CN116742725A - Regional new energy output maximum value solving method considering power conversion factor - Google Patents

Regional new energy output maximum value solving method considering power conversion factor Download PDF

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Publication number
CN116742725A
CN116742725A CN202211714083.1A CN202211714083A CN116742725A CN 116742725 A CN116742725 A CN 116742725A CN 202211714083 A CN202211714083 A CN 202211714083A CN 116742725 A CN116742725 A CN 116742725A
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new energy
output
short
station
circuit ratio
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Inventor
张汉花
王小立
郭得扬
李旭涛
张书瑀
刘长卿
徐式蕴
孙华东
李宏强
周雷
马鑫
顾雨嘉
薛飞
杨慧彪
吴玫蓉
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China Electric Power Research Institute Co Ltd CEPRI
State Grid Ningxia Electric Power Co Ltd
Electric Power Research Institute of State Grid Ningxia Electric Power Co Ltd
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China Electric Power Research Institute Co Ltd CEPRI
State Grid Ningxia Electric Power Co Ltd
Electric Power Research Institute of State Grid Ningxia Electric Power Co Ltd
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Priority to CN202211714083.1A priority Critical patent/CN116742725A/en
Publication of CN116742725A publication Critical patent/CN116742725A/en
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/48—Controlling the sharing of the in-phase component
    • 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
    • H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a method for solving a local new energy output maximum value considering a power conversion factor. Comprising the following steps: based on the basic information of the collected power system, carrying out power flow rationality analysis on the power system; setting the output force of each new energy unit in the near zone as a decision variable, and listing an objective function corresponding to the output force of each new energy unit in the near zone; determining that the short-circuit ratio of the new energy multi-station at the near-zone new energy machine end is greater than or equal to 1.5 as a first constraint condition; determining the upper output limit and the lower output limit of the output of each new energy unit in the near zone considered based on regional weather factors as a second constraint condition; determining target constraint conditions which are required to be met by the new energy output adjustment of the near zone; determining a constraint optimization expression of the new energy output of the near zone; calculating the short-circuit ratio of the new energy multi-station of each new energy unit; judging whether the short-circuit ratio of the new energy multi-station of each new energy unit is more than or equal to 1.5; and according to the judging result and the corresponding adjusting rule, adjusting the output of each new energy unit.

Description

Regional new energy output maximum value solving method considering power conversion factor
Technical Field
The invention relates to the technical field of operation adjustment of an electric power system, in particular to a regional new energy output maximum value solving method considering a power conversion factor.
Background
The new energy multi-station short circuit ratio (multiple renewable energy station short circuit ratio, MRSCR) is a short circuit ratio index that accounts for the interaction between multiple new energy stations. The index considers the amplitude and the phase difference of each electric quantity among different nodes, can account the reactive influence of new energy power generation equipment, and is suitable for evaluating and calculating the voltage intensity of the multi-new energy station access system under various different scenes.
The short-circuit ratio of the new energy multi-station reflects the voltage intensity of the multi-new energy station access system and the reactive voltage supporting capacity of the power grid to the access point/station grid-connected point bus of the new energy power generation equipment. In engineering, the receiving impedance ratioAnd |U i |＝|U j Assume =1, and calculate on the premise that:
S aci the three-phase short-circuit capacity of the grid side access point/station grid-connected point of the new energy power generation equipment;
n is the total number of regional new energy units;
P i injecting active power of the system into the new energy unit i;
λ ij the power conversion factor between the new energy grid-connected buses i and j reflects the amplitude difference of equivalent impedance of the access point on the power grid side of each new energy power generation device/the grid-connected point of the new energy station, and can be expressed as follows:
Wherein Z is eqij And j-th row elements of the equivalent impedance matrix between the new energy source and the main network equivalent power source. Qualitatively, i unitsIs the output P of (2) i The smaller the MRSCR i The larger the output P of other new energy units in the area j According to the conversion factor lambda ij To a different extent affect MRSCR i Is of a size of (2); the power generation device reduces the output of the regional new energy unit as a whole, the MRSCR is increased, and the reactive voltage supporting capacity of the power grid to the access point bus of the power grid side of the new energy power generation device is larger as the voltage intensity corresponding to the access system of the multiple new energy stations is larger.
In engineering, the MRSCR index has certain indicating capability on the transient overvoltage level of new energy at the transmitting end of the direct current transmission engineering, the prior art provides the concept of the critical short circuit ratio of the new energy station and the criterion of the critical short circuit ratio index of 1.5, and the Australian power grid requires any power generation equipment to stably operate under the system condition that the short circuit ratio of an access point is 1.5, so that test verification is carried out on the power generation equipment. The mandatory national standard safety and stability guidelines of the electric power system in 2020 provides definition of short-circuit ratio of multiple stations of new energy. The short-circuit ratio of the multi-station on the low-voltage side of the new energy power generation unit, which is boosted by the new energy power generation unit, is not less than 1.5 by combining the existing relevant standards at home and abroad and the performance of the actual new energy under various working conditions and disturbance, and is the minimum requirement that the stable operation of the equipment needs to be met. In the method, 1.5 is adopted as an MRSCR critical value index of a new energy machine end at the low-voltage side of the boosting of the new energy power generation unit.
Constraint optimization (Constrained Optimization) is a mathematical method that finds a set of parameter values under a series of constraints to optimize the target value of a function or set of functions. Constraint optimization is an important branch of early research, quick development, wide application and mature method in the optimization problem, and is widely applied to the aspects of military operations, economic analysis, operation management, engineering technology and the like.
However, because a large amount of new energy is accessed to the near-end region of the alternating-current system of the direct-current transmission project, and the new energy output level and the running power of the direct-current project are constrained by the transient overvoltage of the new energy in the near-end region, the maximum value of the new energy output sum in the regional power grid constrained by the transient overvoltage of the new energy cannot be accurately given. And the MRSCR effect on the machine end of the machine set is limited only according to the single machine output optimization.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a regional new energy output maximum value solving method considering a power conversion factor.
