CN111861098A - Method, system, device and medium for clearing electric power spot market - Google Patents
Method, system, device and medium for clearing electric power spot market Download PDFInfo
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Abstract
The invention discloses a clearing method, a clearing system, a clearing device and a clearing medium for an electric power spot market. The method comprises the steps of obtaining basic data of an electric power system and quotation information submitted by a unit; establishing a first safety constraint unit combination model and a second safety constraint unit combination model based on basic data; clearing the electric power spot market through a first safety constraint unit combined model according to the first quotation information to obtain a relaxation solution of the integer variable; then constructing a penalty factor of the integer variable; clearing the electric power spot market through the second safety constraint unit combined model according to the first quotation information and the penalty factors to obtain a clearing result; the embodiment of the application can improve the clearing efficiency and is beneficial to improving the reliability of the operation of the power system. The invention can be widely applied to the technical field of electric power.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a clearing method, a clearing system, a clearing device and a clearing medium for an electric power spot market.
Background
Along with the rapid development of the socioeconomic power consumption of China, the development of the spot market of the electric power of China is gradually matured. At present, a clearing mechanism of an electric power spot market adopts Safety Constraint Unit Combination (SCUC) and Safety Constraint Economic Dispatch (SCED) programs to carry out optimization calculation based on declaration information of market members and operation boundary conditions of a power grid system and a unit, and clearing is carried out to obtain a market trading result. In short, on the premise of ensuring the safety of the power grid, the unit with the cheapest price report in the system is called preferentially until the load requirement is met.
However, in the actual implementation stage, the following problems are often encountered: when the constraint conditions of a Safety Constraint Unit Combination (SCUC) model are established and the clearing is performed with the aim of minimizing the cost, some variables in the model can only be integer variables, and unit overhaul variables are taken as examples: generally, a variable of 0 to 1 is used, taking 0 indicates that the unit is not overhauled, taking 1 indicates that the unit is in an overhauled state, but the final model may obtain a possible relaxation solution (i.e., a value between 0 and 1). In the existing clearing mode, the integer condition of an integer variable is used as a limit to directly solve, so that the complexity of a model is increased, and the clearing efficiency is influenced. At present, the practical mode is to consider the integer constraints firstly, take the integer variables as continuous variables to solve, and finally branch according to the solved relaxation solution to find the optimal integer solution. The implementation mode cannot well utilize relaxation solution, the clearing efficiency is still low, the real-time stage of the spot market is possibly not favorable for the unit to timely acquire a power generation task, and the running risk of the system is high. In summary, the existing electric power spot market is slow in clearing speed and low in efficiency, and needs to be improved urgently.
The noun explains:
electric power spot market: the general term of electric power trading activities before the next day, the day and the real-time scheduling is intensively developed by a trading mechanism in the day and in a shorter time;
market day ahead: the electric energy trading market is used for determining the combination state of the unit and the power generation plan on the operation day in advance by one day;
real-time marketing: the decision made on the operating day is finally used for scheduling the resource allocation state and the planned electric energy trading market 5-15 minutes in the future of the operating day.
Disclosure of Invention
The present invention aims to solve at least to some extent one of the technical problems existing in the prior art.
Therefore, an object of the embodiments of the present application is to provide a method for clearing an electric power spot market, which can improve clearing efficiency and is beneficial to improving reliability of operation of an electric power system.
It is another object of embodiments of the present application to provide a closeout system for an electric power spot market.
In order to achieve the technical purpose, the technical scheme adopted by the embodiment of the application comprises the following steps:
in a first aspect, an embodiment of the present application provides a method for clearing a power spot market, including the following steps:
acquiring basic data of an electric power system and quotation information submitted by a unit; the base data includes integer variables representing power system states; the quotation information comprises first quotation information corresponding to the integer variable;
Establishing a first safety constraint unit combination model and a second safety constraint unit combination model of the power system based on the basic data; the second safety constraint unit combination model comprises integer constraints of the integer variables;
according to the first quotation information, the electricity generation cost is minimized to be a target function, and the electricity spot market is cleared through the first safety constraint unit combination model to obtain a relaxation solution of the integer variable;
constructing a penalty factor of the integer variable according to the relaxation solution;
and clearing the electric power spot market through the second safety constraint unit combination model according to the first quotation information and the penalty factors by taking the minimization of the power generation cost as a target function to obtain a clearing result.
In addition, the method for clearing the electric power spot market according to the above embodiment of the present invention may further have the following additional technical features:
further, in one embodiment of the invention, the base data includes system data, crew data, tie line plan data, load data, and sensitivity data of the power system.
Further, in an embodiment of the present invention, the power system state includes a start-stop state of the unit, and the integer variable includes a variable from 0 to 1.
Further, in an embodiment of the present invention, the basic data further includes a continuous variable, and the offer information further includes second offer information corresponding to the continuous variable; the second quote information is used to determine the electricity generation cost.
Further, in an embodiment of the present invention, the step of constructing a penalty factor for the integer variable according to the relaxation solution specifically includes:
according to the formula σ (I)s)＝β(-Is+1) determining the penalty factor;
wherein, σ (I)s) Denotes a penalty factor, beta is a predetermined proportionality coefficient, IsRepresents the relaxation solution of integer variables.
Further, in an embodiment of the present invention, the step of constructing a penalty factor for the integer variable according to the relaxation solution specifically includes:
according to the formula σ (I)s)＝-ln(Is) Determining the penalty factor;
wherein, σ (I)s) Denotes a penalty factor, IsRepresents the relaxation solution of integer variables.
In a second aspect, an embodiment of the present application provides a clearing system for an electric power spot market, including:
the acquisition module is used for acquiring basic data of the power system and quotation information submitted by the unit; the base data includes integer variables representing power system states; the quotation information comprises first quotation information corresponding to the integer variable;
The first processing module is used for establishing a first safety constraint unit combination model and a second safety constraint unit combination model of the power system based on the basic data; the second safety constraint unit combination model comprises integer constraints of the integer variables;
the first clearing module is used for clearing the electric power spot market through the first safety constraint unit combination model by taking the minimization of the power generation cost as a target function according to the first quotation information to obtain a relaxation solution of the integer variable;
the second processing module is used for constructing a penalty factor of the integer variable according to the relaxation solution;
and the second clearing module is used for clearing the electric power spot market through the second safety constraint unit combined model by using the minimization of the power generation cost as a target function according to the first quotation information and the penalty factors to obtain a clearing result.
In a third aspect, an embodiment of the present application provides a clearing device for a power spot market, including:
at least one processor;
at least one memory for storing at least one program;
the at least one program, when executed by the at least one processor, causes the at least one processor to implement the power spot market closeout method.
In a fourth aspect, the present application further provides a medium, in which processor-executable instructions are stored, and when executed by a processor, the processor-executable instructions are used to implement the power spot market clearing method.
Advantages and benefits of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention:
according to the method in the embodiment of the application, a relaxation solution of a system integer variable is obtained by performing clearing without integer constraint on the electric power spot market once, then a penalty factor of the integer variable is determined according to the relaxation solution, secondary clearing is performed on the electric power spot market based on the penalty factor, and finally a clearing result is obtained; the embodiment of the application constructs the penalty factor of the integer variable through the physical meaning implied by the relaxation solution, can obtain the clearing result more quickly, effectively improves the clearing efficiency, and improves the stability and the reliability of the operation of the unit and the system.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings of the embodiments of the present application or the related technical solutions in the prior art are described below, it should be understood that the drawings in the following description are only for convenience and clarity of describing some embodiments of the technical solutions of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic flow chart illustrating an embodiment of a power spot market clearing method according to the present invention;
FIG. 2 is a schematic diagram of a clearing system for the electric power spot market according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a clearing device in the electric power spot market according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention. The step numbers in the following embodiments are provided only for convenience of illustration, the order between the steps is not limited at all, and the execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art.
The method and system for clearing the power spot market proposed according to the embodiments of the present application will be described in detail below with reference to the accompanying drawings, and first, the method for clearing the power spot market proposed according to the embodiments of the present application will be described with reference to the accompanying drawings. The clearing method in the embodiment of the application can be implemented in the day-ahead stage of the spot market and also can be implemented in the real-time stage of the spot market. The method of refreshing provided by the embodiments of the present application is described below.
Referring to fig. 1, the clearing method for the electric power spot market in the embodiment of the present application mainly includes the following steps:
s1, acquiring basic data of the power system and quotation information submitted by the unit; the base data includes integer variables representing the state of the power system; the quotation information comprises first quotation information corresponding to the integer variable;
s2, establishing a first safety constraint unit combination model and a second safety constraint unit combination model of the power system based on the basic data; the second safety constraint unit combination model comprises integer constraints of integer variables;
s3, clearing the electric power spot market through the first safety constraint unit combination model by taking the minimization of the power generation cost as a target function according to the first quotation information to obtain a relaxation solution of an integer variable;
s4, constructing a penalty factor of the integer variable according to the relaxation solution;
and S5, clearing the electric power spot market through the second safety constraint unit combined model by using the power generation cost minimization as a target function according to the first quotation information and the penalty factors to obtain a clearing result.
In step S1 of the embodiment of the present application, basic data of the power system is first obtained, and specifically, the basic data includes, but is not limited to, the following: the system data mainly comprises time interval information, system loads and system standby requirements; the unit data mainly comprises unit basic information, unit calculation parameters, unit starting quotations, unit energy quotations, unit initial states, unit electric power constraints and unit climbing rates; the tie line plan data mainly comprises tie line basic information and tie line plan power; the load data mainly comprises bus load prediction; the sensitivity data mainly comprises generating transfer distribution factors of the unit and the load injection power to the line and section tidal current.
And then acquiring the quotation information of each unit from the electric power trading mechanism or the electric power market, wherein the quotation information can be divided into first quotation information corresponding to integer variables and second quotation information corresponding to continuous variables according to corresponding physical quantities. The integer variable corresponds to a state of the system, and is generally represented by a 0-1 variable, for example, a start-stop state, a line maintenance state and the like of a unit, 0 represents shutdown or not in the state, and 1 represents startup or in the state. In the corresponding first quotation information, such as the power generation cost, the start-stop cost of the unit is determined according to the start-stop state of the unit, the start-stop cost is calculated once at start-stop, and the quotation information corresponding to the discrete state variable is classified into the first quotation information. The second quoted price information corresponds to a continuous variable, the continuous variable refers to a numerical variable, such as output data of the unit, line tide data and the like, and the second quoted price information is quoted price aiming at the numerical data, such as power generation cost equivalent data of the unit. It can be understood that, after the safety constraint unit combination model (SCUC) of the power system is established, in the process of clearing the solution, the final result should be an integer value, for example, it must be 0 or 1, and for the start-stop state of the unit, only the value of the integer has practical operation significance. If this integer constraint is omitted from the model supernatant, the resulting relaxation solution (i.e., a number between 0 and 1) may be a decimal number, which reflects a trend toward cost minimization, for example, taking a unit overhaul state as an example, taking 0 indicates that the unit is not overhauled, and taking 1 indicates that the unit is in overhaul. If the relaxation solution is close to 0, the unit is prone to not be overhauled in the period, or the unit is overhauled in the period, compared with the unit overhauled in other periods, the operation cost of the system is increased or the operation safety and reliability of the system are reduced; when the relaxation solution is close to 1, the unit is prone to overhaul in the period, or the overhaul of the unit in the period has a tendency of reducing the operation cost of the system or improving the operation safety and reliability of the system compared with the overhaul in other periods. Therefore, although the overhaul state of a certain unit in a certain time period cannot be accurately judged directly through the relaxation solution, the overhaul tendency of the unit is covered behind the relaxation solution, and the optimization of a safety constraint unit combination model (SCUC) solver is guided through the relaxation solution, so that the clearing efficiency can be remarkably improved.
Based on the basic data of the power system, a safety constraint unit combination model of the power system can be established. Specifically, two safety constraint unit combination models are established, where the first safety constraint unit combination model and the second safety constraint unit combination model may include the following constraint conditions:
alternatively, the constraints may include primarily systematic constraints associated with the crew, individual crew constraints, network security constraints, and other constraints. Wherein the systematic constraints include: a system load balancing constraint for ensuring power balance of the system; the system comprises a positive spare capacity constraint and a negative spare capacity constraint and a rotary spare constraint, wherein the spare capacity is used for preventing unbalanced fluctuation of system supply and demand caused by system load prediction deviation and various actual operation accidents, and a certain capacity of a whole system is required to be reserved, namely the total starting capacity of each day is required to meet the minimum spare capacity of the system. The individual unit constraints include: the upper and lower limits of the output force of the unit are restricted, which indicates that the output force of the unit is in the maximum/minimum technical output range; the unit climbing restriction means that the unit climbing speed requirement is met when climbing up or down; the minimum continuous start-stop time constraint and the maximum start-stop times constraint of the unit require the minimum continuous start-stop time and the maximum start-stop times of the unit to be met due to the physical properties and the actual operation requirements of the unit. Network security constraints include line flow constraints and profile flow constraints. The above equations and calculations relating to the constraints can be performed according to current standards. In addition, it should be understood that each constraint condition in the embodiments of the present application is only an optional implementation, and besides the constraint conditions described above, conditions such as energy constraint and emission constraint may be considered according to actual situations; in addition, each constraint condition can be deleted according to the actual situation so as to adapt to different actual requirements.
And the second safety constraint unit combination model additionally comprises integer constraints of integer variables relative to the first safety constraint unit combination model. Specifically, the first safety constraint unit combination model can be G (I)APA) ≧ 0, where IADenotes an integer variable from 0 to 1, PADenotes a continuous variable, G (I)A,PA) And more than or equal to 0 represents the constraint condition in the first safety constraint unit combination model.
Based on the SCUC constraint condition set, the constraint objective function is added to perform clearing solution on the safety constraint unit combination model, so as to obtain a clearing result, wherein the clearing result specifically comprises a starting state of the unit and an output result of the unit, and for the starting state of the unit, the starting state is an integer variable, and if the integral constraint is not applied, a relaxation solution is likely to occur. In the embodiment of the application, the objective function of the first safety constraint unit combination model during clearing is min { c }IIS+cPPAIn which C isIQuoted price data expressed as an integer variable of 0-1, which may be, for example, the cost of maintenance will, the cost of start-stop of the unit, etc., ISExpressed as a variable of an integer from 0 to 1, CPQuoted data expressed as continuous variables, such as the cost of electricity generated by the unit, P ARepresenting a continuous variable. The objective function is used for clearing the first safety constraint unit combination model, and a relaxation solution I of 0-1 integer variable of the system can be obtainedSAlthough the specific state corresponding to the integer variable of a unit cannot be accurately judged through the relaxation solution, for example, in which time interval the unit is overhauled and which time interval is not overhauled, the relaxation of the unit combination model is restricted according to the first safetyThe physical information contained in the solution reasonably improves the coefficients corresponding to integer variables in the objective function, namely a penalty factor is added, so that the variables with the trend of 0 correspond to larger penalty factors, and the variables with the trend of 1 correspond to smaller penalty factors, and the clearing of the unit can be accelerated to a certain extent.
Therefore, the embodiment of the application further includes a second clearing, and the purpose at this time is to obtain an optimal integer variable value, so that an integer constraint should be added to the clearing model, and a second safety constraint unit combination model is obtained. And a penalty factor is constructed according to the relaxation solution, a cost item which considers the physical meaning implied by the relaxation solution is added on the original objective function to obtain min { C IIA+CPPA+σ(IS)IAAs an objective function of the second ejection, where IAInteger solutions (i.e. optimal solutions) representing integer variables, IsDenotes the relaxation solution, σ (I), of integer variabless) And (4) representing a penalty factor, having other physical meanings the same as the objective function of the first clearing, and carrying out the second clearing to obtain the final clearing result of the system.
Specifically, in the embodiment of the present application, the step of constructing a penalty factor of an integer variable according to a relaxation solution specifically includes:
according to the formula σ (I)s)＝β(-Is+1) determining a penalty factor;
wherein, σ (I)s) Denotes a penalty factor, beta is a predetermined proportionality coefficient, IsRepresents the relaxation solution of integer variables.
In the embodiment of the present application, the preset scaling factor may be 1, and at this time, the penalty factor is equal to the value of the negative relaxation solution plus 1. The penalty tends to be 0 when the relaxation solution tends to 1, and tends to be 1 when the relaxation solution tends to 0. The reaction on the objective function is that when the relaxation solution tends to 1, the state variable of the unit tends to 1, for example, the unit tends to start up, the overall running cost is lower, so that for the unit, the penalty factor is small and tends to 0; conversely, when the relaxation solution goes to 0It is stated that the unit tends to be shut down so that the overall operating cost is lower, so that the penalty for this unit is now large. Then in the final objective function, the larger the penalty factor is to minimize the final total cost, the more likely the integer solution is to be 0, which exactly corresponds to the aforementioned unit slack solution approaching 0. Of course, in the embodiment of the present application, the penalty factor may be calculated in many ways, for example, the preset proportionality coefficient may be any positive value, and optionally, the formula σ (I) may also be used s)＝-ln(Is) The penalty factor is determined.
The method provided by the embodiment of the application can be implemented in the day-ahead market of the electric power spot market, and can be executed in the real-time phase of day operation, the specific flow steps are the same as those of the process, the requirement on clearing efficiency of the system is high in the real-time phase, the penalty factor of an integer variable is constructed through the physical meaning implied by relaxation solution, clearing results can be obtained more quickly, and clearing efficiency is effectively improved.
Next, a power spot market discharge system proposed according to an embodiment of the present application is described with reference to the drawings.
Fig. 2 is a schematic structural diagram of a power spot market clearing system according to an embodiment of the present invention.
The system specifically comprises:
the acquiring module 101 is used for acquiring basic data of the power system and quotation information submitted by a unit; the base data includes integer variables representing the state of the power system; the quotation information comprises first quotation information corresponding to the integer variable;
the first processing module 102 is configured to establish a first safety constraint unit combination model and a second safety constraint unit combination model of the power system based on the basic data; the second safety constraint unit combination model comprises integer constraints of integer variables;
The first clearing module 103 is used for clearing the electric power spot market through a first safety constraint unit combination model by using the minimization of the power generation cost as a target function according to the first quotation information to obtain a relaxation solution of the integer variable;
a second processing module 104, configured to construct a penalty factor for the integer variable according to the relaxation solution;
and the second clearing module 105 is configured to clear the electric power spot market through the second safety constraint unit combination model according to the first offer information and the penalty factor by using the minimization of the power generation cost as a target function, so as to obtain a clearing result.
It can be seen that the contents in the foregoing method embodiments are all applicable to this system embodiment, the functions specifically implemented by this system embodiment are the same as those in the foregoing method embodiment, and the advantageous effects achieved by this system embodiment are also the same as those achieved by the foregoing method embodiment.
Referring to fig. 3, an embodiment of the present application provides a clearing device for an electric power spot market, including:
at least one processor 201;
at least one memory 202 for storing at least one program;
the at least one program, when executed by the at least one processor 201, causes the at least one processor 201 to implement a power spot market closeout method.
Similarly, the contents of the method embodiments are all applicable to the apparatus embodiments, the functions specifically implemented by the apparatus embodiments are the same as the method embodiments, and the beneficial effects achieved by the apparatus embodiments are also the same as the beneficial effects achieved by the method embodiments.
The embodiment of the present application further provides a storage medium, in which instructions executable by the processor 201 are stored, and the instructions executable by the processor 201 are used for executing the power spot market clearing method when executed by the processor 201.
Similarly, the contents in the foregoing method embodiments are all applicable to this storage medium embodiment, the functions specifically implemented by this storage medium embodiment are the same as those in the foregoing method embodiments, and the advantageous effects achieved by this storage medium embodiment are also the same as those achieved by the foregoing method embodiments.
In alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flow charts of the present invention are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and in which sub-operations described as part of larger operations are performed independently.
Furthermore, although the present invention is described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the functions and/or features may be integrated in a single physical device and/or software module, or one or more functions and/or features may be implemented in separate physical devices or software modules. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary for an understanding of the present invention. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be understood within the ordinary skill of an engineer, given the nature, function, and internal relationship of the modules. Accordingly, those skilled in the art can, using ordinary skill, practice the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative of and not intended to limit the scope of the invention, which is defined by the appended claims and their full scope of equivalents.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the foregoing description of the specification, reference to the description of "one embodiment/example," "another embodiment/example," or "certain embodiments/examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. A clearing method of an electric power spot market is characterized by comprising the following steps:
acquiring basic data of an electric power system and quotation information submitted by a unit; the base data includes integer variables representing power system states; the quotation information comprises first quotation information corresponding to the integer variable;
establishing a first safety constraint unit combination model and a second safety constraint unit combination model of the power system based on the basic data; the second safety constraint unit combination model comprises integer constraints of the integer variables;
According to the first quotation information, the electricity generation cost is minimized to be a target function, and the electricity spot market is cleared through the first safety constraint unit combination model to obtain a relaxation solution of the integer variable;
constructing a penalty factor of the integer variable according to the relaxation solution;
and clearing the electric power spot market through the second safety constraint unit combination model according to the first quotation information and the penalty factors by taking the minimization of the power generation cost as a target function to obtain a clearing result.
2. The power spot market method of claim 1, wherein the base data comprises system data, crew data, tie-line plan data, load data, and sensitivity data of the power system.
3. The power spot market method of claim 1, wherein: the power system state comprises a starting and stopping state of the unit, and the integer variable comprises a 0-1 variable.
4. The power spot market method of claim 1, wherein: the basic data further comprises continuous variables, and the quotation information further comprises second quotation information corresponding to the continuous variables; the second quote information is used to determine the electricity generation cost.
5. The power spot market method according to claim 3, wherein the step of constructing the penalty factor for the integer variable based on the relaxation solution comprises:
according to the formula σ (I)s)＝β(-Is+1) determining the penalty factor;
wherein, σ (I)s) Denotes a penalty factor, beta is a predetermined proportionality coefficient, IsRepresents the relaxation solution of integer variables.
6. The power spot market method according to claim 3, wherein the step of constructing the penalty factor for the integer variable based on the relaxation solution comprises:
according to the formula σ (I)s)＝-ln(Is) Determining the penalty factor;
wherein, σ (I)s) Denotes a penalty factor, IsRepresents the relaxation solution of integer variables.
7. A power spot market purge system, comprising:
the acquisition module is used for acquiring basic data of the power system and quotation information submitted by the unit; the base data includes integer variables representing power system states; the quotation information comprises first quotation information corresponding to the integer variable;
the first processing module is used for establishing a first safety constraint unit combination model and a second safety constraint unit combination model of the power system based on the basic data; the second safety constraint unit combination model comprises integer constraints of the integer variables;
The first clearing module is used for clearing the electric power spot market through the first safety constraint unit combination model by taking the minimization of the power generation cost as a target function according to the first quotation information to obtain a relaxation solution of the integer variable;
the second processing module is used for constructing a penalty factor of the integer variable according to the relaxation solution;
and the second clearing module is used for clearing the electric power spot market through the second safety constraint unit combined model by using the minimization of the power generation cost as a target function according to the first quotation information and the penalty factors to obtain a clearing result.
8. A closeout device for an electric power spot market, comprising:
at least one processor;
at least one memory for storing at least one program;
when executed by the at least one processor, cause the at least one processor to implement the power spot market closeout method of any one of claims 1-6.
9. A computer-readable storage medium having stored therein instructions executable by a processor, the computer-readable storage medium comprising: the processor-executable instructions, when executed by a processor, are for implementing a power spot market closeout method as claimed in any one of claims 1-6.
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