CN115693791A - New energy cluster optimal scheduling control method and system based on multi-field station short-circuit ratio - Google Patents
New energy cluster optimal scheduling control method and system based on multi-field station short-circuit ratio Download PDFInfo
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Abstract
The invention provides a new energy cluster optimal scheduling control method and system based on a multi-field station short-circuit ratio, which comprises the following steps: acquiring operation parameters of each new energy station in the new energy cluster; bringing the operating parameters of each new energy station into a pre-constructed optimized scheduling model, and obtaining the active output of the new energy cluster by combining the short-circuit ratio and the sensitivity relation of the active output of the new energy station; performing new energy cluster optimization scheduling based on the active output of the new energy cluster; the optimal scheduling model is constructed on the basis of a target construction objective function with the maximum active power output by the new energy cluster as a target and with constraint conditions of a short-circuit ratio and an active output limit value of the new energy multi-field station. According to the method, the optimized scheduling model is solved through the sensitivity relation between the short-circuit ratio and the active power output of the new energy station, the optimal solution is obtained, the power generation operation capacity and the power grid strength of the new energy station accessed by different grid-connected points are considered, and the method is favorable for continuous development of new energy.
Description
Technical Field
The invention relates to the technical field of new energy power generation, in particular to a new energy cluster optimal scheduling control method and system based on a multi-station short-circuit ratio.
Background
The new energy access scale is gradually increased, the power grid strength is gradually weakened, and a weak power grid with the new energy as a main power supply is a necessary trend of new energy development.
Part of areas appear in a new energy cluster development area, new energy power generation is far away from a load center and a conventional power distribution point, the new energy power generation is connected to the tail end of a power grid, no load is locally consumed, no conventional power support is provided, and the new energy power generation is sent out through an alternating current/direct current channel. With the further increase of the new energy loading amount, the characteristics of the weak power grid of the new energy access sending end become more obvious and become a normalized scene of the new energy operation.
Under the condition that the new energy cluster scale is continuously increased, the short-circuit capacity of a power grid and the operation short-circuit ratio of new energy equipment are reduced, the coupling between the new energy equipment and the power grid is intensified, and the safe and stable operation risk of the power grid is increased, such as the problem of transient overvoltage of new energy at a direct-current sending end, the problem of wind power at an extra-high-voltage alternating-current sending end, the problem of transient overvoltage of a photovoltaic cluster and the problem of non-power frequency oscillation, wherein the stability problem is closely related to the strength of the power grid and the operation characteristics of the new energy.
At present, aiming at the problems, the new energy power limit power is obtained by calculation according to a local power grid operation mode aggregation model, the output constraint of a unit which is strongly related to stability is considered, the problem is solved by adopting a unified new energy output limit mode, the power generation operation capacity and the power grid strength index difference of different grid-connected points accessed to new energy are not considered, the calculation result is conservative, the resource waste is caused, and the continuous development of new energy is not facilitated.
Disclosure of Invention
In order to solve the problems that in the prior art, the problem that the existing method adopts a mode of uniformly limiting the output of new energy, the difference between the power generation operation capacity and the power grid strength index of different grid-connected points accessed to the new energy is not considered, the calculation result is conservative, the resource waste is caused, and the new energy is not beneficial to the continuous development of the new energy, the invention provides a new energy cluster optimization scheduling control method based on a multi-field station short-circuit ratio, which comprises the following steps:
acquiring operation parameters of each new energy station in the new energy cluster;
bringing the operating parameters of each new energy station into a pre-constructed optimized scheduling model, and obtaining the active output of the new energy cluster by combining the short-circuit ratio and the sensitivity relation of the active output of the new energy station;
performing new energy cluster optimization scheduling based on the active output of the new energy cluster;
the optimal scheduling model is constructed on the basis of a target construction objective function with the maximum active power output by the new energy cluster as a target and with the constraint conditions of the short-circuit ratio and the active output limit value of the new energy multi-field station.
Optionally, the constructing of the optimized scheduling model includes:
constructing a target function with the maximum active power output by the new energy cluster as a target;
setting a new energy multi-station short circuit ratio constraint and an active power output limit constraint for the objective function;
and constructing an optimized scheduling model by the objective function, the short-circuit ratio constraint of the new energy multi-station and the active output limit constraint.
Optionally, the objective function is as follows:
in the formula, P i The active power of a new energy station i is shown, n is the number of stations of a new energy cluster, and i is the number of the new energy station.
Optionally, the constraint of the short circuit ratio of the new energy multi-station is as follows:
MRSCR i ≥CSCR i ；
in the formula MRSCR i The short circuit ratio of the multiple stations is the new energy station i; CSCR i Is the limit short-circuit ratio of the new energy station i.
