CN111127203A - Method and device for determining medium-long term electric power transaction scheme - Google Patents
Method and device for determining medium-long term electric power transaction scheme Download PDFInfo
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Abstract
The invention discloses a method and a device for determining a medium-long term electric power transaction scheme, a computer readable storage medium and electronic equipment, wherein the method comprises the following steps: acquiring medium and long term declaration data corresponding to electricity selling objects and clearing data after participating in spot power markets; acquiring medium and long term transaction data corresponding to the electricity selling object according to the medium and long term declaration data; acquiring a settlement electric charge corresponding to the electricity selling object according to the medium and long term transaction data and the clearing data; and when the settlement electric charge meets a preset condition, determining a medium-long term transaction scheme of the electricity selling object according to medium-long term transaction data corresponding to the settlement electric charge. The medium-and-long-term electric power transaction scheme obtained by the technical scheme of the invention has relatively high reference value due to comprehensive consideration of the settlement electric charge of the medium-and-long-term electric power market and the spot electric power market, and correspondingly, when the electric power selling objects carry out medium-and-long-term electric power transaction according to the obtained medium-and-long-term electric power transaction scheme, the transaction risk of the electric power selling objects can be reduced.
Description
Technical Field
The invention relates to the technical field of energy, in particular to a method and a device for determining a medium-long term electric power transaction scheme.
Background
With the progressive definition of the rules of the electric spot market, the release of the spot market has also been scheduled. In the determination of medium-long term electric power transaction schemes, the transaction varieties are various, and the transaction rules are complex. Because the electric power commodity has the characteristics of instantaneity, intangibility, fluctuation of supply and demand and the like, the electric energy cannot be traded like common commodities. The electricity market is currently in the beginning stage. Therefore, how to implement the scheme for determining the medium-and-long-term power transaction of the power selling company becomes a problem to be solved urgently.
Disclosure of Invention
The invention provides a method and a device for determining a medium-and-long-term electric power transaction scheme, a computer readable storage medium and electronic equipment.
In a first aspect, the present invention provides a method for determining a medium-and-long-term power transaction scheme, including:
acquiring medium and long term declaration data corresponding to electricity selling objects and clearing data after participating in spot power markets;
acquiring medium and long term transaction data corresponding to the electricity selling object according to the medium and long term declaration data;
acquiring a settlement electric charge corresponding to the electricity selling object according to the medium and long term transaction data and the clearing data;
and when the settlement electric charge meets a preset condition, determining a medium-long term transaction scheme of the electricity selling object according to medium-long term transaction data corresponding to the settlement electric charge.
Preferably, the acquiring, according to the medium-and-long-term declaration data, medium-and-long-term transaction data corresponding to the electricity selling object includes:
acquiring medium and long term transaction rules between the electricity selling objects and the electricity generating objects corresponding to the medium and long term declaration data;
and the medium and long-term reporting data and the preset medium and long-term reporting data are simulated according to the medium and long-term transaction rule to obtain medium and long-term transaction data corresponding to the electricity selling object.
Preferably, the medium-long term transaction data comprises any one or more of bilateral negotiation transaction data, centralized competition transaction data and card picking transaction data;
the medium and long term declaration data comprise electric quantity, electricity price and electric quantity decomposition curves.
Preferably, the medium-long term transaction data is data checked through transaction.
Preferably, the clearance data comprises day-ahead clearance data and real-time clearance data;
then, the obtaining of the settlement electric charge corresponding to the electricity selling object according to the medium and long term transaction data and the clearing data includes:
carrying out price difference settlement on the medium and long term transaction data and the date clearing data to obtain medium and long term settlement electric quantity;
performing deviation settlement on the real-time clearing data and the day-ahead clearing data to obtain real-time settlement electric quantity;
and determining the settlement electric charge corresponding to the electricity selling object according to the medium and long term settlement electric quantity, the real-time settlement electric quantity and the day-ahead settlement electric quantity corresponding to the day-ahead clearing data.
Preferably, the day-ahead clearing data is obtained by clearing according to the day-ahead load demand corresponding to the electricity selling object and preset day-ahead electricity market data;
the real-time clearing data is obtained by clearing according to the actual load demand of the user of the electricity selling object agent and preset real-time electric power market data;
the day-ahead clearing data comprises day-ahead load demands and day-ahead clearing price corresponding to the electricity selling companies;
the real-time clearing data comprises actual load requirements corresponding to the power selling companies and real-time clearing prices.
