CN110676862B - Energy storage control method and system for improving power grid inertia level - Google Patents
Energy storage control method and system for improving power grid inertia level Download PDFInfo
- Publication number
- CN110676862B CN110676862B CN201911001457.3A CN201911001457A CN110676862B CN 110676862 B CN110676862 B CN 110676862B CN 201911001457 A CN201911001457 A CN 201911001457A CN 110676862 B CN110676862 B CN 110676862B
- Authority
- CN
- China
- Prior art keywords
- energy storage
- coefficient
- inertia coefficient
- storage unit
- determining
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 305
- 238000000034 method Methods 0.000 title claims abstract description 53
- 230000008859 change Effects 0.000 claims abstract description 41
- 238000004590 computer program Methods 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 8
- 238000013016 damping Methods 0.000 claims description 5
- 239000000126 substance Substances 0.000 claims description 4
- 230000010355 oscillation Effects 0.000 abstract description 12
- 238000004891 communication Methods 0.000 description 9
- 238000005516 engineering process Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 4
- 238000004422 calculation algorithm Methods 0.000 description 3
- 230000006866 deterioration Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Images
Classifications
-
- 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
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention provides an energy storage control method and system for improving the inertia level of a power grid, wherein the energy storage control method comprises the following steps: determining a virtual total inertia coefficient of the energy storage system based on the active power change rate of the energy storage system; and determining the virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and the given active power coefficient of the energy storage unit. According to the energy storage control method, the active power and the virtual rotational inertia of the energy storage system are coordinately distributed, so that the inertia level of a power grid can be improved, the violent oscillation that the energy storage output active power is recovered to a stable value is effectively improved, the frequency change is inhibited from being too fast, and the stable operation of the system is realized.
Description
Technical Field
The invention relates to the field of energy storage control, in particular to an energy storage control method and system for improving the inertia level of a power grid.
Background
With the popularization of smart power grids and the rapid development of distributed energy, the energy storage system has a prominent effect, and the applicable field of the energy storage system comprises each link of generation, transmission, transformation, distribution and use in a power system. At present, the application of the energy storage system in the power grid is still in the process of exploration and test, the comprehensive research and measurement of the energy storage technology and cost are tried in the related fields at home and abroad, and the social requirements and the nature of the power grid are considered, so that the effective way of the energy storage system in the power grid is actively explored and tested. The energy storage system has effective effects in the fields of improving the grid-connected capacity of a power system to new energy, frequency modulation and peak regulation, peak clipping and valley filling, improving the electric energy quality of users, improving the power utilization stability and the like.
The energy storage inverter is used as a power electronic interface for distributed power generation, can quickly respond to the influence of renewable energy with randomness and volatility on a power grid, but lacks inertial support, and brings new challenges to safe and stable operation of a power grid system. A virtual synchronous generator control technology is introduced into an energy storage control algorithm, so that the power electronic power supply inherits the inertia and damping characteristics of a synchronous generator, the inertia level of a power grid is effectively improved, and the stability problem of a power system brought by high-permeability renewable energy source grid connection is solved. However, in the related art, only the constant virtual inertia control technology is proposed, it is difficult to simultaneously suppress power oscillation and slow down the frequency change rate when the load is disturbed, and after the load disturbance is finished, the frequency recovery speed is slow, which has considerable limitations.
Disclosure of Invention
Embodiments of the present invention provide an energy storage control method for increasing an inertia level of a power grid, which overcomes or at least partially solves the above problems.
In a first aspect, the present invention provides an energy storage control method for improving an inertia level of a power grid, where an energy storage system includes n energy storage units, n > 1, and the energy storage control method includes: determining a virtual total inertia coefficient of the energy storage system based on the active power change rate of the energy storage system; and determining the virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and the given active power coefficient of the energy storage unit.
In some embodiments, the determining a virtual total inertia coefficient of the energy storage system based on the active power change rate of the energy storage system includes: determining that the active power change rate dP/dt of the energy storage system is larger than 0, and determining the virtual total inertia coefficient of the energy storage system based on the initial virtual total inertia coefficient of the energy storage system, the current actual power of the energy storage unit and the current actual frequency.
