CN118134321A - Pumped storage income data analysis method based on different electricity price modes - Google Patents
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Abstract
The invention discloses a pumped storage income data analysis method based on different electricity price modes, and relates to the technical field of pumped storage. According to the pumped storage income data analysis method based on the different electricity price modes, cost data and return data in the different electricity price modes are obtained, and income values in the different electricity price modes are calculated; calculating a balance ratio in the electricity price non-using mode based on the cost data and the return data; calculating return stability coefficients under different electricity price modes based on the return data; based on the income value, the balance ratio and the return stability coefficient, the income recommendation index under the non-electricity price mode is calculated, and through considering multiple aspects of investment cost, operation cost, market income, government subsidy and the like, comprehensive economic benefit analysis is provided, so that a decision maker is helped to comprehensively know the economic feasibility of the project, in addition, participation income of the pumped storage project in an auxiliary service market and a peak regulation and valley leveling market is considered, and evaluation is performed more comprehensively through multidimensional income calculation.
Description
Technical Field
The invention relates to the technical field of pumped storage, in particular to a pumped storage income data analysis method based on different electricity price modes.
Background
The pumped storage power station is used as a flexible resource with excellent performance, has the advantages of large adjustment range, high efficiency, long service life, good economy and the like, is the most mature and best-economical energy storage technology in the prior art, and is most suitable for adjustment of a large-scale power system.
The Chinese patent application with publication number of CN114462660A discloses a annual income measuring and calculating method of a pumped storage power station, which comprises the following steps: analyzing the basic condition of a government subsidy policy, an electric power market environment and an electric power system of the area where the pumped storage power station is located; analyzing an operational mode which can be adopted by the pumped storage power station based on the parameters of the pumped storage power station; the annual benefits of the pumped storage power station are calculated and calculated, and the annual benefits of the pumped storage power station are the sum of all the benefits, and the annual benefits of the pumped storage power station are calculated and calculated in detail by comprehensively considering the factors of the investment cost and the government subsidy of the pumped storage power station in the electric power market environment in various marketing modes, so that technical support is provided for guaranteeing the cost recovery and healthy operation of the pumped storage power station.
However, the prior art has the problem of inconvenient and comprehensive understanding of the economic benefits of pumped storage projects in different electricity price modes based on the different electricity price modes.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a pumped storage income data analysis method based on different electricity price modes, which solves the problem that the prior art is inconvenient to know the economic benefit of a pumped storage project in different electricity price modes more comprehensively based on the different electricity price modes.
In order to achieve the above purpose, the invention is realized by the following technical scheme: a pumped storage income data analysis method based on different electricity price modes comprises the following steps: acquiring cost data and return data in different electricity price modes, and calculating the return value in the different electricity price modes; calculating a balance ratio in the electricity price non-using mode based on the cost data and the return data; calculating return stability coefficients under different electricity price modes based on the return data; and calculating the income recommendation index in the non-electricity price mode based on the income value, the expense ratio and the return stability coefficient.
Further, the process of calculating the revenue recommendation index in the electricity price non-use mode based on the revenue value, the balance ratio and the return stability coefficient is as follows: reading the income value, the expense ratio and the return stability coefficient of each electricity price mode; calculating a return evaluation index based on the balance ratio and the return stability coefficient, wherein the return evaluation index is used for representing the return condition of pumped storage returns in the electricity price mode; calculating a revenue recommendation index in each electricity price mode based on the revenue value and the corresponding revenue evaluation index, wherein the calculation formula of the revenue recommendation index is as follows: Wherein RIps i is a profit recommendation index in the ith electricity price mode, reI i is a profit evaluation index in the ith electricity price mode, rv i is a profit value of pumped storage in the ith electricity price mode, and e is a natural constant.
Further, the calculation formula of the benefit evaluation index is as follows: reI i＝α1*Ieri+α2*Rsci; wherein Ier i is the balance ratio of pumped storage in the ith electricity price mode, rsc i is the return stability factor in the ith electricity price mode, α 1 is the balance ratio weight factor, α 2 is the return stability factor weight factor, and α 1+α2 =1.
Further, the cost data includes investment cost, operation cost of each operation stage, and maintenance cost of each operation stage; the return data includes government subsidy returns for different electricity price modes, the return of pumped storage participation in the auxiliary service market for each quarter, the return of pumped storage participation in the peak shaving flat valley market for each quarter, and additional returns.
