CN111538952B - Flexible medium-long term transaction checking method for electric power market - Google Patents
Flexible medium-long term transaction checking method for electric power market Download PDFInfo
- Publication number
- CN111538952B CN111538952B CN202010248186.8A CN202010248186A CN111538952B CN 111538952 B CN111538952 B CN 111538952B CN 202010248186 A CN202010248186 A CN 202010248186A CN 111538952 B CN111538952 B CN 111538952B
- Authority
- CN
- China
- Prior art keywords
- power
- power generation
- generation space
- checking
- long term
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000010248 power generation Methods 0.000 claims abstract description 106
- 230000007774 longterm Effects 0.000 claims abstract description 30
- 238000012795 verification Methods 0.000 claims abstract description 18
- 238000012384 transportation and delivery Methods 0.000 claims abstract description 5
- 238000004364 calculation method Methods 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 10
- 238000010521 absorption reaction Methods 0.000 claims description 3
- 230000002354 daily effect Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
- 230000009467 reduction Effects 0.000 description 5
- 238000000354 decomposition reaction Methods 0.000 description 4
- 230000005611 electricity Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000007726 management method Methods 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000013439 planning Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000029087 digestion Effects 0.000 description 1
- 238000005538 encapsulation Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000007789 sealing Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Data Mining & Analysis (AREA)
- Marketing (AREA)
- Mathematical Analysis (AREA)
- Operations Research (AREA)
- Health & Medical Sciences (AREA)
- Pure & Applied Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Mathematical Physics (AREA)
- Tourism & Hospitality (AREA)
- Mathematical Optimization (AREA)
- Computational Mathematics (AREA)
- Software Systems (AREA)
- Quality & Reliability (AREA)
- Development Economics (AREA)
- General Engineering & Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Entrepreneurship & Innovation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Biology (AREA)
- Databases & Information Systems (AREA)
- Algebra (AREA)
- Probability & Statistics with Applications (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The application discloses a flexible medium-long term transaction checking method in an electric power market. The method is suitable for long-term transaction verification in the power market. According to the method, a medium-long term admittance space is formed according to the system load prediction and the tie-line delivery plan at each moment of the operation day, and the medium-long term admittance space curves of the thermal power and the new energy in the operation day are calculated by taking the new energy power generation capacity prediction and the water-electricity medium-long term settlement curves into consideration. And according to the medium-long term admitting space curves in the operation days, checking the total amount of medium-long term electric quantity and curves declared by the main bodies of the thermal power and new energy markets, and finally generating medium-long term checking curves of the main bodies of the markets so as to ensure that the total amount of the medium-long term curves of the thermal power and the new energy does not exceed the medium-long term admitting space.
Description
Technical Field
The application relates to the field of power markets, in particular to a flexible long-term transaction checking method in the power market.
Background
According to the 'medium-long term transaction rule of electricity saving in Gansu' issued by Gansu energy supervision, the medium-long term transaction covers different time scales of years, months and the like, and comprises transaction varieties of direct electricity purchasing transaction of large users in provinces, contract electric quantity transfer transaction, transfer transaction of self-contained power plants to new energy power generation rights, cross-provinces and cross-regions medium-long term transaction and the like. For medium-and-long-term contracts requiring physical execution, such as medium-and-long-term transactions, the contract must be executable by a power check party of a dispatching mechanism. The medium-long term transaction in the spot environment is carried out according to the principle that a market subject voluntarily participates, and if a certain market subject does not participate in the medium-long term transaction, the electricity generation of the market subject is all subjected to full-electricity settlement according to the price of the spot market.
The scheduling mechanism formulates the middle-long month electric quantity of each power plant according to the basic electric quantity and the middle-long contract electric quantity of the province. But how the power plant's medium and long term monthly power is decomposed to how much power needs to be performed every day, and how much medium and long term power needs to be scheduled by the power plant every time period. The medium-long-term benefits of each power plant are guaranteed, and the sum of the medium-long-term power which can be arranged at each moment of all the power plants is guaranteed not to exceed the total receiving space of the system. In order to solve the problems, a medium-long term transaction checking method suitable for the electric power market needs to be designed.
