CN114678901B - Method, device, equipment and readable storage medium for reserving reserve capacity of generator - Google Patents

Method, device, equipment and readable storage medium for reserving reserve capacity of generator Download PDF

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Publication number
CN114678901B
CN114678901B CN202210422840.1A CN202210422840A CN114678901B CN 114678901 B CN114678901 B CN 114678901B CN 202210422840 A CN202210422840 A CN 202210422840A CN 114678901 B CN114678901 B CN 114678901B
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target
generator
reserved
capacity
determining
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CN114678901A (en
Inventor
袁泉
张蔷
李豹
禤培正
邹金
王子强
卢斯煜
周毓敏
王巍
马骞
姚海成
周鑫
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China South Power Grid International Co ltd
China Southern Power Grid Co Ltd
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China South Power Grid International Co ltd
China Southern Power Grid Co Ltd
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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
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • 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
    • H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
    • 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
    • H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • 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]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application discloses a reserve method, a reserve device, reserve equipment and a readable storage medium for reserve capacity of a generator, wherein the reserve capacity reservation method comprises the following steps: firstly acquiring power grid running state information of a calculation day, acquiring target data of a preset target factor from the power grid running state information, wherein the target factor is a variable factor influencing the reserved reserve capacity of the generator under the response of a demand, determining a target scene corresponding to the target data according to the mapping relation between a preset candidate scene and the data of the target factor, obtaining the target reserved reserve capacity corresponding to the target scene, and outputting the target reserved reserve capacity as the generator reserve capacity corresponding to the calculation day. It can be seen that the spare capacity of the generator corresponding to each candidate scene is obtained according to the variable factor influencing the reserved spare capacity of the generator under the response of the demand, so that the spare capacity to be reserved can be accurately determined, redundant resources are prevented from being in an idle state all the time, and the resource utilization rate can be improved.

Description

Method, device, equipment and readable storage medium for reserving reserve capacity of generator
Technical Field
The present application relates to the technical field of power systems, and in particular, to a method, an apparatus, a device, and a readable storage medium for reserving a standby capacity of a generator.
Background
Because of the fluctuation and prediction error of the power load, a certain reserve capacity of the generator is reserved to ensure the real-time balance of the power.
With the gradual advancement of the current electric market in China, the demand response gradually participates in the electric market. The demand response is one of core technologies of the smart grid, can serve as low-cost capacity resources for scheduling when the power system faces emergency, can influence the power market pricing mode, and plays roles in reducing power price fluctuation and restraining market force. However, the demand side response will reduce the demand for the generator backup capacity, but the effect of the demand response has not been considered at present, and the specific reduction of the generator backup capacity by the demand response is difficult to estimate.
Therefore, considering the demand response, how to accurately reserve the spare capacity of the generator to reduce the resource idle is a worth researching problem.
Disclosure of Invention
In view of the foregoing, the present application provides a method, apparatus, device and readable storage medium for reserving reserve capacity of a generator, which are used for accurately reserving reserve capacity of a generator when demand response is considered.
In order to achieve the above object, the following solutions have been proposed:
A method of reserving backup capacity of a generator, comprising:
acquiring power grid running state information of a calculation day;
Determining target data of a preset target factor according to the power grid running state information, wherein the target factor is a variable factor influencing reserved standby capacity of the generator under demand response;
Determining a target scene corresponding to target data according to a mapping relation between a preset candidate scene and data of target factors, and obtaining a target reserved reserve capacity corresponding to the target scene, wherein each candidate scene corresponds to the reserved reserve capacity of a generator;
And outputting the target reserved spare capacity as the generator spare capacity corresponding to the calculation day.
Preferably, the determining process of the preset target factor includes:
Constructing a market clearing model of electric power;
acquiring various variable factors influencing reserved reserve capacity of the generator under preset demand response;
and determining target factors from the variable factors according to the market clearing model.
Preferably, said determining a target factor from said variable factors according to said market clearing model comprises:
For each variable factor, determining the change sensitivity of reserved spare capacity of the generator after the variable factor is changed according to the market clearing model;
and selecting a first set number of variable factors from high to low according to the change sensitivity as the target factors.
Preferably, the process of determining the sensitivity of the variation of the reserve capacity reserved for the generator comprises:
for each of the variable factors:
acquiring an initial value of the variable factor from the power grid running state information;
inputting the initial value into the market clearing model to obtain the reserved initial spare capacity of the generator;
The initial value is increased to a set increase value, the increase value is input into the market clearing model, and the reserved change reserve capacity of the generator is obtained;
And taking the ratio of the first difference value of the increase value and the initial value and the second difference value of the variable reserve capacity and the initial reserve capacity as the variable sensitivity of the variable factor.
Preferably, the determining process of the mapping relation between the candidate scene and the data of the target factor includes:
Acquiring numerical intervals set by the target factors;
Dividing the corresponding numerical value interval into a second set number of numerical value subintervals aiming at each target factor;
And carrying out full permutation and combination on the numerical subintervals of different target factors to obtain a plurality of combination modes of the numerical subintervals of different target factors, wherein each combination mode corresponds to one candidate scene.
Preferably, the determining the target scene corresponding to the target data includes:
determining target numerical subintervals in which target data of each target factor are located, and obtaining target combination modes of each target subinterval;
and determining the candidate scene corresponding to the target combination mode as the target scene.
Preferably, the determining process of the reserved spare capacity of the generator corresponding to each candidate scene includes:
For each candidate scene, determining each candidate subinterval of a corresponding combination mode;
And taking one numerical value in each candidate subinterval, and inputting the numerical value of each candidate subinterval into the market clearing model to obtain reserved spare capacity of the generator.
A reserve device for reserve capacity of a generator, comprising:
the state information acquisition unit is used for acquiring the power grid operation state information of the calculation day;
The target data determining unit is used for determining target data of a preset target factor according to the power grid running state information, wherein the target factor is a variable factor influencing the reserved reserve capacity of the generator under the demand response;
The target scene determining unit is used for determining a target scene corresponding to target data according to a preset mapping relation between candidate scenes and data of target factors to obtain a target reserved reserve capacity corresponding to the target scene, wherein each candidate scene corresponds to the reserved reserve capacity of the generator;
and the standby capacity output unit is used for outputting the target reserved standby capacity as the generator standby capacity corresponding to the calculation day.
A reserve device for reserve capacity of a generator comprises a memory and a processor;
The memory is used for storing programs;
the processor is used for executing the program and realizing each step of the reserve method of the reserve capacity of the generator.
A readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above-described method of reserving generator reserve capacity.
According to the scheme, the method for reserving the reserve capacity of the generator comprises the steps of firstly acquiring power grid running state information of a calculation day, acquiring target data of a preset target factor, wherein the target factor is a variable factor influencing the reserve capacity reserved by the generator under demand response, determining a target scene corresponding to the target data according to a mapping relation between a preset candidate scene and the data of the target factor, obtaining the target reserved reserve capacity corresponding to the target scene, and outputting the target reserved reserve capacity as the reserve capacity of the generator corresponding to the calculation day.
Obviously, the method of the application constructs the mapping relation between the data of the target factors and the candidate scenes in advance, further can determine the target data of the target factors after acquiring the power grid running state information of the calculation day, inquires the mapping relation between the data of the target factors and the candidate scenes, can obtain the target scenes corresponding to the target data, and can determine the reserved spare capacity of the generator under the target scenes. It can be seen that the spare capacity of the generator corresponding to each candidate scene is obtained according to the variable factor influencing the reserved spare capacity of the generator under the response of the demand, so that the spare capacity to be reserved can be accurately determined, redundant resources are prevented from being in an idle state all the time, and the resource utilization rate can be improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a method for reserving a standby capacity of a generator according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a reserved device for reserve capacity of a generator according to an embodiment of the present application;
Fig. 3 is a hardware structure block diagram of a reserved device for spare capacity of a generator according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Next, a detailed description will be given of a method for reserving a reserve capacity of a generator according to the present application, referring to fig. 1, fig. 1 is a flow chart of a method for reserving a reserve capacity of a generator according to an embodiment of the present application, where the method includes:
Step S100: and acquiring power grid running state information of a calculation day.
Specifically, the power grid operation state information may include information for calculating various states of the power grid within a day, for example: load curves and peak-valley periods, electricity users, electricity prices and generator numbers and power at different periods, and other information related to grid operation.
Step S110: and determining target data of a preset target factor according to the power grid running state information.
In particular, the target factor may be a variable factor that affects the reserve capacity reserved by the generator in response to demand. Thus, specific data of the target factor can be obtained from the grid operation state information.
The target factors described above may be plural and may be preset, and the specific type and number of target factors may be determined according to the actual grid operation state.
Step S120: and determining a target scene corresponding to the target data according to the mapping relation between the preset candidate scene and the data of the target factors.
Specifically, the mapping relationship between the candidate scenes and the data of the target factors may be preset, the data of the target factors corresponding to each candidate scene may be different, and each candidate scene may correspond to the reserved spare capacity of the generator.
Based on the above, the target data and each candidate scene can be matched according to the mapping relation, the matched candidate scene is used as the target scene, and further the reserved spare capacity of the generator corresponding to the target scene can be obtained and used as the target reserved spare capacity.
Step S130: outputting the target reserved spare capacity.
Specifically, after determining the target reserved spare capacity, the target reserved spare capacity can be output to a user so as to inform the user of the spare capacity of power generation to be reserved in the power grid operation state on the calculation day.
According to the scheme, the method and the device can be used for matching the candidate scenes according to the preset mapping relation between the candidate scenes and the target factor data, the target factor data which are obtained from the power grid running state information and influence the demand response scheduling effect are matched, the standby capacity of the generator corresponding to the matched candidate scenes is used as the target reserved standby capacity, and therefore the standby capacity of power generation can be accurately reserved under the condition of considering the demand response, and excessive reserved standby capacity is not needed, so that resource waste is caused.
In some embodiments of the present application, the above step S110 is described, and the process of determining the target data of the preset target factor according to the grid operation state information will be further described.
Specifically, the process may include the steps of:
S1, constructing a market clearing model of electric power.
Specifically, constructing a market clearing model requires constructing conditions such as variables, expressions, objective functions, constraint conditions and the like.
The variables described above may include a variety of variables, examples being: the load of the power system, the power and the climbing rate of the generator, the upper limit and the lower limit of the power load and the like. The constraint condition may be used to constrain the objective function to approach the optimization objective, and this embodiment takes the objective function optimization objective as an example to obtain a lower electricity price as much as possible.
Constraints and objective functions constituted by expressions of the respective variables will be described below with specific examples.
The objective function is shown in formula (1):
p i,t is the winning value of the generator i in the period t, D u,t is the winning value of the flexible user u in the period t, B u,t(Du,t) is the electricity purchasing expense of the flexible user u in the period t, cp i,t, And respectively quoting and starting the cost of the unit i in the period t. I is the total number of the generator sets, T is the number of scheduling time periods, and U is the number of flexible loads.
Constraint conditions:
(1) System load balancing constraints:
For period t, the load balancing constraint may be described as:
Wherein: d fix,t is a fixed load for period t.
(2) Upper and lower limit constraint of the generator set:
Pi,min≤Pi,t≤Pi,max (3)
wherein: p i,min、Pi,max is the minimum technical output and the maximum technical output of the ith generator set, respectively.
(3) And constraint of climbing rate of the generator set:
Wherein: respectively the downward and upward climbing rates of the generator set i.
(4) Flexible load upper and lower limit constraints:
Du,min≤Du,t≤Du,max (5)
S2, obtaining various variable factors influencing reserved standby capacity of the generator under preset demand response.
Specifically, a variable factor that affects the adjustment effect of the demand side resource may be obtained, and the variable factor is described by a variable. Among other variables, the variable factors may include: the system comprises various demand side response resource occupation ratios, a system maximum load, a system maximum power generation capacity, a system supply-demand ratio, a system load rate, a power generation side average quotation level and the like.
The symbols representing the variable factors and the calculation formulas are as follows:
1) The ratio of various demand side response resources is expressed by a variable w, and for calculating the ratio of the daily demand side response capacity to the total load, a calculation formula is shown as a formula (6):
2) The maximum load of the system is represented by a variable PD max, and the calculation formula is shown as the formula (7) for calculating the maximum load value of the system load in the day:
PDmax＝max{Dfix,1,Dfix,2,...,Dfix,T}
(7)
3) The maximum power generation capacity of the system is represented by a variable PG max, and the calculation formula is shown as a formula (8) for calculating the sum of the installed capacities of all non-overhauling generators in the day:
4) The system supply-demand ratio is expressed by a variable Q, and for calculating the ratio of the maximum power generation capacity of the system to the maximum load of the system in the day, the calculation formula is shown as formula (9):
5) The system load rate is represented by PD av, and for calculating the ratio of the average load to the maximum load of the daily system, the calculation formula is shown as formula (10):
6) The average quotation level of the power generation side is expressed by pav, and the calculation formula is shown as formula (11) for calculating the average quotation of all the power generators in the day:
S3, determining target factors from the variable factors according to the market clearing model.
Specifically, the method comprises the following steps:
S31, determining the change sensitivity of the reserved spare capacity of the generator after the variable factors are changed according to the market clearing model according to each variable factor.
Specifically, for each variable factor, a certain increment or decrement can be generated, the rest variable factors are unchanged, and then all the variable factors are input into the market clearing model to obtain reserved spare capacity of the generator output by the market clearing model.
Then, the reserve capacity reserved for the generator obtained before and after the change is generated based on the variable factor, and the change sensitivity of the reserve capacity can be determined.
S32, selecting a first set number of variable factors from high to low according to the change sensitivity as the target factors.
Specifically, the variation sensitivity of each variable factor can be obtained through the steps, so that each variable factor can be ranked from high to low according to the variation sensitivity, and then the first set number of variable factors in the top ranking can be selected as target factors.
The first set number may be determined according to the actual situation, and may select a part of the variable factors as target factors, or may select all the variable factors as target factors.
From the above scheme, it can be seen that, in the embodiment of the present application, by acquiring a plurality of variable factors that play a major role in the regulation effect on the demand side resource under consideration of the demand response, and then determining the sensitivity of each variable factor to the change of the reserved spare capacity of the generator by using the market clearing model, the key target factors affecting the reserved spare capacity of the generator under the demand response are determined, so that the target data of each target factor can be directly determined from the power grid running state information, and can be used for the subsequent process of determining the target scene.
In some embodiments of the present application, the above-mentioned step S31 is described, and a process of determining the sensitivity of the change of the reserve capacity reserved for the generator after the change of the variable factor is determined according to the market-clearing model for each of the variable factors is further described below.
Specifically, the process may include the steps of:
for each of the variable factors:
s1, acquiring an initial value of the variable factor from the power grid running state information.
Specifically, the value of the variable factor when the variable factor is unchanged can be obtained from the power grid operation state information, that is, the initial value of the variable factor.
S2, inputting the initial value into the market clearing model to obtain the reserved initial spare capacity of the generator.
Specifically, the initial value of the target factor and the initial value of the other target factors can be input into the market clearing model to obtain the reserved initial reserve capacity of the generator.
And S3, increasing the initial value to a set increase value, and inputting the increase value into the market clearing model to obtain the reserved change reserve capacity of the generator.
Specifically, the initial value may be increased by a set amplitude value to obtain an increase amount, and then the increase amount and the initial value of the remaining variable factors are input to the market-clearing model, so that a reserved variable reserve capacity of the generator may be obtained, and the variable reserve capacity may be regarded as a reserve capacity of the generator under the influence of the change of the target factor.