According to one aspect of the present invention, there is provided a local new energy output maximum value calculation method taking into account a power conversion factor, including:
Basic information of the power system is collected, and power flow rationality analysis is carried out on the power system based on the collected basic information;
setting the output force of each new energy unit in the near zone as a decision variable, and listing an objective function corresponding to the output force of each new energy unit in the near zone;
determining that the short-circuit ratio of the new energy multi-station at the near-zone new energy machine end is greater than or equal to 1.5 as a first constraint condition;
determining the output P of each new energy unit in the near zone based on regional weather factor consideration i Upper limit of output P of (2) ilim_up Lower limit of output P ilim_low Is a second constraint;
determining target constraint conditions which are to be met by the near-zone new energy output adjustment according to the first constraint conditions and the second constraint conditions;
according to the objective function and the objective constraint condition, determining a constraint optimization expression of the near-zone new energy output as follows:
wherein P is i For the output of each new energy unit in the near zone, MRSCR i Short-circuit ratio of new energy multi-station at ith near-field new energy machine end, P ilim_up Output P for each new energy unit in near zone i Upper limit of P ilim_low Output P for each new energy unit in near zone i Lower limit of (2);
calculating the short-circuit ratio of the new energy multi-station of each new energy unit based on the constraint optimization expression of the new energy output of the near zone;
judging whether the short-circuit ratio of the new energy multi-station of each new energy unit is greater than or equal to 1.5 according to the calculated short-circuit ratio of the new energy multi-station;
According to the result of the judgment, the output of each new energy unit is regulated according to the corresponding regulation rule, wherein
When the judging result is that the short-circuit ratio of the new energy multi-station at the machine end of the new energy unit exists in the area is smaller than 1.5, sequencing the new energy units according to the short-circuit ratio of the new energy multi-station;
if MRSCR minimum new energy unit output P i Satisfy P i ≤P i_low Let P i ＝P i_low And the output of the unit m with the largest power conversion factor in the near-zone unit with the adjustment margin is adjusted to reduce delta P, if delta P is not reduced enough, P is reduced m ＝P m_low ；
Executing the classified output adjustment for multiple times, and re-calculating the short-circuit ratio of the new energy multi-station of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station of the unit m with the minimum short-circuit ratio of the new energy multi-station rises to a critical range MRSCR m More than or equal to 1.5, wherein MRSCR is short-circuit ratio of new energy multi-station, and
the calculation formula of the power conversion factor is as follows:
wherein j εN, j.ltoreq.n and j.noteq.i, λ ij The Zeqij is the power conversion factor between the new energy grid-connected buses i and j, and is the i row and j column elements of the equivalent impedance matrix between the new energy and the main network equivalent power supply.
Optionally, according to the result of the judgment, adjusting the output of each new energy unit according to a corresponding adjustment rule, including:
When the judging result is that the short-circuit ratio of the new energy multi-station at the machine end of all the new energy units in the area is not less than 1.5, sequencing all the new energy units according to the short-circuit ratio of the new energy multi-station;
if the new energy unit i with the largest MRSCR meets P i ＜P i_up - ΔP, let P i ＝P i_up The output adjustment is carried out for a plurality of times, the short-circuit ratio of the new energy multi-station at the machine end of each new energy machine set is recalculated after each adjustment until the short-circuit ratio of the new energy multi-station at the machine end of the new energy machine set with the minimum short-circuit ratio of the new energy multi-station is reduced to the critical range of 1.52 more than or equal to MRSCR m ≥1.5；
If the new energy unit i with the largest MRSCR does not meet P i ＜P i_up Reducing the output delta P of the unit, executing the output adjustment for a plurality of times, and recalculating the short-circuit ratio of the new energy multi-station at the machine end of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station at the m machine end of the new energy unit with the minimum short-circuit ratio of the new energy multi-station is reduced to be more than or equal to MRSCR within a critical range of 1.52 m ≥1.5；
If the initial working condition is that the new energy machine set m with the minimum short-circuit ratio of the multiple stations at the new energy machine end meets 1.52 more than or equal to MRSCR m And (5) is more than or equal to 1.5, and is directly considered as a group of maximum values.
Optionally, when the determined result is that the short-circuit ratio of the new energy multi-station at the machine end of the new energy unit is less than 1.5, after the operation of sequencing each new energy unit according to the short-circuit ratio of the new energy multi-station, the method further includes:
If MRSCR minimum new energy unit output P i Satisfy P i ＞P i_low +ΔP, decreasing the output ΔP, performing the classified output adjustment for a plurality of times, and recalculating the new energy multi-station short-circuit ratio of each new energy unit after each adjustment until the new energy multi-station short-circuit ratio of the unit m with the minimum new energy multi-station short-circuit ratio is raised to the critical range MRSCR m ≥1.5；
If MRSCR minimum new energy unit output P i Satisfy P i_low ＜P i ＜P i_low +ΔP, let P i ＝P i_low Executing the classified output adjustment for multiple times, and recalculating the short-circuit ratio of the new energy multi-station of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station of the unit m with the minimum short-circuit ratio of the new energy multi-station rises to the critical valueRange MRSCR m ≥1.5。
Optionally, according to the adjusted result, solving the maximum value of the sum of the output of the near-area new energy units and the corresponding new energy output distribution, including:
and obtaining a group of solutions of the objective function corresponding to the output of each new energy unit in the near zone according to the adjusted result, thereby obtaining the maximum value of the output sum of the new energy units in the near zone and the corresponding new energy output distribution.
Optionally, the basic information includes: active power value P of each new energy node in near zone i Upper limit P of output based on weather factors in the region ilim_up Lower limit of output P ilim_low Short-circuit capacity S aci And power system topology and power conversion ratioAnd impedance matrix->
Optionally, the power system is subjected to power flow rationality analysis based on the collected basic information, including:
based on the acquired basic information, checking node voltage, line power and transformer on-line and off-line power, and ensuring power flow convergence and rationality;
and if the power flow is not converged or unreasonable, readjusting the parameters of the power system.
