Electricity market clearing method and device and nonvolatile storage medium

Abstract

The invention discloses an electricity market clearing method and device and a nonvolatile storage medium. The method comprises the steps that the initial output power of a generator set, the initial electric energy supply cost of the generator set, the initial load of a user and the initial electric energy demand cost of the user are acquired, and the generator set comprises a non-distributed photovoltaic generator set and a distributed photovoltaic generator set; a market clearing model of the target electric power system is constructed, the market clearing model takes the maximum total income of the target electric power system as the target, and the target electric power system comprises a generator set and a user; and based on the initial output power of the generator set, the initial electric energy supply cost of the generator set, the initial load of the user and the initial electric energy demand cost of the user, solving the market clearing model to obtain a market clearing result of the target power system. The technical problem that an existing power market clearing method is not suitable for a multi-category distributed photovoltaic participation market and distributed photovoltaic marketization scheduling is solved.

Description

Technical Field

[0001] The present invention relates to the field of distributed photovoltaics, and in particular, to a method and apparatus for clearing the electricity market and a non-volatile storage medium. Background Art

[0002] Due to its significant environmental protection advantages and flexible access characteristics, distributed photovoltaic technology is rapidly integrating into the new power system architecture in China. As of 2024, the newly installed capacity of distributed photovoltaics has achieved a major breakthrough of 118 million kilowatts, accounting for 27.2% of the newly installed power generation capacity during the same period, demonstrating the important position and development potential of distributed photovoltaics in the field of clean energy. However, with the continuous expansion of the installed capacity, this means that the power system must adjust its strategies to adapt to the changing power supply and demand environment.

[0003] Compared with centralized photovoltaic projects, distributed photovoltaic projects exhibit distinct differential characteristics in multiple dimensions. First, in terms of construction entities, distributed photovoltaics can be diverse, in contrast to the single entity attribute of centralized ones. Second, the construction scale is generally small, ranging from a few hundred kilowatts to dozens of megawatts, far lower than that of centralized projects. Third, in terms of grid connection voltage levels, distributed photovoltaics mostly use lower distribution network voltage levels for connection, rather than the main grid voltage levels of centralized projects, which requires the power system to have more refined regulation capabilities to adapt to the access of distributed photovoltaics. Facing the significant differences between distributed photovoltaics and centralized photovoltaic power stations in terms of construction entities, construction scale, grid connection voltage levels, and grid connection modes, traditional market clearing methods are difficult to directly meet the flexible needs of distributed photovoltaics.

[0004] No effective solution has been proposed for the above problems. Summary of the Invention

[0005] Embodiments of the present invention provide a method and apparatus for clearing the electricity market and a non-volatile storage medium, so as to at least solve the technical problem that the current electricity market clearing method is not suitable for multi-category distributed photovoltaics to participate in the market and for distributed photovoltaics to achieve market-based scheduling.

[0006] According to one aspect of an embodiment of the present invention, a power market clearing method is provided, including: obtaining the initial output power of a generating set, the initial power supply cost of the generating set, the initial load of a user, and the initial power demand cost of the user, where the generating set includes a non-distributed photovoltaic generating set and a distributed photovoltaic generating set; constructing a market clearing model for a target power system, where the market clearing model aims to maximize the total revenue of the target power system, and the target power system includes the generating set and the user; solving the market clearing model based on the initial output power of the generating set, the initial power supply cost of the generating set, the initial load of the user, and the initial power demand cost of the user to obtain the market clearing result of the target power system.

[0007] Optionally, the target is determined based on the output power of the non-distributed photovoltaic generating set, the power supply cost of the non-distributed photovoltaic generating set, the load of the user corresponding to the non-distributed photovoltaic generating set, the power demand cost of the user corresponding to the non-distributed photovoltaic generating set, and the total benefit generated between the distributed photovoltaic generating set and the corresponding user.

[0008] Optionally, the mathematical function expression of the target is as follows:

[0009]

[0010] where C is the total revenue of the target power system, P i is the output power of the non-distributed photovoltaic generating set, is the power supply cost of the non-distributed photovoltaic generating set, D l is the load of the user corresponding to the non-distributed photovoltaic generating set, is the power demand cost of the user corresponding to the non-distributed photovoltaic generating set, π j is the total benefit generated between the distributed photovoltaic generating set and the corresponding user.

[0011] Optionally, the electricity consumption types corresponding to the distributed photovoltaic generating set include full grid connection, all self-use, and self-use with surplus power grid connection. Among them, full grid connection means that all the electricity generated by the distributed photovoltaic generating set is transmitted to the distribution network center of the target power system, all self-use means that all the electricity generated by the distributed photovoltaic generating set is transmitted to the corresponding user, and self-use with surplus power grid connection combines full grid connection and all self-use.

[0012] Optionally, the mathematical expression of the total benefit generated between the distributed photovoltaic generating set and the corresponding user is as follows:

[0013]

[0014] where is the total benefit when the electricity consumption type is full grid connection, is the total benefit when the electricity consumption type is all self - consumption, is the total benefit when the electricity consumption type is self - consumption with surplus electricity fed into the grid, p j is the output power of the distributed photovoltaic power generation unit, is the electricity supply cost of the distributed photovoltaic power generation unit, d j is the load of the user corresponding to the distributed photovoltaic power generation unit, is the electricity demand cost of the user corresponding to the distributed photovoltaic power generation unit.

