CN110417058B - Grid-connected interface monitoring system for distributed power generation access to public power grid - Google Patents
Grid-connected interface monitoring system for distributed power generation access to public power grid Download PDFInfo
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- CN110417058B CN110417058B CN201910721727.1A CN201910721727A CN110417058B CN 110417058 B CN110417058 B CN 110417058B CN 201910721727 A CN201910721727 A CN 201910721727A CN 110417058 B CN110417058 B CN 110417058B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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Abstract
The invention discloses a grid-connected interface monitoring system for accessing distributed power generation to a public power grid, which comprises a data monitoring module, a data analysis module, a data summarization unit, an electric energy calculation unit, a processor, a display unit, a storage unit, a management unit, a pricing model and an alarm unit, wherein the data monitoring module is used for monitoring the data of the public power grid; the power supply voltage, the harmonic voltage and the electricity consumption of a single month are monitored in real time, and then the data analysis module is used for carrying out data induction processing on the power supply voltage to obtain an initial floating ratio F1 and a high floating ratio F2 of the single month; meanwhile, the harmonic voltage is analyzed by using a data summarization unit to obtain a first deficit coefficient Qc and a high deficit coefficient Qg; analyzing the valuation electric quantity by using an electric energy calculating unit to obtain a total loss coefficient Qz and floating electricity consumption Yf; then, the pricing unit is combined with pricing rules to obtain the electricity charge after the core; in the process, a power grid company manager and a power utilization user jointly set parameters to influence final charging, so that interaction between the power grid company manager and the power utilization user is realized, and bargaining is jointly carried out.
Description
Technical Field
The invention belongs to the field of power distribution monitoring, and particularly relates to a grid-connected interface monitoring system for accessing distributed power generation to a public power grid.
Background
With the access of a large number of distributed power supplies to a public power grid, the power distribution network is developed into a multi-terminal power supply network from a radial and annular unidirectional power distribution network, and power supplies and power loads are mutually interwoven. The distributed power supply has the characteristics of dispersity, instability, intermittent power generation and the like, so that the problems of operation stability, power supply and distribution efficiency, power quality reduction and the like of a public power grid are caused, and the capacity of the power grid for consuming the distributed power supply is limited.
For a power grid company, user types and access modes of a public power grid are various, the automation degree is different, and most access point switches are not controlled. The obstacle and relay protection generated by power grid management are more complicated; it is not possible to require all distributed power access users, especially 400V access users, to employ highly automated monitoring and communication systems.
For most electric power users, the method can only receive simple power consumption data processed by a power grid company according to monthly statistics, interaction with the power grid is insufficient, and the method cannot grasp in real time that the power quality, harmonic waves and voltage fluctuation of the public power grid can affect the power supply quality of the power grid company; and the user cannot negotiate with the power selling company according to the quality of the electric energy.
Therefore, it is a problem how to adjust the power consumption according to the power supply quality of the power grid company more effectively for the power consumers; in order to solve this technical problem, a solution is now provided.
Disclosure of Invention
The invention aims to provide a grid-connected interface monitoring system for accessing distributed power generation to a public power grid.
