CN111882146A - Expense allocation method and calculation equipment for thermal power unit transformation - Google Patents
Expense allocation method and calculation equipment for thermal power unit transformation Download PDFInfo
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Abstract
The invention provides a method for allocating the cost of thermal power unit transformation, which comprises the following steps: acquiring basic data, wherein the basic data comprises unit installed capacity, new energy field online electricity price, unit output upper limit before modification, unit output lower limit before modification, unit output upper limit after modification, unit output lower limit after modification and unit comprehensive power generation cost; and collecting information data of the unit output in a period lower than the lower limit of the unit output before modification by taking the year as a period, wherein the information data comprises the average node electricity price of the node where the unit is located, the photovoltaic accumulated online electricity quantity and the wind power accumulated online electricity quantity. And calculating the cost of the thermal power generating unit and the total cost of the new energy field according to the basic data and the information data. The method and the device can determine the cost level of the unit based on the benefit increase degree of the new energy grid-connected electricity quantity to the new energy field when the actual output of the unit is lower than the lower limit output before modification, and reasonably return the efficiency created by the unit modification to the thermal power unit.
Description
Technical Field
The present disclosure relates to data processing technologies applicable to power scheduling, and in particular, to a method for allocating modified costs of a thermal power generating unit, a readable storage medium, and a computing device.
Background
With the explosion of a new round of energy revolution, the development of renewable energy and the continuous increase of clean energy consumption become common knowledge of all countries in the world. The promotion of the development of wind power and photovoltaic power generation is a strong direction for the development of green energy in China. The installation of new energy (wind power and photovoltaic) in China is continuously rising, and the contradiction between the operation flexibility of a power grid and the sufficiency of the electric power and the electric quantity of the new energy is highlighted, namely the problem of new energy consumption is possibly gradually highlighted.
The method has the advantages that the contradiction between 'electricity utilization by heat' and new energy consumption can be relieved on the premise of fully ensuring the safe and stable operation of the power grid through the flexible modification of the thermal power generating unit, the modification effect is good, the cost performance is high, and the period is short. Therefore, the flexibility improvement of the thermal power generating unit is developed at the present stage, and the method is an economic and reasonable technical means for solving the problem of insufficient operation flexibility of the power grid. Meanwhile, the necessity of thermal power flexibility improvement is embodied in laying a foundation for solving the problem of new energy consumption through a market mechanism in the future and providing important technical support.
At present, related researches on an excitation mechanism for flexibility modification of a thermal power generating unit in a power grid range (particularly, a power grid with obvious insufficient flexibility regulation capacity and obvious wind-heat contradiction in a heating period) are lacked. With the increasing of the installed scale of new energy fields (stations) of power grids in various regions, the problem of insufficient clean energy consumption and power grid flexibility regulation capacity is gradually highlighted, and the contradiction between the operation mode of the power grid for fixing the power with heat and the new energy consumption is more and more prominent, so that a thermal power unit flexibility modification excitation mechanism is urgently needed, and on the basis of ensuring the equivalence of responsibility rights between the thermal power unit and the new energy fields (stations), the thermal power unit is fully excited to fully excavate the peak regulation potential so as to deal with the new state of the power grid in the future.
Disclosure of Invention
In order to solve or at least alleviate at least one of the above technical problems, the present disclosure provides a cost sharing method for thermal power plant modification, a readable storage medium and a computing device.
According to one aspect of the disclosure, a cost sharing method for thermal power unit transformation comprises the following steps:
acquiring basic data, wherein the basic data comprises unit installed capacity, new energy field online electricity price, unit output upper limit before modification, unit output lower limit before modification, unit output upper limit after modification, unit output lower limit after modification and unit comprehensive power generation cost;
collecting information data of the unit output in a period lower than the lower limit of the unit output before modification by taking the year as a period, wherein the information data comprises the average node electricity price of the node where the unit is located, the photovoltaic accumulated internet electricity quantity and the wind power accumulated internet electricity quantity; and
and calculating the cost of the thermal power generating unit and the total cost of the new energy field according to the basic data and the information data.
According to at least one embodiment of the disclosure, calculating the thermal power generating unit cost and the total split cost of the new energy source field according to the basic data and the information data comprises:
the thermal power generating unit cost is obtained by the following formula,
wherein, Chargecap,iRepresenting the thermal power unit cost, Cap, of the year iiFor the installed capacity of the unit in the i year, PmaxFor the upper limit of output of the unit after modification, PminIs a lower limit of output of the unit after reconstruction, P'maxFor the upper limit of output of the pre-reforming unit, P'minThe lower limit of the output of the machine set before the transformation. t is tiThe output of the unit in the ith year is less than the lower limit of the output of the unit before modification; eta is a transformation benefit contribution coefficient of the transformed unit; and lambda is the market profit level of the electric energy for modifying the unit.
According to at least one embodiment of the present disclosure, the transformation benefit contribution coefficient η of the transformed unit is obtained by the following formula,
wherein a is the serial number of the time period when the output of the unit in the ith year is less than the lower limit of the output of the unit before modification, and A is the total number of the time periods when the output of the unit in the ith year is less than the lower limit of the output of the unit before modification; priceaThe unit on-line electricity price in the a-th time period formed by market competition, Cost is the comprehensive generation Cost of the unit, PwFor wind power price, PpThe photovoltaic internet price; qwAccumulating the wind power on-grid electricity quantity Q in the time period that the output of the set is less than the lower limit of the output of the set before modificationpAnd accumulating the photovoltaic accumulated on-grid electricity quantity in a time period when the unit output is smaller than the lower limit of the unit output before modification.
According to at least one embodiment of the present disclosure, the time interval is 15 minutes, and the electric energy market profit level λ of the modified unit is obtained by the following formula:
wherein, PricejThe unit internet surfing electricity price of the jth time period formed for market competition; cost is the comprehensive power generation Cost of the unit.
According to at least one embodiment of the present disclosure, the total cost of the new energy farm is obtained by the following formula,
ChargeNE,i＝Chargecap,i
wherein, ChargeNE,iRepresenting the total cost of the new energy field apportionment in the ith year; chargecap,iRepresenting the thermal power unit cost of the ith year.
According to at least one embodiment of the present disclosure, calculating the thermal power generating unit cost and the total new energy field sharing cost according to the basic data and the information data further includes:
distributing the total cost of the new energy field to a single new energy field, wherein the cost of the single new energy field is obtained by the following formula,
wherein m is the serial number of a single new energy field, Chargem,iApportioning the cost, Q, for a single new energy field with the number m of the year iNE,m,iThe total on-grid electricity quantity, sigma Q, of a single new energy field with the serial number m during the period that the output of the unit is lower than the lower limit of the output of the unit before modification in the ith yearNE,iAnd the total online electricity quantity of all the new energy fields is the total online electricity quantity of the unit output in the ith year during the period that the unit output is lower than the lower limit of the unit output before modification.
According to at least one embodiment of the disclosure, collecting information data of the unit output during the period lower than the pre-reconstruction unit output lower limit by taking the year as a period comprises the following steps:
s201, initializing days;
s202, initializing the number of time segments;
s203, updating the average node electricity price of the node where the unit is located;
s204, judging whether the output of the unit is lower than the lower limit of the output of the unit before modification in the current days and current time interval; if yes, executing S205; if not, executing S206;
s205, updating and collecting information data of a time period when the output of the unit is lower than the lower limit of the output of the unit before modification;
s206, judging whether the number of the current time segments is less than the maximum number of the time segments in 1 day; if yes, executing S207; if not, executing S208;
s207, increasing the time interval number by 1; returning to execute S203;
s208, increasing the number of days by 1;
s209, judging whether the current days are less than the maximum days in 1 year; if yes, returning to execute S202; and if not, calculating the cost of the thermal power generating unit and the cost of the new energy field according to the basic data and the information data.
According to at least one embodiment of the present disclosure, 1 day is divided into 96 periods.
According to another aspect of the disclosure, a readable storage medium has stored therein execution instructions for implementing the method of any one of the preceding claims when executed by a processor.
According to yet another aspect of the disclosure, a computing device, the device comprising:
a memory storing execution instructions; and
a processor executing execution instructions stored by the memory to cause the processor to perform the method of any of the preceding claims.