Further, the calculation formula of the benefit value is as follows: Wherein GsI i is government subsidy profits in the ith electricity price mode, a=1, 2,3,..a is the number of quarters participating in the calculation of the profits value, rfam ia is the profits of the a-th quarter pumped storage participation auxiliary service market in the ith electricity price mode, rfpf ia is the profits of the a-th quarter pumped storage participation peak shaving flat valley market in the ith electricity price mode, ew i is the additional profits, ic i is the investment cost of pumped storage in the ith electricity price mode, b=1, 2,3,..b is the number of operating stages participating in the calculation of the profits value, ocop ib is the operating cost of the B-th operating stage in the ith electricity price mode, mcop ib is the maintenance cost of the B-th operating stage in the ith electricity price mode, and i is the number of the electricity price mode.
Further, the balance ratio is obtained based on the operation cost of each operation stage, the maintenance cost of each operation stage, the income of each quarter pumped storage participation auxiliary service market and the income calculation of each quarter pumped storage participation peak-to-valley regulation market, and is used for representing the ratio of the income to the cost; and the return stability coefficient is obtained based on the calculation of the return of the pumped storage participation auxiliary service market in each quarter and the return of the pumped storage participation peak shaving and valley leveling market in each quarter, and is used for representing the return stability degree under different electricity price modes.
Further, the calculation process of the balance ratio is as follows: acquiring the operation cost of each operation stage and the maintenance cost of each operation stage, and summing to acquire the operation cost; obtaining the benefits of the pumped storage participation auxiliary service market of each quarter and the benefits of the pumped storage participation peak shaving and valley leveling market of each quarter, and summing to obtain the electric sales benefits; and calculating the ratio of the income of the electric pin to the running cost, and recording the ratio as the balance ratio.
Further, the calculation formula of the balance ratio is as follows: In the method, in the process of the invention, For electric pin benefit,/>Is the running cost.
Further, the calculation process of the return stability factor is as follows: calculating the average value of the benefits of the pumped storage participating in the auxiliary service market, and recording the average value as the average value of the benefits of the auxiliary service market; calculating the average value of the benefits of the pumped storage participating in the peak shaving average valley market, and recording the average value as the average value of the benefits of the peak shaving average valley market; calculating average value of the benefits of the auxiliary service market and average value of the benefits of the pumped storage of each quarter participating in the auxiliary service market in each quarter, and average value of the benefits of the peak-shaving average value of the pumped storage of each quarter and average value of the benefits of the pumped storage of each quarter participating in the peak-shaving average market in each quarter; and calculating a return stability coefficient based on the auxiliary service market gain average value, the peak shaving average value, the auxiliary service market average value in each quarter and the peak shaving average value in each quarter.
Further, the return stability factor calculation formula is as follows: Where Pfam i is the auxiliary service market revenue average for the A quarter in the ith price pattern,/> For the average value of auxiliary service markets in each quarter, lambda 1 is a weight factor of the benefits of the auxiliary service market, pfpf i is the average value of the benefits of peak regulation and average valley market in A quarter in the ith electricity price mode, and/(I)For each quarter peak-to-valley market average difference, λ 2 is the weight factor of peak-to-valley market revenue, λ 1+λ2 =1.
An electronic device, comprising: a processor; and a memory having stored therein computer program instructions that, when executed by the processor, cause the processor to perform the pumped storage benefit data analysis method based on different electricity price patterns as described above.
A computer readable storage medium storing a program which when executed by a processor implements a pumped storage revenue data analysis method based on different electricity price patterns as described above.
The invention has the following beneficial effects:
(1) According to the pumped storage income data analysis method based on different electricity price modes, a comprehensive economic benefit analysis is provided by considering multiple aspects such as investment cost, operation cost, market income, government subsidy and the like, a decision maker is helped to comprehensively know the economic feasibility of the project, in addition, participation income of the pumped storage project in an auxiliary service market and a peak regulation and valley balance market is considered, and a model provides more comprehensive project profitability assessment through multidimensional income calculation.
(2) According to the pumped storage income data analysis method based on different electricity price modes, calculation of the return stability coefficient is introduced, the return stability of the project in the market is quantized from different angles, different operation stages, quarters, market modes and electricity price modes are considered, so that the method has certain universality and adjustability, the method is suitable for different pumped storage projects and market environments, the decision making process is simplified by integrating a plurality of parameters into a final recommendation index, and the return recommendation index can intuitively provide an integral project evaluation index for a decision maker, thereby being beneficial to making more quickly and effectively.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
FIG. 1 is a flow chart of a pumped storage income data analysis method based on different electricity price modes.
