CN114841394A - Constraint optimization-based method and system for solving output extreme value of new energy of regional power grid - Google Patents
Constraint optimization-based method and system for solving output extreme value of new energy of regional power grid Download PDFInfo
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Abstract
The invention discloses a constraint optimization-based method and system for solving a new energy output extreme value of a regional power grid. Wherein, the method comprises the following steps: acquiring basic information of the power system, and analyzing the flow rationality of the power system based on the acquired information; taking the output of each new energy unit in the near region as a decision variable, and listing out a corresponding target function; determining a target constraint condition which should be met by the output adjustment of the new energy in the near area; and according to the target function and the target constraint condition, solving the maximum value of the sum of the output of the new energy source units in the near region and the corresponding new energy output distribution by adjusting the output level of each new energy source unit in the near region. The method can be applied to the situation that a large amount of new energy is accessed in the near-area of the transmission end of the direct-current transmission project, the output level of the new energy and the running power of the direct-current project are constrained by the transient overvoltage of the new energy in the near-area, the output of the new energy in the near-area of the transmission end can be adjusted, and the aim of maximizing the benefit is achieved on the premise of ensuring the safe and stable running of a power grid.
Description
Technical Field
The invention relates to the technical field of large-scale power grid planning and operation, in particular to a constraint optimization-based method and system for solving a new energy output extreme value of a regional power grid, a storage medium and electronic equipment.
Background
The short circuit ratio (MRSCR) of the new energy multi-field station is an index for considering the mutual influence among the multi-new energy field stations. The index considers the amplitude and the phase difference of each electric quantity between different nodes, can take the reactive influence of the new energy power generation equipment into account, and is suitable for evaluating and calculating the voltage intensity of the multi-new energy station access system in various different scenes.
The new energy multi-station short circuit ratio reflects the voltage intensity of a multi-new energy station access system and the reactive voltage supporting capacity of a power grid on a power grid side access point/station grid-connected point bus of the new energy power generation equipment. In the engineering, the ratio of the received impedance
And | U i |＝|U j The assumption is 1, and calculation is performed on the premise that this is assumed. In the observation formula (1.1)
Time-resolved MRSCR i Qualitatively, i output P of the unit i The smaller the MRSCR i The larger the output P of other new energy source units in the region j By a conversion factor lambda ij To different extents, of MRSCR i The size of (d); on the whole, the output of the regional new energy source unit is reduced, the MRSCR is increased, the larger the voltage intensity of the access system corresponding to the multiple new energy source stations is, and the larger the reactive voltage supporting capacity of the power grid on the power grid side access point bus of the new energy power generation equipment is.
In engineering, the MRSCR index has certain indication capability on the transient overvoltage level of new energy at the transmission end of a direct current transmission project, the prior art provides a concept of a critical short-circuit ratio of a new energy station and a criterion of a critical short-circuit ratio index of 1.5, an Australian power grid requires that any power generation equipment can stably operate under the system condition that the access point short-circuit ratio is 1.5, and test verification is performed for the situation. The mandatory national standard 'safety and stability of electric power system' in 2020 proposes definition of short circuit ratio of new energy multi-station. By combining the existing relevant standards at home and abroad and the performance of the actual new energy under various working conditions and disturbances, the short-circuit ratio of the multi-station at the voltage-boosting and low-voltage side of the new energy power generation unit is not less than 1.5, which is the minimum requirement required by the stable operation of equipment; the multi-station short circuit ratio of the new energy grid-connected point is a guiding index, comprehensively reflects the stable operation level of the new energy and the system strength, and is an important index for evaluating the safety and stability of the system. In the method, 1.5 is used as the MRSCR critical value index of the new energy generator unit on the voltage-boosting and low-voltage side, namely the new energy machine end.
Constrained Optimization (Constrained Optimization) is a mathematical method that finds a set of parameter values under a series of constraints to optimize a target value of a certain function or a certain set of functions. Constraint optimization is an important branch of the optimization problem with earlier research, faster development, wide application and mature method, and is widely applied to the aspects of military operations, economic analysis, operation management, engineering technology and the like. And a constraint optimization method can be adopted to realize the coordinated control of the gentle and straight engineering power and the power of the near-region power plant.
However, since a large amount of new energy is accessed in the near area of the ac system sending end in the dc transmission project, and the output level of the new energy and the operating power of the dc transmission project are constrained by the transient overvoltage of the new energy in the near area, the maximum value of the sum of the output of the new energy in the local grid constrained by the transient overvoltage of the new energy cannot be accurately given.
In order to solve the technical problem that the maximum value of the sum of the new energy output in the regional power grid restrained by the new energy transient overvoltage cannot be accurately given in the prior art, an effective solution is not provided at present.
Disclosure of Invention
The invention provides a constraint optimization-based local power grid new energy output extreme value obtaining method and system, a storage medium and electronic equipment, and aims to solve the technical problem that the maximum value of the sum of new energy output in a local power grid restrained by new energy transient overvoltage cannot be accurately given in the prior art.
According to one aspect of the invention, a method for solving a new energy output extreme value of a regional power grid based on constraint optimization is provided, and the method comprises the following steps:
acquiring basic information of the power system, and carrying out flow rationality analysis on the power system based on the acquired basic information;
setting the output of each new energy source unit in the near region as a decision variable, and listing a target function corresponding to the output of each new energy source unit in the near region;
determining a target constraint condition which should be met by the output adjustment of the new energy in the near area;
and solving the maximum value of the sum of the output of the near-region new energy unit and the corresponding new energy output distribution according to the target function and the target constraint condition.