Compared with the prior art, the cost allocation method disclosed by the invention has the advantages that the calculated cost and the total allocated cost of the new energy field are not only based on the basic data of the installed capacity of the unit, the grid-connected electricity price of the new energy field, the upper output limit of the unit before modification, the lower output limit of the unit before modification, the upper output limit of the unit after modification, the lower output limit of the unit after modification and the comprehensive power generation cost of the unit, but also based on the collected information data of the average node electricity price of the node where the unit is located, the photovoltaic accumulated grid-connected electricity quantity and the wind power accumulated grid-connected electricity quantity, the cost level of the unit can be determined based on the benefit increase degree of the new energy grid-connected electricity quantity to the new energy field when the actual output of the unit is lower than the. The responsibility between the thermal power generating unit and the new energy field is fully considered, the thermal power generating unit is fully stimulated to actively carry out modification work, and more peak regulation efficiencies are created. In addition, on the aspect of calculation efficiency, the calculation mode of the method is simple, calculation can be realized only by adopting original data such as price signals formed by stock market clearing, the required calculation amount and storage amount are not large, and the method can be integrated into a technical support system as a system module.
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The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the disclosure and together with the description serve to explain the principles of the disclosure.
FIG. 1 is a schematic flow diagram of an exemplary embodiment of a disclosed cost sharing method.
FIG. 2 is a schematic flow diagram of another exemplary embodiment of the disclosed cost apportionment method.
FIG. 3 is a schematic block diagram of an exemplary embodiment of a computing device of the present disclosure.
Detailed Description
The present disclosure will be described in further detail with reference to the drawings and embodiments. It is to be understood that the specific embodiments described herein are for purposes of illustration only and are not to be construed as limitations of the present disclosure. It should be further noted that, for the convenience of description, only the portions relevant to the present disclosure are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
In order to encourage the thermal power generating unit to further develop the regulation capability, actively participate in peak regulation according to a scheduling instruction in the heat supply period and other periods such as the period of large power generation period of new energy and the like in which the contradiction between the regulation capability of the thermal power generating unit and the consumption of the new energy on the grid is prominent, and the full consumption of renewable energy is realized, the invention provides a thermal power generating unit transformation incentive mechanism based on benefit creation. The excitation mechanism can determine the cost level of the unit based on the benefit increase degree of the new energy grid-connected electricity quantity to the new energy field (station) when the actual output of the unit (the unit in the disclosure refers to a thermal power unit) is lower than the output lower limit period of the unit before modification, and reasonably returns the efficiency created by the unit modification to the thermal power unit.
According to one aspect of the disclosure, referring to a flow diagram of an exemplary embodiment of a cost sharing method of the disclosure shown in fig. 1, a cost sharing method of thermal power plant transformation includes:
and S10, acquiring basic data, wherein the basic data comprises unit installed capacity, new energy field online electricity price, unit output upper limit before modification, unit output lower limit before modification, unit output upper limit after modification, unit output lower limit after modification and unit comprehensive power generation cost.
And S20, collecting information data of the unit output in a period lower than the lower limit of the unit output before transformation by taking the year as a period, wherein the information data comprises the average node electricity price of the node where the unit is located, the photovoltaic accumulated on-grid electricity quantity and the wind power accumulated on-grid electricity quantity.
In the power dispatching process of the power grid, the actual output of the thermal power generating unit after being transformed changes along with peak shaving, the actual output of the thermal power generating unit in some time periods is larger than or equal to the lower limit of the output of the thermal power generating unit before being transformed, the actual output of the thermal power generating unit in some time periods is smaller than the lower limit of the output of the thermal power generating unit before being transformed, the reduced benefit under the condition that the actual output of the thermal power generating unit is smaller than the lower limit of the output of the thermal power generating unit before being transformed needs to be carried out by the method, and the transformation cost of the. The method is characterized in that settlement of cost and apportioned cost is carried out once every year, and information data of the period that the unit output (actual output of the unit) in the year is lower than the lower limit of the unit output before modification, the average node electricity price of the node where the unit is located, the photovoltaic accumulated internet electricity quantity and the wind power accumulated internet electricity quantity in the period are counted and recorded.
