CN113689033B - Method and device for checking and determining capacity generation price, computer equipment and storage medium - Google Patents
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Abstract
本申请涉及一种容量发电价核定方法、装置、计算机设备和存储介质。所述方法包括：获取目标发电机组的基础数据、燃料资源投入和市场运行预测数据，基础数据包括机组装机容量；根据基础数据，确定目标发电机组的固定资源投入；根据燃料资源投入，确定目标发电机组的变动资源投入；根据市场运行预测数据，得到目标发电机组的市场收入预测值；基于固定资源投入、变动资源投入和市场收入预测值、并结合机组装机容量，核定目标发电机组的容量发电价；其中，市场运行预测数据基于目标发电机组的历史市场运行数据，对目标发电机组进行市场仿真和全周期生产模拟得到。采用本方法能够提高容量发电价核定的准确度，以促进电力系统的平稳建设与发展。
The present application relates to a method, device, computer equipment and storage medium for determining a capacity power generation price. The method includes: acquiring basic data, fuel resource input and market operation forecast data of the target generator set, where the basic data includes the installed capacity of the generator set; determining the fixed resource input of the target generator set according to the basic data; determining the target power generation according to the fuel resource input The variable resource input of the unit; according to the market operation forecast data, the market income forecast value of the target generator set is obtained; based on the fixed resource input, variable resource input and market income forecast value, and combined with the installed capacity of the unit, the capacity power generation price of the target generator set is approved ; Among them, the market operation forecast data is based on the historical market operation data of the target generator set, and is obtained through market simulation and full-cycle production simulation of the target generator set. The adoption of the method can improve the accuracy of the verification of the capacity power generation price, so as to promote the stable construction and development of the power system.
Description
Technical Field
The present application relates to the field of power grid technologies, and in particular, to a method and an apparatus for determining a capacity generation price, a computer device, and a storage medium.
Background
With the large-scale access of high-proportion energy sources such as wind power and photovoltaic, in the environment, how to effectively guarantee the long-term abundance of a power system and solve the grounding cost of a generator set is a key problem to be solved urgently, and therefore a generation capacity and electricity price verification and determination mechanism needs to be established urgently.
At present, two modes of capacity compensation pricing and capacity market pricing are basically adopted as a power generation capacity pricing mode. The capacity compensation mechanism establishes a unified capacity compensation standard by a government or a specific agency, and determines a compensable capacity, a capacity electricity rate, and a capacity charge. The capacity market mechanism takes the available installed capacity of a unit as a target, a capacity resource provider and a system operator submit a capacity supply and demand curve, and capacity electricity price and capacity cost are obtained through centralized clearing.
However, the two methods of capacity compensation pricing and capacity market pricing are easily interfered by various uncertain factors and artificial subjective consciousness, and have the defect of inaccurate capacity generation price verification, which is not favorable for the stable construction and development of the power system.
Disclosure of Invention
In view of the above, there is a need to provide an accurate capacity price verification method, apparatus, computer device and storage medium for facilitating smooth construction and development of power system.
A method of capacity pricing, the method comprising:
acquiring basic data, fuel resource investment and market operation prediction data of a target generator set, wherein the basic data comprises the installed capacity of the generator set;
determining the fixed resource investment of the target generator set according to the basic data;
determining the variable resource investment of a target generator set according to the fuel resource investment;
obtaining a market income prediction value of the target generator set according to market operation prediction data;
based on fixed resource investment, variable resource investment and market income predicted values, and in combination with the installed capacity of the generating set, the capacity generating price of the target generating set is determined;
and the market operation prediction data is obtained by performing market simulation and full-period production simulation on the target generator set based on the historical market operation data of the target generator set.
In one embodiment, the method for verifying the capacity electricity generation price of the target generator set based on the fixed resource investment, the variable resource investment and the market income predicted value and combined with the unit installed capacity comprises the following steps:
according to the fixed resource investment, the variable resource investment and the predicted value of the market income, combining with a preset compensation factor to obtain the capacity cost of the target generator set;
and (4) verifying the capacity power generation price of the target generator set based on the capacity cost of the target generator set and in combination with the installed capacity of the generator set.
In one embodiment, the base data includes the age of the unit and financial parameters of the target generator unit dependent enterprise;
determining the fixed resource investment of the target generator set according to the basic data comprises:
and determining the fixed resource investment of the target generator set according to the unit life and the financial parameters of the target generator set dependent enterprises and in combination with a preset fixed resource investment determination rule.