According to another aspect of the present invention, there is provided an apparatus for obtaining a local new energy output maximum value taking into account a power conversion factor, comprising:
the acquisition module is used for acquiring basic information of the power system and carrying out tide rationality analysis on the power system based on the acquired basic information;
the setting module is used for setting the output force of each new energy unit in the near zone as a decision variable and listing an objective function corresponding to the output force of each new energy unit in the near zone;
the first determining module is used for determining that the short-circuit ratios of the new energy multi-station at the near-zone new energy machine end are all larger than or equal to 1.5 as a first constraint condition;
a second determining module for determining the output P of each new energy unit in the near zone based on regional weather factors i Upper limit of output P of (2) ilim_up Lower limit of output P ilim_low Is a second constraint;
the third determining module is used for determining target constraint conditions which are required to be met by the near-zone new energy output adjustment according to the first constraint condition and the second constraint condition;
the fourth determining module is used for determining a constraint optimization expression of the new energy output of the near zone according to the objective function and the objective constraint condition as follows:
wherein P is i For the output of each new energy unit in the near zone, MRSCR i Short-circuit ratio of new energy multi-station at ith near-field new energy machine end, P ilim_up Output P for each new energy unit in near zone i Upper limit of P ilim_low Output P for each new energy unit in near zone i Lower limit of (2);
the calculation module is used for calculating the short-circuit ratio of the new energy multi-station of each new energy unit based on the constraint optimization expression of the new energy output of the near zone;
the judging module is used for judging whether the short-circuit ratio of the new energy multi-station of each new energy unit is greater than or equal to 1.5 according to the calculated short-circuit ratio of the new energy multi-station;
the adjusting module is used for adjusting the output of each new energy unit according to the judging result and the corresponding adjusting rule, wherein
When the judging result is that the short-circuit ratio of the new energy multi-station at the machine end of the new energy unit exists in the area is smaller than 1.5, sequencing the new energy units according to the short-circuit ratio of the new energy multi-station;
If MRSCR minimum new energy unit output P i Satisfy P i ≤P i_low Let P i ＝P i_low And the output of the unit m with the largest power conversion factor in the near-zone unit with the adjustment margin is adjusted to reduce delta P, if delta P is not reduced enough, P is reduced m ＝P m_low ；
Executing the classified output adjustment for multiple times, and re-calculating the short-circuit ratio of the new energy multi-station of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station of the unit m with the minimum short-circuit ratio of the new energy multi-station rises to a critical range MRSCR m More than or equal to 1.5, wherein MRSCR is short-circuit ratio of new energy multi-station, and
the calculation formula of the power conversion factor is as follows:
wherein j εN, j.ltoreq.n and j.noteq.i, λ ij The Zeqij is the power conversion factor between the new energy grid-connected buses i and j, and is the i row and j column elements of the equivalent impedance matrix between the new energy and the main network equivalent power supply.
According to a further aspect of the present invention there is provided a computer readable storage medium storing a computer program for performing the method according to any one of the above aspects of the present invention.
According to still another aspect of the present invention, there is provided an electronic device including: a processor; a memory for storing the processor-executable instructions; the processor is configured to read the executable instructions from the memory and execute the instructions to implement the method according to any of the above aspects of the present invention.
Therefore, the invention adjusts the new energy output of the near zone, introduces the output optimization of the unit with larger power conversion factor by considering the power conversion factor in the process, solves the problem that the single machine output optimization has limited influence on the MRSCR of the unit, and thereby obtains the new energy output extremum in the regional power grid under the constraint condition so as to achieve the aim of maximizing the benefit.
Drawings
Exemplary embodiments of the present invention may be more completely understood in consideration of the following drawings:
FIG. 1 is a flow chart of a method for determining local new energy output maxima taking into account power conversion factors according to an exemplary embodiment of the present invention;
FIG. 2 is a flow chart of a method for determining local new energy output maxima taking into account power conversion factors according to an exemplary embodiment of the present invention;
FIG. 3 is a simplified schematic diagram of an AC system for multiple new energy station access according to an exemplary embodiment of the present invention;
FIG. 4 is a schematic diagram of a device for determining a local new energy output maximum value according to an exemplary embodiment of the present invention;
fig. 5 is a structure of an electronic device provided in an exemplary embodiment of the present invention.
Detailed Description
Hereinafter, exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are only some embodiments of the present invention and not all embodiments of the present invention, and it should be understood that the present invention is not limited by the example embodiments described herein.
It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless it is specifically stated otherwise.
It will be appreciated by those of skill in the art that the terms "first," "second," etc. in embodiments of the present invention are used merely to distinguish between different steps, devices or modules, etc., and do not represent any particular technical meaning nor necessarily logical order between them.
It should also be understood that in embodiments of the present invention, "plurality" may refer to two or more, and "at least one" may refer to one, two or more.
It should also be appreciated that any component, data, or structure referred to in an embodiment of the invention may be generally understood as one or more without explicit limitation or the contrary in the context.
In addition, the term "and/or" in the present invention is merely an association relationship describing the association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist together, and B exists alone. In the present invention, the character "/" generally indicates that the front and rear related objects are an or relationship.
It should also be understood that the description of the embodiments of the present invention emphasizes the differences between the embodiments, and that the same or similar features may be referred to each other, and for brevity, will not be described in detail.
Meanwhile, it should be understood that the sizes of the respective parts shown in the drawings are not drawn in actual scale for convenience of description.
The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, the techniques, methods, and apparatus should be considered part of the specification.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.
Embodiments of the invention are operational with numerous other general purpose or special purpose computing system environments or configurations with electronic devices, such as terminal devices, computer systems, servers, etc. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with the terminal device, computer system, server, or other electronic device include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, network personal computers, minicomputer systems, mainframe computer systems, and distributed cloud computing technology environments that include any of the above systems, and the like.
Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc., that perform particular tasks or implement particular abstract data types. The computer system/server may be implemented in a distributed cloud computing environment in which tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computing system storage media including memory storage devices.
Exemplary method
Fig. 1 is a flowchart of a method for determining a local new energy output maximum value according to an exemplary embodiment of the present invention. The present embodiment may be applied to an electronic device, as shown in fig. 1, where the method 100 for obtaining the local new energy output maximum value taking into account the power conversion factor includes the following steps:
step 101, basic information of a power system is collected, and power flow rationality analysis is carried out on the power system based on the collected basic information;
Step 102, setting the output force of each new energy unit in the near zone as a decision variable, and listing an objective function corresponding to the output force of each new energy unit in the near zone;
step 103, determining that the short-circuit ratio of the new energy multi-station at the near-zone new energy machine end is greater than or equal to 1.5 as a first constraint condition;
104, determining the output P of each new energy unit in the near zone based on regional weather factors i Upper limit of output P of (2) ilim_up Lower limit of output P ilim_low Is a second constraint;
step 105, determining target constraint conditions which are to be met by the near-zone new energy output adjustment according to the first constraint condition and the second constraint condition;
step 106, determining a constraint optimization expression of the near-zone new energy output according to the objective function and the objective constraint condition as follows:
wherein P is i For the output of each new energy unit in the near zone, MRSCR i Short-circuit ratio of new energy multi-station at ith near-field new energy machine end, P ilim_up Output P for each new energy unit in near zone i Upper limit of P ilim_low Output P for each new energy unit in near zone i Lower limit of (2);
step 107, calculating the short-circuit ratio of the new energy multi-station of each new energy unit based on the constraint optimization expression of the new energy output of the near zone;
step 108, judging whether the short-circuit ratio of the new energy multi-station of each new energy unit is greater than or equal to 1.5 according to the calculated short-circuit ratio of the new energy multi-station;
Step 109, according to the result of the judgment, adjusting the output of each new energy unit according to the corresponding adjustment rule, wherein
When the judging result is that the short-circuit ratio of the new energy multi-station at the machine end of the new energy unit exists in the area is smaller than 1.5, sequencing the new energy units according to the short-circuit ratio of the new energy multi-station;
if MRSCR minimum new energy unit output P i Satisfy P i ≤P i_low Let P i ＝P i_low And the output of the unit m with the largest power conversion factor in the near-zone unit with the adjustment margin is adjusted to reduce delta P, if delta P is not reduced enough, P is reduced m ＝P m_low ；
Executing the classified output adjustment for multiple times, and re-calculating the short-circuit ratio of the new energy multi-station of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station of the unit m with the minimum short-circuit ratio of the new energy multi-station rises to a critical range MRSCR m More than or equal to 1.5, wherein MRSCR is short-circuit ratio of new energy multi-station, and
the calculation formula of the power conversion factor is as follows:
wherein j εN, j.ltoreq.n and j.noteq.i, λ ij The Zeqij is the power conversion factor between the new energy grid-connected buses i and j, and is the i row and j column elements of the equivalent impedance matrix between the new energy and the main network equivalent power supply.