[0015] Optionally, the market clearing model further includes a power balance constraint condition, and the mathematical expression of the power balance constraint condition is as follows:

[0016]

[0017] where D l is the load of the user corresponding to the non - distributed photovoltaic power generation unit, P i is the output power of the non - distributed photovoltaic power generation unit, p j is the output power of the distributed photovoltaic power generation unit, d j is the load of the user corresponding to the distributed photovoltaic power generation unit.

[0018] Optionally, when the market clearing result includes the target output power of the distributed photovoltaic power generation unit, it includes at least one of the following: when the current output power of the distributed photovoltaic power generation unit is less than the target output power, based on the target output power, determining the regulation strategy of the target power system as the first regulation strategy, where the first regulation strategy includes starting the standby power supply, activating the energy storage system, and cross - system power allocation; when the current output power of the distributed photovoltaic power generation unit is greater than or equal to the target output power, based on the target output power, determining the regulation strategy of the target power system as the second regulation strategy, where the second regulation strategy includes shutting down non - essential generating units, adjusting the output power of the inverter, and cross - system power allocation.

[0019] According to another aspect of the embodiments of the present invention, there is also provided a power market clearing device, including: an acquisition module, configured to acquire the initial output power of a generating set, the initial power supply cost of the generating set, the initial load of a user, and the initial power demand cost of the user, where the generating set includes a non-distributed photovoltaic generating set and a distributed photovoltaic generating set; a construction module, configured to construct a market clearing model for a target power system, where the market clearing model aims to maximize the total revenue of the target power system, and the target power system includes a generating set and a user; a solving module, configured to solve the market clearing model based on the initial output power of the generating set, the initial power supply cost of the generating set, the initial load of the user, and the initial power demand cost of the user, so as to obtain the market clearing result of the target power system.

[0020] According to still another aspect of the embodiments of the present invention, there is also provided a non-volatile storage medium, which includes a stored program. When the program runs, it controls the device where the non-volatile storage medium is located to execute any one of the above power market clearing methods.

[0021] According to yet another aspect of the embodiments of the present invention, there is also provided a computer device, which includes a processor. The processor is used to run a program. When the program runs, it executes any one of the above power market clearing methods.

[0022] According to yet another aspect of the embodiments of the present invention, there is also provided a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements any one of the above power market clearing methods.

[0023] In the embodiments of the present invention, a power market clearing method is adopted. By acquiring the initial output power of a generating set, the initial power supply cost of the generating set, the initial load of a user, and the initial power demand cost of the user, where the generating set includes a non-distributed photovoltaic generating set and a distributed photovoltaic generating set; constructing a market clearing model for a target power system, where the market clearing model aims to maximize the total revenue of the target power system, and the target power system includes a generating set and a user; solving the market clearing model based on the initial output power of the generating set, the initial power supply cost of the generating set, the initial load of the user, and the initial power demand cost of the user, so as to obtain the market clearing result of the target power system, the purpose of making the clearing mechanism of the power market better adapt to distributed photovoltaics is achieved, thereby realizing the technical effects of improving the economic benefits of the power market and enhancing the stability and reliability of the power system, and further solving the technical problem that the current power market clearing method does not adapt to the participation of multiple types of distributed photovoltaics in the market and the market-oriented scheduling of distributed photovoltaics. Description of the Drawings

[0024] The accompanying drawings described herein are used to provide a further understanding of the present invention and form a part of this application. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0025] Figure 1 A hardware structure block diagram of a computer terminal for implementing a power market clearing method is shown;

[0026] Figure 2 It is a schematic flowchart of a power market clearing method provided according to an embodiment of the present invention;

[0027] Figure 3 It is a schematic diagram of an internal structure of a power system provided according to an optional embodiment of the present invention;

[0028] Figure 4 It is a schematic flowchart of a clearing method for adapting to distributed photovoltaic provided according to an optional embodiment of the present invention;

[0029] Figure 5 It is a structure block diagram of a power market clearing device provided according to an embodiment of the present invention. Detailed implementation manners

[0030] In order to enable those skilled in the art to better understand the solution of the present invention, 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 only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0031] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and do not necessarily need to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0032] According to an embodiment of the present invention, an embodiment of a power market clearing method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0033] The method embodiment provided in the first embodiment of the present application can be executed on a mobile terminal, a computer terminal or a similar computing device. Figure 1 A hardware structure block diagram of a computer terminal for implementing a power market clearing method is shown. As Figure 1 shown, the computer terminal 10 may include one or more (shown as 102a, 102b,..., 102n in the figure) processors (the processor may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA), and a memory 104 for storing data. In addition, it may further include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports in the BUS bus), a network interface, a power supply, and / or a camera. Those of ordinary skill in the art can understand that Figure 1 the structure shown is only illustrative and does not limit the structure of the above-mentioned electronic device. For example, the computer terminal 10 may further include more or fewer components than Figure 1 shown, or have a different configuration from Figure 1 shown.

[0034] It should be noted that the above one or more processors and / or other data processing circuits are generally referred to as "data processing circuits" in this article. The data processing circuit may be embodied in whole or in part as software, hardware, firmware, or any combination thereof. In addition, the data processing circuit may be a single independent processing module, or be incorporated in whole or in part into any one of the other elements in the computer terminal 10. As involved in the embodiments of the present application, the data processing circuit is a processor control (such as the selection of a variable resistor terminal path connected to an interface).

[0035] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the electricity market clearing method in the embodiments of the present invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, realizes the electricity market clearing method of the above application program. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memories, or other non-volatile solid-state memories. In some instances, the memory 104 may further include a memory remotely disposed relative to the processor, and these remote memories can be connected to the computer terminal 10 through a network. Examples of the above network include but are not limited to the Internet, enterprise intranet, local area network, mobile communication network, and combinations thereof.

[0036] The display can be, for example, a touch-screen liquid crystal display (LCD), and the liquid crystal display enables a user to interact with the user interface of the computer terminal 10.

[0037] Figure 2 is a schematic flowchart of the electricity market clearing method provided according to the embodiments of the present invention, as Figure 2 shown, the method includes the following steps:

[0038] Step S201, obtain the initial output power of the generator set, the initial electricity supply cost of the generator set, the initial load of the user, and the initial electricity demand cost of the user, where the generator set includes a non-distributed photovoltaic generator set and a distributed photovoltaic generator set.

[0039] In this step, the initial output power of the generator set refers to the amount of electric energy that a non-distributed photovoltaic generator set (such as a conventional coal-fired power station) and a distributed photovoltaic generator set (such as a household photovoltaic system) can provide at a specific time point, which directly reflects the total power supply capacity. The electricity supply cost refers to the cost generated during the power generation process of the generator set, which can be reflected in the quotation of the generator set, including fuel cost, operation and maintenance cost, depreciation cost, environmental cost, etc. The initial load of the user refers to the amount of electric energy that the user is expected to consume at a specific time point, and the electricity demand cost of the user is the cost that the user is willing to provide for obtaining electric energy, which can be reflected in the user's quotation.

[0040] Among them, most non-distributed photovoltaic power generation units are centralized photovoltaics. Table 1 is a schematic table showing the differences between centralized photovoltaics and distributed photovoltaics provided according to an optional embodiment of the present invention. As shown in Table 1, the two are different in terms of construction entity, scale, grid connection voltage, and grid connection mode. Centralized photovoltaics are owned by a single entity, with a large scale, a high voltage level, and full-scale grid connection; while distributed photovoltaics involve multiple entities, with a scale ranging from household use to industrial and commercial use, and a voltage coverage ranging from civil use to industrial standards. The grid connection mode is flexible, including self-use with surplus power grid connection, etc.

[0041]

[0042] Table 1 Schematic table of the differences between centralized photovoltaics and distributed photovoltaics

[0043] Step S202: Construct a market clearing model for the target power system. Among them, the market clearing model aims to maximize the total revenue of the target power system, and the target power system includes power generation units and users.

[0044] In this step, a market clearing model for the target power system is constructed. Its core is to design a mathematical framework that is oriented towards maximizing the total revenue of the target power system and comprehensively considers various factors such as the production cost, revenue of the power generation units in the system, and the power consumption cost of users. The objective function of the model can be set as maximizing the total market welfare, that is, maximizing the balanced total revenue of the power generation side and the power consumption side, including the revenue of the power generation units (such as the quoted price revenue of coal-fired units minus the power generation cost, and the grid connection revenue of distributed photovoltaics minus the operation and maintenance cost) and the user welfare (minimizing the total payment cost under the satisfaction of the user's power demand). Maximizing the total revenue is the core goal of power system optimization, aiming to balance power production and consumption and improve the economic efficiency and stability of the entire system.

[0045] Step S203: Solve the market clearing model based on the initial output power of the power generation units, the initial power supply cost of the power generation units, the initial load of the users, and the initial power consumption cost of the users to obtain the market clearing result of the target power system.

[0046] In this step, based on the collected information, the market clearing model solves for the optimal solution through a preset objective function and relevant constraint conditions. The objective function synthesizes the revenue of the power generation units and the satisfaction degree of user demands, that is, while ensuring power supply, it minimizes the electricity cost paid by users as much as possible. The constraint conditions may include power balance constraints (ensuring that the total supply equals the total demand), upper and lower limits of unit output constraints (reflecting the maximum and minimum production capacities of each power generation unit), ramp rate constraints (specifying the power change rate of the power generation unit), and the specific grid connection mode and cost structure of distributed photovoltaics, etc. During the model solution process, optimization algorithms such as linear programming, integer programming, and mixed integer programming can be used to accurately calculate the optimal solution of the objective function under all constraint conditions. Among them, the market clearing result may include the target output power and the target electricity supply cost of the distributed photovoltaic power generation unit, and the target output power and the target electricity supply cost are the best output power and electricity supply cost that meet the market conditions.

[0047] Through the above steps, the purpose of making the market clearing mechanism of the power market better adapt to distributed photovoltaics is achieved, thereby realizing the technical effects of improving the economic benefits of the power market and enhancing the stability and reliability of the power system, and further solving the technical problems that the current power market clearing method does not adapt to the participation of multiple types of distributed photovoltaics in the market and the market-oriented scheduling of distributed photovoltaics.

[0048] As an alternative embodiment, the objective is determined based on the output power of non-distributed photovoltaic power generation units, the electricity supply cost of non-distributed photovoltaic power generation units, the load of users corresponding to non-distributed photovoltaic power generation units, the electricity demand cost of users corresponding to non-distributed photovoltaic power generation units, and the total benefits generated between distributed photovoltaic power generation units and corresponding users.

[0049] Optionally, the system can construct an optimization model whose objective function is to maximize the total benefits of the entire power system. This model can consider various costs and revenues, as well as the physical constraints of the power system (such as power balance, network transmission limitations, etc.), and calculate the optimal output of non-distributed and distributed photovoltaic power generation units through calculation, so as to ensure that the power system reaches an optimal balance. Specifically, the model will calculate the amount of electric energy that non-distributed photovoltaic power generation units should provide and the corresponding electricity supply cost at a certain point in time, and at the same time consider in what mode distributed photovoltaics should participate in the market, whether it is full grid connection, self-consumption, or self-consumption with surplus power grid connection, to maximize the system benefits. At the same time, the model will also consider how to allocate electric energy among users and how to use price signals to encourage users to adjust their electricity consumption patterns to reduce the total cost and improve the economic efficiency and reliability of the operation of the power system.

[0050] As an alternative embodiment, the mathematical function expression of the objective is as follows:

[0051]

[0052] Among them, C is the total revenue of the target power system, P i is the output power of the non-distributed photovoltaic generating unit, is the electricity supply cost of the non-distributed photovoltaic generating unit, D l is the load of the user corresponding to the non-distributed photovoltaic generating unit, is the electricity demand cost of the user corresponding to the non-distributed photovoltaic generating unit, π j is the total benefit generated between the distributed photovoltaic generating unit and the corresponding user.

[0053] Optionally, C represents the total revenue of the target power system, which is the economic goal of the entire system. By maximizing C, the resource allocation can be optimized and the economic benefit of the power system can be improved. P i represents the output of the non-distributed photovoltaic generating unit (such as a large thermal power station, a nuclear power station, etc.), that is, the output power. is the electricity supply cost of the non-distributed photovoltaic generating unit, that is, the quotation of the generating unit, including all the costs related to electricity production such as fuel cost, operation and maintenance cost, depreciation, etc. refers to the electricity demand cost paid by the user corresponding to the non-distributed photovoltaic, that is, the quotation for the user to purchase electricity, which reflects the user's evaluation of the value of electricity. π j represents the total benefit generated between the distributed photovoltaic generating unit and the corresponding user. For different distributed photovoltaic grid connection modes (fully grid-connected, self-consumption only, self-consumption with surplus electricity grid-connected), π j The calculation method will also be different. This objective function is usually combined with physical and market rules such as power balance constraints, upper and lower limits of unit output constraints, and ramp constraints. Through an optimization algorithm, the optimal output levels of each generating unit (including non-distributed and distributed photovoltaics) and the optimal load distribution on the user side under specific market conditions can be obtained, so as to guide the actual operation of the power system.

[0054] As an alternative embodiment, the types of electricity consumption corresponding to the distributed photovoltaic generating unit include fully grid-connected, all self-consumption, and self-consumption with surplus electricity grid-connected. Among them, fully grid-connected means that all the electricity generated by the distributed photovoltaic generating unit is transmitted to the distribution network center of the target power system, all self-consumption means that all the electricity generated by the distributed photovoltaic generating unit is transmitted to the corresponding user, and self-consumption with surplus electricity grid-connected combines fully grid-connected and all self-consumption.

[0055] Optionally, Figure 3 is a schematic diagram of the internal structure of a power system provided according to an alternative embodiment of the present invention, such as Figure 3As shown, the power system can include three types: distributed photovoltaic power generation, user electricity load, and conventional units. Among them, users are divided into active users who use distributed photovoltaics and passive users who use conventional units. Active users who use distributed photovoltaics can be further divided into three specific types: full grid connection, all self-consumption, and self-consumption with surplus electricity sold to the grid. Full grid connection means that all photovoltaic electric energy is sold to the grid; all self-consumption directly supplies local users without connecting to the grid; self-consumption with surplus electricity sold to the grid combines the two, giving priority to self-consumption and selling the surplus electricity to the grid. These three modes improve the efficiency of electricity utilization and enhance the flexibility and sustainability of the power system.

[0056] As an optional embodiment, the mathematical expression of the total benefit generated between the distributed photovoltaic generator set and the corresponding user is as follows:

[0057]

[0058] Among them, is the total benefit in the case of full grid connection for the electricity consumption type, is the total benefit in the case of all self-consumption for the electricity consumption type, is the total benefit in the case of self-consumption with surplus electricity sold to the grid for the electricity consumption type, p j is the output power of the distributed photovoltaic generator set, is the electricity supply cost of the distributed photovoltaic generator set, d j is the load of the user corresponding to the distributed photovoltaic generator set, is the electricity demand cost of the user corresponding to the distributed photovoltaic generator set.

[0059] Optionally, in the full grid connection mode, the distributed photovoltaics sell all the generated electricity to the grid, and its total benefit is equal to the electricity sales revenue minus the power generation cost. In the self-consumption with surplus electricity sold to the grid mode, the electricity generated by the distributed photovoltaics first meets the electricity demand of the user itself, and the user thus saves the cost of purchasing electricity from the grid. The total benefit is equal to the cost of electricity purchased by the user saved. In the self-consumption with surplus electricity sold to the grid mode, the distributed photovoltaics give priority to meeting the load demand of the user, and the excess part is only sold to the grid.

[0060] As an optional embodiment, the market clearing model also includes a power balance constraint condition, where the mathematical expression of the power balance constraint condition is as follows:

[0061]

[0062] Among them, D l is the load of the user corresponding to the non-distributed photovoltaic generator set, P i is the output power of the non-distributed photovoltaic generator set, p j is the output power of the distributed photovoltaic generator set, d jThe load of users corresponding to the distributed photovoltaic power generation units.

[0063] Optionally, at any given point in time, the total output power of all non-distributed and distributed photovoltaic power stations must be equal to the total electricity load demand of all users corresponding to non-distributed and distributed photovoltaics. This is a basic physical law for the operation of the power system. In short, the power balance constraint condition ensures the feasibility of the market clearing model results. Only when supply and demand are equal can the power system operate stably, avoiding overload or power shortage situations. Additionally, other relevant constraint conditions involved in the clearing may include upper and lower limits of generator output constraints, ramping constraints, etc.

[0064] As an alternative embodiment, when the market clearing result includes the target output power of the distributed photovoltaic power generation unit, it includes at least one of the following: when the current output power of the distributed photovoltaic power generation unit is less than the target output power, based on the target output power, determining the regulation strategy of the target power system as the first regulation strategy, where the first regulation strategy includes starting a standby power supply, activating an energy storage system, and cross-system power allocation; when the current output power of the distributed photovoltaic power generation unit is greater than or equal to the target output power, based on the target output power, determining the regulation strategy of the target power system as the second regulation strategy, where the second regulation strategy includes shutting down non-essential generating units, adjusting the output power of the inverter, and cross-system power allocation.

[0065] Optionally, the target output power reflects the optimal production arrangements of generating units (including distributed photovoltaics and traditional thermal power, etc.) at different time points. By solving the clearing model, an equilibrium point can be obtained, that is, a point where power supply and demand are balanced under the current conditions. Based on the above market clearing results, detailed regulation strategies can be formulated. The regulation strategies can include how to adjust the output power of generating units to ensure that all power generation resources operate according to the optimal target; at the same time, it can also consider how to guide users to adjust their electricity demand through price signals, such as suppressing non-essential electricity consumption through the marginal electricity price mechanism during peak demand periods, or encouraging electricity use through preferential electricity prices during off-peak periods to achieve dynamic balance between supply and demand.

[0066] For example, when the actual output of distributed photovoltaics is lower than the target, the first regulation strategy can be adopted, including: starting a standby power supply to supplement the power gap; activating the energy storage system to release stored electrical energy; cross-system allocation to introduce external power resources to ensure supply-demand balance. Conversely, when the output reaches or exceeds the target, the second regulation strategy can be implemented, including: shutting down non-essential traditional generating units to reduce excess power generation; adjusting the inverter to reduce the photovoltaic output to avoid grid overload; similarly, cross-system power allocation to transport excess electrical energy to demand areas, optimize resource allocation, and maintain the stability of the power system.

[0067] As an alternative embodiment, a clearing method adapted to distributed photovoltaics is also provided. Figure 4 FIG. Figure 4 is a schematic flow chart of a clearing method adapted to distributed photovoltaics provided by an alternative embodiment of the present invention. As Figure 4 shown, first, obtain the bids of conventional coal-fired power units at each moment, the predicted power generation and bids of all demand-side distributed photovoltaic power generation, and the predicted load and bids of users; based on the marginal power generation cost, carbon emission cost and factor, total net load, etc. of the corresponding units at each moment of each typical day, solve the pre-constructed distributed photovoltaic power market clearing model to determine the clearing price and clearing power of distributed photovoltaic power units at each typical day and moment. Through the above method, the needs of different types of distributed photovoltaics can be fully considered, and the efficiency and stability of the power system can be improved by accurately distinguishing the power source types.

[0068] It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0069] Through the description of the above embodiments, those skilled in the art can clearly understand that the power market clearing method according to the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions for causing a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in various embodiments of the present invention.

[0070] According to an embodiment of the present invention, a power market clearing device for implementing the above power market clearing method is also provided. Figure 5 FIG. Figure 5 is a structural block diagram of a power market clearing device provided by an embodiment of the present invention. As Figure 5 shown, the device includes: an acquisition module 51, a construction module 52, and a solution module 53. The device will be described below.

[0071] The acquisition module 51 is used to acquire the initial output power of the power generation unit, the initial power supply cost of the power generation unit, the initial load of the user, and the initial power demand cost of the user, where the power generation unit includes a non-distributed photovoltaic power generation unit and a distributed photovoltaic power generation unit.

[0072] A building module 52, connected to the obtaining module 51, is configured to build a market clearing model of the target power system, wherein the market clearing model aims to maximize the total revenue of the target power system, and the target power system includes a generating set and users.

[0073] A solving module 53, connected to the building module 52, is configured to solve the market clearing model based on the initial output power of the generating set, the initial power supply cost of the generating set, the initial load of the users, and the initial power demand cost of the users, so as to obtain the market clearing result of the target power system.

[0074] It should be noted here that the above-mentioned obtaining module 51, building module 52, and solving module 53 correspond to steps S201 to S203 in the embodiment. The instances and application scenarios implemented by multiple modules and the corresponding steps are the same, but are not limited to the content disclosed in the above-mentioned embodiment. It should be noted that the above-mentioned modules, as part of the device, can run in the computer terminal 10 provided in the embodiment.

[0075] An embodiment of the present invention can provide a computer device. Optionally, in this embodiment, the above-mentioned computer device can be located in at least one network device among multiple network devices of a computer network. The computer device includes a memory and a processor.

[0076] Among them, the memory can be used to store software programs and modules, such as program instructions / modules corresponding to the power market clearing method and device in the embodiment of the present invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, to implement the above-mentioned power market clearing method. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memories, or other non-volatile solid-state memories. In some instances, the memory may further include a memory remotely set relative to the processor, and these remote memories can be connected to the computer terminal through a network. Examples of the above-mentioned network include but are not limited to the Internet, enterprise intranets, local area networks, mobile communication networks, and their combinations.

[0077] The processor can call the information and application programs stored in the memory through the transmission device to execute the following steps: obtain the initial output power of the power generation set, the initial power supply cost of the power generation set, the initial load of the user, and the initial power demand cost of the user, where the power generation set includes a non-distributed photovoltaic power generation set and a distributed photovoltaic power generation set; construct a market clearing model for the target power system, where the market clearing model aims to maximize the total revenue of the target power system, and the target power system includes a power generation set and a user; solve the market clearing model based on the initial output power of the power generation set, the initial power supply cost of the power generation set, the initial load of the user, and the initial power demand cost of the user to obtain the market clearing result of the target power system.

[0078] Optionally, the above-mentioned processor can also execute the program code of the following steps: The target is determined based on the output power of the non-distributed photovoltaic power generation set, the power supply cost of the non-distributed photovoltaic power generation set, the load of the user corresponding to the non-distributed photovoltaic power generation set, the power demand cost of the user corresponding to the non-distributed photovoltaic power generation set, and the total benefit generated between the distributed photovoltaic power generation set and the corresponding user.

[0079] Optionally, the above-mentioned processor can also execute the program code of the following steps: The mathematical function expression of the target is as follows:

[0080]

[0081] Where C is the total revenue of the target power system, P i is the output power of the non-distributed photovoltaic power generation set, is the power supply cost of the non-distributed photovoltaic power generation set, D l is the load of the user corresponding to the non-distributed photovoltaic power generation set, is the power demand cost of the user corresponding to the non-distributed photovoltaic power generation set, π j is the total benefit generated between the distributed photovoltaic power generation set and the corresponding user.

[0082] Optionally, the above-mentioned processor can also execute the program code of the following steps: The electricity consumption types corresponding to the distributed photovoltaic power generation set include full grid connection, all self-use, and self-use with surplus power grid connection. Among them, full grid connection means that all the electricity generated by the distributed photovoltaic power generation set is transmitted to the distribution network center of the target power system, all self-use means that all the electricity generated by the distributed photovoltaic power generation set is transmitted to the corresponding user, and self-use with surplus power grid connection combines full grid connection and all self-use.

[0083] Optionally, the above-mentioned processor can also execute the program code of the following steps: The mathematical expression of the total benefit generated between the distributed photovoltaic power generation set and the corresponding user is as follows:

[0084]

[0085] Among them, is the total benefit in the case where the electricity consumption type is full grid connection. is the total benefit in the case where the electricity consumption type is all self-consumption. is the total benefit in the case where the electricity consumption type is self-consumption with surplus electricity fed into the grid, p j is the output power of the distributed photovoltaic power generation unit. is the electricity supply cost of the distributed photovoltaic power generation unit, d j is the load of the user corresponding to the distributed photovoltaic power generation unit. is the electricity demand cost of the user corresponding to the distributed photovoltaic power generation unit.

[0086] Optionally, the above processor can also execute the program code of the following steps: The market clearing model further includes a power balance constraint condition, where the mathematical expression of the power balance constraint condition is as follows:

[0087]

[0088] Among them, D l is the load of the user corresponding to the non-distributed photovoltaic power generation unit, P i is the output power of the non-distributed photovoltaic power generation unit, p j is the output power of the distributed photovoltaic power generation unit, d j is the load of the user corresponding to the distributed photovoltaic power generation unit.

[0089] Optionally, when the market clearing result includes the target output power of the distributed photovoltaic power generation unit, it includes at least one of the following: When the current output power of the distributed photovoltaic power generation unit is less than the target output power, based on the target output power, determine that the regulation strategy of the target power system is the first regulation strategy, where the first regulation strategy includes starting the standby power supply, activating the energy storage system, and cross-system power allocation; When the current output power of the distributed photovoltaic power generation unit is greater than or equal to the target output power, based on the target output power, determine that the regulation strategy of the target power system is the second regulation strategy, where the second regulation strategy includes shutting down non-essential generating units, adjusting the output power of the inverter, and cross-system power allocation.

[0090] An embodiment of the present invention provides a power market clearing method. By obtaining the initial output power of a generator set, the initial power supply cost of the generator set, the initial load of a user, and the initial power demand cost of the user, where the generator set includes a non-distributed photovoltaic generator set and a distributed photovoltaic generator set; constructing a market clearing model for a target power system, where the market clearing model aims to maximize the total revenue of the target power system, and the target power system includes a generator set and a user; based on the initial output power of the generator set, the initial power supply cost of the generator set, the initial load of the user, and the initial power demand cost of the user, solving the market clearing model to obtain the market clearing result of the target power system, the purpose of making the clearing mechanism of the power market better adapt to distributed photovoltaics is achieved, thereby realizing the technical effects of improving the economic efficiency of the power market, enhancing the stability and reliability of the power system, and further solving the technical problem that the current power market clearing method does not adapt to the participation of multiple types of distributed photovoltaics in the market and the market-oriented scheduling of distributed photovoltaics.

[0091] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the relevant hardware of the terminal device through a program, and the program can be stored in a non-volatile storage medium. The storage medium can include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc, etc.

[0092] An embodiment of the present invention also provides a non-volatile storage medium. Optionally, in this embodiment, the above non-volatile storage medium can be used to store the program code executed by the power market clearing method provided in the above embodiment.

[0093] Optionally, in this embodiment, the above non-volatile storage medium can be located in any one of the computer terminals in a computer terminal group in a computer network, or in any one of the mobile terminals in a mobile terminal group.

[0094] Optionally, in this embodiment, the non-volatile storage medium is set to store program code for performing the following steps: obtaining the initial output power of a generator set, the initial power supply cost of the generator set, the initial load of a user, and the initial power demand cost of the user, where the generator set includes a non-distributed photovoltaic generator set and a distributed photovoltaic generator set; constructing a market clearing model for a target power system, where the market clearing model aims to maximize the total revenue of the target power system, and the target power system includes a generator set and a user; based on the initial output power of the generator set, the initial power supply cost of the generator set, the initial load of the user, and the initial power demand cost of the user, solving the market clearing model to obtain the market clearing result of the target power system.

[0095] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: The target is determined based on the output power of the non-distributed photovoltaic power generation unit, the power supply cost of the non-distributed photovoltaic power generation unit, the load of the user corresponding to the non-distributed photovoltaic power generation unit, the power demand cost of the user corresponding to the non-distributed photovoltaic power generation unit, and the total benefit generated between the distributed photovoltaic power generation unit and the corresponding user.

[0096] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: The mathematical function expression of the target is as follows:

[0097]

[0098] Where C is the total revenue of the target power system, P i is the output power of the non-distributed photovoltaic power generation unit, is the power supply cost of the non-distributed photovoltaic power generation unit, D l is the load of the user corresponding to the non-distributed photovoltaic power generation unit, is the power demand cost of the user corresponding to the non-distributed photovoltaic power generation unit, π j is the total benefit generated between the distributed photovoltaic power generation unit and the corresponding user.

[0099] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: The power consumption types corresponding to the distributed photovoltaic power generation unit include full grid connection, all self-use, and self-use with surplus power grid connection. Among them, full grid connection means that all the electricity generated by the distributed photovoltaic power generation unit is transmitted to the distribution network center of the target power system, all self-use means that all the electricity generated by the distributed photovoltaic power generation unit is transmitted to the corresponding user, and self-use with surplus power grid connection combines full grid connection and all self-use.

[0100] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: The mathematical expression of the total benefit generated between the distributed photovoltaic power generation unit and the corresponding user is as follows:

[0101]

[0102] Where is the total benefit in the case of full grid connection for the power consumption type, is the total benefit in the case of all self-use for the power consumption type, is the total benefit in the case of self-use with surplus power grid connection for the power consumption type, p jis the output power of the distributed photovoltaic power generation unit, is the power supply cost of the distributed photovoltaic power generation unit, d j is the load of the user corresponding to the distributed photovoltaic power generation unit, is the electricity demand cost of the user corresponding to the distributed photovoltaic power generation unit.

[0103] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: The market clearing model further includes a power balance constraint condition, where the mathematical expression of the power balance constraint condition is as follows:

[0104]

[0105] where D l is the load of the user corresponding to the non-distributed photovoltaic power generation unit, P i is the output power of the non-distributed photovoltaic power generation unit, p j is the output power of the distributed photovoltaic power generation unit, d j is the load of the user corresponding to the distributed photovoltaic power generation unit.

[0106] Optionally, in this embodiment, the non-volatile storage medium is configured to store program code for performing the following steps: When the market clearing result includes the target output power of the distributed photovoltaic power generation unit, it includes at least one of the following: When the current output power of the distributed photovoltaic power generation unit is less than the target output power, based on the target output power, determine that the regulation strategy of the target power system is the first regulation strategy, where the first regulation strategy includes starting a standby power supply, activating an energy storage system, and cross-system power allocation; When the current output power of the distributed photovoltaic power generation unit is greater than or equal to the target output power, based on the target output power, determine that the regulation strategy of the target power system is the second regulation strategy, where the second regulation strategy includes shutting down non-essential generating units, adjusting the output power of the inverter, and cross-system power allocation.

[0107] An embodiment of the present invention further provides a computer program product, including a computer program. Optionally, in this embodiment, when the computer program is executed by a processor, it can implement: obtaining the initial output power of the power generation set, the initial power supply cost of the power generation set, the initial load of the user, and the initial power demand cost of the user, where the power generation set includes a non-distributed photovoltaic power generation set and a distributed photovoltaic power generation set; constructing a market clearing model of the target power system, where the market clearing model aims to maximize the total revenue of the target power system, and the target power system includes a power generation set and a user; and solving the market clearing model based on the initial output power of the power generation set, the initial power supply cost of the power generation set, the initial load of the user, and the initial power demand cost of the user to obtain the market clearing result of the target power system.

[0108] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0109] In the above embodiments of the present invention, the descriptions of the respective embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0110] In several embodiments provided in the present application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only illustrative. For example, the division of the units can be a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the units or modules can be in an electrical or other form.

[0111] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0112] In addition, the functional units in the various embodiments of the present invention can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0113] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a non-volatile storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media that can store program codes, such as USB flash drives, read-only memories (ROMs), random access memories (RAMs), mobile hard disks, magnetic disks, or optical discs.

[0114] The foregoing are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A power market clearing method, characterized in that, Including: Obtain the initial output power of the power generation set, the initial power supply cost of the power generation set, the initial load of the user, and the initial power demand cost of the user, where the power generation set includes a non-distributed photovoltaic power generation set and a distributed photovoltaic power generation set; Construct a market clearing model for the target power system, where the market clearing model aims to maximize the total revenue of the target power system, and the target power system includes the power generation set and the user; Solve the market clearing model based on the initial output power of the power generation set, the initial power supply cost of the power generation set, the initial load of the user, and the initial power demand cost of the user to obtain the market clearing result of the target power system.

2. The method according to claim 1, characterized in that, The target is determined based on the output power of the non-distributed photovoltaic power generation set, the power supply cost of the non-distributed photovoltaic power generation set, the load of the user corresponding to the non-distributed photovoltaic power generation set, the power demand cost of the user corresponding to the non-distributed photovoltaic power generation set, and the total benefit generated between the distributed photovoltaic power generation set and the corresponding user.

3. The method according to claim 2, wherein The mathematical function expression of the target is as follows: Among them, C is the total revenue of the target power system, P i is the output power of the non-distributed photovoltaic generator set, is the power supply cost of the non-distributed photovoltaic generator set, D l is the load of the user corresponding to the non-distributed photovoltaic generator set, is the power demand cost of the user corresponding to the non-distributed photovoltaic generator set, π j is the total benefit generated between the distributed photovoltaic generator set and the corresponding user.

4. The method according to claim 3, characterized in that The electricity consumption types corresponding to the distributed photovoltaic power generation set include full grid connection, all self-use, and self-use with surplus electricity grid connection. Among them, full grid connection means that all the electricity generated by the distributed photovoltaic power generation set is transmitted to the distribution network center of the target power system, all self-use means that all the electricity generated by the distributed photovoltaic power generation set is transmitted to the corresponding user, and self-use with surplus electricity grid connection combines full grid connection and all self-use.

5. The method according to claim 4, characterized in that The mathematical expression of the total benefit generated between the distributed photovoltaic power generation set and the corresponding user is as follows: Among them, is the total benefit when the electricity consumption type is full grid connection, is the total benefit when the electricity consumption type is all self-consumption, is the total benefit when the electricity consumption type is self-consumption with surplus electricity fed into the grid, p j is the output power of the distributed photovoltaic power generation unit, is the electricity supply cost of the distributed photovoltaic power generation unit, d j is the load of the user corresponding to the distributed photovoltaic power generation unit, is the electricity demand cost of the user corresponding to the distributed photovoltaic power generation unit.

6. The method according to claim 1, characterized in that, The market clearing model further includes a power balance constraint condition, where the mathematical expression of the power balance constraint condition is as follows: Among them, D l is the load of the user corresponding to the non-distributed photovoltaic power generation unit, P i is the output power of the non-distributed photovoltaic power generation unit, p j is the output power of the distributed photovoltaic power generation unit, d j is the load of the user corresponding to the distributed photovoltaic power generation unit.

7. The method according to any one of claims 1 to 6, characterized in that When the market clearing result includes the target output power of the distributed photovoltaic power generation set, it includes at least one of the following: When the current output power of the distributed photovoltaic power generation set is less than the target output power, based on the target output power, determine the regulation strategy of the target power system as the first regulation strategy, where the first regulation strategy includes starting a standby power supply, activating an energy storage system, and cross-system power allocation; When the current output power of the distributed photovoltaic power generation set is greater than or equal to the target output power, based on the target output power, determine the regulation strategy of the target power system as the second regulation strategy, where the second regulation strategy includes shutting down unnecessary power generation sets, adjusting the output power of the inverter, and cross-system power allocation.

8. A power market clearing device, characterized in that, Including: An acquisition module for obtaining the initial output power of the power generation set, the initial power supply cost of the power generation set, the initial load of the user, and the initial power demand cost of the user, where the power generation set includes a non-distributed photovoltaic power generation set and a distributed photovoltaic power generation set; A building module for building a market clearing model of a target power system, wherein the market clearing model aims to maximize the total revenue of the target power system, and the target power system includes the generator set and the users; A solving module for solving the market clearing model based on the initial output power of the generator set, the initial power supply cost of the generator set, the initial load of the users, and the initial power demand cost of the users to obtain the market clearing result of the target power system.

9. A non-volatile storage medium, characterized in that, The non-volatile storage medium includes a stored program, wherein when the program runs, it controls the device where the non-volatile storage medium is located to execute the power market clearing method according to any one of claims 1 to 7.

10. A computer device, characterized in that, Comprising: A memory and a processor, The memory stores a computer program; The processor is configured to execute the computer program stored in the memory, and when the computer program runs, the processor executes the power market clearing method according to any one of claims 1 to 7.

11. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the power market clearing method according to any one of claims 1 to 7.

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