Optionally, the bringing the operating parameters of each new energy station into a pre-constructed optimized scheduling model, and obtaining the active output of the new energy cluster by combining the short-circuit ratio and the sensitivity relationship of the active output of the new energy station, includes:
calculating the multi-station short-circuit ratio of each new energy station based on the predicted maximum active power of the new energy cluster and a multi-station short-circuit ratio calculation formula;
judging whether the short circuit ratio of the multiple stations of each new energy station meets the constraint of the short circuit ratio of the new energy stations,
when the multi-station short-circuit ratio of each new energy station meets the new energy multi-station short-circuit ratio constraint, the active output of the current new energy cluster is the optimal solution;
when the multi-field station short circuit ratio of the new energy field station does not meet the new energy multi-field station short circuit ratio constraint, the new energy multi-field station short circuit ratio constraint is met by reducing the active power of the new energy field station, and the active output of the new energy cluster is the optimal solution when the multi-field station short circuit ratios of all the new energy field stations meet the new energy multi-field station short circuit ratio constraint.
Optionally, the meeting of the new energy multi-station short-circuit ratio constraint by reducing the active power of the new energy station includes:
arranging the short circuit ratios of the multiple field stations of the new energy field station which does not meet the constraint of the short circuit ratio of the new energy field station from small to large, starting with the new energy field station with the short circuit ratio of the multiple field stations, and judging whether the short circuit ratio of the multiple field stations of the new energy field station is not less than the limit short circuit ratio of the new energy field station or not;
when the active power is not less than the preset value, the active power of the new energy station does not need to be adjusted;
and when the active power of the new energy station is less than the maximum active power of the new energy station, reducing the active power of the new energy station, and recalculating the short circuit ratio of the multiple stations of the new energy station until the short circuit ratio of the multiple stations of the new energy station is not less than the maximum short circuit ratio of the new energy station.
Optionally, the calculation formula of the multi-station short-circuit ratio is shown as follows:
in the formula MRSCR i The short circuit ratio of the multiple stations of the new energy station i is set; s. the ki Short circuit capacity of an access point of a new energy station i; p is j And Q j Respectively the active power and the reactive power of a new energy station j, wherein j is a complex number calculation symbol;
the self-impedance of the power grid is accessed for the new energy station i,
the mutual impedance between the new energy station j and the new energy station i is obtained; n is the number of stations of the new energy cluster; and i is the number of the new energy station.
In another aspect, the present application further provides a new energy cluster optimal scheduling control system based on a multi-farm-station short-circuit ratio, including:
the parameter acquisition module is used for acquiring the operation parameters of each new energy station in the new energy cluster;
the power calculation module is used for substituting the operation parameters of the new energy stations into a pre-constructed optimized scheduling model and obtaining the active output of the new energy cluster by combining the short-circuit ratio and the sensitivity relation of the active output of the new energy stations;
the optimization scheduling module is used for performing optimization scheduling on the new energy cluster based on the active output of the new energy cluster;
the optimal scheduling model is constructed on the basis of a target construction objective function with the maximum active power output by the new energy cluster as a target and with constraint conditions of a short-circuit ratio and an active output limit value of the new energy multi-field station.
Optionally, the power calculating module includes:
the short-circuit ratio calculation submodule is used for calculating the short-circuit ratio of the multiple field stations of each new energy field station based on the predicted maximum active power of the new energy cluster and a calculation formula of the short-circuit ratio of the multiple field stations;
the judging submodule is used for judging whether the short-circuit ratio of the multiple stations of each new energy station meets the new energy multiple station short-circuit ratio constraint or not, and when the short-circuit ratio of the multiple stations of each new energy station meets the new energy multiple station short-circuit ratio constraint, the active output of the current new energy cluster is an optimal solution;
and the adjusting submodule is used for meeting the new energy multi-field station short circuit ratio constraint in a mode of reducing the active power of the new energy field station when the multi-field station short circuit ratio of the new energy field station does not meet the new energy multi-field station short circuit ratio constraint, and taking the active output of the new energy cluster as the optimal solution when the multi-field station short circuit ratios of all the new energy field stations meet the new energy multi-field station short circuit ratio constraint.
Optionally, the adjusting submodule is specifically configured to:
arranging the short circuit ratios of the multiple field stations of the new energy field station which does not meet the constraint of the short circuit ratio of the new energy field station from small to large, starting with the new energy field station with the short circuit ratio of the multiple field stations, and judging whether the short circuit ratio of the multiple field stations of the new energy field station is not less than the limit short circuit ratio of the new energy field station or not;
when the active power is not less than the preset value, the active power of the new energy station does not need to be adjusted;
and if the active power of the new energy station is less than the maximum short-circuit ratio of the new energy station, not reducing the active power of the new energy station, and recalculating the short-circuit ratio of the multiple stations of the new energy station until the short-circuit ratio of the multiple stations of the new energy station is not less than the maximum short-circuit ratio of the new energy station.
