CN117134361B - High-proportion green electric cross-region cross-voltage class digestion method, device, equipment and medium - Google Patents

High-proportion green electric cross-region cross-voltage class digestion method, device, equipment and medium Download PDF

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CN117134361B
CN117134361B CN202311402146.4A CN202311402146A CN117134361B CN 117134361 B CN117134361 B CN 117134361B CN 202311402146 A CN202311402146 A CN 202311402146A CN 117134361 B CN117134361 B CN 117134361B
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park
campus
period
renewable energy
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CN117134361A (en
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宋红宇
王康丽
梁海深
肖峻
杨馨淼
徐福
袁贺超
祖国强
李国栋
李云秀
牛荣杰
李盛伟
郝金娜
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State Grid Corp of China SGCC
State Grid Tianjin Electric Power Co Ltd
Baodi Power Supply Co of State Grid Tianjin Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Tianjin Electric Power Co Ltd
Baodi Power Supply Co of State Grid Tianjin Electric Power Co Ltd
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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
    • H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
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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
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • 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
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy

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Abstract

The invention provides a high-proportion green electricity cross-region cross-voltage class digestion method, a device, equipment and a medium, which are suitable for the field of park power distribution networks, and the method comprises the following steps: acquiring data, wherein the data comprises total load in a park, renewable energy output in the park, net load in the park and renewable energy output outside the park, and the net load in the park is the difference value between the total load in the park and the renewable energy output in the park; matching the net load in the park with the renewable energy output outside the park to obtain a target sequence of the net load in the park; scheduling a power period of the payload in the campus based on a target sequence of the payload in the campus; and determining the green electricity consumption proportion of the park. According to the invention, the load in the park is matched with the output of renewable energy sources outside the park, so that the output of the renewable energy sources outside the park flows into the park for cross-region digestion, and the high-proportion green electricity energy supply in the park is realized.

Description

High-proportion green electric cross-region cross-voltage class digestion method, device, equipment and medium
Technical Field
The invention relates to the field of park power distribution networks, in particular to a high-proportion green power cross-region cross-voltage class consumption method.
Background
A park is a form of spatial aggregation of regional activities and economic developments. The existing industrial parks in China reach more than 15000, the economic contribution rate to the whole country reaches more than 30%, however, the proportion of renewable energy sources in the total energy consumption in the ecological demonstration industrial parks built in China is about 20%, and a certain gap exists between the ecological demonstration industrial parks and the proportion of the renewable energy sources specified by the 'high proportion renewable energy source scene' reaches 45%.
At present, the prior art only considers the scene that the renewable energy source output is higher than the load power in the park, and does not consider the scene that the load density is high in the park and the renewable energy source output is lower than the load power in the park, so that the whole green energy supply proportion of the park is lower.
Disclosure of Invention
The invention aims to provide a high-proportion green electric cross-region cross-voltage class digestion method, device, equipment and medium.
In order to achieve the above purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a high-proportion green-power cross-region cross-voltage class digestion method, comprising:
acquiring data, wherein the data comprise total load in a park, renewable energy output in the park, net load in the park and renewable energy output outside the park, and the net load in the park is the difference value between the total load in the park and the renewable energy output in the park;
matching the net load in the park with the renewable energy output outside the park to obtain a target sequence of the net load in the park;
scheduling a power period of the payload in the campus based on a target sequence of the payload in the campus;
and determining the green electricity consumption proportion of the park.
Preferably, the data is obtained by means of flow calculation and flow tracking.
Preferably, matching the on-campus payload to the off-campus renewable energy output to obtain a target sequence for the on-campus payload, comprising:
discretizing the net load in the park and the renewable energy output outside the park to obtain a sequence of the net load in the park and a sequence of the renewable energy output outside the park;
establishing a matching model of net load in the park and renewable energy output outside the park;
based on the sequence of the net load in the park and the sequence of the renewable energy source output outside the park, solving a matching model by adopting a genetic algorithm;
and obtaining a target sequence of the on-campus payload with the highest matching degree with the off-campus renewable energy output.
Further, discretizing the on-campus payload and the off-campus renewable energy source output to obtain a sequence of on-campus payload and a sequence of off-campus renewable energy source output, including:
selecting a scheduling period;
the intra-campus payloads of each time period within the scheduling period are time-sequentially ordered into a sequence of intra-campus payloads;
the off-campus renewable energy output of each period in the scheduling period forms a sequence of off-campus renewable energy output in time sequence.