In one embodiment, obtaining the fuel resource investment of the target generator set comprises: and acquiring the no-load fuel resource investment and the marginal fuel resource investment of the target generator set, wherein the no-load fuel resource investment is the fuel resource investment of the target generator set under the no-load working condition, and the marginal fuel resource investment is based on the fuel resource investment of the target generator set under the operating working condition.
In one embodiment, obtaining the marginal fuel resource investment of the target genset comprises:
acquiring a fuel price, a first fuel energy consumption value of a target generator set under a preset minimum output power working condition and a second fuel energy consumption value under a preset rated output power working condition;
and obtaining the marginal fuel resource investment of the target generator set according to the fuel price, the first fuel energy consumption value and the second fuel energy consumption value.
In one embodiment, the historical market operating data for the target generator set includes historical fluctuating resource investments for the target generator set;
the method for obtaining the market operation prediction data of the target generator set comprises the following steps:
based on the historical change resource investment of the target generator set, the optimal power flow calculation method based on the node electricity price mechanism is adopted to perform market simulation and full-period production simulation on the target generator set, and market operation prediction data are obtained.
A capacity price verification apparatus, the apparatus comprising:
the data acquisition module is used for acquiring basic data of the target generator set, fuel resource investment and market operation prediction data, wherein the basic data comprises the installed capacity of the generator set;
the fixed resource investment determining module is used for determining the fixed resource investment of the target generator set according to the basic data;
the variable resource input determining module is used for determining the variable resource input of the target generator set according to the fuel resource input;
the market income determination module is used for obtaining a market income prediction value of the target generator set based on the market operation prediction data;
the capacity power generation price verifying module is used for verifying the capacity power generation price of the target generator set based on fixed resource investment, variable resource investment and a market income predicted value and combined with the installed capacity of the generator set;
the market operation prediction data is obtained by carrying out market simulation and full-period production simulation on the target generator set.
In one embodiment, the capacity generation price verifying module is used for obtaining the capacity cost of the target generator set according to the fixed resource investment, the variable resource investment and the predicted market income value and combining with a preset compensation factor, and verifying the capacity generation price of the target generator set based on the capacity cost of the target generator set and combining with the installed capacity of the generator set.
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:
acquiring basic data, fuel resource investment and market operation prediction data of a target generator set, wherein the basic data comprises the installed capacity of the generator set;
determining the fixed resource investment of the target generator set according to the basic data;
determining the variable resource investment of a target generator set according to the fuel resource investment;
obtaining a market income prediction value of the target generator set according to market operation prediction data;
based on fixed resource investment, variable resource investment and market income predicted values, and in combination with the installed capacity of the generating set, the capacity generating price of the target generating set is determined;
and the market operation prediction data is obtained by performing market simulation and full-period production simulation on the target generator set based on the historical market operation data of the target generator set.
A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, performs the steps of:
acquiring basic data, fuel resource investment and market operation prediction data of a target generator set, wherein the basic data comprises the installed capacity of the generator set;
determining the fixed resource investment of the target generator set according to the basic data;
determining the variable resource investment of a target generator set according to the fuel resource investment;
obtaining a market income prediction value of the target generator set according to market operation prediction data;
based on fixed resource investment, variable resource investment and market income predicted values, and in combination with the installed capacity of the generating set, the capacity generating price of the target generating set is determined;
and the market operation prediction data is obtained by carrying out market simulation and full-period production simulation on the target generator set based on the historical market operation data of the target generator set.
According to the capacity power generation price verifying method, the device, the computer equipment and the storage medium, market simulation and full-period production simulation are carried out on the target generator set based on historical market operation data of the target generator set to obtain market operation prediction data, further market income prediction value of the target generator set is obtained, and then the capacity power generation price of the target generator set is verified based on fixed resource input, variable resource input and market income prediction value and combination of the installed capacity of the generator set. According to the scheme, market operation prediction data close to the real situation are obtained through market simulation and full-period production simulation, so that a more accurate market income prediction value is obtained, the fixed and variable resource investment of the generator set and the market income prediction value under the full-period production simulation are comprehensively considered, the accuracy of capacity generation price approval is improved, and the stable construction and development of a power system can be promoted.