Optionally, the short-circuit ratio calculation submodule calculates the short-circuit ratio of the multiple stations according to the following formula:
in the formula MRSCR i The short circuit ratio of the multiple stations of the new energy station i is set; s ki Short-circuit capacity of an access point of a new energy station i; p j And Q j Respectively the active power and the reactive power of a new energy station j, wherein j is a complex number calculation symbol;
the self-impedance of the power grid is accessed for the new energy station i,
the mutual impedance between the new energy station j and the new energy station i is obtained; n is the number of stations of the new energy cluster; and i is the number of the new energy station.
Optionally, the system further comprises a model building module, configured to:
constructing a target function by taking the maximum active power output by the new energy cluster as a target;
setting a new energy multi-station short circuit ratio constraint and an active power output limit constraint for the objective function;
and constructing an optimized scheduling model by the objective function, the short-circuit ratio constraint of the new energy multi-station and the active output limit constraint.
Optionally, the objective function is as follows:
in the formula, P i The active power of the new energy station i is shown, n is the number of the new energy station cluster, and i is the number of the new energy station.
In yet another aspect, the present application further provides a computing device comprising: one or more processors;
a processor for executing one or more programs;
when the one or more programs are executed by the one or more processors, the method for controlling the optimal scheduling of the new energy cluster based on the multi-yard short-circuit ratio is realized.
In still another aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed, implements the new energy cluster optimal scheduling control method based on the multi-farm short-circuit ratio as described above.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a new energy cluster optimal scheduling control method based on a multi-field station short-circuit ratio, which comprises the following steps: acquiring operation parameters of each new energy station in the new energy cluster; bringing the operating parameters of each new energy station into a pre-constructed optimized scheduling model, and obtaining the active output of the new energy cluster by combining the short-circuit ratio and the sensitivity relation of the active output of the new energy station; performing new energy cluster optimization scheduling based on the active output of the new energy cluster; the optimal scheduling model is constructed on the basis of a target construction objective function with the maximum active power output by the new energy cluster as a target and with the constraint conditions of the short-circuit ratio and the active output limit value of the new energy multi-field station. According to the method, the optimized scheduling model is solved through the sensitivity relation between the short-circuit ratio and the active power output of the new energy station, the optimal solution is obtained, the power generation operation capacity and the power grid strength of the new energy station accessed by different grid-connected points are considered, and the method is favorable for continuous development of new energy.
Drawings
FIG. 1 is a flow chart of a new energy cluster optimization scheduling control method based on a multi-field station short-circuit ratio;
fig. 2 is a grid structure of a new energy cluster grid-connected computing example system according to an embodiment of the present invention;
FIG. 3 is a MRSCR-based system provided by the present invention i And P j The optimization solving process schematic diagram of the sensitivity relationship is shown.
Detailed Description
The technical scheme adopted by the invention is aimed at a new energy cluster access area, a new energy scheduling operation optimization model is established based on the strength requirement of stable operation of a new energy power generation access power grid, the maximum active power output by the new energy cluster is an objective function, the sensitivity relation between the new energy multi-field station short-circuit ratio and the active output of different new energy field stations is established by taking the new energy multi-field station short-circuit ratio, the active output limit value and the like as constraint conditions, and the target value is obtained by an iterative solution mode. The method can provide decision support for safe and stable operation and optimized scheduling of the new energy cluster access area.
Compared with the existing new energy cluster scheduling, the invention provides the technical condition of the lowest short-circuit ratio of the new energy cluster operation, establishes the sensitivity relation between the active output of the new energy cluster and the short-circuit ratio of the multi-field station, and provides a joint solution scheme for the stability and the absorption capacity of the new energy cluster scheduling operation.
Example 1:
as shown in fig. 1, the method for controlling optimal scheduling of a new energy cluster based on a short-circuit ratio of multiple substations includes:
s1, acquiring operation parameters of each new energy station in a new energy cluster;
s2, bringing the operating parameters of the new energy stations into a pre-constructed optimized scheduling model, and obtaining the active output of the new energy cluster by combining the short-circuit ratio and the sensitivity relation of the active output of the new energy stations;
s3, performing optimized scheduling on the new energy cluster based on the active output of the new energy cluster;
the optimal scheduling model is constructed on the basis of a target construction objective function with the maximum active power output by the new energy cluster as a target and with constraint conditions of a short-circuit ratio and an active output limit value of the new energy multi-field station.