The purpose of the invention can be realized by the following technical scheme:
the grid-connected interface monitoring system for accessing distributed power generation to a public power grid comprises a data monitoring module, a data analysis module, a data summarization unit, an electric energy calculation unit, a processor, a display unit, a storage unit, a management unit, a pricing model and an alarm unit;
the data monitoring module is used for monitoring the power supply voltage and the harmonic voltage of a power supply network in real time and transmitting the power supply voltage to the data analysis module; the data monitoring module is also used for monitoring the power consumption of a user for one month and transmitting the power consumption and the harmonic voltage to the data summarizing unit;
the data analysis module is used for carrying out data induction processing on the power supply voltage, and the specific processing steps are as follows:
the method comprises the following steps: continuously monitoring and acquiring the data of the monitored power supply voltage for one month;
step two: acquiring a power supply voltage every preset time T1 to obtain a plurality of power supply voltage data to form a voltage data set Di, wherein i is 1.. n;
step three: calculating to obtain an average value of the voltage data set Di, and marking the average value as a reference value C;
step four: according to the formula
Calculating to obtain a stable inverse value L of the voltage data set Di, entering a stable analysis step to obtain a primary floating ratio F1 and a high floating ratio F2 when L is larger than a preset value,
step five: obtaining the initial floating ratio F1 and the high floating ratio F2 of a single month;
the data analysis module is used for transmitting the initial floating ratio F1 and the high floating ratio F2 to the electric energy calculation unit;
the data summarization unit receives the power consumption and the harmonic voltage transmitted by the data monitoring module, and carries out influence analysis on the harmonic voltage to obtain a primary deficit coefficient Qc and a high deficit coefficient Qg;
the data summarization unit is used for transmitting an initial loss coefficient Qc, a high loss coefficient Qg and power consumption to the electric energy calculation unit, the electric energy calculation unit receives the initial loss coefficient Qc, the high loss coefficient Qg and the power consumption transmitted by the data summarization unit, and the electric energy calculation unit receives an initial floating ratio F1 and a high floating ratio F2 transmitted by the data analysis module;
the electric energy calculating unit is used for carrying out valuation electric quantity analysis on the electric quantity, the initial deficit coefficient Qc, the high deficit coefficient Qg, the initial floating proportion F1 and the high floating proportion F2 to obtain a total deficit coefficient Qz and floating electric quantity Yf;
the electric energy calculating unit is used for transmitting the total loss coefficient Qz, the electricity consumption and the floating electricity consumption Yf to the processor, the processor is used for transmitting the total loss coefficient Qz, the electricity consumption and the floating electricity consumption Yf to the pricing unit, and the pricing unit receives the total loss coefficient Qz, the electricity consumption and the floating electricity consumption Yf transmitted by the processor; the valuation unit is used for carrying out valuation processing on the total loss coefficient Qz, the electricity consumption and the floating electricity consumption Yf by combining with a valuation model, and the specific processing steps are as follows:
SS 10: acquiring a pricing rule of a power grid company where the existing user is located, wherein the pricing rule is a charging rule corresponding to different electricity consumption stages;
SS 20: acquiring the power consumption Yd of a user, and re-evaluating the effective power consumption of the user by combining with the total loss coefficient, wherein the harmonic voltage corresponding to the total loss coefficient has great influence on the actual power consumption quality; the effective power consumption Dy is calculated in the following way:
SS 21: dy { (1-Qz) × (P1) }, where P1 is an average of preset values set by grid managers and preset values set by users, and P1< 1;
SS 30: calculating to obtain the uncore electricity charge Wd corresponding to the electricity consumption according to the value of Dy and the pricing rule of a power grid company where the user is located;
SS 40: calculating floating electric charge Wf corresponding to floating electric consumption Yf according to the pricing rule;
SS 50: calculating the post-nuclear electricity charge Ws according to a formula Ws-Wf P2; and P2 is a preset value, and P2< 1; p2 is the average of preset values set by grid managers and preset values set by users.
Further, the specific steps of the stability analysis in the fourth step of data induction processing are as follows:
s1: acquiring a voltage data set Di;
s2: let i equal to 1;
s3: acquiring corresponding voltage data D1, and substituting D1 into a selection model; the selection model is X1＜|Di-C|＜X2；
S4: will satisfy X1＜|Di-C|＜X2The voltage data of (a) is marked as a primary floating voltage, will satisfy | Di-C|≥X2Voltage data of (a) is marked as a high floating voltage; x1And X2Voltage values set for two users, and X1Less than X2；
S5: repeating steps S3-S4 by making i equal to i + 1;
s6: repeating the step S5 until all the voltage data sets Di are selected, obtaining m1 initial floating voltages and m2 high floating voltages; m1 and m2 are both less than n, and m1+ m2 are not more than n;
s7: and calculating to obtain an initial floating ratio F1 and a high floating ratio F2, wherein F1 is m1/n, and F2 is m 2/n.
Further, the specific analysis steps of the pricing electricity quantity analysis are as follows:
the method comprises the following steps: acquiring the electricity consumption of the month, and marking the electricity consumption as Yd;
step two: obtaining an initial floating ratio F1 and a high floating ratio F2, and calculating the total floating ratio, wherein the specific calculation method comprises the following steps:
s10: assigning an influence coefficient to the initial floating ratio F1 and the high floating ratio F2, marking the influence coefficient of F1 as 0.362, and marking the influence coefficient of F2 as 0.638;
s20: calculating a total floating occupancy ratio Fz according to a formula, wherein Fz is 0.362F 1+ 0.638F 2;
s30: obtaining floating electricity consumption Yf according to a formula Yf-Yd-Fz;
step three: and calculating a total loss coefficient Qz according to the initial loss coefficient Qc and the high loss coefficient Qg, wherein the calculation formula is as follows: qz 0.375 Qc +0.625 Qg.