Optionally, the basic information includes: active power value P of each new energy node in near region i The upper limit of output P based on the weather factors of the area ilim_up Lower limit P ilim_low Short circuit capacity S aci Topological structure and power conversion ratio of power system
And impedance matrix
Optionally, performing a power flow rationality analysis on the power system based on the collected basic information, including:
based on the collected basic information, node voltage, line power and transformer power of the transformer on and off the network are checked, and the convergence and rationality of the power flow are ensured;
and if the power flow is not converged or unreasonable, readjusting the parameters of the power system.
Optionally, the output of each new energy unit in the near zone is P i Then, the objective function corresponding to the output of each new energy unit in the near zone is:
optionally, determining a target constraint condition that the near-zone new energy output adjustment should meet includes:
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;
determining the output P of each new energy unit in the near region based on the consideration of regional weather factors i Upper limit of output P ilim_up Lower limit of output P ilim_low Is a second constraint;
and determining a target constraint condition which should be met by the output adjustment of the new energy in the near area according to the first constraint condition and the second constraint condition.
Optionally, solving an extreme value of the sum of outputs of the near-region new energy unit and a corresponding new energy output distribution according to the objective function and the objective constraint condition includes:
determining a constraint optimization expression of the new energy output in the near region according to the target function and the target constraint condition as follows:
in the formula, P i For the output of new energy units in the near region, MRSCR i Is the short-circuit ratio, P, of the new energy multi-field station at the ith near-zone new energy machine end ilim_up For each new energy unit in the near area, a force P is exerted i Upper limit of (B), P ilim_low The output P of each new energy source unit in the near region i The lower limit of (d);
calculating the short circuit ratio of the new energy multi-station of each new energy unit based on a constraint optimization expression of the output of the new energy in the near area;
judging whether the short-circuit ratio of the new energy multi-field station of each new energy unit is greater than or equal to 1.5 or not according to the calculated short-circuit ratio of the new energy multi-field station;
according to the judgment result, adjusting the output of each new energy unit according to the corresponding adjustment rule;
and solving the maximum value of the sum of the output of the near-region new energy unit and the corresponding new energy output distribution according to the adjusted result.
Optionally, adjusting the output of each new energy unit according to the result of the determination and the corresponding adjustment rule, including: when the judgment result is that the short circuit ratio of the new energy multi-field station at the machine end of the new energy machine set is greater than or equal to 1.5, sequencing the new energy machine sets according to the short circuit ratio of the new energy multi-field station;
starting from N new energy source units with maximum short-circuit ratio of new energy source multi-station at P ilim_low ≤P i ≤P ilim_up Output is gradually increased within the range, and the increment delta P is adjusted for each unit each time;
if a new energy unit j reaches the upper limit P jlim_up Or the output level is more than P after increasing delta P jlim_up Then make P j ＝P jlim_up Removing the new energy machine set j during the subsequent output adjustment sequencing;
the output adjustment is executed for multiple times, the new energy multi-field station short-circuit ratio of the machine end of each new energy machine set is recalculated after each adjustment until the new energy multi-field station short-circuit ratio of the machine end m of the new energy machine set with the minimum new energy multi-field station short-circuit ratio is reduced for the first time to a first critical range of 1.52 which is more than or equal to MRSCR m ≥1.5；
If the initial working condition is adopted, the new energy machine set m with the minimum short-circuit ratio of the new energy machine end multi-field station meets the condition that the short-circuit ratio of 1.52 is more than or equal to MRSCR m And if the maximum value is more than or equal to 1.5, directly identifying the maximum value as a group of maximum values.
Optionally, adjusting the output of each new energy unit according to the result of the determination and the corresponding adjustment rule, including:
when the judgment result shows that the short circuit ratio of the new energy multi-field station at the machine end of the new energy unit is less than 1.5, sequencing the new energy units according to the short circuit ratio of the new energy multi-field station;
starting from N new energy source units with minimum short-circuit ratio of new energy source multi-station at P ilim_low ≤P i ≤P ilim_up Within the range, the output is gradually reduced, and the delta P is reduced by adjusting each unit each time;
if a new energy source unit j reaches the lower limit P jlim_low Or the output level is less than P after reducing delta P jlim_low Then make P j ＝P jlim_low Removing the new energy machine set j during the subsequent output adjustment sequencing;
the output adjustment is executed for multiple times, the new energy multi-field station short circuit ratio of each new energy unit is recalculated after each adjustment until the new energy multi-field station short circuit ratio of the new energy unit m with the minimum new energy multi-field station short circuit ratio is increased for the first time to a first critical range of 1.52 which is more than or equal to MRSCR m ≥1.5。
Optionally, according to the adjusted result, solving a maximum value of the sum of outputs of the near-region new energy unit and a corresponding new energy output distribution, including:
and obtaining a group of solutions of the target function corresponding to the output of each new energy source unit in the near region according to the adjusted result, thereby obtaining the maximum value of the output sum of the new energy source units in the near region and the corresponding new energy output distribution.
According to another aspect of the invention, a system for solving the extreme value of new energy output of a regional power grid based on constraint optimization is provided, which includes:
the information acquisition module is used for acquiring basic information of the power system and carrying out flow rationality analysis on the power system based on the acquired basic information;
the target function determining module is used for setting the output of each new energy source unit in the near region as a decision variable and listing a target function corresponding to the output of each new energy source unit in the near region;
the constraint condition determining module is used for determining a target constraint condition which should be met by the output adjustment of the new energy in the near area;
and the extreme value solving module is used for solving the maximum value of the sum of the outputs of the new energy source units in the near region and the corresponding new energy output distribution by adjusting the outputs of the new energy source units in the near region according to the target function and the target constraint condition.
