industrial production area, and performing corresponding processing after comparing and analyzing the power consumption.
2. The multi-load optimization configuration-based user demand side power distribution network planning method according to claim 1, characterized in that: the analyzing the unit time capacity of each enterprise user in each manufacturing type industry in the industrial production area according to the obtained historical capacity record of each enterprise user in each manufacturing type industry in the industrial production area comprises the following steps:
obtaining historical capacity records of each enterprise user in each manufacturing type industry in the industrial production area, extracting capacity data of each day in the historical capacity records of each enterprise user in each manufacturing type industry in the industrial production area, and marking the capacity data of each day in the historical capacity records of each enterprise user in each manufacturing type industry in the industrial production area as xfaijWherein i 1,2,., n, j 1,2,., m, f 1,2,., u;
extracting the working time t of each day in the historical productivity records of each enterprise user in each manufacturing type industry in the industrial production areafaijAnalyzing the capacity per unit time of each enterprise user in each manufacturing type industry in the industrial production area
Wherein u is expressed as the number of days taken from the historical capacity record of the enterprise user.
3. The multi-load optimization configuration-based user demand side power distribution network planning method according to claim 1, characterized in that: the method comprises the following steps of extracting daily working duration set by each enterprise user in each manufacturing type industry in the industrial production area, obtaining average daily energy consumption and electric quantity of each enterprise user in each manufacturing type industry in the industrial production area, and analyzing estimated daily average power consumption and electric quantity of a power distribution network in the industrial production area, wherein the method specifically comprises the following steps:
extracting the daily working duration set by each enterprise user in each manufacturing type industry in the industrial production area, and marking the daily working duration set by each enterprise user in each manufacturing type industry in the industrial production area as Taij；
Obtaining the standard power consumption required by each enterprise user in each manufacturing type industry to produce a single product, and obtaining the standard power consumption q required by each enterprise user in each manufacturing type industry to produce a single productSign boardAijCapacity per unit time x for each enterprise user in each manufacturing type industry in an industrial production areaSheetaijSubstitution formula
Obtaining the average daily energy consumption and electric quantity of each enterprise user in each manufacturing type industry in the industrial production area
Wherein mu is a compensation coefficient of daily energy consumption and electric quantity of the enterprise user;
and adding the average daily production energy consumption and electric quantity of each enterprise user in each manufacturing type industry in the industrial production area to obtain the estimated daily average calling electric quantity of the power distribution network in the industrial production area.
4. The multi-load optimization configuration-based user demand side power distribution network planning method according to claim 1, characterized in that: after the step of detecting the voltage harmonic of each enterprise user power distribution branch circuit in each manufacturing type industry in an industrial production area in a set time period, the method comprises the following steps:
extracting standard voltage harmonic waves stored in a storage database, comparing the voltage harmonic waves of the power distribution branch circuits of the enterprise users in the manufacturing type industries in the industrial production area in a set time period with the stored standard voltage harmonic waves, and analyzing the voltage fluctuation index of the power distribution branch circuits of the enterprise users in the manufacturing type industries in the industrial production area according to the comparison result
5. The multi-load optimization configuration-based user demand side power distribution network planning method according to claim 1, characterized in that: the analysis method of the average power grid parameter deviation value of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area comprises the following steps:
detecting power grid parameters of power distribution branches of enterprise users in various manufacturing type industries in an industrial production area in various time periods, wherein the power grid parameters comprise power grid frequency, power supply voltage, power supply current and three-phase voltage unbalance;
will be in industrial production areaThe power grid frequency, the power supply voltage, the power supply current and the three-phase voltage unbalance of each enterprise user power distribution branch in each time period in each manufacturing type industry are respectively marked as k1aijts、k2aijts、k3aijts、k4aijtsWherein s1, 2,. and l;
obtaining the average power grid frequency of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area through an average value calculation formula
Average supply voltage
Average supply current
Mean three-phase voltage unbalance