Preferably, the day-ahead load demand and the actual load demand are obtained by prediction according to historical electricity consumption data of the user corresponding to the electricity selling object.
In a second aspect, the present invention provides a medium-and-long-term power transaction scheme determining apparatus, including:
the first acquisition module is used for acquiring medium and long term declaration data corresponding to electricity selling objects and clearing data after participating in spot power markets;
the second acquisition module is used for acquiring medium and long term transaction data corresponding to the electricity selling object according to the medium and long term reporting data;
the settlement module is used for acquiring settlement electric charges corresponding to the electricity selling objects according to the medium and long term transaction data and the clearing data;
and the scheme determining module is used for determining a medium-long term transaction scheme of the electricity selling object according to the medium-long term transaction data corresponding to the settlement electric charge when the settlement electric charge meets a preset condition.
In a third aspect, the invention provides a computer readable storage medium comprising executable instructions which, when executed by a processor of an electronic device, cause the processor to perform the method of any of the first aspects.
In a fourth aspect, the present invention provides an electronic device, comprising a processor and a memory storing execution instructions, wherein when the processor executes the execution instructions stored in the memory, the processor performs the method according to any one of the first aspect.
The invention provides a method, a device, a computer readable storage medium and an electronic device for determining a medium-and-long term electric power transaction scheme, wherein the method comprises the steps of acquiring medium-and-long term declaration data corresponding to an electric power selling object and clearing data participating in a spot electric power market, then acquiring medium-and-long term transaction data corresponding to the electric power selling object according to the medium-and-long term declaration data, then acquiring a settlement electric charge corresponding to the electric power selling object according to the medium-and-long term transaction data and the clearing data, and then determining the medium-and-long term transaction scheme of the electric power selling object according to the medium-and-long term transaction data corresponding to the settlement electric charge when the settlement electric power charge meets a preset condition, so that the medium-and-long term electric power transaction scheme obtained by the technical scheme of the invention has relatively high reference value due to comprehensive consideration of the medium-and-long term electric power market and the spot electric power market, correspondingly, when the electric power selling object carries out medium-and long term, the transaction risk of the electricity selling object can be reduced, the transaction cost is reduced, and the income of the electricity selling object is ensured.
Further effects of the above-mentioned unconventional preferred modes will be described below in conjunction with specific embodiments.
Drawings
In order to more clearly illustrate the embodiments or prior art solutions of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and it is obvious for a person skilled in the art to obtain other drawings based on these drawings without paying creative efforts.
Fig. 1 is a flow chart illustrating a method for determining a medium-and-long-term power transaction scheme according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a medium-and-long-term power transaction scheme determining apparatus according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of another medium-and-long-term power transaction scheme determining apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of another medium-and-long-term power transaction scheme determining apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail and completely with reference to the following embodiments and accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an embodiment of the present invention provides a method for determining a medium-and-long-term power transaction scheme, including the following steps:
102, acquiring a settlement electric charge corresponding to the electric selling object according to the medium and long term transaction data and the clearing data;
103, acquiring a settlement electric charge corresponding to the electric selling object according to the medium and long term transaction data, the first clearing data and the second clearing data;
and 104, when the settlement electric charge meets a preset condition, determining a medium-long term transaction scheme of the electricity selling object according to medium-long term transaction data corresponding to the settlement electric charge.
As shown in fig. 1, the method obtains medium and long term declaration data corresponding to an electricity selling object and clearing data participating in a spot power market, then obtains medium and long term transaction data corresponding to the electricity selling object according to the medium and long term declaration data, then obtains a settlement power rate corresponding to the electricity selling object according to the medium and long term transaction data and the clearing data, and then determines a medium and long term transaction scheme of the electricity selling object according to the medium and long term transaction data corresponding to the settlement power rate when the settlement power rate satisfies a preset condition, so that the obtained medium and long term power transaction scheme has a relatively high reference value due to comprehensive consideration of the settlement power rates of the medium and long term power market and the spot power market, and correspondingly, when the electricity selling object performs medium and long term power transaction according to the obtained medium and long term power transaction scheme, the transaction risk of the electricity selling object can be reduced, the transaction cost is reduced, and the income of the electricity selling object is ensured.