Drawings
FIG. 1 is a diagram illustrating an exemplary embodiment of a method for pricing a generated electricity for capacity;
FIG. 2 is a schematic flow chart diagram illustrating a method for pricing the generated capacity;
FIG. 3 is a flowchart illustrating a method for pricing a capacity power generation price according to another embodiment;
FIG. 4 is a block diagram showing the structure of a capacity power generation price approving device according to an embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad application.
The method for checking the capacity electricity generation price can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. Specifically, the method comprises the steps that a worker uploads basic data, fuel resource investment, market operation prediction data and historical market operation data of a target generator set to a server 104 through a terminal 102, then, a capacity power generation price approval message is sent to the server 104 through the terminal 102, the server 104 responds to the message to obtain the basic data, the fuel resource investment and the market operation prediction data of the target generator set, the basic data comprises the installed capacity of the generator set, fixed resource investment of the target generator set is determined according to the basic data, variable resource investment of the target generator set is determined according to the fuel resource investment, a market income prediction value of the target generator set is obtained according to the market operation prediction data, and the capacity power generation price of the target generator set is approved based on the fixed resource investment, the variable resource investment and the market income prediction value and is combined with the installed capacity of the generator set, and the market operation prediction data is obtained by performing market simulation and full-period production simulation on the target generator set based on the historical market operation data of the target generator set. The terminal 102 may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, a method for determining the price of electricity generated by capacity generation is provided, which is illustrated by applying the method to the server in fig. 1, and includes the following steps:
The capacity power generation price verification method is used for various generator sets, including wind generator sets, hydroelectric generating sets, solar generator sets and other types of generator sets. In this embodiment, the target generator set refers to a certain type of generator set selected by the staff, for example, a thermal power generator set. The basic data of the target generator set comprise the installed capacity of the generator set, the service life of the generator set, the scale of the generator set, the financial parameters of the subordinate enterprises and the like. The fuel resource investment comprises fuel energy consumption, fuel price, fuel cost and the like. In specific implementation, historical market operation data of the target generator set can be obtained, and then market simulation and full-period production simulation are carried out on the target generator set based on the historical market operation data of the target generator set to obtain market operation prediction data.
And step 204, determining the fixed resource investment of the target generator set according to the basic data.
The fixed resource investment of the target generator set is the fixed cost. In specific implementation, the investment discount rate of the subordinate enterprise can be determined according to the financial parameters of the subordinate enterprise of the target generator set in the basic data, and then the fixed cost of the target generator set is determined according to the investment discount rate and the unit service life.
As shown in FIG. 3, in one embodiment, step 204 includes: and 224, determining the fixed resource investment of the target generator set according to the service life of the generator set and the financial parameters of the target generator set dependent enterprises by combining a preset fixed resource investment determination rule.
Specifically, based on the basic data of the generator set, calculating the fixed cost of the generator set may be: assuming that the debt duty ratio of a subordinate enterprise of the generating set is alpha, the debt interest rate is beta and the net asset earning rate is gamma, the unit investment reduction rate r of the enterprise is as follows:
r＝α×β+γ×(1-α)
assuming that the service life of the unit is n, the total investment cost is I and the investment discount rate is r, the fixed cost W of the unit is:
in the embodiment, the fixed cost is calculated by combining the service life of the unit and the financial parameters of the subordinate enterprises, so that the calculated fixed cost is higher in accuracy.
And step 206, determining the variable resource investment of the target generator set according to the fuel resource investment.
Varying resource investments, i.e., varying costs. In specific implementation, the fuel resource investment includes an idle-load fuel resource investment (i.e., an idle-load fuel cost) cost and a marginal fuel resource investment (i.e., a marginal fuel cost), where the idle-load fuel resource investment is a fuel resource investment of the target generator set under an idle-load working condition, and the marginal fuel resource investment is based on the fuel resource investment of the target generator set under an operating working condition. The running cost of the target genset can be determined based on the empty fuel cost and the marginal fuel cost. Specifically, the fuel energy consumption of the target generator set under the no-load working condition is E 0 And the fuel price is rho, the no-load fuel cost B of the unit is as follows:
B＝E 0 ×ρ
in one embodiment, obtaining the marginal fuel resource investment of the target generator set comprises: acquiring a fuel price, a first fuel energy consumption value of a target generator set under a preset minimum output power working condition and a second fuel energy consumption value under a preset rated output power working condition; and obtaining the marginal fuel resource investment of the target generator set according to the fuel price, the first fuel energy consumption value and the second fuel energy consumption value.