FIG. 2 is a flow chart of a process for calculating a return recommendation index based on a pumped storage return data analysis method under different electricity price modes.
FIG. 3 is a flow chart of the calculation process of the balance ratio of the pumped storage income data analysis method based on different electricity price modes.
FIG. 4 is a flow chart of a calculation process of the return stability factor based on the pumped storage income data analysis method under different electricity price modes.
Fig. 5 is a schematic structural diagram of an electronic device according to the present invention.
Detailed Description
According to the embodiment of the application, through the pumped storage income data analysis method based on different electricity price modes, a comprehensive economic benefit analysis is provided by considering multiple aspects such as investment cost, operation cost, market income, government subsidy and the like, and the problem that the prior art is inconvenient to know the economic benefit of the pumped storage project in different electricity price modes based on different electricity price modes more comprehensively is solved.
The problems in the embodiment of the application have the following general ideas:
Firstly, cost data and return data in different electricity price modes need to be acquired, and electricity price information of different areas and time periods, and cost structures and expected return data of pumped storage projects can be related. The cost data includes, but is not limited to, construction, operation and maintenance costs of the pumped-storage item, which may relate to equipment procurement, labor costs, maintenance costs, and return data including, but not limited to, expected returns of the pumped-storage item in different electricity price modes, returns relating to the auxiliary service market and peak to average valley market, and for each electricity price mode, a return value of the pumped-storage item is calculated using the cost data and the return data, the return value being measured by taking into account the difference between the costs and the returns.
And calculating the balance ratio under different electricity price modes by using the cost data and the return data, wherein the balance ratio is the ratio of return to cost, is a key index for evaluating the profitability of the project, calculates a return stability coefficient under different electricity price modes based on the return data, combines the return value, the balance ratio and the return stability coefficient, designs a comprehensive evaluation index, namely a return recommendation index, comprehensively considers factors of different aspects to provide more comprehensive project evaluation, and more comprehensively knows the advantages and disadvantages of the pumped storage project under different electricity price modes so as to make a more specific and data-based decision.
Referring to fig. 1, the embodiment of the invention provides a technical scheme: a pumped storage income data analysis method based on different electricity price modes comprises the following steps: acquiring cost data and return data under different electricity price modes, wherein the cost data comprises investment cost, operation cost of each operation stage and maintenance cost of each operation stage; the return data includes government subsidy returns for different electricity price patterns, return for the pumped storage participation auxiliary service market for each quarter, return for the pumped storage participation peak shaving valley market for each quarter, and additional returns including, but not limited to, environmental incentive returns, returns for other energy trading markets in addition to the auxiliary service market and peak shaving valley market, and technical innovation rewards, and return values for different electricity price patterns are calculated.
The investment cost can be estimated preliminarily by detailed engineering estimation including land purchase, equipment purchase, construction and the like, and the investment cost level of a typical project can be known by consulting related industry reports and existing pumped storage project cases. Operation costs and maintenance costs by analyzing the historical data, the average level of operation and maintenance costs is known.
Government subsidy profits are obtained by consulting related government documents and policies and regulations to know whether the pumped storage project has government subsidy under different electricity price modes and to obtain subsidy standards. The expected benefits of the pumped storage project in the auxiliary service market and the peak shaving valley market are known by consulting the related reports and data of the auxiliary service market and the peak shaving valley market, the historical transaction data of the pumped storage project participating in the energy transaction platform can be obtained through the energy transaction platform so as to evaluate the actual performance of the pumped storage project in the market, and in addition, the quarterly data can be obtained through the operation records of the project, including the benefits of the participating market and other key indexes.
And calculating a balance ratio under the electricity price non-using mode based on the cost data and the return data, wherein the balance ratio is obtained based on the operation cost of each operation stage, the maintenance cost of each operation stage, the income of each quarter of pumped storage participation auxiliary service market and the income calculation of each quarter of pumped storage participation peak-to-average valley market, and is used for representing the ratio of the income to the cost. The resulting balance ratio thus calculated can be used to compare the profitability of the project in different electricity price modes. If the balance is greater than 1, it means that the project is profitable under consideration of the combination of cost and return; if less than 1, it means that the project may face a deficit, wherein the operation costs include labor costs of staff payroll and related costs required for daily operation of the project, costs related to energy consumption of the project, energy costs including electricity, water resources, etc., and transportation logistics costs of transporting necessary equipment, materials, and personnel to the site; maintenance costs include periodic inspections of project equipment and systems, maintenance, service costs, costs of replacing damaged or aged components, and the like.