S4, taking a first difference value between the increase value and the initial value and a ratio of the second difference value between the variable reserve capacity and the initial reserve capacity as the variable sensitivity of the variable factor.
Specifically, the first difference value before and after the change of the target factor can be compared with the second difference value corresponding to the change of the standby capacity of the generator, and the ratio of the first difference value and the second difference value is taken as the change sensitivity of the target factor.
Next, a process of determining the target factor variation sensitivity will be described with a specific example.
Specifically, taking the system supply-demand ratio Q described above as an example, assuming that the original supply-demand ratio of the system is q=q0, the remaining target factors are unchanged, and the spare capacity of the generator is calculated to be R0 by the market clearing model.
The R0 step of calculating the spare capacity of the generator through the market clearing model is as follows: firstly, inputting market clearing models shown in the formulas (1) to (5) into an optimization solver CPLEX, wherein the optimization solver CPLEX automatically selects a proper algorithm according to model characteristics to solve, and a winning value P i,t of the generator i in a period t is obtained after solving. Then, the generator standby capacity R0 can be obtained according to the following equation (12):
When the system supply-demand ratio Q is increased by a small increment to Q1, the same is true, other target factors are unchanged, the standby capacity of the generator is calculated to be R1 through a market clearing model, a specific calculation process can refer to a calculation process of R0, and the change sensitivity of the system supply-demand ratio can be calculated according to the following formula (13):
the sensitivity of the remaining variable factors can be referred to the above procedure, and will not be described here again.
According to the scheme, the target factors which have key influence on the reserved standby capacity of the generator under the demand response can be judged based on the change sensitivity, and then the standby capacity of the generator is accurately reserved according to the target data of the target factors.
In some embodiments of the present application, the above step S120 is described: the process of determining the target scene corresponding to the target data according to the preset mapping relation between the candidate scene and the data of the target factor will be further described.
Specifically, the process may include the steps of:
s1, acquiring numerical intervals set by the target factors.
Specifically, the value of each target factor has a certain range, so the numerical interval of each target factor can be empirically set.
S2, dividing the corresponding numerical value interval into a second set number of numerical value subintervals according to each target factor.
Specifically, the value of each target factor may be divided into a plurality of value subintervals, and the number of value subintervals divided by the value interval corresponding to each target factor may be equal.
S3, carrying out full-permutation and combination on the numerical subintervals of different target factors to obtain a combination mode of a plurality of numerical subintervals of different target factors, wherein each combination mode corresponds to one candidate scene.
Specifically, each numerical subinterval of each target factor and each numerical subinterval of the other target factors are respectively arranged and combined, so that multiple combination modes can be obtained, and each combination mode can correspond to one candidate scene.
Further, a process of determining a target scene corresponding to the target data is described.
Specifically, the target data obtained from the power grid running state information can determine the numerical subintervals where the target data of each target factor are located, and the combination of each numerical subinterval where the target data are located can be a combination mode corresponding to the target data, and the combination mode corresponds to one candidate scene as a target scene.
If the target data is not in each divided numerical subinterval, the closest numerical subinterval may be used as the numerical subinterval in which the target data is located.
Further, a process of determining reserved spare capacity of the generator corresponding to each candidate scene is described.
Specifically, the method comprises the following steps:
s1, determining each candidate subinterval of a corresponding combination mode for each candidate scene.
Specifically, the process of determining each subinterval may refer to the process of determining the target scene corresponding to the target data, which is not described herein.
S2, taking one numerical value in each candidate subinterval, and inputting the numerical value of each candidate subinterval into the market clearing model to obtain reserved spare capacity of the generator.
Specifically, the value taken by each candidate subinterval may be any value within the subinterval, for example: the median of each candidate subinterval, the value of the beginning of the interval, or the value of the end of the interval, etc.
And then, inputting each selected numerical value into a market clearing model, and further obtaining reserved spare capacity of the output generator, namely obtaining the spare capacity corresponding to each candidate scene.
Next, a process of determining the spare capacity corresponding to each candidate scene is described in a specific example.
Assume that the key factors identified in step 3 are: various demand side response resource occupation ratios, system supply-demand ratios and average quotation levels of power generation sides. The key factors are discretized, and the method is as follows:
Specifically, it is assumed that the second set number is three, that is, three variable factors are taken as target factors. The example takes various demand side response resource occupation ratios w, system supply-demand ratios Q and power generation side average quotation levels pav as examples.
Assuming that the ratio w of each type of response resource on the demand side is within the range of 0-0.3, the response resource on the demand side is divided into three subintervals, namely 0-0.1, 0.1-0.2 and 0.2-0.3 on average.
Assuming that the value range of the system supply-demand ratio Q is between 1.2 and 1.8, the system supply-demand ratio Q is divided into three sections, namely 1.2 to 1.4, 1.4 to 1.6 and 1.6 to 1.8 on average.
The average quotation level pav of the power generation side is divided into three sections, namely 200-300, 300-400 and 400-500, when the value range of the average quotation level pav of the power generation side is 200-500 yuan/MW.
Then, a value is arbitrarily taken in each subinterval, and this example is exemplified by a median. Namely, the ratio w of response resources on the various demand sides is respectively 0.05, 0.15 and 0.25, the ratio Q of supply and demand of the system is respectively 1.3, 1.5 and 1.7, and the average quotation level pav on the power generation side is respectively 250, 350 and 450.
The three target factors are selected, and each target factor can be obtained by selecting three median The combination modes are provided with 27 candidate scenes correspondingly, then the numerical value of each combination mode is input into the market clearing model, and the reserved spare capacity of the generator of each candidate scene output by the market clearing model can be obtained.
According to the scheme, different numerical values are selected for each target factor and input into the market clearing model, then reserved spare capacity of the generator corresponding to each candidate scene can be obtained, target data of the target factors can be directly matched with each numerical value, a subsequent scene corresponding to a combination mode obtained through matching is determined, reserved spare capacity of the generator corresponding to the scene is obtained, and the purpose of accurately reserving the spare capacity of the generator under demand response can be achieved.
The following describes a device for reserving a standby capacity of a generator provided by an embodiment of the present application, and the device for reserving a standby capacity of a generator described below and the method for reserving a standby capacity of a generator described above may be referred to correspondingly.
First, referring to fig. 2, a reserve device for a reserve capacity of a generator is described, as shown in fig. 2, the reserve device for a reserve capacity of a generator may include:
a state information obtaining unit 100, configured to obtain power grid operation state information of a calculation day;
A target data determining unit 110, configured to determine target data of a preset target factor according to the power grid operation state information, where the target factor is a variable factor that affects a reserved standby capacity of the generator in response to a demand;
The target scene determining unit 120 is configured to determine a target scene corresponding to the target data according to a mapping relationship between a preset candidate scene and data of a target factor, so as to obtain a target reserved spare capacity corresponding to the target scene, where each candidate scene corresponds to a reserved spare capacity of the generator;
And a spare capacity output unit 130, configured to output the target reserved spare capacity as the generator spare capacity corresponding to the calculation day.
Optionally, the reserving device of the spare capacity of the generator may further include a target factor determining unit, configured to determine a preset target factor, and the target factor determining unit may include:
The model building unit is used for building a market clearing model of the electric power;
the variable factor acquisition unit is used for acquiring various variable factors influencing the reserved reserve capacity of the generator under the preset demand response;
and the target factor selecting unit is used for determining target factors from the variable factors according to the market clearing model.
Optionally, the target factor selecting unit may include:
The sensitivity determining unit is used for determining the change sensitivity of the reserved spare capacity of the generator after the variable factors are changed according to the market clearing model for each variable factor;
And a target factor selecting unit configured to select a first set number of the variable factors from high to low as the target factors according to the change sensitivity.
Alternatively, the sensitivity determining unit may include:
for each of the variable factors:
the initial value acquisition unit is used for acquiring the initial value of the variable factor from the power grid running state information;
the initial reserve capacity determining unit is used for inputting the initial value into the market clearing model to obtain the reserved initial reserve capacity of the generator;
The change reserve capacity determining unit is used for increasing the initial value to a set increase value, inputting the increase value into the market clearing model, and obtaining the reserved change reserve capacity of the generator;
and a change sensitivity determination unit configured to determine, as the change sensitivity of the variable factor, a first difference value of the increase value and the initial value, and a ratio of the change reserve capacity to a second difference value of the initial reserve capacity.
Optionally, the reserving apparatus of the spare capacity of the generator may further include a mapping relation determining unit, configured to determine a mapping relation between the candidate scene and the data of the target factor, where the mapping relation determining unit may include:
The numerical value interval acquisition unit is used for acquiring the numerical value interval set by each target factor;
The numerical subinterval dividing unit is used for dividing the corresponding numerical interval into a second set number of numerical subintervals for each target factor;
And the digital subinterval arrangement unit is used for carrying out full arrangement and combination on the numerical subintervals of different target factors to obtain a plurality of combination modes of the numerical subintervals of different target factors, wherein each combination mode corresponds to one candidate scene.
Optionally, the target scene determining unit may include:
The target numerical value subinterval determining unit is used for determining target numerical value subintervals in which target data of each target factor are located, and obtaining target combination modes of each target subinterval;
And the target scene selection unit is used for determining the candidate scenes corresponding to the target combination mode as the target scenes.
Optionally, the mapping relation determining unit may further include a spare capacity determining unit, configured to determine a spare capacity reserved by the generator corresponding to each candidate scenario, where the spare capacity determining unit may include:
a candidate subinterval determining unit, configured to determine, for each candidate scene, each candidate subinterval of a corresponding combination manner;
and the spare capacity selecting unit is used for taking one numerical value in each candidate subinterval, and inputting the numerical value of each candidate subinterval into the market clearing model to obtain the reserved spare capacity of the generator.
The reserved device for the spare capacity of the generator, provided by the embodiment of the application, can be applied to reserved equipment for the spare capacity of the generator. Fig. 3 shows a hardware configuration block diagram of a reserved device for the spare capacity of the generator, and referring to fig. 3, the hardware configuration of the reserved device for the spare capacity of the generator may include: at least one processor 1, at least one communication interface 2, at least one memory 3 and at least one communication bus 4;
In the embodiment of the application, the number of the processor 1, the communication interface 2, the memory 3 and the communication bus 4 is at least one, and the processor 1, the communication interface 2 and the memory 3 complete the communication with each other through the communication bus 4;
The processor 1 may be a central processing unit CPU, or an Application-specific integrated Circuit ASIC (Application SPECIFIC INTEGRATED Circuit), or one or more integrated circuits configured to implement embodiments of the present invention, etc.;
The memory 3 may comprise a high-speed RAM memory, and may further comprise a non-volatile memory (non-volatile memory) or the like, such as at least one magnetic disk memory;
Wherein the memory stores a program, the processor is operable to invoke the program stored in the memory, the program operable to:
acquiring power grid running state information of a calculation day;
Determining target data of a preset target factor according to the power grid running state information, wherein the target factor is a variable factor influencing reserved standby capacity of the generator under demand response;
Determining a target scene corresponding to target data according to a mapping relation between a preset candidate scene and data of target factors, and obtaining a target reserved reserve capacity corresponding to the target scene, wherein each candidate scene corresponds to the reserved reserve capacity of a generator;
And outputting the target reserved spare capacity as the generator spare capacity corresponding to the calculation day.
Alternatively, the refinement function and the extension function of the program may be described with reference to the above.
The embodiment of the present application also provides a storage medium storing a program adapted to be executed by a processor, the program being configured to:
acquiring power grid running state information of a calculation day;
Determining target data of a preset target factor according to the power grid running state information, wherein the target factor is a variable factor influencing reserved standby capacity of the generator under demand response;
Determining a target scene corresponding to target data according to a mapping relation between a preset candidate scene and data of target factors, and obtaining a target reserved reserve capacity corresponding to the target scene, wherein each candidate scene corresponds to the reserved reserve capacity of a generator;
And outputting the target reserved spare capacity as the generator spare capacity corresponding to the calculation day.
Alternatively, the refinement function and the extension function of the program may be described with reference to the above.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims (10)

1. A method for reserving reserve capacity of a generator, comprising:
acquiring power grid running state information of a calculation day;
Determining target data of a preset target factor according to the power grid running state information, wherein the target factor is a variable factor influencing reserved standby capacity of the generator under demand response;
Determining a target scene corresponding to target data according to a mapping relation between a preset candidate scene and data of target factors, and obtaining a target reserved reserve capacity corresponding to the target scene, wherein each candidate scene corresponds to the reserved reserve capacity of a generator;
And outputting the target reserved spare capacity as the generator spare capacity corresponding to the calculation day.
2. The method of claim 1, wherein the determining of the predetermined target factor comprises:
Constructing a market clearing model of electric power;
acquiring various variable factors influencing reserved reserve capacity of the generator under preset demand response;
and determining target factors from the variable factors according to the market clearing model.
3. The method of claim 2, wherein said determining target factors from said respective variable factors based on said market clearing model comprises:
For each variable factor, determining the change sensitivity of reserved spare capacity of the generator after the variable factor is changed according to the market clearing model;
and selecting a first set number of variable factors from high to low according to the change sensitivity as the target factors.
4. A method according to claim 3, wherein the process of determining the sensitivity of the change in reserve capacity reserved for the generator comprises:
for each of the variable factors:
acquiring an initial value of the variable factor from the power grid running state information;
inputting the initial value into the market clearing model to obtain the reserved initial spare capacity of the generator;
The initial value is increased to a set increase value, the increase value is input into the market clearing model, and the reserved change reserve capacity of the generator is obtained;
And taking the ratio of the first difference value of the increase value and the initial value and the second difference value of the variable reserve capacity and the initial reserve capacity as the variable sensitivity of the variable factor.
5. The method according to claim 4, wherein the determining the mapping relation between the candidate scene and the data of the target factor includes:
Acquiring numerical intervals set by the target factors;
Dividing the corresponding numerical value interval into a second set number of numerical value subintervals aiming at each target factor;
And carrying out full permutation and combination on the numerical subintervals of different target factors to obtain a plurality of combination modes of the numerical subintervals of different target factors, wherein each combination mode corresponds to one candidate scene.
6. The method of claim 5, wherein the determining the target scene to which the target data corresponds comprises:
determining target numerical subintervals in which target data of each target factor are located, and obtaining target combination modes of each target subinterval;
and determining the candidate scene corresponding to the target combination mode as the target scene.
7. The method of claim 5, wherein the determining the reserved reserve capacity of the generator corresponding to each candidate scenario comprises:
For each candidate scene, determining each candidate subinterval of a corresponding combination mode;
And taking one numerical value in each candidate subinterval, and inputting the numerical value of each candidate subinterval into the market clearing model to obtain reserved spare capacity of the generator.
8. A reserve device for reserve capacity of a generator, comprising:
the state information acquisition unit is used for acquiring the power grid operation state information of the calculation day;
The target data determining unit is used for determining target data of a preset target factor according to the power grid running state information, wherein the target factor is a variable factor influencing the reserved reserve capacity of the generator under the demand response;
The target scene determining unit is used for determining a target scene corresponding to target data according to a preset mapping relation between candidate scenes and data of target factors to obtain a target reserved reserve capacity corresponding to the target scene, wherein each candidate scene corresponds to the reserved reserve capacity of the generator;
and the standby capacity output unit is used for outputting the target reserved standby capacity as the generator standby capacity corresponding to the calculation day.
9. A reserve device for reserve capacity of a generator, comprising a memory and a processor;
The memory is used for storing programs;
The processor being adapted to execute the program to carry out the steps of the method for reserving reserve capacity of a generator according to any one of claims 1-7.
10. A readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the method for reserving reserve capacity of a generator according to any one of claims 1-7.
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