The invention provides a new energy cluster optimal scheduling control method based on a multi-field station short-circuit ratio, which comprises the following steps:
before step S1, further comprising: and constructing an objective function by taking the maximum active power output by the new energy cluster as a target, and constructing an optimized scheduling model by taking the short-circuit ratio of the new energy multi-field station and the active output limit value as constraint conditions.
And (3) link 1: and establishing a new energy cluster optimization scheduling objective function and a constraint function.
Link 1-1: an objective function:
in the formula, P i Solving variables for the active power of the new energy station i; and n is the number of stations of the new energy cluster.
And (3) link 1-2: constraint function 1:
in the formula MRSCR i The short circuit ratio of the multiple stations is the new energy station i; s ki Short circuit capacity of an access point of a new energy station i; p is j And Q j Respectively the active power and the reactive power of a new energy station j, wherein j is a complex number calculation symbol;
the self-impedance of the power grid is accessed for the new energy station i,
the mutual impedance between the new energy station j and the new energy station i is obtained; n is the number of stations of the new energy cluster, and sigma includes the condition that j = i; CSCR i Is the limit short-circuit ratio of the new energy station i.
Link 1-3: constraint function 2:
P i_min ≤P i ≤P i_max (3)
in the formula, P i Is the active power, P, of the new energy station i i_min Is the minimum value of active power output, P, of the new energy station i i_max And (4) predicting and outputting the maximum value for the active power of the new energy station i.
The acquiring of the operation parameters of each new energy station in the new energy cluster in the S1 specifically includes:
the operation parameters of the new energy station comprise: the active power, the reactive power, the minimum value of the active power output, the maximum value of the active power predicted output, the self-impedance of the new energy station accessed to the power grid, the mutual impedance of the new energy station accessed to the power grid and other new energy stations and the limit short-circuit ratio of the new energy station are determined.
In S2, bringing the operating parameters of the new energy stations into a pre-constructed optimized scheduling model, and obtaining the active output of the new energy cluster by combining the short-circuit ratio and the sensitivity relationship of the active output of the new energy stations, the method comprises the following steps:
calculating the multi-station short-circuit ratio of each new energy station based on the predicted maximum active power of the new energy cluster and a multi-station short-circuit ratio calculation formula;
judging whether the short circuit ratio of the multiple stations of each new energy station meets the constraint of the short circuit ratio of the new energy stations,
when the multi-station short-circuit ratio of each new energy station meets the new energy multi-station short-circuit ratio constraint, the active output of the current new energy cluster is the optimal solution;
when the multi-field station short circuit ratio of the new energy field station does not meet the new energy multi-field station short circuit ratio constraint, the new energy multi-field station short circuit ratio constraint is met by reducing the active power of the new energy field station, and the active output of the new energy cluster is the optimal solution when the multi-field station short circuit ratios of all the new energy field stations meet the new energy multi-field station short circuit ratio constraint.
Wherein, satisfy new forms of energy many stations short circuit ratio restraint through the mode that reduces the active power of new forms of energy station, include:
arranging the short circuit ratios of the multiple stations of the new energy station which does not meet the constraint of the short circuit ratio of the new energy station in a descending order, starting with the new energy station with the short circuit ratio of the multiple stations, and judging whether the short circuit ratio of the multiple stations of the new energy station is not less than the limit short circuit ratio of the new energy station;
when the active power is not less than the preset value, the active power of the new energy station does not need to be adjusted;
and when the active power of the new energy station is less than the maximum active power of the new energy station, reducing the active power of the new energy station, and recalculating the short circuit ratio of the multiple stations of the new energy station until the short circuit ratio of the multiple stations of the new energy station is not less than the maximum short circuit ratio of the new energy station.
And (2) link: and solving the objective function under the conditions of the constraint function 1 and the constraint function 2.
Link 2-1: to solve the objective function, an MRSCR is established i And P j Sensitivity relationship of (1):
in the formula (I), the compound is shown in the specification,
as MRSCR i To P j Sensitivity of, MRSCR i (P j ) The active power of the new energy station j is P j Multi-station short-circuit ratio, MRSCR, of new energy station i i (P j -ΔP j ) The active power of the new energy station j is P j -ΔP j Multiple station short-circuit ratio, delta P, of new energy station i j And the active power variation of the new energy station j is obtained.