Further, the matching model satisfies:
(2)
in the method, in the process of the invention,is the minimum of the second order norms, +.>For on-campus payload for each period within a scheduling period,P RE,T extra-campus renewable energy source output for each period in a scheduling period,/-on>Indicating that the payload power usage period may be advanced or retarded, the advance or retard time being limited by the power demand of the payload itself,/->Indicating the time that load electricity can be advanced, +.>Indicating the time that the load power usage may be delayed.
Preferably, scheduling the electricity usage period of the on-campus payload based on the target sequence of the on-campus payload comprises:
based on the target sequence of the on-campus payload, the on-campus payload power period is shifted to an off-campus renewable energy period where the on-campus renewable energy output is high.
Preferably, determining the green electricity consumption ratio of the campus includes:
based on a target sequence of net loads in the park, carrying out load flow calculation on a power grid in the park to obtain total load electricity consumption of the park;
calculating green electricity consumption of the park according to the tide direction to obtain total green electricity consumption of the park;
the green electricity consumption ratio is obtained by dividing the total green electricity consumption of the park by the total load electricity consumption of the park.
Further, calculating green electricity consumption of the park according to the tide direction to obtain total green electricity consumption of the park, including:
when the tide flows from the inside to the outside of the district, the green electricity consumption of the district in the period is equal to the load of the district in the period, and the following conditions are satisfied:
(4)
in the method, in the process of the invention,tfor the sequence number of a period within one scheduling period,for the green electricity consumption of the campus in the period, +.>Is the load amount in the park in the period;
when the tide flows from the outside of the district to the inside of the district, the green electricity consumption of the district in the period is equal to the green electricity consumption of the renewable energy source in the district in the period, the renewable energy source outside the district flows into the inside of the district and the green electricity in the commercial power, and the following conditions are satisfied:
(5)
in the method, in the process of the invention,tfor the sequence number of a period within one scheduling period,for the green electricity consumption of the campus in the period, +.>Power supply for renewable energy source in the campus in time period, +.>The green electricity proportion in the commercial power is adopted; />The power is supplied to the campus for the utility,and (5) supplying power for the renewable energy source outside the area to flow into the area.
Further, the green electricity consumption ratio is obtained by dividing the total green electricity consumption of the park by the total load electricity consumption of the park, and the following conditions are satisfied:
(7)
in the method, in the process of the invention,for the total green electricity consumption in the park, +.>For the total green electricity consumption in the campus, +.>And the total load electricity consumption in the park.
In a second aspect, the present invention also provides a high-proportion green-electricity cross-region cross-voltage class resolution apparatus, comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring data, the data comprise total load in a park, renewable energy output in the park, net load in the park and renewable energy output outside the park, and the net load in the park is the difference value between the total load in the park and the renewable energy output in the park;
the matching module is used for matching the net load in the park with the renewable energy output outside the park to obtain a target sequence of the net load in the park;
the scheduling module is used for scheduling the electricity utilization period of the payload in the park based on the target sequence of the payload in the park;
and the determining module is used for determining the green electricity consumption proportion of the park.
Preferably, the data is obtained by means of flow calculation and flow tracking.
Preferably, matching the on-campus payload to the off-campus renewable energy output to obtain a target sequence for the on-campus payload comprises:
discretizing the net load in the park and the renewable energy output outside the park to obtain a sequence of the net load in the park and a sequence of the renewable energy output outside the park;
establishing a matching model of net load in the park and renewable energy output outside the park;
based on the sequence of the net load in the park and the sequence of the renewable energy source output outside the park, solving a matching model by adopting a genetic algorithm;
and obtaining a target sequence of the on-campus payload with the highest matching degree with the off-campus renewable energy output.
Further, discretizing the on-campus payload and the off-campus renewable energy source output to obtain a sequence of on-campus payload and a sequence of off-campus renewable energy source output, including:
selecting a scheduling period;
the intra-campus payloads of each time period within the scheduling period are time-sequentially ordered into a sequence of intra-campus payloads;
the off-campus renewable energy output of each period in the scheduling period forms a sequence of off-campus renewable energy output in time sequence.
Further, the matching model satisfies:
(2)
in the method, in the process of the invention,is the minimum of the second order norms, +.>For on-campus payload for each period within a scheduling period,P RE,T extra-campus renewable energy source output for each period in a scheduling period,/-on>Indicating that the payload power usage period may be advanced or retarded, the advance or retard time being limited by the power demand of the payload itself,/->Indicating the time that load electricity can be advanced, +.>Indicating the time that the load power usage may be delayed.
