Electric power spot market quotation data generation method, system, device and medium

Abstract

The invention discloses an electric power spot market quotation data generation method, system and device and a medium. The method comprises the steps of obtaining medium and long-term position electric quantity and total power generation electric quantity of a power generator; calculating the proportion of the long-term position electric quantity in the generator to the total generating capacity; when the proportion is greater than a preset threshold value, generating electric power spot market quotation data by adopting a low quotation strategy; and when the specific gravity is smaller than or equal to a preset threshold value, obtaining a spot market predicted electricity price and an average marginal cost, and generating electric power spot market quotation data according to the spot market predicted electricity price and the average marginal cost, the electric power spot market quotation data at least comprises one of a quotation range of a lowest quotation section, a quotation range of a second high quotation section and a quotation range of a high quotation section. The method, the system, the equipment and the medium can provide effective electric power spot market quotation data for electric power market simulation deduction.

Description

Technical Field

[0001] The present invention belongs to the technical field of power markets, and relates to a method, system, device and medium for generating power spot market quotation data. Background Art

[0002] Under the background of the new power system, with the access of a high proportion of renewable energy and the formation of a multi-energy complementary pattern, the simulation of the bidding behavior of market participants in a complex supply-demand environment has become the technical cornerstone of power market simulation and deduction. The modeling of the bidding behavior of market entities needs to comprehensively consider multi-dimensional factors such as market supply and demand, medium- and long-term market positions, prices, and risk preferences. The accurate characterization of its bidding behavior pattern directly determines the effectiveness and credibility of power market simulation and deduction. For different market mechanism designs, methods based on game theory equilibrium analysis, machine learning algorithms, and data-driven multi-agent modeling have become the mainstream technical paths for constructing market entity behavior simulation models. By constructing a closed-loop simulation verification system of "policy - rule - behavior - result", it can not only reveal the dynamic interaction mechanism between market mechanisms and entity behaviors, but also provide decision-making support for the robustness test of market operation rules, the evaluation of the marginal effect of policy intervention, and the quantitative analysis of systemic risks.

[0003] In actual operation, in order to pursue maximum benefits, market participants have diverse bidding behaviors. The bidding strategies of market entities in the spot market are not only affected by the spot market, but also by factors such as market supply and demand, risk preferences, new energy power generation, and medium- and long-term positions and prices. The inaccurate characterization of the bidding behavior of market participants is likely to cause market policy failures. Therefore, how to construct the simulation of the bidding behavior of power market participants in power market simulation and deduction has become the focus and difficulty of current research. Under the background of the new power system, how to accurately construct the spot market quotation curve of power generators and conduct power market simulation and deduction based on this is an important link in market simulation and deduction. By reasonably simulating the bidding behavior of power generators, the power market will be able to better adapt to the challenges of future complex operating environments, and at the same time provide key decision-making support for policy makers to ensure the realization of system stability and economic objectives.

[0004] In the actual operation of the market, participants often adopt diversified bidding strategies to maximize their profits. Their decision-making mechanisms are not only restricted by the rules of the spot market, but also dynamically affected by multiple complex factors, including: the real-time fluctuations of the market supply and demand relationship, the differences in the risk preferences of market participants, the intermittency and uncertainty of new energy power generation, and the price-volume combination of medium- and long-term contract positions. When there are biases in the modeling of bidding behaviors, it is easy to cause the failure of market mechanism design and policy regulation. Therefore, it is particularly necessary to construct a bidding behavior simulation system and accurately depict the bidding curve. Especially in the context of the transformation of the new power system, constructing a generator bidding curve model based on the coupled effects of multi-dimensional influencing factors has become a key technological breakthrough point for market simulation and deduction.