In some embodiments, the determining a virtual total inertia coefficient of the energy storage system based on the initial virtual total inertia coefficient of the energy storage system, the current actual power of the energy storage unit, and the current actual frequency includes: using formulas
Determining the virtual total inertia coefficient CEWherein
Is the initial virtual total inertia coefficient, kfFor frequency tracking coefficients of energy storage systems, PiIs the current actual power, P, of the ith energy storage unitrefiAnd for the given active power of the ith energy storage unit, i is more than or equal to 1 and less than or equal to n, f is the current actual frequency, and M is a frequency variation limiting threshold.
In some embodiments, the determining a virtual total inertia coefficient of the energy storage system based on the active power change rate of the energy storage system includes:
determining that the active power change rate dP/dt of the energy storage system is less than or equal to 0, and applying a formula
Determining the virtual total inertia coefficient, wherein CEFor the virtual total coefficient of inertia to be described,
and the initial virtual total inertia coefficient is obtained.
In some embodiments, the determining a virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and a given active power coefficient of the energy storage unit includes: using formulas
Determining a virtual inertia coefficient of the energy storage unit, wherein Δ CEiIs a virtual inertia coefficient, P, of the ith energy storage unitrefiI is more than or equal to 1 and less than or equal to n and C is given active power of the ith energy storage unitEAnd the virtual total inertia coefficient is obtained.
In some embodiments, the virtual total inertia coefficient is determined based on an initial virtual total inertia coefficient, which is defined by applying the following formula:
wherein the content of the first and second substances,
is an initial virtual total inertia coefficient, PmFor mechanical input of mechanical power, PeRespectively, to output electromagnetic active power, omega0The rotor electrical angular velocity is a rated value, omega is an actual value of the rotor electrical angular velocity, and delta is a power angle; d is a damping coefficient.
In a second aspect, the invention provides an energy storage control method for improving the inertia level of a power grid, wherein an energy storage system comprises n energy storage units, n is greater than 1, and the energy storage control method comprises the following steps: determining an initial virtual total inertia coefficient; if the active power change rate dP/dt of the energy storage system is less than or equal to 0, determining a virtual inertia coefficient of the energy storage unit based on the initial virtual total inertia coefficient and a given active power coefficient of the energy storage unit; if the active power change rate dP/dt of the energy storage system is larger than 0, determining a virtual total inertia coefficient of the energy storage system based on the initial virtual total inertia coefficient, the current actual power of the energy storage unit and the current actual frequency, and determining the virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and the given active power coefficient of the energy storage unit.
In a third aspect, the present invention provides an energy storage control system for improving an inertia level of a power grid, where the energy storage system includes n energy storage units, n is greater than 1, and the energy storage control system includes: the first processing unit is used for determining a virtual total inertia coefficient of the energy storage system based on the active power change rate of the energy storage system; and the second processing unit is used for determining the virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and the given active power coefficient of the energy storage unit.
In a fourth aspect, the present invention provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of the energy storage control method for increasing the inertia level of the power grid as described in any one of the above.
In a fifth aspect, the present invention provides a non-transitory computer readable storage medium having stored thereon a computer program which, when being executed by a processor, carries out the steps of the energy storage control method for increasing a level of inertia of a power grid as set forth in any of the above.
According to the energy storage control method, the control system, the electronic device and the storage medium, the active power and the virtual rotational inertia of the energy storage system are coordinated, so that the inertia level of a power grid can be improved, the violent oscillation that the active power of energy storage output is recovered to a stable value is effectively improved, the frequency change is inhibited from being too fast, and the stable operation of the system is realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
FIG. 1 is a flow chart of an energy storage control method to increase the inertia level of a power grid according to an embodiment of the present invention;
FIG. 2 is a flow chart of an energy storage control method for increasing the inertia level of a power grid according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of an energy storage control system for increasing the inertia level of a power grid according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an application environment of an energy storage control system for increasing the inertia level of a power grid according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The energy storage control method for improving the inertia level of the power grid according to the embodiment of the present application is described below with reference to fig. 1.