Specifically, the electricity selling object specifically refers to an electricity selling company, and the electricity selling company purchases electricity from the electricity generating object and sells the electricity to a user of an agent of the electricity selling company, that is, the electricity selling object participates in an electricity market to perform electricity trading on behalf of the user. Here, the power generation object specifically refers to an object capable of providing power, such as a power plant. The medium and long term reporting data specifically refer to reported electric quantity, reported price and electric quantity decomposition curve when the electricity selling object participates in the medium and long term electricity market. The clearing data comprises data of the electricity selling objects in the state of power supply and demand balance after the electricity selling objects participate in the spot electricity market. The medium and long term transaction data specifically refers to the electric quantity and the electricity price agreed between the electricity selling object and the electricity generating object, and is data of financial nature. The settlement of the electric charge specifically refers to the electric charge which is actually required to be paid to the electricity generation object by the electricity selling object, and the settlement can be carried out weekly or monthly.
It should be noted that, when the clearing data is not changed, that is, the load requirements of a plurality of users of the electricity selling object agent are not changed, the medium and long term transaction data corresponding to different medium and long term declaration data are different, and correspondingly, the settlement electricity charges of the electricity selling object are different, and when the settlement electricity charges meet the preset condition, it is indicated that the electricity charges that the electricity selling object needs to pay to the electricity generating object are relatively less, and at this time, the medium and long term transaction data corresponding to the settlement electricity charges can be used as the medium and long term transaction scheme. Obviously, the number of the medium and long term declaration data may be plural, and each of the medium and long term power declaration data indicates a medium and long term power declaration scheme corresponding to one of the medium and long term transaction data and one of the settlement electric charges. Therefore, the embodiment of the invention can select the medium-and-long-term power transaction scheme with higher reference value from different medium-and-long-term transaction schemes based on the settlement electric quantity, and meanwhile, the embodiment of the invention does not limit the method for acquiring the medium-and-long-term declaration data corresponding to the power selling object, can automatically generate the medium-and-long-term declaration data and can also configure the power selling object. Optionally, according to historical electricity consumption data of a plurality of users of the electricity selling object agent, medium and long term load requirements corresponding to the electricity selling object are predicted, and according to the medium and long term load requirements corresponding to the electricity selling object, a plurality of medium and long term reporting data corresponding to the electricity selling object are obtained. The method of predicting medium and long term load demands is not limited in its implementation.
Specifically, the settlement electric charge satisfying the preset condition includes that the settlement electric charge is less than a preset value or the settlement electric charge is minimum.
As will be understood by those skilled in the art, the spot power market and the medium-long term power market in which the electricity selling objects participate are simulated, not the spot power market and the medium-long term power market in the real world, and the embodiment of the invention aims to predict the future medium-long term power trading scheme and reduce the trading risk of the electricity selling objects.
In an embodiment of the present invention, the obtaining, according to the medium-and-long-term declaration data, medium-and-long-term transaction data corresponding to the electricity selling object includes:
acquiring medium and long term transaction rules between the electricity selling objects and the electricity generating objects corresponding to the medium and long term declaration data;
and the medium and long-term reporting data and the preset medium and long-term reporting data are simulated according to the medium and long-term transaction rule to obtain medium and long-term transaction data corresponding to the electricity selling object.
Specifically, when only one medium-and-long-term transaction rule is available, medium-and-long-term transaction rules between the electricity selling object and the electricity generating object corresponding to the medium-and-long-term reporting data are obtained, and the medium-and-long-term reporting data and the preset medium-and-long-term reporting data are simulated according to the medium-and-long-term transaction rules to obtain medium-and-long-term transaction data corresponding to the electricity selling object. The medium-long term transaction data comprises any one of bilateral negotiation transaction data, centralized competition transaction data and card picking transaction data, the medium-long term declaration data comprises total electric quantity, electricity price per hour and a total electric quantity decomposition curve in a target period, and the target period refers to electricity utilization duration.
