CN116454892A - Method, device and equipment for determining renewable energy and thermal power coupling system - Google Patents
Method, device and equipment for determining renewable energy and thermal power coupling system Download PDFInfo
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Abstract
The application discloses a method, a device and equipment for determining a renewable energy source and thermal power coupling system. The method can be applied to the technical field of data processing, and specifically comprises the following steps: constructing at least two renewable energy and thermal power coupling systems RETCS according to the electric power application scene; determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under the effective index; and selecting a target RETCS of the power application scene from the RETCSs according to the coupling co-schedule of the RETCSs. According to the scheme, renewable energy power generation and thermal power generation close to each other in geographic position are coordinated together to serve as control objects, so that the problem of power fluctuation during power generation can be reduced, the calculation accuracy of coupling coordination of RETCS is improved, and the technical effect of more accurately selecting target RETCS is achieved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a method, a device and equipment for determining a renewable energy source and thermal power coupling system.
Background
Along with the rapid development of the economy in China, the demand for electric power is also increasing, and in order to improve the utilization rate of electric power resources to meet the electric power demand to the maximum extent, the power fluctuation in the electric power resources needs to be reduced.
However, in the prior art, it is generally necessary to coordinate geographically dispersed power sources through a power grid, and the geographically dispersed power sources cannot effectively solve the problem of power fluctuation of power resources, so that accuracy of calculation of various data of the power sources cannot be guaranteed.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, an apparatus and a device for determining a renewable energy and thermal power coupling system, which can reduce the problem of power fluctuation of an electric power resource.
In a first aspect, the present application provides a method for determining a renewable energy and thermal power coupling system, the method comprising:
constructing at least two renewable energy and thermal power coupling systems RETCS according to the electric power application scene;
determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under the effective index; the effective index comprises at least one of a resource dimension index, an economic dimension index and an environment dimension index;
and selecting a target RETCS of the power application scene from the RETCSs according to the coupling co-schedule of the RETCSs.
In one embodiment, determining the coupling co-schedule of each RETCS according to the index value of each RETCS under the effective index includes:
For each RETCS, determining an index value of the RETCS under each effective index according to the renewable energy data, the thermal power data and the system data of the RETCS under each effective index;
and determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under each effective index.
In one embodiment, generating text data of the sample report according to the report number and the fixed index field length of the sample report includes:
according to the report number of the sample report, searching the basic data of the sample report from the database;
generating index data corresponding to the fixed index according to the fixed index field length of the sample report;
and combining the basic data of the sample report and index data corresponding to the fixed index to obtain text data of the sample report.
In one embodiment, determining the coupling co-schedule of each RETCS according to the index value of each RETCS under each effective index includes:
for each RETCS, taking the average value of index values of the RETCS under each effective index as a coupling coordination schedule of the RETCS.
In one embodiment, selecting a target RETCS of a power application scenario from each RETCS according to a coupling co-schedule of each RETCS includes:
And taking RETCS with the maximum coupling cooperative scheduling in each RETCS as a target RETCS of the power application scene.
In one embodiment, after constructing at least two renewable energy and thermal power coupling systems RETCS according to the power application scenario, the method further includes:
and optimizing each RETCS by using a preset optimization model.
In a second aspect, the present application further provides a determining apparatus for a renewable energy and thermal power coupling system, the apparatus comprising:
the construction module is used for constructing at least two renewable energy and thermal power coupling systems RETCS according to the electric power application scene;
the determining module is used for determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under the effective index; the effective index comprises at least one of a resource dimension index, an economic dimension index and an environment dimension index;
and selecting a target RETCS of the power application scene from the RETCSs according to the coupling co-schedule of the RETCSs.
In a third aspect, the present application also provides a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
constructing at least two renewable energy and thermal power coupling systems RETCS according to the electric power application scene;
Determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under the effective index; the effective index comprises at least one of a resource dimension index, an economic dimension index and an environment dimension index;
and selecting a target RETCS of the power application scene from the RETCSs according to the coupling co-schedule of the RETCSs.
In a fourth aspect, the present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
constructing at least two renewable energy and thermal power coupling systems RETCS according to the electric power application scene;
determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under the effective index; the effective index comprises at least one of a resource dimension index, an economic dimension index and an environment dimension index;
and selecting a target RETCS of the power application scene from the RETCSs according to the coupling co-schedule of the RETCSs.
In a fifth aspect, the present application also provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of:
constructing at least two renewable energy and thermal power coupling systems RETCS according to the electric power application scene;
Determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under the effective index; the effective index comprises at least one of a resource dimension index, an economic dimension index and an environment dimension index;
and selecting a target RETCS of the power application scene from the RETCSs according to the coupling co-schedule of the RETCSs.
