CN110826821B - Distribution network planning method based on distributed optical storage and charging - Google Patents

Distribution network planning method based on distributed optical storage and charging Download PDF

Info

Publication number
CN110826821B
CN110826821B CN201911228842.1A CN201911228842A CN110826821B CN 110826821 B CN110826821 B CN 110826821B CN 201911228842 A CN201911228842 A CN 201911228842A CN 110826821 B CN110826821 B CN 110826821B
Authority
CN
China
Prior art keywords
charging
energy storage
stations
combination
line
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201911228842.1A
Other languages
Chinese (zh)
Other versions
CN110826821A (en
Inventor
马立红
王海生
宁光涛
吕懿
张昌俊
李思凡
文承毅
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hainan Power Grid Co Ltd
Original Assignee
Hainan Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hainan Power Grid Co Ltd filed Critical Hainan Power Grid Co Ltd
Priority to CN201911228842.1A priority Critical patent/CN110826821B/en
Publication of CN110826821A publication Critical patent/CN110826821A/en
Application granted granted Critical
Publication of CN110826821B publication Critical patent/CN110826821B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0204Market segmentation
    • G06Q30/0205Location or geographical consideration
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0206Price or cost determination based on market factors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S50/00Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/14Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Economics (AREA)
  • Accounting & Taxation (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Theoretical Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Game Theory and Decision Science (AREA)
  • Health & Medical Sciences (AREA)
  • Tourism & Hospitality (AREA)
  • Data Mining & Analysis (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides a power distribution network planning method based on distributed light storage and charging, which comprises the following steps: acquiring electric vehicle data of a power supply area corresponding to the line, predicting a load value of the electric vehicle during charging, calculating a total capacity value of charging stations of the power supply area according to the load value, and constructing a plurality of charging station address selection combinations according to the total capacity value of the charging stations; energy storage stations are arranged at the charging stations at the same time, the total capacity of the energy storage stations is designed at the same time, and a plurality of energy storage station site selection combinations are constructed; comprehensively considering the energy storage station site selection combination and the charging station site selection combination to obtain a plurality of site selection combinations considering the charging stations and the energy storage stations at the same time; and respectively calculating the line loss and the voltage offset of each addressing combination according to the addressing combination, simultaneously calculating the economic loss caused by the line loss, calculating the economic loss caused by the voltage offset, obtaining the sum of the economic losses of each combination, and selecting the combination with the minimum economic loss as an addressing scheme.