And calculating the return stability coefficients under different electricity price modes based on the return data, wherein the return stability coefficients are obtained based on the calculation of the return of the pumped storage participation auxiliary service market in each quarter and the return of the pumped storage participation peak-to-average valley market in each quarter, and are used for representing the return stability degree under different electricity price modes.
And calculating the income recommendation index in the non-electricity price mode based on the income value, the expense ratio and the return stability coefficient.
Specifically, as shown in fig. 2, the process of calculating the revenue recommendation index in the electricity rate-free mode based on the revenue value, the balance ratio and the return stability coefficient is as follows: reading the income value, the expense ratio and the return stability coefficient of each electricity price mode; and calculating a benefit evaluation index based on the balance ratio and the return stability coefficient, wherein the benefit evaluation index is used for representing the pumped storage benefit return condition under the electricity price mode, and the balance ratio and the return stability coefficient are comprehensively considered, so that the distribution of weights can be involved, and the influence of different indexes can be balanced more.
Calculating a revenue recommendation index in each electricity price mode based on the revenue value and the corresponding revenue evaluation index, weighting by associating the revenue value with the corresponding revenue evaluation index and introducing a natural constant, and emphasizing the importance of the revenue value in the overall recommendation, wherein the influence of the evaluation index is considered, and the calculation formula of the revenue recommendation index is as follows: Wherein RIps i is a profit recommendation index in the ith electricity price mode, reI i is a profit evaluation index in the ith electricity price mode, rv i is a profit value of pumped storage in the ith electricity price mode, and e is a natural constant.
In the present embodiment, the calculation formulaThe method has the advantages that the method plays a role in weighting, and according to the numerical value of ReI i, the Rv i is enlarged or reduced, so that the Rv i is understood as a comprehensive weighting coefficient, and the comprehensive weighting coefficient is used for comprehensively considering the income level and the overall evaluation condition of the project.
The concept of the profit recommendation index aims to comprehensively consider a plurality of indexes in different electricity price modes, emphasize economic benefit, balance and return stability of the project, enables the consideration of the indexes to be more flexible through weighting coefficients, and enables a decision maker to compare and evaluate recommendation degrees of the pumped storage project in different electricity price modes more conveniently through calculating the profit recommendation index.
Specifically, the calculation formula of the benefit evaluation index is as follows: reI i＝α1*Ieri+α2*Rsci; wherein Ier i is the balance of pumped storage in the ith electricity price mode, the surplus capacity of the project is represented, rsc i is the return stability factor in the ith electricity price mode, the fluctuation degree of the project return is represented, alpha 1 is a balance weight factor used for controlling the influence degree of the surplus ratio in the overall evaluation, alpha 2 is a return stability factor weight factor used for controlling the influence degree of the return stability in the overall evaluation, alpha 1+α2 =1, and the value of the weight factor is adjusted to balance the surplus capacity of the project and the return stability according to actual requirements so as to adapt to the preference and risk preference of different investors or decision makers.
In the embodiment, the balance ratio and the return stability coefficient are comprehensively considered, so that the economic benefit of the pumped storage project in different electricity price modes is more comprehensively evaluated, the relative importance of the balance ratio and the return stability can be flexibly adjusted according to actual demands through adjustment of the weight factors, the method adapts to the preference of different investors to different risks and benefits, in addition, each index is weighted and combined to obtain a quantized benefit evaluation index, so that a decision maker can more easily understand and compare the comprehensive performance of the project in different electricity price modes, and the advantages and disadvantages of the pumped storage project in different electricity price modes can be more comprehensively known.
The calculation formula of the profit value is as follows: Where i is the number of the price pattern, gsI i is the government subsidy benefit in the i-th price pattern, representing the subsidy provided by the government to the pumped-storage project according to the relevant policy, a=1, 2, 3..a is the number of quarters involved in the calculation of the benefit value, rfam ia is the benefit of the pumped-storage participation auxiliary service market in the a-th quarter in the i-th price pattern, rfpf ia is the benefit of the pumped-storage participation peak shaving flat market in the a-th quarter in the i-th price pattern, ew i is an additional benefit, which is partly the actual operational benefit of the project in the market considered, including participation auxiliary service market and peak shaving flat market; ic i is the investment cost of pumped-storage in the ith electricity rate mode, representing the total cost of construction and investment of the project, b=1, 2, 3.