According to the method, the device and the equipment for determining the renewable energy source and thermal power coupling system, at least two RETCSs are constructed according to the power application scene, then the coupling cooperative schedule of each RETCS is determined according to the index value of each RETCS under the effective index, and finally the target RETCS of the power application scene is selected from each RETCS according to the coupling cooperative schedule of each RETCS. Compared with the method for determining the renewable energy source and thermal power coupling system in the related art, the method for determining the renewable energy source and thermal power coupling system has the advantages that renewable energy source power generation and thermal power generation close to each other in geographic position are coordinated together to serve as control objects, the power fluctuation problem during power generation can be reduced, the calculation accuracy of coupling co-scheduling of RETCS is improved, and the technical effect of more accurately selecting target RETCS is achieved.
Drawings
FIG. 1 is a flow chart of a method for determining a renewable energy and thermal power coupling system in one embodiment;
FIG. 2 is a flow diagram of determining a coupling co-schedule for RETCS in one embodiment;
FIG. 3 is a flow chart of determining an index value of the RETCS at each effective index according to one embodiment;
FIG. 4 is a flow chart of a method for determining a renewable energy and thermal power coupling system according to another embodiment;
FIG. 5 is a block diagram of a determination device of a renewable energy and thermal power coupling system in one embodiment;
FIG. 6 is a block diagram of a determining apparatus of a renewable energy and thermal power coupling system according to another embodiment;
FIG. 7 is a block diagram of a determining apparatus of a renewable energy and thermal power coupling system according to another embodiment;
fig. 8 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In one embodiment, fig. 1 is a schematic flow chart of a method for determining a renewable energy source and thermal power coupling system according to an embodiment of the present application, and the method is applied to the server in fig. 1, for example, and the method includes the following steps:
S101, constructing at least two renewable energy and thermal power coupling systems RETCS according to an electric power application scene.
Alternatively, the power application scenario may be a place with power demand, for example, a school, a hospital, a hotel, or the like.
Further, RETCS may be a system that connects geographically close renewable energy power generation and thermal power generation to a main power system via coupling points. In contrast to conventional BRTGS (Bundle Renewable Energy and Thermal Power Generation Systems, a bundled renewable energy and thermal power generation system), RETCS does not coordinate geographically dispersed power sources through the grid, but rather internally coordinates renewable energy generation and thermal power generation in close geographic locations, that is, RETCS can be an overall control object, and has better controllability compared with BRTGS, so that the problem of power fluctuation of renewable energy power generation can be better solved. In the northeast power grid of China, because the flexible power source in the region is limited, the comprehensive coordination among the short-distance power sources is needed, RETCS is widely implemented, and the practical application value is realized.
Furthermore, the characteristic indexes of RETCS can be selected according to the characteristics of a plurality of thermodynamic units in RETCS in each region, such as scheduling time interval, active power loss estimation, renewable energy and power capacity demand data, power capacity ratio and coordination strategy, and the characteristic indexes of RETCS and the power source are the same, so that a foundation is laid for determining target RETCS later.
It should be further noted that the number of RETCSs may be configured as required, and the number of RETCSs is not limited in the embodiment of the present invention.
S102, determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under the effective index.
Alternatively, the coupling co-schedule may be a value that measures the coupling effect of the RETCSs, which may be the interaction and interaction between RETCSs. The effective index can be an index which can influence RETCS, and the selection of the effective index is based on the thermal power fluctuation rate, the renewable energy source utilization and the whole RETCS so as to comprehensively reflect the coupling effect; the embodiment of the invention takes three effective indexes of resources, economy and environment as examples for illustration, but the types of the effective indexes are not limited. The index value under the effective index may be the value of each effective index of a RETCS, and the index values under the effective indexes of RETCS may be the same or different.
Furthermore, RETCS can be the power generation system that comprises a plurality of power sources, there is coupling effect between a plurality of power sources, and coupling effect receives the influence of factors such as resource, economy, environment. RETCS has common interaction and common characteristics in three aspects of resources, economy and environment. First, the resources in RETCS play an important role in performance improvement. On one hand, RETCS with better resource utilization can improve the utilization rate of renewable energy power generation, reduce the fluctuation of CP, and on the other hand, RETCS with better resource utilization can improve economic benefit and environmental benefit. However, excessive pursuit of resource utilization increases economic costs and is harmful to the environment. Second, the economy in RETCS represents a balance and link between resources and environments. If environmental impact and reasonable utilization of resources are not considered, better economic benefits cannot be obtained. Third, resources and economics are constrained by RETCS environmental performance.
Specifically, after determining the index value of each RETCS under the effective index, the embodiment of the invention averages the index values under the effective indexes, and the obtained average value of each RETCS is the coupling co-schedule of each RETCS.
S103, selecting a target RETCS of the power application scene from the RETCSs according to the coupling coordination schedule of the RETCSs.
