CN111784205A - Electric power wholesale market mode assessment and risk analysis method, device and system - Google Patents
Electric power wholesale market mode assessment and risk analysis method, device and system Download PDFInfo
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Abstract
The invention discloses a power wholesale market mode assessment and risk analysis system, which comprises: the operation scene generation module is used for inputting power grid operation data on the basis of the established power grid topology model so as to generate an operation scene of the simulation system; the market setting module is used for setting a market model; the market simulation module is used for calling a clearing algorithm and carrying out clearing operation based on a set power grid topological model and a market model after a simulation supply side and a simulation demand side are set; the risk simulation module is used for simulating a risk scene by changing the boundary condition of the simulated clearance and carrying out clearance calculation again in the risk scene; and the evaluation analysis module is used for analyzing and evaluating according to preset standards according to the operation scene data, the power grid operation data and the clearing result of the risk scene. The method can simulate the actual power market operation scene more truly, and provides more accurate analysis data by combining market simulation and analysis evaluation.
Description
Technical Field
The invention relates to the technical field of power systems, in particular to a method, a device and a system for power wholesale market mode assessment and risk analysis.
Background
With the deepening of market reformation of the power industry and the expansion of market scale, the complexity of power market operation and uncertainty of market operation results are increased. In order to solve the potential risk in the stage of scheme design and rule making, prediction and evaluation are needed to be carried out on the risk which may appear in the power system and the power market, and the prediction and evaluation result can provide powerful technical support for promoting the healthy operation of the power market and the next operation development of a company.
At present, the existing domestic simulation platforms comprise a southeast university PMSTs, a Guangdong trading center electric power market simulation platform, a Zhejiang electric power market simulation platform and the like. Although the platforms all have basic electric power market simulation functions, for simulation and simulation of processes such as electric power market operation clearing, the systems lack a market simulation evaluation link, do not form a systematic and comprehensive electric power market risk analysis and management mechanism, do not have a corresponding market operation evaluation system, and cannot comprehensively support effective development of market risk prevention and control services.
With the advance of the reform process of the electric power spot market in China, market rules are more complex, and various risks such as power price, credit, market power and faults and line blockage possibly occurring in the actual operation of an electric power system are considered in the actual operation process of the electric power market, so that an electric power company needs to explore and evaluate different market modes, and comprehensively model based on the actual operation scene to prejudge landing risks.
Disclosure of Invention
Aiming at the technical problems, the invention provides a method, a device and a system for evaluating the power wholesale market mode and analyzing the risk, which can simulate the actual power market operation scene more truly and provide more accurate analysis data by combining market simulation and analysis evaluation. The technical scheme is as follows:
in a first aspect, an embodiment of the present invention provides a power wholesale market pattern assessment and risk analysis system, including:
the operation scene generation module is used for inputting power grid operation data on the basis of the established power grid topology model so as to generate an operation scene of the simulation system;
the market setting module is used for setting a market model; generating market rules simulating market operation by setting an order of trading varieties including a volume market, a medium-long term market, a spot market and an auxiliary service market;
the market simulation module is used for calling a clearing algorithm and carrying out clearing operation based on a set power grid topological model and a market model after a simulation supply side and a simulation demand side are set;
the risk simulation module is used for simulating a risk scene by changing the boundary condition of the simulated clearance and carrying out clearance calculation again in the risk scene;
and the evaluation analysis module is used for analyzing and evaluating according to preset standards according to the operation scene data, the power grid operation data and the clearing result of the risk scene.
In a first possible implementation manner of the first aspect of the present invention, the system for electric wholesale market pattern assessment and risk analysis further includes:
and the power grid model creating module is used for acquiring the physical parameters of the power grid equipment and simulating a power grid topological model of the power grid equipment, which is associated with each other, based on the physical parameters of the power grid equipment.
In a second possible implementation manner of the first aspect of the present invention, the power grid model creating module is further configured to configure relevant parameters of the power grid device in a customized manner to construct a power grid topology model, and output the power grid topology model to be transferred to the storage space.