Further, the pricing unit is used for returning the electricity charges Ws after the electricity is checked to the processor, the processor is used for transmitting the electricity charges Ws after the electricity is checked to the display unit to be displayed in real time, and the processor is used for stamping the time stamp on the electricity charges Ws after the electricity is checked and transmitting the time stamp to the storage unit to be stored.
Further, the specific steps of the impact analysis are as follows:
s100: acquiring harmonic voltage and marking the harmonic voltage as Bx;
s200: firstly, harmonic voltage meeting X is obtained3≤Bx<X4And marking the occurrence duration as an initial loss duration Kc; x3、X4Is two preset voltage values, and X3Less than X4；
S300: then the harmonic voltage is obtained to satisfy that Bx is more than or equal to X2And marking the occurrence time length as a high loss time length Kg;
s400: acquiring the total electricity utilization time Tz of the user in the current month;
s500: calculating to obtain an initial loss coefficient Qc-Kc/Tz according to a formula;
s600: calculating according to the formula to obtain the high deficit coefficient Qg which is Kg/Tz.
The invention has the beneficial effects that:
the method comprises the steps that a data monitoring unit is used for monitoring power supply voltage, harmonic voltage and electricity consumption of a user in real time, and then data induction processing is carried out on the power supply voltage by means of a data analysis module to obtain an initial floating ratio F1 and a high floating ratio F2 of a single month; meanwhile, the harmonic voltage is analyzed by using a data summarization unit, and an initial deficit coefficient Qc and a high deficit coefficient Qg are obtained specifically; then, analyzing the rated electric quantity by using an electric energy calculating unit to obtain a total loss coefficient Qz and floating electricity consumption Yf; finally, the pricing unit is combined with pricing rules to obtain the electricity charge after the core; in the process, a power grid company manager and a power utilization user jointly set parameters to influence final charging, so that mutual interaction between the power grid company manager and the power utilization user is realized, and a joint bargaining is formed; the invention is simple, effective and easy to use.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, the grid-connected interface monitoring system for accessing distributed power generation to a utility grid includes a data monitoring module, a data analysis module, a data summarization unit, an electric energy calculation unit, a processor, a display unit, a storage unit, a management unit, a pricing model and an alarm unit;
the data monitoring module is used for monitoring the power supply voltage and the harmonic voltage of a power supply network in real time and transmitting the power supply voltage to the data analysis module; the data monitoring module is also used for monitoring the electricity consumption of a user in a single month and transmitting the electricity consumption and the harmonic voltage to the data summarizing unit;
the data analysis module is used for carrying out data induction processing on the power supply voltage, and the specific processing steps are as follows:
the method comprises the following steps: continuously monitoring and acquiring the data of the monitored power supply voltage for one month;
step two: acquiring a power supply voltage every preset time T1 to obtain a plurality of power supply voltage data to form a voltage data set Di, wherein i is 1.. n;
step three: calculating to obtain an average value of the voltage data set Di, and marking the average value as a reference value C;
step four: according to the formula
Calculating to obtain a stable inverse value L of the voltage data set Di, and entering a stable analysis step when the L is larger than a preset value, wherein the specific steps are as follows:
s1: acquiring a voltage data set Di;
s2: let i equal to 1;
s3: acquiring corresponding voltage data D1, and substituting D1 into a selection model; the selection model is X1＜|Di-C|＜X2；
S4: will satisfy X1＜|Di-C|＜X2The voltage data of (a) is marked as a primary floating voltage, will satisfy | Di-C|≥X2Voltage data of (a) is marked as a high floating voltage; x1And X2Voltage values set for two users, and X1Less than X2;
s5: repeating steps S3-S4 by making i equal to i + 1;
s6: repeating the step S5 until all the voltage data sets Di are selected, obtaining m1 initial floating voltages and m2 high floating voltages; m1 and m2 are both less than n, and m1+ m2 are not more than n;
s7: calculating to obtain an initial floating ratio F1 and a high floating ratio F2, wherein F1 is m1/n, and F2 is m 2/n;
step five: obtaining the initial floating ratio F1 and the high floating ratio F2 of a single month;
the data analysis module is used for transmitting the initial floating ratio F1 and the high floating ratio F2 to the electric energy calculation unit;