Comparing the average power grid frequency, the average power supply voltage, the average power supply current and the average three-phase voltage unbalance of the power distribution branches of the enterprise users in the manufacturing type industries in the industrial production area with the corresponding standard power grid parameter data to obtain the average power grid frequency deviation value of the power distribution branches of the enterprise users in the manufacturing type industries in the industrial production area
Mean supply voltage deviation value
Mean supply current deviation value
Mean three-phase voltage unbalance deviation value
6. The multi-load optimization configuration-based user demand side power distribution network planning method according to claim 1, characterized in that: the method for comprehensively analyzing the power quality of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area comprises the following steps:
the voltage fluctuation index of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area
And average grid frequency deviation value of each enterprise user power distribution branch in each manufacturing type industry
Mean supply voltage deviation value
Mean supply current deviation value
Mean three-phase voltage unbalance deviation value
Substituted power quality analysis model
Obtaining the power quality epsilon a of each enterprise user power distribution branch in each manufacturing type industry in the industrial production areaijIn which μ1、μ23、μ4Respectively expressed as the power quality influence weight coefficient, delta k, of the distribution network1aAllow for、Δk2aAllow for、Δk3aAllow for、Δk4aAllow forRespectively expressed as power distribution branches of enterprise usersAnd setting allowable deviation of the unbalance degrees of the power grid frequency, the power supply voltage, the power supply current and the three-phase voltage in the circuit.
7. The multi-load optimization configuration-based user demand side power distribution network planning method according to claim 1, characterized in that: the method specifically comprises the following steps of comparing the standard electric energy quality with the standard electric energy quality of each manufacturing type industry respectively, and carrying out corresponding planning treatment measures:
and if the power quality of a power distribution branch circuit of a certain enterprise user in a certain manufacturing type industry in the industrial production area is less than the standard power quality of the corresponding manufacturing type industry, carrying out corresponding planning treatment measures by power distribution workers.
8. The multi-load optimization configuration-based user demand side power distribution network planning method according to claim 1, characterized in that: the specific obtaining mode is that according to the actual power consumption and the actual capacity of each enterprise user in each manufacturing type industry in the industrial production area in each set time period in the working time, the actual power consumption and the actual capacity are obtained:
the actual power consumption of each enterprise user in each manufacturing type industry in each set time period in working time is obtained through an industrial production area power distribution station, and the actual power consumption of each enterprise user in each manufacturing type industry in each set time period in working time is marked as Q'ha′ijWherein h is 1,2,. and w;
acquiring the actual capacity of each enterprise user in each manufacturing type industry in each set time period in working time through an industrial production area distribution station, and marking the actual capacity of each enterprise user in each manufacturing type industry in each set time period in working time as y'ha′ij；
Analyzing to obtain the actual power consumption of each enterprise user in each manufacturing type industry in the industrial production area for producing single product
Wherein the actual power consumption analysis mode of each enterprise user in each manufacturing type industry for producing single product is
9. The multi-load optimization configuration-based user demand side power distribution network planning method according to claim 1, characterized in that: the step of extracting the standard power consumption required by each enterprise user to produce a single product in each manufacturing type industry in the industrial production area comprises the following steps:
comparing the actual power consumption of each enterprise user producing a single product in each manufacturing type industry in the industrial production area with the standard power consumption required by each enterprise user producing a single product in the corresponding manufacturing type industry to obtain the actual power consumption difference of each enterprise user producing a single product in each manufacturing type industry in the industrial production area;
and comparing the actual power consumption difference value of each product produced by each enterprise user in each manufacturing type industry in the industrial production area with the set power consumption allowable error value, and if the actual power consumption difference value of each product produced by a certain enterprise user in a certain manufacturing type industry in the industrial production area is larger than the set power consumption allowable error value, informing the enterprise user in the manufacturing type industry to perform corresponding production adjustment processing.
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