[0005] When generating bids in the spot market, generators need to consider the position of medium- and long-term contracts. When the clearing price in the spot market is higher than the price of medium- and long-term contracts, if the winning bid volume in the spot market is small, it may lead to difficulties in fulfilling the medium- and long-term contract volume, and they need to buy electricity at a high price in the spot market, resulting in a loss of revenue. If the clearing price in the spot market is lower than the price of medium- and long-term contracts, if the winning bid volume in the spot market is too high and the clearing price is lower than the marginal cost, it will also cause a loss of revenue. Therefore, current technologies are difficult to provide effective power spot market bid data for power market simulation and deduction. Summary of the Invention

[0006] The purpose of the present invention is to overcome the above-mentioned disadvantages of the prior art and provide a method, system, device and medium for generating power spot market bid data, which can provide effective power spot market bid data for power market simulation and deduction.

[0007] To achieve the above purpose, the present invention discloses a method for generating power spot market bid data, including:

[0008] Obtain the medium- and long-term holding power volume and the total power generation volume of the generator;

[0009] Calculate the proportion of the medium- and long-term holding power volume of the generator in the total power generation volume;

[0010] When the proportion is greater than a preset threshold, a low-bidding strategy is adopted to generate power spot market bid data; when the proportion is less than or equal to the preset threshold, obtain the predicted spot market price and the average marginal cost, and generate power spot market bid data according to the predicted spot market price and the average marginal cost, where the power spot market bid data includes at least one of the bid range of the lowest bid segment, the bid range of the second-highest bid segment, and the bid range of the highest bid segment.

[0011] A further improvement of the method for generating power spot market bid data of the present invention lies in:

[0012] Further, the process of generating power spot market quotation data by adopting a low-quotation strategy is as follows:

[0013] Obtain the predicted electricity price in the spot market and the average marginal cost;

[0014] Compare the predicted electricity price in the spot market with the average marginal cost to obtain a first comparison result;

[0015] Generate power spot market quotation data according to the first comparison result.

[0016] Further, the process of generating power spot market quotation data according to the first comparison result is as follows:

[0017] When the predicted electricity price in the spot market is less than the average marginal cost, obtain the highest declared electricity price in the market, and generate power spot market quotation data according to the highest declared electricity price in the market and the average marginal cost;

[0018] When the predicted electricity price in the spot market is greater than or equal to the average marginal cost, generate power spot market quotation data according to the predicted electricity price in the spot market and the average marginal cost.

[0019] Further, the process of generating power spot market quotation data according to the predicted electricity price in the spot market and the average marginal cost is as follows:

[0020] Obtain the medium- and long-term contract electricity price;

[0021] Compare the predicted electricity price in the spot market with the medium- and long-term contract electricity price to obtain a second comparison result;

[0022] Generate power spot market quotation data according to the second comparison result.

[0023] Further, the process of generating power spot market quotation data according to the second comparison result is as follows:

[0024] When the predicted electricity price in the spot market is less than the medium- and long-term contract electricity price, obtain the average marginal cost, compare the predicted electricity price in the spot market with the average marginal cost to obtain a third comparison result, and generate power spot market quotation data according to the third comparison result;

[0025] When the predicted electricity price in the spot market is greater than or equal to the medium- and long-term contract electricity price, generate power spot market quotation data according to the medium- and long-term contract electricity price and the predicted electricity price in the spot market.

[0026] Further, the process of generating power spot market quotation data according to the third comparison result is as follows:

[0027] When the predicted price in the spot market is less than the average marginal cost, power spot market quotation data is generated based on the predicted spot market electricity price, the average marginal cost, and the medium- and long-term contract electricity price;

[0028] When the predicted spot market electricity price is greater than or equal to the average marginal cost, power spot market quotation data is generated based on the predicted spot market electricity price and the average marginal cost.

[0029] The present invention discloses a system for generating power spot market quotation data, comprising:

[0030] A first acquisition module, configured to acquire the medium- and long-term position holding electricity quantity and the total power generation electricity quantity of a power generator;

[0031] A calculation module, configured to calculate the proportion of the medium- and long-term position holding electricity quantity of the power generator in the total power generation;

[0032] A first generation module, configured to, when the proportion is greater than a preset threshold, generate power spot market quotation data by adopting a low quotation strategy; when the proportion is less than or equal to the preset threshold, acquire the predicted spot market electricity price and the average marginal cost, and generate power spot market quotation data based on the predicted spot market electricity price and the average marginal cost, wherein the power spot market quotation data at least includes one of the quotation ranges of the lowest quotation segment, the second highest quotation segment, and the highest quotation segment.