Preferably, scheduling the electricity usage period of the on-campus payload based on the target sequence of the on-campus payload comprises:
based on the target sequence of the on-campus payload, the on-campus payload power period is shifted to an off-campus renewable energy period where the on-campus renewable energy output is high.
Preferably, determining the green electricity consumption ratio of the campus includes:
based on a target sequence of net loads in the park, carrying out load flow calculation on a power grid in the park to obtain total load electricity consumption of the park;
calculating green electricity consumption of the park according to the tide direction to obtain total green electricity consumption of the park;
the green electricity consumption ratio is obtained by dividing the total green electricity consumption of the park by the total load electricity consumption of the park.
Further, calculating green electricity consumption of the park according to the tide direction to obtain total green electricity consumption of the park, including:
when the tide flows from the inside to the outside of the district, the green electricity consumption of the district in the period is equal to the load of the district in the period, and the following conditions are satisfied:
(4)
in the method, in the process of the invention,tfor the sequence number of a period within one scheduling period,for the green electricity consumption of the campus in the period, +.>Is the load amount in the park in the period;
when the tide flows from the outside of the district to the inside of the district, the green electricity consumption of the district in the period is equal to the green electricity consumption of the renewable energy source in the district in the period, the renewable energy source outside the district flows into the inside of the district and the green electricity in the commercial power, and the following conditions are satisfied:
(5)
in the method, in the process of the invention,tfor the sequence number of a period within one scheduling period,for the green electricity consumption of the campus in the period, +.>Power supply for renewable energy source in the campus in time period, +.>The green electricity proportion in the commercial power is adopted; />The power is supplied to the campus for the utility,and (5) supplying power for the renewable energy source outside the area to flow into the area.
Further, the green electricity consumption ratio is obtained by dividing the total green electricity consumption of the park by the total load electricity consumption of the park, and the following conditions are satisfied:
(7)
in the method, in the process of the invention,for the total green electricity consumption in the park, +.>For the total green electricity consumption in the campus, +.>And the total load electricity consumption in the park.
In a third aspect, there is also provided an electronic device, comprising: a processor and a memory;
the processor is coupled with the memory;
wherein the processor is configured to read and execute a program or instructions stored in the memory, so that the apparatus performs the method provided in the first aspect.
In a fourth aspect, there is also provided a computer readable storage medium storing a computer program which when executed by a processor implements the method provided in the first aspect.
Compared with the prior art, the invention has the following advantages:
according to the invention, the total load in the park is obtained through the high-voltage distribution network, the data such as the output of renewable energy sources in the park, the net load in the park and the like are matched with the output of renewable energy sources outside the park, and the net load in the park is scheduled according to the matching result, so that the output of renewable energy sources outside the park flows into the park for cross-region absorption, and the high-proportion green electricity energy supply in the park is realized.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for high-ratio green-electric cross-region cross-voltage class elimination in an embodiment of the invention;
fig. 2 is a schematic diagram of a current-year-periphery 110kV power grid wiring diagram of a green power park power distribution network in an embodiment of the invention;
fig. 3 is a schematic diagram of a current annual campus 10kV distribution network topology of a green electricity campus distribution network in an embodiment of the present invention;
fig. 4 is a schematic diagram of a 110kV grid wiring around a green electricity campus network for planning years in an embodiment of the present invention;
fig. 5 is a schematic diagram of a planning year campus 10kV distribution network topology of a green electricity campus distribution network in an embodiment of the present invention;
FIG. 6 is a graph of typical daily electricity output from a green electricity campus network for planning years in accordance with an embodiment of the present invention;
FIG. 7 is a graph of the net load before and after matching renewable energy sources on a green electricity campus network for a planned year in an embodiment of the present invention;
FIG. 8 is a graph of typical daily 14:00 green current for a planned annual park and surrounding 110kV grids of a green electric park distribution network in accordance with an embodiment of the present invention;
FIG. 9 is a schematic diagram of a high-ratio green-power-domain cross-voltage-class resolution device according to an embodiment of the present invention
Fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The flow chart of the high-proportion green electric cross-region cross-voltage class eliminating method is shown in fig. 1.
S101 acquires data.
For a known park, a scheduling period is selected, and the total load in the park, the renewable energy output in the park and the renewable energy output outside the park are obtained through load flow calculation and load flow tracking, wherein the net load in the park is the difference value between the total load in the park and the renewable energy output in the park.
S102, matching the on-campus payload with the off-campus renewable energy output to obtain a target sequence of the on-campus payload.