In this embodiment, the economic benefit of the project is more comprehensively reflected by comprehensively considering government subsidies, market benefits and costs, and the calculated benefit value covers the economic benefit of the whole life cycle of the project, and in addition, the benefit value is expressed as the combination of government subsidies, market benefits and costs, so that the economic benefit of the project is more visual, is convenient to compare and evaluate with other projects, and can be adjusted and expanded according to the actual situation and the requirements of a decision maker, so as to adapt to the characteristics of different projects and environments.
Specifically, as shown in fig. 3, the calculation process of the balance ratio is as follows: the operation cost of each operation stage and the maintenance cost of each operation stage are obtained and summed to obtain the operation cost, the operation cost is necessary expense for normal operation of the system, and the sum of the operation cost and the maintenance cost can be calculated to help a manager monitor and evaluate the operation benefit; obtaining the benefits of the pumped storage in each quarter participating in the auxiliary service market and the benefits of the pumped storage in each quarter participating in the peak shaving and valley shaving market, summing to obtain the electric sales benefits, respectively calculating and summarizing the benefits of the auxiliary service market and the peak shaving and valley shaving market, and providing a quantization index of the total electric sales benefits of the system; and calculating the ratio of the income of the electric pin to the running cost, and recording the ratio as the balance ratio. By quantifying the operation cost and the electricity sales income, the economic benefit of the pumped storage project in different electricity price modes can be more intuitively known, the economic benefit of the system is reflected, and the method can be used for evaluating whether the income of the pumped storage system in the operation process can cover the related operation cost and maintenance cost.
The calculation formula of the balance ratio is as follows: In the method, in the process of the invention, For electric pin benefit,/>Is the running cost.
In this embodiment, by acquiring the operation cost and maintenance cost of each operation stage and the profits of each quarter in different markets, various aspects of the project are comprehensively considered, including the costs of the operation stage after construction and the profits brought by market participation, and by comprehensively considering the operation cost and the electric sales profits, the calculated balance can more comprehensively reflect the profitability of the project, and simultaneously, various aspects of the operation stage and the market operation are considered.
Specifically, as shown in fig. 4, the calculation process of the return stability factor is as follows: calculating the average value of the benefits of the pumped storage participating in the auxiliary service market, recording the average value as the average value of the benefits of the auxiliary service market,Calculating the average value of the benefits of the pumped storage participating in the peak shaving average valley market, and recording the average value as the average value of the benefits of the peak shaving average valley market, wherein the average value of the benefits of the pumped storage participating in the peak shaving average valley market is expressed as the average value of the benefits of the peak shaving average valley marketThe auxiliary service market gain average and the peak shaving average market gain average provide a summary of the overall performance of pumped storage in the auxiliary service market and the peak shaving average market, and help to understand the average economic benefit of the system.
Calculating average value of the benefits of the auxiliary service market and average value of the benefits of the pumped storage of each quarter participating in the auxiliary service market in each quarter, and average value of the benefits of the peak-shaving average value of the pumped storage of each quarter and average value of the benefits of the pumped storage of each quarter participating in the peak-shaving average market in each quarter; the mean difference value represents the difference between the actual revenue and the mean for each quarter, helps to capture the fluctuations between the quarters, and provides more detailed information than just the overall trend that the mean can provide.
The method comprises the steps of calculating a return stability coefficient based on an auxiliary service market gain average value, a peak shaving average value of each quarter auxiliary service market and a peak shaving average value of each quarter peak shaving average value, measuring fluctuation degree of market gain by using standard deviation of the market average value, further calculating the return stability coefficient, wherein the standard deviation represents discrete degree of data, the return stability coefficient can be represented by reciprocal of the standard deviation and used for representing relative stability of gain, and by combining the return stability of the auxiliary service market and the peak shaving average value in one comprehensive index, comprehensive assessment of the overall stability is provided, and a decision maker is allowed to better understand the performance of a pumped storage system in different markets, so that more effective operation and management strategies are formulated.