[0033] A further improvement of the power spot market quotation data generation system according to the present invention lies in:

[0034] Further, the first generation module includes:

[0035] A second acquisition module, configured to acquire the predicted spot market electricity price and the average marginal cost;

[0036] A first comparison module, configured to compare the predicted spot market electricity price with the average marginal cost to obtain a first comparison result;

[0037] A second generation module, configured to generate power spot market quotation data according to the first comparison result.

[0038] Further, the second generation module includes:

[0039] A third generation module, configured to, when the predicted spot market electricity price is less than the average marginal cost, acquire the highest declared electricity price in the market, and generate power spot market quotation data based on the highest declared electricity price in the market and the average marginal cost;

[0040] The fourth generation module is used to generate electricity spot market quotation data according to the predicted electricity price in the spot market and the average marginal cost when the predicted electricity price in the spot market is greater than or equal to the average marginal cost.

[0041] Further, the first generation module includes:

[0042] The third acquisition module is used to acquire the medium- and long-term contract electricity price;

[0043] The second comparison module is used to compare the predicted electricity price in the spot market with the medium- and long-term contract electricity price to obtain a second comparison result;

[0044] The fifth generation module is used to generate electricity spot market quotation data according to the second comparison result.

[0045] Further, the fifth generation module includes:

[0046] The sixth generation module is used to acquire the average marginal cost when the predicted electricity price in the spot market is less than the medium- and long-term contract electricity price, compare the predicted electricity price in the spot market with the average marginal cost to obtain a third comparison result, and generate electricity spot market quotation data according to the third comparison result;

[0047] The seventh generation module is used to generate electricity spot market quotation data according to the medium- and long-term contract electricity price and the predicted electricity price in the spot market when the predicted electricity price in the spot market is greater than or equal to the medium- and long-term contract electricity price.

[0048] Further, the sixth generation module includes:

[0049] The eighth generation module is used to generate electricity spot market quotation data according to the predicted electricity price in the spot market, the average marginal cost and the medium- and long-term contract electricity price when the predicted price in the spot market is less than the average marginal cost;

[0050] The ninth generation module is used to generate electricity spot market quotation data according to the predicted electricity price in the spot market and the average marginal cost when the predicted electricity price in the spot market is greater than or equal to the average marginal cost.

[0051] The present invention discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for generating electricity spot market quotation data are implemented.

[0052] The present invention discloses a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the method for generating electricity spot market quotation data are implemented.

[0053] The present invention has the following beneficial effects:

[0054] When the method, system, device and medium for generating power spot market quotation data according to the present invention are specifically operated, calculate the proportion of the medium- and long-term holding power of the power generator in the total power generation, that is, the market supply-demand ratio, and generate power spot market quotation data based on the market supply-demand ratio, the predicted power price in the spot market and the average marginal cost, breaking through the limitations of traditional single-parameter bidding decisions, and at the same time achieving the dynamic balance of revenue and risk. In addition, the power spot market quotation data at least includes one of the quotation ranges of the lowest quotation segment, the second-highest quotation segment and the highest quotation segment, and adopts a segmented quotation strategy, taking into account the maximization of revenue and the control of loss risk, and providing effective power spot market quotation data for the simulation and deduction of the power market. Description of the Drawings

[0055] The specification drawings forming a part of the present invention are used to provide a further understanding of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0056] Figure 1 is the flowchart of the method of the present invention;

[0057] Figure 2 is the system structure diagram of the present invention. Detailed Embodiments

[0058] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0059] In the description of the present invention, it should be understood that the terms "including" and "comprising" indicate the presence of the described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or their combinations.

[0060] It should also be understood that the terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include the plural forms.

[0061] It should be further understood that the term "and / or" used in the specification and appended claims of the present invention refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations. For example, A and / or B can represent three cases: A exists alone, A and B exist simultaneously, and B exists alone. Additionally, in the present invention, the character " / " generally indicates an "or" relationship between the associated objects before and after.

[0062] It should be understood that although terms such as first, second, third, etc. may be used in the embodiments of the present invention to describe preset ranges and the like, these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from each other. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0063] Depending on the context, the word "if" as used herein can be interpreted as "when" or "while" or "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if detected (stated condition or event)" can be interpreted as "when determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)".

[0064] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Generally, the components described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed present invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0065] Various schematic structural diagrams according to the disclosed embodiments of the present invention are shown in the drawings. These figures are not drawn to scale, where for the purpose of clear expression, some details are enlarged and some details may be omitted. The shapes of various regions and layers shown in the figures and their relative sizes and positional relationships are merely exemplary, and may actually deviate due to manufacturing tolerances or technical limitations. And those skilled in the art can design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0066] Embodiment 1

[0067] Reference Figure 1 , the method for generating power spot market quotation data according to the present invention includes the following steps:

[0068] 1) Obtain the medium- and long-term holding power of power generators and the total power generation;

[0069] 2) Calculate the proportion of the medium- and long-term holding power of the power generator in the total power generation;

[0070] 3) When the proportion is greater than a preset threshold, a low quotation strategy is adopted to generate power spot market quotation data; when the proportion is less than or equal to the preset threshold, obtain the predicted power price and average marginal cost of the spot market, and generate power spot market quotation data according to the predicted power price and average marginal cost of the spot market, wherein the power spot market quotation data includes the quotation range of the lowest quotation segment, the quotation range of the second highest quotation segment, and the quotation range of the highest quotation segment.

[0071] The specific process of step 3) is as follows:

[0072] 31) When the proportion is greater than a preset threshold, obtain the predicted power price and average marginal cost of the spot market, compare the predicted power price of the spot market with the average marginal cost to obtain a first comparison result, and generate power spot market quotation data according to the first comparison result.

[0073] Among them, 311) when the predicted power price of the spot market is less than the average marginal cost, obtain the highest declared power price in the market, and generate power spot market quotation data according to the highest declared power price in the market and the average marginal cost;

[0074] Specifically, the generated power spot market quotation data is: the quotation range of the lowest quotation segment is [(0, minimum technical output), average marginal cost], ensuring that even if winning the bid in the lowest segment, it will not be in a loss state; the quotation range of the second highest quotation segment is [(minimum technical output, second highest output), (average marginal cost, highest declared power price in the market)], that is, ensuring that it can win the bid with a high quotation and generate good benefits under the condition of high load factor operation; the quotation range of the highest quotation segment is [(second highest output, maximum power generation output), highest declared power price in the market]; among them, the second highest quotation segment is divided into eight stepped quotation ranges, and the quotation data increases uniformly from the average marginal cost to the highest declared power price in the market;

[0075] 312) When the predicted power price of the spot market is greater than or equal to the average marginal cost, generate power spot market quotation data according to the predicted power price and average marginal cost of the spot market.

[0076] Specifically, the electricity spot market quotation data is generated as follows: the quotation range of the lowest quotation segment is [(0, minimum technical output), average marginal cost], ensuring that even if winning the bid in the lowest segment, it will not be in a loss state; the quotation range of the second-highest quotation segment is [(minimum technical output, second-highest output), (average marginal cost, highest quotation of the second-highest quotation segment)], that is, ensuring that it can win the bid at a high price and generate good returns under the condition of high load factor operation; the quotation range of the high quotation segment is [(second-highest output, maximum power generation output), market's highest declared electricity price]. Among them, the second-highest quotation segment is declared in 8 stepped segments, and the quotation data increases uniformly from the average marginal cost to the predicted electricity price in the spot market.

[0077] 32) When the said ratio is less than or equal to the preset threshold, then obtain the predicted electricity price in the spot market and the average marginal cost, and generate the electricity spot market quotation data according to the predicted electricity price in the spot market and the average marginal cost.

[0078] The process of generating the electricity spot market quotation data according to the predicted electricity price in the spot market and the average marginal cost in step 32) is as follows: obtain the medium- and long-term contract electricity price; compare the predicted electricity price in the spot market with the medium- and long-term contract electricity price to obtain the second comparison result; generate the electricity spot market quotation data according to the second comparison result.