Optionally, according to the result of the judgment, adjusting the output of each new energy unit according to a corresponding adjustment rule, including:
When the judging result is that the short-circuit ratio of the new energy multi-station at the machine end of all the new energy units in the area is not less than 1.5, sequencing all the new energy units according to the short-circuit ratio of the new energy multi-station;
if the new energy unit i with the largest MRSCR meets P i ＜P i_up - ΔP, let P i ＝P i_up The output adjustment is carried out for a plurality of times, the short-circuit ratio of the new energy multi-station at the machine end of each new energy machine set is recalculated after each adjustment until the short-circuit ratio of the new energy multi-station at the machine end of the new energy machine set with the minimum short-circuit ratio of the new energy multi-station is reduced to the critical range of 1.52 more than or equal to MRSCR m ≥1.5.
If the new energy unit i with the largest MRSCR does not meet P i ＜P i_up Reducing the output delta P of the unit, executing the output adjustment for a plurality of times, and recalculating the short-circuit ratio of the new energy multi-station at the machine end of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station at the m machine end of the new energy unit with the minimum short-circuit ratio of the new energy multi-station is reduced to be more than or equal to MRSCR within a critical range of 1.52 m ≥1.5；
If the initial working condition is that the new energy machine set m with the minimum short-circuit ratio of the multiple stations at the new energy machine end meets 1.52 more than or equal to MRSCR m And (5) is more than or equal to 1.5, and is directly considered as a group of maximum values.
Optionally, when the determined result is that the short-circuit ratio of the new energy multi-station at the machine end of the new energy unit is less than 1.5, after the operation of sequencing each new energy unit according to the short-circuit ratio of the new energy multi-station, the method further includes:
If MRSCR minimum new energy unit output P i Satisfy P i ＞P i_low +ΔP, decreasing the output ΔP, performing the classified output adjustment for a plurality of times, and recalculating the new energy multi-station short-circuit ratio of each new energy unit after each adjustment until the new energy multi-station short-circuit ratio of the unit m with the minimum new energy multi-station short-circuit ratio is raised to the critical range MRSCR m ≥1.5；
If MRSCR minimum new energy unit output P i Satisfy P i_low ＜P i ＜P i_low +ΔP, let P i ＝P i_low Executing the classified output adjustment for multiple times, and re-calculating the short-circuit ratio of the new energy multi-station of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station of the unit m with the minimum short-circuit ratio of the new energy multi-station rises to a critical range MRSCR m ≥1.5。
Optionally, according to the adjusted result, solving the maximum value of the sum of the output of the near-area new energy units and the corresponding new energy output distribution, including:
and obtaining a group of solutions of the objective function corresponding to the output of each new energy unit in the near zone according to the adjusted result, thereby obtaining the maximum value of the output sum of the new energy units in the near zone and the corresponding new energy output distribution.
Optionally, the basic information includes: active power value P of each new energy node in near zone i Upper limit P of output based on weather factors in the region ilim_up Lower limit of output P ilim_low Short-circuit capacity S aci And power system topology and power conversion ratioAnd impedance matrix->
Optionally, the power system is subjected to power flow rationality analysis based on the collected basic information, including:
based on the acquired basic information, checking node voltage, line power and transformer on-line and off-line power, and ensuring power flow convergence and rationality;
and if the power flow is not converged or unreasonable, readjusting the parameters of the power system.
Fig. 2 shows a simplified model of an ac system for new energy station access to which MRSCR is applicable. Referring to fig. 3, the technical scheme of the invention mainly comprises the following steps:
step 1: collecting power system information and carrying out tide rationality analysis;
step 2: determining decision variables: output P of each unit of each new energy station in near zone i And the objective function is listed
Step 3: determining constraint conditions;
step 4: and solving a set of maxima of the objective function according to the objective function and the constraint condition.
Wherein, the step 1 comprises the following steps:
step 1-1 includes: collecting power system information including active power value P of each new energy node in near zone i Upper limit P of output based on weather factors in the region i_up Short-circuit capacity S aci And power system topology and power conversion ratioImpedance matrix->Etc.
The step 1-2 comprises the following steps: and (3) calculating the power flow based on the information in the step (1-1), checking node voltage, line power and transformer on-line and off-line power, and ensuring the convergence and rationality of the power flow. And the output of each unit is required to be lower than the upper output limit P for taking weather factors of the region into consideration i_up Lower limit of unit output, P i_low ≤P i ≤P i_up . If the tide is reasonable, continuing to carry out the next step, if the tide is not converged or is unreasonable, returning to the step 1-1Readjusting the parameters of the power system;
the step 2 comprises the following steps:
setting decision variables: output P of each unit of each new energy station in near zone i Setting aside an objective function
The step 3 comprises the following steps:
step 3-1 includes: the MRSCR of the near-area new energy source machine end is more than 1.5 as a constraint condition i ≥1.5.
Step 3-2 includes: determining the upper limit P of the output of each new energy station in the near zone based on the consideration of weather factors in the region i_up And a lower limit P of the output i_low Constraint includes P i_low ≤P i ≤P i_up ；
Step 3-3 includes: according to the steps 3-1 to 3-2, the new energy output adjustment in the near zone should always meet the listed operating power constraint conditions.