In a third possible implementation manner of the first aspect of the present invention, the power grid model creation module is further configured to input an established power grid topology model.
In a fourth possible implementation manner of the first aspect of the present invention, the market simulation module is further configured to check a clearing result; the clearing result comprises a fixed load or an elastic load of the system, positive and negative standby indexes of the system, power and price of each time interval of each power grid partition or node, bid winning conditions, benefits and expenses of each unit and user, and power of each time interval of each line and section.
In a second aspect, an embodiment of the present invention provides a method for electric wholesale market pattern assessment and risk analysis, including:
inputting power grid operation data to configure a power grid topology model;
setting a market model to generate market rules for simulating market operation;
calling a clearing algorithm and carrying out clearing operation based on the power grid topology model and the market model;
simulating a risk scene by changing the boundary condition of the simulated clearance based on the clearance calculation result, and performing clearance calculation again in the risk scene;
and analyzing and evaluating according to preset standards according to the operation scene data, the power grid operation data and the clearing result of the risk scene.
In a first possible implementation manner of the second aspect of the present invention, the method for evaluating the wholesale market pattern of electric power and analyzing the risk further includes:
acquiring physical parameters of the power grid equipment, and simulating a power grid topological model of the mutual association of the power grid equipment based on the physical parameters of the power grid equipment.
In a second possible implementation manner of the second aspect of the present invention, the inputting of the grid operation data configures a grid topology model, specifically:
and inputting power grid operation data on the basis of the power grid topology model to generate an operation scene of the simulation system.
In a third possible implementation manner of the second aspect of the present invention, the setting a market model to generate a market rule simulating market operation specifically includes:
market rules that simulate market operations are generated by setting the order of traded varieties including capacity markets, medium and long term markets, spot markets, and assisted services markets.
In a third aspect, an embodiment of the present invention provides an electric power wholesale market mode assessment and risk analysis apparatus, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor implements the electric power wholesale market mode assessment and risk analysis method as described above when executing the computer program.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the invention provides a method, a device and a system for evaluating an electric power wholesale market mode and analyzing risks, wherein the electric power wholesale market mode evaluating and risk analyzing system configures electric network operation data for an electric network topology model through an operation scene to serve as a boundary condition for market simulation operation; a market setting module configures a market model as market rules and market organization information of market simulation operation; and the market simulation module executes clearing operation to simulate market clearing, so that scientific and detailed quantitative analysis is performed on various rules, market modes, power supervision and the like according to the simulated clearing result. On the basis, the risk simulation module is used for simulating the risk events possibly occurring in the real scene or simulating multiple market modes, and the evaluation analysis module is used for generating the analysis evaluation report, so that the real power market operation scene can be simulated more truly, and more accurate analysis data can be provided by combining the market simulation and the analysis evaluation. Compared with other simulation systems, the system can evaluate and analyze the modes of market mode selection and risk prediction requirements, and provides reasonable reference basis for market mode selection and rule making.
Drawings
Fig. 1 is a block diagram of an architecture of a power wholesale market model evaluation and risk analysis system according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating steps of a method for wholesale market model assessment and risk analysis of power according to an embodiment of the present invention;
fig. 3 is a flowchart of steps of a method for electric wholesale market pattern assessment and risk analysis according to an embodiment of the present invention, including creating a power grid model.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an exemplary embodiment of a system for electric wholesale market pattern assessment and risk analysis according to the present invention includes:
the power grid model creating module 001 is used for acquiring physical parameters of power grid equipment and simulating a power grid topological model of the power grid equipment, wherein the power grid topological model is related to the power grid equipment;
the physical parameters of the power grid equipment at least comprise equipment parameters of a unit, a bus, a transformer, a power plant, a tie line and a transformer substation. The physical parameters of the power grid equipment also comprise parameters such as machine group, load, balance machine group, set machine, network access point and the like.