The energy storage system comprises n energy storage units, wherein n is greater than 1, namely the energy storage system comprises n energy storage units, the n energy storage units can be connected in parallel, in the energy storage stage and the energy release stage, a part or all of the n energy storage units can be selected to work in sequence according to requirements, for example, in the energy release stage, after the energy release of the 1 st energy storage unit is completed, the 2 nd energy storage unit is started, and the 2 nd energy storage unit starts to release energy.
As shown in fig. 1, the energy storage control method according to the embodiment of the present invention includes:
and S100, determining a virtual total inertia coefficient of the energy storage system based on the active power change rate of the energy storage system.
In other words, the virtual total inertia coefficient of the energy storage system of the embodiment of the present application is not a constant value, and the virtual total inertia coefficient needs to be determined according to the active power change rate of the energy storage system, so that the power oscillation factor of the energy storage system can be incorporated into the virtual total inertia coefficient,
and S200, determining a virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and a given active power coefficient of the energy storage unit.
It is understood that after the determination of the virtual total inertia coefficient is obtained, the virtual total inertia coefficient may be assigned to the energy storage unit in combination with the given active power coefficient of the energy storage unit.
Therefore, the energy storage control method for improving the inertia level of the power grid can solve the problems that in the related technology, the distribution of the rotational inertia in an energy storage system is uneven, the dynamic regulation performance of the output power and the frequency cannot be considered, and the like.
According to the energy storage control method provided by the embodiment of the invention, the active power and the virtual rotational inertia of the energy storage system are coordinately distributed, so that the inertia level of a power grid can be improved, the violent oscillation that the active power output by the energy storage system is recovered to a stable value is effectively improved, the frequency change is inhibited from being too fast, and the stable operation of the system is realized.
In some embodiments, the determining the virtual total inertia coefficient of the energy storage system based on the active power change rate of the energy storage system in step S100 includes:
and S110, determining that the active power change rate dP/dt of the energy storage system is larger than 0, and determining the virtual total inertia coefficient of the energy storage system based on the initial virtual total inertia coefficient of the energy storage system, the current actual power of the energy storage unit and the current actual frequency.
It can be understood that when the system frequency variation of the energy storage system is greater than the set threshold, the virtual total inertia coefficient of the energy storage system is determined by adjusting the initial virtual total inertia coefficient of the energy storage system based on the current actual power and the current actual frequency of the energy storage unit.
When the active power change rate of the energy storage system meets the condition that dP/dt is larger than 0, the virtual total inertia coefficient of the energy storage system is adjusted, so that oscillation when the system frequency and power are restored to stable values can be avoided.
In an actual implementation, the step S110 of determining a virtual total inertia coefficient of the energy storage system based on the initial virtual total inertia coefficient of the energy storage system, the current actual power of the energy storage unit, and the current actual frequency includes: using formulas
Determining a virtual total inertia coefficient CEWherein
Is an initial virtual total inertia coefficient, kfFor frequency tracking coefficients of energy storage systems, PiIs the current actual power, P, of the ith energy storage unitrefiFor the given active power of the ith energy storage unit, i is more than or equal to 1 and less than or equal to n, f is the current actual frequency, M is the frequency variation limiting threshold, and M can be set according to the allowable frequency fluctuation range of the energy storage system.
It should be noted that, when the system frequency variation is greater than the set threshold, the energy storage system frequency variation is large, and the oscillation of the active power output by the energy storage unit is aggravated, which results in the deterioration of the system stability.
In some embodiments, the determining the virtual total inertia coefficient of the energy storage system based on the active power change rate of the energy storage system in step S100 includes:
step S120, determining that the active power change rate dP/dt of the energy storage system is less than or equal to 0, and applying a formula
Determining a virtual total inertia coefficient, wherein CEIn order to be the virtual total coefficient of inertia,
is the initial virtual total inertia coefficient.