Specifically, after determining the coupling co-schedule of each RETCS, the embodiment of the invention sorts the coupling co-schedules of each RETCS, and takes the RETCS with the largest coupling co-schedule in each RETCS as the target RETCS of the power application scene.
In the method for determining the renewable energy and thermal power coupling system, at least two RETCSs are constructed according to the electric power application scene, then the coupling cooperative schedule of each RETCS is determined according to the index value of each RETCS under the effective index, and finally the target RETCS of the electric power application scene is selected from each RETCS according to the coupling cooperative schedule of each RETCS. Compared with the method for determining the renewable energy source and thermal power coupling system in the related art, the method for determining the renewable energy source and thermal power coupling system has the advantages that renewable energy source power generation and thermal power generation close to each other in geographic position are coordinated together to serve as control objects, the power fluctuation problem during power generation can be reduced, the calculation accuracy of coupling co-scheduling of RETCS is improved, and the technical effect of more accurately selecting target RETCS is achieved.
On the basis of the above embodiment, the step of determining the coupling co-schedule of each RETCS is decomposed and refined. Optionally, as shown in fig. 2, the implementation process specifically includes the following steps:
s201, for each RETCS, determining an index value of the RETCS under each effective index according to renewable energy data, thermal power data and system data of the RETCS under each effective index.
Optionally, the renewable energy data, the thermal power data and the system data in the embodiment of the present invention may be specific data set as required for each effective index of a specific RETCS, and the embodiment of the present invention does not limit the type of the specific data.
Specifically, after the renewable energy source data, the thermal power data and the system data of the RETCS under each effective index are obtained, the renewable energy source data, the thermal power data and the system data of the RETCS under each effective index are summed, and the obtained summation result is the index value of the RETCS under each effective index.
S202, determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under each effective index.
Specifically, after determining the index value of each RETCS under each effective index, the embodiment of the invention uses the average value of the index values of each RETCS under each effective index as the coupling co-schedule of the RETCS for each RETCS.
It can be understood that, by introducing the coupling co-schedule in the embodiment of the present invention, the coupling co-schedule of each RETCS can be determined according to the index value of each RETCS under each effective index, so as to lay a foundation for the subsequent determination of the target RETCS.
On the basis of the above embodiment, the step of determining the index value of the RETCS at each effective index is refined. Optionally, as shown in fig. 3, the implementation process specifically includes the following steps:
s301, determining a first value according to the renewable energy source data of the RETCS under the effective index aiming at each effective index.
Optionally, in the embodiment of the invention, the second-level index and the third-level index are set under each effective index (first-level index), so that the coupling coordination degree calculation of RETCS can be refined, and the obtained coupling coordination degree is more accurate; in addition, the secondary indexes under each effective index in the embodiment of the invention are set as renewable energy source data, thermal power data and system data, but the tertiary indexes under each secondary index under each effective index are set according to the type of the effective index, so that the tertiary indexes under each secondary index under the effective index are different. The index system of RETCS is shown in Table 1.
TABLE 1 index System of RETCS
As shown in table 1, the system data under the resource effective index includes the system energy shortage, the coupling power fluctuation rate and the average power adjustment range of RETCS; the thermal power data under the effective indexes of the resources comprise a rapid lifting rate and a rapid adjusting rate; the renewable energy data under the resource availability index includes renewable energy utilization. The system data under the economic and effective index comprises the whole unit generating income of RETCS and the annual usage hours of RETCS; the thermal power data under the economic and effective indexes comprise unit power generation income of the thermodynamic machine set, power generation operation cost of the thermodynamic machine set and annual use hours of the thermodynamic machine set; the renewable energy data under the economic efficiency index includes unit generation income of the renewable energy and annual utilization time of the renewable energy. The system data under the environment effective index comprises the equivalent carbon emission of the total unit power generation life cycle; the thermal power data under the environment effective index comprises the unit power generation pollution cost of the thermodynamic unit; the renewable energy data under the environment effective index comprises the equivalent carbon emission of the renewable energy unit in the power generation life cycle.
Referring now to table 1, the procedure for obtaining the index value of the RETCS at each effective index is as follows:
The three-level index in table 1 needs to be normalized to obtain a normalized value, the normalized value may be used to characterize the score of each tertiary indicator. In a positive index, the higher the index value, the higher the score. In the negative index, the higher the index value, the lower the score can eliminate the influence of different scale units and scales of different RETCSs on the calculation accuracy of the index value under each effective index. The normalized value depends on whether the contribution of the tertiary index to RETCS is positive or negative. Wherein, the contribution of the three-level index to RETCS is positive, and the normalized value isWherein U is ij A j-th tertiary index of the i-th RETCS; x is X ij Is U (U) ij Wherein X is ij ∈[0,1]. When the contribution of the three-level index to RETCS is negative, the normalized value isAfter the normalization processing is performed on the three-level index, the index value of the three-level index under each two-level index can be obtained, as shown in the formula (1).