[0079] Among them, the process of generating the electricity spot market quotation data according to the second comparison result is as follows:

[0080] 321) When the predicted electricity price in the spot market is less than the medium- and long-term contract electricity price, then obtain the average marginal cost, compare the predicted electricity price in the spot market with the average marginal cost to obtain the third comparison result, and generate the electricity spot market quotation data according to the third comparison result;

[0081] Among them, 3211) when the predicted price in the spot market is less than the average marginal cost, then generate the electricity spot market quotation data according to the predicted electricity price in the spot market, the average marginal cost and the medium- and long-term contract electricity price;

[0082] Specifically, the electricity spot market quotation data is: the quotation range of the lowest quotation segment is [(0, daily decomposed electricity of the medium- and long-term contract), predicted electricity price in the spot market], that is, ensuring that even if winning the bid in the lowest segment, it will not be in a loss state; the quotation range of the second-highest quotation segment is [(minimum technical output, second-highest output), (average marginal cost, highest quotation of the second-highest quotation segment)], ensuring that it can win the bid at the average marginal cost without loss under the condition of high load factor operation; the quotation range of the high quotation segment is [(second-highest output, maximum power generation output), market declared price limit]. Among them, the second-highest quotation segment is declared in 8 stepped segments, and the quotation data increases uniformly from the average marginal cost to the medium- and long-term contract electricity price.

[0083] 3212) When the predicted spot market electricity price is greater than or equal to the average marginal cost, electricity spot market quotation data is generated based on the predicted spot market electricity price and the average marginal cost.

[0084] Specifically, the generated electricity spot market quotation data is as follows: the quotation range of the lowest quotation segment is [(0, daily decomposed electricity of medium- and long-term contract), average marginal cost], that is, to ensure that even if winning the bid in the lowest segment, there will be no loss; the quotation range of the second-highest quotation segment is [(minimum technical output, second-highest output), (average marginal cost, highest quotation of the second-highest quotation segment)], that is, to ensure that when operating at a high load factor, it can win the bid at the average marginal cost and not result in a loss; the quotation range of the high quotation segment is [(second-highest output, maximum power generation output), market declaration limit price]. Among them, the second-highest quotation segment is declared in 8 stepped segments, and the quotation data increases uniformly from the average marginal cost to the predicted spot market electricity price.

[0085] 322) When the predicted spot market electricity price is greater than or equal to the medium- and long-term contract electricity price, electricity spot market quotation data is generated based on the medium- and long-term contract electricity price and the predicted spot market electricity price.

[0086] Specifically, the generated electricity spot market quotation data is as follows: the quotation range of the lowest quotation segment is [(0, daily decomposed electricity of medium- and long-term contract), medium- and long-term contract electricity price], that is, to ensure that even if winning the bid in the lowest segment, there will be no loss; the quotation range of the second-highest quotation segment is [(minimum technical output, second-highest output), (medium- and long-term contract electricity price, highest quotation of the second-highest quotation segment)], that is, to ensure that when operating at a high load factor, it can win the bid at a high price and generate better returns; the quotation range of the high quotation segment is [(second-highest output, maximum power generation output), market declaration limit price]. Among them, the second-highest quotation segment is declared in 8 stepped segments, and the quotation data increases uniformly from the medium- and long-term contract electricity price to the predicted spot market electricity price.

[0087] Embodiment 2

[0088] Reference Figure 2 , the electricity spot market quotation data generation system of the present invention includes:

[0089] The first acquisition module is used to acquire the medium- and long-term position-holding electricity quantity and the total power generation electricity quantity of the power generator;

[0090] The calculation module is used to calculate the proportion of the medium- and long-term position-holding electricity quantity of the power generator in the total power generation quantity;

[0091] A first generation module, configured to, when the specific gravity is greater than a preset threshold, generate power spot market quotation data by adopting a low quotation strategy; when the specific gravity is less than or equal to the preset threshold, obtain the predicted electricity price in the spot market and the average marginal cost, and generate power spot market quotation data according to the predicted electricity price in the spot market and the average marginal cost, where the power spot market quotation data includes at least one of the quotation ranges of the lowest quotation segment, the second highest quotation segment, and the highest quotation segment.