Link 2-2: in order to meet constraint function 1, the multi-station short circuit ratio of each new energy station is calculated based on the predicted maximum active power of the current new energy cluster, and if MRSCR of all new energy stations i If the constraint function 1 is met, the active output of the current new energy cluster is already an optimal solution; MRSCR of partial new energy station i If the constraint function 1 is not satisfied, executing a link 2-3;
and link 2-3: according to the sequencing of the short circuit ratio of the multiple stations of the new energy station from small to large, the constraint function 1 is satisfied by reducing the active power of the new energy station; by MRSCR i The smallest new energy station k starts, according to
In order of magnitude, if MRSCR j ≥CSCR j Then P is not adjusted j (ii) a If MRSCR j <CSCR j Then P is decreased j And solving the MRSCR of all the new energy stations again until one of the following three conditions is met: MRSCR j ≥CSCR j ，MRSCR k ≥CSCR k ，P j ＝P j_min . And circularly solving until all the new energy stations meet the constraint function 1, and obtaining the active power P of each new energy station i And summing to obtain the solution value of the objective function. According to the invention, the active power of the new energy station is reduced, so that the short circuit ratio of the multiple stations of each new energy station is greater than the limit short circuit ratio of each new energy station.
And S3, carrying out new energy cluster optimization scheduling based on the active output of the new energy cluster.
Example 2:
the following detailed description of embodiments of the invention is provided in connection with the accompanying drawings. The invention provides a new energy cluster optimal scheduling control method based on a multi-field station short-circuit ratio, which comprises the following steps: firstly, establishing a new energy cluster optimization scheduling objective function, namely, the sum of the output active power of the new energy cluster is maximum; secondly, establishing a constraint function of the new energy cluster optimization scheduling, wherein the constraint function comprises a multi-station short-circuit ratio minimum constraint and a new energy station active power output limit value; and thirdly, establishing a sensitivity relation between the short circuit ratio of the new energy multi-station and the active power of the new energy station, and iteratively solving an objective function according to the sensitivity relation. The technical scheme adopted by the invention aims at the access area of the new energy cluster, and solves the maximum output active power of the new energy cluster by taking the multi-station short-circuit ratio for evaluating the stable operation of the new energy as a boundary so as to provide a guidance suggestion for the scheduling operation of the new energy.
The example system for grid connection of the new energy cluster shown in fig. 2 is specifically as follows:
the method comprises the following steps: establishing a new energy cluster optimization scheduling objective function:
in the formula, P i Solving variables for the active power of the new energy station i; n =56 represents the number of stations of the new energy cluster.
Step two: establishing a new energy cluster optimization scheduling constraint function 1:
solving a multi-station short circuit ratio MRSCR of each new energy station according to a formula (1), determining a limit short circuit ratio CSCR of each new energy station according to the investment, and recommending CSCR =1.5 when the new energy station of the CSCR cannot be determined, as shown in an attached table 1.
TABLE 1 active power, MRSCR and CSCR of new energy station
Step three: establishing a new energy cluster optimization scheduling constraint function 2:
determining the maximum active power output value of each new energy station according to the prediction data, if the maximum active power output value of each station cannot be obtained, calculating by multiplying the historical synchronization rate of the local new energy station by the rated capacity of the new energy station, wherein in the present example, the maximum active power of the new energy station is 100 percent pn, and the minimum active power of the new energy station is 0, as shown in attached table 2:
table 2 shows active power output constraints of the new energy station
Step four: as shown in table 1, the multi-station short-circuit ratio MRSCR of some new energy stations is lower than the limit short-circuit ratio CSCR, which threatens the safe and stable operation of the new energy cluster accessing to the power grid, so that the active power output by the new energy station needs to be optimized and scheduled, and the flow chart shown in fig. 3 is used for optimization solution.
Step 4-1: according to the sequence from small to large of the MRSCR, calculating the sensitivity of the MRSCR of the new energy station A-1 to the active power P output by all the new energy stations according to a formula (4), as shown in Table 3:
table 3 sensitivity of new energy station X to new energy station active power by multi-station short circuit ratio
Step 4-2: to reduce the active power of the new energy station A-32, in the present exemplary embodiment, Δ P is set Y ＝10％P Yn ，P Yn Ensuring P for the rated power of the new energy station A-32 Y -ΔP Y ≥P Y_min And recalculating the multi-station short circuit ratio MRSCR of all the new energy stations.
Step 4-3: iteratively reducing the active power of the new energy station, and calculating the short-circuit ratio of the multiple stations until all MRSCR stations of the new energy station i ≥CSCR i Obtaining the active power P of each new energy station i As shown in table 4, a new energy cluster optimization scheduling solution of the present specification example is obtained.
TABLE 4 scheduling optimization solution results for new energy field station
Example 3:
the invention based on the same inventive concept also provides a new energy cluster optimization scheduling control system based on the short-circuit ratio of the multi-field station, which comprises the following steps:
the parameter acquisition module is used for acquiring the operation parameters of each new energy station in the new energy cluster;
the power calculation module is used for substituting the operation parameters of the new energy stations into a pre-constructed optimized scheduling model and obtaining the active output of the new energy cluster by combining the short-circuit ratio and the sensitivity relation of the active output of the new energy stations;
the optimization scheduling module is used for performing new energy cluster optimization scheduling based on the active output of the new energy cluster;
the optimal scheduling model is constructed on the basis of a target construction objective function with the maximum active power output by the new energy cluster as a target and with the constraint conditions of the short-circuit ratio and the active output limit value of the new energy multi-field station.