In other words, when the system frequency variation is smaller than the set threshold value and the virtual inertia control technology is operated in the energy storage unit, the system sets a smaller initial total virtual inertia coefficient
And when the virtual inertia coefficient is distributed to the energy storage unit, power oscillation is not generated, and a preset initial virtual total inertia coefficient can be directly used as the virtual total inertia coefficient.
In some embodiments, the virtual total inertia coefficients in step S110 and step S120 are determined based on an initial virtual total inertia coefficient, and the initial virtual total inertia coefficient is defined by applying the following formula:
wherein the content of the first and second substances,
is an initial virtual total inertia coefficient, PmFor mechanical input of mechanical power, PeRespectively, to output electromagnetic active power, omega0The rotor electrical angular velocity is a rated value, omega is an actual value of the rotor electrical angular velocity, and delta is a power angle; d is a damping coefficient.
Therefore, the virtual inertia control technology is introduced into the control algorithm of the energy storage system, so that the inertia level of the power grid of the energy storage system can be improved, and the stability problem of the power system brought by the high-permeability renewable energy source grid connection can be improved.
In some embodiments, the determining the virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and the given active power coefficient of the energy storage unit in step S200 includes: using formulas
Determining a virtual inertia coefficient of the energy storage unit, wherein Δ CEiIs a virtual inertia coefficient, P, of the ith energy storage unitrefiI is more than or equal to 1 and less than or equal to n and C is given active power of the ith energy storage unitEIs the virtual total inertia coefficient.
The method is mainly used for distributing the virtual total inertia coefficient of the energy storage system to each energy storage unit.
In conclusion, the energy storage control method provided by the invention simultaneously considers the dynamic regulation performance of the energy storage active power and the system frequency, greatly improves the inertia level of the power grid, increases the stability of the system frequency, reflects the frequency modulation service value of the energy storage power station, and can effectively reduce the frequency modulation cost of the power grid, thereby improving the economy of the frequency modulation of the system.
The energy storage control system for improving the inertia level of the power grid provided by the embodiment of the invention is described below, and the energy storage control system for improving the inertia level of the power grid described below and the energy storage control method for improving the inertia level of the power grid described above can be referred to correspondingly.
The energy storage system comprises n energy storage units, wherein n is greater than 1, namely the energy storage system comprises n energy storage units, the n energy storage units can be connected in parallel, in the energy storage stage and the energy release stage, a part or all of the n energy storage units can be selected to work in sequence according to requirements, for example, in the energy release stage, after the energy release of the 1 st energy storage unit is completed, the 2 nd energy storage unit is started, and the 2 nd energy storage unit starts to release energy.
As shown in fig. 2, the energy storage system according to the embodiment of the present invention includes: a first processing unit 510 and a second processing unit 520.
The first processing unit is used for determining a virtual total inertia coefficient of the energy storage system based on the active power change rate of the energy storage system; and the second processing unit is used for determining the virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and the given active power coefficient of the energy storage unit.
According to the energy storage control system provided by the invention, the active power and the virtual rotational inertia of the energy storage system are coordinately distributed, so that the inertia level of a power grid can be improved, the violent oscillation that the energy storage output active power is recovered to a stable value is effectively improved, the frequency change is inhibited from being too fast, and the stable operation of the system is realized.
An energy storage control method for increasing the inertia level of the power grid according to another embodiment of the present invention is described below with reference to fig. 3.
As shown in fig. 3, the energy storage control method includes:
in an actual implementation, the initial virtual total inertia coefficient is defined using the following equation:
wherein the content of the first and second substances,
is an initial virtual total inertia coefficient, PmFor mechanical input of mechanical power, PeRespectively, to output electromagnetic active power, omega0The rotor electrical angular velocity is a rated value, omega is an actual value of the rotor electrical angular velocity, and delta is a power angle; d is a damping coefficient.
Therefore, the virtual inertia control technology is introduced into the control algorithm of the energy storage system, so that the inertia level of the power grid of the energy storage system can be improved, and the stability problem of the power system brought by the high-permeability renewable energy source grid connection can be improved.
Step 210, if the active power change rate dP/dt of the energy storage system is less than or equal to 0, determining a virtual inertia coefficient of the energy storage unit based on the initial virtual total inertia coefficient and a given active power coefficient of the energy storage unit.
In actual implementation, formulas may be applied
Determining a virtual inertia coefficient of the energy storage unit, wherein Δ CEiIs a virtual inertia coefficient, P, of the ith energy storage unitrefiI is more than or equal to 1 and less than or equal to n for the given active power of the ith energy storage unit,
is the initial total virtual inertia coefficient.
When the system frequency variation is smaller than the set thresholdWhen the virtual inertia control technology is operated in the energy storage unit, the system sets a smaller initial total virtual inertia coefficient
And when the virtual inertia coefficient is distributed to the energy storage units, power oscillation is not generated, and the initial total virtual inertia coefficient can be directly distributed to each energy storage unit.
In actual implementation, formulas are applied
Determining a virtual total inertia coefficient CEWherein
Is an initial virtual total inertia coefficient, kfFor frequency tracking coefficients of energy storage systems, PiIs the current actual power, P, of the ith energy storage unitrefiFor the given active power of the ith energy storage unit, i is more than or equal to 1 and less than or equal to n, f is the current actual frequency, M is the frequency variation limiting threshold, and M can be set according to the allowable frequency fluctuation range of the energy storage system.
It should be noted that, when the system frequency variation is greater than the set threshold, the energy storage system frequency variation is large, and the oscillation of the active power output by the energy storage unit is aggravated, which results in the deterioration of the system stability.
Using formulas
Determining a virtual inertia coefficient of the energy storage unit, wherein Δ CEiIs a virtual inertia coefficient, P, of the ith energy storage unitrefiI is more than or equal to 1 and less than or equal to n and C is given active power of the ith energy storage unitEIs the virtual total inertia coefficient.
Therefore, the energy storage control method for improving the inertia level of the power grid can solve the problems that in the related technology, the distribution of the rotational inertia in an energy storage system is uneven, the dynamic regulation performance of the output power and the frequency cannot be considered, and the like.
According to the energy storage control method provided by the embodiment of the invention, the active power and the virtual rotational inertia of the energy storage system are coordinately distributed, so that the inertia level of a power grid can be improved, the violent oscillation that the active power output by the energy storage system is recovered to a stable value is effectively improved, the frequency change is inhibited from being too fast, and the stable operation of the system is realized.
Fig. 4 shows an application environment of the energy storage control method according to the embodiment of the present invention, and the energy storage control methods shown in fig. 1 and fig. 3 can be applied to the environment shown in fig. 4.
Wherein, the energy storage virtual inertia control model can be set according to the method, thus the voltage Uabc and the current Iabc are output to the power calculation node, and the virtual speed regulator outputs the electromagnetic active power P according to the outputeAnd rotor electrical angular velocity rating ω0Determining active power P, the virtual excitation controller according to rated voltage E0And reactive power QeDetermining voltage E, and determining and outputting three-phase voltage E by the energy storage virtual inertia control model based on the active power and the voltage Eabc。
Fig. 5 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 5: a processor (processor)810, a communication Interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication Interface 820 and the memory 830 communicate with each other via the communication bus 840. The processor 810 may invoke logic instructions in the memory 830 to perform an energy storage control method that increases the level of grid inertia.
The method comprises the following steps: determining a virtual total inertia coefficient of the energy storage system based on the active power change rate of the energy storage system; and determining the virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and the given active power coefficient of the energy storage unit.
Alternatively, the method comprises: determining an initial virtual total inertia coefficient; if the active power change rate dP/dt of the energy storage system is less than or equal to 0, determining a virtual inertia coefficient of the energy storage unit based on the initial virtual total inertia coefficient and a given active power coefficient of the energy storage unit; if the active power change rate dP/dt of the energy storage system is larger than 0, determining a virtual total inertia coefficient of the energy storage system based on the initial virtual total inertia coefficient, the current actual power of the energy storage unit and the current actual frequency, and determining the virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and the given active power coefficient of the energy storage unit.