Specifically, assume that the target genset is at minimum output power, i.e. (minimum technical output) P min The first fuel energy consumption value under the working condition is E min And if the second fuel energy consumption value under the rated output power working condition P is E and the fuel price rho, the marginal fuel cost A of the target generator set is as follows:
A＝(E min -E)/(P min -P)×ρ
then, calculating the variation cost C of the target generator set according to the marginal fuel cost A and the no-load fuel cost B as follows:
C＝A+B
in the embodiment, the fuel energy consumption under the working condition of the minimum output power and the working condition of the rated output power is considered, so that the calculated marginal fuel cost is more accurate and comprehensive.
And step 208, obtaining a market income prediction value of the target generator set according to the market operation prediction data.
Specifically, the market operating forecast data includes expected clearing amounts, clearing price levels, medium and long term market revenues, and ancillary services market revenues. In specific implementation, based on the change cost of a target generator set (or various generator sets), an optimal power flow calculation method based on a node electricity price mechanism is adopted to perform day-ahead market simulation considering safety constraint unit combination and real-time market simulation considering safety economic dispatching, continuous automatic rolling is performed to perform full-period production simulation, and market operation prediction data including the expected clear electricity P of the generator set are obtained s And a price level ρ of the shipment s Medium and long term market income E mid Auxiliary service market revenue E as Then, based on the data, calculating to obtain a predicted value D of the market income of the generator set as follows:
D＝E mid +E as +P s ×ρ s
and step 210, based on fixed resource investment, variable resource investment and market income predicted value, and in combination with the capacity of the machine assembling machine, the capacity power generation price of the target generator set is determined.
As shown in FIG. 3, in one embodiment, step 210 comprises: and step 220, obtaining the capacity cost of the target generator set by combining preset compensation factors according to the fixed resource input, the variable resource input and the predicted value of the market income, and checking the capacity power generation price of the target generator set based on the capacity cost of the target generator set and the installed capacity of the generator set.
The compensation factor refers to the power factor. The magnitude of the power factor is related to the load characteristics of the circuit, for example, the power factor of a resistive load such as an incandescent bulb or a resistance furnace is 1, and the power factor of a circuit with an inductive or capacitive load is generally less than 1. The power factor is a factor for measuring the efficiency of the electrical equipment. The power factor is low, which indicates that the reactive power of the circuit for alternating magnetic field conversion is large, thereby reducing the utilization rate of equipment and increasing the power supply loss of a line. In particular, it may be assumed that the compensation factor is μ c (0<μ c <1) The capacity price of the target generator set can be determined according to the fixed cost W, the variable cost C and the market income D of the target generator set, and the compensation factor mu is combined c Calculating the capacity cost W of the generator set c Comprises the following steps:
W c ＝(W+C-D)×μ c
capacity cost W based on target generator set c Installed capacity P of mixer set c Determining a capacity generation price ρ c Comprises the following steps:
ρ c ＝W c /P c
in the embodiment, the situation of the target generator set in the actual operation process is considered through the preset compensation factor, and the situation is closer to the real situation, so that the accuracy of the capacity power generation price is further improved.
According to the capacity power generation price approval method, market simulation and full-period production simulation are carried out on the target generator set based on historical market operation data of the target generator set to obtain market operation prediction data and further obtain a market income prediction value of the target generator set, and then the capacity power generation price of the target generator set is approved based on fixed resource input, variable resource input and the market income prediction value and combination of installed capacity of the generator set. According to the scheme, market operation prediction data close to the real situation are obtained through market simulation and full-period production simulation, so that a more accurate market income prediction value is obtained, fixed and variable resource investment of the generator set and the market income prediction value under the full-period production simulation are comprehensively considered, accuracy of capacity generation price approval is improved, and stable construction and development of a power system can be promoted.
It should be understood that, although the steps in the flowcharts related to the above embodiments are shown in sequence as indicated by the arrows, the steps are not necessarily executed in sequence as indicated by the arrows. The steps are not limited to being performed in the exact order illustrated and, unless explicitly stated herein, may be performed in other orders. Moreover, at least a part of the steps in each flowchart related to the above embodiments may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.