Specifically, when two or more medium-and-long-term transaction rules exist, for each medium-and-long-term transaction rule, the medium-and-long-term reporting data and the preset medium-and-long-term reporting data are simulated according to the medium-and-long-term transaction rule, and transaction data corresponding to the electricity selling object are obtained. And then, the transaction data corresponding to various medium and long term transaction rules are taken as medium and long term transaction data of the electricity selling object, and the obtained medium and long term transaction data have higher reference value due to comprehensive consideration of different medium and long term transaction rules. The medium-long term transaction data comprises any two or more of bilateral negotiation transaction data, centralized competition transaction data and card picking transaction data, and the corresponding medium-long term declaration data comprises declaration electric quantity in a standard period, declaration electricity price per hour and an electric quantity decomposition curve in the standard period. The electric quantity decomposition curve is used for decomposing the electric quantity so as to obtain the electric quantity per hour, and the electric quantity decomposition curve is not limited in any way and needs to be determined by combining with an actual scene.
The preset medium-and-long-term declaration data is medium-and-long-term declaration data of other power selling companies provided for simulating medium-and-long-term power markets. In a possible implementation mode, the preset medium and long term declaration data participate in the medium and long term power market according to the medium and long term trading rules, the data volume required by the implementation mode is relatively small, the same data is repeatedly used for many times, the content of the electronic equipment is saved, and the calculation efficiency is ensured. In another possible implementation manner, the preset medium-and-long-term declaration data comprises bilateral negotiation declaration data, centralized competition declaration data and listing transaction declaration data, when the medium-and-long-term transaction rule is a listing transaction rule, listing transaction declaration data in the preset medium-and-long-term declaration data is selected for the simulation, and the more accurate medium-and-long-term transaction data can be obtained by selecting corresponding data in a targeted manner in consideration of the difference of medium-and-long-term declaration data required by different medium-and-long-term transaction rules.
It should be further noted that the selection of the medium and long term transaction rules implemented in the present invention is not limited, and is specifically determined by combining the actual scenario with the goal of reducing the transaction risk.
The medium-long term transaction rule refers to what behaviors need to be generated, what constraint conditions need to be followed, what contents need to be output and the like when the power selling company conducts power transaction in the medium-long term power market. Simulation refers specifically to the essential process of restoring the electricity trade that occurs in the medium and long term electricity market.
Specifically, the bilateral negotiation transaction refers to an autonomous negotiation transaction between market entities for trading elements such as contract period, contract electricity quantity, transaction price, decomposition curve and the like, and forms a transaction mode of a transaction contract. And when the medium-and-long-term power market rule is a bilateral negotiation transaction rule, simulating the medium-and-long-term declaration data and preset medium-and-long-term declaration data according to the bilateral negotiation transaction rule to obtain bilateral negotiation transaction data corresponding to the electricity selling object, wherein the bilateral negotiation transaction data comprise the transaction electric quantity in the target period, the transaction electricity price per hour and an electric quantity decomposition curve.
Specifically, the centralized competitive trading refers to a trading mode which is developed in a trading system in a centralized organization mode, a market main body declares a trading intention, and the trading system automatically matches and matches a trading result. The centralized competition transaction comprises two stages of collective bidding and continuous bidding. The centralized competitive trading is divided into annual centralized competitive trading, monthly centralized competitive trading and weekly centralized competitive trading, wherein the annual centralized competitive trading is developed at the end of each year, the monthly centralized competitive trading is developed every month, and the weekly centralized competitive trading is developed every week. The centralized bidding transaction requires decomposing the declared electricity quantity of the market subject into electricity quantities in hours by a decomposition curve. Specifically, when the medium-and-long-term power market rule is a centralized competition transaction rule, the medium-and-long-term declaration data and the preset medium-and-long-term declaration data are subjected to centralized matching according to a set competition transaction rule in the centralized competition transaction rule to obtain set bidding transaction data of the power selling objects, and if the power selling objects have electric quantity which is not paid, the electric quantity which is not paid is subjected to automatic matching according to a continuous competition transaction rule in the centralized competition transaction rule to obtain continuous bidding transaction data of the power selling objects. And combining the bidding transaction data and the continuous bidding transaction data to form centralized competition transaction data, wherein the centralized competition transaction data comprises a plurality of transaction electric quantities, each hour transaction electric price corresponding to each transaction electric quantity and an electric quantity decomposition curve, and the transaction electric quantities are the same as the electric quantity in the bidding period.