It should be noted that, when being implemented specifically, the electronic device in this embodiment may be a server, a PC, or other devices, as long as the structure includes the processor 810, the communication interface 820, the memory 830, and the communication bus 840 shown in fig. 5, where the processor 810, the communication interface 820, and the memory 830 complete mutual communication through the communication bus 840, and the processor 810 may call the logic instructions in the memory 830 to execute the above method. The embodiment does not limit the specific implementation form of the electronic device.
In addition, the logic instructions in the memory 830 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Further, the present invention discloses a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, the computer program includes program instructions, and when the program instructions are executed by a computer, the computer can execute the energy storage control method for increasing the inertia level of the power grid provided by the above method embodiments.
The method comprises the following steps: determining a virtual total inertia coefficient of the energy storage system based on the active power change rate of the energy storage system; and determining the virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and the given active power coefficient of the energy storage unit.
Alternatively, the method comprises: determining an initial virtual total inertia coefficient; if the active power change rate dP/dt of the energy storage system is less than or equal to 0, determining a virtual inertia coefficient of the energy storage unit based on the initial virtual total inertia coefficient and a given active power coefficient of the energy storage unit; if the active power change rate dP/dt of the energy storage system is larger than 0, determining a virtual total inertia coefficient of the energy storage system based on the initial virtual total inertia coefficient, the current actual power of the energy storage unit and the current actual frequency, and determining the virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and the given active power coefficient of the energy storage unit.
In another aspect, embodiments of the present invention further provide a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented by a processor to execute the energy storage control method for increasing the inertia level of a power grid provided in the foregoing embodiments.
The method comprises the following steps: determining a virtual total inertia coefficient of the energy storage system based on the active power change rate of the energy storage system; and determining the virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and the given active power coefficient of the energy storage unit.
Alternatively, the method comprises: determining an initial virtual total inertia coefficient; if the active power change rate dP/dt of the energy storage system is less than or equal to 0, determining a virtual inertia coefficient of the energy storage unit based on the initial virtual total inertia coefficient and a given active power coefficient of the energy storage unit; if the active power change rate dP/dt of the energy storage system is larger than 0, determining a virtual total inertia coefficient of the energy storage system based on the initial virtual total inertia coefficient, the current actual power of the energy storage unit and the current actual frequency, and determining the virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and the given active power coefficient of the energy storage unit.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. An energy storage control method for improving the inertia level of a power grid is characterized in that an energy storage system comprises n energy storage units, wherein n is greater than 1, and the energy storage control method comprises the following steps:
determining a virtual total inertia coefficient of the energy storage system based on the active power change rate of the energy storage system;
determining a virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and a given active power coefficient of the energy storage unit;
the determining the virtual total inertia coefficient of the energy storage system based on the active power change rate of the energy storage system comprises:
determining that the active power change rate dP/dt of the energy storage system is larger than 0, and determining a virtual total inertia coefficient of the energy storage system based on an initial virtual total inertia coefficient of the energy storage system, the current actual power of the energy storage unit and the current actual frequency;
the determining the virtual total inertia coefficient of the energy storage system based on the initial virtual total inertia coefficient of the energy storage system, the current actual power of the energy storage unit, and the current actual frequency includes: using formulas
Determining the virtual total inertia coefficient CEWherein
Is the initial virtual total inertia coefficient, kfFor frequency tracking coefficients of energy storage systems, PiIs the current actual power, P, of the ith energy storage unitrefiAnd for the given active power of the ith energy storage unit, i is more than or equal to 1 and less than or equal to n, f is the current actual frequency, and M is a frequency variation limiting threshold.
2. The energy storage control method for improving the inertia level of the power grid as claimed in claim 1, wherein the determining the virtual total inertia coefficient of the energy storage system based on the active power change rate of the energy storage system comprises:
determining that the active power change rate dP/dt of the energy storage system is less than or equal to 0, and applying a formula
Determining the virtual total inertia coefficient, wherein CEFor the virtual total coefficient of inertia to be described,
and the initial virtual total inertia coefficient is obtained.