And S30, calculating the thermal power generating unit cost and the total split cost of the new energy source field according to the basic data and the information data. The basic data and the information data comprise basic information of the thermal power generating unit, operation information before and after unit transformation, information of a new energy field and price data, and the efficiency created by unit transformation can be reasonably returned to the thermal power generating unit by calculating the cost of the thermal power generating unit and the total cost shared by the new energy field.
The cost sharing method disclosed by the invention is based on basic data of unit installed capacity, new energy field online electricity price, unit output upper limit before modification, unit output lower limit before modification, unit output upper limit after modification, unit output lower limit after modification and unit comprehensive power generation cost, and information data of unit output in a period lower than the unit output lower limit before modification of average node electricity price of a node where the unit is located, photovoltaic accumulated online electricity and wind power accumulated online electricity, the cost of the thermal power generating unit and the total cost shared by the new energy field are calculated, and the full excitation of thermal power generating unit modification is realized: on one hand, the excitation level is related to the time length that the actual output of the thermal power generating unit is lower than the lower limit of the output before modification, so that the thermal power generating unit is fully excited to actively provide peak shaving service, and the modification efficiency is fully exerted; on one hand, the excitation level is related to the improvement of the adjusting capacity of the thermal power generating unit before and after the unit transformation, the mining potential of the thermal power generating unit is fully excited, and the performance of the unit is improved; on the other hand, the investment of the unit is not considered in the excitation level, so that a power generation enterprise actively selects a reasonable economic transformation technical means, and the asset risk and the operation risk of a power grid of the power generation enterprise are reduced. On the aspect of calculation efficiency, the calculation mode of the method is simple, calculation can be achieved only by using original data such as price signals formed by spot market clearing, the required calculation amount and storage amount are not large, and the method can be integrated into a technical support system as a system module.
In one embodiment of the disclosure, the step of calculating the thermal power generating unit cost and the total split cost of the new energy source field according to the basic data and the information data comprises the following steps:
the thermal power unit cost can be calculated by the following formula,
wherein, Chargecap,iRepresenting the thermal power unit cost, Cap, of the year iiFor the installed capacity of the unit in the i year, PmaxFor the upper limit of output of the unit after modification, PminIs a lower limit of output of the unit after reconstruction, P'maxFor the upper limit of output of the pre-reforming unit, P'minThe lower limit of the output of the machine set before the transformation. t is tiThe output of the unit in the ith year is less than the lower limit of the output of the unit before modification; eta is a transformation benefit contribution coefficient of the transformed unit; and lambda is the market profit level of the electric energy for modifying the unit.
The lower the output limit of the improved unit, PminThe smaller is the product of formula (P'min-Pmin) The larger. The adjusting range of the modified unit is (P)max-Pmin) The regulation range of the pre-modification unit is (P'max-P′min). Therefore, the larger the adjustment range of the modified unit is increased,
the larger the (average value). Therefore, the lower the output lower limit of the modified unit is, the larger the adjusting range is, the larger the reward cost of the thermal power generating unit is. The improved reward level fully considers the performances of the lower limit of the output power of the unit, the adjusting range and the like, and fully embodies the peak regulation capacity and technical indexes of the unit.
Further, the transformation benefit contribution coefficient eta of the transformed unit can be obtained by the following formula,
wherein a is the serial number of the time period when the output of the unit in the ith year is less than the lower limit of the output of the unit before modification, and A is the total number of the time periods when the output of the unit in the ith year is less than the lower limit of the output of the unit before modification; that is, a is a time period when the output of the first unit in the year is smaller than the lower limit of the output of the pre-reconstruction unit, and a is a time period when the output of the total units in the year is smaller than the lower limit of the output of the pre-reconstruction unit. PriceaThe unit on-line electricity price in the a-th time period formed by market competition, Cost is the comprehensive generation Cost of the unit, PwFor wind power price, PpThe photovoltaic internet price; qwAccumulating the wind power on-grid electric quantity in a time period when the output of the unit is smaller than the lower limit of the output of the unit before modification，QpAnd accumulating the photovoltaic accumulated on-grid electricity quantity in a time period when the unit output is smaller than the lower limit of the unit output before modification.