[0092] In this embodiment, the first generation module includes:

[0093] A second acquisition module, configured to acquire the predicted electricity price in the spot market and the average marginal cost;

[0094] A first comparison module, configured to compare the predicted electricity price in the spot market with the average marginal cost to obtain a first comparison result;

[0095] A second generation module, configured to generate power spot market quotation data according to the first comparison result.

[0096] In this embodiment, the second generation module includes:

[0097] A third generation module, configured to, when the predicted electricity price in the spot market is less than the average marginal cost, obtain the highest declared electricity price in the market, and generate power spot market quotation data according to the highest declared electricity price in the market and the average marginal cost;

[0098] A fourth generation module, configured to, when the predicted electricity price in the spot market is greater than or equal to the average marginal cost, generate power spot market quotation data according to the predicted electricity price in the spot market and the average marginal cost.

[0099] In this embodiment, the first generation module includes:

[0100] A third acquisition module, configured to acquire the medium- and long-term contract electricity price;

[0101] A second comparison module, configured to compare the predicted electricity price in the spot market with the medium- and long-term contract electricity price to obtain a second comparison result;

[0102] A fifth generation module, configured to generate power spot market quotation data according to the second comparison result.

[0103] In this embodiment, the fifth generation module includes:

[0104] A sixth generation module, configured to obtain an average marginal cost when the predicted electricity price in the spot market is less than the medium- and long-term contract electricity price, compare the predicted electricity price in the spot market with the average marginal cost to obtain a third comparison result, and generate electricity spot market quotation data according to the third comparison result;

[0105] A seventh generation module, configured to generate electricity spot market quotation data according to the medium- and long-term contract electricity price and the predicted electricity price in the spot market when the predicted electricity price in the spot market is greater than or equal to the medium- and long-term contract electricity price.

[0106] In this embodiment, the sixth generation module includes:

[0107] An eighth generation module, configured to generate electricity spot market quotation data according to the predicted electricity price in the spot market, the average marginal cost, and the medium- and long-term contract electricity price when the predicted electricity price in the spot market is less than the average marginal cost;

[0108] A ninth generation module, configured to generate electricity spot market quotation data according to the predicted electricity price in the spot market and the average marginal cost when the predicted electricity price in the spot market is greater than or equal to the average marginal cost.

[0109] The division of the modules in the embodiments of the present application is illustrative. It is only a logical function division. In actual implementation, there may be other division methods. In addition, in each embodiment of the present application, the functional modules can be integrated in one processor, or can exist separately physically, or two or more modules can be integrated in one module. The above integrated modules can be implemented in the form of hardware or in the form of software functional modules.

[0110] Embodiment 3

[0111] A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for generating power spot market quotation data are implemented. For example, it includes: obtaining the medium- and long-term holding power of a power generator and the total generated power; calculating the proportion of the medium- and long-term holding power of the power generator in the total generated power; when the proportion is greater than a preset threshold, a low-quotation strategy is adopted to generate power spot market quotation data; when the proportion is less than or equal to the preset threshold, the predicted power price in the spot market and the average marginal cost are obtained, and power spot market quotation data is generated according to the predicted power price in the spot market and the average marginal cost. Among them, the power spot market quotation data at least includes one of the quotation ranges of the lowest quotation segment, the second-highest quotation segment, and the highest quotation segment. Among them, the memory may include an internal memory, such as a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk memory, etc.; the processor, network interface, and memory are interconnected through an internal bus, and this internal bus can be an Industry Standard Architecture bus, a Peripheral Component Interconnect standard bus, an Extended Industry Standard Architecture bus, etc., and the bus can be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs. Specifically, the program can include program code, and the program code includes computer operation instructions. The memory can include an internal memory and a non-volatile memory, and provides instructions and data to the processor.