Disclosure of Invention
Aiming at the defects of the prior art, the application aims to provide a flexible medium-long term transaction checking method in the electric power market, so as to solve the problem that the medium-long term benefits of each power plant and the sum of the medium-long term electric power which can be arranged at each moment of all the power plants cannot exceed the total receiving space of the system in the prior art.
In order to solve the technical problems, the application adopts the following technical scheme:
a flexible mid-to-long term transaction verification method in an electric power market, the method comprising:
calculating to obtain a whole-network power generation space;
generating a declaration curve of the thermal power generating unit according to the middle and long-term residual electric quantity of the month and the thermal power generating space;
generating a declaration curve of the new energy power plant according to the middle and long-term residual electric quantity in the month and the running day new energy predicted value;
and checking declaration curves of the thermal power unit and the new energy power plant according to declaration proportion, monthly complete electric quantity, constraint conditions and full-network power generation space.
Further, the method for checking the declaration curve comprises the following steps:
checking a declaration curve of the thermal power generating unit according to declaration proportion and month completion electric quantity;
after the verification of the thermal power unit declaration curve is completed, judging whether the sum of the thermal power unit checked curve and the new energy power plant declaration curve exceeds the whole-network power generation space, and if so, checking the new energy power plant declaration curve.
Further, the constraint condition includes:
the upper limit of the checking result is the installed capacity of the checking unit when checking the declaration curve of the thermal power unit, and the lower limit of the checking result is the lowest technical output of the checking unit;
and the sum of the medium-long term checking curves of each station in the operation day does not exceed the medium-long term total absorption space of thermal power and new energy at the corresponding moment.
Further, the whole-network power generation space comprises a hydroelectric power generation space, a constraint thermal power generation space, a lean-authority power generation space, a self-contained and network-reserved power generation space, a new energy power generation space and a conventional thermal power generation space.
Further, the hydroelectric power generation space is equal to the sum of hydroelectric settlement curves;
the power generation space of the barren and privileged power plant is equal to the space for generating power by calculating the predicted value of the barren and privileged power plant;
the self-contained and network-reserved power plants have a power generation space equal to that calculated by the self-contained power plants and the network-reserved power plants by using fixed output.
Further, the whole-network power generation space is calculated according to the system load prediction and the tie-line delivery plan.
A flexible mid-to-long term transaction verification system for an electric power market, the system comprising:
the calculation module: the method is used for calculating and obtaining a whole-network power generation space;
a first generation module: the method comprises the steps of generating a declaration curve of a thermal power unit according to the middle and long-term residual electric quantity of the month and a thermal power generation space;
and a second generation module: the method comprises the steps of generating a declaration curve of a new energy power plant according to the middle and long-term residual electric quantity in the month and the operation day new energy predicted value;
and (3) checking a module: the method is used for checking declaration curves of the thermal power unit and the new energy power plant according to declaration proportion, monthly complete electric quantity, constraint conditions and full-network power generation space.
A flexible mid-to-long term transaction verification system for an electric power market, the system comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate according to the instructions to perform the steps of the method described above.
A computer readable storage medium having stored thereon a computer program which when executed by a processor realizes the steps of the method described above.
Compared with the prior art, the application has the following beneficial effects:
according to the method, the power quantity is checked by comprehensively considering the power generation priorities of the energy types according to the medium-and-long-term declaration curve of each power plant and the total power generation space of the whole network, so that the medium-and-long-term rights and interests of each power plant are ensured, and the sum of the medium-and-long-term power after checking at each moment of all the power plants is ensured not to exceed the total power generation space of the system.
Drawings
FIG. 1 is a flow chart of a flexible mid-to-long term transaction verification method for an electric power market.
Detailed Description
The following detailed description of the present application is provided to enable those skilled in the art to better understand and practice the present application.