the data summarization unit receives the power consumption and the harmonic voltage transmitted by the data monitoring module and analyzes the influence of the harmonic voltage, and the specific influence analysis steps are as follows:
s100: acquiring harmonic voltage and marking the harmonic voltage as Bx;
s200: firstly, harmonic voltage meeting X is obtained3≤Bx<X4And marking the occurrence duration as an initial loss duration Kc;
s300: then the harmonic voltage is obtained to satisfy that Bx is more than or equal to X2And marking the occurrence time length as a high loss time length Kg;
s400: acquiring the total electricity utilization time Tz of the user in the current month;
s500: calculating to obtain an initial loss coefficient Qc-Kc/Tz according to a formula;
s600: calculating according to a formula to obtain a high deficit coefficient Qg which is Kg/Tz;
the data summarization unit is used for transmitting an initial loss coefficient Qc, a high loss coefficient Qg and power consumption to the electric energy calculation unit, the electric energy calculation unit receives the initial loss coefficient Qc, the high loss coefficient Qg and the power consumption transmitted by the data summarization unit, and the electric energy calculation unit receives an initial floating ratio F1 and a high floating ratio F2 transmitted by the data analysis module;
the electric energy calculating unit is used for carrying out valuation electric quantity analysis on the electricity consumption, the initial deficit coefficient Qc, the high deficit coefficient Qg, the initial floating proportion F1 and the high floating proportion F2; the specific analysis steps are as follows:
the method comprises the following steps: acquiring the electricity consumption of the month, and marking the electricity consumption as Yd;
step two: obtaining an initial floating ratio F1 and a high floating ratio F2, and calculating the total floating ratio, wherein the specific calculation method comprises the following steps:
s10: assigning an influence coefficient to the initial floating occupation ratio F1 and the high floating occupation ratio F2, because the influence of the supply voltage on the user equipment is general when the supply voltage floats in a general range, the influence coefficient of F1 is labeled as 0.362 and the influence coefficient of F2 is labeled as 0.638;
s20: calculating a total floating occupancy ratio Fz according to a formula, wherein Fz is 0.362F 1+ 0.638F 2;
s30: obtaining floating electricity consumption Yf according to a formula Yf-Yd-Fz;
step three: and calculating a total loss coefficient Qz according to the initial loss coefficient Qc and the high loss coefficient Qg, wherein the calculation formula is as follows: qz 0.375 Qc +0.625 Qg;
the electric energy calculating unit is used for transmitting the total loss coefficient Qz, the electricity consumption and the floating electricity consumption Yf to the processor, the processor is used for transmitting the total loss coefficient Qz, the electricity consumption and the floating electricity consumption Yf to the pricing unit, and the pricing unit receives the total loss coefficient Qz, the electricity consumption and the floating electricity consumption Yf transmitted by the processor; the valuation unit is used for carrying out valuation processing on the total loss coefficient Qz, the electricity consumption and the floating electricity consumption Yf by combining with a valuation model, and the specific processing steps are as follows:
SS 10: acquiring a pricing rule of a power grid company where the existing user is located, wherein the pricing rule is a charging rule corresponding to different electricity consumption stages;
SS 20: acquiring the power consumption Yd of a user, and re-evaluating the effective power consumption of the user by combining with the total loss coefficient, wherein the harmonic voltage corresponding to the total loss coefficient has great influence on the actual power consumption quality; the effective power consumption Dy is calculated in the following way:
SS 21: dy { (1-Qz) × (P1) }, where P1 is an average of preset values set by grid managers and preset values set by users, and P1< 1;
SS 30: calculating to obtain the uncore electricity charge Wd corresponding to the electricity consumption according to the value of Dy and the pricing rule of a power grid company where the user is located;
SS 40: calculating floating electric charge Wf corresponding to floating electric consumption Yf according to the pricing rule;
SS 50: calculating the post-nuclear electricity charge Ws according to a formula Ws-Wf P2; and P2 is a preset value, and P2< 1; p2 is the average value of the preset value set by the power grid manager and the preset value set by the user;
the pricing unit is used for returning the electricity charge Ws after the electricity charge is checked to the processor, the processor is used for transmitting the electricity charge Ws after the electricity charge is checked to the display unit to be displayed in real time, and the processor is used for stamping a time stamp on the electricity charge Ws after the electricity charge is checked and transmitting the time stamp to the storage unit to be stored.