Therefore, the improvement benefit contribution coefficient eta of the improved unit is the ratio of the comprehensive internet surfing price of the wind power and the photovoltaic power and the electricity consumption profit formed by the unit through a market mechanism.
Further, the period length is set to 15 minutes (since the electric power spot transaction settlement is performed in accordance with forming an electricity price every 15 minutes), that is, 1 hour is divided into 4 periods, and 1 year is calculated in accordance with 365 days, so that the total number of periods in 1 year is 8760 × 4. The electric energy market profit level lambda of the modified unit can be obtained by the following formula:
wherein, PricejThe unit internet surfing electricity price of the jth time period formed for market competition; cost is the comprehensive power generation Cost of the unit.
In one embodiment of the present disclosure, the total cost of the new energy farm may be obtained by the following formula,
ChargeNE,i＝Chargecap,i
wherein, ChargeNE,iRepresenting the total cost of the new energy field apportionment in the ith year; chargecap,iRepresenting the thermal power unit cost of the ith year. That is, the cost of the thermal power generating unit is completely converted into the total cost of the new energy field. The new energy field consumes more electric quantity due to the transformation of the thermal power generating unit, so that benefit is increased for the new energy field, the benefit of the thermal power generating unit is reduced, and the increased benefit is paid to a power generation enterprise by the new energy field.
Further, calculating the thermal power generating unit cost and the total new energy field sharing cost according to the basic data and the information data further comprises:
distributing the total cost of the new energy field to a single new energy field, wherein the cost of the single new energy field is obtained by the following formula,
wherein m is the serial number of a single new energy field, Chargem,iApportioning the cost, Q, for a single new energy field with the number m of the year iNE,m,iThe total on-grid electricity quantity, sigma Q, of a single new energy field with the serial number m during the period that the output of the unit is lower than the lower limit of the output of the unit before modification in the ith yearNE,iAnd the total online electricity quantity of all the new energy fields is the total online electricity quantity of the unit output in the ith year during the period that the unit output is lower than the lower limit of the unit output before modification.
The new energy field comprises a single new energy field with different types and a plurality of quantities of wind power and photovoltaic, and how to distribute the total shared cost of the new energy field to the single new energy field is the aspect of capacity cost sharing.
In one embodiment of the present disclosure, referring to a schematic flow chart of another exemplary embodiment of the cost sharing method of the present disclosure shown in fig. 2, the step of collecting information data of the unit capacity during the period of being lower than the lower limit of the unit capacity before modification in an annual period includes:
s201, initializing days; for example, the initial value of the number of days n is assigned to 1.
S202, initializing the number of time segments; wherein, 1 day is set and divided into a plurality of time intervals; for example, the initial value of the time segment number j is assigned to 1.
S203, updating the average node electricity price of the node where the unit is located; the average node electricity price of the node where the unit is located is updated to the average node electricity price of the current number of days and the current time period number, and if the average node electricity price is not changed, the updated average node electricity price is equivalently kept unchanged. The node electricity price is a market pricing mechanism, and buyers and sellers in the electric power wholesale market form market clearing price and transaction amount on the basis of providing quoted prices. A node is a location in a power transmission network where a power plant, a power consumer or a substation is located. The node electricity price refers to the electric energy price which is not uniform along with the difference of nodes or positions. The node electricity price is the electricity price of the electricity sold by the power plant, such as 0.30 yuan for one-degree electricity. The node electricity price is also the price of power supplier or large user for purchasing power, and the level is determined according to the short-term marginal cost of power supply of each node. In particular, in certain operating conditions of the grid, the node increases the unit consumption of electrical energy resulting in an overall increased cost of the grid and the power plant. The node electricity price is formed based on factors such as price quoted by sellers of various power generators, price quoted by demands of various power suppliers and large users, power consumption prediction of the price quoted without the demands, the running state and blocking condition of the power grid and the like, and is a result of the combined action of market pricing and power grid technical constraints. The node electricity price is mainly the electric energy trading price in the competitive electric power wholesale market. The average node electricity price is an average value of node electricity prices of all time periods in 1 year (for example, 365 days), 365 days × 24 hours × 4 time periods in one year are 8760 × 4 time periods, and after each time of change to a new time period, the node electricity price of the time period is taken into consideration to update the average node electricity price iteratively. For example, the calculated average node electricity price is an average value of the last period of 1 month and 1 day, and when the node electricity price of the first period of 1 month and 2 days is formed, the node electricity price of the first period is taken into account, and the average node electricity price value of 1 month and 1 day is dynamically updated. This continues until the last 12 months and 31 days, and after considering the node electricity prices for all 8760 by 24 periods, an average node electricity price for the year is formed.