Specifically, the listing transaction refers to a transaction mode which is centrally organized and developed in a transaction system, a market main body carries out listing, picking and the like through the transaction system to form a transaction result, and the transaction adopts a custom decomposition curve. And when the medium-long term electric power market rule is a listing transaction rule, simulating the medium-long term reporting data and the preset medium-long term reporting data according to the listing transaction rule to obtain the listing transaction data corresponding to the electricity selling object, wherein the listing transaction data comprises the target period transaction electric quantity, the per-hour transaction electricity price and an electric quantity decomposition curve.
Optionally, the medium-and-long-term transaction data is data checked through transaction, so that a reference value of the medium-and-long-term transaction data is ensured. For example, the transaction check may check whether the monthly accumulated power amount of the power selling object satisfies a preset value. The monthly accumulated power amount refers to the sum of absolute values of the power amounts of the sales contracts performed in a period of month.
In one embodiment of the invention, the clearing data comprises day-ahead clearing data and real-time clearing data;
then, the obtaining of the settlement electric charge corresponding to the electricity selling object according to the medium and long term transaction data and the clearing data includes:
carrying out price difference settlement on the medium and long term transaction data and the date clearing data to obtain medium and long term settlement electric quantity;
performing deviation settlement on the real-time clearing data and the day-ahead clearing data to obtain real-time settlement electric quantity;
and determining the settlement electric charge corresponding to the electricity selling object according to the medium and long term settlement electric quantity, the real-time settlement electric quantity and the day-ahead settlement electric quantity corresponding to the day-ahead clearing data.
Specifically, the day-ahead clearing data includes a day-ahead clearing price and a day-ahead load demand of the power selling company per hour, and the real-time clearing data includes an actual load demand and a real-time clearing price of the power selling company per hour. The real-time clearing price is hour data and is equal to the arithmetic mean value of the node prices of the corresponding generator sets obtained every 15 minutes in the period. The daily clearing price is hour data and is equal to the arithmetic mean value of the node electricity prices of all the generator sets obtained by clearing every 15 minutes in the period. A node is the location in a power transmission network of a power plant, customer or substation. The node electricity price refers to the non-uniform electricity price according to the difference of nodes or positions, and is the electricity price of electricity sold by a power plant.
Specifically, for each hour, differential settlement is performed on a day-ahead clearing price corresponding to the hour in the day-ahead clearing data and a transaction electric quantity and a transaction electric price for the hour in the medium-and-long-term transaction data, medium-and-long-term settlement electric quantity is obtained, deviation settlement is performed on a day-ahead load demand corresponding to the hour in the day-ahead clearing data, an actual load demand corresponding to the hour in the real-time clearing data and the real-time clearing electric price, real-time settlement electric quantity is obtained, full electric quantity settlement is performed on a day-ahead clearing price and a day-ahead load demand corresponding to the hour in the day-ahead clearing data, and day-ahead electric quantity settlement is obtained. The settlement electric quantity of the electricity selling object is the sum of the medium-long term settlement electric quantity of each hour, the real-time settlement electric quantity and the day-ahead settlement electric quantity. The settlement electric charge comprehensively considers the medium and long term settlement electric quantity, the day-ahead settlement electric quantity and the real-time settlement electric quantity, and can accurately reflect the electric charge which needs to be paid to the power generation object by the power selling object, so that the reference value of the medium and long term transaction scheme of the power selling object is ensured.
For example, if the day-ahead load demand of the electricity selling object at time t is n1, the day-ahead clearing price is p1, the actual load demand of the electricity selling company is n2, the real-time clearing price is p2, the trading electricity quantity of the medium-and-long term contract is n3, the trading electricity price is p3, differential settlement is performed on the real-time clearing data and the day-ahead clearing data, the real-time settlement electricity quantity is (n2-n1) x p2, the differential settlement is performed on the day-ahead clearing data and the medium-and-long term trading data, the medium-and-long term settlement electricity quantity is obtained, the medium-and-long term settlement electricity quantity is (p3-p1) x n3, and the day-ahead full electricity quantity is n1 x p1, and the settlement electricity fee is n1 x p1+ (n2-n1) x p2+ (p3-p1) x n 3.