[0112] Embodiment 4

[0113] A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the steps of the method for generating power spot market quotation data are implemented. For example, it includes: obtaining the medium- and long-term holding power of a power generator and the total generated power; calculating the proportion of the medium- and long-term holding power of the power generator in the total generated power; when the proportion is greater than a preset threshold, a low-quotation strategy is adopted to generate power spot market quotation data; when the proportion is less than or equal to the preset threshold, the predicted power price in the spot market and the average marginal cost are obtained, and power spot market quotation data is generated according to the predicted power price in the spot market and the average marginal cost. Among them, the power spot market quotation data at least includes one of the quotation ranges of the lowest quotation segment, the second-highest quotation segment, and the highest quotation segment. Specifically, the computer-readable storage medium includes, but is not limited to, for example, volatile memory and / or non-volatile memory. The volatile memory can include random access memory (RAM) and / or cache memory, etc. The non-volatile memory can include read-only memory (ROM), hard disk, flash memory, optical disc, magnetic disk, etc.

[0114] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) that contain computer-usable program code.

[0115] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or a plurality of flows and / or blocks

[0116] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in Figure 1 one or more of the flows Figure 1 or a plurality of flows and / or blocks

[0117] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or a plurality of flows and / or blocks

[0118] After considering the specification and the disclosure of the invention, those skilled in the art will readily think of other embodiments of the present invention. The present application is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the present invention and include common general knowledge or conventional technical means in the technical field not disclosed in the present invention. The specification and the embodiments are only regarded as exemplary, and the true scope and spirit of the present invention are pointed out by the following claims.

[0119] It should be understood that the present invention is not limited to the exact structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.

[0120] The above are only the preferred embodiments of the present invention and do not impose any limitation on the present invention. Any simple modifications, changes, and equivalent structural changes made to the above embodiments according to the technical essence of the present invention still fall within the scope of protection of the technical solution of the present invention.

Claims

1. A method for generating electricity spot market quotation data, characterized in that, Including: Obtaining the medium - and long - term holding power and total generated power of a power generator; Calculating the proportion of the medium - and long - term holding power of the power generator in the total generated power; When the proportion is greater than a preset threshold, then generating power spot market quotation data by adopting a low - quotation strategy; When the proportion is less than or equal to the preset threshold, then obtaining the predicted electricity price and average marginal cost of the spot market, and generating power spot market quotation data according to the predicted electricity price and average marginal cost of the spot market, wherein the power spot market quotation data at least includes one of the quotation ranges of the lowest quotation segment, the second - highest quotation segment, and the highest quotation segment.

2. The method for generating power spot market quotation data according to claim 1, wherein The process of generating power spot market quotation data by adopting a low - quotation strategy is as follows: Obtaining the predicted electricity price and average marginal cost of the spot market; Comparing the predicted electricity price of the spot market with the average marginal cost to obtain a first comparison result; Generating power spot market quotation data according to the first comparison result.

3. The method for generating power spot market quotation data according to claim 2, wherein, The process of generating power spot market quotation data according to the first comparison result is as follows: When the predicted electricity price of the spot market is less than the average marginal cost, then obtaining the highest declared electricity price in the market, and generating power spot market quotation data according to the highest declared electricity price in the market and the average marginal cost; When the predicted electricity price of the spot market is greater than or equal to the average marginal cost, then generating power spot market quotation data according to the predicted electricity price and average marginal cost of the spot market.

4. The method for generating electricity spot market quotation data according to claim 1, characterized in that, The process of generating power spot market quotation data according to the predicted electricity price and average marginal cost of the spot market is as follows: Obtaining the medium - and long - term contract electricity price; Comparing the predicted electricity price of the spot market with the medium - and long - term contract electricity price to obtain a second comparison result; Generating power spot market quotation data according to the second comparison result.