Discretizing the payload of the park based on the scheduling period, forming the payload of each period in the scheduling period into a sequence of the payload of the park according to time sequence, and calculating the total payload of the park according to the scheduling period of 24 hours as one scheduling periodP L,T = [P L,1 ，P L,2 …，P L,24 ]The output of renewable energy sources in the park isP DG,T = [P DG,1 ，P DG,2 …，P DG,24 ]The intra-park payload sequence satisfies:
(1)
wherein,P OF,T as a sequence of payload in a campus,P L,T the total load sequence in the campus,P DG,T and (3) outputting a power sequence for renewable energy sources in the park, wherein T represents a sequence number of a time period in a scheduling period.
Discretizing the out-of-park renewable energy output, and forming the out-of-park renewable energy output sequence of each period in a scheduling period according to the time sequence, wherein the out-of-park renewable energy output sequence is calculated by taking 24 hours as a scheduling period, and is as follows:P RE,T = [P RE,1 ，P RE,2 …，P RE,24 ]t represents the sequence number of the period in the scheduling period.
The flexible load such as electric automobile, air conditioner and the like in the net load in the park has certain demand response capability, and under the condition of not influencing the energy consumption requirement, the electricity consumption period of the flexible load is shifted to the period of high output of the renewable energy source, so that the consumption of the renewable energy source outside the park can be increased, and the renewable energy source outside the park is matched to the maximum extent, so that the energy consumption of the renewable energy source outside the park is controlled within a scheduling periodP OF,T And (3) withP RE,T The second order norm minimum of the difference of (2) is used as an objective function to build a model:
(2)
in the method, in the process of the invention,is the minimum of the second order norms, +.>For on-campus payload for each period within a scheduling period,P RE,T extra-campus renewable energy source output for each period in a scheduling period,/-on>Indicating that the payload power usage period may be advanced or retarded, the advance or retard time being limited by the power demand of the payload itself,/->Indicating the time that load electricity can be advanced, +.>Indicating the time that the load power usage may be delayed.
Based on the sequence of the net load in the park and the sequence of the renewable energy output outside the park, solving the model by adopting a genetic algorithm, and randomly generatingP OF,T+ΔT Population, through selection, crossing, variation and the likeTo the load sequence with the highest matching degree with the output of renewable energy sources outside the area, namely the target sequence of the net load in the park.
S103 schedules a power period for the on-campus payload based on the target sequence of the on-campus payload.
Shifting the period of electricity consumption of the on-campus payload to a period of high off-campus renewable energy output based on the target sequence of the on-campus payload, i.e. based on the target sequence of the on-campus payloadP OF,T According to the electricity utilization period of (2)P OF,T+ΔT Corresponding in the populationThe values are translated.
S104 determines the green electricity consumption ratio of the campus.
Further, the above scheme is performed with 365 days a year, that is 8760, as a scheduling period, to obtain a target sequence of 8760 hours of on-campus payload:
(3)
wherein,P OF,T for the payload sequence in the campus, T represents the sequence number of the period in the scheduling period.
Based on the target sequence of the net load in the park for 8760 hours, carrying out load flow calculation on the park and the surrounding 110kV power grid to obtain the total load power consumption of the parkThe commercial power supplies power to the parkP G,t The renewable energy source outside the park flows into the power supply in the park +.>Calculating green electricity consumption of a park according to the tide direction:
a) When the tide flows from the inside to the outside of the district, the green electricity quantity consumed by the park in the period is equal to the load quantity of the park in the period, and the following conditions are satisfied:
(4)
in the method, in the process of the invention,tfor the sequence number of a period within one scheduling period,for the green electricity consumption of the campus in the period, +.>Is the amount of load on the campus during the period.
b) When the tide flows from the outside of the district to the inside of the district, the green electricity consumption of the district in the period is equal to the green electricity consumption of the renewable energy source in the district in the period, the renewable energy source outside the district flows into the inside of the district and the green electricity in the commercial power, and the following conditions are satisfied:
(5)
in the method, in the process of the invention,tfor the sequence number of a period within one scheduling period,for the green electricity consumption of the campus in the period, +.>Power supply for renewable energy source in the campus in time period, +.>The green electricity proportion in the commercial power is adopted; />The power is supplied to the campus for the utility,and (5) supplying power for the renewable energy source outside the area to flow into the area.
Accumulating the green electricity quantity of 8760 hours to obtain the total green electricity consumption in the park，The method meets the following conditions:
(6)
wherein t is the number of time periods,for a total green electricity consumption in 8760 hours campus, +.>Green power is consumed for the time period zone.
Dividing the total green electricity consumption in the park by the total load electricity consumption in the park to obtain annual green electricity consumption proportion, and meeting the following conditions:
(7)
wherein,for a total green electricity consumption in 8760 hours park, +.>For a total green electricity consumption in 8760 hours campus, +.>And the total load electricity consumption in the park.