Description

Distribution network planning method based on distributed optical storage and charging
Technical Field
The invention relates to the technical field of power grid planning, in particular to a power distribution network planning method based on distributed light storage and charging.
Background
The access of distributed photovoltaic and charging station loads will affect the tide distribution, power supply reliability and scheduling operation of the traditional power distribution network, and the influence on the power distribution network will be larger and larger along with the continuous development of the distributed photovoltaic and charging station loads. Energy storage and distributed photovoltaic are built synchronously, the adjusting pressure of the power grid after the distributed photovoltaic is connected can be greatly reduced, auxiliary services such as frequency modulation are avoided being used excessively, instantaneous active power loss of a circuit can be compensated timely, the voltage deviation time is shortened, and the key indexes of the power grid are improved. In addition to cost limitations, the main limitations of energy storage planning are site selection and volume fixing.
At present, the planning and research direction for optical storage and charging is only directed at the whole city, and the operation capacity of the integration of optical storage and charging when a network distribution line is connected into the city is not considered, and whether the cooperative planning and site selection of a charging station and an energy storage station can optimize the line flow and the voltage or not is not considered.
Disclosure of Invention
The invention aims to provide a power distribution network planning method based on distributed optical storage and charging, so as to solve the problems in the background technology.
The invention is realized by the following technical scheme: a method for planning a power distribution network based on distributed optical storage and charging, the method comprising:
collecting data of a power distribution network on any power distribution line, wherein the data comprises data of static elements on the line and time sequence data of dynamic elements on the line;
acquiring electric vehicle data of a power supply area corresponding to the line, predicting a load value of an electric vehicle during charging, calculating a total capacity value of charging stations of the power supply area according to the load value, and constructing a plurality of charging station address selection combinations according to the total capacity value of the charging stations;
energy storage stations are arranged at the charging stations at the same time, the total capacity of the energy storage stations is designed at the same time, and a plurality of energy storage station site selection combinations are constructed;
comprehensively considering the energy storage station site selection combination and the charging station site selection combination to obtain a plurality of site selection combinations considering the charging stations and the energy storage stations at the same time;
and respectively calculating the line loss and the voltage offset of each addressing combination according to the addressing combination, simultaneously calculating the economic loss caused by the line loss, calculating the economic loss caused by the voltage offset, obtaining the sum of the economic losses of each combination, and selecting the combination with the minimum economic loss as an addressing scheme.
Preferably, the predicting the load value when the electric vehicle is charged includes: the calculation method comprises the following steps:
Figure BDA0002302973550000021
wherein, a c Simultaneous charging rate, k, for electric vehicles e The proportion of the electric automobile in the total amount of the automobile in a certain area, w eav Is the average battery capacity, t, of the electric vehicle e Is the average full time of the battery of the electric automobile,
Figure BDA0002302973550000022
the total amount of traffic per day, sigma k, for a plurality of lines in a region i Total parking amount, n, of a plurality of parking lots in a certain area i The charging load value of the charging station.
Preferably, the capacity of the charging station for the power supply area is calculated according to the load value, and the calculation method is as follows:
s v =P vv
wherein s is v For charging station capacity, and P v For charging load value, ρ v Is the load factor.
Preferably, the number of the energy storage stations is several, and the total capacity of the energy storage stations is 30% of daily average electric quantity of the line.
Preferably, the site selection combination considering the charging stations and the energy storage stations comprises at least one charging station and at least one energy storage station at the same time.
Preferably, the method for calculating the economic loss caused by the line loss comprises the following steps: and setting an average electricity price, and obtaining an economic loss result of the line loss by the product of the line loss value and the average electricity price.
Compared with the prior art, the invention has the following beneficial effects:
according to the power distribution network planning method based on distributed light storage and charging, combination modes comprising the charging stations and the energy storage stations are obtained through comprehensive consideration, the site selection scheme is determined through the judgment mode of each combination economic loss, the site selection of the charging stations and the energy storage stations which are (to be) accessed into the 10kV line of the distributed photovoltaic can be guided, the network loss generated by the line during operation after the line is built is reduced, and the line operation voltage quality is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be 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 preferred embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a flowchart of a power distribution network planning method based on distributed optical storage and charging according to the present invention;
FIG. 2 is a schematic view of an assembly according to the present invention;
fig. 3 is another schematic diagram of the present invention.
Detailed Description
In order to better understand the technical content of the invention, specific embodiments are provided below, and the invention is further described with reference to the accompanying drawings.
Referring to fig. 1 to 3, a method for planning a power distribution network based on distributed optical storage, the method comprising:
collecting data of a power distribution network on any power distribution line, wherein the data comprises data of static elements on the line and time sequence data of dynamic elements on the line;
splitting any distribution line into n sections, dividing the distribution line into n-1 nodes, marking the nodes with letters A, B, C, and arranging a charging station or an energy storage station at the nodes, and simultaneously acquiring time sequence data of static elements and dynamic elements on the n sections of lines, wherein the static elements comprise static elements such as switches, the dynamic elements comprise dynamic elements such as loads and distributed power supplies, and the acquired data are stored into power flow calculation software according to hours;
simultaneously acquiring electric vehicle data of a power supply area corresponding to the line, predicting a load value of the electric vehicle during charging, calculating a total capacity value of charging stations of the power supply area according to the load value, and constructing a plurality of charging station address selection combinations according to the total capacity value of the charging stations;
the electric vehicle data comprises data such as electric charging use and the like, and meanwhile, the load value of the electric vehicle during charging can be predicted by adopting the following formula:
Figure BDA0002302973550000041
wherein, a c Charge synchronization rate, k, for electric vehicles r The proportion of the electric automobile in the total amount of the automobile in a certain area, w eav Is the average battery capacity, t, of the electric vehicle e Is the average full time of the battery of the electric automobile,
Figure BDA0002302973550000042
the total amount of traffic per day, Σ k, for a plurality of lines in an area i Total parking amount, n, of a plurality of parking lots in a certain area i A charging load value for the charging station;
after the load value of the electric vehicle during charging is obtained, the total capacity value of the charging station in the power supply area can be calculated by adopting the following formula:
S V =P Vv
wherein S is v For charging station capacity, and P v For charging load value, ρ v In order to obtain the load factor, the load factor is the rated charging station load factor at saturation, and since the rated capacity of the charging station is usually the whole value of 1000kVA, 500kVA, 300kVA at the time of construction, a plurality of charging stations can be selected and combined according to the calculated total capacity value of the charging stations in the power supply area, and the rated capacity of the charging station is larger than the calculated total capacity value of the charging stations in the power supply area, for example, the calculated total capacity value of the charging stations in the power supply area is 1950kVA capacity, but the rated capacity of the charging station is usually the whole value of 1000kVA, 500kVA, 300kVA, and the whole value closest to 1950kVA is 2000kVA, therefore, the rated capacity of the charging station can be selected as 2000kVA plurality of charging station address combinations can be obtained: a. two 1000kVA charging stations; b. one 1000kVA charging station and two 500kVA charging stations;
the method comprises the following steps of simultaneously arranging energy storage stations at charging stations, simultaneously designing the total capacity of the energy storage stations, wherein the total capacity of the energy storage stations is 30% of the daily average electric quantity of a power distribution line, and during construction, the rated capacity of the energy storage stations is usually an integral value of 1, 3 and 5Mwh, so that a plurality of energy storage stations can be selected for combination according to the calculated total capacity value of the energy storage stations in a power supply area, the rated capacity of the energy storage stations is larger than the calculated total capacity value of the energy storage stations in the power supply area, for example, the calculated total capacity value of the charging stations in the power supply area is 1950KVA capacity, the calculated capacity of the energy storage stations in the power supply area is 5.4Mwh, and because the energy storage conditions of the energy storage stations are always in dynamic transformation, the rated capacity of the energy storage stations can be in a range value of 5-6Mwh, the rated capacity of the charging stations can be 2000KVA, and the following considerations and site selection combination of the energy storage stations can be obtained:
when the energy storage station is 6Mwh, the combination mode of the charging station and the energy storage station is as follows: a. one 1000kVA charging station, two 500kVA charging stations and two 3MWh energy storage stations; b. two 1000kVA charging stations and two 3MWh energy storage stations;
when the energy storage station is 5Mwh, the combination mode of the charging station and the energy storage station is as follows: a. one 1000kVA charging station, two 500kVA charging stations and one 5MWh energy storage station; b. two 1000kVA charging stations and one 5MWh energy storage station;
respectively calculating the line loss and the voltage offset of each addressing combination according to the addressing combination, wherein the calculation mode of the line loss is as follows: setting an average electricity price, and obtaining an economic loss result of the line loss by the product of the line loss value and the average electricity price; for example, when the energy storage station is 6Mwh, the line loss of the combination a obtained by the power flow calculation software is 3250 degrees, the average price of electricity is set to be 0.8 yuan/degree, and the economic loss of the combination a is 2600 yuan
Similarly, the electric quantity loss condition caused by the voltage deviation of the combination a is calculated through load flow calculation software, and meanwhile, the economic loss in the combination a is calculated according to the set average electricity price;
and when the sum of the economic loss caused by the line loss in the combination a and the combination b and the economic loss caused by the voltage offset are calculated respectively, comparing the economic losses in the combination a and the combination b respectively, and selecting the combination with the minimum economic loss as an addressing scheme.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (6)

1. A power distribution network planning method based on distributed optical storage and charging is characterized by comprising the following steps:
collecting power distribution network data on any power distribution line, and storing the power distribution network data into load flow calculation software, wherein the data comprises data of static elements on the line and time sequence data of dynamic elements on the line;
acquiring electric vehicle data of a power supply area corresponding to the line, predicting a load value of the electric vehicle during charging, calculating a total capacity value of charging stations of the power supply area according to the load value, and constructing a plurality of charging station address selection combinations according to the total capacity value of the charging stations;
energy storage stations are arranged at the charging stations at the same time, the total capacity of the energy storage stations is designed at the same time, and a plurality of energy storage station site selection combinations are constructed;
comprehensively considering the energy storage station site selection combination and the charging station site selection combination to obtain a plurality of site selection combinations considering the charging stations and the energy storage stations at the same time;
and respectively calculating the line loss and the voltage offset of each addressing combination according to the addressing combination, simultaneously calculating the economic loss caused by the line loss, calculating the economic loss caused by the voltage offset, obtaining the sum of the economic losses of each combination, and selecting the combination with the minimum economic loss as an addressing scheme.
2. The method for planning the power distribution network based on the distributed light storage and charging of claim 1, wherein predicting the load value of the electric vehicle during charging comprises: the calculation method comprises the following steps:
Figure FDA0003785993840000011
wherein, a c Is an electric steamVehicle charging coincidence rate, k e The proportion of the electric automobile in the total amount of the automobile in a certain area, w eav Is the average battery capacity, t, of the electric vehicle e Is the average full time of the battery of the electric automobile,
Figure FDA0003785993840000012
the total amount of traffic per day, sigma k, for a plurality of lines in a region i Total parking amount of a plurality of parking lots in a certain area, n i The charging load value of the charging station.
3. The method according to claim 2, wherein the capacity of the charging station in the power supply area is calculated according to the load value, and the calculation method comprises:
S V =P VV
wherein S is V For charging station capacity, and P V For charging load value, ρ V Is the load factor.
4. The method according to claim 1, wherein the number of the energy storage stations is several, and the total capacity of the energy storage stations is 30% of the daily average electricity of the line.
5. The method according to claim 1, wherein the site selection combination of the charging stations and the energy storage stations is considered to include at least one charging station and at least one energy storage station.
6. The method for planning the power distribution network based on the distributed optical storage and charging system of claim 1, wherein the method for calculating the economic loss caused by the line loss comprises the following steps: and setting an average electricity price, and obtaining an economic loss result of the line loss by the product of the line loss value and the average electricity price.
CN201911228842.1A 2019-12-04 2019-12-04 Distribution network planning method based on distributed optical storage and charging Active CN110826821B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911228842.1A CN110826821B (en) 2019-12-04 2019-12-04 Distribution network planning method based on distributed optical storage and charging

