CN111311433A - Method, device and equipment for standby discharge in day-ahead electric power spot market operation - Google Patents

Method, device and equipment for standby discharge in day-ahead electric power spot market operation Download PDF

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CN111311433A
CN111311433A CN202010076901.4A CN202010076901A CN111311433A CN 111311433 A CN111311433 A CN 111311433A CN 202010076901 A CN202010076901 A CN 202010076901A CN 111311433 A CN111311433 A CN 111311433A
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power
standby
capacity
generator set
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黄康乾
周睿
黄靖茵
胡鑫
向德军
陈非
张云勇
蔡嘉荣
占力超
郑杰生
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Guangdong Electric Power Transaction Center Co ltd
Guangdong Electric Power Information Technology Co Ltd
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Abstract

The application discloses a method, a device and equipment for running standby clearing in the day-ahead electric power spot market, after acquiring power grid running basic data, reporting data and winning power of each generator set, checking the running standby reporting capacity through the installed capacity and winning power of the generator sets to obtain effective running standby reporting capacity; constructing a running standby decision-making clear objective function and decision-making constraint conditions based on the obtained data, wherein the decision-making constraint conditions comprise network transmission capacity constraint; based on decision constraint conditions, the operational standby decision clearing objective function is optimized through an optimization algorithm to obtain a clearing result, and the technical problem that potential electric energy or operational equipment clearing results in the prior art that the potential electric energy or the operational equipment clearing results cannot meet actual operation requirements and affect safe power supply when a non-combined clearing mode is adopted for performing the operational standby clearing in the electric power spot market is solved.

Description

Method, device and equipment for standby discharge in day-ahead electric power spot market operation
Technical Field
The application relates to the technical field of power dispatching, in particular to a method, a device and equipment for standby discharge in the day-ahead power spot market operation.
Background
The electric power spot market is the key point of the electric power market innovation, and the marketized transaction of running the standby auxiliary service becomes an important component in the electric power spot market. The existing running standby is mainly cleared in the electric power spot market by adopting a non-joint clearing mode, wherein the non-joint clearing mode is that the running standby and the electric energy are decided and cleared in different decision model tables, and the coupling relation between the running standby and the electric energy of the generator set is not needed or not completely considered in the decision process. Because the coupling relation between the electric energy and the operation standby exists objectively, and the coupling relation is not considered in the decision clearing process, the potential electric energy or the clearing result of the operation equipment can not meet the actual operation requirement, and the problem of influencing safe power supply is solved.
Disclosure of Invention
The application provides a standby export method, a standby export device and a standby export device for the operation of the power spot market in the day ahead, which are used for solving the technical problem that potential electric energy or the export result of the operation device cannot meet the actual operation requirement and affect safe power supply in the prior art by adopting a non-combined export mode to carry out the standby export of the operation of the power spot market.
In view of the above, a first aspect of the present application provides a method for standby clearing of an electric power spot market operation in the day ahead, including:
acquiring power grid operation basic data, declaration data and winning power of each generator set, wherein the declaration data comprises operation standby declaration capacity and declaration price of the generator sets, and the power grid operation basic data comprises installed capacity of the generator sets, power grid sections, section control limit values and tidal current power transfer distribution factors between the generator sets and the sections;
verifying the operation standby declaration capacity according to the installed capacity of the generator set and the winning power to obtain effective operation standby declaration capacity;
constructing an operation standby decision clearing objective function and decision constraint conditions based on the effective operation standby declaration capacity, the operation standby declaration price of the generator set, the power grid operation basic data and the power flow power of the section of the ground state power flow, wherein the ground state power flow is obtained by calculation based on the winning bid power of each generator set, and the decision constraint conditions comprise network transmission capacity constraints;
and optimizing the running standby decision clearing objective function through an optimization algorithm based on the decision constraint condition to obtain a clearing result.
Preferably, the constructing an operation standby decision clearing objective function and a decision constraint condition based on the effective operation standby declaration capacity, the power grid operation basic data and the power flow power of the section of the ground state power flow further includes:
and calculating the tide current distribution based on the winning power of each generator set to obtain the ground state tide.
Preferably, the verifying the operating standby declared capacity according to the installed capacity of the generator set and the winning power to obtain the effective operating standby declared capacity includes:
and verifying the operation standby declaration capacity according to the installed capacity of the generator set and the winning power, wherein a verification formula is as follows:
Figure BDA0002378706680000021
wherein the content of the first and second substances,
Figure BDA0002378706680000022
is the installed capacity of the generator set g,
Figure BDA0002378706680000023
is the winning power of the generator set g,
Figure BDA0002378706680000024
reporting the capacity for the running standby of the generator set g;
and taking the running standby declared capacity passing the verification as the effective running standby declared capacity.
Preferably, the operational standby decision clearing objective function is:
Figure BDA0002378706680000025
wherein NG is the number of the wind turbines,
Figure BDA0002378706680000026
the bid winning capacity is reserved for the operation of the generator set g,
Figure BDA0002378706680000027
and reporting the price for the running standby of the generator set g.
Preferably, the network transmission capability is constrained to
Figure BDA0002378706680000028
Wherein the content of the first and second substances,
Figure BDA0002378706680000029
g and g of generator setThe power transfer distribution factor of the power flow between the surfaces s,
Figure BDA00023787066800000210
is the limit value of the tidal current power of the section s,
Figure BDA00023787066800000211
the bid winning capacity is reserved for the operation of the generator set g,
Figure BDA00023787066800000212
the power is the tidal current power of a section s in the ground state tidal current, and NG is the number of the wind turbine generators.
Preferably, the decision constraint further comprises:
and (3) system operation standby margin constraint:
Figure BDA0002378706680000031
wherein the content of the first and second substances,
Figure BDA0002378706680000032
reserve bid amount for generator set g operation, RS,minA limit for a reserve capacity requirement for system operation;
and (3) partition operation standby margin constraint:
Figure BDA0002378706680000033
wherein g is NiFor all the generator sets located in zone i,
Figure BDA0002378706680000034
a limit value for the operating reserve capacity requirement for partition i;
and (3) clear rationality constraint:
Figure BDA0002378706680000035
wherein the content of the first and second substances,
Figure BDA0002378706680000036
and reporting the capacity for the running standby of the generator set g.
The second aspect of the present application provides a spare play clear device of electric power spot market operation day ahead, includes:
the system comprises an acquisition module, a power grid operation module and a power generation module, wherein the acquisition module is used for acquiring power grid operation basic data, declaration data and winning power of each power generation unit, the declaration data comprises operation standby declaration capacity and declaration price of the power generation units, and the power grid operation basic data comprises installed capacity of the power generation units, power grid sections, section control limit values and tidal current power transfer distribution factors between the power generation units and the sections;
the checking module is used for checking the operation standby declaration capacity according to the installed capacity of the generator set and the winning power to obtain effective operation standby declaration capacity;
the construction module is used for constructing an operation standby decision-making clearing objective function and decision-making constraint conditions based on the effective operation standby declaration capacity, the operation standby declaration price of the generator sets, the power grid operation basic data and the tidal current power of the sections of the ground state tidal current, the ground state tidal current is obtained by calculation based on the winning bid power of each generator set, and the decision-making constraint conditions comprise network transmission capacity constraints;
and the optimization module is used for optimizing the running standby decision clearing objective function through an optimization algorithm based on the decision constraint condition to obtain a clearing result.
Preferably, the method further comprises the following steps:
and the calculation module is used for calculating the tide current distribution based on the winning power of each generator set to obtain the ground state tide.
Preferably, the verification module is specifically configured to:
and verifying the operation standby declaration capacity according to the installed capacity of the generator set and the winning power, wherein a verification formula is as follows:
Figure BDA0002378706680000041
wherein the content of the first and second substances,
Figure BDA0002378706680000042
is the installed capacity of the generator set g,
Figure BDA0002378706680000043
is the winning power of the generator set g,
Figure BDA0002378706680000044
reporting the capacity for the running standby of the generator set g;
and taking the running standby declared capacity passing the verification as the effective running standby declared capacity.
A third aspect of the present application provides a day-ahead power spot market operations standby closeout apparatus, the apparatus comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute any of the day-ahead power spot market operational standby closeout methods of the first aspect according to instructions in the program code.
According to the technical scheme, the method has the following advantages:
the application provides a standby export method for the operation of the electric power spot market in the day ahead, which comprises the following steps: acquiring power grid operation basic data, declaration data and winning power of each generator set, wherein the declaration data comprises operation standby declaration capacity and declaration price of the generator sets, and the power grid operation basic data comprises installed capacity of the generator sets, power grid sections, section control limit values and tidal current power transfer distribution factors between the generator sets and the sections; checking the operating standby declared capacity according to the installed capacity and the winning power of the generator set to obtain the effective operating standby declared capacity; constructing an operation standby decision clearing objective function and a decision constraint condition based on the effective operation standby declaration capacity, the operation standby declaration price of the generator set, the operation basic data of the power grid and the tidal current power of the section of the basic state tidal current, wherein the basic state tidal current is obtained by calculation based on the winning power of each generator set, and the decision constraint condition comprises network transmission capacity constraint; and optimizing the running standby decision clearing objective function through an optimization algorithm based on the decision constraint condition to obtain a clearing result.
According to the day-ahead electric power spot market operation standby clearing method, after the data of power grid operation basic data, declaration data and winning power of each generator set are obtained, the operation standby declaration capacity is verified according to the installed capacity and winning power of the generator sets, data rationality verification is conducted on the operation standby declaration capacity, and a follow-up clearing result is closer to actual operation requirements; the method comprises the steps of constructing an operation standby decision clearing objective function and a decision constraint condition according to acquired data, considering network transmission capacity in the decision constraint condition, namely considering the coupling relation between the operation standby of a generator set and electric energy, and enabling a clearing result to be closer to an actual operation requirement, so that the power supply safety of a power grid is improved, and the technical problem that potential electric energy or operation equipment clearing result cannot meet the actual operation requirement and affect safe power supply in the prior art when a non-joint clearing mode is adopted for carrying out operation standby clearing in the power spot market is solved.
Drawings
FIG. 1 is a schematic flow chart diagram illustrating one embodiment of a method for operating a standby shipment on a day-ahead power spot market provided herein;
FIG. 2 is a schematic flow chart diagram illustrating another embodiment of a method for operating a standby closeout in a power spot market provided by the present application;
fig. 3 is a schematic structural diagram of an embodiment of a standby emptying device operated in a power spot market in the future.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
For easy understanding, referring to fig. 1, an embodiment of a method for operating standby closeout in a power spot market in the day ahead includes:
step 101, acquiring power grid operation basic data, declaration data and winning power of each generator set.
It should be noted that the required power grid operation basic data can be obtained from the energy management system, and the power grid operation basic data comprises the installed capacity of the generator set, the power grid section, the section control limit value and the tidal current power transfer distribution factor between the generator set and the section; the electric energy clearing result in the electric power spot market, namely the winning bid power of each generator set, can be obtained from the electric power trading system; after the electric energy clearing result of each generator set is obtained, the operation standby declaration capacity and the declaration price of each generator set can be declared, and declaration data can be obtained by obtaining the operation standby declaration capacity and the declaration data of each generator set.
And 102, verifying the operating standby declared capacity according to the installed capacity and the winning power of the generator set to obtain the effective operating standby declared capacity.
Before the operation standby declaration capacity of the day-ahead power spot market is cleared, the operation standby declaration capacity can be verified according to the installed capacity and the winning power of each generator set, the operation standby declaration capacity passing the verification is the effective operation standby declaration capacity, and the effective operation standby declaration capacity can participate in clearing; and the operation standby declaration capacity which is not passed through is verified, and the operation standby declaration capacity is invalid and does not participate in clearing. According to the embodiment of the application, the data reasonability of the running standby declaration capacity is verified, so that the subsequent clearing result is closer to the actual running requirement.
103, constructing an operation standby decision clearing objective function and a decision constraint condition based on the effective operation standby declaration capacity, the operation standby declaration price of the generator set, the power grid operation basic data and the power flow power of the section of the ground state power flow.
It should be noted that the ground state power flow in the embodiment of the present application is calculated based on the bid winning power of each generator set, wherein the decision constraint condition includes network transmission capability constraint, and the embodiment of the present application considers that a coupling relation between the electric energy and the operational reserve exists objectively, and the coupling relation is not considered in the decision clearing process, so that the potential electric energy or the clear result of the operational equipment cannot meet the actual operational requirement, thereby affecting the problem of safe power supply, and the coupling relation between the operational reserve and the electric energy includes two aspects, the first aspect is a power generation capability coupling relation, when the same generator set provides the electric energy service and the operational reserve service, the same generator set is limited by the capacity of the gas turbine, and the electric energy and the operational reserve have a substitution effect, that is, the sum of the total bid amount of the electric energy and the operational reserve cannot exceed the; the second aspect is a network transmission capacity coupling relation, and once the operation standby is called, the transmission channel of the power grid network is occupied, so that the limitation requirement of the network transmission capacity needs to be considered clearly in the decision of the operation standby. In order to improve the safety of power supply of the power grid, the network transmission capability coupling relation is considered in the embodiment of the application, so that the network transmission capability constraint is considered in the decision constraint condition.
And step 104, optimizing the running standby decision clearing objective function through an optimization algorithm based on the decision constraint condition to obtain a clearing result.
It should be noted that the constructed operation standby decision-making clear objective function can be optimized through optimization algorithms such as an interior point method and a simplex method, and the optimal operation standby bid-winning capacity of each generator set is output.
According to the day-ahead electric power spot market operation standby clearing method provided by the embodiment of the application, after the data of power grid operation basic data, declaration data and winning power of each generator set are obtained, the operation standby declaration capacity is verified according to the installed capacity and winning power of the generator sets, and data rationality verification is carried out on the operation standby declaration capacity, so that a subsequent clearing result is closer to the actual operation requirement; the method comprises the steps of constructing an operation standby decision clearing objective function and a decision constraint condition according to acquired data, considering network transmission capacity in the decision constraint condition, namely considering the coupling relation between the operation standby of a generator set and electric energy, and enabling a clearing result to be closer to an actual operation requirement, so that the power supply safety of a power grid is improved, and the technical problem that potential electric energy or operation equipment clearing result cannot meet the actual operation requirement and affect safe power supply in the prior art when a non-joint clearing mode is adopted for carrying out operation standby clearing in the power spot market is solved.
For easy understanding, referring to fig. 2, another embodiment of a method for operating standby closeout in a power spot market in the future provided by the present application includes:
step 201, obtaining power grid operation basic data, declaration data and winning bid power of each generator set.
It should be noted that the required power grid operation basic data can be obtained from the energy management system, and the power grid operation basic data comprises the installed capacity of the generator set, the power grid section, the section control limit value and the tidal current power transfer distribution factor between the generator set and the section; the electric energy clearing result in the electric power spot market, namely the winning bid power of each generator set, can be obtained from the electric power trading system; after the electric energy clearing result of each generator set is obtained, the operation standby declaration capacity and the declaration price of each generator set can be declared, and declaration data can be obtained by obtaining the operation standby declaration capacity and the declaration data of each generator set.
Step 202, calculating the tide current distribution based on the bid winning power of each generator set to obtain the ground state tide current.
It should be noted that, the load flow distribution may be calculated by a load flow calculation tool, and as the load flow calculation belongs to the prior art, the detailed calculation process of the load flow distribution is not described herein again.
And 203, verifying the operating standby declared capacity according to the installed capacity and the winning power of the generator set to obtain the effective operating standby declared capacity.
Before the operation standby declaration capacity of the day-ahead power spot market is cleared, the operation standby declaration capacity can be verified according to the installed capacity and the winning power of each generator set, the operation standby declaration capacity passing the verification is the effective operation standby declaration capacity, and the effective operation standby declaration capacity can participate in clearing; the operation standby declaration capacity which is not passed through is verified, the operation standby declaration capacity is invalid, the invalid operation standby declaration capacity does not participate in clearing, and the verification formula is as follows:
Figure BDA0002378706680000071
in the formula (I), the compound is shown in the specification,
Figure BDA0002378706680000072
is the installed capacity of the generator set g,
Figure BDA0002378706680000073
is the winning power of the generator set g,
Figure BDA0002378706680000074
and reporting the capacity for the running standby of the generator set g. According to the embodiment of the application, the data reasonability of the running standby declaration capacity is verified, so that the subsequent clearing result is closer to the actual running requirement.
It is noted that step 202 and step 203 may be performed simultaneously.
And 204, constructing an operation standby decision clearing objective function and a decision constraint condition based on the effective operation standby declaration capacity, the operation standby declaration price of the generator set, the power grid operation basic data and the power flow power of the section of the ground state power flow.
It should be noted that, the objective function obtained by running the standby decision is:
Figure BDA0002378706680000081
wherein NG is the number of the wind turbines,
Figure BDA0002378706680000082
the bid winning capacity is reserved for the operation of the generator set g,
Figure BDA0002378706680000083
and reporting the price for the running standby of the generator set g.
The decision constraints include: system operation standby margin constraint, partition operation standby margin constraint, transmission capability constraint and clearing rationality constraint;
the system operation standby margin constraint means that the operation standby bid winning capacity of all generator sets of the whole network must exceed the minimum value of the system operation standby requirement, namely:
Figure BDA0002378706680000084
wherein the content of the first and second substances,
Figure BDA0002378706680000085
reserve bid amount for generator set g operation, RS,minA limit for a reserve capacity requirement for system operation;
the limitation of the partition operation standby margin refers to the limitation that the operation standby bid amount of each area in the power grid must exceed the operation standby requirement in the partition, namely:
Figure BDA0002378706680000086
wherein g is NiFor all the generator sets located in zone i,
Figure BDA0002378706680000087
a limit value for the operating reserve capacity requirement for partition i;
the transmission capacity constraint means that due to section limitation, standby calling of the generator set in operation may cause section overload, so that the problem that standby operation is unavailable is caused, namely:
Figure BDA0002378706680000088
wherein the content of the first and second substances,
Figure BDA0002378706680000089
is a tidal current power transfer distribution factor between the generator set g and the section s,
Figure BDA00023787066800000810
is the limit value of the tidal current power of the section s,
Figure BDA00023787066800000811
the bid winning capacity is reserved for the operation of the generator set g,
Figure BDA00023787066800000812
the method comprises the following steps that (1) the tidal current power of a section s in the ground state tidal current is obtained, and NG is the number of wind turbine generators;
the out-of-service rationality constraint means that the bid winning capacity of the running standby of each generator set cannot exceed the declared capacity, namely:
Figure BDA0002378706680000091
wherein the content of the first and second substances,
Figure BDA0002378706680000092
and reporting the capacity for the running standby of the generator set g.
The embodiment of the application considers that the coupling relation between the electric energy and the operation standby exists objectively, and the coupling relation is not considered in the decision clearing process, so that the clearing result of the potential electric energy or the operation equipment can not meet the actual operation requirement, and the problem of influencing safe power supply is solved. In order to improve the safety of power supply of a power grid, the coupling relation of the network transmission capacity is considered in the embodiment of the application, so that the coupling relation of the electric energy and the operation standby which can be considered in the combined clearing mode is realized in the decision constraint condition by considering the network transmission capacity constraint.
And step 205, optimizing the running standby decision clearing objective function through an optimization algorithm based on the decision constraint condition to obtain a clearing result.
It should be noted that the constructed operational standby decision-making clear objective function can be optimized through optimization algorithms such as an interior point method and a simplex method, the operational standby decision-making clear objective function can be optimized through the existing software optimization package, and the optimal operational standby bid-winning capacity of each generator set is output.
For ease of understanding, referring to fig. 3, the present application provides an embodiment of a standby emptying device for a day-ahead electric power spot market operation, comprising:
the obtaining module 301 is configured to obtain basic data of power grid operation, declaration data and winning power of each generator set, where the declaration data includes an operation standby declaration capacity and a declaration price of the generator set, and the basic data of power grid operation includes an installed capacity of the generator set, a power grid section, a section control limit value, and a tidal power transfer distribution factor between the generator set and the section.
And the checking module 302 is used for checking the operating standby declared capacity according to the installed capacity and the winning power of the generator set to obtain the effective operating standby declared capacity.
The construction module 303 is configured to construct an operation standby decision clearing objective function and a decision constraint condition based on the effective operation standby declaration capacity, the operation standby declaration price of the generator set, the power grid operation basic data and the tidal power of the section of the ground state tidal current, wherein the ground state tidal current is obtained by calculation based on the winning bid power of each generator set, and the decision constraint condition includes network transmission capability constraint.
And the optimization module 304 is configured to optimize the running standby decision clearing objective function through an optimization algorithm based on the decision constraint condition to obtain a clearing result.
Further, still include:
and the calculating module 305 is configured to calculate the tidal current distribution based on the bid winning power of each generator set to obtain the ground state tidal current.
Further, the verification module is specifically configured to:
the operating standby declared capacity is verified according to the installed capacity and the winning power of the generator set, and the verification formula is as follows:
Figure BDA0002378706680000101
wherein the content of the first and second substances,
Figure BDA0002378706680000102
is the installed capacity of the generator set g,
Figure BDA0002378706680000103
is the winning power of the generator set g,
Figure BDA0002378706680000104
reporting the capacity for the running standby of the generator set g;
and taking the running standby declared capacity passing the verification as the effective running standby declared capacity.
The application also provides standby output equipment for the operation of the day-ahead power spot market, which comprises a processor and a memory;
the memory is used for storing the program codes and transmitting the program codes to the processor;
the processor is used for executing the day-ahead power spot market operation standby clearing method in the day-ahead power spot market operation standby clearing method embodiment according to instructions in the program codes.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit 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 application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for executing all or part of the steps of the method described in the embodiments of the present application through a computer device (which may be a personal computer, a server, or a network device). 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 above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (10)

1. A standby export method for the operation of a day-ahead electric power spot market is characterized by comprising the following steps:
acquiring power grid operation basic data, declaration data and winning power of each generator set, wherein the declaration data comprises operation standby declaration capacity and declaration price of the generator sets, and the power grid operation basic data comprises installed capacity of the generator sets, power grid sections, section control limit values and tidal current power transfer distribution factors between the generator sets and the sections;
verifying the operation standby declaration capacity according to the installed capacity of the generator set and the winning power to obtain effective operation standby declaration capacity;
constructing an operation standby decision clearing objective function and decision constraint conditions based on the effective operation standby declaration capacity, the operation standby declaration price of the generator set, the power grid operation basic data and the power flow power of the section of the ground state power flow, wherein the ground state power flow is obtained by calculation based on the winning bid power of each generator set, and the decision constraint conditions comprise network transmission capacity constraints;
and optimizing the running standby decision clearing objective function through an optimization algorithm based on the decision constraint condition to obtain a clearing result.
2. The method of claim 1, wherein constructing a running backup decision outcome objective function and decision constraints based on the active running backup declared capacity, the grid running base data, and the tidal power of the profile of the ground state tidal current further comprises:
and calculating the tide current distribution based on the winning power of each generator set to obtain the ground state tide.
3. The method of claim 1, wherein the verifying the operational backup declared capacity according to installed capacity of the generator set and the winning bid power to obtain an effective operational backup declared capacity comprises:
and verifying the operation standby declaration capacity according to the installed capacity of the generator set and the winning power, wherein a verification formula is as follows:
Figure FDA0002378706670000011
wherein the content of the first and second substances,
Figure FDA0002378706670000012
is the installed capacity of the generator set g,
Figure FDA0002378706670000013
is the winning power of the generator set g,
Figure FDA0002378706670000014
reporting the capacity for the running standby of the generator set g;
and taking the running standby declared capacity passing the verification as the effective running standby declared capacity.
4. The method of claim 1, wherein the operational standby decision clearing objective function is:
Figure FDA0002378706670000021
wherein NG is the number of the wind turbines,
Figure FDA0002378706670000022
the bid winning capacity is reserved for the operation of the generator set g,
Figure FDA0002378706670000023
and reporting the price for the running standby of the generator set g.
5. The method of claim 1, wherein the network transport capacity is constrained to be
Figure FDA0002378706670000024
Wherein the content of the first and second substances,
Figure FDA0002378706670000025
is a tidal current power transfer distribution factor between the generator set g and the section s,
Figure FDA0002378706670000026
is the limit value of the tidal current power of the section s,
Figure FDA0002378706670000027
the bid winning capacity is reserved for the operation of the generator set g,
Figure FDA0002378706670000028
the power is the tidal current power of a section s in the ground state tidal current, and NG is the number of the wind turbine generators.
6. The method for day-ahead power spot market operations standby closeout of claim 1, wherein the decision constraints further comprise:
and (3) system operation standby margin constraint:
Figure FDA0002378706670000029
wherein the content of the first and second substances,
Figure FDA00023787066700000210
reserve bid amount for generator set g operation, RS,minA limit for a reserve capacity requirement for system operation;
and (3) partition operation standby margin constraint:
Figure FDA00023787066700000211
wherein g is NiFor all the generator sets located in zone i,
Figure FDA00023787066700000212
a limit value for the operating reserve capacity requirement for partition i;
and (3) clear rationality constraint:
Figure FDA00023787066700000213
wherein the content of the first and second substances,
Figure FDA00023787066700000214
and reporting the capacity for the running standby of the generator set g.
7. The utility model provides a stand-by play cleaning device of day-ahead electric power spot market operation which characterized in that includes:
the system comprises an acquisition module, a power grid operation module and a power generation module, wherein the acquisition module is used for acquiring power grid operation basic data, declaration data and winning power of each power generation unit, the declaration data comprises operation standby declaration capacity and declaration price of the power generation units, and the power grid operation basic data comprises installed capacity of the power generation units, power grid sections, section control limit values and tidal current power transfer distribution factors between the power generation units and the sections;
the checking module is used for checking the operation standby declaration capacity according to the installed capacity of the generator set and the winning power to obtain effective operation standby declaration capacity;
the construction module is used for constructing an operation standby decision-making clearing objective function and decision-making constraint conditions based on the effective operation standby declaration capacity, the operation standby declaration price of the generator sets, the power grid operation basic data and the tidal current power of the sections of the ground state tidal current, the ground state tidal current is obtained by calculation based on the winning bid power of each generator set, and the decision-making constraint conditions comprise network transmission capacity constraints;
and the optimization module is used for optimizing the running standby decision clearing objective function through an optimization algorithm based on the decision constraint condition to obtain a clearing result.
8. The day-ahead power spot market operations standby closeout of claim 7, further comprising:
and the calculation module is used for calculating the tide current distribution based on the winning power of each generator set to obtain the ground state tide.
9. The future electric power spot market operation standby emptying device according to claim 7, wherein the verification module is specifically configured to:
and verifying the operation standby declaration capacity according to the installed capacity of the generator set and the winning power, wherein a verification formula is as follows:
Figure FDA0002378706670000031
wherein the content of the first and second substances,
Figure FDA0002378706670000032
is the installed capacity of the generator set g,
Figure FDA0002378706670000033
is the winning power of the generator set g,
Figure FDA0002378706670000034
reporting the capacity for the running standby of the generator set g;
and taking the running standby declared capacity passing the verification as the effective running standby declared capacity.
10. A day-ahead power spot market operational standby closeout apparatus, the apparatus comprising a processor and a memory;
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute the day-ahead power spot market run standby closeout method of any of claims 1-6 according to instructions in the program code.
CN202010076901.4A 2020-01-23 2020-01-23 Method, device and equipment for standby discharge in day-ahead electric power spot market operation Pending CN111311433A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111951121A (en) * 2020-07-20 2020-11-17 广东电力交易中心有限责任公司 Electric power spot market quotation mode classification method, device and storage medium
CN113902490A (en) * 2021-10-22 2022-01-07 深圳供电局有限公司 Electric energy spot and running standby combined transaction clearing method and system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107392432A (en) * 2017-06-27 2017-11-24 东南大学 The frequency modulation electric reserve market implementation method of long-term electricity contract energy decomposition in consideration
CN108879795A (en) * 2018-07-18 2018-11-23 广西电网有限责任公司电力科学研究院 The spinning reserve and electric energy combined optimization for considering power system security constraints go out clearing method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107392432A (en) * 2017-06-27 2017-11-24 东南大学 The frequency modulation electric reserve market implementation method of long-term electricity contract energy decomposition in consideration
CN108879795A (en) * 2018-07-18 2018-11-23 广西电网有限责任公司电力科学研究院 The spinning reserve and electric energy combined optimization for considering power system security constraints go out clearing method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
林洁等: "考虑电能与备用联合出清的日前调度优化方法" *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111951121A (en) * 2020-07-20 2020-11-17 广东电力交易中心有限责任公司 Electric power spot market quotation mode classification method, device and storage medium
CN113902490A (en) * 2021-10-22 2022-01-07 深圳供电局有限公司 Electric energy spot and running standby combined transaction clearing method and system

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