In one embodiment, as shown in fig. 4, there is provided a capacity generation price approving apparatus including: a data acquisition module 410, a fixed resource investment determination module 420, a varied resource investment determination module 430, a market revenue determination module 440, and a capacity generation price approval module 450, wherein:
the data acquisition module 410 is used for acquiring basic data of a target generator set, fuel resource input and market operation prediction data, wherein the basic data comprises the installed capacity of the generator set;
a fixed resource investment determining module 420, configured to determine a fixed resource investment of the target generator set according to the basic data;
a varied resource investment determining module 430, configured to determine a varied resource investment of the target generator set according to the fuel resource investment;
the market income determination module 440 is used for obtaining a market income prediction value of the target generator set based on the market operation prediction data;
a capacity power generation price verification module 450, configured to verify a capacity power generation price of the target generator set based on the fixed resource investment, the variable resource investment and the market income prediction value, and in combination with the installed capacity of the generator set;
the market operation prediction data is obtained by carrying out market simulation and full-period production simulation on the target generator set.
The capacity power generation price verification device performs market simulation and full-period production simulation on the target generator set based on historical market operation data of the target generator set to obtain market operation prediction data and further obtain a market income prediction value of the target generator set, and then verifies the capacity power generation price of the target generator set based on fixed resource investment, changed resource investment and market income prediction value and combination of installed capacity of the generator set. According to the device, market operation prediction data close to the real situation are obtained through market simulation and full-period production simulation, so that a more accurate market income prediction value is obtained, the fixed and variable resource investment of the generator set and the market income prediction value under the full-period production simulation are comprehensively considered, the accuracy of capacity generation price approval is improved, and the stable construction and development of a power system can be promoted.
In one embodiment, the data obtaining module 410 is further configured to obtain a capacity cost of the target generator set according to the fixed resource investment, the variable resource investment, and the market income prediction value, by combining a preset compensation factor, and to approve a capacity power generation price of the target generator set based on the capacity cost of the target generator set and by combining the installed capacity of the generator set.
In one embodiment, the base data includes the age of the unit and financial parameters of the target generator unit dependent enterprise; the fixed resource investment determination module 420 is further configured to determine a fixed resource investment of the target generator set according to the unit life and financial parameters of the target generator set dependent enterprise, in combination with a preset fixed resource investment determination rule.
In one embodiment, the data obtaining module 410 is further configured to obtain an empty fuel resource investment and a marginal fuel resource investment of the target generator set, where the empty fuel resource investment is a fuel resource investment of the target generator set under an empty condition, and the marginal fuel resource investment is based on the fuel resource investment of the target generator set under an operating condition.
In one embodiment, the data obtaining module 410 is further configured to obtain a fuel price, a first fuel energy consumption value of the target generator set under a preset minimum output power condition, and a second fuel energy consumption value under a preset rated output power condition; and obtaining the marginal fuel resource investment of the target generator set according to the fuel price, the first fuel energy consumption value and the second fuel energy consumption value.
In one embodiment, the historical market operating data for the target generator set includes historical fluctuating resource investments for the target generator set; the data obtaining module 410 is further configured to perform market simulation and full-period production simulation on the target generator set by using an optimal power flow calculation method based on a node electricity price mechanism based on historical changed resource investment of the target generator set, so as to obtain market operation prediction data.
For specific examples of the device for checking the power generation price of capacity, reference may be made to the above examples of the method for checking the power generation price of capacity, and details are not described here. Each module in the above capacity electricity generation price checking device may be implemented wholly or partially by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. 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 comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing basic data, fuel resource investment and market operation prediction data and the like of a target generator set. 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 a processor to implement a method of capacity pricing.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those 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 having a computer program stored therein, the processor implementing the following steps when executing the computer program: acquiring basic data, fuel resource investment and market operation prediction data of a target generator set, wherein the basic data comprises the capacity of a machine assembling machine; determining the fixed resource investment of the target generator set according to the basic data; determining the variable resource investment of a target generator set according to the fuel resource investment; obtaining a market income prediction value of the target generator set according to the market operation prediction data; based on fixed resource investment, variable resource investment and market income prediction values, and in combination with the installed capacity of the generator set, the capacity power generation price of the target generator set is determined; and the market operation prediction data is obtained by performing market simulation and full-period production simulation on the target generator set based on the historical market operation data of the target generator set.
In one embodiment, the processor, when executing the computer program, further performs the steps of: according to the fixed resource investment, the variable resource investment and the predicted value of the market income, combining with a preset compensation factor to obtain the capacity cost of the target generating set; and checking the capacity power generation price of the target generator set based on the capacity cost of the target generator set and in combination with the installed capacity of the generator set.