The step 4 comprises the following steps:
according to the objective function and the constraint conditions listed in the step 2 and the step 3, constraint optimization expressions can be listed as follows:
The mrscs of each group were calculated and ranked by mrscs.
If the initial tide condition completely meets MRSCR i 1.5: if the output (1) of the new energy unit i with the largest MRSCR meets the requirement of P i ＜P i_up - ΔP, let P i ＝P i_up If (2) is not satisfied, the output ΔP is decreased. Recalculating MRSCR and returning to initial MRSCR i Criterion circulation of 1.5 or more until MRCR of unit m with minimum MRCR is reduced to critical range of 1.52 or more m And is more than or equal to 1.5. If the minimum MRSCR value is less than 1.5 due to the excessively large increase, the machine end MRSCR of all units can not be met i Adjusting circulation of 1.5 or moreIn the ring.
If the initial tide working condition can not meet the MRSCR of the machine ends of all the units i 1.5: MRSCR minimum energy unit output (1) is P i ＞P i_low +Δp, the output Δp is reduced; (2) if P i_low ＜P i ＜P i_low +ΔP, let P i ＝P i_low The method comprises the steps of carrying out a first treatment on the surface of the (3) If P i ≤P i_low Let P i ＝P i_low And the output of the unit m with the largest conversion factor in the near-zone unit with the adjustment margin is adjusted to reduce delta P, if delta P is not reduced enough, P is reduced m ＝P m_low . The classification output adjustment is performed a plurality of times, and the MRSCR is recalculated until the MRSCR of the unit m in which the MRSCR is minimum rises to the critical range MRSCR m ≥1.5。
Thereby obtaining a group of solutions of the constraint optimization problem, and obtaining the new energy output in the regional power grid Is an extremum of (a).
Wherein, the value of the output delta P adjusted each time can influence the algorithm performance: the smaller the delta P is, the finer the adjustment is, and the execution time of the algorithm is longer; the larger Δp, the coarser the adjustment, and the shorter the execution time of the algorithm.
In addition, the starting point of the ultra-high voltage direct current engineering (short for Shanxi and Wuhan direct current) power transmission line is a Shanxi converter station in Ulmin, shanxi province, 4 provinces of Shanxi province, henan province and Hubei province, the line length is about 1000km, the rated voltage is +/-800 kV, and the rated power is 8000MW.
The construction of the ultra-high voltage direct current transmission project of +/-800 kV of the Wuhan in Shanxi province can construct a highway for north electric south transmission, greatly improve the power for outward transmission of electric energy of coal power base, realize direct supply of electric energy of the coal power base in northwest to the load center of the middle area, and create favorable conditions for resource optimization configuration in a larger range. Meanwhile, after the ultra-high voltage direct current engineering of +/-800 kV of the Wuhan in the Shanxi province is built and put into operation, the new energy consumption range can be expanded, and the resource development and lean-free and rich-free development of the old region of the Shanxi province revolution are promoted, so that the economic health and sustainable development of the Shanxi province are promoted. The new energy of the northern Shaanxi is mainly connected to four power supply areas of the plastic, the elm, the Xiazhou and the Rockwell, wherein the new energy is connected to a centralized and non-thermal power unit to provide support in the region of the Xiazhou, the elm and the Luochuan, and the two regions are more outstanding in stability.
The power grid data is selected from a typical new energy large-generation mode in a summer of 2021, the power grid data is built in a PSASP simulation program, preliminary power flow calculation is carried out, and the power flow convergence and rationality are checked.
Collecting power system information including active power value P of each new energy node in near zone i Upper limit P of output based on weather factors in the region i_up Short-circuit capacity S aci And power system topology and power conversion ratioImpedance matrix->Etc.; can list the objective function +.>According to the operation experience of Shaanxi region, the upper limit output of the wind turbine generator is 50% of rated output, and the photovoltaic output is 80% of rated output, so that the output constraint is 0-P i ≤P ilim P in (3) ilim The method comprises the following steps:
wherein P is imax Is the rated output of the unit i.
The calculation and range of MRSCR at the other constraint condition machine end are shown in a formula (1.2).
In the output adjustment, the output variable Δp=1mw for each adjustment.
The new energy output of the power supply area accessed by the four new energy sources at the near-end area of the Shaanxi direct current engineering is shown in table 1:
TABLE 1 initial and optimized Shaan Wu DC near field New energy output distribution (Unit: wan kilowatts)
Solving constraint optimization problem according to the objective function and constraint condition to obtain Z when the output distribution is shown in the table max ＝6860MW。
Because the output variable delta P regulated each time has a larger influence on the performance of the algorithm, the algorithm execution time corresponding to different values in the scene and the finally obtained new energy output Z value are compared:
TABLE 2
The output ΔP of each adjustment Algorithm execution time New energy output Z
1MW 0.483s 6853MW
5MW 0.149s 6830MW
For this scenario, the output variable Δp=1mw per adjustment is more efficient and accurate. In the above parameter selection process, the algorithm execution time is calculated by a notebook computer based on a 16GB memory equipped with an Intel (R) Core (TM) i7-8565U CPU@1.8GHz processor.
Therefore, the application introduces the power conversion factor into the constraint optimization adjustment of the new energy output, increases the adjustment range compared with the optimization method only aiming at a single machine, can cope with more times Cheng Changjing, and realizes the aim of maximizing the economic benefit on the premise of ensuring the safe and stable operation of the power grid.
