CN113553701A - Storage and charging station simulation modeling method and terminal - Google Patents

Storage and charging station simulation modeling method and terminal Download PDF

Info

Publication number
CN113553701A
CN113553701A CN202110756692.2A CN202110756692A CN113553701A CN 113553701 A CN113553701 A CN 113553701A CN 202110756692 A CN202110756692 A CN 202110756692A CN 113553701 A CN113553701 A CN 113553701A
Authority
CN
China
Prior art keywords
converter
storage battery
energy storage
management strategy
power consumption
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.)
Granted
Application number
CN202110756692.2A
Other languages
Chinese (zh)
Other versions
CN113553701B (en
Inventor
石正平
刁东旭
郑其荣
李国伟
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.)
Fujian Times Nebula Technology Co Ltd
Original Assignee
Fujian Times Nebula Technology 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 Fujian Times Nebula Technology Co Ltd filed Critical Fujian Times Nebula Technology Co Ltd
Priority to CN202110756692.2A priority Critical patent/CN113553701B/en
Priority to PCT/CN2021/118996 priority patent/WO2023279533A1/en
Publication of CN113553701A publication Critical patent/CN113553701A/en
Application granted granted Critical
Publication of CN113553701B publication Critical patent/CN113553701B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • 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
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H02J3/322—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
    • 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
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/40—The network being an on-board power network, i.e. within a vehicle
    • H02J2310/48—The network being an on-board power network, i.e. within a vehicle for electric vehicles [EV] or hybrid vehicles [HEV]
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E70/00—Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/12—Electric charging stations

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Power Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a storage and charging station simulation modeling method and a terminal, wherein after parameter values and constraint conditions of an energy management strategy are set, the output amount of an energy storage battery and a converter is calculated according to the parameter values of the energy management strategy, and the charge state of the energy storage battery and the power consumption condition of the converter are calculated according to the calculation result; judging whether the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter all accord with the constraint conditions of the energy management strategy, and recording the simulation result corresponding to the energy management strategy if the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter accord with the constraint conditions of the energy management strategy and no equipment alarm exists during the execution of the energy management strategy; therefore, the set energy management strategy is subjected to simulation calculation, and whether the energy management strategy meets the execution condition is judged according to the simulation data, so that the operation result of the energy management strategy is automatically predicted.

Description

Storage and charging station simulation modeling method and terminal
Technical Field
The invention relates to the technical field of new energy, in particular to a storage and charging station simulation modeling method and a terminal.
Background
Due to the continuous decrease of the conventional energy and the pollution of the conventional energy to the environment, the utilization and development of new energy are advanced to a new level. The energy storage charging station comprises a group of energy storage batteries, a part of electric energy can be stored in the energy storage batteries in advance when the charging station is idle, and the electric energy is discharged when the electric automobile needs electricity after reserving, so that the output power of the charging station within a period of time is improved, and the electricity charge of the charging station is reduced by a peak clipping and valley filling mode.
However, due to the uncertainty of the charging and discharging requirements of the electric vehicle, the change of the service volume of the charging station, the change of the electricity fee scheme, the depreciation cost of charging and discharging the energy storage battery, the energy conversion efficiency and the operation safety of each electric appliance of the power station under different working conditions, and other problems, the performance of different devices may change in the using process, and the operation result of the energy management strategy is difficult to predict.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the storage and charging station simulation modeling method and the terminal can predict the operation result of the energy management strategy.
In order to solve the technical problems, the invention adopts the technical scheme that:
a storage and charging station simulation modeling method comprises the following steps:
setting parameter values and constraint conditions of an energy management strategy;
calculating the output limit of the converter and the energy storage battery according to the parameter value of the energy management strategy;
respectively calculating the charge state of the energy storage battery and the power consumption condition of the converter based on the output limit of the energy storage battery and the converter;
and judging whether the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter all accord with the constraint condition of the energy management strategy, if so, judging whether equipment alarm exists during simulation, and if not, recording a simulation result corresponding to the energy management strategy.
In order to solve the technical problem, the invention adopts another technical scheme as follows:
a storage and charging station simulation modeling terminal comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
setting parameter values and constraint conditions of an energy management strategy;
calculating the output limit of the converter and the energy storage battery according to the parameter value of the energy management strategy;
respectively calculating the charge state of the energy storage battery and the power consumption condition of the converter based on the output limit of the energy storage battery and the converter;
and judging whether the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter all accord with the constraint condition of the energy management strategy, if so, judging whether equipment alarm exists during simulation, and if not, recording a simulation result corresponding to the energy management strategy.
The invention has the beneficial effects that: after setting the parameter values and constraint conditions of the energy management strategy, calculating the output limit of the energy storage battery and the converter according to the parameter values of the energy management strategy, and calculating the charge state of the energy storage battery and the power consumption condition of the converter according to the calculation result; judging whether the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter all accord with the constraint conditions of the energy management strategy, and recording the simulation result corresponding to the energy management strategy if the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter accord with the constraint conditions of the energy management strategy and no equipment alarm exists during the execution of the energy management strategy; therefore, the set energy management strategy is subjected to simulation calculation, and whether the energy management strategy meets the execution condition is judged according to the simulation data, so that the operation result of the energy management strategy is automatically predicted.
Drawings
FIG. 1 is a flow chart of a storage and charging station simulation modeling method according to an embodiment of the invention;
fig. 2 is a schematic diagram of a storage and charging station simulation modeling terminal according to an embodiment of the invention;
fig. 3 is a flowchart illustrating specific steps of a simulation modeling method for a storage and charging station according to an embodiment of the present invention.
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
Referring to fig. 1 and fig. 3, an embodiment of the present invention provides a storage and charging station simulation modeling method, including:
setting parameter values and constraint conditions of an energy management strategy;
calculating the output limit of the converter and the energy storage battery according to the parameter value of the energy management strategy;
respectively calculating the charge state of the energy storage battery and the power consumption condition of the converter based on the output limit of the energy storage battery and the converter;
and judging whether the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter all accord with the constraint condition of the energy management strategy, if so, judging whether equipment alarm exists during simulation, and if not, recording a simulation result corresponding to the energy management strategy.
From the above description, the beneficial effects of the present invention are: after setting the parameter values and constraint conditions of the energy management strategy, calculating the output limit of the energy storage battery and the converter according to the parameter values of the energy management strategy, and calculating the charge state of the energy storage battery and the power consumption condition of the converter according to the calculation result; judging whether the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter all accord with the constraint conditions of the energy management strategy, and recording the simulation result corresponding to the energy management strategy if the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter accord with the constraint conditions of the energy management strategy and no equipment alarm exists during the execution of the energy management strategy; therefore, the set energy management strategy is subjected to simulation calculation, and whether the energy management strategy meets the execution condition is judged according to the simulation data, so that the operation result of the energy management strategy is automatically predicted.
Further, calculating the output quota of the converter and the energy storage battery according to the parameter value of the energy management strategy comprises:
acquiring voltage and current requests respectively received by a plurality of charging piles within a preset time period;
calculating the total power consumption requirements of the charging piles according to the request information of the voltage and current requests;
and calculating the output limit of the converter and the energy storage battery by combining the parameter value of the energy management strategy and the total power demand.
According to the description, the voltage and current requests received by the plurality of charging piles within the preset time period are obtained, the total power consumption requirements of the plurality of charging piles can be calculated, so that the output limit of the converter and the energy storage battery can be calculated by combining the parameter values of the energy management strategy and the total power consumption requirements, and the output limit can be calculated more accurately by combining the request information of the charging piles.
Further, respectively calculating the state of charge of the energy storage battery and the power consumption condition of the converter based on the output quota of the energy storage battery and the converter comprises:
calling energy storage battery model FessUpdating state of charge (SOC) of energy storage batteryiAnd DC bus voltage V of storage and charging stationi：
Vi,SOCi＝Fess(SOCi-1,Vi-1,We)；
In the formula, WeThe output amount of the energy storage battery is represented, i represents the time period;
calling a converter model FPCSCalculating the power consumption W of the AC current of the converterpaAnd the output power Ppa：
Wpa,Ppa＝FPCS(Wp,Δt)；
In the formula, WpAnd the output limit of the converter is represented, and delta t represents the difference value between the request starting time and the request ending time of the current and voltage request.
According to the description, the SOC of the energy storage battery and the voltage of the direct-current bus are updated through the energy storage battery model and the output amount of the energy storage battery, and the power consumption and the output power of the alternating current are calculated through the converter model and the output amount of the converter, so that the charge state of the energy storage battery and the power consumption condition of the converter can be accurately calculated through the simulation model, and a simulation result of the energy management strategy can be conveniently obtained.
Further, respectively calculating the state of charge of the energy storage battery and the power consumption condition of the converter based on the output quota of the energy storage battery and the converter comprises the following steps:
calling an auxiliary source model F of an energy management systemapCalculating auxiliary power consumption Wap：
Wap＝Fap(Δt)；
Where Δ t represents a difference between a request start time and a request end time of the current-voltage request.
From the above description, the auxiliary source power consumption is calculated by calling the auxiliary source model of the energy management system, so as to obtain the simulation result of the energy management policy.
Further, whether the output limit of the converter and the energy storage battery, the power consumption of the storage and charging station and the updated state of charge of the energy storage battery meet the constraint conditions of the energy management strategy or not is judged, and if not, a simulation record is generated and a simulation result is counted.
It can be known from the above description that when the operation result does not meet the constraint condition of the energy management policy, the data in the simulation process is recorded and the simulation result is counted, which can facilitate the modification and update of the energy management policy.
Referring to fig. 2, another embodiment of the present invention provides a storage and charging station simulation modeling terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the following steps:
setting parameter values and constraint conditions of an energy management strategy;
calculating the output limit of the converter and the energy storage battery according to the parameter value of the energy management strategy;
respectively calculating the charge state of the energy storage battery and the power consumption condition of the converter based on the output limit of the energy storage battery and the converter;
and judging whether the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter all accord with the constraint condition of the energy management strategy, if so, judging whether equipment alarm exists during simulation, and if not, recording a simulation result corresponding to the energy management strategy.
As can be seen from the above description, the beneficial effects of the present invention are: after setting the parameter values and constraint conditions of the energy management strategy, calculating the output limit of the energy storage battery and the converter according to the parameter values of the energy management strategy, and calculating the charge state of the energy storage battery and the power consumption condition of the converter according to the calculation result; judging whether the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter all accord with the constraint conditions of the energy management strategy, and recording the simulation result corresponding to the energy management strategy if the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter accord with the constraint conditions of the energy management strategy and no equipment alarm exists during the execution of the energy management strategy; therefore, the set energy management strategy is subjected to simulation calculation, and whether the energy management strategy meets the execution condition is judged according to the simulation data, so that the operation result of the energy management strategy is automatically predicted.
Further, calculating the output quota of the converter and the energy storage battery according to the parameter value of the energy management strategy comprises:
acquiring voltage and current requests respectively received by a plurality of charging piles within a preset time period;
calculating the total power consumption requirements of the charging piles according to the request information of the voltage and current requests;
and calculating the output limit of the converter and the energy storage battery by combining the parameter value of the energy management strategy and the total power demand.
According to the description, the voltage and current requests received by the plurality of charging piles within the preset time period are obtained, the total power consumption requirements of the plurality of charging piles can be calculated, so that the output limit of the converter and the energy storage battery can be calculated by combining the parameter values of the energy management strategy and the total power consumption requirements, and the output limit can be calculated more accurately by combining the request information of the charging piles.
Further, respectively calculating the state of charge of the energy storage battery and the power consumption condition of the converter based on the output quota of the energy storage battery and the converter comprises:
calling energy storage battery model FessUpdating state of charge (SOC) of energy storage batteryiAnd DC bus voltage V of storage and charging stationi：
Vi,SOCi＝Fess(SOCi-1,Vi-1,We)；
In the formula, WeThe output amount of the energy storage battery is represented, i represents the time period;
calling a converter model FPCSCalculating the power consumption W of the AC current of the converterpaAnd the output power Ppa：
Wpa,Ppa＝FPCS(Wp,Δt)；
In the formula, WpAnd the output limit of the converter is represented, and delta t represents the difference value between the request starting time and the request ending time of the current and voltage request.
According to the description, the SOC of the energy storage battery and the voltage of the direct-current bus are updated through the energy storage battery model and the output amount of the energy storage battery, and the power consumption and the output power of the alternating current are calculated through the converter model and the output amount of the converter, so that the charge state of the energy storage battery and the power consumption condition of the converter can be accurately calculated through the simulation model, and a simulation result of the energy management strategy can be conveniently obtained.
Further, respectively calculating the state of charge of the energy storage battery and the power consumption condition of the converter based on the output quota of the energy storage battery and the converter comprises the following steps:
calling an auxiliary source model F of an energy management systemapCalculating auxiliary power consumption Wap：
Wap＝Fap(Δt)；
Where Δ t represents a difference between a request start time and a request end time of the current-voltage request.
From the above description, the auxiliary source power consumption is calculated by calling the auxiliary source model of the energy management system, so as to obtain the simulation result of the energy management policy.
Further, whether the output limit of the converter and the energy storage battery, the power consumption of the storage and charging station and the updated state of charge of the energy storage battery meet the constraint conditions of the energy management strategy or not is judged, and if not, a simulation record is generated and a simulation result is counted.
It can be known from the above description that when the operation result does not meet the constraint condition of the energy management policy, the data in the simulation process is recorded and the simulation result is counted, which can facilitate the modification and update of the energy management policy.
The storage and charging station simulation modeling method and the terminal are suitable for simulating the energy management strategy, and can calculate economic cost indexes of power station operation under different configurations and energy management strategies in a simulation mode, and the following description is given by a specific implementation mode:
example one
Referring to fig. 1 and 3, a storage and charging station simulation modeling method includes the steps of:
and S1, setting parameter values and constraints of the energy management strategy.
Specifically, the initial values of the energy management strategy parameters in the simulation modeling are set, and include, but are not limited to, the current output power of a PCS (energy storage converter), the SOC (state of Charge) of an energy storage battery, the FCC (Full Charge Capacity) of the energy storage battery, the current output voltage and current of a DCDC (direct current converter), and the like;
and setting constraint conditions of an energy management strategy in simulation modeling, wherein the constraint conditions include but are not limited to PCS maximum power, energy storage battery capacity, energy storage battery maximum voltage and current output capacity, DCDC maximum voltage and current output capacity and the like.
And S2, calculating the output quota of the converter and the energy storage battery according to the parameter values of the energy management strategy.
The method comprises the steps of obtaining voltage and current requests respectively received by a plurality of charging piles within a preset time period;
calculating the total power consumption requirements of the charging piles according to the request information of the voltage and current requests;
and calculating the output limit of the converter and the energy storage battery by combining the parameter value of the energy management strategy and the total power demand.
Specifically, in this embodiment, a simulation record set S is established according to a requirement, where the record set S includes voltage and current requests of vehicles corresponding to charging piles 1 to n in m time periods and corresponding request time, and if a certain charging pile is not charged at a certain time, the request is 0.
Setting a time length threshold value W, and for the absolute value t of the time difference between any two records adjacent in time in the record set S, satisfying the following conditions: max (t) < ═ W, otherwise the record set is considered invalid;
and for the effective record set, extracting records according to the time sequence and carrying out simulation.
Obtaining a latest unprocessed electric vehicle charging request data from the simulation database, comprising: requested start time TsiEnd time T of requesteiAnd the voltage V requested by the vehicles 1-n corresponding to the charging piles 1-ni1～VinAnd the current I requested by the vehicles 1-n corresponding to the charging piles 1-ni1～Iin；
Calculating the power consumption W of the n charging piles at the time period ii1～Win，Wij＝Vij*Iij*ΔtiWhere Δ T ═ Tei-Tsi；
Calculating power consumption demand WD of direct current bus of n charging pilesi1～WDinThe calculation method comprises the following steps: WDij＝Wij/FDCj(Vij,Iij) In which F isDCjA DCDC conversion rate model corresponding to the charging pile j;
according to WDi1～WDinCalculating total power consumption demand WDS of the bus;
calculating PCS output limit W according to simulation strategypAnd the output limit W of the energy storage batteryeAnd according with the constraint condition: wds＝Wp+We。
And S3, respectively calculating the charge state of the energy storage battery and the power consumption condition of the converter based on the output quota of the energy storage battery and the converter.
Wherein an energy storage battery model F is calledessUpdating state of charge (SOC) of energy storage batteryiAnd DC bus voltage V of storage and charging stationi：
Vi,SOCi＝Fess(SOCi-1,Vi-1,We)；
In the formula, WeThe output amount of the energy storage battery is represented, i represents the time period;
calling a converter model FPCSCalculating the power consumption W of the AC current of the converterpaAnd the output power Ppa：
Wpa,Ppa＝FPCS(Wp,Δt)；
In the formula, WpAnd the output limit of the converter is represented, and delta t represents the difference value between the request starting time and the request ending time of the current and voltage request.
Based on the output limit of the energy storage battery and the converter, respectively calculating the state of charge of the energy storage battery and the power consumption condition of the converter and then comprising the following steps:
calling an auxiliary source model F of an energy management systemapCalculating auxiliary power consumption Wap：
Wap＝Fap(Δt)；
Where Δ t represents a difference between a request start time and a request end time of the current-voltage request.
In particular, in addition to calling the secondary source model F of the energy management systemapCalculating auxiliary power consumption WapAnd other models are required to be called to calculate the power consumption of other electrical appliances.
S4, judging whether the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter all accord with the constraint conditions of the energy management strategy, if so, judging whether an equipment alarm exists in the simulation period, and if not, recording the simulation result corresponding to the energy management strategy.
Specifically, whether the output limit of the converter and the energy storage battery, the charge state of the energy storage battery, the power consumption condition of the converter, the power consumption of an auxiliary source and the power consumption of other electric appliances meet the constraint conditions of the energy management strategy or not is judged, if yes, whether equipment alarm exists during simulation or not is judged, if no alarm exists, a simulation result is recorded, if alarm exists, an alarm event is recorded, and a simulation result is recorded, wherein the recorded simulation result is AC total power consumption, power consumption of each part and other simulation data; if not, generating a simulation record and counting the simulation result.
Example two
Referring to fig. 2, a storage and charging station simulation modeling terminal includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the storage and charging station simulation modeling method according to the first embodiment.
In summary, according to the storage and charging station simulation modeling method and the terminal provided by the invention, after the parameter values and the constraint conditions of the energy management strategy are set, the output capacities of the energy storage battery and the converter are calculated according to the parameter values of the energy management strategy, wherein the total power consumption requirements of a plurality of charging piles can be calculated by acquiring voltage and current requests received by the plurality of charging piles within a preset time period, so that the output capacities of the energy storage battery and the converter are equal to the total power consumption requirements, and the output capacity is calculated more accurately; calculating the charge state of the energy storage battery and the power consumption condition of the converter according to the output limit; judging whether the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter all accord with the constraint conditions of the energy management strategy, if so, recording the simulation result corresponding to the energy management strategy, if not, generating a simulation record and counting the simulation result, and facilitating the modification and update of the subsequent energy management strategy; therefore, the set energy management strategy is subjected to simulation calculation, and whether the energy management strategy meets the execution condition is judged according to the simulation data, so that the operation result of the energy management strategy is automatically predicted.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.

Claims (10)

1. A storage and charging station simulation modeling method is characterized by comprising the following steps:
setting parameter values and constraint conditions of an energy management strategy;
calculating the output limit of the converter and the energy storage battery according to the parameter value of the energy management strategy;
respectively calculating the charge state of the energy storage battery and the power consumption condition of the converter based on the output limit of the energy storage battery and the converter;
and judging whether the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter all accord with the constraint condition of the energy management strategy, if so, judging whether equipment alarm exists during simulation, and if not, recording a simulation result corresponding to the energy management strategy.
2. The storage and charging station simulation modeling method according to claim 1, wherein calculating the amount of output of the converter and the energy storage battery according to the parameter values of the energy management strategy comprises:
acquiring voltage and current requests respectively received by a plurality of charging piles within a preset time period;
calculating the total power consumption requirements of the charging piles according to the request information of the voltage and current requests;
and calculating the output limit of the converter and the energy storage battery by combining the parameter value of the energy management strategy and the total power demand.
3. The storage and charging station simulation modeling method according to claim 2, wherein calculating the state of charge of the energy storage battery and the power consumption condition of the converter respectively based on the output quota of the energy storage battery and the converter comprises:
calling energy storage battery model FessUpdating state of charge (SOC) of energy storage batteryiAnd DC bus voltage V of storage and charging stationi：
Vi,SOCi＝Fess(SOCi-1,Vi-1,We)；
In the formula, WeThe output amount of the energy storage battery is represented, i represents the time period;
calling a converter model FPCSCalculating the power consumption W of the AC current of the converterpaAnd the output power Ppa：
Wpa,Ppa＝FPCS(Wp,Δt)；
In the formula, WpAnd the output limit of the converter is represented, and delta t represents the difference value between the request starting time and the request ending time of the current and voltage request.
4. The storage and charging station simulation modeling method according to claim 2, wherein after the step of respectively calculating the state of charge of the energy storage battery and the power consumption condition of the converter based on the output quota of the energy storage battery and the converter comprises the following steps:
calling an auxiliary source model F of an energy management systemapCalculating auxiliary power consumption Wap：
Wap＝Fap(Δt)；
Where Δ t represents a difference between a request start time and a request end time of the current-voltage request.
5. The storage and charging station simulation modeling method according to claim 1, characterized by judging whether the output limit of the converter and the energy storage battery, the power consumption of the storage and charging station and the updated state of charge of the energy storage battery all meet the constraint conditions of the energy management strategy, and if not, generating a simulation record and counting the simulation result.
6. A storage and charging station simulation modeling terminal comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:
setting parameter values and constraint conditions of an energy management strategy;
calculating the output limit of the converter and the energy storage battery according to the parameter value of the energy management strategy;
respectively calculating the charge state of the energy storage battery and the power consumption condition of the converter based on the output limit of the energy storage battery and the converter;
and judging whether the output limit of the converter and the energy storage battery, the charge state of the energy storage battery and the power consumption condition of the converter all accord with the constraint condition of the energy management strategy, if so, judging whether equipment alarm exists during simulation, and if not, recording a simulation result corresponding to the energy management strategy.
7. The storage and charging station simulation modeling terminal of claim 6, wherein calculating the amount of output of the converter and the energy storage battery according to the parameter values of the energy management strategy comprises:
acquiring voltage and current requests respectively received by a plurality of charging piles within a preset time period;
calculating the total power consumption requirements of the charging piles according to the request information of the voltage and current requests;
and calculating the output limit of the converter and the energy storage battery by combining the parameter value of the energy management strategy and the total power demand.
8. The terminal according to claim 7, wherein the calculating the state of charge of the energy storage battery and the power consumption of the converter respectively based on the output quota of the energy storage battery and the converter comprises:
calling energy storage battery model FessUpdating the charge of an energy storage batteryState SOCiAnd DC bus voltage V of storage and charging stationi：
Vi,SOCi＝Fess(SOCi-1,Vi-1,We)；
In the formula, WeThe output amount of the energy storage battery is represented, i represents the time period;
calling a converter model FPCSCalculating the power consumption W of the AC current of the converterpaAnd the output power Ppa：
Wpa,Ppa＝FPCS(Wp,Δt)；
In the formula, WpAnd the output limit of the converter is represented, and delta t represents the difference value between the request starting time and the request ending time of the current and voltage request.
9. The terminal according to claim 7, wherein the calculating the state of charge of the energy storage battery and the power consumption of the converter based on the output limit of the energy storage battery and the converter respectively comprises:
calling an auxiliary source model F of an energy management systemapCalculating auxiliary power consumption Wap：
Wap＝Fap(Δt)；
Where Δ t represents a difference between a request start time and a request end time of the current-voltage request.
10. The storage and charging station simulation modeling terminal according to claim 6, wherein it is determined whether the output limit of the converter and the energy storage battery, the power consumption of the storage and charging station, and the updated state of charge of the energy storage battery all meet the constraint conditions of the energy management strategy, and if not, a simulation record is generated and a simulation result is counted.
CN202110756692.2A 2021-07-05 2021-07-05 Storage and charging station simulation modeling method and terminal Active CN113553701B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202110756692.2A CN113553701B (en) 2021-07-05 2021-07-05 Storage and charging station simulation modeling method and terminal
PCT/CN2021/118996 WO2023279533A1 (en) 2021-07-05 2021-09-17 Simulation modeling method for storage and charging station, and terminal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110756692.2A CN113553701B (en) 2021-07-05 2021-07-05 Storage and charging station simulation modeling method and terminal

Publications (2)

Publication Number Publication Date
CN113553701A true CN113553701A (en) 2021-10-26
CN113553701B CN113553701B (en) 2022-04-26

Family

ID=78102683

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110756692.2A Active CN113553701B (en) 2021-07-05 2021-07-05 Storage and charging station simulation modeling method and terminal

Country Status (2)

Country Link
CN (1) CN113553701B (en)
WO (1) WO2023279533A1 (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105069186A (en) * 2015-07-15 2015-11-18 中国电力科学研究院 Model verification method for energy storage current transformer
CN108365620A (en) * 2018-02-08 2018-08-03 中国电力科学研究院有限公司 A kind of method and device that energy-storage system is emulated based on Equivalent Model
CN109301849A (en) * 2018-09-11 2019-02-01 国网浙江省电力有限公司电力科学研究院 A kind of energy management combination control tactics of user side battery energy storage power station
CN111049168A (en) * 2019-11-18 2020-04-21 华北电力科学研究院有限责任公司 Energy management and control method and system for battery energy storage system
CN112550047A (en) * 2020-11-13 2021-03-26 国电南瑞南京控制系统有限公司 Optimal configuration method and device for light charging and storage integrated charging station

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014150641A (en) * 2013-01-31 2014-08-21 Toshiba Corp Energy management system, energy management method, program, and server device
CN104362677B (en) * 2014-11-19 2017-08-11 云南电网公司电力科学研究院 A kind of active distribution network distributes structure and its collocation method rationally
CN112418605A (en) * 2020-10-19 2021-02-26 国网上海市电力公司 Optimal operation method for energy storage system of optical storage type charging station

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105069186A (en) * 2015-07-15 2015-11-18 中国电力科学研究院 Model verification method for energy storage current transformer
CN108365620A (en) * 2018-02-08 2018-08-03 中国电力科学研究院有限公司 A kind of method and device that energy-storage system is emulated based on Equivalent Model
CN109301849A (en) * 2018-09-11 2019-02-01 国网浙江省电力有限公司电力科学研究院 A kind of energy management combination control tactics of user side battery energy storage power station
CN111049168A (en) * 2019-11-18 2020-04-21 华北电力科学研究院有限责任公司 Energy management and control method and system for battery energy storage system
CN112550047A (en) * 2020-11-13 2021-03-26 国电南瑞南京控制系统有限公司 Optimal configuration method and device for light charging and storage integrated charging station

Also Published As

Publication number Publication date
WO2023279533A1 (en) 2023-01-12
CN113553701B (en) 2022-04-26

Similar Documents

Publication Publication Date Title
US10663526B2 (en) Battery management terminal and battery management system
US6639385B2 (en) State of charge method and apparatus
EP2178187B1 (en) Power source system, vehicle having the system, and control method for the power source system
CN111361450B (en) Range extender control method, device, equipment and storage medium
US20110202197A1 (en) Power supply system and power supply control method
CN109361245A (en) The power adjustment method, apparatus and storage medium of charging station
JP6729985B2 (en) Storage battery system charge control device, storage battery system and storage battery charge control method
JP2020524803A (en) SOC-OCV profile estimation method and apparatus
CN111376778B (en) Charging pile control method and device, computer equipment and storage medium
Zhang et al. Reinforcement learning-based intelligent energy management architecture for hybrid construction machinery
CN110957544B (en) Control device for lithium ion battery, control method for lithium ion battery and storage medium
Chen et al. Online energy management of plug-in hybrid electric vehicles for prolongation of all-electric range based on dynamic programming
CN113067370B (en) Charging control method and device of V2G charging station, server and storage medium
CN110133515B (en) Method and device for determining remaining energy of battery
JP7137760B2 (en) Charge/discharge control method for secondary battery
CN113553701B (en) Storage and charging station simulation modeling method and terminal
CN112285568A (en) Estimation method of residual discharge time based on energy state of power lithium battery
CN113568307B (en) Control strategy optimization method for storage and charging station and terminal
CN114035064A (en) Battery charge state correction method and device, vehicle and storage medium
CN110429628B (en) Energy storage valley filling method and device based on load self-adaption
CN107202963B (en) Method for estimating battery SOC
CN116544920B (en) Residential area electric automobile night charging optimal control method, equipment and storage medium
CN113665402B (en) Ordered charging method for charging pile clusters based on battery charging characteristics
JP7426332B2 (en) Charging control device
WO2023176423A1 (en) Battery degradation amount determination method, battery management unit, and battery pack

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