CN112001540A - Multi-state division day-ahead planning and market clearing method, system, equipment and medium - Google Patents
Multi-state division day-ahead planning and market clearing method, system, equipment and medium Download PDFInfo
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Abstract
The invention belongs to the field of electric power markets, and discloses a method, a system, equipment and a medium for multi-state division day-ahead planning and market clearing, wherein the method comprises the steps of acquiring operation data of a power grid, operation boundary conditions of the power grid and declaration information; acquiring the current running state of each device in the power grid; determining the operation state of each device in the next day according to the operation data and the current operation state of each device; determining the maximum declared power generation capacity of the power grid according to the operating state of each device in the next day, and checking the declared information according to the maximum declared power generation capacity; and according to the operation data of the power grid, the operation state of each device in the next day, the operation boundary conditions of the power grid and the declaration information that the verification passes, the power generation cost is minimized as an optimization target, and the market is cleared before the current electric power commodity day. And the accuracy of the clearing result of the spot market before the day is effectively improved based on the multi-state division of the operation state.
Description
Technical Field
The invention belongs to the field of power markets, and relates to a method, a system, equipment and a medium for multi-state division day-ahead planning and market clearing.
Background
With the rapid advance of the market reformation of the electric power, the market trading electric quantity scale is continuously enlarged, and higher requirements are put forward on the rationality of a power grid network model and the market clearing result before the spot date of the electric power. In the field of electric power markets, the clearing of the electric power spot-goods day-ahead market is based on market member declaration information and power grid operation boundary conditions, optimized calculation is carried out by adopting a safety constraint unit combination and a safety constraint economic dispatching program, and the clearing is carried out to obtain an electric power spot-goods day-ahead market trading result. Therefore, the validity of the declaration of the market member and the accuracy of the operation boundary condition of the power grid are the key points of the rationality and the accuracy of the clearing result of the market in the future.
At present, the coming market clearing process is often based on declaration data which only accords with declaration rules and is simply verified and a network model which is not fine enough, specifically, in the current power grid network model, equipment in a power grid is only in an operation state and a shutdown state, the state description is single, accurate description of the power grid state cannot be met, further the reason of shutdown of the equipment cannot be controlled, the available state of the equipment cannot be determined in a future state, the availability of a result calculated by the network model is relatively poor, and the actual coming market clearing result in the future cannot be truly and reliably reflected.
Disclosure of Invention
The invention aims to overcome the defect that the actual clearing result of the market in the day before can not be truly and reliably reflected in the prior art, and provides a method, a system, equipment and a medium for multi-modal division day-ahead planning and market clearing.
In order to achieve the purpose, the invention adopts the following technical scheme to realize the purpose:
in a first aspect of the invention, a method for multi-state division day-ahead planning and market clearing comprises the following steps:
acquiring operation data of a power grid, operation boundary conditions of the power grid and declaration information;
acquiring the current running state of each device in the power grid;
determining the operation state of each device in the next day according to the operation data and the current operation state of each device;
determining the maximum declared power generation capacity of the power grid according to the operating state of each device in the next day, and checking the declared information according to the maximum declared power generation capacity;
and according to the operation data of the power grid, the operation state of each device in the next day, the operation boundary conditions of the power grid and the declaration information that the verification passes, taking the minimization of the power generation cost as an optimization target, and carrying out the market clearing of the current electric power goods in the day ahead to obtain a clearing result.
The present invention further improves the current planning and market clearing method of polymorphic division:
the operation data comprises a network model, equipment parameters, an equipment operation plan, an equipment retirement plan, an equipment power failure maintenance plan, a bus board receiving mode and unit operation parameters.
The specific method for determining the operation state of each device in the next day according to the operation data and the current operation state of each device comprises the following steps: the method comprises the steps of constructing a network topology according to an equipment commissioning plan, an equipment decommissioning plan, an equipment power failure maintenance plan and a bus receiving board mode, and determining the operation state of each equipment in the next day based on the logical relation of the network topology and the current operation state of each equipment, wherein the operation state comprises maintenance, fault accompanying and stopping, maintenance accompanying and stopping, availability and island availability.
The specific method for determining the maximum declared power generation capacity of the power grid according to the operating state of each device in the next day comprises the following steps of: determining the operation state of each unit in the power grid according to the operation state of each device in the next day; determining the maximum output of each unit according to the operation state and the operation parameters of each unit, and superposing the maximum outputs of all the units to obtain the maximum declared power generation capacity of the power grid; when the maximum value of the power generation capacity of the power grid in the declaration information is not greater than the maximum declaration power generation capacity, the declaration information passes the verification; otherwise, the declaration information is not checked to be passed.
The power grid operation boundary conditions comprise system load prediction, bus load prediction, a tie-line plan, a medium-long term plan, a delivery plan and a fixed output plan.
The specific method for clearing the market before the current electric power goods day according to the running data of the power grid, the running state of each device in the next day, the running boundary conditions of the power grid and the declaration information that the verification passes and with the power generation cost minimized as the optimization target comprises the following steps:
t1: according to the operation data of the power grid, a future state network model of the power grid is constructed by combining the operation state of each device in the next day; calculating the sensitivity of the power grid according to the future state network model to obtain a sensitivity matrix of the power grid;
t2: according to the future state network model, the sensitivity matrix, the power grid operation boundary condition and the declaration information passing the verification, the optimization objective of minimizing the power generation cost is adopted, and the optimization calculation of the market clearing before the current electric power goods day is carried out by adopting a safety constraint unit combination method and a safety constraint economic dispatching method to obtain the clearing result.
Further comprising:
t3: calculating direct current load flow data of the power grid according to the future state network model and the sensitivity matrix;
t4: when the direct current power flow data exceeds the preset power flow margin range, adjusting the output of each unit in the power grid according to the sensitivity matrix, updating a future state network model and the power grid operation boundary conditions according to the output of each unit, returning to T2, and updating the current output result; otherwise, outputting a clear result.
In a second aspect of the present invention, a system for multi-modal division day-ahead planning and market clearing comprises:
the first acquisition module is used for acquiring operation data of a power grid, power grid operation boundary conditions and declaration information;
the second acquisition module is used for acquiring the current operation state of each device in the power grid;
the state determining module is used for determining the operating state of each device in the next day according to the operating data and the current operating state of each device;
the verification module is used for determining the maximum declared power generation capacity of the power grid according to the operating state of each device in the next day and verifying the declared information according to the maximum declared power generation capacity; and
and the clearing result generating module is used for carrying out the market clearing before the current electric power goods day by taking the minimization of the power generation cost as an optimization target according to the operation data of the power grid, the operation state of each device in the next day, the operation boundary condition of the power grid and the declaration information passing the verification to obtain a clearing result.
In a third aspect of the present invention, a terminal device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for planning and clearing the polymorphic partitions in the day and the market when executing the computer program.
In a fourth aspect of the present invention, a computer readable storage medium stores a computer program which, when executed by a processor, implements the steps of the above-described methods for day-ahead planning and market clearing of polymorphic divisions.
Compared with the prior art, the invention has the following beneficial effects:
according to the multi-state-division day-ahead planning and market clearing method, the operation state of each device in the next day is determined according to the operation data of the power grid and the current operation state of each device, and compared with the device state of operation and outage, the operation condition of each device can be more accurately determined by adopting the specific operation state of the device, so that the accurate output condition of each device is obtained, the accurate maximum declared power generation capacity of the power grid is further obtained, the more accurate declared power generation capacity constraint is realized, and a more accurate safety constraint boundary is provided for market clearing before the current date of electric power; and further, the accuracy of future dynamic load flow calculation is improved, the accuracy and the reasonability of the market clearing result before the current electric power commodity date are improved, market trading behaviors are guided reasonably, and the current commodity trading is guaranteed to be feasible.
Furthermore, the operation states are finely divided, and the operation states comprise various states of maintenance, fault accompanying and stopping, maintenance accompanying and stopping, availability and island availability, and based on the division of the multiple states, the accuracy of judging the operation state of each device in the next day is greatly improved, and more accurate device output conditions are obtained; meanwhile, the refinement level of a future state network model of the power grid is improved, and the accuracy and the reasonability of the market clearing result before the current electric power market date are improved.
Drawings
FIG. 1 is a block diagram of a flow chart of a method for multi-modal partitioning for day-ahead planning and market clearing in one embodiment of the present invention;
FIG. 2 is a block diagram of a flow chart of a method for multi-modal partitioning for day-ahead planning and market clearing in another embodiment of the present invention;
FIG. 3 is a block diagram of a day-ahead planning and market clearing system for polymorphic partitioning in another embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
First, terms related to the present invention are explained.
Market day ahead: the operation day is carried out one day (D-1 day) in advance, and the electric energy trading market of the unit combination state and the power generation plan on the operation day (D day) is determined.
Market declaration: the market main body declares various data information including static attribute registration data, operation technical parameters, economic parameters and the like in a specified time range according to the requirements of the spot market.
The market is clear: the electric power market determines the transaction amount and price through competitive pricing according to market rules.
And (3) safety constraint unit combination: under the condition of meeting the safety constraint of the power grid, a multi-period unit starting and stopping plan is made by taking the maximization of social welfare or the minimization of the total power supply cost of the system as optimization targets.
Safety constraint economic dispatch: under the condition of meeting the safety constraint of a power grid, a multi-time-interval unit power generation plan is formulated by taking the maximization of social welfare or the minimization of the total power supply cost of a system as optimization targets.
And (4) safety checking: and analyzing the safety process of the maintenance plan, the power generation plan, the market clearing result, the power grid operation and other contents from the perspective of the power grid operation safety. The analysis method comprises static safety analysis, transient stability analysis, dynamic stability analysis, voltage stability analysis and the like.
The invention is described in further detail below with reference to the accompanying drawings:
referring to fig. 1, in one embodiment of the invention, a polymorphic future state network model is constructed, so that constraint on power grid declared power generation capacity and a network model for sensitivity calculation are realized, a network model which can reflect the real condition of a power grid and a more accurate safety constraint boundary are provided for the day-ahead market clearing, more reasonable and more accurate current-market clearing results of electric power can be obtained, and technical support is provided for the deep reform of an electric power market. The day-ahead planning and market clearing method for polymorphic division comprises the following steps:
s1: acquiring operation data of a power grid, operation boundary conditions of the power grid and declaration information; and acquiring the current running state of each device in the power grid, wherein the running state comprises maintenance, fault accompanying and stopping, maintenance accompanying and stopping, availability and island availability.
Specifically, in order to analyze and process the power grid, various data of the power grid are acquired first. At present, various data of a power grid are generally directly acquired through a dispatching mechanism and a trading mechanism, for example, a D5000 platform is used for data acquisition, the D5000 platform is a power grid dispatching technology support system and is used for functions of real-time monitoring of power grid operation, online stability analysis, dispatching service management and the like, and the data acquisition of the power grid can be directly performed through the platform.
The operation data comprises a network model of the power grid, equipment parameters, an equipment operation plan, an equipment retirement plan, an equipment power failure maintenance plan, a bus board receiving mode, unit operation parameters and the like. The network model, the equipment parameters, the equipment operation plan, the equipment retirement plan, the equipment power failure maintenance plan and the bus plate receiving mode are subsequently used for determining the operation state of each piece of equipment in the power grid in the next day, and the unit operation parameters are used for determining the output condition of each unit in the power grid. The units, bus bars, transformers, etc. in the grid are referred to herein as devices, and the units are specifically the generator units in the grid.
The grid operation boundary conditions of the power grid are generally obtained by a dispatching mechanism and a trading mechanism, and comprise grid operation boundary conditions required by market clearing, such as system load prediction, bus load prediction, a tie line plan, a medium-long term plan, an outgoing plan, a fixed output plan and the like, so that a data basis is provided for subsequent market clearing optimization calculation and direct current flow data calculation.
The declaration information of the power grid is information which needs to be declared when the power grid participates in the spot market. In general, the power market rules stipulate that the maximum output of the power grid needs to be declared when the power grid participates in the spot market, and the price information needs to be declared at the same time, namely the output of each gear has a corresponding price, and meanwhile, the maximum output declared by the power grid does not exceed the maximum declared power generation capacity, so that the declared output can be realized.
The method is characterized in that the current operation state of each device in the power grid is determined by combining operation data of the power grid, namely a device commissioning plan, a device decommissioning plan, a device power failure maintenance plan and a bus receiving mode, and the operation state is divided into maintenance, fault accompanying and stopping, maintenance accompanying and stopping, available and island available, which is different from the current two states of operation and outage, so that the fine division of the operation state is realized, and the operation condition of the device is more accurately grasped.
S2: and determining the operation state of each equipment in the next day according to the operation data and the current operation state of each equipment.
Specifically, the operation data referred to herein are a network model, device parameters, a device commissioning plan, a device decommissioning plan, a device power outage maintenance plan, and a bus connection plate mode, and the data are related to the operation state and the future operation state of each device in the power grid, and the data are combined to build a network topology, where the network topology is the live state of all devices in the power grid, such as the on/off state of a switch and a disconnecting link, the line commissioning, the off, and the charging state, the bus operation, the off, the parallel operation, the split operation, and the like, and the unit is connected to the power generation and the shutdown, and the operation, the off, the no-load, and the like of a transformer. And further, the current operation state of each device in the power grid is combined, and the operation state of each device such as a unit, a bus and a transformer in the power grid in the next day is determined based on the logical relation of the network topology, so that the method is used for determining the maximum declared power generation capacity and constructing a future state network model.
In this embodiment, the operating state is divided into maintenance, fault accompanying and stopping, maintenance accompanying and stopping, available state and island available, and the polymorphic division of equipment state is realized, and the benefit of doing so is that the operating condition of each equipment can be accurately determined, promotes the accuracy of judging the operating state of each equipment in the next day. Compared with the current network model in which the states of the equipment such as the unit, the line and the transformer are only in the running state and the shutdown state, the state description is single, accurate description of the states of the equipment cannot be met, the reason for shutdown of the control equipment cannot be met, and the available state of the equipment cannot be determined in the future state; through multi-state division, the method can accurately determine the operation condition of the equipment, further accurately determine the output condition of each equipment, and simultaneously can build a more refined future state network model so as to obtain a more accurate market clearing result.
S3: and determining the maximum declared power generation capacity of the power grid according to the operation state of each device in the next day, and checking the declared information according to the maximum declared power generation capacity.
Determining the operation state of each unit in the power grid according to the operation state of each device in the next day; the maximum output of each unit is determined according to the operation state of each unit, the maximum output of all the units is superposed to obtain the maximum declared power generation capacity of the power grid, specifically, the maximum output of the power grid at the moment can be known by knowing the state of each unit according to the operation state of each device in the next day, if a planning unit comprises three units A, B and C, and the fault C of the maintenance B of the A is available, the maximum output of the power grid is determined by the C, the maximum output exceeding the C cannot be declared, and the maximum output of the C is the maximum declared power generation capacity of the power grid.
The method is different from the existing two states of operation and outage, the operation states comprise maintenance, fault accompanying and stopping, maintenance accompanying and stopping, availability and island availability, each state corresponds to different output conditions, and the output condition and the maximum output of the generator set can be obtained more accurately through fine division of the operation states, so that the accurate maximum declared power generation capacity of the power grid is obtained.
The declaration information is verified according to the maximum declaration power generation capacity, whether the maximum declaration power output declared by the power grid conforms to the actual state of each device in the power grid or not is verified and judged, if the verification is passed, the declaration information is used as effective declaration information, namely, the declaration information meeting the following formula is used as effective declaration information:
pm,t≤Pm,t
wherein p ism,tRepresenting the power generation capacity declared by the power plant m at the moment t; pm,tRepresenting the maximum declared power generation of the plant m calculated in the above-described manner at time tCapability.
When the maximum value of the power grid output in the declaration information is not greater than the maximum declaration power generation capacity, the declaration information passes the verification; otherwise, the declared information is not verified, the maximum value of the declared power grid output needs to be modified by the power grid according to the maximum declared power generation capacity, and the maximum declared power generation capacity cannot be exceeded.
The reporting information is that the power grid reports information to a scheduling mechanism, the scheduling mechanism is only responsible for acquiring and verifying the reporting information, and the reporting information passing the verification is used for optimizing and calculating the market clearing.
S4: and according to the operation data of the power grid, the operation state of each device in the next day, the operation boundary conditions of the power grid and the declaration information that the verification passes, taking the minimization of the power generation cost as an optimization target, and carrying out the market clearing of the current electric power goods in the day ahead to obtain a clearing result.
Specifically, the method comprises the following steps:
t1: according to the operation data of the power grid, a future state network model of the power grid is constructed by combining the operation state of each device in the next day; and calculating the sensitivity of the power grid according to the future state network model to obtain a sensitivity matrix.
The future state network model constructed here is constructed based on the operating states of the above multiple states, and the most difference from the network model constructed in the existing manner lies in that the states of each device are more finely divided, and the future state network model accurately determines the future state of each device, so as to ensure that the clearing result calculated based on the future state network model is more accurate and more in line with the actual situation.
Specifically, according to a future state network model, obtaining the impedance of equipment on two sides of each node of the power grid and the impedance of each line in a corresponding time period, calculating the sensitivity of each line tide to the active power output of each node according to the impedance of the equipment on two sides of the node of the power grid and the impedance of the line, and combining to obtain a sensitivity matrix:
ski＝(xpi-xqi)/xk
wherein s iskiLine tide for representing k-th lineSensitivity of flow to active power output of ith node, xpiAnd xqiRespectively representing the impedance values, x, of the devices on either side of node ikRepresenting the impedance of line k.
Sensitivity is how much, for a given operating state of equipment within the grid, certain quantities, when changed, cause other quantities to change. The sensitivity value can also be used for safety check, for example, when a certain section is out of limit, which devices should be adjusted, and how much should be adjusted to make the section not out of limit, the safety check can be performed.
T2: according to a future state network model, a sensitivity matrix, a power grid operation boundary condition and declaration information passing verification, the optimization objective of minimizing power generation cost is adopted, and a Safety Constraint Unit Combination (SCUC) method and a Safety Constraint Economic Dispatching (SCED) method are adopted to carry out market clearing optimization calculation before the current electric power goods date to obtain clearing results.
The Safety Constraint Unit Combination (SCUC) method and the Safety Constraint Economic Dispatching (SCED) method are mature market clearing optimization calculation methods in the field of power grids, and can be seen in Guangdong electric power market rules. By adopting the method, only a future state network model, a power grid operation boundary condition and declaration information passing verification are integrated, an objective function of optimization calculation is determined, and then a day-ahead market clearing model is constructed, namely the day-ahead market clearing model can be solved through the two methods, and then a unit starting and stopping plan, a unit power generation plan and a market clearing price of the power grid are obtained.
The present invention relates to a method for multi-state division day-ahead planning and market clearing, which is based on a future state network model generated by equipment multi-state division, realizes the constraint of maximum declaration power generation capacity of a power grid and provides a more accurate safety constraint boundary for day-ahead spot market clearing, and uses the minimum of the whole network power generation cost as an optimization target based on verified market member declaration information and more accurate market boundary conditions of operation days, and further adopts a safety constraint unit combination and a safety constraint economic dispatching program to carry out optimization calculation, and the clearing obtains a market trading result, so that the accuracy of the spot day-ahead market clearing result is improved.
Referring to fig. 2, in a further embodiment of the present invention, a method for day-ahead planning and market clearing of polymorphic partitioning is disclosed, which includes, in addition to all steps of the method for day-ahead planning and market clearing of polymorphic partitioning in the previous embodiment, S4 further includes a security check step, and specifically includes the following steps:
t3: and calculating the direct current load flow data of the power grid according to the future state network model and the sensitivity matrix.
T4: when the direct current power flow data exceeds the preset power flow margin range, adjusting the output of each unit in the power grid according to the sensitivity matrix, updating a future state network model and the power grid operation boundary conditions according to the output of each unit, returning to T2, and updating the current output result; otherwise, outputting a clear result.
Because each device can preset a power flow margin range based on the characteristics of the device, safety check is to compare the power flow data obtained by calculation with the preset power flow margin ranges, and the safety check is to check whether the power flow result meets the requirements of the margin, such as whether a line, a transformer and a section are overloaded, and then adjust the output condition of the corresponding unit according to the sensitivity. The transformer, the line, the section, the unit and the like have own reasonable voltage and current margin ranges, the calculated tidal current is reasonable in the range, if the calculated tidal current exceeds the range, the out-of-limit condition of the equipment is required to be adjusted, if the calculated tidal current does not pass the safety check, the out-of-limit condition of the equipment is required to be adjusted, when the out-of-limit condition is adjusted, which generator sets are required to be adjusted is determined according to the sensitivity, the section is not out-of-limit until the section is adjusted, and the safety check can be carried.
And determining a final clearing result according to the clearing result after passing the safety check, adjusting the output condition of the generator set according to the clearing result which does not pass the safety check, updating a future state network model and a power grid operation boundary condition, performing market clearing optimization calculation before the current electric power shipment day by adopting a safety constraint unit combination method and a safety constraint economic dispatching method again to obtain a new clearing result, and performing the safety check again until the safety check is passed.
Referring to fig. 3, in yet another embodiment of the present invention, a system for multi-modal division day-ahead planning and market clearing is disclosed, which includes a first obtaining module, a second obtaining module, a status determining module, a verifying module, and a clearing result generating module.
The first acquisition module is used for acquiring operation data of a power grid, power grid operation boundary conditions and declaration information; the second acquisition module is used for acquiring the current operation state of each device in the power network; the state determining module is used for determining the operating state of each device in the next day according to the operating data and the current operating state of each device; the verification module is used for determining the maximum declared power generation capacity of the power grid according to the operating state of each device in the next day and verifying the declared information according to the maximum declared power generation capacity; and the clearing result generating module is used for carrying out market clearing before the current electric power goods day according to the running data of the power grid, the running state of each device in the next day, the running boundary conditions of the power grid and the declaration information passing the verification, and taking the minimization of the power generation cost as an optimization target to obtain a clearing result.
In yet another embodiment of the present invention, a terminal device is disclosed that includes a processor and a memory for storing a computer program comprising program instructions, the processor being configured to execute the program instructions stored by the computer storage medium. The Processor may be a Central Processing Unit (CPU), or may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable gate array (FPGA) or other Programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, etc., which is a computing core and a control core of the terminal, and is adapted to implement one or more instructions, and is specifically adapted to load and execute one or more instructions to implement a corresponding method flow or a corresponding function; the processor provided by the embodiment of the invention can be used for the operation of the day-ahead planning and market clearing method of polymorphic division, and comprises the following steps: acquiring operation data of a power grid, operation boundary conditions of the power grid and declaration information; acquiring the current running state of each device in the power grid; determining the operation state of each device in the next day according to the operation data and the current operation state of each device; determining the maximum declared power generation capacity of the power grid according to the operating state of each device in the next day, and checking the declared information according to the maximum declared power generation capacity; and according to the operation data of the power grid, the operation state of each device in the next day, the operation boundary conditions of the power grid and the declaration information that the verification passes, taking the minimization of the power generation cost as an optimization target, and carrying out the market clearing of the current electric power goods in the day ahead to obtain a clearing result.
In still another embodiment, the present invention further provides a storage medium, specifically a computer-readable storage medium (Memory), which is a Memory device in a terminal device and is used for storing programs and data. It is understood that the computer readable storage medium herein may include a built-in storage medium in the terminal device, and may also include an extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also, one or more instructions, which may be one or more computer programs (including program code), are stored in the memory space and are adapted to be loaded and executed by the processor. It should be noted that the computer-readable storage medium may be a high-speed RAM memory, or may be a non-volatile memory (non-volatile memory), such as at least one disk memory.
One or more instructions stored in the computer-readable storage medium may be loaded and executed by the processor to implement the corresponding steps of the method for multi-modal partitioning for day-ahead planning and market clearing in the embodiments described above; one or more instructions in the computer-readable storage medium are loaded by the processor and perform the steps of: acquiring operation data of a power grid, operation boundary conditions of the power grid and declaration information; acquiring the current running state of each device in the power grid; determining the operation state of each device in the next day according to the operation data and the current operation state of each device; determining the maximum declared power generation capacity of the power grid according to the operating state of each device in the next day, and checking the declared information according to the maximum declared power generation capacity; and according to the operation data of the power grid, the operation state of each device in the next day, the operation boundary conditions of the power grid and the declaration information that the verification passes, taking the minimization of the power generation cost as an optimization target, and carrying out the market clearing of the current electric power goods in the day ahead to obtain a clearing result.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A day-ahead planning and market clearing method for polymorphic division is characterized by comprising the following steps:
acquiring operation data of a power grid, operation boundary conditions of the power grid and declaration information;
acquiring the current running state of each device in the power grid;
determining the operation state of each device in the next day according to the operation data and the current operation state of each device;
determining the maximum declared power generation capacity of the power grid according to the operating state of each device in the next day, and checking the declared information according to the maximum declared power generation capacity;
and according to the operation data of the power grid, the operation state of each device in the next day, the operation boundary conditions of the power grid and the declaration information that the verification passes, taking the minimization of the power generation cost as an optimization target, and carrying out the market clearing of the current electric power goods in the day ahead to obtain a clearing result.
2. The method of multi-modal partitioning for day-ahead planning and market clearing of claim 1, wherein the operational data comprises a network model, equipment parameters, an equipment commissioning plan, an equipment decommissioning plan, an equipment blackout maintenance plan, a bus branding mode, and unit operational parameters.
3. The method of claim 2, wherein the specific method of determining the operational status of each device on a subsequent day based on the operational data and the current operational status of each device is:
the method comprises the steps of constructing a network topology according to an equipment commissioning plan, an equipment decommissioning plan, an equipment power failure maintenance plan and a bus receiving board mode, and determining the operation state of each equipment in the next day based on the logical relation of the network topology and the current operation state of each equipment, wherein the operation state comprises maintenance, fault accompanying and stopping, maintenance accompanying and stopping, availability and island availability.
4. The method for multi-state partitioning day-ahead planning and market clearing according to claim 2, wherein the method for determining the maximum declared power generation capacity of the power grid according to the operating state of each device on the next day comprises the following specific steps:
determining the operation state of each unit in the power grid according to the operation state of each device in the next day; determining the maximum output of each unit according to the operation state and the operation parameters of each unit, and superposing the maximum outputs of all the units to obtain the maximum declared power generation capacity of the power grid; when the maximum value of the power generation capacity of the power grid in the declaration information is not greater than the maximum declaration power generation capacity, the declaration information passes the verification; otherwise, the declaration information is not checked to be passed.
5. The method of polymorphic divided day-ahead planning and market clearing according to claim 1, wherein the grid operating boundary conditions include system load forecasting, bus load forecasting, tie line planning, medium and long term planning, delivery planning, and fixed output planning.
6. The method for multi-modal division day-ahead planning and market clearing according to claim 1, wherein the method for performing the day-ahead market clearing of the current electric power with the power generation cost minimized as an optimization objective according to the operation data of the power grid, the operation state of each device on the next day, the operation boundary conditions of the power grid, and the declaration information that the check passes, and obtaining the clearing result comprises:
t1: according to the operation data of the power grid, a future state network model of the power grid is constructed by combining the operation state of each device in the next day; calculating the sensitivity of the power grid according to the future state network model to obtain a sensitivity matrix of the power grid;
t2: according to the future state network model, the sensitivity matrix, the power grid operation boundary condition and the declaration information passing the verification, the optimization objective of minimizing the power generation cost is adopted, and the optimization calculation of the market clearing before the current electric power goods day is carried out by adopting a safety constraint unit combination method and a safety constraint economic dispatching method to obtain the clearing result.
7. The method for day-ahead planning and market clearing of polymorphic partitions according to claim 6, further comprising:
t3: calculating direct current load flow data of the power grid according to the future state network model and the sensitivity matrix;
t4: when the direct current power flow data exceeds the preset power flow margin range, adjusting the output of each unit in the power grid according to the sensitivity matrix, updating a future state network model and the power grid operation boundary conditions according to the output of each unit, returning to T2, and updating the current output result; otherwise, outputting a clear result.
8. A multi-modal compartmentalized day-ahead planning and market clearing system, comprising:
the first acquisition module is used for acquiring operation data of a power grid, power grid operation boundary conditions and declaration information;
the second acquisition module is used for acquiring the current operation state of each device in the power grid;
the state determining module is used for determining the operating state of each device in the next day according to the operating data and the current operating state of each device;
the verification module is used for determining the maximum declared power generation capacity of the power grid according to the operating state of each device in the next day and verifying the declared information according to the maximum declared power generation capacity; and
and the clearing result generating module is used for carrying out the market clearing before the current electric power goods day by taking the minimization of the power generation cost as an optimization target according to the operation data of the power grid, the operation state of each device in the next day, the operation boundary condition of the power grid and the declaration information passing the verification to obtain a clearing result.
9. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, the processor when executing the computer program implementing the steps of the method for day-ahead planning and market-clearing of polymorphic partitions according to any of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, performs the steps of the method for day-ahead planning and market clearing of a polymorphic partition of any of claims 1 to 7.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103633649A (en) * | 2013-12-19 | 2014-03-12 | 国家电网公司 | Generation method for future-state alternating-current flow of power grid |
| CN105447775A (en) * | 2016-01-11 | 2016-03-30 | 广东电网有限责任公司 | Electric power day-ahead market match trade method with power grid safety constraint embedded therein |
| CN108711890A (en) * | 2018-06-27 | 2018-10-26 | 广东电网有限责任公司 | Ahead market goes out clearing method, system, device and computer readable storage medium |
| CN108736465A (en) * | 2017-04-24 | 2018-11-02 | 中国电力科学研究院 | A kind of future-state electric network model construction method and device |
| CN109493184A (en) * | 2018-11-19 | 2019-03-19 | 南方电网能源发展研究院有限责任公司 | Electric power based on green card transaction goes out clearing method, device, equipment and storage medium |
| CN109948209A (en) * | 2019-03-07 | 2019-06-28 | 广东电力交易中心有限责任公司 | Operation simulation method, device and equipment suitable for power spot market |
| CN110224398A (en) * | 2019-06-12 | 2019-09-10 | 广东电网有限责任公司 | Power spot market goes out clearing method, device, system and storage medium to one kind a few days ago |
| CN110490363A (en) * | 2019-07-10 | 2019-11-22 | 中国电力科学研究院有限公司 | More days Unit Combination optimization methods of one kind and system |
| CN110633889A (en) * | 2019-07-31 | 2019-12-31 | 中国电力科学研究院有限公司 | Regional spot market technical support system |
| CN111222673A (en) * | 2018-11-27 | 2020-06-02 | 国家电网有限公司 | Section out-of-limit positioning method and system in electric quantity transaction plan |
-
2020
- 2020-08-21 CN CN202010851282.1A patent/CN112001540B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103633649A (en) * | 2013-12-19 | 2014-03-12 | 国家电网公司 | Generation method for future-state alternating-current flow of power grid |
| CN105447775A (en) * | 2016-01-11 | 2016-03-30 | 广东电网有限责任公司 | Electric power day-ahead market match trade method with power grid safety constraint embedded therein |
| CN108736465A (en) * | 2017-04-24 | 2018-11-02 | 中国电力科学研究院 | A kind of future-state electric network model construction method and device |
| CN108711890A (en) * | 2018-06-27 | 2018-10-26 | 广东电网有限责任公司 | Ahead market goes out clearing method, system, device and computer readable storage medium |
| CN109493184A (en) * | 2018-11-19 | 2019-03-19 | 南方电网能源发展研究院有限责任公司 | Electric power based on green card transaction goes out clearing method, device, equipment and storage medium |
| CN111222673A (en) * | 2018-11-27 | 2020-06-02 | 国家电网有限公司 | Section out-of-limit positioning method and system in electric quantity transaction plan |
| CN109948209A (en) * | 2019-03-07 | 2019-06-28 | 广东电力交易中心有限责任公司 | Operation simulation method, device and equipment suitable for power spot market |
| CN110224398A (en) * | 2019-06-12 | 2019-09-10 | 广东电网有限责任公司 | Power spot market goes out clearing method, device, system and storage medium to one kind a few days ago |
| CN110490363A (en) * | 2019-07-10 | 2019-11-22 | 中国电力科学研究院有限公司 | More days Unit Combination optimization methods of one kind and system |
| CN110633889A (en) * | 2019-07-31 | 2019-12-31 | 中国电力科学研究院有限公司 | Regional spot market technical support system |
Non-Patent Citations (2)
| Title |
|---|
| 文玲锋;朱泽磊;闫翠会;卜亚杰;许鸿飞;: "电力市场环境下短期发电计划模型研究", 华北电力技术, no. 09 * |
| 陈之栩;李丹;梁吉;刘军;张涛;杨争林;: "华北电网日内发电计划及实时调度系统", 电力系统自动化, no. 19 * |
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