Exemplary apparatus
Fig. 4 is a schematic structural diagram of a local new energy output maximum value obtaining device according to an exemplary embodiment of the present application. As shown in fig. 4, the apparatus 400 includes:
the acquisition module 410 is configured to acquire basic information of the power system, and perform a power flow rationality analysis on the power system based on the acquired basic information;
The setting module 420 is configured to set the output of each new energy unit in the near zone as a decision variable, and list an objective function corresponding to the output of each new energy unit in the near zone;
the first determining module, 430, is configured to determine that the short-circuit ratios of the new energy multiple stations at the near-area new energy machine end are all greater than or equal to 1.5 as a first constraint condition;
a second determining module 440 for determining the output P of each new energy unit in the near zone based on the regional weather factors i Upper limit of output P of (2) ilim_up Lower limit of output P ilim_low Is a second constraint;
a third determining module 450, configured to determine, according to the first constraint condition and the second constraint condition, a target constraint condition that should be satisfied by the near-area new energy output adjustment;
the fourth determining module 460 is configured to determine, according to the objective function and the objective constraint condition, a constraint optimization expression of the near-area new energy output as follows:
wherein P is i For the output of each new energy unit in the near zone, MRSCR i Short-circuit ratio of new energy multi-station at ith near-field new energy machine end, P ilim_up New for near zoneOutput P of energy unit i Upper limit of P ilim_low Output P for each new energy unit in near zone i Lower limit of (2);
the calculation module 470 is configured to calculate a new energy multi-station short-circuit ratio of each new energy unit based on a constraint optimization expression of the near-zone new energy output;
A judging module 480, configured to judge whether the new energy multi-station short-circuit ratio of each new energy unit is greater than or equal to 1.5 according to the calculated new energy multi-station short-circuit ratio;
the adjusting module 490 is configured to adjust the output of each new energy unit according to the corresponding adjusting rule according to the determined result, where
When the judging result is that the short-circuit ratio of the new energy multi-station at the machine end of the new energy unit exists in the area is smaller than 1.5, sequencing the new energy units according to the short-circuit ratio of the new energy multi-station;
if MRSCR minimum new energy unit output P i Satisfy P i ≤P i_low Let P i ＝P i_low And the output of the unit m with the largest power conversion factor in the near-zone unit with the adjustment margin is adjusted to reduce delta P, if delta P is not reduced enough, P is reduced m ＝P m_low ；
Executing the classified output adjustment for multiple times, and re-calculating the short-circuit ratio of the new energy multi-station of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station of the unit m with the minimum short-circuit ratio of the new energy multi-station rises to a critical range MRSCR m More than or equal to 1.5, wherein MRSCR is short-circuit ratio of new energy multi-station, and
the calculation formula of the power conversion factor is as follows:
wherein j εN, j.ltoreq.n and j.noteq.i, λ ij The Zeqij is the power conversion factor between the new energy grid-connected buses i and j, and is the i row and j column elements of the equivalent impedance matrix between the new energy and the main network equivalent power supply.
Optionally, the adjustment module 490 includes:
when the judging result is that the short-circuit ratio of the new energy multi-station at the machine end of all the new energy units in the area is not less than 1.5, sequencing all the new energy units according to the short-circuit ratio of the new energy multi-station;
if the new energy unit i with the largest MRSCR meets P i ＜P i_up - ΔP, let P i ＝P i_up The output adjustment is carried out for a plurality of times, the short-circuit ratio of the new energy multi-station at the machine end of each new energy machine set is recalculated after each adjustment until the short-circuit ratio of the new energy multi-station at the machine end of the new energy machine set with the minimum short-circuit ratio of the new energy multi-station is reduced to the critical range of 1.52 more than or equal to MRSCR m ≥1.5；
If the new energy unit i with the largest MRSCR does not meet P i ＜P i_ｕｐ Reducing the output delta P of the unit, executing the output adjustment for a plurality of times, and recalculating the short-circuit ratio of the new energy multi-station at the machine end of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station at the m machine end of the new energy unit with the minimum short-circuit ratio of the new energy multi-station is reduced to be more than or equal to MRSCR within a critical range of 1.52 m ≥1.5；
If the initial working condition is that the new energy machine set m with the minimum short-circuit ratio of the multiple stations at the new energy machine end meets 1.52 more than or equal to MRSCR m And (5) is more than or equal to 1.5, and is directly considered as a group of maximum values.
Optionally, when the determined result is that the short-circuit ratio of the new energy multi-station at the machine end of the new energy unit is less than 1.5, after the operation of sequencing each new energy unit according to the short-circuit ratio of the new energy multi-station, the method further includes:
If MRSCR minimum new energy unit output P i Satisfy P i ＞P i_low +ΔP, decreasing the output ΔP, performing the classified output adjustment for a plurality of times, and recalculating the new energy multi-station short-circuit ratio of each new energy unit after each adjustment until the new energy multi-station short-circuit ratio of the unit m with the minimum new energy multi-station short-circuit ratio is raised to the critical range MRSCR m ≥1.5；
If MRSCR minimum new energy unit output P i Satisfy P i_low ＜P i ＜P i_low +ΔP, let P i ＝P i_low Executing the classified output adjustment for multiple times, and re-calculating the short-circuit ratio of the new energy multi-station of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station of the unit m with the minimum short-circuit ratio of the new energy multi-station rises to a critical range MRSCR m ≥1.5。
Optionally, according to the adjusted result, solving the maximum value of the sum of the output of the near-area new energy units and the corresponding new energy output distribution, including:
and obtaining a group of solutions of the objective function corresponding to the output of each new energy unit in the near zone according to the adjusted result, thereby obtaining the maximum value of the output sum of the new energy units in the near zone and the corresponding new energy output distribution.
Optionally, the basic information includes: active power value P of each new energy node in near zone i Upper limit P of output based on weather factors in the region ilim_up Lower limit of output P ilim_low Short-circuit capacity S aci And power system topology and power conversion ratioAnd impedance matrix->
Optionally, the power system is subjected to power flow rationality analysis based on the collected basic information, including:
based on the acquired basic information, checking node voltage, line power and transformer on-line and off-line power, and ensuring power flow convergence and rationality;
and if the power flow is not converged or unreasonable, readjusting the parameters of the power system.
Exemplary electronic device
Fig. 5 is a structure of an electronic device provided in an exemplary embodiment of the present invention. As shown in fig. 5, the electronic device 50 includes one or more processors 51 and memory 52.
The processor 51 may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.
Memory 52 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. One or more computer program instructions may be stored on the computer readable storage medium that may be executed by the processor 51 to implement the methods of the software programs of the various embodiments of the present invention described above and/or other desired functions. In one example, the electronic device may further include: an input device 53 and an output device 54, which are interconnected by a bus system and/or other forms of connection mechanisms (not shown).
In addition, the input device 53 may also include, for example, a keyboard, a mouse, and the like.
The output device 54 can output various information to the outside. The output device 54 may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, etc.
Of course, only some of the components of the electronic device that are relevant to the present invention are shown in fig. 5 for simplicity, components such as buses, input/output interfaces, etc. being omitted. In addition, the electronic device may include any other suitable components depending on the particular application.
Exemplary computer program product and computer readable storage Medium
In addition to the methods and apparatus described above, embodiments of the invention may also be a computer program product comprising computer program instructions which, when executed by a processor, cause the processor to perform steps in a method according to various embodiments of the invention described in the "exemplary methods" section of this specification.