In order to further perfect the medium-long term trading market and improve the flexibility of market trading, the total amount of the medium-long term electric quantity and the curve in the operation day declared by the main body of the thermal power and new energy market needs to be checked, and finally the medium-long term checking curve in each factory is generated. Before curve checking, according to a medium-long-term power generation space formed by system load prediction and a tie line delivery plan at each moment of an operation day, taking into consideration new energy power generation capacity prediction and a hydroelectric power generation space, and reserved power generation spaces of the right-of-hand and privileged power plants, self-provided power plants and network-reserved power plants, and respectively calculating to obtain a medium-long-term receiving space all-day curve of thermal power and new energy in the operation day. And carrying out total amount verification according to the medium-long term electric quantity and curves declared by the power plant according to the medium-long term admittance space all-day curves of different energy types, finally determining medium-long term verification curves of all stations on the operation day, and displaying the verification results to power generation enterprises.
As shown in fig. 1, a flexible method for checking long-term transactions in an electric power market includes the following steps:
(1) Power generation space calculation mode based on power generation right priority
Calculating the total power generation space of the whole network according to the system load prediction provided by the scheduling plan and the tie-line delivery plan, and sequentially calculating the following power generation spaces according to the power generation right priority by combining the actual running mode of medium-long term transaction of Gansu spot: the method comprises the steps of hydroelectric power generation space, constraint thermal power generation space, power generation space of a power plant with the right of authority of the poverty, power generation space of a self-contained and network-reserved power plant, new energy power generation space and power generation space of conventional thermal power, and accurate calculation of various power generation spaces based on power generation priority is achieved.
(2) Medium-and-long-term declaration generation mode based on monthly electric quantity
According to the monthly medium-long term plan of each power plant issued by the transaction center, the thermal power market member automatically declares the daily gain electric quantity of each unit according to the monthly medium-long term residual electric quantity, and then a thermal power unit declaring curve is generated according to the thermal power generation space. The new energy market member automatically generates a new energy power plant reporting curve according to the middle and long-term residual electric quantity of the month and the running day new energy predicted value, and the method takes the middle and long-term residual electric quantity of the month as a basis, so that the flexibility of the main market reporting is considered, and the rationality of the middle and long-term reporting is ensured.
(3) Electric power checking mode for completing electric quantity by considering declaration proportion and month
According to the medium-long-term power generation space curves of the thermal power generation unit and the new energy power plant generation curve, the total amount of the declaration curve of the thermal power generation unit and the new energy power plant generation curve are checked by comprehensively considering the declaration proportion and the month to finish the electric quantity, the declaration curve of the thermal power generation unit is checked preferentially, the check result exceeds the installed capacity and is lower than the minimum technical output, namely the upper limit of the check result when the declaration curve of the thermal power generation unit is checked is the installed capacity of the check unit, the lower limit of the check result is the minimum technical output of the check unit, and after the check of all the declaration curves of the thermal power generation unit is finished, whether the sum of the declaration curve of the thermal power generation unit and the new energy power plant exceeds the whole-network power generation space is judged, and if the sum exceeds the new energy power plant generation curve to be checked. The sum of the medium-long term checking curves of each station in the operation day is not more than the medium-long term total consumption space of thermal power and new energy at the corresponding moment.
(4) Data encapsulation management method considering data consistency
In consideration of the data consistency of the database in the medium-long-term market and the spot market, which is refreshed in real time after external system data such as a hydropower plan, a tie line plan, a new energy forecast value and the like are accessed, the method seals external access data and seals node data of each process in the medium-long term in order to ensure the medium-long term decomposition and the daily plan to use the same set of boundary conditions, and the consistency of the used data is ensured. And according to the actual running condition, if the sealed data needs to be reopened, unified management can be carried out through the data sealing management module.
The flexible method for checking the long-term transaction in the electric power market comprises the steps of medium-term decomposition in a hydropower plant, constraint thermal power output calculation, power generation space calculation, medium-term declaration of thermal power and new energy, medium-term checking calculation and release of checking results.