S204, judging whether the output of the unit is lower than the lower limit of the output of the unit before modification in the current days and current time interval; if yes, executing S205; if not, S206 is performed. Monitoring the unit output (actual unit output) in each time interval to judge whether the unit output is lower than the lower limit of the unit output before modification; if the output of the unit in the day and the time period is greater than or equal to the lower limit of the output of the unit before modification, only increasing the number of the time periods without updating data; otherwise, the number of time segments is increased after the data is updated.
And S205, updating and collecting information data of the time period when the unit output is lower than the lower limit of the unit output before modification. Once the output of the unit is detected to be lower than the lower limit of the output of the unit before modification, the time interval is marked, the number of the marked time intervals when the output of the unit is lower than the lower limit of the output of the unit before modification, and information data of average node electricity price, photovoltaic accumulated internet electricity quantity and wind electricity accumulated internet electricity quantity of the node where the unit is located are updated, and the data are collected (recorded) so as to carry out annual statistics.
S206, judging whether the number of the current time segments is less than the maximum number of the time segments in 1 day; if yes, executing S207; if not, S208 is performed. Alternatively, 1 hour is typically divided into 4 periods, i.e., the maximum number of periods in 1 day is 96.
S207, increasing the time interval number by 1; returning to execute S203; the new time period is entered and the process returns to step S203 to be executed again. That is, if the number of slots is not greater than the maximum number of slots on the day, the number of slots is increased by 1, and the process returns to step S203 to be repeatedly executed. And if the time interval number is larger than or equal to the maximum time interval number of the day, the time interval number is skipped, the number of days is added by 1, and the circulation of the next day is started.
S208, increasing the number of days by 1; new days are entered.
S209, judging whether the current days are less than the maximum days in 1 year; if yes, returning to execute S202; and if not, calculating the cost of the thermal power generating unit and the cost of the new energy field according to the basic data and the information data. The method can be executed for 365 days in 1 year, and can also be executed for 365 days in an annual year and 366 days in a leap year. That is, if the current day does not exceed 365 days (or leap year is 366 days), the process returns to step S202 to repeat the cycle of days, the period is initialized to 1, and the cycle starts from the 1 st period; and if the current days are more than or equal to 365 days (or the leap year is 366 days), completing the statistics of all the time intervals in the whole year, and starting to calculate the thermal power generating unit cost and the new energy field sharing cost.
In summary, the factors considered by the present disclosure mainly include: basic information of the thermal power generating unit, such as installed capacity of the unit for carrying out reconstruction; the unit transformation conditions, such as the upper limit of the unit output before transformation, the lower limit of the unit output before transformation, the upper limit of the unit output after transformation and the lower limit of the unit output after transformation; the unit running condition, for example, the time length that the unit output is less than the lower limit of the unit output before modification; new energy field data, such as installed capacity of all new energy fields, unit output less than the lower limit period of unit output before modification, wind power on-grid electricity quantity and photovoltaic on-grid electricity quantity, wind power on-grid electricity quantity all the year around, photovoltaic on-grid electricity quantity all the year around; price data such as the annual average node price of the node where the unit is located, the average node price of the node where the unit is located when the unit output is smaller than the lower limit of the unit output before modification, the integrated power generation cost of the unit, and the annual integrated power selling price of a power grid company. The method can increase the benefit increase degree of new energy grid-connected electricity to a new energy field according to the improvement of the thermal power generating unit, and determine the cost level of the unit. The source that the transformation unit obtained is the contribution of unit, and the unit contribution is big more, and the transformation level is higher, accords with the principle of "who provides, who benefits", can fully arouse generating set to develop the initiative of reforming, has important engineering value. On the premise of guaranteeing safe and stable operation of a power grid, the thermal power generating unit is fully excited to excavate a peak regulation space, the initiative and the enthusiasm of the unit and the power grid regulation capacity are improved, and the contradiction between 'fixing the power with heat' and renewable energy consumption is relieved. And the fairness and the transparency of benefit distribution are fully guaranteed through a reasonable unbalanced cost sharing mechanism.