In one embodiment, the processor, when executing the computer program, further performs the steps of: determining the fixed resource investment of the target generator set according to the basic data comprises: and determining the fixed resource investment of the target generator set according to the unit life and financial parameters of the target generator set belonging to enterprises and in combination with a preset fixed resource investment determination rule.
In one embodiment, the processor when executing the computer program further performs the steps of: and acquiring the no-load fuel resource investment and the marginal fuel resource investment of the target generator set, wherein the no-load fuel resource investment is the fuel resource investment of the target generator set under the no-load working condition, and the marginal fuel resource investment is based on the fuel resource investment of the target generator set under the operating working condition.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a fuel price, a first fuel energy consumption value of a target generator set under a preset minimum output power working condition and a second fuel energy consumption value under a preset rated output power working condition; and obtaining the marginal fuel resource investment of the target generator set according to the fuel price, the first fuel energy consumption value and the second fuel energy consumption value.
In one embodiment, the processor, when executing the computer program, further performs the steps of: based on the historical change resource investment of the target generator set, an optimal power flow calculation method based on a node electricity price mechanism is adopted to perform market simulation and full-period production simulation on the target generator set, and market operation prediction data are obtained.
In one embodiment, a computer-readable storage medium is provided, having stored thereon a computer program which, when executed by a processor, performs the steps of: acquiring basic data, fuel resource investment and market operation prediction data of a target generator set, wherein the basic data comprises the installed capacity of the generator set; determining the fixed resource investment of the target generator set according to the basic data; determining the variable resource investment of the target generator set according to the fuel resource investment; obtaining a market income predicted value of the target generator set according to the market operation predicted data; based on fixed resource investment, variable resource investment and market income predicted values, and in combination with the installed capacity of the generating set, the capacity generating price of the target generating set is determined; and the market operation prediction data is obtained by performing market simulation and full-period production simulation on the target generator set based on the historical market operation data of the target generator set.
In one embodiment, the computer program when executed by the processor further performs the steps of: according to the fixed resource investment, the variable resource investment and the predicted value of the market income, combining with a preset compensation factor to obtain the capacity cost of the target generator set; and (4) verifying the capacity power generation price of the target generator set based on the capacity cost of the target generator set and in combination with the installed capacity of the generator set.
In one embodiment, the computer program when executed by the processor further performs the steps of: determining the fixed resource investment of the target generator set according to the basic data comprises: and determining the fixed resource investment of the target generator set according to the unit life and the financial parameters of the target generator set dependent enterprises and in combination with a preset fixed resource investment determination rule.
In one embodiment, the computer program when executed by the processor further performs the steps of: and acquiring the no-load fuel resource investment and the marginal fuel resource investment of the target generator set, wherein the no-load fuel resource investment is the fuel resource investment of the target generator set under the no-load working condition, and the marginal fuel resource investment is based on the fuel resource investment of the target generator set under the operating working condition.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a fuel price, a first fuel energy consumption value of a target generator set under a preset minimum output power working condition and a second fuel energy consumption value under a preset rated output power working condition; and obtaining the marginal fuel resource investment of the target generator set according to the fuel price, the first fuel energy consumption value and the second fuel energy consumption value.
In one embodiment, the computer program when executed by the processor further performs the steps of: based on the historical change resource investment of the target generator set, an optimal power flow calculation method based on a node electricity price mechanism is adopted to perform market simulation and full-period production simulation on the target generator set, and market operation prediction data are obtained.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, the RAM may take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is specific and detailed, but not to be understood as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent application shall be subject to the appended claims.