Specifically, the day-ahead electric power market refers to an electric energy trading market in which the operating day resource combination status and plan are performed 1 day ahead of the operating day. When the electricity selling objects participate in the day-ahead electricity market, the day-ahead load demands of the electricity selling objects in the day-ahead electricity market are predicted according to historical electricity utilization data of a plurality of users of the electricity selling object agents, clearing is carried out according to the day-ahead load demands and preset day-ahead electricity market data, and day-ahead clearing data, corresponding to the electricity selling objects, in the day-ahead electricity market are obtained. The preset day-ahead power market data comprise day-ahead load demands of other power selling companies participating in the day-ahead power market and declared power quantity and declared power price intervals of power generation objects participating in the day-ahead power market.
Specifically, when the electricity selling objects participate in the real-time electricity market, the actual load demands of the electricity selling objects are predicted according to historical electricity utilization data of a plurality of users of the electricity selling object agents, the actual load demands and preset real-time electricity market data are cleared, and the real-time clearing data of the electricity selling objects corresponding to the real-time electricity market are obtained. The preset real-time power market data comprise the actual load requirements of other preset power selling companies participating in the real-time power market, the generated energy of a preset power generation object participating in the real-time power market and the declared power price interval of the preset power generation object participating in the power market in the day-ahead. It should be noted that, the real-time power market is based on the reported electric quantity and reported electricity price interval of the generator set sealed in the power market at the present day, and based on the operation boundary conditions of the power grid such as ultra-short-term load prediction, the start-stop state of the indoor unit is optimized and decided based on the Safety Constraint Unit Combination (SCUC) and the Safety Constraint Economic Dispatch (SCED), and the optimized and decided state is used as the clear boundary condition of the real-time power market. The real-time power market takes the minimization of the power generation cost as an optimization target, a safety-constrained economic dispatching (SCED) algorithm is adopted for centralized optimization calculation, the real-time node electricity price of each generator set is obtained once every 15 minutes, the real-time clear electricity price per hour can be obtained according to the real-time node electricity price, and the power generation object and the power selling object do not need to be declared.
It should be noted that, the method for predicting the day-ahead load demand and the actual load demand in the embodiment of the present invention is not limited, and any day-ahead load prediction method and real-time load prediction method in the real-time power market in the prior art are all applicable to the embodiment of the present invention.
Referring to fig. 2, based on the same concept as the method embodiment of the present invention, an embodiment of the present invention further provides a device for determining a medium-and-long-term electric power transaction scheme, including:
the first acquisition module 201 is used for acquiring medium and long term declaration data corresponding to electricity selling objects and clearing data after participating in the spot electric power market;
the second obtaining module 202 is configured to obtain medium and long term transaction data corresponding to the electricity selling object according to the medium and long term declaration data;
the settlement module 203 is used for acquiring the settlement electric charge corresponding to the electricity selling object according to the medium and long term transaction data and the clearing data;
and the scheme determining module 204 is configured to determine a medium-and-long-term transaction scheme of the electricity selling object according to the medium-and-long-term transaction data corresponding to the settlement electric charge when the settlement electric charge meets a preset condition.
Referring to fig. 3, in an embodiment of the present invention, the second obtaining module 202 includes: an acquisition unit 2021 and a simulation unit 2022; wherein,
the obtaining unit 2021 is configured to obtain a medium-and-long-term transaction rule between the electricity selling object and the electricity generating object corresponding to the medium-and-long-term declaration data.
The simulation unit 2022 is configured to simulate the medium-and-long-term reporting data and preset medium-and-long-term reporting data according to the medium-and-long-term transaction rule, so as to obtain medium-and-long-term transaction data corresponding to the electricity selling object.
In an embodiment of the invention, the medium-long term transaction data comprises any one or more of bilateral negotiation transaction data, centralized competition transaction data and card picking transaction data;
the medium and long term declaration data comprise electric quantity, electricity price and electric quantity decomposition curves.
In an embodiment of the present invention, the medium-and-long-term transaction data is data checked through transaction.