According to another aspect of the present disclosure, referring to a structural schematic diagram of an exemplary embodiment of a computing device of the present disclosure shown in fig. 3, the present disclosure provides a codestream data processing device, including: a communication interface 1000, a memory 2000, and a processor 3000. The communication interface 1000 is used for communicating with an external device and performing data interactive transmission. The memory 2000 has stored therein a computer program that is executable on the processor 3000. The processor 3000 implements the method in the above-described embodiments when executing the computer program. The number of the memory 2000 and the processor 3000 may be one or more.
The memory 2000 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.
If the communication interface 1000, the memory 2000 and the processor 3000 are implemented independently, the communication interface 1000, the memory 2000 and the processor 3000 may be connected to each other through a bus to complete communication therebetween. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not represent only one bus or one type of bus.
Optionally, in a specific implementation, if the communication interface 1000, the memory 2000, and the processor 3000 are integrated on a chip, the communication interface 1000, the memory 2000, and the processor 3000 may complete communication with each other through an internal interface.
The present disclosure also provides a readable storage medium having stored therein execution instructions, which when executed by a processor, are used to implement the cost apportionment method of any of the foregoing embodiments.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present disclosure includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the implementations of the present disclosure. The processor performs the various methods and processes described above. For example, method embodiments in the present disclosure may be implemented as a software program tangibly embodied in a machine-readable medium, such as a memory. In some embodiments, some or all of the software program may be loaded and/or installed via memory and/or a communication interface. When the software program is loaded into memory and executed by a processor, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the processor may be configured to perform one of the methods described above by any other suitable means (e.g., by means of firmware).
The logic and/or steps represented in the flowcharts or otherwise described herein may be embodied in any readable storage medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.
For the purposes of this description, a "readable storage medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the readable storage medium include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable read-only memory (CDROM). In addition, the readable storage medium may even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in the memory.
It should be understood that portions of the present disclosure may be implemented in hardware, software, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on data information, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps of the method implementing the above embodiments may be implemented by hardware instructions associated with a program, which may be stored in a readable storage medium, and when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present disclosure may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a separate product, may also be stored in a readable storage medium. The storage medium may be a read-only memory, a magnetic or optical disk, or the like.
In the description herein, reference to the description of the terms "one embodiment/mode," "some embodiments/modes," "example," "specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment/mode or example is included in at least one embodiment/mode or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to be the same embodiment/mode or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments/modes or examples. Furthermore, the various embodiments/aspects or examples and features of the various embodiments/aspects or examples described in this specification can be combined and combined by one skilled in the art without conflicting therewith.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
It will be understood by those skilled in the art that the foregoing embodiments are merely for clarity of illustration of the disclosure and are not intended to limit the scope of the disclosure. Other variations or modifications may occur to those skilled in the art, based on the foregoing disclosure, and are still within the scope of the present disclosure.
Claims (10)
1. A method for allocating the cost of the reformation of a thermal power generating unit is characterized by comprising the following steps:
acquiring basic data, wherein the basic data comprises unit installed capacity, new energy field online electricity price, unit output upper limit before modification, unit output lower limit before modification, unit output upper limit after modification, unit output lower limit after modification and unit comprehensive power generation cost;
collecting information data of the unit output in a period lower than the lower limit of the unit output before modification by taking the year as a period, wherein the information data comprises the average node electricity price of the node where the unit is located, the photovoltaic accumulated internet electricity quantity and the wind power accumulated internet electricity quantity; and
and calculating the cost of the thermal power generating unit and the total cost of the new energy field according to the basic data and the information data.
2. The method of claim 1, wherein calculating a thermal power plant cost and a total new energy farm split cost based on the base data and the information data comprises:
the thermal power generating unit cost is obtained by the following formula,
wherein, Chargecap,iRepresenting the thermal power unit cost, Cap, of the year iiFor the ith year unit' installed capacity, PmaxFor transformation ofUpper limit of output of rear machine set, PminIs a lower limit of output of the unit after reconstruction, P'maxFor the upper limit of output of the pre-reforming unit, P'minThe lower limit of the output of the machine set before the transformation. t is tiThe output of the unit in the ith year is less than the lower limit of the output of the unit before modification; eta is a transformation benefit contribution coefficient of the transformed unit; and lambda is the market profit level of the electric energy for modifying the unit.
3. The cost sharing method according to claim 2, wherein the improvement benefit contribution coefficient η of the improvement unit is obtained by the following formula,
wherein a is the serial number of the time period when the output of the unit in the ith year is less than the lower limit of the output of the unit before modification, and A is the total number of the time periods when the output of the unit in the ith year is less than the lower limit of the output of the unit before modification; priceaThe unit on-line electricity price in the a-th time period formed by market competition, Cost is the comprehensive generation Cost of the unit, PwFor wind power price, PpThe photovoltaic internet price; qwAccumulating the wind power on-grid electricity quantity Q in the time period that the output of the set is less than the lower limit of the output of the set before modificationpAnd accumulating the photovoltaic accumulated on-grid electricity quantity in a time period when the unit output is smaller than the lower limit of the unit output before modification.
4. A method for apportioning costs according to claim 3, wherein said period is 15 minutes, and the electric energy market profit level λ of the modified plant is obtained by the following equation:
wherein, PricejThe unit internet surfing electricity price of the jth time period formed for market competition; cost is the comprehensive power generation Cost of the unit.
5. The cost sharing method of claim 2 wherein the new energy source site shares the total cost by the following formula,
ChargeNE,i＝Chargecap,i
wherein, ChargeNE,iRepresenting the total cost of the new energy field apportionment in the ith year; chargecap,iRepresenting the thermal power unit cost of the ith year.
6. The method for apportioning costs according to claim 5, wherein calculating the thermal power generating unit costs and the total new energy farm apportionment costs based on the base data and the information data further comprises:
distributing the total cost of the new energy field to a single new energy field, wherein the cost of the single new energy field is obtained by the following formula,
wherein m is the serial number of a single new energy field, Chargem,iApportioning the cost, Q, for a single new energy field with the number m of the year iNE,m,iThe total on-grid electricity quantity, sigma Q, of a single new energy field with the serial number m during the period that the output of the unit is lower than the lower limit of the output of the unit before modification in the ith yearNE,iAnd the total online electricity quantity of all the new energy fields is the total online electricity quantity of the unit output in the ith year during the period that the unit output is lower than the lower limit of the unit output before modification.
7. The method of any one of claims 1 to 6, wherein collecting information data on the unit capacity during periods below the pre-rebuilt unit capacity lower limit on an annual basis comprises:
s201, initializing days;
s202, initializing the number of time segments;
s203, updating the average node electricity price of the node where the unit is located;
s204, judging whether the output of the unit is lower than the lower limit of the output of the unit before modification in the current days and current time interval; if yes, executing S205; if not, executing S206;
s205, updating and collecting information data of a time period when the output of the unit is lower than the lower limit of the output of the unit before modification;
s206, judging whether the number of the current time segments is less than the maximum number of the time segments in 1 day; if yes, executing S207; if not, executing S208;
s207, increasing the time interval number by 1; returning to execute S203;
s208, increasing the number of days by 1;
s209, judging whether the current days are less than the maximum days in 1 year; if yes, returning to execute S202; and if not, calculating the cost of the thermal power generating unit and the cost of the new energy field according to the basic data and the information data.
8. The method of claim 7, wherein 1 day is divided into 96 time periods.
9. A readable storage medium having stored thereon execution instructions for execution by a processor to implement the method of any one of claims 1 to 8.
10. A computing device, the device comprising:
a memory storing execution instructions; and
a processor executing execution instructions stored by the memory to cause the processor to perform the method of any of claims 1 to 8.
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