Optionally, the power calculating module includes:
the short-circuit ratio calculation submodule is used for calculating the short-circuit ratio of the multiple field stations of each new energy field station based on the predicted maximum active power of the new energy cluster and a calculation formula of the short-circuit ratio of the multiple field stations;
the judging submodule is used for judging whether the short-circuit ratio of the multi-field station of each new energy field station meets the constraint of the short-circuit ratio of the multi-field station of the new energy field station, and when the short-circuit ratio of the multi-field station of each new energy field station meets the constraint of the short-circuit ratio of the multi-field station of the new energy field station, the active output of the current new energy cluster is the optimal solution;
and the adjusting submodule is used for meeting the new energy multi-field station short circuit ratio constraint in a mode of reducing the active power of the new energy field station when the multi-field station short circuit ratio of the new energy field station does not meet the new energy multi-field station short circuit ratio constraint, and taking the active output of the new energy cluster as the optimal solution when the multi-field station short circuit ratios of all the new energy field stations meet the new energy multi-field station short circuit ratio constraint.
Optionally, the adjusting sub-module is specifically configured to:
arranging the short circuit ratios of the multiple stations of the new energy station which does not meet the constraint of the short circuit ratio of the new energy station in a descending order, and starting with the new energy station with the minimum short circuit ratio of the multiple stations;
calculating the sensitivity with the active power of other new energy stations according to the sensitivity relational expression of the short circuit ratio and the active power output of the new energy stations, and arranging the sensitivity from large to small;
adjusting the active power value of the new energy station corresponding to the sensitivity according to the sensitivity sequence and the active power constraint condition, wherein the short circuit ratio of multiple stations of the new energy station needs to be recalculated when the active power value of one new energy station is adjusted;
and judging whether the short circuit ratio of the plurality of stations meets the new energy multi-station short circuit ratio constraint or not until the short circuit ratios of the plurality of stations of all the new energy stations meet the new energy multi-station short circuit ratio constraint.
Optionally, the short-circuit ratio calculating submodule calculates the short-circuit ratio of the multiple stations according to the following formula:
in the formula MRSCR i The short circuit ratio of the multiple stations of the new energy station i is set; s. the ki Short circuit capacity of an access point of a new energy station i; p j And Q j Respectively the active power and the reactive power of a new energy station j, wherein j is a complex number calculation symbol;
the self-impedance of the power grid is accessed for the new energy station i,
the mutual impedance between the new energy station j and the new energy station i is obtained; n is the number of stations of the new energy cluster; and i is the number of the new energy station.
The new energy cluster optimization scheduling control system based on the multi-field station short-circuit ratio further comprises a model building module used for:
constructing a target function by taking the maximum active power output by the new energy cluster as a target;
setting a new energy multi-station short circuit ratio constraint and an active power output limit constraint for the objective function;
and constructing an optimized scheduling model by the objective function, the short-circuit ratio constraint of the new energy multi-station and the active output limit constraint.
The objective function is shown as follows:
in the formula, P i The active power of a new energy station i is shown, n is the number of stations of a new energy cluster, and i is the number of the new energy station.
The short circuit ratio constraint of the new energy multi-station is shown as follows:
MRSCR i ≥CSCR i ；
in the formula MRSCR i The short circuit ratio of the multiple stations is the new energy station i; CSCR i Is the limit short-circuit ratio of the new energy station i.
The active power constraint is shown as follows:
P i_min ≤P i ≤P i_max ；
in the formula, P i Active power, P, for new energy station i i_min Is the minimum value of active power output, P, of the new energy station i i_max And (4) predicting and outputting the maximum value for the active power of the new energy station i.
Example 4:
based on the same inventive concept, the present invention also provides a computer device comprising a processor and a memory, the memory being configured to store a computer program comprising program instructions, the processor being configured to execute the program instructions stored by the computer storage medium. The Processor may be a Central Processing Unit (CPU), or may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable gate array (FPGA) or other Programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, etc., which is a computing core and a control core of the terminal, and is specifically adapted to implement one or more instructions, and specifically adapted to load and execute one or more instructions in a computer storage medium, so as to implement a corresponding method flow or a corresponding function, so as to implement the steps of the new energy cluster optimized scheduling control method based on the multi-Field station short-Circuit ratio in the foregoing embodiments.