In summary, according to the high-proportion green electricity cross-region voltage level absorption method provided by the invention, the total load in the park is obtained through the high-voltage distribution network, the data such as the output of renewable energy sources in the park, the net load in the park and the like are matched with the output of renewable energy sources outside the park, and the net load in the park is scheduled according to the matching result, so that the output of renewable energy sources outside the park flows into the park for cross-region absorption, and the high-proportion green electricity energy supply in the park is realized.
In order to further explain the technical scheme of the invention, the description will be given by specific current situation years and planning years, the schematic diagram of the current situation years is shown in fig. 2 and 3, and the schematic diagram of the planning years is shown in fig. 4 and 5. Calculation example park area 18.8 km 2 The load type being industrial loadAnd commercial loads, energy consumption being dominated by electricity. There are 2 110kV substations in the park, 140 MW wind power station is located at 9km from the park, the grid-connected voltage is 110kV, and the wind power station is consumed through the off-site substations at present.
Current annual park parameters: the total load in the park is 64.41MW and the load density is 3.42MW/km 2 The method comprises the steps of carrying out a first treatment on the surface of the The annual electricity consumption is 35377 kWh, and the total capacity of the renewable energy source assembly machine in the park is 1.87MWp, as shown in table 1.
Planning annual park parameters: the load 115.89MW is newly increased in the planning year, the total load in the park reaches 180.3MW, the load density is 9.59MW/km2, the annual electricity consumption is 98563 kilokilowatts, the installed capacity of renewable energy sources in the newly increased park is 74.1MWp, the capacity of renewable energy source total installation machines in the park is 75.97MWp, the number of seats of a 40MW wind power station 1 is newly increased outside the park, the grid-connected voltage is 110kV, the data of typical daily output of renewable energy sources in the park are shown in a table 3, and the typical daily output curve of wind power is shown in fig. 6.
Based on the above example planning annual park parameters, 24 hours of a typical day are selected as a scheduling period, and data is obtained through power flow calculation and power flow tracking, including:
sequence of total load in a typical campus: [124.25 101.16 100.72 98.14 101.46 98.54 100.56 101.28 95.11 148.98 177.11 175.53 171.13 146.15 156.41 160.16 153.99 161.16 150.16 134.15 140.68 143.03 138.65 128.37];
renewable energy output sequence in a typical campus: [ 000 00 0.03 6.85 25.76 48.96 47.55 60.48 62.37 56.1 60.03 74.11 75.94 53.22 30.43 15.1 3.62 000 0];
the two are subtracted to obtain a typical on-campus payload sequence: [124.25 101.16 100.72 98.14 101.46 98.51 93.71 75.52 46.15 101.43 116.63 113.16 115.03 86.12 82.3 84.22 100.77 130.73 135.06 130.53 140.68 143.03 138.65 128.37].
Output sequence of renewable energy sources outside the park: [75.5 74.24 59.41 57.84 59.47 58.31 50.94 37.2 37.81 12.23 14.74 19.48 25.4 38.22 46.71 28.34 20.91 22.05 17.88 13.6 15.8 29.16 54.92 78.28]
Based on the data, taking the minimum second-order norm of the difference between the renewable energy output outside the park and the net load in the park as an objective function, taking the condition that the net load electricity utilization time in the park can be advanced or delayed for 2 hours, producing the population, and obtaining the load sequence with the highest matching degree with the renewable energy output outside the park through selection, intersection and variation: [124.25 101.16 100.72 98.14 101.46 98.51 93.71 75.52 116.63 46.15 113.16 101.43 86.12 115.03 100.77 130.73 82.3 84.22 140.68 135.06 130.53 128.37 140.68 143.03] the matching of the sequences is shown in FIG. 7.
As seen in fig. 7, before matching, the 9:00 am payload value is minimal, and the renewable energy offsite is minimal, 10:00 region; after matching, the payload minimum is shifted to 10:00. Before matching, the output of the renewable energy reaches a peak value within approximately 10 hours at 15:00 pm, the load is a valley value within approximately 8 hours, and the load is a maximum value within approximately 2 hours at the same time after matching, so that more renewable energy can be consumed.
The load sequence with highest matching degree in 8760 hours in the whole year can be obtained by repeating 365 times, the comparison of the second order norms before and after the matching is solved, the difference value of the second order norms before and after the matching is 5479, the difference value of the second order norms after the matching is 5123, and further the load electricity demand is increased when the output of renewable energy sources outside the area is large.
And according to the obtained matched load sequence, combining planning year power grid data, and adopting PSS Cloud software to carry out power flow simulation of 8760 hours of planning year. Wherein, the flow simulation data of 24 hours of a typical day are shown in table 4.
In order to more clearly show the green current consumption, a green current diagram showing a typical day of 14:00 is shown in FIG. 8, and as can be seen from FIG. 8, the total load in the region is 156.41MW; the output of renewable energy sources in the region is 74.11MW; the power flow tracking method is adopted to calculate, the power supply of the external wind power station D to the area is 19.24MW, the power supply of the external wind power station C to the area is 22.63MW, and the total power supply of the external wind power to the area is 41.87MW; the 220kV transformer substation supplies 40.43MW to the area.
And summarizing annual simulation results to obtain: photovoltaic power generation capacity 9116 kWh in a digestion area and wind power 18576 kWh outside the digestion area. The 220kV transformer substation outside the area provides electric energy 70870 kWh, wherein the green electricity proportion is 33%, namely 23387 kWh.
The green electricity consumption proportion of the park adopting the scheme of the invention is as follows:
=（9116+18576+23387）/98563×100% =51.82%(8)
the traditional method for absorbing the renewable energy source in the park does not consider the matching of the net load in the park and the renewable energy source outside the park, the power generation quantity of the renewable energy source in the park is 9116 kWh, the power is 89447 kWh, the green power proportion is 33% and is 29517 kWh, and the 220kV transformer substation outside the park provides power.
The green electricity consumption proportion of the park in the traditional method is as follows:
=（9116+29517）/98563×100% =39.20%(9)
compared with the traditional method, the green electricity consumption ratio of the park is improved by 12.62%, and the green electricity ratio of the park exceeds 50%, which is higher than that of the current domestic demonstration ecological industrial park.
In summary, for a high load density park, a large amount of electricity from the power grid is required, the proportion of green electricity which can be achieved by local renewable energy power generation is limited, and the realization of renewable energy consumption outside the park through transregional voltage class crossing is of great significance. According to the invention, the total load in the park is obtained through the high-voltage distribution network, the data such as the output of renewable energy sources in the park, the net load in the park and the like are matched with the output of renewable energy sources outside the park, and the net load in the park is scheduled according to the matching result, so that the output of renewable energy sources outside the park flows into the park for cross-region absorption, and the high-proportion green electricity energy supply in the park is realized.
Illustratively, fig. 9 is a schematic structural diagram of a high-ratio green-electric-cross-region cross-voltage-class dissipating device according to an embodiment of the present invention.
As shown in fig. 9, the apparatus 900 includes: an acquisition module 901, a matching module 902, a scheduling module 903, and a determination module 904;
the acquiring module 901 is configured to acquire data, where the data includes total load in the campus, output of renewable energy sources in the campus, net load in the campus, and output of renewable energy sources outside the campus, and the net load in the campus is a difference value between the total load in the campus and the output of renewable energy sources in the campus;
the matching module 902 is configured to match the intra-campus payload with the out-of-campus renewable energy output to obtain a target sequence of the intra-campus payload;
a scheduling module 903, configured to schedule a power period of the payload in the campus based on the target sequence of the payload in the campus;
a determination module 904 determines green electricity consumption rates for the campus.
Fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
As shown in fig. 10, the apparatus 1000 includes: a processor 1001 and a memory 1002;
the processor 1001 is configured to read and execute programs and instructions stored in the memory 1002, so that the apparatus 1000 performs the high-proportion green transregional transvoltage level resolution method of the above method embodiment.
It should be noted that, for convenience of explanation, fig. 9 only shows main components of the high-ratio green-electric-span voltage class-level-absorbing device. In practice, the device may also comprise parts or components not shown in the figures. Fig. 10 shows only the main components of the electronic device. In practice, the electronic device may also comprise parts or components not shown in the figures.
The invention also provides a computer readable storage medium storing a program or instructions which, when read and executed by a computer, cause the computer to perform the high-proportion green transregional transvoltage level digestion method of the method embodiment.
Although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (18)

1. A high-proportion green-electric cross-region cross-voltage class digestion method, comprising:
acquiring data, wherein the data comprises total load in a park, renewable energy output in the park, net load in the park and renewable energy output outside the park, and the net load in the park is the difference value between the total load in the park and the renewable energy output in the park;
matching the net load in the park with the renewable energy output outside the park to obtain a target sequence of the net load in the park;
scheduling a power period of the payload in the campus based on a target sequence of the payload in the campus;
determining green electricity consumption proportion of a park;
matching the in-park payload with the out-of-park renewable energy source output to obtain a target sequence of the in-park payload, comprising:
discretizing the net load in the park and the renewable energy output outside the park to obtain a sequence of the net load in the park and a sequence of the renewable energy output outside the park;
establishing a matching model of net load in the park and renewable energy output outside the park;
based on the sequence of the net load in the park and the sequence of the renewable energy source output outside the park, solving a matching model by adopting a genetic algorithm;
and obtaining a target sequence of the on-campus payload with the highest matching degree with the off-campus renewable energy output.
2. The high-proportion green transregional voltage class resolution method of claim 1, wherein the data is obtained by power flow calculation and power flow tracking.
3. The high-ratio green electricity cross-zone voltage class absorption method according to claim 1, wherein the discretizing the intra-campus payload and the off-campus renewable energy output to obtain a sequence of the intra-campus payload and a sequence of the off-campus renewable energy output comprises:
selecting a scheduling period;
the intra-campus payloads of each time period within the scheduling period are time-sequentially ordered into a sequence of intra-campus payloads;
the off-campus renewable energy output of each period in the scheduling period forms a sequence of off-campus renewable energy output in time sequence.
4. The high-proportion green-electric-cross-region cross-voltage-class-solution method of claim 1, wherein the matching model satisfies:
(2)
in the method, in the process of the invention,is the minimum of the second order norms, +.>For on-campus payload for each period within a scheduling period,P RE,T for each scheduling periodOne period of out-of-park renewable energy source yielding +.>Indicating that the payload power usage period may be advanced or retarded, the advance or retard time being limited by the power demand of the payload itself,/->Indicating the time that load electricity can be advanced, +.>Indicating the time that the load power usage may be delayed.
5. The high-proportion green electricity cross-zone cross-voltage class consumption method of claim 1, wherein the scheduling electricity usage periods of on-campus payloads based on target sequences of on-campus payloads comprises:
based on the target sequence of the on-campus payload, the electricity utilization period of the on-campus payload is shifted to a period of high off-campus renewable energy output.
6. The high proportion green electricity transregional voltage level digestion method of any one of claims 1-5, wherein said determining green electricity digestion proportion for a campus comprises:
carrying out load flow calculation on a power grid in the park based on the target sequence of the net load in the park to obtain the total load electricity consumption of the park;
calculating green electricity consumption of the park according to the tide direction to obtain total green electricity consumption of the park;
the green electricity consumption ratio is obtained by dividing the total green electricity consumption of the park by the total load electricity consumption of the park.
7. The high-proportion green electricity cross-region voltage class consumption method of claim 6, wherein the calculating the green electricity consumption of the park according to the direction of the tide to obtain the total green electricity consumption of the park comprises:
when the tide flows from the inside to the outside of the district, the green electricity consumption of the district in the period is equal to the load of the district in the period, and the following conditions are satisfied:
(4)
in the method, in the process of the invention,tfor the sequence number of a period within one scheduling period,for the green electricity consumption of the campus in the period, +.>Is the load amount in the park in the period;
when the tide flows from the outside of the district to the inside of the district, the green electricity consumption of the district in the period is equal to the green electricity consumption of the renewable energy source in the district in the period, the renewable energy source outside the district flows into the inside of the district and the green electricity in the commercial power, and the following conditions are satisfied:
(5)
in the method, in the process of the invention,tfor the sequence number of a period within one scheduling period,for the green electricity consumption of the campus in the period, +.>Power supply for renewable energy source in the campus in time period, +.>The green electricity proportion in the commercial power is adopted; />Supplying power to the campus for mains supply, +.>And (5) supplying power for the renewable energy source outside the area to flow into the area.
8. The high-ratio green-electricity-cross-zone voltage-class-level-elimination method according to claim 7, wherein the green electricity-elimination ratio is obtained by dividing the total green electricity-elimination amount of the park by the total load electricity consumption amount of the park, and the method is characterized in that:
(7)
in the method, in the process of the invention,for the total green electricity consumption in the park, +.>For the total green electricity consumption in the campus, +.>And the total load electricity consumption in the park.
9. A high-ratio green-electric cross-zone cross-voltage class digestion device, the device comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring data, wherein the data comprises total load in a park, renewable energy output in the park, net load in the park and renewable energy output outside the park, and the net load in the park is the difference value between the total load in the park and the renewable energy output in the park;
the matching module is used for matching the net load in the park with the renewable energy output outside the park to obtain a target sequence of the net load in the park;
the scheduling module is used for scheduling the electricity utilization period of the payload in the park based on the target sequence of the payload in the park;
the determining module is used for determining the green electricity consumption proportion of the park;
matching the in-park payload with the out-of-park renewable energy source output to obtain a target sequence of the in-park payload, comprising:
discretizing the net load in the park and the renewable energy output outside the park to obtain a sequence of the net load in the park and a sequence of the renewable energy output outside the park;
establishing a matching model of net load in the park and renewable energy output outside the park;
based on the sequence of the net load in the park and the sequence of the renewable energy source output outside the park, solving a matching model by adopting a genetic algorithm;
and obtaining a target sequence of the on-campus payload with the highest matching degree with the off-campus renewable energy output.
10. The high-proportion green transregional voltage class resolution apparatus of claim 9, wherein the data is obtained by power flow calculation and power flow tracking.
11. The high-ratio green transregional voltage class resolution apparatus of claim 9, wherein discretizing the on-campus payload and the off-campus renewable energy output to obtain a sequence of on-campus payloads and a sequence of off-campus renewable energy outputs comprises:
selecting a scheduling period;
the intra-campus payloads of each time period within the scheduling period are time-sequentially ordered into a sequence of intra-campus payloads;
the off-campus renewable energy output of each period in the scheduling period forms a sequence of off-campus renewable energy output in time sequence.
12. The high-proportion green-electric-trans-regional trans-voltage-class-resolution apparatus of claim 9, wherein the matching model satisfies:
(2)
in the method, in the process of the invention,is the minimum of the second order norms, +.>For on-campus payload for each period within a scheduling period,P RE,T extra-campus renewable energy source output for each period in a scheduling period,/-on>Indicating that the payload power usage period may be advanced or retarded, the advance or retard time being limited by the power demand of the payload itself,/->Indicating the time that load electricity can be advanced, +.>Indicating the time that the load power usage may be delayed.
13. The high proportion green electricity trans-regional trans-voltage level consumption apparatus of claim 9, wherein the scheduling the period of electricity usage of the on-campus payload based on the target sequence of on-campus payload comprises:
based on the target sequence of the on-campus payload, the electricity utilization period of the on-campus payload is shifted to a period of high off-campus renewable energy output.
14. The high ratio green electricity transdistrict voltage level digestion device of any one of claims 9-13 wherein the determining green electricity digestion ratio for a campus comprises:
carrying out load flow calculation on a power grid in the park based on the target sequence of the net load in the park to obtain the total load electricity consumption of the park;
calculating green electricity consumption of the park according to the tide direction to obtain total green electricity consumption of the park;
the green electricity consumption ratio is obtained by dividing the total green electricity consumption of the park by the total load electricity consumption of the park.
15. The high-ratio green electricity cross-region voltage class consumption device according to claim 14, wherein the calculating the green electricity consumption of the park according to the direction of the power flow to obtain the total green electricity consumption of the park comprises:
when the tide flows from the inside to the outside of the district, the green electricity consumption of the district in the period is equal to the load of the district in the period, and the following conditions are satisfied:
(4)
in the method, in the process of the invention,tfor the sequence number of a period within one scheduling period,for the green electricity consumption of the campus in the period, +.>Is the load amount in the park in the period;
when the tide flows from the outside of the district to the inside of the district, the green electricity consumption of the district in the period is equal to the green electricity consumption of the renewable energy source in the district in the period, the renewable energy source outside the district flows into the inside of the district and the green electricity in the commercial power, and the following conditions are satisfied:
(5)
in the method, in the process of the invention,tfor the sequence number of a period within one scheduling period,for the green electricity consumption of the campus in the period, +.>Power supply for renewable energy source in the campus in time period, +.>The green electricity proportion in the commercial power is adopted; />Supplying power to the campus for mains supply, +.>And (5) supplying power for the renewable energy source outside the area to flow into the area.
16. The high-ratio green-electricity-cross-zone voltage-class-level-absorption device according to claim 14, wherein the green-electricity-absorption ratio obtained by dividing the total green electricity consumption of the campus by the total load electricity consumption of the campus is as follows:
(7)
in the method, in the process of the invention,for the total green electricity consumption in the park, +.>For the total green electricity consumption in the campus, +.>And the total load electricity consumption in the park.
17. An electronic device, comprising: a processor and a memory;
the processor is coupled with the memory;
wherein the processor is configured to read and execute the program or instructions stored in the memory, to cause the apparatus to perform the method according to any one of claims 1-8.
18. A computer readable storage medium, characterized in that a computer program is stored, which program, when being executed by a processor, implements the method according to any of claims 1-8.
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