In addition, another calculation method can be adopted for reporting the stability factor, and the calculation formula of the reporting stability factor is as follows: Where Pfam i is the auxiliary service market revenue average for the A quarter in the ith price pattern,/> For the average value of auxiliary service markets in each quarter, lambda 1 is a weight factor of the benefits of the auxiliary service market, pfpf i is the average value of the benefits of peak regulation and average valley market in A quarter in the ith electricity price mode, and/(I)For peak-to-valley-peak-shaving market average difference values of each quarter, the average value of the average difference values is used as a measurement, so that extreme fluctuation of individual quarters is eliminated, evaluation of return stability is more robust, lambda 2 is a weight factor of peak-to-valley-shaving market gain, lambda 1+λ2 =1, and contribution of two markets in overall return stability can be adjusted through the weight factor so as to meet specific requirements or priorities.
The method has the advantages that the return stability of two key markets, namely the auxiliary service market and the peak-to-average valley market, is considered, more comprehensive evaluation is provided, the average difference value of the auxiliary service market and the peak-to-average valley market is considered in the calculation of the return stability coefficient by using a weighted sum, so that the importance degree of the auxiliary service market and the peak-to-average valley market can be adjusted according to actual conditions, and the average difference value of absolute values is used, so that the deviation of the market gain of each quarter relative to the mean value is considered, and the influence of positive and negative values is avoided.
In this embodiment, the larger the return stability factor is, the more stable the return fluctuation is represented, whereas the smaller the return fluctuation is, the higher the fluctuation is represented, and the return stability degree under different electricity price modes can be compared, the fluctuation condition of the market income can be known by calculating the average value and the average value of the market income, and the fluctuation among the seasons is more comprehensively considered by considering the average value of each quarter instead of the whole average value, thereby being helpful for more accurately evaluating the fluctuation of the market.
An electronic device, as shown in fig. 5, comprising: a processor; and a memory having stored therein computer program instructions that, when executed by the processor, cause the processor to perform the pumped storage revenue data analysis method based on different electricity price patterns as described above.
A computer readable storage medium storing a program which when executed by a processor implements the pumped storage benefit data analysis method based on different electricity price modes as above.
In summary, the present application has at least the following effects:
The model provides a comprehensive economic benefit analysis by considering multiple aspects such as investment cost, operation cost, market benefit, government subsidies and the like, is beneficial to a decision maker to comprehensively understand the economic feasibility of the project, additionally considers the participation benefits of the pumped storage project in the auxiliary service market and peak shaving valley market, and provides a more comprehensive project profitability evaluation by multidimensional benefit calculation.
The calculation of the return stability coefficient is introduced, the return stability of the project in the market is quantized from different angles, and different operation stages, quarters, market modes and electricity price modes are considered, so that the system has certain universality and adjustability, is suitable for different pumped storage projects and market environments, simplifies the decision making process by integrating a plurality of parameters into a final recommendation index, and can intuitively provide an index for overall evaluation of the project for a decision maker, thereby being beneficial to making decisions more quickly and effectively.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of systems, apparatuses (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. The pumped storage income data analysis method based on different electricity price modes is characterized by comprising the following steps of:
acquiring cost data and return data in different electricity price modes, and calculating the return value in the different electricity price modes;
calculating a balance ratio in the electricity price non-using mode based on the cost data and the return data;
calculating return stability coefficients under different electricity price modes based on the return data;
And calculating the income recommendation index in the non-electricity price mode based on the income value, the expense ratio and the return stability coefficient.
2. The pumped storage gain data analysis method based on different electricity price modes according to claim 1, wherein the process of calculating the gain recommendation index in the electricity price-free mode based on the gain value, the balance ratio and the return stability coefficient is as follows:
reading the income value, the expense ratio and the return stability coefficient of each electricity price mode;
calculating a return evaluation index based on the balance ratio and the return stability coefficient, wherein the return evaluation index is used for representing the return condition of pumped storage returns in the electricity price mode;
calculating a revenue recommendation index in each electricity price mode based on the revenue value and the corresponding revenue evaluation index, wherein the calculation formula of the revenue recommendation index is as follows:
Wherein RIps i is a profit recommendation index in the ith electricity price mode, reI i is a profit evaluation index in the ith electricity price mode, rv i is a profit value of pumped storage in the ith electricity price mode, and e is a natural constant.