3. The energy storage control method for improving the inertia level of a power grid according to claim 1, wherein the determining the virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and the given active power coefficient of the energy storage unit comprises: using formulas
Determining a virtual inertia coefficient of the energy storage unit, wherein Δ CEiIs a virtual inertia coefficient, P, of the ith energy storage unitrefiI is more than or equal to 1 and less than or equal to n and C is given active power of the ith energy storage unitEAnd the virtual total inertia coefficient is obtained.
4. An energy storage control method for improving the inertia level of a power grid according to any one of claims 1-2, wherein the virtual total inertia coefficient is determined based on an initial virtual total inertia coefficient, and the initial virtual total inertia coefficient is defined by applying the following formula:
wherein the content of the first and second substances,
is an initial virtual total inertia coefficient, PmFor mechanical input of mechanical power, PeFor outputting electromagnetic active power, omega0The rotor electrical angular velocity is a rated value, omega is an actual value of the rotor electrical angular velocity, and delta is a power angle; d is a damping coefficient.
5. An energy storage control method for improving the inertia level of a power grid is characterized in that an energy storage system comprises n energy storage units, wherein n is greater than 1, and the energy storage control method comprises the following steps:
determining an initial virtual total inertia coefficient;
if the active power change rate dP/dt of the energy storage system is less than or equal to 0, determining a virtual inertia coefficient of the energy storage unit based on the initial virtual total inertia coefficient and a given active power coefficient of the energy storage unit;
if the active power change rate dP/dt of the energy storage system is larger than 0, determining a virtual total inertia coefficient of the energy storage system based on the initial virtual total inertia coefficient, the current actual power of the energy storage unit and the current actual frequency, and determining the virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and the given active power coefficient of the energy storage unit;
the determining the virtual total inertia coefficient of the energy storage system based on the initial virtual total inertia coefficient of the energy storage system, the current actual power of the energy storage unit, and the current actual frequency includes: using formulas
Determining the virtual total inertia coefficient CEWherein
Is the initial virtual total inertia coefficient, kfFor frequency tracking coefficients of energy storage systems, PiIs the current actual power, P, of the ith energy storage unitrefiAnd for the given active power of the ith energy storage unit, i is more than or equal to 1 and less than or equal to n, f is the current actual frequency, and M is a frequency variation limiting threshold.
6. An energy storage control system for improving the inertia level of a power grid is characterized in that the energy storage system comprises n energy storage units, wherein n is greater than 1, and the energy storage control system comprises:
the first processing unit is used for determining a virtual total inertia coefficient of the energy storage system based on the initial virtual total inertia coefficient of the energy storage system, the current actual power of the energy storage unit and the current actual frequency;
the determining the virtual total inertia coefficient of the energy storage system based on the initial virtual total inertia coefficient of the energy storage system, the current actual power of the energy storage unit, and the current actual frequency includes: using formulas
Determining the virtual total inertia coefficient CEWherein
Is the initial virtual total inertia coefficient, kfFor frequency tracking coefficients of energy storage systems, PiIs the current actual power, P, of the ith energy storage unitrefiFor a given active power of the ith energy storage unit,i is more than or equal to 1 and less than or equal to n, f is the current actual frequency, and M is a frequency variation limiting threshold;
and the second processing unit is used for determining the virtual inertia coefficient of the energy storage unit based on the virtual total inertia coefficient and the given active power coefficient of the energy storage unit.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the energy storage control method for increasing the inertia level of a power grid as claimed in any one of claims 1 to 5.