Wherein Ui is an index value under the ith secondary index, and Ui E [0,1 ]]；λ ij The preset weight value of the j-th three-level index of the i-th RETCS is obtained.
Specifically, in the embodiment of the invention, after determining the renewable energy data of the RETCS under the effective index, the first numerical value corresponding to the renewable energy data of the RETCS under the effective index can be obtained by substituting the renewable energy data into the formula (1).
S302, determining a second value according to the thermal power data of the RETCS under the effective index.
Specifically, in the embodiment of the present invention, after determining the thermal power data of the RETCS under the effective index, the second value corresponding to the thermal power data of the RETCS under the effective index is obtained by substituting the thermal power data of the RETCS into the formula (1).
S303, determining a third numerical value according to the system data of the RETCS under the effective index.
Specifically, after determining the system data of the RETCS under the effective index, the embodiment of the invention substitutes into the formula (1) to obtain a third value corresponding to the system data of the RETCS under the effective index.
S304, taking the sum of the first value, the second value and the third value as an index value of the RETCS under the effective index.
It can be understood that the renewable energy source data, the thermal power data and the system data are introduced in the embodiment of the invention, and the performance parameter values can be analyzed by utilizing the renewable energy source data, the thermal power data and the system data, so that the index value of the RETCS under the effective index is obtained, thereby laying a foundation for the subsequent determination of the target RETCS.
After RETCS is built, RETCS needs to be optimized to improve the coupling effect of RETCS, so that the accuracy of subsequent coupling coordination degree calculation for optimized RETCS is improved.
(1) The uncertainty of the factor affecting RETCS is eliminated.
The power demand and power supply of renewable energy power generation is uncertain due to various factors such as weather and user behavior. Fluctuations in power demand and renewable energy yield caused by these uncertainties will lead to inefficient utilization of renewable energy resources, also reducing the economic benefits of RETCS and increasing environmental costs. These combined effects will result in a reduction of the coupling effect of RETCS and therefore the effect of these uncertainties on RETCS needs to be eliminated to improve the utilization of thermal power by the coupling effect of RETCS. Uncertainty of factors affecting RETCS by using a thermal power method can be adopted in the embodiment of the invention.
(2) Annual total revenue of RETCS is maximized.
For the system operator, RETCS optimization is targeted at maximizing benefit. The generation revenue of multiple thermal units in RETCS is related to the real-time DPR service that it can provide. In the embodiment of the invention, when the average load rate of the starting unit at a certain moment is smaller than the compensation standard, the compensation of the DPR service can be obtained. Therefore, the maximum annual total income obtained finally is shown in the formula (2),
max F A ＝F GI -(F OP，d +F OP，u )-(F TE，d +F TE，u )-F ON，d +F RI， u (2)
wherein F is A Total annual revenue for RETCS; f (F) GI Expected heat unit income for the year; f (F) OP，d 、F OP，u The annual operation cost of the first-stage thermal power generating unit and the second-stage thermal power generating unit are respectively; f (F) TE，d 、F TE，u Respectively is a first and a secondAnnual pollution cost of the thermal power generating unit; f (F) ON，d The annual breaking cost of the thermodynamic machine set is realized; f (F) RI，u Annual revenue for the second stage renewable energy generator set. The above formula consists of two phases: subscript d represents the first stage decision and subscript u represents the second stage decision. The decision in the first stage is deterministic and is made before uncertainty is considered. The decision of the second stage is stochastic, at which stage real-time scheduling resources are utilized to correct the effects of uncertainty after the first stage decision, and the uncertainty is converted to deterministic using the scenario and its corresponding probabilistic representation.
(3) Annual total revenue of RETCS is maximized.
The RETCS optimization model in the embodiment of the invention has a first stage decision variable and a second stage decision variable. Wherein the first stage decision variables are context independent, and include basic scheduling output of the thermodynamic unit and on/off state of the thermodynamic unit pre-formulated according to RETCS history data and scheduling strategy; the second stage decision variables, which include renewable energy unit real-time power output and thermodynamic unit real-time power correction, are real-time scheduling resources that can be modified in a particular scenario to optimize RETCS to maximize annual total revenue for RETCS, depending on the scenario.
(4) Constraint conditions.