Referring to fig. 4, in an embodiment of the present invention, the clearing data includes day-ahead clearing data and real-time clearing data;
then, the settlement module 203 includes: a first settlement unit 2031, a second settlement unit 2032, and a third settlement unit 2033; wherein,
the first settlement unit 2031 is configured to perform price difference settlement on the medium-and-long-term transaction data and the daily clearing data, and obtain medium-and-long-term settlement electric quantity;
the second settlement unit 2032 is configured to perform deviation settlement on the real-time clearing data and the day-ahead clearing data to obtain real-time settlement electric quantity;
the third settlement unit 2033 is configured to determine a settlement electric charge corresponding to the electric-selling object according to the medium-and-long-term settlement electric quantity, the real-time settlement electric quantity, and the day-ahead settlement electric quantity corresponding to the day-ahead clearing data.
In one embodiment of the invention, the day-ahead clearing data is obtained by clearing according to the day-ahead load demand corresponding to the electricity selling object and preset day-ahead electric power market data;
the real-time clearing data is obtained by clearing according to the actual load demand of the user of the electricity selling object agent and preset real-time electric power market data;
the day-ahead clearing data comprises day-ahead load demands and day-ahead clearing price corresponding to the electricity selling companies;
the real-time clearing data comprises actual load requirements corresponding to the power selling companies and real-time clearing prices.
In one embodiment of the invention, the day-ahead load demand and the actual load demand are obtained according to historical electricity utilization data of the user corresponding to the electricity selling object.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. On the hardware level, the electronic device includes a processor 501 and a memory 502 storing execution instructions, and optionally further includes an internal bus 503 and a network interface 504. The memory 502 may include a memory 5021, such as a Random-access memory (RAM), and may further include a non-volatile memory 5022(non-volatile memory), such as at least 1 disk memory; the processor 501, the network interface 504, and the memory 502 may be connected to each other by an internal bus 503, and the internal bus 503 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (extended Industry Standard Architecture) bus, or the like; the internal bus 503 may be divided into an address bus, a data bus, a control bus, etc., and is indicated by a single double-headed arrow in fig. 5 for convenience of illustration, but does not indicate only a single bus or a single type of bus. Of course, the electronic device may also include hardware required for other services. When the processor 501 executes execution instructions stored by the memory 502, the processor 501 performs the method of any of the embodiments of the present invention and at least is used to perform the method as shown in fig. 1.
In a possible implementation manner, the processor reads the corresponding execution instruction from the nonvolatile memory to the memory and then runs the corresponding execution instruction, and can also obtain the corresponding execution instruction from other equipment, so as to form a medium-long term power transaction scheme determination device on a logic level. The processor executes the execution instruction stored in the memory to realize the method for determining the medium-long term power transaction scheme provided by any embodiment of the invention through the executed execution instruction.
The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logical blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Embodiments of the present invention further provide a computer-readable storage medium, which includes an execution instruction, and when a processor of an electronic device executes the execution instruction, the processor executes a method provided in any one of the embodiments of the present invention. The electronic device may specifically be the electronic device shown in fig. 5; the execution instruction is a computer program corresponding to the medium-long term electricity transaction scheme determining device.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method 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.
The embodiments of the present invention are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or boiler that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or boiler. Without further limitation, the recitation of an element by the phrase "comprising an … …" does not exclude the presence of additional like elements in the process, method, article, or boiler that comprises the element.
The above description is only an example of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (10)
1. A method for determining a medium-long term electricity transaction scheme is characterized by comprising the following steps:
acquiring medium and long term declaration data corresponding to electricity selling objects and clearing data after participating in spot power markets;
acquiring medium and long term transaction data corresponding to the electricity selling object according to the medium and long term declaration data;
acquiring a settlement electric charge corresponding to the electricity selling object according to the medium and long term transaction data and the clearing data;
and when the settlement electric charge meets a preset condition, determining a medium-long term transaction scheme of the electricity selling object according to medium-long term transaction data corresponding to the settlement electric charge.
2. The method according to claim 1, wherein the obtaining of the medium-and-long-term transaction data corresponding to the electricity selling object according to the medium-and-long-term declaration data comprises:
acquiring medium and long term transaction rules between the electricity selling objects and the electricity generating objects corresponding to the medium and long term declaration data;
and the medium and long-term reporting data and the preset medium and long-term reporting data are simulated according to the medium and long-term transaction rule to obtain medium and long-term transaction data corresponding to the electricity selling object.
3. The method of claim 2, wherein the medium and long term transaction data comprises any one or more of bilateral negotiation transaction data, centralized competition transaction data, and card-picking transaction data;
the medium and long term declaration data comprise electric quantity, electricity price and electric quantity decomposition curves.
4. The method of claim 3, wherein the medium-and-long-term transaction data is data that is verified by a transaction.
5. The method of claim 1, wherein the closeout data includes pre-day closeout data and real-time closeout data;
then, the obtaining of the settlement electric charge corresponding to the electric selling object according to the medium and long term transaction data and the clearing data includes:
carrying out price difference settlement on the medium and long term transaction data and the date clearing data to obtain medium and long term settlement electric quantity;
performing deviation settlement on the real-time clearing data and the day-ahead clearing data to obtain real-time settlement electric quantity;
and determining the settlement electric charge corresponding to the electricity selling object according to the medium and long term settlement electric quantity, the real-time settlement electric quantity and the day-ahead settlement electric quantity corresponding to the day-ahead clearing data.
6. The method according to claim 5, wherein the day-ahead clearing data is obtained by clearing according to day-ahead load demands corresponding to the electricity selling objects and preset day-ahead electricity market data;
the real-time clearing data is obtained by clearing according to the actual load demand of the user of the electricity selling object agent and preset real-time electric power market data;
the day-ahead clearing data comprises day-ahead load demands and day-ahead clearing price corresponding to the electricity selling companies;
the real-time clearing data comprises actual load requirements corresponding to the power selling companies and real-time clearing prices.
7. The method according to claim 6, wherein the day-ahead load demand and the actual load demand are obtained according to historical electricity consumption data of the user corresponding to the electricity selling object in a forecast manner.
8. A medium-and-long-term electric power transaction scheme determination apparatus, comprising:
the first acquisition module is used for acquiring medium and long term declaration data corresponding to the electricity selling objects and clearing data after participating in the spot electric power market;
the second acquisition module is used for acquiring medium and long term transaction data corresponding to the electricity selling object according to the medium and long term reporting data;
the settlement module is used for acquiring settlement electric charges corresponding to the electricity selling objects according to the medium and long term transaction data and the clearing data;
and the scheme determining module is used for determining a medium-long term transaction scheme of the electricity selling object according to the medium-long term transaction data corresponding to the settlement electric charge when the settlement electric charge meets a preset condition.
9. A computer-readable storage medium comprising executable instructions that, when executed by a processor of an electronic device, cause the processor to perform the method of any of claims 1-7.
10. An electronic device comprising a processor and a memory storing execution instructions, the processor performing the method of any of claims 1-7 when the processor executes the execution instructions stored by the memory.
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| CN201911296433.5A CN111127203A (en) | 2019-12-16 | 2019-12-16 | Method and device for determining medium-long term electric power transaction scheme |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113379512A (en) * | 2021-07-02 | 2021-09-10 | 广东电力信息科技有限公司 | Electric power spot market trading clearing method and system |
| CN113592507A (en) * | 2021-09-28 | 2021-11-02 | 国能日新科技股份有限公司 | Electric power spot transaction monthly income simulation analysis method and device |
| CN113947201A (en) * | 2021-08-02 | 2022-01-18 | 国家电投集团电站运营技术（北京）有限公司 | Training method and device for power decomposition curve prediction model and storage medium |
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2019
- 2019-12-16 CN CN201911296433.5A patent/CN111127203A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113379512A (en) * | 2021-07-02 | 2021-09-10 | 广东电力信息科技有限公司 | Electric power spot market trading clearing method and system |
| CN113379512B (en) * | 2021-07-02 | 2023-12-12 | 广东电力信息科技有限公司 | Electric power spot market transaction clearing method and system |
| CN113947201A (en) * | 2021-08-02 | 2022-01-18 | 国家电投集团电站运营技术（北京）有限公司 | Training method and device for power decomposition curve prediction model and storage medium |
| CN113592507A (en) * | 2021-09-28 | 2021-11-02 | 国能日新科技股份有限公司 | Electric power spot transaction monthly income simulation analysis method and device |
| CN113592507B (en) * | 2021-09-28 | 2022-02-22 | 国能日新科技股份有限公司 | Electric power spot transaction monthly income simulation analysis method and device |
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