5. The method for generating power spot market quotation data according to claim 4, characterized in that, The process of generating power spot market quotation data according to the second comparison result is as follows: When the predicted electricity price of the spot market is less than the medium - and long - term contract electricity price, then obtaining the average marginal cost, comparing the predicted electricity price of the spot market with the average marginal cost to obtain a third comparison result, and generating power spot market quotation data according to the third comparison result; When the predicted electricity price of the spot market is greater than or equal to the medium - and long - term contract electricity price, then generating power spot market quotation data according to the medium - and long - term contract electricity price and the predicted electricity price of the spot market.

6. The method for generating power spot market quotation data according to claim 5, wherein, The process of generating power spot market quotation data according to the third comparison result is as follows: When the predicted electricity price of the spot market is less than the average marginal cost, then generating power spot market quotation data according to the predicted electricity price of the spot market, the average marginal cost, and the medium - and long - term contract electricity price; When the predicted electricity price of the spot market is greater than or equal to the average marginal cost, then generating power spot market quotation data according to the predicted electricity price and average marginal cost of the spot market.

7. A power spot market quotation data generation system, characterized in that, Including: A first obtaining module for obtaining the medium - and long - term holding power and total generated power of a power generator; A calculating module for calculating the proportion of the medium - and long - term holding power of the power generator in the total generated power; A first generating module for, when the proportion is greater than a preset threshold, generating power spot market quotation data by adopting a low - quotation strategy; When the specific gravity is less than or equal to a preset threshold value, the predicted electricity price in the spot market and the average marginal cost are obtained, and electricity spot market quotation data is generated according to the predicted electricity price in the spot market and the average marginal cost, wherein the electricity spot market quotation data includes at least one of the quotation ranges of the lowest quotation segment, the second highest quotation segment, and the highest quotation segment.

8. The electricity spot market quotation data generation system according to claim 7, wherein The first generation module includes: A second acquisition module, configured to acquire the predicted electricity price in the spot market and the average marginal cost; A first comparison module, configured to compare the predicted electricity price in the spot market with the average marginal cost to obtain a first comparison result; A second generation module, configured to generate electricity spot market quotation data according to the first comparison result.

9. The power spot market quotation data generation system according to claim 8, characterized in that, The second generation module includes: A third generation module, configured to, when the predicted electricity price in the spot market is less than the average marginal cost, acquire the highest declared electricity price in the market, and generate electricity spot market quotation data according to the highest declared electricity price in the market and the average marginal cost; A fourth generation module, configured to, when the predicted electricity price in the spot market is greater than or equal to the average marginal cost, generate electricity spot market quotation data according to the predicted electricity price in the spot market and the average marginal cost.

10. The power spot market quotation data generation system according to claim 7, wherein The first generation module includes: A third acquisition module, configured to acquire the medium- and long-term contract electricity price; A second comparison module, configured to compare the predicted electricity price in the spot market with the medium- and long-term contract electricity price to obtain a second comparison result; A fifth generation module, configured to generate electricity spot market quotation data according to the second comparison result.

11. The power spot market quotation data generation system according to claim 10, wherein The fifth generation module includes: A sixth generation module, configured to, when the predicted electricity price in the spot market is less than the medium- and long-term contract electricity price, acquire the average marginal cost, compare the predicted electricity price in the spot market with the average marginal cost to obtain a third comparison result, and generate electricity spot market quotation data according to the third comparison result; A seventh generation module, configured to, when the predicted electricity price in the spot market is greater than or equal to the medium- and long-term contract electricity price, generate electricity spot market quotation data according to the medium- and long-term contract electricity price and the predicted electricity price in the spot market.

12. The power spot market quotation data generation system according to claim 11, wherein The sixth generation module includes: An eighth generation module, configured to, when the predicted electricity price in the spot market is less than the average marginal cost, generate electricity spot market quotation data according to the predicted electricity price in the spot market, the average marginal cost, and the medium- and long-term contract electricity price; A ninth generation module, configured to, when the predicted electricity price in the spot market is greater than or equal to the average marginal cost, generate electricity spot market quotation data according to the predicted electricity price in the spot market and the average marginal cost.

13. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, the steps of the method for generating electricity spot market quotation data according to any one of claims 1-6 are implemented.

14. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, the steps of the method for generating electricity spot market quotation data according to any one of claims 1-6 are implemented.

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