A grid-connected interface monitoring system for accessing distributed power generation to a public power grid firstly utilizes a data monitoring unit to monitor the power supply voltage, harmonic voltage and monthly power consumption of a user in real time, and then carries out data induction processing on the power supply voltage by means of a data analysis module to obtain a monthly initial floating ratio F1 and a monthly high floating ratio F2; meanwhile, the harmonic voltage is analyzed by using a data summarization unit, and an initial deficit coefficient Qc and a high deficit coefficient Qg are obtained specifically; then, analyzing the rated electric quantity by using an electric energy calculating unit to obtain a total loss coefficient Qz and floating electricity consumption Yf; finally, the pricing unit is combined with pricing rules to obtain the electricity charge after the core; in the process, a power grid company manager and a power utilization user jointly set parameters to influence final charging, so that mutual interaction between the power grid company manager and the power utilization user is realized, and a joint bargaining is formed; the invention is simple, effective and easy to use.
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 (5)
1. The grid-connected interface monitoring system for accessing distributed power generation to a public power grid is characterized by comprising a data monitoring module, a data analysis module, a data summarization unit, an electric energy calculation unit, a processor, a display unit, a storage unit, a management unit, a pricing model and an alarm unit;
the data monitoring module is used for monitoring the power supply voltage and the harmonic voltage of a power supply network in real time and transmitting the power supply voltage to the data analysis module; the data monitoring module is also used for monitoring the power consumption of a user for one month and transmitting the power consumption and the harmonic voltage to the data summarizing unit;
the data analysis module is used for carrying out data induction processing on the power supply voltage, and the specific processing steps are as follows:
the method comprises the following steps: continuously monitoring and acquiring the data of the monitored power supply voltage for one month;
step two: acquiring a power supply voltage every preset time T1 to obtain a plurality of power supply voltage data to form a voltage data set Di, wherein i is 1.. n;
step three: calculating to obtain an average value of the voltage data set Di, and marking the average value as a reference value C;
step four: according to the formula
Calculating to obtain a stable inverse value L of the voltage data set Di, entering a stable analysis step to obtain a primary floating ratio F1 and a high floating ratio F2 when L is larger than a preset value,
step five: obtaining the initial floating ratio F1 and the high floating ratio F2 of a single month;
the data analysis module is used for transmitting the initial floating ratio F1 and the high floating ratio F2 to the electric energy calculation unit;
the data summarization unit receives the power consumption and the harmonic voltage transmitted by the data monitoring module, and carries out influence analysis on the harmonic voltage to obtain a primary deficit coefficient Qc and a high deficit coefficient Qg;
the data summarization unit is used for transmitting an initial loss coefficient Qc, a high loss coefficient Qg and power consumption to the electric energy calculation unit, the electric energy calculation unit receives the initial loss coefficient Qc, the high loss coefficient Qg and the power consumption transmitted by the data summarization unit, and the electric energy calculation unit receives an initial floating ratio F1 and a high floating ratio F2 transmitted by the data analysis module;
the electric energy calculating unit is used for carrying out valuation electric quantity analysis on the electric quantity, the initial deficit coefficient Qc, the high deficit coefficient Qg, the initial floating proportion F1 and the high floating proportion F2 to obtain a total deficit coefficient Qz and floating electric quantity Yf;
the electric energy calculating unit is used for transmitting the total loss coefficient Qz, the electricity consumption and the floating electricity consumption Yf to the processor, the processor is used for transmitting the total loss coefficient Qz, the electricity consumption and the floating electricity consumption Yf to the pricing unit, and the pricing unit receives the total loss coefficient Qz, the electricity consumption and the floating electricity consumption Yf transmitted by the processor; the valuation unit is used for carrying out valuation processing on the total loss coefficient Qz, the electricity consumption and the floating electricity consumption Yf by combining with a valuation model, and the specific processing steps are as follows:
SS 10: acquiring a pricing rule of a power grid company where the existing user is located, wherein the pricing rule is a charging rule corresponding to different electricity consumption stages;
SS 20: acquiring the power consumption Yd of a user, and re-evaluating the effective power consumption of the user by combining with the total loss coefficient, wherein the harmonic voltage corresponding to the total loss coefficient has great influence on the actual power consumption quality; the effective power consumption Dy is calculated in the following way:
SS 21: dy { (1-Qz) × (P1) }, where P1 is an average of preset values set by grid managers and preset values set by users, and P1< 1;
SS 30: calculating to obtain the uncore electricity charge Wd corresponding to the electricity consumption according to the value of Dy and the pricing rule of a power grid company where the user is located;
SS 40: calculating floating electric charge Wf corresponding to floating electric consumption Yf according to the pricing rule;
SS 50: calculating the post-nuclear electricity charge Ws according to a formula Ws-Wf P2; and P2 is a preset value, and P2< 1; p2 is the average of preset values set by grid managers and preset values set by users.
2. The grid-connected interface monitoring system for accessing distributed power generation to a utility grid according to claim 1, wherein the specific steps of the stability analysis in the fourth step of data induction processing are as follows:
s1: acquiring a voltage data set Di;
s2: let i equal to 1;
s3: acquiring corresponding voltage data D1, and substituting D1 into a selection model; the selection model is X1＜|Di-C|＜X2；
S4: will satisfy X1＜|Di-C|＜X2The voltage data of (a) is marked as a primary floating voltage, will satisfy | Di-C|≥X2Voltage data of (a) is marked as a high floating voltage; x1And X2Voltage values set for two users, and X1Less than X2；
S5: repeating steps S3-S4 by making i equal to i + 1;
s6: repeating the step S5 until all the voltage data sets Di are selected, obtaining m1 initial floating voltages and m2 high floating voltages; m1 and m2 are both less than n, and m1+ m2 are not more than n;
s7: and calculating to obtain an initial floating ratio F1 and a high floating ratio F2, wherein F1 is m1/n, and F2 is m 2/n.
3. The grid-connected interface monitoring system for accessing distributed power generation to a utility grid according to claim 1, wherein the specific analysis steps of the valuation electric quantity analysis are as follows:
the method comprises the following steps: acquiring the electricity consumption of the month, and marking the electricity consumption as Yd;
step two: obtaining an initial floating ratio F1 and a high floating ratio F2, and calculating the total floating ratio, wherein the specific calculation method comprises the following steps:
s10: assigning an influence coefficient to the initial floating ratio F1 and the high floating ratio F2, marking the influence coefficient of F1 as 0.362, and marking the influence coefficient of F2 as 0.638;
s20: calculating a total floating occupancy ratio Fz according to a formula, wherein Fz is 0.362F 1+ 0.638F 2;
s30: obtaining floating electricity consumption Yf according to a formula Yf-Yd-Fz;
step three: and calculating a total loss coefficient Qz according to the initial loss coefficient Qc and the high loss coefficient Qg, wherein the calculation formula is as follows: qz 0.375 Qc +0.625 Qg.
4. The grid-connected interface monitoring system for the distributed power generation access to the utility grid according to claim 1, wherein the pricing unit is configured to return the post-nuclear power rates Ws to the processor, the processor is configured to transmit the post-nuclear power rates Ws to the display unit for real-time display, and the processor is configured to timestamp the post-nuclear power rates Ws to the storage unit for storage.
5. The grid-connected interface monitoring system for accessing distributed generation to a utility grid according to claim 1, wherein the impact analysis comprises the following specific steps:
s100: acquiring harmonic voltage and marking the harmonic voltage as Bx;
s200: firstly, harmonic voltage meeting X is obtained3≤Bx<X4And marking the occurrence duration as an initial loss duration Kc; x3、X4Is two preset voltage values, and X3Less than X4；
S300: then the harmonic voltage is obtained to satisfy that Bx is more than or equal to X2And marking the occurrence time length as a high loss time length Kg;
s400: acquiring the total electricity utilization time Tz of the user in the current month;
s500: calculating to obtain an initial loss coefficient Qc-Kc/Tz according to a formula;
s600: calculating according to the formula to obtain the high deficit coefficient Qg which is Kg/Tz.
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