1. Long-term decomposition in hydropower plants
Assuming that the trade day is D, reporting medium-long-term daily electric quantity in the hydropower plant on D-2 days, sending the medium-long-term daily electric quantity to a new water place, returning a hydropower planning data file from the new water place, and completing medium-long-term hydropower decomposition according to the hydropower planning data.
2. Constrained thermal power output calculation
According to the actual running condition of the thermal power generating unit, the constraint output calculation mode of the special heat supply unit is different from the constraint output calculation mode of the non-heat supply unit. The constraint output initial value of the special heat supply unit is the maximum value of the minimum technical output reported by the unit and the minimum technical output in the model; constraint output of non-heating unit: taking the lowest technical output in the model in the noon period; the minimum technical output reported by the unit and the maximum value of the minimum technical output in the model are obtained from the initial minimum technical output in other periods, and besides the initial minimum technical output, the long-term minimum technical output in the thermal power unit can also be modified manually.
3. Power generation space calculation
In order to ensure that the sum of the thermal power and the long-term settlement curves in the new energy power plant at each moment of the operation day does not exceed the long-term admitting space in the thermal power and the new energy at the moment, the calculation of the power generation space is required. Carrying out power generation space calculation according to the power generation priority, firstly, ensuring the lowest technical output of a thermal power unit according to unit combination, secondly, ensuring the power generation of the anti-poverty privileged, self-provided and network-reserved power plants, and thirdly, ensuring the consumption of new energy sources; finally, the conventional thermal power generation is arranged in the residual digestion space.
The calculation modes of various power generation spaces are as follows:
(1) Full-network power generation space= (system load prediction+tie line outgoing) ×average plant power consumption;
(2) Hydroelectric generation space = sum of hydroelectric settlement curves;
(3) Thermal power minimum technology power generation space = min (total grid power generation space-hydroelectric power generation space, power-on thermal power unit constraint output conversion plant power consumption sum);
(4) Lean, privileged power generation space = lean and privileged power plant calculates power generation space using the predicted value;
(5) Power generation space of self-contained power plant and network-reserved power plant = power generation space calculated by self-contained power plant and network-reserved power plant using fixed output;
(6) New energy and conventional thermal power generation space = full grid power generation space-hydroelectric power generation space-thermal power minimum technology power generation space-barren franchise power generation space-self-contained power plant and grid-reserve power plant power generation space.
4. Medium and long term declaration of thermal power and new energy
And the main body of the thermal power and new energy market performs electric quantity and curve declaration within the declaration allowable time.
The thermal power generating unit declares the right electric quantity of the day, and a declaration curve is generated by considering the start and stop of the unit, the long-term minimum technical output and a thermal power typical curve in the unit. If Q Declaration of >Q Minimum of （Q Minimum of Constraint of total electric quantity for thermal power generating unit, Q Declaration of The total daily electric quantity reported by the thermal power generating unit), generating a part above the calculated electric quantity (considering the start and stop of the unit) of the reported electric quantity exceeding the constraint output according to a thermal power typical curve, and adding the constraint output at the corresponding moment as a reporting curve. If Q Declaration of <Q Minimum of : and generating a reporting curve by reporting the reporting electric quantity according to the number average reporting electric quantity at the starting time.
And the reporting limit value condition is that the reporting power cannot exceed the installed capacity at each moment, and the total reporting power cannot exceed the monthly residual power.
5. Middle-long term checking calculation
And carrying out total amount verification according to the whole day curves of the new energy and the medium-long term receiving space of the conventional thermal power unit and the medium-long term curves declared by the new energy power plant and the thermal power unit, and ensuring that the sum of the medium-long term settlement curves of each power plant at each moment in the operation day does not exceed the new energy and the conventional medium-long term receiving space of the thermal power unit at the moment.