In the embodiment of the invention, when RETCS is optimized, constraint conditions are required to be satisfied. Constraints for optimizing RETCS in the present invention include formulas (3) - (12):
RETCS in the embodiment of the invention needs to satisfy two balance policy constraints, as shown in the following formulas (3) - (4):
wherein P is TH (gT) is the predicted output power of the thermodynamic unit g at the moment t; p (P) THR (g, t, s) is the output power of the thermodynamic unit g when the standby capacity of the thermodynamic unit g at the moment t is subjected to real-time power correction under the s power application scene; p (P) RE (g, t, s) is the output power of the renewable energy unit g at the time t under the s power application scene; p (P) L (t, s) is the predicted power demand at the coupling point at time t in the s power application scenario; p (P) ND (t, s) is a short power deficiency between RETCS generated power and power demand; p (P) RE-f (g, t) is the real-time output power of the renewable energy source g at the time t; p (P) L_f (t) is a predicted power demand at a coupling point at time t; g TH Is a thermodynamic machine set; g RE In order to be able to produce a renewable energy power plant, it is to be noted that the thermodynamic plant is part of the power plant.
Equation (3) represents an active balancing strategy constraint, and equation (4) represents a passive balancing strategy constraint, under both strategies, the power demand and the uncertainty of renewable energy power generation can be balanced. Under the active balance strategy, the uncertainty of power demand and renewable energy power generation is balanced through the predicted power output and the real-time correction of the thermodynamic unit; under the passive balancing strategy, the uncertainty of power demand and renewable energy power generation is balanced through real-time correction of a thermodynamic unit.
RETCS in the embodiment of the invention also needs to meet the power output range of the renewable thermal power unit and the utilization rate requirement constraint of the real-time power output of the renewable thermal power unit, and the following formula (5) shows:
wherein, gamma is the lowest utilization rate of renewable energy;maximum output power of the renewable energy unit g at the moment t under the s power application scene; />The output power of the renewable energy unit g at the time t under the s power application scene; />Is the maximum output power of the renewable energy unit g.
RETCS in the embodiment of the invention also needs to meet the state constraint of the thermodynamic machine set, as shown in the following formula (6):
wherein beta is DPR (g, t) is the DPR (Deep Peak Regulation ) state value of the thermodynamic unit g at time t; beta RPR (g, t) is the RPR (Regular Peak Regulation, periodic peak shaving) state value of the thermodynamic unit g at the time t; alpha (g, t) is the on/off state of the thermodynamic unit g at time t; g TH_DPR Is a thermodynamic machine set with DPR (differential pressure recovery) capability; g TH_RPR Is a thermodynamic machine set with RPR capability.
RETCS in the embodiment of the invention also needs to meet the power output range constraint of the thermodynamic machine set, and the following formula (7) shows:
wherein,,the minimum active output power of the thermodynamic unit g in the DPR state; />The maximum active output power of the thermodynamic unit g; / >Is the minimum active output power of the thermodynamic unit g in the RPR state.
RETCS in the embodiment of the invention also needs to meet the power output limit constraint of the thermodynamic unit between two adjacent time intervals, as shown in the following formula (7):
wherein,,the upward output power range of the thermodynamic unit g at the time t is defined; t is the current time +.>The downward output power range of the thermodynamic unit g at the time t is defined; />The maximum climbing power of the thermodynamic unit g in the DPR state is set; />The thermodynamic unit g has the maximum climbing power in the RPR state.
RETCS in the embodiment of the invention also needs to meet the climbing constraint of the thermodynamic machine set in the RPR or DPR state, and the following formulas (9) - (10) are shown:
wherein, the formula (9) represents the climbing constraint of the thermodynamic machine set in the DPR state; equation (10) represents the climbing constraint of the thermodynamic machine set in the RPR state;
PR (t, s) is the probability of the power application scene at the moment s; p (P) TH (g, t+1) is the predicted output power of the thermodynamic unit g at the time t+1;the slope constraint of the thermodynamic machine set in the RPR state is realized; />Is the slope constraint of the thermodynamic machine set in the DPR state.
RETCS in the embodiment of the invention also needs to meet the minimum on/off time constraint of the thermodynamic machine set, as shown in the following formula (11):
Wherein alpha (g, t-1) is the on/off state of the thermodynamic unit g at the time t-1;the operation time of the thermodynamic unit g at the moment t-1 after the thermodynamic unit g is started; />After the heat engine group g is started up is set to a minimum run time of (1); />The shutdown time of the thermodynamic unit g at the time t-1 after shutdown is set; />Is the minimum downtime of the thermal couple g when it is shut down.
RETCS in the embodiment of the invention also needs to meet the minimum constraint of the RPR/DPR duration of the thermodynamic unit, as shown in the following formula (12):
wherein beta is DPR (g, t-1) is the DPR state value of the thermodynamic unit g at the time t-1; beta RPR (g, t-1) is the RPR state value of the thermodynamic unit g at the time t-1;the operation time of the thermodynamic unit g at the time t-1 in the DPR state is set;the minimum operation time of the thermodynamic unit g in the DPR state; />The operation time of the thermodynamic unit g at the time t-1 in the RPR state is obtained; />Is the minimum operating time that the thermodynamic unit g passes in RPR state.
In addition, in one embodiment, the application further provides an alternative example of a method for determining a renewable energy source and thermal power coupling system, and fig. 4 is a schematic flow chart of a method for determining a renewable energy source and thermal power coupling system in another embodiment, and in combination with fig. 4, the method specifically includes the following implementation procedures:
S401, constructing at least two renewable energy and thermal power coupling systems RETCS according to an electric power application scene.
S402, optimizing each RETCS by using a preset optimization model.
S403, for each RETCS, determining, for each effective index, a first value according to renewable energy data of the RETCS under the effective index.
S404, determining a second value according to the thermal power data of the RETCS under the effective index.
S405, determining a third numerical value according to the system data of the RETCS under the effective index.
S406, taking the sum of the first value, the second value and the third value as an index value of the RETCS under the effective index.
S407, regarding each RETCS, taking the average value of the index values of the RETCS under each effective index as the coupling co-schedule of the RETCS.
S408, taking RETCS with the maximum coupling coordination degree in each RETCS as a target RETCS of the power application scene.
By the scheme, renewable energy power generation and thermal power generation close to each other in geographic position are coordinated together to serve as control objects, so that the problem of power fluctuation during power generation can be reduced, the calculation accuracy of coupling cooperative scheduling of RETCS is improved, and the technical effect of more accurately selecting target RETCS is achieved.
The specific process of S401 to S408 may refer to the description of the foregoing method embodiment, and its implementation principle and technical effect are similar, and are not repeated herein.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a determination device of the renewable energy source and thermal power coupling system for realizing the determination method of the renewable energy source and thermal power coupling system. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiment of the determining device of the renewable energy source and thermal power coupling system provided below may be referred to the limitation of the determining method of the renewable energy source and thermal power coupling system hereinabove, and will not be repeated here.
In one embodiment, a block diagram of the determination device of the renewable energy and thermal power coupling system in one embodiment is shown by fig. 5. As shown in fig. 5, there is provided a determining apparatus 5 of a renewable energy and thermal power coupling system, the apparatus comprising: a construction module 50, a determination module 51 and a selection module 52, wherein:
the construction module 50 is configured to construct at least two renewable energy and thermal power coupling systems RETCS according to an electric power application scenario;
a determining module 51, configured to determine a coupling coordination schedule of each RETCS according to an index value of each RETCS under an effective index; the effective index comprises at least one of a resource dimension index, an economic dimension index and an environment dimension index;
the selection module 52 is configured to select a target RETCS of the power application scenario from the RETCS according to the coupling co-schedule of the RETCS.
According to the determining device of the renewable energy source and thermal power coupling system, at least two RETCSs are constructed according to the electric power application scene, then the coupling cooperative schedule of each RETCS is determined according to the index value of each RETCS under the effective index, and finally the target RETCS of the electric power application scene is selected from each RETCS according to the coupling cooperative schedule of each RETCS. Compared with the method for determining the renewable energy source and thermal power coupling system in the related art, the method for determining the renewable energy source and thermal power coupling system has the advantages that renewable energy source power generation and thermal power generation close to each other in geographic position are coordinated together to serve as control objects, the power fluctuation problem during power generation can be reduced, the calculation accuracy of coupling co-scheduling of RETCS is improved, and the technical effect of more accurately selecting target RETCS is achieved.
In one embodiment, a block diagram of a determination device of a renewable energy source and thermal power coupling system in another embodiment is shown by fig. 6. As shown in fig. 6, the determination module 51 in fig. 5 may specifically include:
a first determining unit 511 for determining, for each RETCS, an index value of the RETCS under each effective index based on renewable energy data, thermal power data, and system data of the RETCS under each effective index;
a second determining unit 512, configured to determine a coupling coordination schedule of each RETCS according to the index value of each RETCS under each effective index.
In one embodiment, the first determining unit 511 is specifically configured to: for each effective index, determining a first value according to renewable energy data of the RETCS under the effective index; determining a second value according to the thermal power data of the RETCS under the effective index; determining a third value according to the system data of the RETCS under the effective index; and taking the sum of the first value, the second value and the third value as an index value of the RETCS under the effective index.
In one embodiment, the second determining unit 512 is specifically configured to: for each RETCS, taking the average value of index values of the RETCS under each effective index as a coupling coordination schedule of the RETCS.
In one embodiment, the selection module 52 is specifically configured to: and taking RETCS with the maximum coupling cooperative scheduling in each RETCS as a target RETCS of the power application scene.
In one embodiment, a block diagram of a determination device of a renewable energy source and thermal power coupling system in another embodiment is shown by fig. 7. The apparatus further comprises:
and an optimization module 53, configured to optimize each RETCS by using a preset optimization model.