Claims (8)
1. A method for determining a capacity generation price, the method comprising:
acquiring basic data, fuel resource investment and market operation prediction data of a target generator set, wherein the basic data comprises the installed capacity of the generator set;
determining the fixed resource investment of the target generator set according to the basic data;
determining the variable resource investment of the target generator set according to the fuel resource investment;
obtaining a market income prediction value of the target generator set according to the market operation prediction data;
according to the fixed resource investment, the variable resource investment and the market income predicted value, combining a preset compensation factor to obtain the capacity cost of the target generator set, wherein the compensation factor is a power factor, the size of the power factor is related to the load property of a circuit, and the power factor is a coefficient for measuring the efficiency of electrical equipment;
verifying the capacity power generation price of the target generator set based on the capacity cost of the target generator set and in combination with the installed capacity of the generator set;
the market operation prediction data is obtained by performing market simulation and full-period production simulation on a target generator set based on historical market operation data of the target generator set;
the acquiring of the fuel resource investment of the target generator set comprises the following steps:
acquiring a no-load fuel resource investment and a marginal fuel resource investment of the target generator set, wherein the no-load fuel resource investment is the fuel resource investment of the target generator set under a no-load working condition, and the marginal fuel resource investment is based on the fuel resource investment of the target generator set under an operating working condition;
the acquiring of the marginal fuel resource investment of the target generator set comprises the following steps:
acquiring a fuel price, a first fuel energy consumption value of the target generator set under a preset minimum output power working condition and a second fuel energy consumption value of the target generator set under a preset rated output power working condition;
and obtaining the marginal fuel resource investment of the target generator set according to the fuel price, the first fuel energy consumption value and the second fuel energy consumption value.
2. The method of claim 1, wherein the base data includes a unit life and financial parameters of the target generator unit dependent business;
the determining the fixed resource investment of the target generator set according to the basic data comprises:
and determining the fixed resource investment of the target generator set according to the unit life and the financial parameters and by combining a preset fixed resource investment determination rule.
3. The capacity price rating method according to claim 1 or 2, wherein the historical market operation data of the target generator set includes historical varied resource investments of the target generator set;
the obtaining of the market operation prediction data of the target generator set comprises:
and on the basis of the historical change resource investment of the target generator set, carrying out market simulation and full-period production simulation on the target generator set by adopting an optimal power flow calculation method based on a node electricity price mechanism to obtain the market operation prediction data.
4. A capacity pricing apparatus, the apparatus comprising:
the data acquisition module is used for acquiring basic data, fuel resource input and market operation prediction data of a target generator set, wherein the basic data comprises the installed capacity of the generator set;
the fixed resource investment determining module is used for determining the fixed resource investment of the target generator set according to the basic data;
the variable resource investment determining module is used for determining the variable resource investment of the target generator set according to the fuel resource investment;
the market income determination module is used for obtaining a market income prediction value of the target generator set based on the market operation prediction data;
a capacity power generation price verification module, configured to combine a preset compensation factor according to the fixed resource investment, the variable resource investment, and the market income, where the compensation factor is a power factor, and the magnitude of the power factor is related to a load property of a circuit, the power factor is a coefficient for measuring efficiency of electrical equipment, so as to obtain a capacity cost of the target generator set, and verify a capacity power generation price of the target generator set based on the capacity cost and in combination with the installed capacity of the generator set;
the market operation prediction data are obtained by performing market simulation and full-period production simulation on the target generator set based on historical market operation data of the target generator set;
the data acquisition module is further configured to acquire a no-load fuel resource investment and a marginal fuel resource investment of the target generator set, where the no-load fuel resource investment is a fuel resource investment of the target generator set under a no-load working condition, and the marginal fuel resource investment is based on the fuel resource investment of the target generator set under an operating working condition;
the data acquisition module is also used for acquiring a fuel price, a first fuel energy consumption value of the target generator set under the working condition of preset minimum output power and a second fuel energy consumption value under the working condition of preset rated output power; and obtaining the marginal fuel resource investment of the target generator set according to the fuel price, the first fuel energy consumption value and the second fuel energy consumption value.
5. The capacity price approving device according to claim 4, wherein the basic data includes a unit life and financial parameters of a target unit-dependent enterprise;
and the fixed resource investment determining module is also used for determining the fixed resource investment of the target generator set according to the unit service life and the financial parameters and by combining a preset fixed resource investment determining rule.
6. The capacity power generation price approval apparatus according to claim 4 or 5, wherein the historical market operation data of the target generator set includes a historical varied resource investment of the target generator set;
the data acquisition module is further used for carrying out market simulation and full-period production simulation on the target generator set by adopting an optimal power flow calculation method based on a node electricity price mechanism on the basis of the historical change resource investment of the target generator set, so as to acquire the market operation prediction data.
7. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor realizes the steps of the method of any one of claims 1 to 3 when executing the computer program.
8. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 3.
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| CN112465614A (en) * | 2020-11-23 | 2021-03-09 | 华能安源发电有限责任公司 | One-day operation accounting system and method for coal-fired power generation enterprise |
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