3. The pumped storage gain data analysis method based on different electricity price modes according to claim 2, wherein the calculation formula of the gain evaluation index is as follows:
ReIi＝α1*Ieri+α2*Rsci；
Wherein Ier i is the balance ratio of pumped storage in the ith electricity price mode, rsc i is the return stability factor in the ith electricity price mode, α 1 is the balance ratio weight factor, α 2 is the return stability factor weight factor, and α 1+α2 =1.
4. A pumped storage revenue data analysis method based on different electricity price modes according to claim 3, characterized in that: the cost data comprises investment cost, operation cost of each operation stage and maintenance cost of each operation stage;
The return data includes government subsidy returns for different electricity price modes, the return of pumped storage participation in the auxiliary service market for each quarter, the return of pumped storage participation in the peak shaving flat valley market for each quarter, and additional returns.
5. The pumped storage gain data analysis method based on different electricity price modes according to claim 4, wherein the calculation formula of the gain value is as follows:
Wherein GsI i is government subsidy profits in the ith electricity price mode, a=1, 2,3,..a is the number of quarters participating in the calculation of the profits value, rfam ia is the profits of the a-th quarter pumped storage participation auxiliary service market in the ith electricity price mode, rfpf ia is the profits of the a-th quarter pumped storage participation peak shaving flat valley market in the ith electricity price mode, ew i is the additional profits, ic i is the investment cost of pumped storage in the ith electricity price mode, b=1, 2,3,..b is the number of operating stages participating in the calculation of the profits value, ocop ib is the operating cost of the B-th operating stage in the ith electricity price mode, mcop ib is the maintenance cost of the B-th operating stage in the ith electricity price mode, and i is the number of the electricity price mode.
6. The pumped storage income data analysis method based on different electricity price modes as claimed in claim 5, wherein: the balance ratio is obtained based on the operation cost of each operation stage, the maintenance cost of each operation stage, the income of the pumped storage participation auxiliary service market of each quarter and the income calculation of the pumped storage participation peak-shaving valley-shaving market of each quarter, and is used for representing the ratio of the income to the cost;
And the return stability coefficient is obtained based on the calculation of the return of the pumped storage participation auxiliary service market in each quarter and the return of the pumped storage participation peak shaving and valley leveling market in each quarter, and is used for representing the return stability degree under different electricity price modes.
7. The pumped storage income data analysis method based on different electricity price modes as claimed in claim 6, wherein the calculation process of the balance ratio is as follows:
Acquiring the operation cost of each operation stage and the maintenance cost of each operation stage, and summing to acquire the operation cost;
obtaining the benefits of the pumped storage participation auxiliary service market of each quarter and the benefits of the pumped storage participation peak shaving and valley leveling market of each quarter, and summing to obtain the electric sales benefits;
and calculating the ratio of the income of the electric pin to the running cost, and recording the ratio as the balance ratio.
8. The pumped storage income data analysis method based on different electricity price modes as claimed in claim 7, wherein the balance ratio calculation formula is as follows:
In the method, in the process of the invention, For electric pin benefit,/>Is the running cost.
9. The method for analyzing pumped storage gain data based on different electricity price modes according to claim 8, wherein the calculation process of the return stability coefficient is as follows:
calculating the average value of the benefits of the pumped storage participating in the auxiliary service market, and recording the average value as the average value of the benefits of the auxiliary service market;
Calculating the average value of the benefits of the pumped storage participating in the peak shaving average valley market, and recording the average value as the average value of the benefits of the peak shaving average valley market;
Calculating average value of the benefits of the auxiliary service market and average value of the benefits of the pumped storage of each quarter participating in the auxiliary service market in each quarter, and average value of the benefits of the peak-shaving average value of the pumped storage of each quarter and average value of the benefits of the pumped storage of each quarter participating in the peak-shaving average market in each quarter;
And calculating a return stability coefficient based on the auxiliary service market gain average value, the peak shaving average value, the auxiliary service market average value in each quarter and the peak shaving average value in each quarter.
10. The pumped storage gain data analysis method based on different electricity price modes according to claim 9, wherein the return stability coefficient calculation formula is as follows:
Where Pfam i is the auxiliary service market revenue average for the A quarters in the ith electricity price mode, For the average value of auxiliary service markets in each quarter, lambda 1 is a weight factor of the benefits of the auxiliary service market, pfpf i is the average value of the benefits of peak regulation and average valley market in A quarter in the ith electricity price mode, and/(I)For each quarter peak-to-valley market average difference, λ 2 is the weight factor of peak-to-valley market revenue, λ 1+λ2 =1. /(I)
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