The above-mentioned each module in the determination device of the renewable energy source and thermal power coupling system may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 8. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing the determination data of the renewable energy source and thermal power coupling system. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by the processor to implement a method of determining a renewable energy and thermal power coupling system.
Those skilled in the art will appreciate that the structures shown in FIG. 8 are only block diagrams of portions of structures that are relevant to the present application and are not intended to limit the computer device on which the present application is applied, and in particular, a computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
constructing at least two renewable energy and thermal power coupling systems RETCS according to the electric power application scene;
determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under the effective index; the effective index comprises at least one of a resource dimension index, an economic dimension index and an environment dimension index;
and selecting a target RETCS of the power application scene from the RETCSs according to the coupling co-schedule of the RETCSs.
In one embodiment, when the processor executes logic for determining the coupling co-schedule of each RETCS according to the index value of each RETCS under the effective index in the computer program, the following steps are specifically implemented:
For each RETCS, determining an index value of the RETCS under each effective index according to the renewable energy data, the thermal power data and the system data of the RETCS under each effective index; and determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under each effective index.
In one embodiment, when the processor executes logic in the computer program to determine the index value of the RETCS under each effective index according to the renewable energy data, the thermal power data and the system data of the RETCS under each effective index, the following steps are specifically implemented:
for each effective index, determining a first value according to renewable energy data of the RETCS under the effective index; determining a second value according to the thermal power data of the RETCS under the effective index; determining a third value according to the system data of the RETCS under the effective index; and taking the sum of the first value, the second value and the third value as an index value of the RETCS under the effective index.
In one embodiment, when the processor executes logic in the computer program for determining the coupling co-schedule of each RETCS according to the index value of each RETCS under each effective index, the following steps are specifically implemented:
For each RETCS, taking the average value of index values of the RETCS under each effective index as a coupling coordination schedule of the RETCS.
In one embodiment, when the processor executes logic of selecting a target RETCS of the power application scenario from the RETCS according to the coupling co-schedule of the RETCS in the computer program, the following steps are specifically implemented:
and taking RETCS with the maximum coupling cooperative scheduling in each RETCS as a target RETCS of the power application scene.
In one embodiment, after the processor performs the construction of at least two renewable energy and thermal power coupling systems RETCS according to the power application scenario, the following steps are further specifically implemented:
and optimizing each RETCS by using a preset optimization model.
The principles and specific processes of implementing the above-provided computer device in the embodiments may be referred to the description in the embodiment of the method for determining the renewable energy source and thermal power coupling system in the foregoing embodiment, which is not repeated herein.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
constructing at least two renewable energy and thermal power coupling systems RETCS according to the electric power application scene;
Determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under the effective index; the effective index comprises at least one of a resource dimension index, an economic dimension index and an environment dimension index;
and selecting a target RETCS of the power application scene from the RETCSs according to the coupling co-schedule of the RETCSs.
In one embodiment, when the logic for determining the coupling co-schedule of each RETCS according to the index value of each RETCS under the effective index in the computer program is executed by the processor, the following steps are specifically implemented:
for each RETCS, determining an index value of the RETCS under each effective index according to the renewable energy data, the thermal power data and the system data of the RETCS under each effective index; and determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under each effective index.
In one embodiment, the logic in the computer program for determining the index value of the RETCS under each effective index according to the renewable energy data, the thermal power data and the system data of the RETCS under each effective index is executed by the processor, and specifically implements the following steps:
for each effective index, determining a first value according to renewable energy data of the RETCS under the effective index; determining a second value according to the thermal power data of the RETCS under the effective index; determining a third value according to the system data of the RETCS under the effective index; and taking the sum of the first value, the second value and the third value as an index value of the RETCS under the effective index.
In one embodiment, the logic in the computer program for determining the coupling co-schedule of each RETCS according to the index value of each RETCS under each effective index is executed by the processor, and specifically implements the following steps:
for each RETCS, taking the average value of index values of the RETCS under each effective index as a coupling coordination schedule of the RETCS.
In one embodiment, when logic in the computer program for selecting a target RETCS of the power application scenario from the RETCS according to the coupling co-schedule of the RETCS is executed by the processor, the following steps are specifically implemented:
and taking RETCS with the maximum coupling cooperative scheduling in each RETCS as a target RETCS of the power application scene.
In one embodiment, after the logic of constructing at least two renewable energy and thermal power coupling systems RETCS is executed by the processor according to the electric power application scenario, the following steps are further specifically implemented:
and optimizing each RETCS by using a preset optimization model.
The principles and specific processes of implementing the foregoing embodiments of the computer readable storage medium may be referred to in the foregoing embodiment of the method for determining the coupling system of renewable energy and thermal power in the foregoing embodiment, which is not described herein.
The principles and specific procedures of implementing the foregoing embodiments of the present invention in the foregoing embodiments of the target detection method may be referred to in the foregoing embodiments of the present invention, and are not described herein in detail.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
constructing at least two renewable energy and thermal power coupling systems RETCS according to the electric power application scene;
determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under the effective index; the effective index comprises at least one of a resource dimension index, an economic dimension index and an environment dimension index;
and selecting a target RETCS of the power application scene from the RETCSs according to the coupling co-schedule of the RETCSs.
In one embodiment, when the logic for determining the coupling co-schedule of each RETCS according to the index value of each RETCS under the effective index in the computer program is executed by the processor, the following steps are specifically implemented:
for each RETCS, determining an index value of the RETCS under each effective index according to the renewable energy data, the thermal power data and the system data of the RETCS under each effective index; and determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under each effective index.
In one embodiment, the logic in the computer program for determining the index value of the RETCS under each effective index according to the renewable energy data, the thermal power data and the system data of the RETCS under each effective index is executed by the processor, and specifically implements the following steps:
for each effective index, determining a first value according to renewable energy data of the RETCS under the effective index; determining a second value according to the thermal power data of the RETCS under the effective index; determining a third value according to the system data of the RETCS under the effective index; and taking the sum of the first value, the second value and the third value as an index value of the RETCS under the effective index.
In one embodiment, the logic in the computer program for determining the coupling co-schedule of each RETCS according to the index value of each RETCS under each effective index is executed by the processor, and specifically implements the following steps:
for each RETCS, taking the average value of index values of the RETCS under each effective index as a coupling coordination schedule of the RETCS.
In one embodiment, when logic in the computer program for selecting a target RETCS of the power application scenario from the RETCS according to the coupling co-schedule of the RETCS is executed by the processor, the following steps are specifically implemented:
And taking RETCS with the maximum coupling cooperative scheduling in each RETCS as a target RETCS of the power application scene.
In one embodiment, after the logic of constructing at least two renewable energy and thermal power coupling systems RETCS is executed by the processor according to the electric power application scenario, the following steps are further specifically implemented:
and optimizing each RETCS by using a preset optimization model.
The principles and specific procedures of implementing the foregoing embodiments of the present invention in the foregoing embodiments of the target detection method may be referred to in the foregoing embodiments of the present invention, and are not described herein in detail.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. A method for determining a renewable energy and thermal power coupling system, comprising:
constructing at least two renewable energy and thermal power coupling systems RETCS according to the electric power application scene;
determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under the effective index; wherein the effective index comprises at least one of a resource dimension index, an economic dimension index and an environmental dimension index;
And selecting a target RETCS of the power application scene from the RETCSs according to the coupling co-schedule of the RETCSs.
2. The method of claim 1, wherein determining the coupling co-schedule for each RETCS based on the index value of each RETCS under the validity index comprises:
for each RETCS, determining an index value of the RETCS under each effective index according to the renewable energy data, the thermal power data and the system data of the RETCS under each effective index;
and determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under each effective index.
3. The method of claim 2, wherein determining the index value of the RETCS at each effective index based on the renewable energy data, the thermal power data, and the system data of the RETCS at each effective index comprises:
for each effective index, determining a first value according to renewable energy data of the RETCS under the effective index;
determining a second value according to the thermal power data of the RETCS under the effective index;
determining a third value according to the system data of the RETCS under the effective index;
and taking the sum of the first value, the second value and the third value as an index value of the RETCS under the effective index.
4. The method of claim 2, wherein determining the coupling co-schedule for each RETCS based on the index value for each RETCS at each validity index comprises:
for each RETCS, taking the average value of index values of the RETCS under each effective index as a coupling coordination schedule of the RETCS.
5. The method according to claim 1, wherein selecting the target RETCS of the power application scenario from among the RETCS according to the coupling co-schedule of the RETCS comprises:
and taking RETCS with the maximum coupling cooperative scheduling in each RETCS as a target RETCS of the power application scene.
6. The method according to claim 1, wherein after constructing at least two renewable energy and thermal power coupling systems RETCS according to the power application scenario, the method further comprises:
and optimizing each RETCS by using a preset optimization model.
7. A device for determining a renewable energy source and thermal power coupling system, comprising:
the construction module is used for constructing at least two renewable energy and thermal power coupling systems RETCS according to the electric power application scene;
the determining module is used for determining the coupling coordination schedule of each RETCS according to the index value of each RETCS under the effective index; wherein the effective index comprises at least one of a resource dimension index, an economic dimension index and an environmental dimension index;
And the selection module is used for selecting the target RETCS of the power application scene from the RETCSs according to the coupling coordination schedule of the RETCSs.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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