8. A non-transitory computer readable storage medium, having a computer program stored thereon, wherein the computer program, when being executed by a processor, implements the steps of the energy storage control method for increasing the inertia level of a power grid according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911001457.3A CN110676862B (en) | 2019-10-21 | 2019-10-21 | Energy storage control method and system for improving power grid inertia level |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911001457.3A CN110676862B (en) | 2019-10-21 | 2019-10-21 | Energy storage control method and system for improving power grid inertia level |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110676862A CN110676862A (en) | 2020-01-10 |
| CN110676862B true CN110676862B (en) | 2021-09-10 |
Family
ID=69083583
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911001457.3A Active CN110676862B (en) | 2019-10-21 | 2019-10-21 | Energy storage control method and system for improving power grid inertia level |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110676862B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113690948B (en) * | 2020-05-18 | 2024-04-12 | 北京金风科创风电设备有限公司 | Method, control terminal and system for controlling virtual inertia response of power generation unit |
| CN112583033B (en) * | 2020-12-02 | 2022-07-26 | 清华四川能源互联网研究院 | Virtual inertia coordination control method and device based on energy storage charge state |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109842157A (en) * | 2019-03-21 | 2019-06-04 | 东北大学 | A kind of microgrid inverter control method based on modified virtual synchronous generator |
-
2019
- 2019-10-21 CN CN201911001457.3A patent/CN110676862B/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109842157A (en) * | 2019-03-21 | 2019-06-04 | 东北大学 | A kind of microgrid inverter control method based on modified virtual synchronous generator |
Non-Patent Citations (2)
| Title |
|---|
| Distributed virtual inertia control and stability analysis of dc microgrid;Xiaorong Zhu等;《The Institution of Engineering and Technology》;20180708;第3477-3486页 * |
| 多微源独立微网中虚拟同步发电机的改进型转动惯量自适应控制;宋琼等;《中国电机工程学报》;20170120;第37卷(第2期);第412-423页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110676862A (en) | 2020-01-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113394809B (en) | Flexible direct current island control method, device and medium based on power grid structure type | |
| CN110676862B (en) | Energy storage control method and system for improving power grid inertia level | |
| Ni et al. | Model order reduction based dynamic equivalence of a wind farm | |
| CN110266039A (en) | Consider wind power fluctuation and cuts the governor parameter optimization method of machine-cut load disturbance frequency modulation next time | |
| CN110875599A (en) | Control method and system for power grid frequency oscillation | |
| CN111725843B (en) | Voltage control method and device based on virtual synchronous generator | |
| Waheed Kumar et al. | Utilization of superconducting magnetic energy storage and doubly fed induction generator for enhancing stability of interconnected power system | |
| CN117375117A (en) | Transient state synchronous stable lifting and analyzing method for network-structured converter considering virtual impedance effect | |
| CN111725815A (en) | Configuration method of synchronous phase modulator of extra-high voltage direct current weak receiving end power grid | |
| CN112765932B (en) | Method and device for analyzing influence of SVG on doubly-fed grid-connected system | |
| CN112510685B (en) | Urban power grid risk avoidance prediction control method and device | |
| Rathore et al. | ARI and ARID control of virtual synchronous generator for frequency response improvement | |
| CN113098058A (en) | Self-adaptive optimization control method, device, equipment and medium for rotational inertia | |
| CN111509723A (en) | Balance adjusting method, system and equipment based on virtual synchronous generator | |
| CN113315121B (en) | Current reference value setting method, device and medium for power grid fault ride-through | |
| CN115276128B (en) | Synchronous stability verification method and device for new energy and camera-adjusting combined system | |
| CN112559960B (en) | Small interference security domain construction method and system of microgrid | |
| CN116960976A (en) | Damping analysis method and device for low-frequency mode of wind power flexible straight offshore station | |
| CN116418037A (en) | Self-adaptive control method, device, equipment and medium for virtual synchronous generator | |
| CN113098047B (en) | Flexible direct-current power grid control method, device, equipment and storage medium | |
| CN115811076A (en) | Equivalent inertia support control method and device based on direct current transmission system | |
| Jayawardena et al. | An aggregated linearised model of a grid-tied microgrid for stability studies | |
| CN117748462A (en) | Impact active power distribution method for voltage-current double-inner-ring type virtual synchronous machine | |
| CN113285494A (en) | Flexible direct-current power grid control method, device, equipment and storage medium | |
| CN117613968A (en) | Energy storage cooperative control method and device with multiple time scales |
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 |