The check logic is as follows:
if the total amount to be subtracted is < =0 and the checking is not needed, the reporting curve is directly used as a checked curve, and the checking is finished;
if the total amount to be subtracted is < = the thermal power reducible amount, only the thermal power is eliminated;
if the total amount to be subtracted is greater than the thermal power reducible amount, the thermal power reducible amount is totally subtracted to 0; the remainder cuts down new energy Shen Baoliang.
Wherein: total amount to be subtracted = new energy and total declaration of thermal power-total power generation space of new energy and thermal power; thermal power removable amount = Σ removable amount per unit, removable amount = declaration amount-minimum technical output if Shen Baoliang > minimum technical output, removable amount = 0 if Shen Baoliang < minimum technical output; new energy reducible = new energy declaration total.
In order to ensure that all the required reduction quantity is checked, two rounds of reduction are executed, wherein the first round of reduction is carried out according to the proportion of the completion rate, and the second round of reduction is carried out according to the proportion of the residual quantity after the previous round of reduction.
Thermal power check electric power = thermal power total declaration-thermal power abatement amount.
New energy check power = new energy remaining after subtraction.
6. Middle-long term checking result release
After the middle-long term checking result is confirmed to be correct, the middle-long term checking curve of the power generation enterprises on the operation day is shown.
A flexible mid-to-long term transaction verification system for an electric power market, the system comprising:
the calculation module: the method is used for calculating and obtaining a whole-network power generation space;
a first generation module: the method comprises the steps of generating a declaration curve of a thermal power unit according to the middle and long-term residual electric quantity of the month and a thermal power generation space;
and a second generation module: the method comprises the steps of generating a declaration curve of a new energy power plant according to the middle and long-term residual electric quantity in the month and the operation day new energy predicted value;
and (3) checking a module: the method is used for checking declaration curves of the thermal power unit and the new energy power plant according to declaration proportion, monthly complete electric quantity, constraint conditions and full-network power generation space.
A flexible mid-to-long term transaction verification system for an electric power market, the system comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate according to the instructions to perform the steps of the method described above.
A computer readable storage medium having stored thereon a computer program which when executed by a processor realizes the steps of the method described above.
According to the application, the power generation space is calculated according to the power generation priority, so that the consumption of water and electricity and new energy sources is preferentially ensured, the power check is performed by comprehensively considering the reporting proportion of the power plants and the monthly electric quantity completion condition, and the sum of the long-term check curves in each power plant at each moment of the operation day is ensured not to exceed the long-term power generation space in the whole network at the moment. The method considers the flexibility of the main market declaration and ensures the rationality of medium-term and long-term checking.
And the thermal power market member reports the daily gain electric quantity according to the middle-long month transaction electric quantity issued by the transaction center and aiming at the affiliated unit, and the transaction system generates a middle-long term reporting curve of each thermal power unit according to the all-day curve of the thermal power generation space of the current day. And the new energy power plant automatically generates a medium-and-long-term curve according to the predicted value and the monthly residual electric quantity. The sum of all thermal power and new energy all-day reporting curves possibly exceeds the consumption space of the current thermal power and the new energy, and the reporting curves of the thermal power and the new energy are required to be reduced so as to ensure that the sum of the long-term checking curves in each moment of the operation day does not exceed the long-term power generation space in the whole network at the moment.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present application and not for limiting the same, and although the present application has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the application without departing from the spirit and scope of the application, which is intended to be covered by the claims.