It can be understood that, in order to facilitate data exchange and data backup and research and analysis of real power grid topology, data imported into a real power grid system is extracted and converted to form a power grid model which can be viewed and edited by a simulation system. The alternating current line and the bus are equipment elements, and the control area is a label of the equipment elements; in the power grid topology model, a plurality of plant stations (power plants and substations) can be arranged under each control area, and a plurality of buses can be arranged under each plant station; the plant elements form a grid topology in an interrelated manner, and no isolated grid elements are present.
In this embodiment, the power grid topology model of the power wholesale market mode evaluation and risk analysis system is displayed on the data structures of the front-end page and the rear-end page, and based on the classification of the CIME file on the power grid equipment, more classifications and parameters are added.
The invention provides a preferred embodiment, and the power grid model creating module is further used for inputting the built power grid topology model.
The invention provides a preferred embodiment, and the power grid model creation module is further configured to configure relevant parameters of the power grid equipment in a customized manner to construct a power grid topology model, and output the power grid topology model to be transferred to the storage space.
In this embodiment, the CIME file only includes physical parameters of the power grid device, but in the power grid model of the simulation system, besides acquiring physical parameters of the power grid device, the self-defined configuration may be performed on relevant parameters of the power grid device.
And the operation scene generation module 101 is configured to input power grid operation data on the basis of the power grid topology model to generate an operation scene of the simulation system.
It can be understood that the operation scene of the simulation system needs to set the power grid operation data of each time period in the operation scene based on the power grid model, and the operation scene is similar to the boundary condition in the actual market organization.
The power grid operation data is divided into three main categories: power grid prediction, power grid plan and power grid constraint. The prediction data comprises system load prediction, bus load prediction and new energy output prediction, the plan data comprises a unit, a power transmission and transformation overhaul plan and a connecting line plan, and the constraint data comprises unit state constraint, unit power and electricity constraint, power plant power and electricity constraint, section transmission limit constraint, system operation constraint and the like.
Specifically, the power grid prediction type power grid operation data comprises data items such as day-ahead load prediction and ultra-short-term load prediction;
the power grid planning type power grid operation data comprises tie line power planning data: data items such as a daily planned flow of a tie line, an ultra-short term flow of the tie line and the like; the unit maintenance plan and the power transmission and transformation maintenance plan are as follows: data items such as overhaul start time, overhaul end time, overhaul type and the like;
the power grid constraint type power grid operation data comprises unit state constraint: specifying data items such as states and making active output values; and (3) unit electric power and electric quantity constraint: data items such as maximum active output, minimum active output, maximum electric quantity, minimum electric quantity and the like; power plant electric power and electric quantity constraint: data items such as maximum output, minimum output, maximum electric quantity, minimum electric quantity and the like; and (3) section transmission limit constraint: data items such as a forward limit and a reverse limit; and (4) system operation constraint: positive spare capacity lower limit, negative spare capacity lower limit, frequency modulation capacity lower limit and other data items.
A market setting module 102 for setting a market model; generating market rules simulating market operation by setting an order of trading varieties including a volume market, a medium-long term market, a spot market and an auxiliary service market;
it will be appreciated that the above-described,
the capacity market refers to that in a capacity market trading variety, a unit type can be selected, corresponding capacity requirements can be configured according to different unit types, and the capacity requirements are set according to the proportion of peak loads of an operation scene; the risk of market trading can be adjusted by modifying the upper line limit of the declared price.
The medium-long term market refers to the medium-long term market comprising parameters such as trading period, trading mode, delivery mode, trading target, decomposition curve and declaration limit. The trade period can be set as year, month or week, the trade mode can be set as any one of bilateral negotiation, continuous listing, centralized matching and centralized competition, the delivery mode can be set as differential settlement or physical delivery, the trade target can be set as market electric quantity or base electric quantity, the decomposition curve can be configured with electric quantity decomposition weight of year, month, day or day, and the declaration limit can be set as the trade quantity and declaration price upper limit of the market main body.
The spot market refers to parameters including user declaration setting, unit declaration setting, output quotation curve segment number, elastic demand curve segment number, day-ahead clearing basis, power generation settlement price, electricity purchase settlement price, price upper limit and the like.
The auxiliary service market means that the auxiliary service market can be subdivided into a frequency modulation service market and a standby market. The settable parameters include reporting volume online and reporting price online.
The present invention provides a preferred embodiment, the market setting module is configured to select an existing market model as the market rule for the simulated market.
It can be understood that the market model is a standardized and abstracted electric power market rule, so the module can be set with a centralized type and a distributed type from a market mode, and can be set with transaction varieties with different time dimensions and different transaction targets and corresponding clearing parameters to form a clearing model and a price mechanism model.
The market simulation module 103 is used for calling a clearing algorithm and carrying out clearing operation based on a set power grid topology model and a market model after a simulation supply side and a simulation demand side are set;
the invention provides a preferred embodiment, the market simulation module is also used for checking the clearing result; the clearing result comprises a fixed load or an elastic load of the system, positive and negative standby indexes of the system, power and price of each time interval of each power grid partition or node, bid winning conditions, benefits and expenses of each unit and user, and power of each time interval of each line and section.
The risk simulation module 104 is used for simulating a risk scene by changing the boundary condition of the simulated clearance and performing clearance calculation again in the risk scene;
it should be noted that, the case that the risk simulation module has cleared is used as a benchmark, a plurality of risk factors and corresponding probabilities are set, and the risk factor combination of the operation scene is increased according to the risk factors and the probabilities to construct a risk scene.
And carrying out clearing operation again by utilizing the market clearing module so as to carry out statistical analysis on the market operation result considering each risk scene, and finally obtaining the influence of different risk scenes on the market operation condition and the market main body income and expenditure.
The risk scenes have seven kinds of settable risk events, which are divided into two main categories: the first type is system operation risks, including risk events such as line unplanned outage, tie line prediction deviation, new energy prediction deviation, load prediction deviation, branch unplanned outage and the like; the second category is market operation risks, including risk events such as unit spot declaration, medium and long term contract proportion and the like. In the clearing calculation, calculation setting is carried out according to the set risk combination, and parameters such as calculation time limit, calculation precision, penalty factors, clearing times and the like can be set.
The invention provides a preferred embodiment, wherein the risk simulation module is further configured to display results of statistical analysis of all risks, and the results include thirteen indexes:
market operation analysis: the method comprises the indexes of blocking surplus (only centralized), whole-network weighted electricity price, highest node electricity price, lowest node electricity price, comprehensive electricity generation price (medium and long term + spot goods), comprehensive electricity utilization price (medium and long term + spot goods) and the like;
and (3) system operation analysis: the method comprises the indexes of minimum startup supply-demand ratio, branch heavy load number, section heavy load number, blocking number, system balance and the like;
market subject analysis: including the indexes of the electric income, the utilization hours, the electric charge and the like.
And the evaluation analysis module 105 is used for analyzing and evaluating according to preset standards according to the operation scene data, the power grid operation data and the clearing result of the risk scene.
The evaluation mainly comprises the following steps of performing index evaluation and summary evaluation on market schemes from the aspects of fairness, safety, economy and environmental protection:
safety: the safety analysis is divided into power system safety, market transaction safety and market operation safety. The indexes of the safety of the power system comprise capacity spare rate, transmission line utilization rate and key transmission line blockage occurrence rate; the indexes of market transaction safety include low quotation proportion, high price declaration rate and unit declaration capacity holding rate; the indexes of market operation safety include market trade supply and demand balance index and price fluctuation rate.
The economic efficiency is as follows: the economic analysis indexes comprise the proportion of electric quantity participating in market transaction to total electric energy production, the proportion of a bidding unit to a coordinating unit, the proportion of market optimization electric quantity to total electric energy production, electric generation income Top-m, minimum user expenditure Top-m, market electricity price and electric generation cost correlation and market electricity price and load demand correlation.
Fairness: including HHI index, HHI index of peak and valley, Top-m index, RSI index, MRR index. Wherein, HHI index refers to the square sum of market share of each power generation company, and reflects the competitive sufficiency of the power generation market. The HHI index of the peak and the valley is the HHI index corresponding to the market share calculated based on the group transaction electric quantity in the daily valley or peak time of the market. The index describes the market share concentration situation in the extreme case of market operation. The Top-m index refers to the market share occupied by the largest m power generation companies in the market, and reflects the concentration degree of the market. The RSI index (remaining supply rate) is the sum of market shares of other power generation companies than a certain power generation company in a certain period of time in the power market, and reflects the market price control ability of the market supplier. The MRR index (required operation rate) is the proportion of the power that the unit must generate in order to meet the system load demand in a certain period of time to the amount of power that it can generate.
Environmental protection property: the method comprises the steps of clean energy grid-connected electric quantity and environmental index statistics.
Referring to fig. 2, an exemplary embodiment of a method for electric wholesale market pattern assessment and risk analysis according to the present invention includes:
s101, inputting power grid operation data to configure a power grid topology model;
s102, setting a market model to generate a market rule for simulating market operation;
s103, calling a clearing algorithm and carrying out clearing operation based on the power grid topology model and the market model;
s104, simulating a risk scene by changing the boundary condition of the simulated clearance based on the clearance calculation result, and performing clearance calculation again in the risk scene;
and S105, analyzing according to the operation scene data, the power grid operation data and the clearing result of the risk scene, and evaluating according to a preset standard.
The input power grid operation data is used for configuring a power grid topology model, and specifically comprises the following steps:
and inputting power grid operation data on the basis of the power grid topology model to generate an operation scene of the simulation system.
It can be understood that the operation scene of the simulation system needs to set the power grid operation data of each time period in the operation scene based on the power grid model, and the operation scene is similar to the boundary condition in the actual market organization.
The power grid operation data is divided into three main categories: power grid prediction, power grid plan and power grid constraint. The prediction data comprises system load prediction, bus load prediction and new energy output prediction, the plan data comprises a unit, a power transmission and transformation overhaul plan and a connecting line plan, and the constraint data comprises unit state constraint, unit power and electricity constraint, power plant power and electricity constraint, section transmission limit constraint, system operation constraint and the like.
Specifically, the power grid prediction type power grid operation data comprises data items such as day-ahead load prediction and ultra-short-term load prediction;
the power grid planning type power grid operation data comprises tie line power planning data: data items such as a daily planned flow of a tie line, an ultra-short term flow of the tie line and the like; the unit maintenance plan and the power transmission and transformation maintenance plan are as follows: data items such as overhaul start time, overhaul end time, overhaul type and the like;
the power grid constraint type power grid operation data comprises unit state constraint: specifying data items such as states and making active output values; and (3) unit electric power and electric quantity constraint: data items such as maximum active output, minimum active output, maximum electric quantity, minimum electric quantity and the like; power plant electric power and electric quantity constraint: data items such as maximum output, minimum output, maximum electric quantity, minimum electric quantity and the like; and (3) section transmission limit constraint: data items such as a forward limit and a reverse limit; and (4) system operation constraint: positive spare capacity lower limit, negative spare capacity lower limit, frequency modulation capacity lower limit and other data items.
The setting of the market model to generate the market rules for simulating market operation specifically comprises:
market rules that simulate market operations are generated by setting the order of traded varieties including capacity markets, medium and long term markets, spot markets, and assisted services markets.
It will be appreciated that the above-described,
the capacity market refers to that in a capacity market trading variety, a unit type can be selected, corresponding capacity requirements can be configured according to different unit types, and the capacity requirements are set according to the proportion of peak loads of an operation scene; the risk of market trading can be adjusted by modifying the upper line limit of the declared price.
The medium-long term market refers to the medium-long term market comprising parameters such as trading period, trading mode, delivery mode, trading target, decomposition curve and declaration limit. The trade period can be set as year, month or week, the trade mode can be set as any one of bilateral negotiation, continuous listing, centralized matching and centralized competition, the delivery mode can be set as differential settlement or physical delivery, the trade target can be set as market electric quantity or base electric quantity, the decomposition curve can be configured with electric quantity decomposition weight of year, month, day or day, and the declaration limit can be set as the trade quantity and declaration price upper limit of the market main body.
The spot market refers to parameters including user declaration setting, unit declaration setting, output quotation curve segment number, elastic demand curve segment number, day-ahead clearing basis, power generation settlement price, electricity purchase settlement price, price upper limit and the like.
The auxiliary service market means that the auxiliary service market can be subdivided into a frequency modulation service market and a standby market. The settable parameters include reporting volume online and reporting price online.
Referring to fig. 3, the method for electric wholesale market pattern assessment and risk analysis further includes:
acquiring physical parameters of power grid equipment, and simulating a power grid topological model of each power grid equipment, wherein the power grid topological model is associated with each power grid equipment;
the physical parameters of the power grid equipment at least comprise equipment parameters of a unit, a bus, a transformer, a power plant, a tie line and a transformer substation. The physical parameters of the power grid equipment also comprise parameters such as machine group, load, balance machine group, set machine, network access point and the like.
It can be understood that, in order to facilitate data exchange and data backup and research and analysis of real power grid topology, data imported into a real power grid system is extracted and converted to form a power grid model which can be viewed and edited by a simulation system. The alternating current line and the bus are equipment elements, and the control area is a label of the equipment elements; in the power grid topology model, a plurality of plant stations (power plants and substations) can be arranged under each control area, and a plurality of buses can be arranged under each plant station; the plant elements form a grid topology in an interrelated manner, and no isolated grid elements are present.
In this embodiment, the power grid topology model of the power wholesale market mode evaluation and risk analysis system is displayed on the data structures of the front-end page and the rear-end page, and based on the classification of the CIME file on the power grid equipment, more classifications and parameters are added.
The electric power wholesale market mode assessment and risk analysis method further comprises the following steps:
inputting the established power grid topology model; and the number of the first and second groups,
and (4) custom configuring relevant parameters of the power grid equipment to construct a power grid topological model, and outputting the power grid topological model to be stored in a storage space.
The electric power wholesale market mode assessment and risk analysis method further comprises the following steps:
checking a clearing result, wherein the clearing result comprises a system fixed load or an elastic load and a system positive/negative standby index; power and price per period for each grid partition or node; bid winning conditions and earnings/expenses of each unit and user; and power and other indexes of each line/section in each period.
The electric power wholesale market mode assessment and risk analysis method further comprises the following steps:
and displaying results of statistical analysis on all risks, wherein the results comprise thirteen indexes:
market operation analysis: the method comprises the indexes of blocking surplus (only centralized), whole-network weighted electricity price, highest node electricity price, lowest node electricity price, comprehensive electricity generation price (medium and long term + spot goods), comprehensive electricity utilization price (medium and long term + spot goods) and the like;
and (3) system operation analysis: the method comprises the indexes of minimum startup supply-demand ratio, branch heavy load number, section heavy load number, blocking number, system balance and the like;
market subject analysis: including the indexes of the electric income, the utilization hours, the electric charge and the like.
The invention also provides an exemplary embodiment, an electric power wholesale market mode assessment and risk analysis device, which comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the electric power wholesale market mode assessment and risk analysis method when executing the computer program.
The invention provides a method, a device and a system for evaluating an electric power wholesale market mode and analyzing risks, wherein the electric power wholesale market mode evaluating and risk analyzing system configures electric network operation data for an electric network topology model through an operation scene to serve as a boundary condition for market simulation operation; a market setting module configures a market model as market rules and market organization information of market simulation operation; and the market simulation module executes clearing operation to simulate market clearing, so that scientific and detailed quantitative analysis is performed on various rules, market modes, power supervision and the like according to the simulated clearing result. On the basis, the risk simulation module is used for simulating the risk events possibly occurring in the real scene or simulating multiple market modes, and the evaluation analysis module is used for generating the analysis evaluation report, so that the real power market operation scene can be simulated more truly, and more accurate analysis data can be provided by combining the market simulation and the analysis evaluation. Compared with other simulation systems, the system can evaluate and analyze the modes of market mode selection and risk prediction requirements, and provides reasonable reference basis for market mode selection and rule making.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Claims (10)
1. A power wholesale market mode assessment and risk analysis system is characterized by comprising:
the operation scene generation module is used for inputting power grid operation data on the basis of the established power grid topology model so as to generate an operation scene of the simulation system;
the market setting module is used for setting a market model; generating market rules simulating market operation by setting an order of trading varieties including a volume market, a medium-long term market, a spot market and an auxiliary service market;
the market simulation module is used for calling a clearing algorithm and carrying out clearing operation based on a set power grid topological model and a market model after a simulation supply side and a simulation demand side are set;
the risk simulation module is used for simulating a risk scene by changing the boundary condition of the simulated clearance and carrying out clearance calculation again in the risk scene;
and the evaluation analysis module is used for analyzing and evaluating according to preset standards according to the operation scene data, the power grid operation data and the clearing result of the risk scene.
2. The electric wholesale market pattern assessment and risk analysis system according to claim 1, further comprising:
and the power grid model creating module is used for acquiring the physical parameters of the power grid equipment and simulating a power grid topological model of the power grid equipment, which is associated with each other, based on the physical parameters of the power grid equipment.
3. The electric power wholesale market mode assessment and risk analysis system according to claim 2, wherein the electric grid model creation module is further configured to custom configure relevant parameters of electric grid equipment to construct an electric grid topology model, and output the electric grid topology model for being transferred to a storage space.
4. The electric power wholesale market pattern assessment and risk analysis system according to claim 2, wherein the electric grid model creation module is further configured to input an established electric grid topology model.
5. The electric wholesale market pattern assessment and risk analysis system of claim 1, wherein the market simulation module is further configured to view a clearing result; the clearing result comprises a fixed load or an elastic load of the system, positive and negative standby indexes of the system, power and price of each time interval of each power grid partition or node, bid winning conditions, benefits and expenses of each unit and user, and power of each time interval of each line and section.
6. A power wholesale market mode assessment and risk analysis method is characterized by comprising the following steps:
inputting power grid operation data to configure a power grid topology model;
setting a market model to generate market rules for simulating market operation;
calling a clearing algorithm and carrying out clearing operation based on the power grid topology model and the market model;
simulating a risk scene by changing the boundary condition of the simulated clearance based on the clearance calculation result, and performing clearance calculation again in the risk scene;
and analyzing and evaluating according to preset standards according to the operation scene data, the power grid operation data and the clearing result of the risk scene.
7. The electric wholesale market pattern assessment and risk analysis method according to claim 6, further comprising:
acquiring physical parameters of the power grid equipment, and simulating a power grid topological model of the mutual association of the power grid equipment based on the physical parameters of the power grid equipment.
8. The method according to claim 7, wherein the input grid operation data configures a grid topology model, specifically:
and inputting power grid operation data on the basis of the power grid topology model to generate an operation scene of the simulation system.
9. The method according to claim 7, wherein the setting of the market model to generate the market rules for simulating market operations comprises:
market rules that simulate market operations are generated by setting the order of traded varieties including capacity markets, medium and long term markets, spot markets, and assisted services markets.
10. An electric wholesale market pattern assessment and risk analysis device, comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements the electric wholesale market pattern assessment and risk analysis method according to any one of claims 6 to 9.
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