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911228842.1A CN110826821B (en) 2019-12-04 2019-12-04 Distribution network planning method based on distributed optical storage and charging

Publications (2)

Publication Number Publication Date
CN110826821A CN110826821A (en) 2020-02-21
CN110826821B true CN110826821B (en) 2022-11-11

Family

ID=69543878

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911228842.1A Active CN110826821B (en) 2019-12-04 2019-12-04 Distribution network planning method based on distributed optical storage and charging

Country Status (1)

Country Link
CN (1) CN110826821B (en)

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104866915B (en) * 2015-05-05 2018-08-28 湖南大学 Electric automobile charging station Method for optimized planning based on overall life cycle cost
CN105160428B (en) * 2015-08-19 2018-04-06 天津大学 The planing method of electric automobile on highway quick charge station
CN106410799B (en) * 2016-11-27 2019-04-16 东北电力大学 Site selecting method for electric automobile charging station in photovoltaic high permeability power distribution network
CN110210683A (en) * 2019-06-12 2019-09-06 海南电网有限责任公司 A kind of electric car electrically-charging equipment site selecting method

Also Published As

Publication number Publication date
CN110826821A (en) 2020-02-21

Similar Documents

Publication Publication Date Title
Liu et al. Hybrid renewable energy applications in zero-energy buildings and communities integrating battery and hydrogen vehicle storage
Müller et al. Evaluation of grid-level adaptability for stationary battery energy storage system applications in Europe
Luta et al. Optimal sizing of hybrid fuel cell-supercapacitor storage system for off-grid renewable applications
Liu et al. Electric vehicles and large-scale integration of wind power–The case of Inner Mongolia in China
Hedegaard et al. Wind power impacts and electricity storage–A time scale perspective
Xu et al. Optimal allocation of power supply systems in industrial parks considering multi-energy complementarity and demand response
He et al. An inter-city energy migration framework for regional energy balance through daily commuting fuel-cell vehicles
CN115360804B (en) Ordered charging system and ordered charging method
CN110165715B (en) Method for connecting electric vehicle energy storage type charging station into virtual power plant
CN106529737A (en) Planning and distribution method for peak load regulation power source on supply side of power distribution network
CN113746123A (en) Light storage and charging integrated power station system
CN108199367B (en) Power supply planning method based on medium-voltage distribution network unit grid
Li et al. Dynamic economic evaluation of hundred megawatt-scale electrochemical energy storage for auxiliary peak shaving
Wang et al. Analysis on storage power of electric vehicle charging station
Li et al. Multi-dimensional economy-durability optimization method for integrated energy and transportation system of net-zero energy buildings
CN103414201A (en) Regulation and control method of electric bus power battery cluster participating in sea island micro-grid operation
CN108448611B (en) Power grid structure construction method suitable for large-scale new energy delivery
Wang et al. Benefits analysis of energy storage system configured on the renewable energy gathering stations
CN113270884A (en) Power energy management system and method based on V2G microgrid system
CN110826821B (en) Distribution network planning method based on distributed optical storage and charging
CN115378004A (en) Distributed energy cluster configuration method and system comprising distributed energy storage system
CN109934414B (en) Incremental distribution network planning method with electric vehicle charging station
Moutis et al. Planned communities as microgrid applications
Karra et al. Smart Micro-Grid Energy Management with Renewable Energy Sources and Local SCADA
Li et al. Degradation Cost-Minimization Method on Net-Zero Energy Architectures with Intelligent Parking Lot

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant