CN110867904A - Electric quantity clearing method and device - Google Patents
Electric quantity clearing method and device Download PDFInfo
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- CN110867904A CN110867904A CN201911178564.3A CN201911178564A CN110867904A CN 110867904 A CN110867904 A CN 110867904A CN 201911178564 A CN201911178564 A CN 201911178564A CN 110867904 A CN110867904 A CN 110867904A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The invention relates to an electric quantity clearing method and equipment, which are characterized in that data such as electric quantity price, wind abandoning price, electric quantity price, peak shaving price and electric quantity demand prediction of each coal-fired unit and the like of each wind power plant are obtained, the data are input into a pre-constructed electric quantity clearing model, a power generation plan and a peak shaving capacity plan of each coal-fired unit and a power generation plan of each wind power plant are output after calculation, and then power generation of each coal-fired unit and each wind power plant is controlled according to the output power generation plan and the peak shaving capacity plan of each coal-fired unit and the output power generation plan of each wind power plant. Because the relation between power generation and peak shaving service is comprehensively considered, the power generation and the peak shaving service can be simultaneously cleared, and the operation of the generator set also conforms to the safety standard.
Description
Technical Field
The invention relates to the technical field of electric power system scheduling operation, in particular to an electric quantity clearing method and equipment.
Background
The middle-long term market trading system of electric power in China is gradually improved, and at present, the spot trading of electric quantity and peak shaving service trading become two main trading varieties. The clearing method in the market transaction mechanism mainly comprises two stages of clearing of electric quantity spot transaction and peak shaving service transaction, wherein the transaction contents and key points in each stage are as follows:
the first stage is the electric quantity spot transaction without considering the peak shaving service, the coal-fired unit only provides the basic peak shaving service and does not provide the paid peak shaving service, and the wind power plant distributes the peak shaving service requirement according to a certain proportion relation;
and in the second stage, peak regulation service trading under a given electric quantity power generation plan is carried out, and peak regulation service is independently decided and cleared according to peak regulation service declaration data of a wind power plant and a coal-fired power plant.
However, since the power and the peak shaving service are closely coupled, it is difficult to consider the influence between the two-stage clearing result by adopting the two-stage clearing mode, so that the clearing result is not always a global optimal solution, and resource waste is caused.
Disclosure of Invention
In view of the above, the present invention provides a method and an apparatus for clearing power, which comprehensively consider the relation between the power and the peak shaving service and seek the best clearing way on the premise of meeting the safe operation specification.
In order to achieve the purpose, the invention adopts the following technical scheme:
a power scavenging method, comprising:
acquiring the electricity price and the wind abandoning price of each wind power plant, the electricity price and the peak shaving price of each coal-fired unit and the electricity demand prediction;
inputting the acquired electricity price and the abandoned wind price of each wind power plant, the electricity price and the peak shaving price of each coal-fired unit and the electricity demand prediction into a pre-constructed electricity clearing model, and outputting a power generation plan and a peak shaving capacity plan of each coal-fired unit and a power generation plan of each wind power plant;
and controlling the coal-fired units and the wind power plants to generate power according to the output power generation plans and peak shaving capacity plans of the coal-fired units and the output power generation plans of the wind power plants.
Optionally, the method for constructing the electric quantity clearing model includes:
constructing a comprehensive lowest electricity purchasing cost objective function;
establishing a power grid operation safety constraint condition;
establishing a power balance constraint condition;
establishing a constraint condition of the unit operation characteristic;
and constructing an electric quantity clearing model by utilizing the comprehensive lowest electricity purchasing cost objective function, the power grid operation safety constraint condition, the electric power balance constraint condition and the unit operation characteristic constraint condition.
Optionally, the comprehensive electricity purchasing cost includes: electricity procurement cost, peak shaving service cost and wind abandonment cost.
Optionally, the establishing of the constraint condition of the unit operation characteristic includes:
establishing constraint conditions of the operating characteristics of the coal-fired unit;
and establishing a constraint condition of the operating characteristic of the wind power plant.
Optionally, the constructing of the lowest target of the comprehensive electricity purchasing cost includes:
constructing a comprehensive electricity purchasing cost minimum target according to the following formula:
wherein the content of the first and second substances,
for the electricity purchasing cost, NT is the number of time periods divided by the whole-day scheduling, and delta T is the time period interval duration; NF is the number of the whole network coal-fired units,
is as followsf the electricity price of the coal-fired unit,
the power generation power plan of the f-th coal-fired unit at the moment t is shown, NW is the number of the wind power plants of the whole network,
for the electricity price of the w-th wind farm,
planning the generated power of the w wind power plant at the moment t;
in order to adjust the peak-shaving service cost,
the deep peak shaving price for the f coal-fired unit participating in the peak shaving service,
the deep peak shaving capacity provided by the f coal-fired unit at the moment t;
cost for wind abandonment, pW,AIn order to abandon the price factor of the wind power,
and the wind curtailment power at the moment t of the w wind power plant.
Optionally, the establishing of the grid operation safety constraint condition includes:
establishing a power grid operation safety constraint condition according to the following formula:
wherein the content of the first and second substances,
a lower limit value of the transmission capacity of the operating section s,
the upper limit value of the transmission capacity of the operation section s; NB is the number of nodes in the system; GSDF (Global System for function & data function)b,sThe power transfer distribution factor of the node b and the operating section s,
load prediction at time t for node b; b (f) represents a coal-fired unit f connected to node b,
planning the power generation power of the f-th coal-fired unit at the moment t; b (w) denotes a wind farm w connected to node b,
and planning the generated power of the w wind power plant at the moment t.
Optionally, the establishing the power balance constraint condition includes:
establishing a power balance constraint condition according to the following formula:
wherein the content of the first and second substances,
for the sum of the load predictions at all nodes at time t,
for the power supply at time t of all coal-fired units,
for the power supply at all wind farm moments t.
Optionally, the establishing of the constraint condition of the operating characteristic of the coal-fired unit includes:
establishing a constraint condition of the operating characteristics of the coal-fired unit according to the following formula:
wherein the content of the first and second substances,
a 0-1 state variable for whether the coal-fired unit f provides peak shaving service at time t,
for the minimum technical output of the coal-fired unit f,
is the maximum technical output of the coal-fired unit f,
planning the power generation power of the f-th coal-fired unit at the moment t;
is the upper limit of the climbing capacity of the coal-fired unit f,
the lower limit of the climbing capability of the coal-fired unit f;
the deep peak shaving capacity provided by the f coal-fired unit at the moment t.
Optionally, the establishing of the constraint condition of the operating characteristic of the wind farm includes:
establishing a constraint condition of the operating characteristics of the wind power plant according to the following formula:
wherein the content of the first and second substances,
the generated power plan at time t for the w-th wind farm,
predicting the power of the wind power plant w at the moment t;
and the wind curtailment power at the moment t of the w wind power plant.
A demand response control apparatus comprising:
a processor, and a memory coupled to the processor;
the memory is used for storing a computer program;
the processor is configured to call and execute the computer program in the memory to perform the steps of the method as described in any one of the above.
The technical scheme provided by the application can comprise the following beneficial effects:
the method comprises the steps of obtaining data such as the electricity price and the wind abandon price of each wind power plant, the electricity price and the peak shaving price of each coal-fired unit, electricity demand prediction and the like, inputting the data into a pre-constructed electricity clearing model, calculating, outputting the power generation plan and the peak shaving capacity plan of each coal-fired unit and the power generation plan of each wind power plant, and controlling each coal-fired unit and each wind power plant to generate power according to the output power generation plan and the peak shaving capacity plan of each coal-fired unit and the output power generation plan of each wind power plant. Because the relation between power generation and peak shaving service is comprehensively considered, the power generation and the peak shaving service can be simultaneously cleared, and the operation of the generator set also conforms to the safety standard.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of an electric quantity clearing method according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for constructing an electric quantity clearing model according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of an electric quantity output device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
The traditional power generation mode is generally power generation by a coal-fired unit, the power generation by a wind power plant becomes another important mode of power supply along with the rise of clean energy, but because the wind power generation is greatly influenced by environmental factors, the power generation power is unstable, and the peak regulation auxiliary service is required to be provided by the coal-fired unit to stabilize the power supply voltage, so that the factor of clearing the electric quantity is more complicated.
On the basis, the application provides an electric quantity clearing method, and the electric quantity clearing method is combined with the power consumption requirement and other optimization targets to achieve combined clearing of electric energy and peak regulation auxiliary service.
Referring to fig. 1, fig. 1 is a flowchart of an electric quantity clearing method according to an embodiment of the present invention. As shown in fig. 1, the method for clearing the electric quantity provided by this embodiment may specifically include the following steps:
s101, obtaining the electricity price and the wind abandoning price of each wind power plant, the electricity price and the peak shaving price of each coal-fired unit and predicting the electricity demand.
S102, inputting the acquired electricity price and the acquired wind abandoning price of each wind power plant, the electricity price and the peak shaving price of each coal-fired unit and the electricity demand prediction, inputting a pre-constructed electricity clearing model, and outputting a power generation plan and a peak shaving capacity plan of each coal-fired unit and a power generation plan of each wind power plant.
And S103, controlling the coal-fired units and the wind power plants to generate power according to the output power generation plans of the coal-fired units, the output peak shaving capacity plans and the output power generation plans of the wind power plants.
The method comprises the steps of obtaining data such as the electricity price and the abandoned wind price of each wind power plant, the electricity price, the peak shaving price and the electricity demand prediction of each coal-fired unit, inputting the data into a pre-constructed electricity clearing model, calculating and outputting the power generation plan and the peak shaving capacity plan of each coal-fired unit and the power generation plan of each wind power plant, and controlling each coal-fired unit and each wind power plant to generate power according to the output power generation plan and the peak shaving capacity plan of each coal-fired unit and the output power generation plan of each wind power plant. Because the relation between power generation and peak shaving service is comprehensively considered, the power generation and the peak shaving service can be simultaneously cleared, and the operation of the generator set also conforms to the safety standard.
As to a specific construction manner of the power output model, refer to fig. 2, where fig. 2 is a flowchart of a construction method of the power output model according to an embodiment of the present invention. As shown in fig. 2, the method for constructing a supernatant model provided in this embodiment may specifically include the following steps:
s201, constructing a lowest objective function of the comprehensive electricity purchasing cost.
The lowest electricity purchasing cost of the whole society is taken as an optimization target of model calculation.
Specifically, the comprehensive electricity purchasing cost may include: electricity procurement cost, peak shaving service cost and wind abandonment cost.
And S202, establishing a power grid operation safety constraint condition.
The power grid operation safety constraint means that each operation section must be within the limit value range in order to meet the requirements of safe and stable operation of the power grid. Generally, under a certain ground state power flow, a transmission line in which the active power flow direction is completely consistent and the distances between different electric bodies are basically similar is called a transmission section.
And S203, establishing a power balance constraint condition.
The power balance constraint is that the power supply and demand of the power grid in each period must be balanced in real time.
And S204, establishing a constraint condition of the unit operation characteristic.
The unit operating characteristic constraints refer to operating characteristics that must be met for the operation of the coal-fired unit and the wind farm.
And S205, constructing an electric quantity clearing model by utilizing the lowest comprehensive electricity purchasing cost objective function, the power grid operation safety constraint condition, the electric power balance constraint condition and the unit operation characteristic constraint condition.
According to the above analysis, specifically, establishing the constraint condition of the unit operation characteristic may include:
1) and establishing constraint conditions of the operating characteristics of the coal-fired unit.
The coal-fired unit operation characteristic constraints comprise output range constraints, climbing capacity constraints, peak-shaving capacity relation constraints and the like.
The output range constraint requires that the output of the generator set is between the maximum technical output (rated capacity) and the minimum technical output under the condition that no peak shaving auxiliary service is provided;
the climbing capacity constraint means that the power generation plan variation of the coal-fired unit between adjacent moments cannot exceed the output adjustment rate of the coal-fired unit;
the peak shaving capacity relation is the relation between the peak shaving auxiliary service capacity, the minimum technical output and the generating power of the unit when the unit is in the peak shaving state.
It can be seen that these constraints are set based on the operational characteristics and safe operation of the coal-fired unit.
2) And establishing a constraint condition of the operating characteristic of the wind power plant.
The wind power plant operation characteristic constraint comprises an output range constraint, a curtailment wind power relation constraint and the like.
The output range constraint requires that the output of any wind power plant at any moment does not exceed the power predicted value;
the curtailment wind power relationship is a relationship between curtailment wind power, predicted power, and a power generation plan.
Specifically, the construction of the lowest comprehensive electricity purchasing cost target comprises the following steps:
constructing a comprehensive electricity purchasing cost minimum target according to the following formula:
wherein the content of the first and second substances,
for the electricity purchasing cost, NT is the number of time periods divided by the whole-day scheduling, and delta T is the time period interval duration; NF is the number of the whole network coal-fired units,
for the electricity price of the f-th coal-fired unit,
the power generation power plan of the f-th coal-fired unit at the moment t is shown, NW is the number of the wind power plants of the whole network,
for the electricity price of the w-th wind farm,
planning the generated power of the w wind power plant at the moment t;
for peak shaving serviceThe utility model relates to a novel water-saving device,
the deep peak shaving price for the f coal-fired unit participating in the peak shaving service,
the deep peak shaving capacity provided by the f coal-fired unit at the moment t;
cost for wind abandonment, pW,AIn order to abandon the price factor of the wind power,
and the wind curtailment power at the moment t of the w wind power plant.
Specifically, establishing the power grid operation safety constraint condition comprises the following steps:
establishing a power grid operation safety constraint condition according to the following formula:
wherein the content of the first and second substances,
a lower limit value of the transmission capacity of the operating section s,
the upper limit value of the transmission capacity of the operation section s; NB is the number of nodes in the system; GSDF (Global System for function & data function)b,sThe power transfer distribution factor of the node b and the operating section s,
load prediction at time t for node b; b (f) represents a coal-fired unit f connected to node b,
planning the power generation power of the f-th coal-fired unit at the moment t; b (w) represents a node b connected toThe wind farm w is set up,
and planning the generated power of the w wind power plant at the moment t.
Specifically, establishing the power balance constraint condition includes:
establishing a power balance constraint condition according to the following formula:
wherein the content of the first and second substances,
for the sum of the load predictions at all nodes at time t,
for the power supply at time t of all coal-fired units,
for the power supply at all wind farm moments t.
Specifically, the establishment of the constraint conditions of the operating characteristics of the coal-fired unit comprises the following steps:
establishing a constraint condition of the operating characteristics of the coal-fired unit according to the following formula:
wherein the content of the first and second substances,
0 for providing peak shaving service for coal-fired unit f at time t-1 a state variable of a state,
for the minimum technical output of the coal-fired unit f,
is the maximum technical output of the coal-fired unit f,
planning the power generation power of the f-th coal-fired unit at the moment t;
is the upper limit of the climbing capacity of the coal-fired unit f,
the lower limit of the climbing capability of the coal-fired unit f;
the deep peak shaving capacity provided by the f coal-fired unit at the moment t.
Specifically, establishing the constraint conditions of the operating characteristics of the wind power plant comprises the following steps:
establishing a constraint condition of the operating characteristics of the wind power plant according to the following formula:
wherein the content of the first and second substances,
the generated power plan at time t for the w-th wind farm,
predicting the power of the wind power plant w at the moment t;
and the wind curtailment power at the moment t of the w wind power plant.
The electric quantity clearing model in the application is a mixed integer programming problem, can be solved by using optimization algorithms such as a branch-and-bound method and the like, can also be directly solved by using a mature optimization software package (Cplex) and the like, and the specific process of solving is not repeated.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an electric quantity discharging device according to an embodiment of the present invention. As shown in fig. 3, the power output clearing device provided in this embodiment may specifically include:
a processor 301, and a memory 302 connected to the processor 301;
the memory 302 is used to store computer programs;
the processor 301 is configured to call and execute the computer program in the memory 302 to perform the steps of the method according to any of the above embodiments.
The technical means adopted in this embodiment is the same as any of the above embodiments, and the specific implementation manner may refer to any of the above embodiments to produce the same technical effects, which is not described in detail herein.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that the terms "first," "second," and the like in the description of the present invention are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present invention, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and alternate implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present invention.
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.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean 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, the schematic representations of the terms used above 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.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. A method for clearing electric quantity, comprising:
acquiring the electricity price and the wind abandoning price of each wind power plant, the electricity price and the peak shaving price of each coal-fired unit and the electricity demand prediction;
inputting the acquired electricity price and the abandoned wind price of each wind power plant, the electricity price and the peak shaving price of each coal-fired unit and the electricity demand prediction into a pre-constructed electricity clearing model, and outputting a power generation plan and a peak shaving capacity plan of each coal-fired unit and a power generation plan of each wind power plant;
and controlling the coal-fired units and the wind power plants to generate power according to the output power generation plans and peak shaving capacity plans of the coal-fired units and the output power generation plans of the wind power plants.
2. The power output method according to claim 1, wherein the power output model construction method comprises:
constructing a comprehensive lowest electricity purchasing cost objective function;
establishing a power grid operation safety constraint condition;
establishing a power balance constraint condition;
establishing a constraint condition of the unit operation characteristic;
and constructing an electric quantity clearing model by utilizing the comprehensive lowest electricity purchasing cost objective function, the power grid operation safety constraint condition, the electric power balance constraint condition and the unit operation characteristic constraint condition.
3. The power scavenging method according to claim 2, wherein the comprehensive electricity purchasing cost comprises: electricity procurement cost, peak shaving service cost and wind abandonment cost.
4. The power scavenging method according to claim 2, wherein the establishing of the unit operating characteristic constraints comprises:
establishing constraint conditions of the operating characteristics of the coal-fired unit;
and establishing a constraint condition of the operating characteristic of the wind power plant.
5. The power scavenging method according to claim 2, wherein the constructing of the lowest overall purchase cost target comprises:
constructing a comprehensive electricity purchasing cost minimum target according to the following formula:
wherein the content of the first and second substances,
for the electricity purchasing cost, NT is the number of time periods divided by the whole-day scheduling, and delta T is the time period interval duration; NF is the number of the whole network coal-fired units,
for the electricity price of the f-th coal-fired unit,
the power generation power plan of the f-th coal-fired unit at the moment t is shown, NW is the number of the wind power plants of the whole network,
for the electricity price of the w-th wind farm,
planning the generated power of the w wind power plant at the moment t;
in order to adjust the peak-shaving service cost,
the deep peak shaving price for the f coal-fired unit participating in the peak shaving service,
the deep peak shaving capacity provided by the f coal-fired unit at the moment t;
cost for wind abandonment, pW，AIn order to abandon the price factor of the wind power,
and the wind curtailment power at the moment t of the w wind power plant.
6. The power scavenging method according to claim 2, wherein the establishing of the grid operation safety constraint comprises:
establishing a power grid operation safety constraint condition according to the following formula:
wherein the content of the first and second substances,
a lower limit value of the transmission capacity of the operating section s,
the upper limit value of the transmission capacity of the operation section s; NB is the number of nodes in the system; GSDF (Global System for function & data function)b，sThe power transfer distribution factor of the node b and the operating section s,
load prediction at time t for node b; b (f) represents a coal-fired unit f connected to node b,
planning the power generation power of the f-th coal-fired unit at the moment t; b (w) denotes a wind farm w connected to node b,
and planning the generated power of the w wind power plant at the moment t.
7. The power scavenging method according to claim 2, wherein the establishing of the power balance constraint comprises:
establishing a power balance constraint condition according to the following formula:
wherein the content of the first and second substances,
for the sum of the load predictions at all nodes at time t,
for the power supply at time t of all coal-fired units,
for the power supply at all wind farm moments t.
8. The method of claim 4, wherein establishing coal-fired unit operating characteristic constraints comprises:
establishing a constraint condition of the operating characteristics of the coal-fired unit according to the following formula:
wherein the content of the first and second substances,
a 0-1 state variable for whether the coal-fired unit f provides peak shaving service at time t,
for the minimum technical output of the coal-fired unit f,
is the maximum technical output of the coal-fired unit f,
planning the power generation power of the f-th coal-fired unit at the moment t;
is the upper limit of the climbing capacity of the coal-fired unit f,
the lower limit of the climbing capability of the coal-fired unit f;
the deep peak shaving capacity provided by the f coal-fired unit at the moment t.
9. The power scavenging method according to claim 4, wherein the establishing wind farm operating characteristic constraints comprises:
establishing a constraint condition of the operating characteristics of the wind power plant according to the following formula:
wherein the content of the first and second substances,
the generated power plan at time t for the w-th wind farm,
predicting the power of the wind power plant w at the moment t;
and the wind curtailment power at the moment t of the w wind power plant.
10. A demand-response control apparatus, characterized by comprising:
a processor, and a memory coupled to the processor;
the memory is used for storing a computer program;
the processor is configured to invoke and execute the computer program in the memory to perform the steps of the method of any one of claims 1-9.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111628532A (en) * | 2020-05-20 | 2020-09-04 | 中国南方电网有限责任公司 | Method and device for determining output clear electricity quantity, computer equipment and storage medium |
| CN111724254A (en) * | 2020-05-27 | 2020-09-29 | 中国南方电网有限责任公司 | Method, system, device and medium for peak regulation auxiliary service and electric energy combined clearing |
| CN117217822A (en) * | 2023-11-08 | 2023-12-12 | 北京东润环能科技股份有限公司 | Method, device, terminal equipment and storage medium for predicting power transaction index |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111628532A (en) * | 2020-05-20 | 2020-09-04 | 中国南方电网有限责任公司 | Method and device for determining output clear electricity quantity, computer equipment and storage medium |
| CN111628532B (en) * | 2020-05-20 | 2021-03-30 | 中国南方电网有限责任公司 | Method and device for determining output clear electricity quantity, computer equipment and storage medium |
| CN111724254A (en) * | 2020-05-27 | 2020-09-29 | 中国南方电网有限责任公司 | Method, system, device and medium for peak regulation auxiliary service and electric energy combined clearing |
| CN111724254B (en) * | 2020-05-27 | 2024-02-06 | 中国南方电网有限责任公司 | Peak regulation auxiliary service and electric energy combined clearing method, system, device and medium |
| CN117217822A (en) * | 2023-11-08 | 2023-12-12 | 北京东润环能科技股份有限公司 | Method, device, terminal equipment and storage medium for predicting power transaction index |
| CN117217822B (en) * | 2023-11-08 | 2024-02-13 | 北京东润环能科技股份有限公司 | Method, device, terminal equipment and storage medium for predicting power transaction index |
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