The computer program product may write program code for performing operations of embodiments of the present invention in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present invention may also be a computer-readable storage medium, having stored thereon computer program instructions which, when executed by a processor, cause the processor to perform the steps in a method of mining history change records according to various embodiments of the present invention described in the "exemplary methods" section above in this specification.
The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The basic principles of the present invention have been described above in connection with specific embodiments, however, it should be noted that the advantages, benefits, effects, etc. mentioned in the present invention are merely examples and not intended to be limiting, and these advantages, benefits, effects, etc. are not to be considered as essential to the various embodiments of the present invention. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, as the invention is not necessarily limited to practice with the above described specific details.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different manner from other embodiments, so that the same or similar parts between the embodiments are mutually referred to. For system embodiments, the description is relatively simple as it essentially corresponds to method embodiments, and reference should be made to the description of method embodiments for relevant points.
The block diagrams of the devices, systems, apparatuses, systems according to the present invention are merely illustrative examples and are not intended to require or imply that the connections, arrangements, configurations must be made in the manner shown in the block diagrams. As will be appreciated by one of skill in the art, the devices, systems, apparatuses, systems may be connected, arranged, configured in any manner. Words such as "including," "comprising," "having," and the like are words of openness and mean "including but not limited to," and are used interchangeably therewith. The terms "or" and "as used herein refer to and are used interchangeably with the term" and/or "unless the context clearly indicates otherwise. The term "such as" as used herein refers to, and is used interchangeably with, the phrase "such as, but not limited to.
The method and system of the present invention may be implemented in a number of ways. For example, the methods and systems of the present invention may be implemented by software, hardware, firmware, or any combination of software, hardware, firmware. The above-described sequence of steps for the method is for illustration only, and the steps of the method of the present invention are not limited to the sequence specifically described above unless specifically stated otherwise. Furthermore, in some embodiments, the present invention may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present invention. Thus, the present invention also covers a recording medium storing a program for executing the method according to the present invention.
It is also noted that in the systems, devices and methods of the present invention, components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent aspects of the present invention. The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the invention. Thus, the present invention is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the invention to the form disclosed herein. Although a number of example aspects and embodiments have been discussed above, a person of ordinary skill in the art will recognize certain variations, modifications, alterations, additions, and subcombinations thereof.

Claims (10)

1. The regional new energy output maximum value solving method considering the power conversion factor is characterized by comprising the following steps of:
basic information of the power system is collected, and power flow rationality analysis is carried out on the power system based on the collected basic information;
setting the output force of each new energy unit in the near zone as a decision variable, and listing an objective function corresponding to the output force of each new energy unit in the near zone;
determining that the short-circuit ratio of the new energy multi-station at the near-zone new energy machine end is greater than or equal to 1.5 as a first constraint condition;
determining the output P of each new energy unit in the near zone based on regional weather factor consideration i Upper limit of output P of (2) ilim_up Lower limit of output P ilim_low Is a second constraint;
determining target constraint conditions which are to be met by the near-zone new energy output adjustment according to the first constraint conditions and the second constraint conditions;
according to the objective function and the objective constraint condition, determining a constraint optimization expression of the near-zone new energy output as follows:
Wherein P is i For the output of each new energy unit in the near zone, MRSCR i Short-circuit ratio of new energy multi-station at ith near-field new energy machine end, P ilim_up Output P for each new energy unit in near zone i Upper limit of P ilim_low Output P for each new energy unit in near zone i Lower limit of (2);
calculating the short-circuit ratio of the new energy multi-station of each new energy unit based on the constraint optimization expression of the new energy output of the near zone;
judging whether the short-circuit ratio of the new energy multi-station of each new energy unit is greater than or equal to 1.5 according to the calculated short-circuit ratio of the new energy multi-station;
according to the result of the judgment, the output of each new energy unit is regulated according to the corresponding regulation rule, wherein
When the judging result is that the short-circuit ratio of the new energy multi-station at the machine end of the new energy unit exists in the area is smaller than 1.5, sequencing the new energy units according to the short-circuit ratio of the new energy multi-station;
if MRSCR minimum new energy unit output P i Satisfy P i ≤P i_low Let P i ＝P i_low And the output of the unit m with the largest power conversion factor in the near-zone unit with the adjustment margin is adjusted to reduce delta P, if delta P is not reduced enough, P is reduced m ＝P m_low ；
Executing the classified output adjustment for multiple times, and re-calculating the short-circuit ratio of the new energy multi-station of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station of the unit m with the minimum short-circuit ratio of the new energy multi-station rises to a critical range MRSCR m More than or equal to 1.5, wherein MRSCR is short-circuit ratio of new energy multi-station, and
the calculation formula of the power conversion factor is as follows:
wherein j εN, j.ltoreq.n and j.noteq.i, λ ij The Zeqij is the power conversion factor between the new energy grid-connected buses i and j, and is the i row and j column elements of the equivalent impedance matrix between the new energy and the main network equivalent power supply.
2. The method of claim 1, wherein adjusting the output of each new energy unit according to the corresponding adjustment rule based on the determination result comprises:
when the judging result is that the short-circuit ratio of the new energy multi-station at the machine end of all the new energy units in the area is not less than 1.5, sequencing all the new energy units according to the short-circuit ratio of the new energy multi-station;
if the new energy unit i with the largest MRSCR meets P i ＜P i_up - ΔP, let P i ＝P i_up The output adjustment is carried out for a plurality of times, the short-circuit ratio of the new energy multi-station at the machine end of each new energy machine set is recalculated after each adjustment until the short-circuit ratio of the new energy multi-station at the machine end of the new energy machine set with the minimum short-circuit ratio of the new energy multi-station is reduced to the critical range of 1.52 more than or equal to MRSCR m ≥1.5；
If the new energy unit i with the largest MRSCR does not meet P i ＜P i_up Reducing the output delta P of the unit, executing the output adjustment for a plurality of times, and recalculating the short-circuit ratio of the new energy multi-station at the machine end of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station at the m machine end of the new energy unit with the minimum short-circuit ratio of the new energy multi-station is reduced to be more than or equal to MRSCR within a critical range of 1.52 m ≥1.5.
If the initial working condition is that the new energy machine set m with the minimum short-circuit ratio of the multiple stations at the new energy machine end meets 1.52 more than or equal to MRSCR m And (5) is more than or equal to 1.5, and is directly considered as a group of maximum values.
3. The method according to claim 1, wherein after the operation of sorting the new energy units according to the new energy multi-station short-circuit ratio when the new energy multi-station short-circuit ratio at the machine end of the new energy unit is less than 1.5 in the area as a result of the determination, the method further comprises:
if MRSCR minimum new energy unit output P i Satisfy P i ＞P i_low Reducing the output delta P, executing the classified output adjustment for a plurality of times, and recalculating the short-circuit ratio of the new energy multi-station of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station of the unit m with the minimum short-circuit ratio of the new energy multi-station is raised to a critical range MRSCRM more than or equal to 1.5;
if MRSCR minimum new energy unit output P i Satisfy P i_low ＜P i <P i_low +ΔP, let P i ＝P i_low Executing the classified output adjustment for multiple times, and re-calculating the short-circuit ratio of the new energy multi-station of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station of the unit m with the minimum short-circuit ratio of the new energy multi-station rises to a critical range MRSCR m ≥1.5。
4. The method of claim 1, wherein solving the maximum value of the sum of the output of the near-zone new energy units and the corresponding new energy output distribution according to the adjusted result comprises:
And obtaining a group of solutions of the objective function corresponding to the output of each new energy unit in the near zone according to the adjusted result, thereby obtaining the maximum value of the output sum of the new energy units in the near zone and the corresponding new energy output distribution.
5. The method of claim 1, wherein the basic information comprises: active power value P of each new energy node in near zone i Upper limit P of output based on weather factors in the region ilim_up Lower limit of output P ilim_low Short-circuit capacity S aci And power system topology and power conversion ratioAnd impedance matrix->
6. The method according to claim 1, wherein the power flow rationality analysis of the power system based on the collected basic information comprises:
based on the acquired basic information, checking node voltage, line power and transformer on-line and off-line power, and ensuring power flow convergence and rationality;
and if the power flow is not converged or unreasonable, readjusting the parameters of the power system.
7. The utility model provides a regional new energy output maximum value of taking into account power conversion factor obtains device which characterized in that includes:
the acquisition module is used for acquiring basic information of the power system and carrying out tide rationality analysis on the power system based on the acquired basic information;
The setting module is used for setting the output force of each new energy unit in the near zone as a decision variable and listing an objective function corresponding to the output force of each new energy unit in the near zone;
the first determining module is used for determining that the short-circuit ratios of the new energy multi-station at the near-zone new energy machine end are all larger than or equal to 1.5 as a first constraint condition;
a second determining module for determining the output P of each new energy unit in the near zone based on regional weather factors i Upper limit of output P of (2) ilim_up Lower limit of output P ilim_low Is a second constraint;
the third determining module is used for determining target constraint conditions which are required to be met by the near-zone new energy output adjustment according to the first constraint condition and the second constraint condition;
the fourth determining module is used for determining a constraint optimization expression of the new energy output of the near zone according to the objective function and the objective constraint condition as follows:
wherein P is i For the output of each new energy unit in the near zone, MRSCR i Short-circuit ratio of new energy multi-station at ith near-field new energy machine end, P ilim_up Output P for each new energy unit in near zone i Upper limit of P ilim_low Output P for each new energy unit in near zone i Lower limit of (2);
the calculation module is used for calculating the short-circuit ratio of the new energy multi-station of each new energy unit based on the constraint optimization expression of the new energy output of the near zone;
The judging module is used for judging whether the short-circuit ratio of the new energy multi-station of each new energy unit is greater than or equal to 1.5 according to the calculated short-circuit ratio of the new energy multi-station;
the adjusting module is used for adjusting the output of each new energy unit according to the judging result and the corresponding adjusting rule, wherein
When the judging result is that the short-circuit ratio of the new energy multi-station at the machine end of the new energy unit exists in the area is smaller than 1.5, sequencing the new energy units according to the short-circuit ratio of the new energy multi-station;
if MRSCR minimum new energy unit output P i Satisfy P i ≤P i_low Let P i ＝P i_low And the output of the unit m with the largest power conversion factor in the near-zone unit with the adjustment margin is adjusted to reduce delta P, if delta P is not reduced enough, P is reduced m ＝P m_low ；
Executing the classified output adjustment for multiple times, and re-calculating the short-circuit ratio of the new energy multi-station of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station of the unit m with the minimum short-circuit ratio of the new energy multi-station rises to a critical range MRSCR m More than or equal to 1.5, wherein MRSCR is short-circuit ratio of new energy multi-station, and
the calculation formula of the power conversion factor is as follows:
wherein j εN, j.ltoreq.n and j.noteq.i, λ ij The Zeqij is the power conversion factor between the new energy grid-connected buses i and j, and is the i row and j column elements of the equivalent impedance matrix between the new energy and the main network equivalent power supply.
8. The apparatus of claim 7, wherein the adjustment module comprises:
when the judging result is that the short-circuit ratio of the new energy multi-station at the machine end of all the new energy units in the area is not less than 1.5, sequencing all the new energy units according to the short-circuit ratio of the new energy multi-station;
if the new energy unit i with the largest MRSCR meets P i ＜P i_up - ΔP, let P i ＝P i_up The output adjustment is carried out for a plurality of times, the short-circuit ratio of the new energy multi-station at the machine end of each new energy machine set is recalculated after each adjustment until the short-circuit ratio of the new energy multi-station at the machine end of the new energy machine set with the minimum short-circuit ratio of the new energy multi-station is reduced to the critical range of 1.52 more than or equal to MRSCR m ≥1.5；
If the new energy unit i with the largest MRSCR does not meet P i ＜P i_up Reducing the output delta P of the unit, executing the output adjustment for a plurality of times, and recalculating the short-circuit ratio of the new energy multi-station at the machine end of each new energy unit after each adjustment until the short-circuit ratio of the new energy multi-station at the m machine end of the new energy unit with the minimum short-circuit ratio of the new energy multi-station is reduced to be more than or equal to MRSCR within a critical range of 1.52 m ≥1.5；
If the initial working condition is that the new energy machine set m with the minimum short-circuit ratio of the multiple stations at the new energy machine end meets 1.52 more than or equal to MRSCR m And (5) is more than or equal to 1.5, and is directly considered as a group of maximum values.
9. A computer readable storage medium, characterized in that the storage medium stores a computer program for executing the method of any of the preceding claims 1-6.
10. An electronic device, the electronic device comprising:
a processor;
a memory for storing the processor-executable instructions;
the processor is configured to read the executable instructions from the memory and execute the instructions to implement the method of any of the preceding claims 1-6.
CN202211714083.1A 2022-12-29 2022-12-29 Regional new energy output maximum value solving method considering power conversion factor Pending CN116742725A (en)

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