Example 5:
based on the same inventive concept, the present invention further provides a storage medium, in particular a computer readable storage medium (Memory), which is a Memory device in a computer device and is used for storing programs and data. It is understood that the computer readable storage medium herein can include both built-in storage media in the computer device and, of course, 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, one or more instructions, which may be one or more computer programs (including program code), are stored in the memory space and are adapted to be loaded and executed by the processor. It should be noted that the computer-readable storage medium may be a high-speed RAM memory, or may be a non-volatile memory (non-volatile memory), such as at least one disk memory. One or more instructions stored in the computer-readable storage medium may be loaded and executed by the processor to implement the steps of the new energy cluster optimized scheduling control method based on the multi-farm short-circuit ratio in the foregoing embodiments.
As will be appreciated by one skilled in the art, 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.
The present invention is not limited to the above embodiments, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention are included in the scope of the claims of the present invention.
Claims (16)
1. A new energy cluster optimization scheduling control method based on a multi-field station short-circuit ratio is characterized by comprising the following steps:
acquiring operation parameters of each new energy station in the new energy cluster;
bringing the operating parameters of each new energy station into a pre-constructed optimized scheduling model, and obtaining the active output of the new energy cluster by combining the short-circuit ratio and the sensitivity relation of the active output of the new energy station;
performing new energy cluster optimization scheduling based on the active output of the new energy cluster;
the optimal scheduling model is constructed on the basis of a target construction objective function with the maximum active power output by the new energy cluster as a target and with the constraint conditions of the short-circuit ratio and the active output limit value of the new energy multi-field station.
2. The method of claim 1, wherein the constructing of the optimized scheduling model comprises:
constructing a target function by taking the maximum active power output by the new energy cluster as a target;
setting a new energy multi-station short circuit ratio constraint and an active power output limit constraint for the objective function;
and constructing an optimized scheduling model by the objective function, the short circuit ratio constraint of the new energy multi-station and the active output limit constraint.
3. The method of claim 2, wherein the objective function is represented by the following equation:
in the formula, P i The active power of a new energy station i is shown, n is the number of stations of a new energy cluster, and i is the number of the new energy station.
4. The method of claim 2, wherein the new energy multi-site short circuit ratio constraint is as follows:
MRSCR i ≥CSCR i ；
in the formula MRSCR i The short circuit ratio of the multiple stations of the new energy station i is set; CSCR i Is the limit short-circuit ratio of the new energy station i.
5. The method according to claim 1, wherein the bringing the operation parameters of each new energy station into a pre-constructed optimized scheduling model, and the obtaining the active output of the new energy cluster by combining the short-circuit ratio and the sensitivity relationship of the active output of the new energy station comprises:
calculating the multi-station short-circuit ratio of each new energy station based on the predicted maximum active power of the new energy cluster and a multi-station short-circuit ratio calculation formula;
judging whether the short circuit ratio of the multiple stations of each new energy station meets the constraint of the short circuit ratio of the new energy stations,
when the multi-station short-circuit ratio of each new energy station meets the new energy multi-station short-circuit ratio constraint, the active output of the current new energy cluster is an optimal solution;
when the multi-site short-circuit ratio of the new energy site does not meet the new energy multi-site short-circuit ratio constraint, the new energy multi-site short-circuit ratio constraint is met by reducing the active power of the new energy site, and the active output of the new energy cluster is the optimal solution when the multi-site short-circuit ratios of all the new energy sites meet the new energy multi-site short-circuit ratio constraint.
6. The method of claim 5, wherein satisfying the new energy multi-farm short circuit ratio constraint by reducing active power of the new energy farm comprises:
arranging the short circuit ratios of the multiple stations of the new energy station which does not meet the constraint of the short circuit ratio of the new energy station in a descending order, and starting with the new energy station with the minimum short circuit ratio of the multiple stations;
calculating the sensitivity with the active power of other new energy stations according to the sensitivity relational expression of the short circuit ratio and the active power output of the new energy stations, and arranging the sensitivity from large to small;
adjusting the active power value of the new energy station corresponding to the sensitivity according to the sensitivity sequence and the active power constraint condition, wherein the short circuit ratio of multiple stations of the new energy station needs to be recalculated when the active power value of one new energy station is adjusted;
and judging whether the short circuit ratio of the plurality of stations meets the new energy multi-station short circuit ratio constraint or not until the short circuit ratios of the plurality of stations of all the new energy stations meet the new energy multi-station short circuit ratio constraint.
7. The method of claim 6, wherein the adjusting the active power value of the new energy farm station corresponding to the sensitivity according to the active power constraint in the sensitivity order comprises:
and reducing the active power value of the new energy station within the active power constraint condition range according to the sequence of the active power sensitivity of the new energy station from high to low.
