CN116565916A - Response method and device for participation of converter load equipment in power grid balance adjustment - Google Patents
Response method and device for participation of converter load equipment in power grid balance adjustment Download PDFInfo
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
- B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
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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
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
-
- 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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
- H02J3/241—The oscillation concerning frequency
-
- 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
-
- 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
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
-
- 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]
-
- 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
- H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
- H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
- H02J2310/62—The condition being non-electrical, e.g. temperature
- H02J2310/64—The condition being economic, e.g. tariff based load management
-
- 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
- H02J2310/70—Load identification
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention relates to the technical field of distributed energy storage and alternating current-direct current charging pile load interaction, and particularly provides a response method and device for participation of converter load equipment in power grid balance adjustment, wherein the response method comprises the following steps: identifying the type of the converter load equipment, and acquiring the frequency variation and the voltage variation of the converter load equipment at the access grid node; the method comprises the steps of adjusting the converter load equipment based on the type of the converter load equipment, the frequency variation and the voltage variation of the converter load equipment at the access grid node. The technical scheme provided by the invention can be used for widely accessing the residual capacity and the adjustment potential of the load equipment of the converter, and is beneficial to relieving the state of real-time unbalance of the supply and demand of the novel power system from the load side.
Description
Technical Field
The invention relates to the technical field of distributed energy storage and alternating current-direct current charging pile load interaction, in particular to a response method and a response device for participation of converter load equipment in power grid balance adjustment.
Background
In recent years, load-side energy storage resources have become one of the important energy carriers of new power systems. The converter load equipment resources are significant in participation in the cooperative operation and interactive response of the source network load storage of the novel power system.
The distributed energy storage has the advantages of high response speed, high output power control precision, flexible access position and the like, and is an important means for realizing flexible adjustment of the power system. How to utilize the adjustable capacity of distributed energy storage to participate in the demand response of the power system is a key problem of flexible adjustment towards the network load interaction demand of the novel power system. The existing method is to carry out demand response and multi-type superior signal adjustment on an embedded module of an installation demand response technology, but the method has strong dependence on dispatching instructions of a power grid center station, belongs to passive adjustment and control, and is difficult to actively meet the real-time adjustment and control demands of a power supply network in a park area in real time.
Further, the electric automobile has the advantages of strong adjustability, high response speed, flexible adjustment mode and the like, and along with the continuous improvement of the holding capacity of residents of the electric automobile, the electric automobile can provide multiple auxiliary services for the demand response of an electric power system after effective aggregation. How to reasonably plan the charging behavior of the electric automobile and improve the interaction capability of the automobile and the network are key problems. One of the methods is to charge the electric vehicle in order. The practical and effective economic or technical measures are used for guiding and controlling the electric automobile to charge, peak clipping and valley filling are carried out on the power grid load curve, and the coordinated interactive development of the electric automobile and the power grid is realized. However, the method has strong dependence on the formulation of the control strategy and the design of the corresponding control module. And secondly, the new V2G technology is utilized to change the charging and discharging modes of the electric automobile and serve as the buffer of the power grid and the renewable energy gap. But the V2G technology mainly depends on interconnection technologies such as vehicle-network communication, transmission and the like, and meanwhile, the implementation of the large-scale V2G technology also needs to update the existing charging pile device, so that the transformation cost is high.
The existing technologies such as demand response terminal adjustment, orderly charging, V2G vehicle network interaction and the like can realize distributed energy storage and interactive operation of the electric vehicle and the power network. The above modes focus on passive response to upper system adjustment instructions and passive policy generation. The existing regulating system is huge in level and scale, a certain time is needed for strategy generation and issuing, and regulating instructions have certain periodicity and timeliness. With the continuing improvement of permeability, the problems of random rapid fluctuation of the power generation output of the system, hard gaps of the power supply capacity of the power grid and the like can lead to quicker changes of the frequency, the voltage and the like of the system, and in the scene, the regulation-oriented timeliness requirement only has certain feasibility under the condition of lower regulation frequency.
Disclosure of Invention
In order to overcome the defects, the invention provides a response method and a response device for participation of converter load equipment in power grid balance adjustment.
In a first aspect, a response method for a converter load device to participate in power grid balance adjustment is provided, where the response method for the converter load device to participate in power grid balance adjustment includes:
identifying the type of converter load equipment connected to a power grid, and acquiring the frequency variation and the voltage variation of the power grid;
The converter load device is regulated based on the type of the converter load device, the frequency variation and the voltage variation of the power grid.
Preferably, the identifying the type of the converter load device connected to the power grid includes:
when the direction of the phase angle difference between the voltage and the current at the node of the power grid accessed by the converter load equipment is changed, the type of the converter load equipment is a power control type energy storage unit;
when the effective value of the input current of the converter load equipment is kept unchanged in a preset time period and the waveform of the input current of the converter load equipment is sine wave, the type of the converter load equipment is a current control type electric automobile charging device.
Preferably, the process for obtaining the voltage variation includes:
performing dq conversion on the three-phase voltage of the power grid to obtain a d-axis voltage component;
and taking the difference between the d-axis voltage component and the rated value of the power grid voltage as the voltage variation.
Preferably, the process of obtaining the frequency variation includes:
performing dq conversion on the three-phase voltage of the power grid to obtain a q-axis voltage component;
filtering the q-axis voltage component through a secondary wave trap to obtain an intermediate frequency;
the frequency variation is determined based on the intermediate frequency.
Further, the q-axis voltage component is calculated as follows:
V q =V + +V - cos(2ωt+ψ - )
in the above, V q For the q-axis voltage component, V + Is the positive sequence voltage of the power grid, V - Is the negative sequence voltage of the power grid, omega is the three-phase voltage frequency of the power grid, t is the current moment, and psi - Is the negative sequence voltage phase angle of the power grid.
Further, the frequency variation is calculated as follows:
Δf=(ω 1 /s)-f rate
in the above formula, Δf is the frequency variation, s is the integral operator, ω 1 For intermediate frequency, f rate Is the system frequency rating.
Preferably, the adjusting the converter load device based on the type of the converter load device, the frequency variation and the voltage variation of the power grid includes:
when the type of the converter load equipment is a power control type energy storage unit, the reactive power reference value of a single energy storage unit connected to a power grid is adjusted according to the following formula:
Q ref+ = Q ref ±aΔV
in the above, Q ref+ For the reactive power reference value of the energy storage unit after adjustment, a is a reactive power given adjustment coefficient, deltaV is voltage variation, Q ref The initial value of the reactive power reference value of the energy storage unit;
wherein the reactive power reference value of the energy storage unit after adjustment meets Q ref+ -Q ref ≤Q ad ，Q ad The capacity is adjustable for reactive power.
Further, the calculation formula of the reactive power adjustable capacity is as follows:
Q ad =(SOC max -SOC 0 )Q N /ηT
In the above, SOC max For maximum charge rate of energy storage unit, SOC 0 For the initial charge rate of the energy-storage unit, Q N The capacity rating value can be adjusted for the reactive power of the energy storage unit, eta is the energy storage efficiency of the energy storage unit, and T is the adjustment time.
Preferably, the adjusting the converter load device based on the type of the converter load device, the frequency variation and the voltage variation of the power grid includes:
when the type of the converter load equipment is a power control type energy storage unit, the active power reference value of an energy storage unit cluster connected to a power grid is adjusted according to the following formula:
P ref+ = P ref ±bΔf
when the type of the converter load equipment is a current control type electric vehicle charging device, the output current reference value of the electric vehicle charging device cluster is adjusted according to the following formula:
I ref+ =I ref ±cΔf
in the above, P ref+ For adjusting the active power reference value of the rear energy storage unit cluster, b is the active power given adjusting coefficient, Δf is the frequency variation, and P ref For the initial value of the active power reference value of the energy storage unit cluster, I ref+ I is used for adjusting the output current reference value of the rear electric automobile charging device cluster ref An initial value of an output current reference value of the electric vehicle charging device cluster, wherein c is a proportionality coefficient;
the active power reference value of the energy storage unit cluster after adjustment meets the following conditions: p (P) ref+ -P ref ≤P ad ，P ad The capacity is adjustable for the active power of the energy storage unit cluster.
Further, the calculation formula of the active power adjustable capacity of the energy storage unit cluster is as follows:
P ad =∑ i (SOC maxi -SOC 0i )P Ni /η i T
in the above, SOC maxi Maximum charge rate of the ith energy storage unit, SOC 0i For the initial charge rate, P, of the ith energy storage cell Ni Adjustable capacity setpoint, η, for the active power of the ith energy storage unit i For the energy storage efficiency of the ith energy storage unit, T is the regulating time, i is E [1, n]N is the total number of devices in the energy storage unit cluster.
Further, the adjusting the converter load device based on the type of the converter load device, the frequency variation and the voltage variation of the power grid includes:
substituting the active power reference value of the energy storage unit cluster after adjustment and the output current reference value of the electric vehicle charging device cluster after adjustment into a pre-built optimal control model and solving to obtain the active power reference value of the single energy storage unit in the energy storage unit cluster and the output current reference value of the single electric vehicle charging device in the electric vehicle charging device cluster;
and obtaining a current transformer load equipment adjusting scheme based on the active power reference value of the single energy storage unit in the energy storage unit cluster and the output current reference value of the single electric vehicle charging device in the electric vehicle charging device cluster, and adjusting the current transformer load equipment based on the current transformer load equipment adjusting scheme.
Further, the pre-constructed optimization control model includes: objective functions and constraints for the converter load devices to participate in the grid balance adjustment configuration.
Further, the mathematical model of the objective function is as follows:
minF=∑ n C i T i P ref+i +∑ m C j T j I ref+j U j
in the above, n is the total number of devices in the energy storage unit cluster, F is the target value, and C i For the running cost of the ith energy storage unit, T i For the operation time of the ith energy storage unit, P ref+i For the i-th energy storage unit active power reference value, C j For the operation cost of the j-th electric automobile charging device, T j For the running time of the j-th electric automobile charging device, I ref+j Charging device for j-th electric automobileOutput current reference value of U j And accessing the voltage of the power grid node for the jth electric vehicle charging device, wherein m is the total number of devices in the electric vehicle charging device cluster.
Further, the constraint condition includes: the energy storage cluster adjusts the power constraint, the charging pile cluster adjusts the current constraint, the system power flow balance constraint and the inequality constraint.
Further, the mathematical model of the energy storage cluster adjustment power constraint is as follows:
P ref+ =∑ n P ref+i
the mathematical model of the charging pile cluster regulating current constraint is as follows:
I ref+ =∑ m I ref+j 。
further, the mathematical model of the inequality constraint is as follows:
U jmin ≤U j ≤U jmax
L jmin ≤L j ≤L jmax
P ref+imin ≤P ref+i ≤P ref+imax
I ref+jmin ≤I ref+j ≤I ref+jmax
In the above, U jmin Connecting a j-th electric vehicle charging device to a voltage minimum value of a power grid node, U jmax Connecting a voltage maximum value L of a power grid node to a jth electric vehicle charging device jmin The capacity of the circuit where the j-th electric automobile charging device is connected to the power grid node is limited by the lower limit, L j The capacity L of the line where the j-th electric automobile charging device is connected to the power grid node is jmax The upper limit of capacity allowance of a line where the j-th electric automobile charging device is connected with a power grid node is, P ref+imin The lower limit value of the active power reference value of the ith energy storage unit, P ref+imax An upper limit value of an active power reference value of the ith energy storage unit, I ref+jmin The lower limit value of the output current reference value of the j-th electric automobile charging device is I ref+jmax And the upper limit value of the output current reference value of the jth electric vehicle charging device.
In a second aspect, a response device for participation in power grid balance adjustment of a converter load device is provided, where the response device for participation in power grid balance adjustment of the converter load device includes:
the acquisition module is used for identifying the type of the converter load equipment connected to the power grid and acquiring the frequency variation and the voltage variation of the power grid;
the adjusting module is used for adjusting the converter load equipment based on the type of the converter load equipment, the frequency variation and the voltage variation of the power grid.
Preferably, the acquiring module is specifically configured to:
when the direction of the phase angle difference between the voltage and the current at the node of the power grid accessed by the converter load equipment is changed, the type of the converter load equipment is a power control type energy storage unit;
when the effective value of the input current of the converter load equipment is kept unchanged in a preset time period and the waveform of the input current of the converter load equipment is sine wave, the type of the converter load equipment is a current control type electric automobile charging device.
Preferably, the adjusting module is specifically configured to:
when the type of the converter load equipment is a power control type energy storage unit, the reactive power reference value of a single energy storage unit connected to a power grid is adjusted according to the following formula:
Q ref+ = Q ref ±aΔV
in the above, Q ref+ For the reactive power reference value of the energy storage unit after adjustment, a is a reactive power given adjustment coefficient, deltaV is voltage variation, Q ref The initial value of the reactive power reference value of the energy storage unit;
wherein the reactive power reference value of the energy storage unit after adjustment meets Q ref+ -Q ref ≤Q ad ，Q ad The capacity is adjustable for reactive power.
Further, the calculation formula of the reactive power adjustable capacity is as follows:
Q ad =(SOC max -SOC 0 )Q N /ηT
in the above, SOC max For maximum charge rate of energy storage unit, SOC 0 For the initial charge rate of the energy-storage unit, Q N The capacity rating value can be adjusted for the reactive power of the energy storage unit, eta is the energy storage efficiency of the energy storage unit, and T is the adjustment time.
Preferably, the adjusting module is specifically configured to:
when the type of the converter load equipment is a power control type energy storage unit, the active power reference value of an energy storage unit cluster connected to a power grid is adjusted according to the following formula:
P ref+ = P ref ±bΔf
when the type of the converter load equipment is a current control type electric vehicle charging device, the output current reference value of the electric vehicle charging device cluster is adjusted according to the following formula:
I ref+ =I ref ±cΔf
in the above, P ref+ For adjusting the active power reference value of the rear energy storage unit cluster, b is the active power given adjusting coefficient, Δf is the frequency variation, and P ref For the initial value of the active power reference value of the energy storage unit cluster, I ref+ I is used for adjusting the output current reference value of the rear electric automobile charging device cluster ref An initial value of an output current reference value of the electric vehicle charging device cluster, wherein c is a proportionality coefficient;
the active power reference value of the energy storage unit cluster after adjustment meets the following conditions: p (P) ref+ -P ref ≤P ad ，P ad The capacity is adjustable for the active power of the energy storage unit cluster.
Further, the calculation formula of the active power adjustable capacity of the energy storage unit cluster is as follows:
P ad =∑ i (SOC maxi -SOC 0i )P Ni /η i T
In the above, SOC maxi Maximum charge rate of the ith energy storage unit, SOC 0i For the initial charge rate, P, of the ith energy storage cell Ni Adjustable capacity setpoint, η, for the active power of the ith energy storage unit i For the energy storage efficiency of the ith energy storage unit, T is the regulationTime, i.e. [1, n ]]N is the total number of devices in the energy storage unit cluster.
Further, the adjusting module is specifically configured to:
substituting the active power reference value of the energy storage unit cluster after adjustment and the output current reference value of the electric vehicle charging device cluster after adjustment into a pre-built optimal control model and solving to obtain the active power reference value of the single energy storage unit in the energy storage unit cluster and the output current reference value of the single electric vehicle charging device in the electric vehicle charging device cluster;
and obtaining a current transformer load equipment adjusting scheme based on the active power reference value of the single energy storage unit in the energy storage unit cluster and the output current reference value of the single electric vehicle charging device in the electric vehicle charging device cluster, and adjusting the current transformer load equipment based on the current transformer load equipment adjusting scheme.
Further, the pre-constructed optimization control model includes: objective functions and constraints for the converter load devices to participate in the grid balance adjustment configuration.
In a third aspect, there is provided a computer device comprising: one or more processors;
the processor is used for storing one or more programs;
and when the one or more programs are executed by the one or more processors, implementing a response method for the converter load equipment to participate in power grid balance adjustment.
In a fourth aspect, a computer readable storage medium is provided, on which a computer program is stored, said computer program, when executed, implementing a response method for the converter load device to participate in a grid balance adjustment.
The technical scheme provided by the invention has at least one or more of the following beneficial effects:
the invention provides a response method and a device for participation of converter load equipment in power grid balance adjustment, wherein the response method comprises the following steps: identifying the type of the converter load equipment, and acquiring the frequency variation and the voltage variation of the converter load equipment at the access grid node; the method comprises the steps of adjusting the converter load equipment based on the type of the converter load equipment, the frequency variation and the voltage variation of the converter load equipment at the access grid node. The technical scheme provided by the invention is mainly oriented to a distributed energy storage and electric automobile charging pile system comprising a direct power control type power conversion module and a current control type power conversion module, can be embedded into a demand response terminal matched with the existing interface or independently packaged into an independent regulating software module, and can be widely applied to various scenes of energy storage and electric automobile charging piles in residential communities, large commercial buildings, industrial parks and the like through non-destructive and non-contact simple transformation. The disc activity is widely connected into the residual capacity and the adjustment potential of the power electronic load equipment, the capacity of the power conversion module for actively and flexibly responding to the power grid is improved, and the state of real-time unbalance of the supply and demand of the novel power system and the rapid and autonomous adjustment requirement are relieved from the load side.
Drawings
Fig. 1 is a flow chart of main steps of a response method of a converter load device participating in power grid balance adjustment according to an embodiment of the present invention;
fig. 2 is a main structural block diagram of a response device of a converter load device participating in power grid balance adjustment according to an embodiment of the present invention.
Detailed Description
The following describes the embodiments of the present invention in further detail with reference to the drawings.
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.
As disclosed in the background art, in recent years, load-side energy storage resources have become one of the important energy carriers of new power systems. The converter load equipment resources are significant in participation in the cooperative operation and interactive response of the source network load storage of the novel power system.
The distributed energy storage has the advantages of high response speed, high output power control precision, flexible access position and the like, and is an important means for realizing flexible adjustment of the power system. How to utilize the adjustable capacity of distributed energy storage to participate in the demand response of the power system is a key problem of flexible adjustment towards the network load interaction demand of the novel power system. The existing method is to carry out demand response and multi-type superior signal adjustment on an embedded module of an installation demand response technology, but the method has strong dependence on dispatching instructions of a power grid center station, belongs to passive adjustment and control, and is difficult to actively meet the real-time adjustment and control demands of a power supply network in a park area in real time.
Further, the electric automobile has the advantages of strong adjustability, high response speed, flexible adjustment mode and the like, and along with the continuous improvement of the holding capacity of residents of the electric automobile, the electric automobile can provide multiple auxiliary services for the demand response of an electric power system after effective aggregation. How to reasonably plan the charging behavior of the electric automobile and improve the interaction capability of the automobile and the network are key problems. One of the methods is to charge the electric vehicle in order. The practical and effective economic or technical measures are used for guiding and controlling the electric automobile to charge, peak clipping and valley filling are carried out on the power grid load curve, and the coordinated interactive development of the electric automobile and the power grid is realized. However, the method has strong dependence on the formulation of the control strategy and the design of the corresponding control module. And secondly, the new V2G technology is utilized to change the charging and discharging modes of the electric automobile and serve as the buffer of the power grid and the renewable energy gap. But the V2G technology mainly depends on interconnection technologies such as vehicle-network communication, transmission and the like, and meanwhile, the implementation of the large-scale V2G technology also needs to update the existing charging pile device, so that the transformation cost is high.
The existing technologies such as demand response terminal adjustment, orderly charging, V2G vehicle network interaction and the like can realize distributed energy storage and interactive operation of the electric vehicle and the power network. The above modes focus on passive response to upper system adjustment instructions and passive policy generation. The existing regulating system is huge in level and scale, a certain time is needed for strategy generation and issuing, and regulating instructions have certain periodicity and timeliness. With the continuing improvement of permeability, the problems of random rapid fluctuation of the power generation output of the system, hard gaps of the power supply capacity of the power grid and the like can lead to quicker changes of the frequency, the voltage and the like of the system, and in the scene, the regulation-oriented timeliness requirement only has certain feasibility under the condition of lower regulation frequency.
At present, there are patents for researching load interaction of distributed energy storage and alternating current-direct current charging piles, for example:
technical proposal of the prior art
Patent: ordered charging method and device for electric automobile, terminal equipment and medium CN115173448A
The invention relates to an ordered charging method, device, terminal equipment and medium for an electric automobile, and provides an ordered charging method, device, terminal equipment and medium for an electric automobile.
Shortcomings of the prior art
The invention in the first technology designs an ordered charging method for electric vehicles, which can effectively realize vehicle-network interaction, but the method only utilizes the constraint conditions of the existing electric vehicle such as power, battery power, energy consumption requirement and the like to establish a cost model for carrying out method design, can not collect unbalanced information of a power grid in real time, and carries out a real-time requirement response action.
Technical proposal of the second prior art
Patent: electric automobile charge-discharge control method CN107272445A based on active disturbance rejection controller
The invention relates to an electric automobile charge-discharge control method based on an active disturbance rejection controller, provides a novel PWM charge-discharge circuit modeling method, finds an intelligent control strategy based on an observer, does not depend on an accurate mathematical model of an object, has higher dynamic performance, can inhibit parameter change, disturbance and various uncertainty disturbances, namely, has strong robustness, and is simple in algorithm, easy in design and parameter adjustment and convenient to use.
Disadvantages of the second prior art
The control method provided by the invention in the second technology mainly adjusts the given active power P and reactive power Q according to the upper regulation and control instruction sent by the power grid company, and lacks a response method for actively participating in the balance adjustment of the power grid.
Technical proposal of the third prior art
Patent: energy storage participation demand response method and device and medium CN115459313A
The invention relates to an energy storage participation demand response method, device and medium, and provides an energy storage participation demand response method, device and medium, wherein the response mode of the energy storage participation demand response is determined by acquiring the electricity utilization change value and peak clipping and valley filling response load of the user participation demand response, so that the problems of single demand response mode and energy storage transitional charge and discharge prevention are solved, the response flexibility and response capacity are improved, and the service life attenuation of an energy storage system is reduced.
Shortcomings of the third prior art
The method for energy storage participation demand response provided by the invention in the third technology mainly relies on collection of electricity utilization change values of participation demand response of a user side to adjust the mode of energy storage participation demand response, lacks interconnection relation with a power grid, and cannot effectively identify and extract unbalanced quantity of the power grid in real time so as to realize active participation of an energy storage unit in balance adjustment of the power grid.
In order to improve the problems, the invention provides a response method and a device for participating in power grid balance adjustment of converter load equipment, comprising the following steps: identifying the type of the converter load equipment, and acquiring the frequency variation and the voltage variation of the converter load equipment at the access grid node; the method comprises the steps of adjusting the converter load equipment based on the type of the converter load equipment, the frequency variation and the voltage variation of the converter load equipment at the access grid node. The technical scheme provided by the invention is mainly oriented to a distributed energy storage and electric automobile charging pile system comprising a direct power control type power conversion module and a current control type power conversion module, can be embedded into a demand response terminal matched with the existing interface or independently packaged into an independent regulating software module, and can be widely applied to various scenes of energy storage and electric automobile charging piles in residential communities, large commercial buildings, industrial parks and the like through non-destructive and non-contact simple transformation. The disc activity is widely connected into the residual capacity and the adjustment potential of the power electronic load equipment, the capacity of the power conversion module for actively and flexibly responding to the power grid is improved, and the state of real-time unbalance of the supply and demand of the novel power system and the rapid and autonomous adjustment requirement are relieved from the load side.
The above-described scheme is explained in detail below.
Example 1
Referring to fig. 1, fig. 1 is a schematic flow chart of main steps of a response method of a converter load device participating in power grid balance adjustment according to an embodiment of the present invention. As shown in fig. 1, the response method of the converter load device in the embodiment of the invention for participating in the power grid balance adjustment mainly comprises the following steps:
step S101: identifying the type of converter load equipment connected to a power grid, and acquiring the frequency variation and the voltage variation of the power grid;
step S102: the converter load device is regulated based on the type of the converter load device, the frequency variation and the voltage variation of the power grid.
In this embodiment, the identifying the type of the converter load device accessing the power grid includes:
when the direction of the phase angle difference between the voltage and the current at the node of the power grid accessed by the converter load equipment is changed, the type of the converter load equipment is a power control type energy storage unit;
when the effective value of the input current of the converter load equipment is kept unchanged in a preset time period and the waveform of the input current of the converter load equipment is sine wave, the type of the converter load equipment is a current control type electric automobile charging device.
In one embodiment, the control loop information and the load type information of the load device can be directly identified by matching the communication interface and the protocol in a communication mode;
in this embodiment, when the grid voltage is three-phase, the ideal three-phase grid voltage contains only the fundamental positive sequence component when the grid voltage is balanced, and it is known by detection that the actual grid voltage may contain the negative sequence component and various harmonic components.
In particular, when the power grid detection voltage is a single-phase voltage, the single-phase voltage signal can be equivalently a special case of unbalanced three-phase voltage, the single-phase voltage is taken as an A phase, and voltages of the other two phases of B phase and C phase are zero, so that a group of unbalanced three-phase voltages is formed, and then sequence component decomposition can be performed.
In this embodiment, the process of obtaining the voltage variation includes:
performing dq conversion on the three-phase voltage of the power grid to obtain a d-axis voltage component;
and taking the difference between the d-axis voltage component and the rated value of the power grid voltage as the voltage variation.
In this embodiment, the process of obtaining the frequency variation includes:
performing dq conversion on the three-phase voltage of the power grid to obtain a q-axis voltage component;
filtering the q-axis voltage component through a secondary wave trap to obtain an intermediate frequency;
The frequency variation is determined based on the intermediate frequency.
Wherein, the calculation formula of the q-axis voltage component is as follows:
V q =V + +V - cos(2ωt+ψ - )
in the above, V q For the q-axis voltage component, V + Is the positive sequence voltage of the power grid, V - Is the negative sequence voltage of the power grid, omega is the three-phase voltage frequency of the power grid, t is the current moment, and psi - Is the negative sequence voltage phase angle of the power grid.
Wherein, the calculation formula of the frequency variation is as follows:
Δf=(ω 1 /s)-f rate
in the above formula, Δf is the frequency variation, s is the integral operator, ω 1 For the intermediate frequency，f rate Is the system frequency rating.
In this embodiment, the adjusting the converter load device based on the type of the converter load device, the frequency variation and the voltage variation of the power grid includes:
when the type of the converter load equipment is a power control type energy storage unit, the reactive power reference value of a single energy storage unit connected to a power grid is adjusted according to the following formula:
Q ref+ = Q ref ±aΔV
in the above, Q ref+ For the reactive power reference value of the energy storage unit after adjustment, a is a reactive power given adjustment coefficient, deltaV is voltage variation, Q ref The initial value of the reactive power reference value of the energy storage unit;
wherein the reactive power reference value of the energy storage unit after adjustment meets Q ref+ -Q ref ≤Q ad ，Q ad The capacity is adjustable for reactive power.
In one embodiment, the reactive power adjustable capacity is calculated as follows:
Q ad =(SOC max -SOC 0 )Q N /ηT
in the above, SOC max For maximum charge rate of energy storage unit, SOC 0 For the initial charge rate of the energy-storage unit, Q N The capacity rating value can be adjusted for the reactive power of the energy storage unit, eta is the energy storage efficiency of the energy storage unit, and T is the adjustment time.
In this embodiment, the adjusting the converter load device based on the type of the converter load device, the frequency variation and the voltage variation of the power grid includes:
when the type of the converter load equipment is a power control type energy storage unit, the active power reference value of an energy storage unit cluster connected to a power grid is adjusted according to the following formula:
P ref+ = P ref ±bΔf
when the type of the converter load equipment is a current control type electric vehicle charging device, the output current reference value of the electric vehicle charging device cluster is adjusted according to the following formula:
I ref+ =I ref ±cΔf
in the above, P ref+ For adjusting the active power reference value of the rear energy storage unit cluster, b is the active power given adjusting coefficient, Δf is the frequency variation, and P ref For the initial value of the active power reference value of the energy storage unit cluster, I ref+ I is used for adjusting the output current reference value of the rear electric automobile charging device cluster ref An initial value of an output current reference value of the electric vehicle charging device cluster, wherein c is a proportionality coefficient;
The active power reference value of the energy storage unit cluster after adjustment meets the following conditions: p (P) ref+ -P ref ≤P ad ，P ad The capacity is adjustable for the active power of the energy storage unit cluster.
In one embodiment, the active power adjustable capacity of the energy storage unit cluster is calculated as follows:
P ad =∑ i (SOC maxi -SOC 0i )P Ni /η i T
in the above, SOC maxi Maximum charge rate of the ith energy storage unit, SOC 0i For the initial charge rate, P, of the ith energy storage cell Ni Adjustable capacity setpoint, η, for the active power of the ith energy storage unit i For the energy storage efficiency of the ith energy storage unit, T is the regulating time, i is E [1, n]N is the total number of devices in the energy storage unit cluster.
In one embodiment, the adjusting the converter load device based on the type of the converter load device, the frequency variation and the voltage variation of the power grid includes:
substituting the active power reference value of the energy storage unit cluster after adjustment and the output current reference value of the electric vehicle charging device cluster after adjustment into a pre-built optimal control model and solving to obtain the active power reference value of the single energy storage unit in the energy storage unit cluster and the output current reference value of the single electric vehicle charging device in the electric vehicle charging device cluster;
and obtaining a current transformer load equipment adjusting scheme based on the active power reference value of the single energy storage unit in the energy storage unit cluster and the output current reference value of the single electric vehicle charging device in the electric vehicle charging device cluster, and adjusting the current transformer load equipment based on the current transformer load equipment adjusting scheme.
In one embodiment, the pre-built optimal control model includes: objective functions and constraints for the converter load devices to participate in the grid balance adjustment configuration.
In one embodiment, the mathematical model of the objective function is as follows:
minF=∑ n C i T i P ref+i +∑ m C j T j I ref+j U j
in the above, n is the total number of devices in the energy storage unit cluster, F is the target value, and C i For the running cost of the ith energy storage unit, T i For the operation time of the ith energy storage unit, P ref+i For the i-th energy storage unit active power reference value, C j For the operation cost of the j-th electric automobile charging device, T j For the running time of the j-th electric automobile charging device, I ref+j U is the output current reference value of the jth electric automobile charging device j And accessing the voltage of the power grid node for the jth electric vehicle charging device, wherein m is the total number of devices in the electric vehicle charging device cluster.
In one embodiment, the constraint includes: the energy storage cluster adjusts the power constraint, the charging pile cluster adjusts the current constraint, the system power flow balance constraint and the inequality constraint.
In one embodiment, the mathematical model of the energy storage cluster adjustment power constraint is as follows:
P ref+ =∑ n P ref+i
the mathematical model of the charging pile cluster regulating current constraint is as follows:
I ref+ =∑ m I ref+j 。
In one embodiment, the mathematical model of the inequality constraint is as follows:
U jmin ≤U j ≤U jmax
L jmin ≤L j ≤L jmax
P ref+imin ≤P ref+i ≤P ref+imax
I ref+jmin ≤I ref+j ≤I ref+jmax
in the above, U jmin Connecting a j-th electric vehicle charging device to a voltage minimum value of a power grid node, U jmax Connecting a voltage maximum value L of a power grid node to a jth electric vehicle charging device jmin The capacity of the circuit where the j-th electric automobile charging device is connected to the power grid node is limited by the lower limit, L j The capacity L of the line where the j-th electric automobile charging device is connected to the power grid node is jmax The upper limit of capacity allowance of a line where the j-th electric automobile charging device is connected with a power grid node is, P ref+imin The lower limit value of the active power reference value of the ith energy storage unit, P ref+imax An upper limit value of an active power reference value of the ith energy storage unit, I ref+jmin The lower limit value of the output current reference value of the j-th electric automobile charging device is I ref+jmax And the upper limit value of the output current reference value of the jth electric vehicle charging device.
The mathematical model of the system load flow balance constraint is as follows:
P m =U m ∑ M U x (G mx cosδ mx +B mx sinδ mx )
Q m =U m ∑ M U x (G mx cosδ mx -B mx sinδ mx )
in the above, P m Is the active power of node m in the power grid, U m For the voltage at node m in the network, U x For the voltage of node x in the network, G mx Is the real part delta of admittance matrix between node m and node x in the power grid mx B is the phase angle difference between node m and node x in the power grid mx For the imaginary part, Q, of the admittance matrix between node m and node x in the network m Is the reactive power of node m in the grid.
Example 2
Based on the same inventive concept, the invention also provides a response device of the converter load equipment participating in the power grid balance adjustment, as shown in fig. 2, the response device of the converter load equipment participating in the power grid balance adjustment comprises:
the acquisition module is used for identifying the type of the converter load equipment connected to the power grid and acquiring the frequency variation and the voltage variation of the power grid;
the adjusting module is used for adjusting the converter load equipment based on the type of the converter load equipment, the frequency variation and the voltage variation of the power grid.
Preferably, the identifying the type of the converter load device connected to the power grid includes:
when the direction of the phase angle difference between the voltage and the current at the node of the power grid accessed by the converter load equipment is changed, the type of the converter load equipment is a power control type energy storage unit;
when the effective value of the input current of the converter load equipment is kept unchanged in a preset time period and the waveform of the input current of the converter load equipment is sine wave, the type of the converter load equipment is a current control type electric automobile charging device.
Preferably, the process for obtaining the voltage variation includes:
performing dq conversion on the three-phase voltage of the power grid to obtain a d-axis voltage component;
and taking the difference between the d-axis voltage component and the rated value of the power grid voltage as the voltage variation.
Preferably, the process of obtaining the frequency variation includes:
performing dq conversion on the three-phase voltage of the power grid to obtain a q-axis voltage component;
filtering the q-axis voltage component through a secondary wave trap to obtain an intermediate frequency;
the frequency variation is determined based on the intermediate frequency.
Further, the q-axis voltage component is calculated as follows:
V q =V + +V - cos(2ωt+ψ - )
on the upper partIn V q For the q-axis voltage component, V + Is the positive sequence voltage of the power grid, V - Is the negative sequence voltage of the power grid, omega is the three-phase voltage frequency of the power grid, t is the current moment, and psi - Is the negative sequence voltage phase angle of the power grid.
Further, the frequency variation is calculated as follows:
Δf=(ω 1 /s)-f rate
in the above formula, Δf is the frequency variation, s is the integral operator, ω 1 For intermediate frequency, f rate Is the system frequency rating.
Preferably, the adjusting the converter load device based on the type of the converter load device, the frequency variation and the voltage variation of the power grid includes:
when the type of the converter load equipment is a power control type energy storage unit, the reactive power reference value of a single energy storage unit connected to a power grid is adjusted according to the following formula:
Q ref+ = Q ref ±aΔV
In the above, Q ref+ For the reactive power reference value of the energy storage unit after adjustment, a is a reactive power given adjustment coefficient, deltaV is voltage variation, Q ref The initial value of the reactive power reference value of the energy storage unit;
wherein the reactive power reference value of the energy storage unit after adjustment meets Q ref+ -Q ref ≤Q ad ，Q ad The capacity is adjustable for reactive power.
Further, the calculation formula of the reactive power adjustable capacity is as follows:
Q ad =(SOC max -SOC 0 )Q N /ηT
in the above, SOC max For maximum charge rate of energy storage unit, SOC 0 For the initial charge rate of the energy-storage unit, Q N The capacity rating value can be adjusted for the reactive power of the energy storage unit, eta is the energy storage efficiency of the energy storage unit, and T is the adjustment time.
Preferably, the adjusting the converter load device based on the type of the converter load device, the frequency variation and the voltage variation of the power grid includes:
when the type of the converter load equipment is a power control type energy storage unit, the active power reference value of an energy storage unit cluster connected to a power grid is adjusted according to the following formula:
P ref+ = P ref ±bΔf
when the type of the converter load equipment is a current control type electric vehicle charging device, the output current reference value of the electric vehicle charging device cluster is adjusted according to the following formula:
I ref+ =I ref ±cΔf
in the above, P ref+ For adjusting the active power reference value of the rear energy storage unit cluster, b is the active power given adjusting coefficient, Δf is the frequency variation, and P ref For the initial value of the active power reference value of the energy storage unit cluster, I ref+ I is used for adjusting the output current reference value of the rear electric automobile charging device cluster ref An initial value of an output current reference value of the electric vehicle charging device cluster, wherein c is a proportionality coefficient;
the active power reference value of the energy storage unit cluster after adjustment meets the following conditions: p (P) ref+ -P ref ≤P ad ，P ad The capacity is adjustable for the active power of the energy storage unit cluster.
Further, the calculation formula of the active power adjustable capacity of the energy storage unit cluster is as follows:
P ad =∑ i (SOC maxi -SOC 0i )P Ni /η i T
in the above, SOC maxi Maximum charge rate of the ith energy storage unit, SOC 0i For the initial charge rate, P, of the ith energy storage cell Ni Adjustable capacity setpoint, η, for the active power of the ith energy storage unit i For the energy storage efficiency of the ith energy storage unit, T is the regulating time, i is E [1, n]N is the total number of devices in the energy storage unit cluster.
Further, the adjusting the converter load device based on the type of the converter load device, the frequency variation and the voltage variation of the power grid includes:
substituting the active power reference value of the energy storage unit cluster after adjustment and the output current reference value of the electric vehicle charging device cluster after adjustment into a pre-built optimal control model and solving to obtain the active power reference value of the single energy storage unit in the energy storage unit cluster and the output current reference value of the single electric vehicle charging device in the electric vehicle charging device cluster;
And obtaining a current transformer load equipment adjusting scheme based on the active power reference value of the single energy storage unit in the energy storage unit cluster and the output current reference value of the single electric vehicle charging device in the electric vehicle charging device cluster, and adjusting the current transformer load equipment based on the current transformer load equipment adjusting scheme.
Further, the pre-constructed optimization control model includes: objective functions and constraints for the converter load devices to participate in the grid balance adjustment configuration.
Further, the mathematical model of the objective function is as follows:
minF=∑ n C i T i P ref+i +∑ m C j T j I ref+j U j
in the above, n is the total number of devices in the energy storage unit cluster, F is the target value, and C i For the running cost of the ith energy storage unit, T i For the operation time of the ith energy storage unit, P ref+i For the i-th energy storage unit active power reference value, C j For the operation cost of the j-th electric automobile charging device, T j For the running time of the j-th electric automobile charging device, I ref+j U is the output current reference value of the jth electric automobile charging device j And accessing the voltage of the power grid node for the jth electric vehicle charging device, wherein m is the total number of devices in the electric vehicle charging device cluster.
Further, the constraint condition includes: the energy storage cluster adjusts the power constraint, the charging pile cluster adjusts the current constraint, the system power flow balance constraint and the inequality constraint.
Further, the mathematical model of the energy storage cluster adjustment power constraint is as follows:
P ref+ =∑ n P ref+i
the mathematical model of the charging pile cluster regulating current constraint is as follows:
I ref+ =∑ m I ref+j 。
further, the mathematical model of the inequality constraint is as follows:
U jmin ≤U j ≤U jmax
L jmin ≤L j ≤L jmax
P ref+imin ≤P ref+i ≤P ref+imax
I ref+jmin ≤I ref+j ≤I ref+jmax
in the above, U jmin Connecting a j-th electric vehicle charging device to a voltage minimum value of a power grid node, U jmax Connecting a voltage maximum value L of a power grid node to a jth electric vehicle charging device jmin The capacity of the circuit where the j-th electric automobile charging device is connected to the power grid node is limited by the lower limit, L j The capacity L of the line where the j-th electric automobile charging device is connected to the power grid node is jmax The upper limit of capacity allowance of a line where the j-th electric automobile charging device is connected with a power grid node is, P ref+imin The lower limit value of the active power reference value of the ith energy storage unit, P ref+imax An upper limit value of an active power reference value of the ith energy storage unit, I ref+jmin The lower limit value of the output current reference value of the j-th electric automobile charging device is I ref+jmax And the upper limit value of the output current reference value of the jth electric vehicle charging device.
Example 3
Based on the same inventive concept, the invention also provides a computer device comprising a processor and a memory for storing a computer program comprising program instructions, the processor for executing the program instructions stored by the computer storage medium. The processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processor, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application SpecificIntegrated Circuit, ASIC), off-the-shelf Programmable gate array (FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc., which are the computational core and control core of the terminal adapted to implement one or more instructions, in particular to load and execute one or more instructions in a computer storage medium to implement the corresponding method flow or corresponding functions, to implement the steps of a response method for a converter load device to participate in grid balance adjustment in the above embodiments.
Example 4
Based on the same inventive concept, the present invention also provides a storage medium, in particular, a computer readable storage medium (Memory), which is a Memory device in a computer device, for storing programs and data. It is understood that the computer readable storage medium herein may include both built-in storage media in a computer device and extended storage media supported by the computer device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also stored in the memory space are one or more instructions, which may be one or more computer programs (including program code), adapted to be loaded and executed by the processor. The computer readable storage medium herein may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory. One or more instructions stored in a computer-readable storage medium may be loaded and executed by a processor to implement the steps of a method of responding to a converter load device participating in grid balance regulation in the above embodiments.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (26)
1. A method of responding to a converter load device participating in grid balance adjustment, the method comprising:
identifying the type of converter load equipment connected to a power grid, and acquiring the frequency variation and the voltage variation of the power grid;
the converter load device is regulated based on the type of the converter load device, the frequency variation and the voltage variation of the power grid.
2. The method of claim 1, wherein identifying the type of converter load device that is connected to the power grid comprises:
when the direction of the phase angle difference between the voltage and the current at the node of the power grid accessed by the converter load equipment is changed, the type of the converter load equipment is a power control type energy storage unit;
when the effective value of the input current of the converter load equipment is kept unchanged in a preset time period and the waveform of the input current of the converter load equipment is sine wave, the type of the converter load equipment is a current control type electric automobile charging device.
3. The method of claim 1, wherein the step of obtaining the voltage variation comprises:
performing dq conversion on the three-phase voltage of the power grid to obtain a d-axis voltage component;
and taking the difference between the d-axis voltage component and the rated value of the power grid voltage as the voltage variation.
4. The method of claim 1, wherein the process of obtaining the frequency variation comprises:
performing dq conversion on the three-phase voltage of the power grid to obtain a q-axis voltage component;
filtering the q-axis voltage component through a secondary wave trap to obtain an intermediate frequency;
the frequency variation is determined based on the intermediate frequency.
5. The method of claim 4 wherein the q-axis voltage component is calculated as:
V q =V + +V - cos(2ωt+ψ - )
in the above, V q For the q-axis voltage component, V + Is the positive sequence voltage of the power grid, V - Is the negative sequence voltage of the power grid, omega is the three-phase voltage frequency of the power grid, t is the current moment, and psi - Is the negative sequence voltage phase angle of the power grid.
6. The method of claim 4, wherein the frequency variation is calculated as:
Δf=(ω 1 /s)-f rate
in the above formula, Δf is the frequency variation, s is the integral operator, ω 1 For intermediate frequency, f rate Is the system frequency rating.
7. The method of claim 1, wherein adjusting the converter load device based on the type of converter load device, the frequency variance and the voltage variance of the power grid comprises:
when the type of the converter load equipment is a power control type energy storage unit, the reactive power reference value of a single energy storage unit connected to a power grid is adjusted according to the following formula:
Q ref+ = Q ref ±aΔV
In the above, Q ref+ For the reactive power reference value of the energy storage unit after adjustment, a is a reactive power given adjustment coefficient, deltaV is voltage variation, Q ref The initial value of the reactive power reference value of the energy storage unit;
wherein the reactive power reference value of the energy storage unit after adjustment meets Q ref+ -Q ref ≤Q ad ，Q ad The capacity is adjustable for reactive power.
8. The method of claim 7, wherein the reactive power adjustable capacity is calculated as:
Q ad =(SOC max -SOC 0 )Q N /ηT
in the above, SOC max For maximum charge rate of energy storage unit, SOC 0 For the initial charge rate of the energy-storage unit, Q N The capacity rating value can be adjusted for the reactive power of the energy storage unit, eta is the energy storage efficiency of the energy storage unit, and T is the adjustment time.
9. The method of claim 1, wherein adjusting the converter load device based on the type of converter load device, the frequency variance and the voltage variance of the power grid comprises:
when the type of the converter load equipment is a power control type energy storage unit, the active power reference value of an energy storage unit cluster connected to a power grid is adjusted according to the following formula:
P ref+ = P ref ±bΔf
when the type of the converter load equipment is a current control type electric vehicle charging device, the output current reference value of the electric vehicle charging device cluster is adjusted according to the following formula:
I ref+ =I ref ±cΔf
In the above, P ref+ For adjusting the active power reference value of the rear energy storage unit cluster, b is the active power given adjusting coefficient, Δf is the frequency variation, and P ref For the initial value of the active power reference value of the energy storage unit cluster, I ref+ I is used for adjusting the output current reference value of the rear electric automobile charging device cluster ref An initial value of an output current reference value of the electric vehicle charging device cluster, wherein c is a proportionality coefficient;
the active power reference value of the energy storage unit cluster after adjustment meets the following conditions: p (P) ref+ -P ref ≤P ad ，P ad To store energyActive power of the cell clusters can adjust capacity.
10. The method of claim 9, wherein the active power adjustable capacity of the cluster of energy storage units is calculated as follows:
P ad =∑ i (SOC maxi -SOC 0i )P Ni /η i T
in the above, SOC maxi Maximum charge rate of the ith energy storage unit, SOC 0i For the initial charge rate, P, of the ith energy storage cell Ni Adjustable capacity setpoint, η, for the active power of the ith energy storage unit i For the energy storage efficiency of the ith energy storage unit, T is the regulating time, i is E [1, n]N is the total number of devices in the energy storage unit cluster.
11. The method of claim 10, wherein adjusting the converter load device based on the type of converter load device, the frequency variance and the voltage variance of the power grid comprises:
Substituting the active power reference value of the energy storage unit cluster after adjustment and the output current reference value of the electric vehicle charging device cluster after adjustment into a pre-built optimal control model and solving to obtain the active power reference value of the single energy storage unit in the energy storage unit cluster and the output current reference value of the single electric vehicle charging device in the electric vehicle charging device cluster;
and obtaining a current transformer load equipment adjusting scheme based on the active power reference value of the single energy storage unit in the energy storage unit cluster and the output current reference value of the single electric vehicle charging device in the electric vehicle charging device cluster, and adjusting the current transformer load equipment based on the current transformer load equipment adjusting scheme.
12. The method of claim 11, wherein the pre-built optimal control model comprises: objective functions and constraints for the converter load devices to participate in the grid balance adjustment configuration.
13. The method of claim 12, wherein the mathematical model of the objective function is as follows:
minF=∑ n C i T i P ref+i +∑ m C j T j I ref+j U j
in the above, n is the total number of devices in the energy storage unit cluster, F is the target value, and C i For the running cost of the ith energy storage unit, T i For the operation time of the ith energy storage unit, P ref+i For the i-th energy storage unit active power reference value, C j For the operation cost of the j-th electric automobile charging device, T j For the running time of the j-th electric automobile charging device, I ref+j U is the output current reference value of the jth electric automobile charging device j And accessing the voltage of the power grid node for the jth electric vehicle charging device, wherein m is the total number of devices in the electric vehicle charging device cluster.
14. The method of claim 13, wherein the constraint comprises: the energy storage cluster adjusts the power constraint, the charging pile cluster adjusts the current constraint, the system power flow balance constraint and the inequality constraint.
15. The method of claim 14, wherein the mathematical model of the energy storage cluster adjustment power constraint is as follows:
P ref+ =∑ n P ref+i
the mathematical model of the charging pile cluster regulating current constraint is as follows:
I ref+ =∑ m I ref+j 。
16. the method of claim 15, wherein the mathematical model of the inequality constraint is as follows:
U jmin ≤U j ≤U jmax
L jmin ≤L j ≤L jmax
P ref+imin ≤P ref+i ≤P ref+imax
I ref+jmin ≤I ref+j ≤I ref+jmax
in the above, U jmin Connecting a j-th electric vehicle charging device to a voltage minimum value of a power grid node, U jmax Connecting a voltage maximum value L of a power grid node to a jth electric vehicle charging device jmin The capacity of the circuit where the j-th electric automobile charging device is connected to the power grid node is limited by the lower limit, L j The capacity L of the line where the j-th electric automobile charging device is connected to the power grid node is jmax The upper limit of capacity allowance of a line where the j-th electric automobile charging device is connected with a power grid node is, P ref+imin The lower limit value of the active power reference value of the ith energy storage unit, P ref+imax An upper limit value of an active power reference value of the ith energy storage unit, I ref+jmin The lower limit value of the output current reference value of the j-th electric automobile charging device is I ref+jmax And the upper limit value of the output current reference value of the jth electric vehicle charging device.
17. A response device for a converter load device to participate in grid balance adjustment, the device comprising:
the acquisition module is used for identifying the type of the converter load equipment connected to the power grid and acquiring the frequency variation and the voltage variation of the power grid;
the adjusting module is used for adjusting the converter load equipment based on the type of the converter load equipment, the frequency variation and the voltage variation of the power grid.
18. The apparatus of claim 17, wherein the acquisition module is specifically configured to:
when the direction of the phase angle difference between the voltage and the current at the node of the power grid accessed by the converter load equipment is changed, the type of the converter load equipment is a power control type energy storage unit;
When the effective value of the input current of the converter load equipment is kept unchanged in a preset time period and the waveform of the input current of the converter load equipment is sine wave, the type of the converter load equipment is a current control type electric automobile charging device.
19. The apparatus of claim 17, wherein the adjustment module is specifically configured to:
when the type of the converter load equipment is a power control type energy storage unit, the reactive power reference value of a single energy storage unit connected to a power grid is adjusted according to the following formula:
Q ref+ = Q ref ±aΔV
in the above, Q ref+ For the reactive power reference value of the energy storage unit after adjustment, a is a reactive power given adjustment coefficient, deltaV is voltage variation, Q ref The initial value of the reactive power reference value of the energy storage unit;
wherein the reactive power reference value of the energy storage unit after adjustment meets Q ref+ -Q ref ≤Q ad ，Q ad The capacity is adjustable for reactive power.
20. The apparatus of claim 19, wherein the reactive power adjustable capacity is calculated as:
Q ad =(SOC max -SOC 0 )Q N /ηT
in the above, SOC max For maximum charge rate of energy storage unit, SOC 0 For the initial charge rate of the energy-storage unit, Q N The capacity rating value can be adjusted for the reactive power of the energy storage unit, eta is the energy storage efficiency of the energy storage unit, and T is the adjustment time.
21. The apparatus of claim 17, wherein the adjustment module is specifically configured to:
when the type of the converter load equipment is a power control type energy storage unit, the active power reference value of an energy storage unit cluster connected to a power grid is adjusted according to the following formula:
P ref+ = P ref ±bΔf
when the type of the converter load equipment is a current control type electric vehicle charging device, the output current reference value of the electric vehicle charging device cluster is adjusted according to the following formula:
I ref+ =I ref ±cΔf
in the above, P ref+ For adjusting the active power reference value of the rear energy storage unit cluster, b is the active power given adjusting coefficient, Δf is the frequency variation, and P ref For the initial value of the active power reference value of the energy storage unit cluster, I ref+ I is used for adjusting the output current reference value of the rear electric automobile charging device cluster ref An initial value of an output current reference value of the electric vehicle charging device cluster, wherein c is a proportionality coefficient;
the active power reference value of the energy storage unit cluster after adjustment meets the following conditions: p (P) ref+ -P ref ≤P ad ，P ad The capacity is adjustable for the active power of the energy storage unit cluster.
22. The apparatus of claim 21, wherein the active power adjustable capacity of the cluster of energy storage units is calculated as:
P ad =∑ i (SOC maxi -SOC 0i )P Ni /η i T
in the above, SOC maxi Maximum charge rate of the ith energy storage unit, SOC 0i For the initial charge rate, P, of the ith energy storage cell Ni Adjustable capacity setpoint, η, for the active power of the ith energy storage unit i For the energy storage efficiency of the ith energy storage unit, T is the regulating time, i is E [1, n]N is the total number of devices in the energy storage unit cluster.
23. The apparatus of claim 22, wherein the adjustment module is specifically configured to:
substituting the active power reference value of the energy storage unit cluster after adjustment and the output current reference value of the electric vehicle charging device cluster after adjustment into a pre-built optimal control model and solving to obtain the active power reference value of the single energy storage unit in the energy storage unit cluster and the output current reference value of the single electric vehicle charging device in the electric vehicle charging device cluster;
and obtaining a current transformer load equipment adjusting scheme based on the active power reference value of the single energy storage unit in the energy storage unit cluster and the output current reference value of the single electric vehicle charging device in the electric vehicle charging device cluster, and adjusting the current transformer load equipment based on the current transformer load equipment adjusting scheme.
24. The apparatus of claim 23, wherein the pre-constructed optimal control model comprises: objective functions and constraints for the converter load devices to participate in the grid balance adjustment configuration.
25. A computer device, comprising: one or more processors;
the processor is used for storing one or more programs;
a response method of a converter load device according to any one of claims 1 to 16 to participate in grid balance regulation when the one or more programs are executed by the one or more processors.
26. A computer readable storage medium, having stored thereon a computer program which, when executed, implements a method of responding to a converter load device according to any one of claims 1 to 16 participating in grid balance regulation.
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