According to a further aspect of the invention, there is provided a computer readable storage medium having stored thereon a computer program for executing the method of any of the above aspects of the invention.
According to still another aspect of the present invention, there is provided an electronic apparatus 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 one of the above aspects of the present invention.
Therefore, the method and the system for obtaining the extreme value of the output of the new energy of the regional power grid based on constraint optimization firstly collect basic information of a power system, carry out flow rationality analysis on the power system based on the collected basic information, then set the output of each new energy unit in a near area as a decision variable, list a target function corresponding to the output of each new energy unit in the near area, secondly determine a target constraint condition which should be met by the adjustment of the output of the new energy unit in the near area, and finally solve the maximum value of the sum of the outputs of the new energy units in the near area and the corresponding output distribution of the new energy according to the target function and the target constraint condition. Therefore, the method can be applied to the condition that a large amount of new energy is accessed in the near area of the sending end of the alternating current system of the direct current transmission project, and the output level of the new energy and the running power of the direct current project are constrained by the transient overvoltage of the new energy in the near area, and the output of the new energy in the near area is adjusted by taking the MRSCR of the new energy machine end in the near area is more than 1.5 and taking the upper and lower output limits of the regional weather factors as constraint conditions, so that the maximum output value of the new energy in the power grid in the area and the corresponding output distribution of the new energy are obtained, and the aim of maximizing the benefit is achieved on the premise of ensuring the safe and stable running of the power grid.
Drawings
A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
fig. 1 is a schematic flowchart of a method for obtaining an extreme value of new energy output of a regional power grid based on constraint optimization according to an exemplary embodiment of the present invention;
fig. 2 is an overall flowchart of a process for obtaining an extreme value of new energy output of a regional power grid based on constraint optimization according to an exemplary embodiment of the present invention;
fig. 3 is a schematic structural diagram of a constraint optimization-based local grid new energy output extremum solving system according to an exemplary embodiment of the present invention; and
fig. 4 is a structure of an electronic device according to an exemplary embodiment of the present invention.
Detailed Description
Hereinafter, example embodiments according to the present invention will be described in detail with reference to the accompanying drawings. It is to be understood that the described embodiments are merely a subset of embodiments of the invention and not all embodiments of the invention, with the understanding that the invention is not limited to the example embodiments described herein.
It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
It will be understood by those of skill in the art that the terms "first," "second," and the like in the embodiments of the present invention are used merely to distinguish one element, step, device, module, or the like from another element, and do not denote any particular technical or logical order therebetween.
It should also be understood that in embodiments of the present invention, "a plurality" may refer to two or more and "at least one" may refer to one, two or more.
It is also to be understood that any reference to any component, data, or structure in the embodiments of the invention may be generally understood as one or more, unless explicitly defined otherwise or stated to the contrary hereinafter.
In addition, the term "and/or" in the present invention is only one kind of association relationship describing the associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" in the present invention generally indicates that the preceding and succeeding related objects are in 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 the same or similar parts may be referred to each other, so that the descriptions thereof are omitted for brevity.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Embodiments of the invention are operational with numerous other general purpose or special purpose computing system environments or configurations, and with numerous other 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 electronic devices, such as terminal devices, computer systems, servers, and the like, 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 pcs, minicomputer systems, mainframe computer systems, distributed cloud computing 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 practiced in distributed cloud computing environments where 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 computer system storage media including memory storage devices.
Exemplary method
Fig. 1 is a schematic flowchart of a method for obtaining an extreme value of new energy output of a regional power grid based on constraint optimization according to an exemplary embodiment of the present invention. The embodiment can be applied to an electronic device, and as shown in fig. 1, the method 100 for obtaining an extreme value of new energy output of a regional power grid based on constraint optimization includes the following steps:
Optionally, the basic information includes: active power value P of each new energy node in near region i The upper limit of output P based on the weather factors of the area ilim_up Lower limit of output P ilim_low Short circuit capacity S aci Topological structure and power conversion ratio of power system
And impedance matrix
Optionally, performing a power flow rationality analysis on the power system based on the collected basic information, including: based on the acquired basic information, node voltage, line power and transformer power of the upper network and the lower network are checked, and power flow convergence and reasonability are ensured; and if the power flow is not converged or unreasonable, readjusting the parameters of the power system.
In an embodiment of the present invention, step 101 includes the following steps:
step 101-1: collecting power system information, including collecting active power value P of each new energy node in the near area i The upper limit of output P based on the weather factors of the area ilim_up Lower limit of output P ilim_low Short circuit capacity S aci Topological structure and power conversion ratio of power system
Impedance matrix
And so on.
Step 101-2: and calculating the power flow of the power system based on the information in the step 101-1, and checking the node voltage, the line power and the power of the transformer on/off the network to ensure the convergence and rationality of the power flow. And the output of each station is required to be lower than the upper limit P of the output considering the weather factors of the area ilim_up Higher than lower limit of output P ilim_low ，P ilim_low ≤P i ≤P ilim_up . If the power flow is reasonable, continuing to perform the next step, and if the power flow is not converged or unreasonable, returning to the step 101-1 to readjust the parameters of the power system.
And 102, setting the output of each new energy unit in the near region as a decision variable, and listing a target function corresponding to the output of each new energy unit in the near region.
Optionally, the output of each new energy unit in the near zone is P i Then, the objective function corresponding to the output of each new energy unit in the near zone is:
and 103, determining a target constraint condition which should be met by the output adjustment of the new energy in the near area.
Optionally, determining a target constraint condition that the near-zone new energy output adjustment should meet includes: 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; determining the output P of each new energy unit in the near region based on the consideration of regional weather factors i Upper limit of output P ilim_up Lower limit of output P ilim_low Is a second constraint; and determining a target constraint condition which should be met by the output adjustment of the new energy in the near area according to the first constraint condition and the second constraint condition.
In an embodiment of the present invention, step 103 comprises the following steps:
step 103-1: the new energy multi-station short circuit ratio (MRSCR) at the near-zone new energy machine end is more than or equal to 1.5, and the MRSCR is taken as a constraint condition i ≥1.5；
Step 103-2: determining the upper limit P of the output of each new energy unit in the near area based on the weather factor of the area ilim_up Lower limit of output P ilim_low ，P ilim_low ≤P i ≤P ilim_up ；
Step 103-3: and according to the steps 103-1-103-2, determining that the output adjustment of the new energy in the near area always meets the listed operation power constraint conditions.
And 104, solving the maximum value of the sum of the output of the new energy unit in the near area and the corresponding new energy output distribution according to the target function and the target constraint condition.
Optionally, solving a maximum value of the sum of outputs of the near-region new energy unit and a corresponding new energy output distribution according to the target function and the target constraint condition, including: determining a constraint optimization expression of the new energy output in the near region according to the target function and the target constraint condition as follows:
in the formula, P i For the output of new energy units in the near region, MRSCR i Is the ithShort circuit ratio of new energy multi-field station at near-region new energy machine end, P ilim_up The output P of each new energy source unit in the near region i Upper limit of (B), P ilim_low The output P of each new energy source unit in the near region i The lower limit of (d);
calculating the short circuit ratio of the new energy multi-station of each new energy unit based on a constraint optimization expression of the output of the new energy in the near region; judging whether the short-circuit ratio of the new energy multi-field station at the machine end of each new energy unit is greater than or equal to 1.5 or not according to the calculated short-circuit ratio of the new energy multi-field station; according to the judgment result, adjusting the output of each new energy unit according to the corresponding adjustment rule; and solving the extreme value of the new energy output in the near area according to the adjusted result.
Optionally, adjusting the output of each new energy unit according to the result of the determination and the corresponding adjustment rule, including: when the judgment result is that the short circuit ratio of the new energy multi-field station at the machine end of the new energy machine set is greater than or equal to 1.5, sequencing the new energy machine sets according to the short circuit ratio of the new energy multi-field station; starting from N new energy source units with maximum short-circuit ratio of new energy source multi-station at P ilim_low ≤P i ≤P ilim_up Output is gradually increased within the range, and the increment delta P is adjusted for each unit each time; if a new energy unit j reaches the upper limit P jlim_up Or the output level is more than P after increasing delta P jlim_up Then make P j ＝P jlim_up Removing the new energy machine set j during the subsequent output adjustment sequencing; the output adjustment is executed for multiple times, the new energy multi-field station short-circuit ratio of the machine end of each new energy machine set is recalculated after each adjustment until the new energy multi-field station short-circuit ratio of the machine end m of the new energy machine set with the minimum new energy multi-field station short-circuit ratio is reduced for the first time to a first critical range of 1.52 which is more than or equal to MRSCR m Not less than 1.5; if the initial working condition is adopted, the new energy machine set m with the minimum short-circuit ratio of the new energy machine end multi-field station meets the condition that the short-circuit ratio of 1.52 is more than or equal to MRSCR m And if the maximum value is more than or equal to 1.5, directly identifying the maximum value as a group of maximum values.
Optionally, adjusting the output of each new energy unit according to the result of the determination and the corresponding adjustment rule, including: the short circuit ratio of the new energy multi-field station at the machine end of the new energy unit in the near region is small as a judged resultAt 1.5, sequencing the new energy units according to the short circuit ratio of the new energy multi-field station; starting from N new energy source units with minimum short-circuit ratio of new energy source multi-station at P ilim_low ≤P i ≤P ilim_up Within the range, the output is gradually reduced, and the delta P is reduced by adjusting each unit each time; if a new energy source unit j reaches the lower limit P jlim_low Or the output level is less than P after reducing delta P jlim_low Then make P j ＝P jlim_low Removing the new energy machine set j during the subsequent output adjustment sequencing; the output adjustment is executed for multiple times, the new energy multi-field station short circuit ratio of each new energy unit is recalculated after each adjustment until the new energy multi-field station short circuit ratio of the new energy unit m with the minimum new energy multi-field station short circuit ratio is increased for the first time to a first critical range of 1.52 which is more than or equal to MRSCR m ≥1.5。
Optionally, according to the adjusted result, solving a maximum value of the sum of outputs of the near-region new energy unit and a corresponding new energy output distribution, including: and obtaining a group of solutions of the target function corresponding to the output of each new energy source unit in the near region according to the adjusted result, thereby obtaining the maximum value of the output sum of the new energy source units in the near region and the corresponding new energy output distribution.
In an embodiment of the present invention, referring to fig. 2, step 104 includes the following steps:
step 104-1: according to the objective function and the constraint conditions listed in step 102 and step 103, a constraint optimization expression can be listed as follows:
in the formula, P i For the output of new energy units in the near region, MRSCR i Is the short-circuit ratio, P, of the new energy multi-field station at the ith near-zone new energy machine end ilim_up The output P of each new energy source unit in the near region i Upper limit of (B), P ilim_low The output P of each new energy source unit in the near region i The lower limit of (3).
Step 104-2: and calculating the short circuit ratio (MRSCR) of the new energy multi-station at the machine end of each new energy unit.
Step 104-3: if the initial tide working condition completely meets MRSCR i Not less than 1.5, according to MRSCR sequence. Starting from N new energy source units with maximum short-circuit ratio of new energy source multi-station at P ilim_low ≤P i ≤P ilim_up Gradually increasing output within the range, adjusting the increase delta P of each unit each time, and if a new energy unit j reaches the upper limit P jlim_up Or the output level is more than P after increasing delta P jlim_up Then make P j ＝P jlim_up Removing the new energy machine set j during the subsequent output adjustment sequencing; the output adjustment is executed for multiple times, the short circuit ratio of the new energy source multi-field station at the machine end of each new energy source unit is recalculated after each adjustment until the short circuit ratio of the new energy source multi-field station at the machine end of the new energy source unit m with the minimum short circuit ratio of the new energy source multi-field station is firstly reduced to a first critical range of 1.52 which is more than or equal to MRSCR m Not less than 1.5; if the initial working condition is adopted, the new energy machine set m with the minimum short-circuit ratio of the new energy machine end multi-field station meets the condition that the short-circuit ratio of 1.52 is more than or equal to MRSCR m And if the maximum value is more than or equal to 1.5, directly identifying the maximum value as a group of maximum values.
Step 104-4: if the initial tide working condition can not completely meet the MRSCR i Not less than 1.5, sorting according to MRSCR; starting from N new energy source units with minimum short-circuit ratio of new energy source multi-station at P ilim_low ≤P i ≤P ilim_up Within the range, the output is gradually reduced, delta P is reduced by adjusting each unit every time, if a new energy source unit j reaches a lower limit P jlim_low Or the output level is less than P after reducing delta P jlim_low Then make P j ＝P jlim_low Removing the new energy machine set j during the subsequent output adjustment sequencing; the output adjustment is executed for multiple times, the new energy multi-field station short circuit ratio of each new energy unit is recalculated after each adjustment until the new energy multi-field station short circuit ratio of the new energy unit m with the minimum new energy multi-field station short circuit ratio is increased for the first time to a first critical range of 1.52 which is more than or equal to MRSCR m ≥1.5。
Step 104-5: obtaining a group of solutions of the constraint optimization problem according to the steps 104-3 and 104-4 to obtain the output of the new energy in the regional power grid
Is measured.
The number N of stations adjusted each time and the output delta P adjusted each time have influence on the performance of the algorithm: the smaller N and delta P are, the finer the adjustment is, and the longer the execution time of the algorithm is; the smaller N and Δ P, the coarser the adjustment, and the shorter the execution time of the algorithm.
A preferred embodiment of the invention in particular applies:
the starting point of a power transmission line of Shanxi-Wuhan extra-high voltage direct current engineering (Shaanwu direct current for short) is a converter station in Shaanxi of elm forest city in Shaanxi province, and the power transmission line passes through the converter station in Shaanxi, Shanxi, Henan and Hubei of 4 provinces, and is located in Wuhan province, wherein the length of the line is about 1000kin, the rated voltage is +/-800 kV, and the rated power is 8000 MW.
The construction of the Shaanxi-Wuhan +/-800 kV extra-high voltage direct current transmission project constructs a 'north electric south transmission' high-speed path, greatly improves the electric energy delivery capacity of the coal electric base, realizes that the electric energy of the northwest coal electric base is directly supplied to the load center of the middle area, and creates favorable conditions for resource optimization allocation in a larger range. Meanwhile, after the building and the operation of the northern Shaanxi-Wuhan +/-800 kV extra-high voltage direct current project, the new energy consumption range can be expanded, the resource development and the depletion and enrichment of the revolutionary old area in the northern Shaanxi are promoted, and the economic and healthy sustainable development in the northern Shaanxi area is realized. The new energy in northern Shaanxi is mainly accessed to four power supply areas of Shu, Yu Bang, Xia and Luochuan, wherein the new energy in the Xia Bang and Yu Bang Bao provinces is accessed and concentrated, and does not have a thermal power unit to provide support, and the two areas have more outstanding stability problems.
And a typical new energy mass-generation mode of a certain day in summer in 2020 is selected for the power grid data, the power grid data is set up in a PSASP simulation program, preliminary power flow calculation is carried out, and the convergence and the rationality of the power flow are checked.
Collecting power system information including active power value P of each new energy node in near region i The upper limit of output P based on the weather factors of the area ilim_up Lower limit of output P ilim_low Short circuit capacity S aci Topological structure and power conversion ratio of power system
Impedance matrix
Etc.; the objective function can be listed
According to the operation experience of Shaanxi region, the upper limit output of the wind turbine generator is 50% of rated output, the photovoltaic output is 80% of rated output, and then the output constraint P can be determined ilim_low ≤P i ≤P ilim_up The method comprises the following steps:
when the new energy unit i is photovoltaic:
P ilim_up ＝80％·P imax
P ilim_low ＝0
when the new energy unit i is a fan:
P ilim_up ＝50％·P imax
P ilimulow ＝0
the calculation and range of MRSCR at the end of another constraint condition is as follows:
in the output adjustment, the number N of units adjusted each time is 5, and the output variable Δ P adjusted each time is 1 MW.
The output of the new energy of the power supply region accessed by four new energy of the near region of the sending end of the Shanwu direct current project is shown in Table 1:
TABLE 1 initial and optimized Shaanwu DC delivery end near-region new energy output distribution (unit: ten thousand kilowatts)
Solving the constraint optimization problem according to the objective function and the constraint condition to obtain Z when the output distribution is shown as the table max ＝6860MW。
Because the number N of the units adjusted each time and the output variable Δ P adjusted each time have a large influence on the performance of the algorithm, the algorithm execution times corresponding to different values under the scene and the finally obtained new energy output Z value are compared, as shown in table 2 below:
table 2 algorithm execution times corresponding to different values under the scene and finally obtained new energy output Z value
Aiming at the scene, the number N of stations adjusted each time is selected to be 5, and the output variable delta P adjusted each time is 1MW, so that the method is efficient and accurate. Since the total number of the new energy source units in the region is 232 in the scene, it can be known that the algorithm performance obtained when the numerical value of N is selected to be about 2% of the total number of the new energy source units in the region is more efficient and accurate.
In the parameter selection process, the algorithm execution time is calculated based on a notebook computer provided with an Intel (R) core (TM) i 7-8565U CPU @1.8GHz processor and a 16GB memory.
Therefore, according to the method for obtaining the extreme value of the output of the new energy of the regional power grid based on constraint optimization, provided by the invention, the basic information of the power system is firstly collected, the power flow rationality analysis is carried out on the power system based on the collected basic information, then the output of each new energy unit in the near region is set as a decision variable, a target function corresponding to the output of each new energy unit in the near region is listed, a target constraint condition which should be met by the adjustment of the output of the new energy unit in the near region is determined, and finally the maximum value of the sum of the outputs of each new energy unit in the near region and the corresponding output distribution of the new energy are solved according to the target function and the target constraint condition. Therefore, the method can be applied to the condition that a large amount of new energy is accessed in the near area of the sending end of the alternating current system of the direct current transmission project, the output level of the new energy and the running power of the direct current project are constrained by the transient overvoltage of the new energy in the near area, the output of the new energy in the near area is adjusted under the constraint conditions that the MRSCR of the new energy in the near area is more than 1.5 and the upper and lower output limits of the weather factors of the area are taken into consideration, so that the maximum output value of the new energy in the power grid of the area is obtained, and the aim of maximizing the benefit is fulfilled on the premise of ensuring the safe and stable running of the power grid.
Exemplary System
Fig. 3 is a schematic structural diagram of a constraint optimization-based local grid new energy output extremum solving system according to an exemplary embodiment of the present invention. As shown in fig. 3, the system 300 includes:
the information acquisition module 310 is used for acquiring basic information of the power system and performing flow rationality analysis on the power system based on the acquired basic information;
the objective function determining module 320 is configured to set the output of each new energy source unit in the near region as a decision variable, and list an objective function corresponding to the output of each new energy source unit in the near region;
a constraint condition determining module 330, configured to determine a target constraint condition that should be met by the near-area new energy output adjustment;
and the extreme value solving module 340 is configured to solve the maximum value of the sum of the outputs of the near-region new energy units and the corresponding new energy output distribution according to the target function and the target constraint condition.
Optionally, the basic information includes: active power value P of each new energy node in near region i The upper limit of output P based on the weather factors of the area ilim_up Lower limit of output P ilim_low Short circuit capacity S aci Topological structure and power conversion ratio of power system
And impedance matrix
Optionally, the information collecting module 310 is specifically configured to:
based on the collected basic information, node voltage, line power and transformer power of the transformer on and off the network are checked, and the convergence and rationality of the power flow are ensured;
if the power flow is not converged or unreasonable, the parameters of the power system are readjusted.
Optionally, the new energy units in the near zone have output ofP i Then, the objective function corresponding to the output of each new energy unit in the near zone is:
optionally, the constraint condition determining module 330 is specifically configured to:
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;
determining the output P of each new energy unit in the near region based on the consideration of regional weather factors i Upper limit of output P ilim_up Lower limit of output P ilim_low Is a second constraint;
and determining a target constraint condition which should be met by the output adjustment of the new energy in the near area according to the first constraint condition and the second constraint condition.
Optionally, the extremum solving module 340 is specifically configured to:
determining a constraint optimization expression of the new energy output in the near region according to the target function and the target constraint condition as follows:
in the formula, P i For the output of new energy units in the near region, MRSCR i Is the short-circuit ratio, P, of the new energy multi-field station at the ith near-zone new energy machine end ilim_up The output P of each new energy source unit in the near region i Upper limit of (B), P ilim_low The output P of each new energy source unit in the near region i The lower limit of (d);
calculating the short circuit ratio of the new energy multi-station at the machine end of each new energy unit based on a constraint optimization expression of the output of the new energy in the near region;
judging whether the short-circuit ratio of the new energy multi-field station at the machine end of each new energy unit is greater than or equal to 1.5 or not according to the calculated short-circuit ratio of the new energy multi-field station;
according to the judgment result, adjusting the output of each new energy unit according to the corresponding adjustment rule;
and solving the maximum value of the output of each new energy unit in the near region according to the adjusted result.
Optionally, the extremum solving module 340 is further specifically configured to:
when the judgment result is that the short circuit ratio of the new energy multi-field station of the new energy unit is greater than or equal to 1.5, sequencing the new energy units according to the short circuit ratio of the new energy multi-field station;
starting from N new energy source units with maximum short-circuit ratio of new energy source multi-station at P ilim_low ≤P i ≤P ilim_up Output is gradually increased within the range, and the increment delta P is adjusted for each unit each time;
if a new energy unit j reaches the upper limit P jlim_up Or the output level is more than P after increasing delta P jlim_up Then make P j ＝P jlim_up Removing the new energy machine set j during the subsequent output adjustment sequencing;
the output adjustment is executed for multiple times, the short circuit ratio of the new energy source multi-field station at the machine end of each new energy source unit is recalculated after each adjustment until the short circuit ratio of the new energy source multi-field station at the machine end of the new energy source unit m with the minimum short circuit ratio of the new energy source multi-field station is firstly reduced to a first critical range of 1.52 which is more than or equal to MRSCR m ≥1.5；
If the initial working condition is adopted, the new energy machine set m with the minimum short-circuit ratio of the new energy machine end multi-field station meets the condition that the short-circuit ratio of 1.52 is more than or equal to MRSCR m And if the maximum value is more than or equal to 1.5, directly identifying the maximum value as a group of maximum values.
Optionally, the extremum solving module 340 is further specifically configured to:
when the judgment result is that the machine-end new energy multi-field-station short-circuit ratio of the new energy unit is less than 1.5, sequencing the new energy units according to the new energy multi-field-station short-circuit ratio;
starting from N new energy source units with minimum short-circuit ratio of new energy source multi-station at P ilim_low ≤P i ≤P ilim_up Within the range, the output is gradually reduced, and the delta P is reduced by adjusting each unit each time;
if a new energy source unit j reaches the lower limit P jlim_low Or the output level is less than P after reducing delta P jlim_low Then make P j ＝P jlim_low Subsequent elimination of force adjustment sequencingA new energy unit j;
the output adjustment is executed for multiple times, the new energy multi-field station short circuit ratio of each new energy unit is recalculated after each adjustment until the new energy multi-field station short circuit ratio of the new energy unit m with the minimum new energy multi-field station short circuit ratio is increased for the first time to a first critical range of 1.52 which is more than or equal to MRSCR m ≥1.5。
Optionally, the extremum solving module 340 is further specifically configured to:
and obtaining a group of solutions of the target function corresponding to the output of each new energy machine group in the near region according to the adjusted result, thereby obtaining the maximum value of the output of each new energy machine group in the near region and the corresponding new energy output distribution.
The system 300 for obtaining the extreme value of the new energy output of the regional power grid based on constraint optimization according to the embodiment of the present invention corresponds to the method 100 for obtaining the extreme value of the new energy output of the regional power grid based on constraint optimization according to another embodiment of the present invention, and is not described herein again.
Exemplary electronic device
Fig. 4 is a structure of an electronic device according to an exemplary embodiment of the present invention. The electronic device may be either or both of the first device and the second device, or a stand-alone device separate from them, which stand-alone device may communicate with the first device and the second device to receive the acquired input signals therefrom. FIG. 4 illustrates a block diagram of an electronic device in accordance with an embodiment of the present invention. As shown in fig. 4, electronic device 40 includes one or more processors 41 and memory 42.
The processor 41 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.
The input system 43 may also include, for example, a keyboard, a mouse, and the like.
The output system 44 can output various kinds of information to the outside. The output devices 44 may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, among others.
Of course, for simplicity, only some of the components of the electronic device that are relevant to the present invention are shown in fig. 4, omitting components such as buses, input/output interfaces, and the like. 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 above-described methods and apparatus, embodiments of the present invention may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the method of information mining of historical change records according to various embodiments of the present invention described in the "exemplary methods" section above of this specification.
The computer program product may write program code for carrying out operations for 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 and 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 the method of information mining of historical change records according to various embodiments of the present invention described in the "exemplary methods" section above of this specification.
The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc 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 with reference to specific embodiments, but it should be noted that the advantages, effects, etc. mentioned in the present invention are only examples and are not limiting, and the advantages, effects, etc. must not be considered to be possessed by various embodiments of the present invention. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the invention is not limited to the specific details described above.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The block diagrams of devices, systems, apparatuses, and systems involved in the present invention are merely illustrative examples and are not intended to require or imply that the devices, systems, apparatuses, and systems must be connected, arranged, or configured in the manner shown in the block diagrams. These devices, systems, apparatuses, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, 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 in software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustrative purposes only, and the steps of the method of the present invention are not limited to the order specifically described above unless specifically indicated otherwise. Furthermore, in some embodiments, the present invention may also be embodied as a program recorded in a recording medium, the program including machine-readable instructions for implementing a method 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 should also be noted that in the systems, apparatus and methods of the present invention, the various components or steps may be broken down and/or re-combined. These decompositions and/or recombinations are to be regarded as equivalents 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, the description is not intended to limit embodiments of the invention to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.
Claims (12)
1. A method for solving a new energy output extreme value of a regional power grid based on constraint optimization is characterized by comprising the following steps:
acquiring basic information of the power system, and carrying out flow rationality analysis on the power system based on the acquired basic information;
setting the output of each new energy source unit in the near region as a decision variable, and listing a target function corresponding to the output of each new energy source unit in the near region;
determining a target constraint condition which should be met by the output adjustment of the new energy in the near area;
and solving the maximum value of the sum of the output of the near-region new energy unit and the corresponding new energy output distribution according to the target function and the target constraint condition.
2. The method of claim 1, wherein the basic information comprises: active power value P of each new energy node in near region i The upper limit of output P based on the weather factors of the area ilim_up Lower limit of output P ilim_low Short circuit capacity S aci Topological structure and power conversion ratio of power system
And impedance matrix
3. The method of claim 1, wherein performing a flow rationality analysis on the power system based on the collected basic information comprises:
based on the collected basic information, node voltage, line power and transformer power of the transformer on and off the network are checked, and the convergence and rationality of the power flow are ensured;
and if the power flow is not converged or unreasonable, readjusting the parameters of the power system.
4. The method of claim 1, wherein the near zone new energy cluster output is P i Then, the objective function corresponding to the output of the new energy unit in the near zone is:
5. the method of claim 4, wherein determining a target constraint that the near zone new energy output adjustment should satisfy comprises:
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;
determining the output P of each new energy unit in the near region based on the consideration of regional weather factors i Upper limit of output P ilim_up Lower limit of output P ilim_low Is a second constraint;
and determining a target constraint condition which should be met by the output adjustment of the new energy in the near area according to the first constraint condition and the second constraint condition.
6. The method of claim 5, wherein solving the maximum of the sum of outputs of the near-field new energy group and the corresponding new energy output distribution according to the objective function and the objective constraint includes:
determining a constraint optimization expression of the new energy output in the near region according to the target function and the target constraint condition as follows:
in the formula, P i For the output of new energy units in the near region, MRSCR i Is the short-circuit ratio, P, of the new energy multi-field station at the ith near-zone new energy machine end ilim_up The output P of each new energy source unit in the near region i Upper limit of (B), P ilim_low The output P of each new energy source unit in the near region i The lower limit of (c);
calculating the short circuit ratio of the new energy multi-station of each new energy unit based on a constraint optimization expression of the output of the new energy in the near region;
judging whether the short-circuit ratio of the new energy multi-field station of each new energy unit is greater than or equal to 1.5 or not according to the calculated short-circuit ratio of the new energy multi-field station;
according to the judgment result, adjusting the output of each new energy unit according to the corresponding adjustment rule;
and solving the maximum value of the sum of the output of the near-region new energy unit and the corresponding new energy output distribution according to the adjusted result.
7. The method of claim 6, wherein adjusting the output of each new energy bank according to the corresponding adjustment rules based on the determination comprises:
when the judgment result is that the short circuit ratio of the new energy multi-field station at the machine end of the new energy machine set is greater than or equal to 1.5, sequencing the new energy machine sets according to the short circuit ratio of the new energy multi-field station;
starting from N new energy source units with maximum short-circuit ratio of new energy source multi-station at P ilim_low ≤P i ≤P ilim_up Output is gradually increased within the range, and the increment delta P is adjusted for each unit each time;
if a new energy unit j reaches the upper limit P jlim_up Or the output level is more than P after increasing delta P jlim_up Then make P j ＝P jlim_up Removing the new energy machine set j during the subsequent output adjustment sequencing;
multiple executionOutput adjustment is carried out, the new energy multi-field station short-circuit ratio of the machine end of each new energy unit is recalculated after each adjustment until the new energy multi-field station short-circuit ratio of the m machine end of the new energy unit with the minimum new energy multi-field station short-circuit ratio is firstly reduced to a first critical range of 1.52. gtoreq.MRSCR m ≥1.5；
If the initial working condition is adopted, the new energy machine set m with the minimum short-circuit ratio of the new energy machine end multi-field station meets the condition that the short-circuit ratio of 1.52 is more than or equal to MRSCR m And if the maximum value is more than or equal to 1.5, directly identifying the maximum value as a group of maximum values.
8. The method of claim 7, wherein adjusting the output of each new energy bank according to the corresponding adjustment rules based on the determination comprises:
when the judgment result shows that the short circuit ratio of the new energy multi-field station at the machine end of the new energy unit is less than 1.5, sequencing the new energy units according to the short circuit ratio of the new energy multi-field station;
starting from N new energy source units with minimum short-circuit ratio of new energy source multi-station at P ilim_low ≤P i ≤P ilim_up Within the range, the output is gradually reduced, and the delta P is reduced by adjusting each unit each time;
if a new energy source unit j reaches the lower limit P jlim_low Or the output level is less than P after reducing delta P jlim_low Then make P j ＝P jlim_low Removing the new energy machine set j during the subsequent output adjustment sequencing;
the output adjustment is executed for multiple times, the new energy multi-field station short circuit ratio of each new energy unit is recalculated after each adjustment until the new energy multi-field station short circuit ratio of the new energy unit m with the minimum new energy multi-field station short circuit ratio is increased for the first time to a first critical range of 1.52 which is more than or equal to MRSCR m ≥1.5。
9. The method of claim 8, wherein solving for the maximum of the sum of outputs of the near-field new energy fleet and the corresponding new energy output distribution based on the adjusted results comprises:
and obtaining a group of solutions of the target function corresponding to the output of each new energy source unit in the near region according to the adjusted result, thereby obtaining the maximum value of the output sum of the new energy source units in the near region and the corresponding new energy output distribution.
10. The utility model provides a regional electric wire netting new forms of energy output extreme value system of asking for based on restraint optimization which characterized in that includes:
the information acquisition module is used for acquiring basic information of the power system and carrying out flow rationality analysis on the power system based on the acquired basic information;
the target function determining module is used for setting the output of each new energy source unit in the near region as a decision variable and listing a target function corresponding to the output of each new energy source unit in the near region;
the constraint condition determining module is used for determining a target constraint condition which should be met by the output adjustment of the new energy in the near area;
and the extreme value solving module is used for solving the maximum value of the sum of the output of the near-region new energy unit and the corresponding new energy output distribution according to the target function and the target constraint condition.
11. A computer-readable storage medium, characterized in that the storage medium stores a computer program for performing the method of any of the preceding claims 1-9.
12. An electronic device, characterized in that the electronic device comprises:
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 one of claims 1 to 9.
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