8. The method of claim 5, wherein the multi-site short circuit ratio calculation is as follows:
in the formula MRSCR i The short circuit ratio of the multiple stations is the new energy station i; s ki Short-circuit capacity of an access point of a new energy station i; p j And Q j Respectively the active power and the reactive power of a new energy station j, wherein j is a complex number calculation symbol;
the self-impedance of the power grid is accessed for the new energy station i,
the mutual impedance between the new energy station j and the new energy station i is obtained; n is the number of stations of the new energy cluster; and i is the serial number of the new energy station.
9. New energy cluster optimization scheduling control system based on many stations short circuit ratio, its characterized in that includes:
the parameter acquisition module is used for acquiring the operating parameters of each new energy station in the new energy cluster;
the power calculation module is used for substituting the operation parameters of the new energy stations into a pre-constructed optimized scheduling model and obtaining the active output of the new energy cluster by combining the short-circuit ratio and the sensitivity relation of the active output of the new energy stations;
the optimization scheduling module is used for performing new energy cluster optimization scheduling based on the active output of the new energy cluster;
the optimal scheduling model is constructed on the basis of a target construction objective function with the maximum active power output by the new energy cluster as a target and with constraint conditions of a short-circuit ratio and an active output limit value of the new energy multi-field station.
10. The system of claim 9, wherein the power calculation module comprises:
the short-circuit ratio calculation submodule is used for calculating the short-circuit ratio of the multiple field stations of each new energy field station based on the predicted maximum active power of the new energy cluster and a calculation formula of the short-circuit ratio of the multiple field stations;
the judging submodule is used for judging whether the short-circuit ratio of the multi-field station of each new energy field station meets the constraint of the short-circuit ratio of the multi-field station of the new energy field station, and when the short-circuit ratio of the multi-field station of each new energy field station meets the constraint of the short-circuit ratio of the multi-field station of the new energy field station, the active output of the current new energy cluster is the optimal solution;
and the adjusting submodule is used for meeting the new energy multi-field station short circuit ratio constraint in a mode of reducing the active power of the new energy field station when the multi-field station short circuit ratio of the new energy field station does not meet the new energy multi-field station short circuit ratio constraint, and taking the active output of the new energy cluster as the optimal solution when the multi-field station short circuit ratios of all the new energy field stations meet the new energy multi-field station short circuit ratio constraint.
11. The system of claim 10, wherein the adjustment submodule is specifically configured to:
arranging the short circuit ratios of the multiple stations of the new energy station which does not meet the constraint of the short circuit ratio of the new energy station in a descending order, and starting with the new energy station with the minimum short circuit ratio of the multiple stations;
calculating the sensitivity with the active power of other new energy stations according to the sensitivity relational expression of the short circuit ratio and the active power output of the new energy stations, and arranging the sensitivity from large to small;
adjusting the active power value of the new energy station corresponding to the sensitivity according to the sensitivity sequence and the active power constraint condition, wherein the short circuit ratio of multiple stations of the new energy station needs to be recalculated when the active power value of one new energy station is adjusted;
and judging whether the short circuit ratio of the multiple stations meets the constraint of the short circuit ratio of the new energy multiple stations or not until the short circuit ratios of the multiple stations of all the new energy stations meet the constraint of the short circuit ratio of the new energy multiple stations.
12. The system of claim 11, wherein the short circuit ratio calculation submodule calculates a multi-site short circuit ratio by:
in the formula MRSCR i The short circuit ratio of the multiple stations is the new energy station i; s ki Short circuit capacity of an access point of a new energy station i; p j And Q j Respectively the active power and the reactive power of a new energy station j, wherein j is a complex number calculation symbol;
the self-impedance of the power grid is accessed for the new energy station i,
the mutual impedance between the new energy station j and the new energy station i is obtained; n is the number of stations of the new energy cluster; and i is the serial number of the new energy station.
13. The system of claim 9, further comprising a model building module to:
constructing a target function by taking the maximum active power output by the new energy cluster as a target;
setting a new energy multi-station short circuit ratio constraint and an active power output limit constraint for the objective function;
and constructing an optimized scheduling model by the objective function, the short circuit ratio constraint of the new energy multi-station and the active output limit constraint.
14. The system of claim 13, wherein the objective function is expressed as:
in the formula, P i The active power of a new energy station i is shown, n is the number of stations of a new energy cluster, and i is the number of the new energy station.
15. A computer device, comprising: one or more processors;
the processor to store one or more programs;
the one or more programs, when executed by the one or more processors, implement the new energy cluster optimized scheduling control method based on multi-yard short-circuit ratio as recited in any of claims 1 to 8.
16. A computer-readable storage medium, on which a computer program is stored, which, when executed, implements the new energy cluster optimal scheduling control method based on multi-farm station short-circuit ratio according to any one of claims 1 to 8.
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