Claims (6)
1. A flexible mid-to-long term transaction verification method for an electric power market, the method comprising:
calculating to obtain a whole-network power generation space;
generating a declaration curve of the thermal power generating unit according to the middle and long-term residual electric quantity of the month and the thermal power generating space;
generating a declaration curve of the new energy power plant according to the middle and long-term residual electric quantity in the month and the running day new energy predicted value;
checking declaration curves of the thermal power unit and the new energy power plant according to declaration proportion, monthly complete electric quantity, constraint conditions and full-network power generation space;
the constraint conditions include:
the upper limit of the checking result is the installed capacity of the checking unit when checking the declaration curve of the thermal power unit, and the lower limit of the checking result is the lowest technical output of the checking unit;
the sum of the medium-long term checking curves of each station in the operation day does not exceed the medium-long term total absorption space of thermal power and new energy at the corresponding moment; the whole-network power generation space comprises a hydroelectric power generation space, a constraint thermal power generation space, a power generation space of a power plant with the right of barren franchise, a power generation space of a self-contained and network-reserved power plant, a new energy power generation space and a power generation space of conventional thermal power;
the hydropower generation space is equal to the sum of hydropower settlement curves;
the power generation space of the barren and privileged power plant is equal to the space for generating power by calculating the predicted value of the barren and privileged power plant;
the self-contained and network-reserved power plants have a power generation space equal to that calculated by the self-contained power plants and the network-reserved power plants by using fixed output.
2. The flexible power market mid-to-long term transaction verification method of claim 1 wherein said declaration curve is verified as follows:
checking a declaration curve of the thermal power generating unit according to declaration proportion and month completion electric quantity;
after the verification of the thermal power unit declaration curve is completed, judging whether the sum of the thermal power unit checked curve and the new energy power plant declaration curve exceeds the whole-network power generation space, and if so, checking the new energy power plant declaration curve.
3. A flexible mid-long term transaction verification method in an electric power market according to claim 1 wherein the full grid power generation space is calculated based on system load predictions and tie-line delivery plans.
4. A flexible mid-to-long term transaction verification system for an electric power market, the system comprising:
the calculation module: the method is used for calculating and obtaining a whole-network power generation space;
a first generation module: the method comprises the steps of generating a declaration curve of a thermal power unit according to the middle and long-term residual electric quantity of the month and a thermal power generation space;
and a second generation module: the method comprises the steps of generating a declaration curve of a new energy power plant according to the middle and long-term residual electric quantity in the month and the operation day new energy predicted value;
and (3) checking a module: the method is used for checking declaration curves of the thermal power unit and the new energy power plant according to declaration proportion, monthly complete electric quantity, constraint conditions and full-network power generation space;
the constraint conditions include:
the upper limit of the checking result is the installed capacity of the checking unit when checking the declaration curve of the thermal power unit, and the lower limit of the checking result is the lowest technical output of the checking unit;
the sum of the medium-long term checking curves of each station in the operation day does not exceed the medium-long term total absorption space of thermal power and new energy at the corresponding moment; the whole-network power generation space comprises a hydroelectric power generation space, a constraint thermal power generation space, a power generation space of a power plant with the right of barren franchise, a power generation space of a self-contained and network-reserved power plant, a new energy power generation space and a power generation space of conventional thermal power;
the hydropower generation space is equal to the sum of hydropower settlement curves;
the power generation space of the barren and privileged power plant is equal to the space for generating power by calculating the predicted value of the barren and privileged power plant;
the self-contained and network-reserved power plants have a power generation space equal to that calculated by the self-contained power plants and the network-reserved power plants by using fixed output.
5. A flexible mid-to-long term transaction verification system for an electric power market, the system comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor being operative according to the instructions to perform the steps of the method according to any one of claims 1-3.
6. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the method according to any of claims 1-3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010248186.8A CN111538952B (en) | 2020-04-01 | 2020-04-01 | Flexible medium-long term transaction checking method for electric power market |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010248186.8A CN111538952B (en) | 2020-04-01 | 2020-04-01 | Flexible medium-long term transaction checking method for electric power market |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111538952A CN111538952A (en) | 2020-08-14 |
| CN111538952B true CN111538952B (en) | 2023-10-03 |
Family
ID=71976851
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010248186.8A Active CN111538952B (en) | 2020-04-01 | 2020-04-01 | Flexible medium-long term transaction checking method for electric power market |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111538952B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109978233A (en) * | 2019-02-20 | 2019-07-05 | 中国电力科学研究院有限公司 | The Optimization Scheduling a few days ago and system of long-term electricity trade contract in a kind of consideration |
| CN110517164A (en) * | 2019-08-19 | 2019-11-29 | 国网山西省电力公司 | The generation schedulecurve of long-term contract decomposes and settlement method and system in consideration |
| CN110598952A (en) * | 2019-09-23 | 2019-12-20 | 广西电网有限责任公司 | Medium-and-long-term electric power market safety checking and model establishing method and equipment |
| CN110866646A (en) * | 2019-11-18 | 2020-03-06 | 国家电网公司西北分部 | Electric power system safety check method and safety check device |
-
2020
- 2020-04-01 CN CN202010248186.8A patent/CN111538952B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109978233A (en) * | 2019-02-20 | 2019-07-05 | 中国电力科学研究院有限公司 | The Optimization Scheduling a few days ago and system of long-term electricity trade contract in a kind of consideration |
| CN110517164A (en) * | 2019-08-19 | 2019-11-29 | 国网山西省电力公司 | The generation schedulecurve of long-term contract decomposes and settlement method and system in consideration |
| CN110598952A (en) * | 2019-09-23 | 2019-12-20 | 广西电网有限责任公司 | Medium-and-long-term electric power market safety checking and model establishing method and equipment |
| CN110866646A (en) * | 2019-11-18 | 2020-03-06 | 国家电网公司西北分部 | Electric power system safety check method and safety check device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111538952A (en) | 2020-08-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Yan et al. | Low-carbon economic dispatch method for integrated energy system considering seasonal carbon flow dynamic balance | |
| Pritchard et al. | A single-settlement, energy-only electric power market for unpredictable and intermittent participants | |
| Dabbagh et al. | Risk assessment of virtual power plants offering in energy and reserve markets | |
| Wu et al. | Thermal generation flexibility with ramping costs and hourly demand response in stochastic security-constrained scheduling of variable energy sources | |
| Wu et al. | GENCO's risk-based maintenance outage scheduling | |
| Wang et al. | Coordination of generation maintenance scheduling in electricity markets | |
| CN110535183B (en) | Scheduling method and system of virtual power plant | |
| Voumvoulakis et al. | Large scale integration of intermittent renewable energy sources in the Greek power sector | |
| Wang et al. | Optimizing probabilistic spinning reserve by an umbrella contingencies constrained unit commitment | |
| KR102592162B1 (en) | Method for controlling the exchange of energy between energy sub-systems under coordinated and harmonized conditions; control center; energy system; computer program; and storage medium | |
| Ntomaris et al. | Optimal bidding of hybrid power stations in insular power systems | |
| Li et al. | BC Hydro's transmission reliability margin assessment in total transfer capability calculations | |
| CN111538952B (en) | Flexible medium-long term transaction checking method for electric power market | |
| CN117040027B (en) | Coordination optimization method and device for rural virtual power plant | |
| Duncan et al. | Optimal hydrothermal coordination for multiple reservoir river systems | |
| Li et al. | Energy transition roadmap towards net-zero communities: A case study in Japan | |
| Ummels et al. | System integration of large-scale wind power in the Netherlands | |
| Bernal-Rubiano et al. | Mathematical uncertainty cost functions for controllable photo-voltaic generators considering uniform distributions | |
| KR100455565B1 (en) | Electric Power Demand and Supply System And Predicting Method thereof | |
| CN110994701A (en) | Method, device, equipment and storage medium for testing simultaneous feasibility of financial power transmission rights | |
| CN110570037A (en) | Power plant medium and long term limit transaction electric quantity optimization method and system based on SCUC | |
| Hidalgo González et al. | Dispa-SET 2.0: unit commitment and power dispatch model | |
| Casaravilla et al. | Planning of generation investments with risks of severe infrequent events | |
| Fan et al. | Medium and long-term electricity trading considering renewable energy participation | |
| CN114841454A (en) | Multi-time scale intelligent energy station cooperative operation control method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |