CN110458607A - A kind of market clearing price analysis of Influential Factors system - Google Patents
A kind of market clearing price analysis of Influential Factors system Download PDFInfo
- Publication number
- CN110458607A CN110458607A CN201910666527.0A CN201910666527A CN110458607A CN 110458607 A CN110458607 A CN 110458607A CN 201910666527 A CN201910666527 A CN 201910666527A CN 110458607 A CN110458607 A CN 110458607A
- Authority
- CN
- China
- Prior art keywords
- module
- model
- electricity market
- analysis
- market
- 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.)
- Granted
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 205
- 230000005611 electricity Effects 0.000 claims abstract description 278
- 238000004088 simulation Methods 0.000 claims abstract description 167
- 238000003860 storage Methods 0.000 claims abstract description 70
- 230000004044 response Effects 0.000 claims abstract description 18
- 238000000034 method Methods 0.000 claims abstract description 16
- 230000006399 behavior Effects 0.000 claims description 97
- 230000002159 abnormal effect Effects 0.000 claims description 39
- 230000015572 biosynthetic process Effects 0.000 claims description 22
- 230000003993 interaction Effects 0.000 claims description 21
- 230000002452 interceptive effect Effects 0.000 claims description 16
- 238000013500 data storage Methods 0.000 claims description 12
- 230000005540 biological transmission Effects 0.000 claims description 11
- 230000008676 import Effects 0.000 claims description 8
- 238000012216 screening Methods 0.000 claims description 6
- 239000012141 concentrate Substances 0.000 claims description 3
- 230000000153 supplemental effect Effects 0.000 claims description 3
- 230000004888 barrier function Effects 0.000 claims description 2
- 230000006872 improvement Effects 0.000 description 11
- 230000004907 flux Effects 0.000 description 10
- 230000006870 function Effects 0.000 description 5
- 230000007774 longterm Effects 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 238000000556 factor analysis Methods 0.000 description 4
- 238000011017 operating method Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 210000004209 hair Anatomy 0.000 description 2
- 238000013178 mathematical model Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- KIUYPHAMDKDICO-WHFBIAKZSA-N Ala-Asp-Gly Chemical compound C[C@H](N)C(=O)N[C@@H](CC(O)=O)C(=O)NCC(O)=O KIUYPHAMDKDICO-WHFBIAKZSA-N 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000002146 bilateral effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
Classifications
-
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
-
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Finance (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Game Theory and Decision Science (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Tourism & Hospitality (AREA)
- Supply And Distribution Of Alternating Current (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of market clearing price analysis of Influential Factors systems, including server, electricity market model generator, electricity market software, Electricity Market Simulation setter, Electricity market analysis optimizer, failure to generate and conclude device, storage with analyzer, participant behavior and interact device and external information collector；Electricity market model generator constructs power market simulation model for emulating demand in response to user；Electricity Market Simulation setter, for emulating demand in response to user, and parameter setting and simulation setting are carried out to power market simulation model according to price analysis data, accident analysis demand, participant behavior data, model is generated to execute instruction and send it to electricity market software, it can effectively solve the problem for causing subjectivity strong using manual method, the objectivity and accuracy that analysis result can be effectively improved can effectively improve efficiency, save time, cost of labor.
Description
Technical field
The present invention relates to electricity market modelings to influence with market simulation technical field more particularly to a kind of market clearing price
Factor analysis system.
Background technique
The accuracy of current Electricity Price analysis of Influential Factors is larger for the experience dependence for analyzing personnel, due to
The analysis of the speciality of this kind of analysis method, influence factor is often subjective, can not find really to influence price sometimes
Factor.For another angle, the connection between ignoring Different Effects inducement is sometimes resulted in by the judgement of experience, then in turn
Make analysis result has much one-sidedness.From the perspective of analysis efficiency, the Influence Factors of Price analysis of electricity market is usually needed
It to be analyzed simultaneously from many aspects, if depending on experienced analysis personnel, need to put into a large amount of manpower and be directed to
Different hypothesis expansion simulations and analysis, in the case where analyzing the insufficient situation of personnel amount, the efficiency of analysis then be will be greatly reduced；If
The reason of influencing price is duration, it is likely that because quickly cannot analyze and correct, causes additional loss.Based on warp
The analysis tested does not require nothing more than analysis personnel and has operation of power networks experience, market operating experience, it is also necessary to have be familiar with various markets,
The quality of all kinds of newest rules of electricity market product.When meeting market development initial stage or having larger modification, it will usually in a short time
Promulgate a large amount of regular class files, only relying on organic memory, to be read, understood and grasped usual efficiency relatively low, is unfavorable for quick standard
Work is analyzed in true development.
Summary of the invention
The embodiment of the present invention provides a kind of market clearing price analysis of Influential Factors system, can effectively solve in the prior art
The problem for causing subjectivity strong using manual method analysis market clearing price factor, can effectively improve the objectivity of analysis result
And accuracy.
One embodiment of the invention provides a kind of market clearing price analysis of Influential Factors system, including server, electric power city
Field model generator, electricity market software, Electricity Market Simulation setter, Electricity market analysis optimizer, failure generate and divide
Parser, participant behavior conclude device, storage and interact device and external information collector；
The Electricity market analysis optimizer, the failure, which are generated, concludes device difference with analyzer, the participant behavior
With the Electricity Market Simulation setter, the electricity market software, the server, it is described storage with interact device, it is described outside
The connection of portion's information acquisition device；The electricity market model generator respectively with the Electricity Market Simulation setter, the service
Device, electricity market software connection；The server is soft with the Electricity Market Simulation setter, the electricity market respectively
Part, the storage are connect with interaction device；The electricity market software respectively with the Electricity Market Simulation setter, the storage
It is connect with interaction device；
The server obtains user and emulates demand and send it to the electric power city for interacting with user
Field model generator, the electricity market software, the Electricity Market Simulation setter, the Electricity market analysis optimizer,
The failure, which is generated, to be concluded device, the storage with analyzer, the participant behavior and interacts device；
The electricity market model generator constructs power market simulation mould for emulating demand in response to the user
Type；
The Electricity market analysis optimizer positions the reason of price exception, generates valence for judging price abnormal conditions
Case analysis data simultaneously send it to the Electricity Market Simulation setter；
The failure generates and analyzer, is used for simulating grid failure, analyzes the electric network fault to market clearing price
Accident analysis demand, and send it to the Electricity Market Simulation setter；
The participant behavior concludes device, for simulating the participant behavior under predetermined condition, generates participant behavior number
According to and send it to the Electricity Market Simulation setter；
The Electricity Market Simulation setter, for emulating demand in response to the user, and according to the countermeasure
Collection, the accident analysis demand, the participant behavior data carry out parameter setting and mould to the power market simulation model
It proposes and sets, generate model and execute instruction and send it to the electricity market software；
The electricity market software is used in response to user emulation demand, selection target electricity market software, in turn
The power market simulation model is imported into the target power market software, and carry out mould is executed instruction according to the model
It is quasi-, analog result is returned into the Electricity market analysis optimizer, the failure generates and returns with analyzer, the participant behavior
Receive device；
It is described to store and interact device, for store historical data, regular clause data and expertise data, and according to institute
It states user and emulates demand, handle the data interaction demand of inside and outside；
The external information collector, for acquiring external information.
As an improvement of the above scheme, the electricity market model generator includes target product analysis module, master mould
Solve read through model, new model generation module；
The input terminal of the target product analysis module is connect with the output end of the server, the target product analysis
The input terminal, described of the input terminal of the output end of module and the new model generation module, the Electricity Market Simulation setter
The input terminal of master mould solution read through model connects；The output end of the master mould solution read through model is defeated with the new model generation module
Enter end connection；The output end of the new model generation module is connect with the input terminal of the electricity market software；
The target product analysis module, for emulating the corresponding target simulation problem generation pair of demand according to the user
The model formation condition answered, and the model formation condition is sent to the master mould solution read through model and new model generation
Module；Wherein, the model formation condition includes element and parameter, model accuracy, element connection relationship and participant in the market's letter
Breath fills in demand；
The master mould solution read through model, for selecting its corresponding electric power system model according to the model formation condition,
And then the electric power system model is read, extract element list, relationship between elements list and component parameters list；
The new model generation module, for screening and being used for from the element list according to the model formation condition
The electric network element data of modeling screen the element connection relationship number of the electric network element data from the relationship between elements list
It is closed according to, the screening model accuracy data from the component parameters list, and then according to the other elements data that obtain in advance, connection
System and supplemental characteristic and the electric network element data, the element connection relationship data and the model accuracy data construct institute
Power market simulation model is stated, so that the power market simulation model is sent to the electricity market software, so that described
Target power market software imports the power market simulation model.
As an improvement of the above scheme, the method also includes:
The input terminal of the new model generation module is connect with the output end of the external information collector；
The new model generation module constructs institute for the external information according to acquired in the external information collector
State power market simulation model.
As an improvement of the above scheme, the method also includes:
The output end of the input terminal of the new model generation module and the Electricity market analysis optimizer, the failure are raw
It is connect at the output end for concluding device with the output end of analyzer and the participant behavior；
The target product analysis module, for generating and dividing according to the Electricity market analysis optimizer, the failure
Parser and the participant behavior conclude the analysis demand that device is proposed and update the model formation condition.
As an improvement of the above scheme, the new model generation module further includes pattern checking module and modeling mode storage
Module；
The pattern checking module, for by comparing the power market simulation model and the electric power system model
Inside and outside nature difference detects modeling problem and corrects；
The modeling mode storage module, for storing the modeling mode of the power market simulation model；Wherein, described
Modeling mode is the model format suitable for importing the target power market software.
As an improvement of the above scheme, the Electricity Market Simulation setter includes demand acquisition module, automation module
And model manipulation module；
The input terminal of the demand acquisition module respectively with the output end of the target product analysis module, the electric power city
The output end connection of the output end of farm software, the server, the output end and the model manipulation of the demand acquisition module
The input terminal of module connects, and the output end of the model manipulation module is connect with the input terminal of the electricity market software；It is described
The input terminal for automating module generates and analyzer with the output end of the Electricity market analysis optimizer, the failure respectively
Output end and the participant behavior conclude the output end connection of device；The output end and the model manipulation of the automation module
The input terminal of module connects；
The demand acquisition module, the model formation condition for being sent according to the target product analysis module,
The target power market software that the user that the server is sent emulates demand and the electricity market software is sent
Operating method, the model for obtaining the power market simulation model generates data, and then it is raw according to the model to generate data
At the first model setting requirements, and send it to the model manipulation module；
The automation module, for according to the Electricity market analysis optimizer, the failure generate with analyzer and
The participant behavior concludes the analysis demand that device is proposed and generates the second model setting requirements, and sends it to described
Model manipulation module；
The model manipulation module, for generating according to the first model setting requirements and the second model setting requirements
Model executes instruction, and the model is executed instruction and is sent to the electricity market software, so that the target power market
Software running simulation.
As an improvement of the above scheme, the Electricity market analysis optimizer includes that price abnormity detecting module, price are different
Normal locating module and countermeasure analysis module；
The output end of the price abnormity detecting module is connect with the input terminal of the price exception locating module, described to answer
The input terminal of strategy analysis module is connect with the output end of the price exception locating module, the countermeasure analysis module
Output end connect with the input terminal of the Electricity Market Simulation setter；
The price abnormity detecting module, operation data, the outside for being sent according to the electricity market software
The power price data and the historical data for storing and interacting device transmission that information acquisition device is sent, obtain price exception
Data, and then judge the abnormal conditions of the price abnormal data；Wherein, the abnormal conditions are included in entirety under normal circumstances
Exceptional value, in the normal value under whole abnormal conditions or the exceptional value under whole abnormal conditions；
The price exception locating module, the operation data for being sent according to the electricity market software determine
The abnormal cause of the abnormal conditions, and generate the influence coefficient for supporting one or more abnormal causes；
The countermeasure analysis module, the operation for being sent according to the influence coefficient, the electricity market software
The user that data, the server are sent emulates demand, the storage with the historical data for interacting device transmission and specially
The external information that family's empirical data, the external information collector are sent generates countermeasure collection, and by the countermeasure collection
It is sent to the Electricity Market Simulation setter, so that the Electricity Market Simulation setter generates model modeling condition, in turn
So that the electricity market software carries out simulating, verifying to the countermeasure collection according to the model modeling condition, described in assessment
Countermeasure concentrates the capacity factor of each strategy and returns to the countermeasure analysis module.
As an improvement of the above scheme, it includes failure generation module and accident analysis mould that the failure, which is generated with analyzer,
Block；
The output end of the input terminal of the failure analysis module and the failure generation module, the electricity market software
Output end connection, the output end of the failure analysis module are connect with the input terminal of the Electricity Market Simulation setter；
The failure generation module, for using preset failure generating algorithm or according to server transmission
User emulates demand and failure is arranged, and generates electric network fault；
The failure analysis module for generating accident analysis demand according to the electric network fault, and the failure is divided
Analysis demand is sent to the Electricity Market Simulation setter, so that the Electricity Market Simulation setter generates fault setting and wants
It asks, so that the electricity market software requires to be emulated according to the fault setting, and described in simulation result returned
Failure analysis module, to analyze the influence data of the electric network fault；Wherein, the accident analysis demand is based on preset event
Barrier parser is analyzed and is read to the electric network fault, or based on user-defined fault simulation rule to institute
State what electric network fault was emulated.
As an improvement of the above scheme, it includes that information pickup module and behavior generate mould that the participant behavior, which concludes device,
Block；
The output end of the information pickup module is connect with the input terminal of the behavior generation module；
The information pickup module emulates demand and the electric power city for obtaining the user from the server
Farm software, the participant's related data for storing and interacting device, the external information collector；
The behavior generation module, for emulating demand, participant's related data according to the user and coming from institute
State storage with interact the regular clause data of device, generate participant behavior data, and the participant behavior data are sent out
It send to the Electricity Market Simulation setter, so that the Electricity Market Simulation setter generates participant behavior setting requirements,
So that the electricity market software is emulated according to the participant behavior setting requirements, and simulation result is returned into institute
State information pickup module.
As an improvement of the above scheme, the storage includes inside and outside interactive module, historical data storage mould with device is interacted
Block, regular clause memory module and expertise storage module；
The storage with interact device and be bi-directionally connected with the inside and outside interactive module, the inside and outside interactive module respectively with
The historical data storage module, the regular clause memory module and the expertise storage module are bi-directionally connected；
The inside and outside interactive module, for emulating demand according to the user from the server, inside and outside processing
The data interaction demand in portion；
The historical data storage module is used for store historical data, and according to the Electricity market analysis optimizer, institute
It states failure and generates the real time data progress sent with analyzer, participant behavior conclusion device and the electricity market software more
New and storage；
The rule clause memory module is used for storage rule clause data, and the regular clause data is converted to
Mathematical model；
The expertise storage module, for storing expertise data.
Compared with prior art, a kind of market clearing price analysis of Influential Factors system disclosed by the embodiments of the present invention is led to
Cross the market clearing price analysis of Influential Factors system include server, electricity market model generator, electricity market software,
Electricity Market Simulation setter, Electricity market analysis optimizer, failure, which are generated, concludes device, storage with analyzer, participant behavior
With interact device and external information collector；The Electricity market analysis optimizer, the failure generate and analyzer, the participation
Person's behavior conclude device respectively with the Electricity Market Simulation setter, the electricity market software, the server, the storage
It is connect with interaction device, the external information collector；The electricity market model generator respectively with the Electricity Market Simulation
Setter, the server, electricity market software connection；The server is arranged with the Electricity Market Simulation respectively
Device, the electricity market software, the storage are connect with interaction device；The electricity market software respectively with the electricity market mould
Quasi- setter, the storage are connect with interaction device；The server obtains user and emulates demand for interacting with user
And send it to the electricity market model generator, the electricity market software, the Electricity Market Simulation setter, institute
State Electricity market analysis optimizer, the failure generates and concludes device, the storage with analyzer, the participant behavior and interact
Device；The electricity market model generator constructs power market simulation model for emulating demand in response to the user；Institute
Electricity market analysis optimizer is stated, for judging price abnormal conditions, the reason of price exception is positioned, generates price analysis data
And send it to the Electricity Market Simulation setter；The failure generates and analyzer, is used for simulating grid failure, and divide
The electric network fault is analysed to the accident analysis demand of market clearing price, and sends it to the Electricity Market Simulation setting
Device；The participant behavior concludes device, and for simulating the participant behavior under predetermined condition, generation participant behavior data simultaneously will
It is sent to the Electricity Market Simulation setter；The Electricity Market Simulation setter, for being emulated in response to the user
Demand, and it is imitative to the electricity market according to the countermeasure collection, the accident analysis demand, the participant behavior data
True mode carries out parameter setting and simulation setting, generates model and executes instruction and send it to the electricity market software；Institute
Electricity market software is stated, for emulating demand in response to the user, selection target electricity market software, and then by the electric power
Market simulation model imports the target power market software, and is executed instruction and simulated according to the model, and simulation is tied
Fruit returns to the Electricity market analysis optimizer, the failure generates and concludes device with analyzer, the participant behavior；The storage
It deposits and interacts device, for store historical data, regular clause data and expertise data, and need are emulated according to the user
It asks, handles the data interaction demand of inside and outside；The external information collector, for acquiring external information.By above system,
Firstly, the target power market software that demand building power market simulation model is emulated according to user and it is selected to run, in turn
Using the power market simulation model, realize that automatic positioning influences many factors of price, realization automatically analyzes every kind of influence
Ratio etc. of the price factor to price；Secondly, in the case where thering are enough hardware devices to support, it can be simultaneously to multiple hypotheses
Parallel parsing is unfolded in price exception inducement, supports enumerative technique to scan price abnormal cause, and by providing pair for different reasons
The function of Optimized Measures is answered, the Optimized Measures have reasonability and objectivity, can effectively improve analysis efficiency；It is again, it is described
Market clearing price shadow factor analysis system has learning functionality, the power market simulation model is constantly updated, so as to have
Effect is solved the problems, such as to cause subjectivity strong using manual method analysis market clearing price factor in the prior art, can be effectively improved
The objectivity and accuracy for analyzing result, can effectively improve efficiency, have the effects that save time, cost of labor.
Detailed description of the invention
Fig. 1 is a kind of structural representation for market clearing price analysis of Influential Factors system that one embodiment of the invention provides
Figure；
Wherein, 100, server；200, electricity market model generator；201, target product analysis module；202, former mould
Type solution read through model；203, new model generation module；300, Electricity Market Simulation setter；301, demand acquisition module；302, certainly
Dynamicization module；303, model manipulation module；400, electricity market software；500, Electricity market analysis optimizer；501, price is different
Normal detecting module；502, price exception locating module；503, countermeasure analysis module；600, failure generation and analyzer；
601, failure generation module；602, failure analysis module；700, participant behavior concludes device；701, information pickup module；702,
Behavior generation module；800, it stores and interacts device；801, inside and outside interactive module；802, historical data storage module；803, it advises
Then clause memory module；804, expertise storage module；900, external information collector.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
It is a kind of structure for market clearing price analysis of Influential Factors system that one embodiment of the invention provides referring to Fig. 1
Schematic diagram, including server 100, electricity market model generator 200, electricity market software 400, Electricity Market Simulation setter
300, Electricity market analysis optimizer 500, failure, which are generated, concludes device 700, storage with analyzer 600, participant behavior and interacts
Device 800 and external information collector 900；
The Electricity market analysis optimizer 500, the failure are generated to be concluded with analyzer 600, the participant behavior
Device 700 respectively with the Electricity Market Simulation setter 300, the electricity market software 400, the server 100, the storage
It deposits and is connect with interaction device 800, the external information collector 900；The electricity market model generator 200 respectively with the electricity
Power Market Simulation setter 300, the server 100, the electricity market software 400 connection；The server 100 respectively with
The Electricity Market Simulation setter 300, the electricity market software 400, the storage are connect with interaction device 800；The electricity
Power market software 400 is connect with the Electricity Market Simulation setter 300, the storage with interaction device 800 respectively；
The server 100 obtains user and emulates demand and send it to the electric power for interacting with user
Market model generator 200, the electricity market software 400, the Electricity Market Simulation setter 300, the electricity market
Analysis optimization device 500, the failure, which are generated, to be concluded device 700, the storage with analyzer 600, the participant behavior and interacts
Device 800；
The electricity market model generator 200 constructs power market simulation for emulating demand in response to the user
Model；
The Electricity market analysis optimizer 500 positions the reason of price exception, life for judging price abnormal conditions
At price analysis data and send it to the Electricity Market Simulation setter 300；
The failure is generated with analyzer 600, is used for simulating grid failure, and analyzes the electric network fault to electricity market
The accident analysis demand of price, and send it to the Electricity Market Simulation setter 300；
The participant behavior concludes device 700, for simulating the participant behavior under predetermined condition, generates participant behavior
Data simultaneously send it to the Electricity Market Simulation setter 300；
The Electricity Market Simulation setter 300 for emulating demand in response to the user, and answers countermeasure according to described
Slightly collection, the accident analysis demand, the participant behavior data to the power market simulation model carry out parameter setting and
Simulation setting generates model and executes instruction and send it to the electricity market software 400；
The electricity market software 400 is used in response to user emulation demand, selection target electricity market software,
And then the power market simulation model is imported into the target power market software, and progress is executed instruction according to the model
Analog result is returned to the Electricity market analysis optimizer 500 by simulation, the failure generates and analyzer 600, the participation
Device 700 is concluded in person's behavior；
It is described to store and interact device 800, it is used for store historical data, regular clause data and expertise data, and root
Demand is emulated according to the user, handles the data interaction demand of inside and outside；
The external information collector 900, for acquiring external information.
Wherein, the server 100 generates analysis instruction, the analysis to emulate demand according to user-defined user
Instruction can be the instruction about analysis electricity market which aspect Influence Factors of Price.The electricity market software 400 according to
Family emulates demand, selects its corresponding target power market software, so that the target power market software imports the electric power
The Influence Factors of Price of electricity market is analyzed in dry run after market simulation model.In addition, Electricity Market Simulation setter 300
The accident analysis with analyzer 600 is generated according to the price analysis data of the Electricity market analysis optimizer 500, the failure
Demand and the participant behavior conclude the participant behavior of device 700 to analyze the Influence Factors of Price of electricity market, and then right
Power market simulation model carries out parameter setting and simulation setting, is executed instruction with generating model, thus electricity market software 400
It is executed instruction according to the model and model is simulated.Wherein, which may include that countermeasure collection, price are different
Regular data etc. is used for the instruction set of model setting.The external information collector 900 can be oracle, outer to acquire
Portion's information.
Preferably, as shown in Figure 1, the electricity market model generator 200 includes target product analysis module 201, original
Model solution read through model 202, new model generation module 203；
The input terminal of the target product analysis module 201 is connect with the output end of the server 100, and the target produces
The input terminal of the output end of object analysis module 201 and the new model generation module 203, the Electricity Market Simulation setter
The input terminal connection of 300 input terminal, the master mould solution read through model 200；The output end of the master mould solution read through model 202 with
The input terminal of the new model generation module 203 connects；The output end and the electricity market of the new model generation module 203
The input terminal of software 400 connects；
The target product analysis module 201, it is raw for emulating the corresponding target simulation problem of demand according to the user
The master mould solution read through model 202 and described new is sent at corresponding model formation condition, and by the model formation condition
Model generation module 203；Wherein, the model formation condition includes element and parameter, model accuracy, element connection relationship and city
Field participant's information solicitation demand；
The master mould solution read through model 202, for selecting its corresponding electric system mould according to the model formation condition
Type, and then the electric power system model is read, extract element list, relationship between elements list and component parameters list；
The new model generation module 203, for screening and using from the element list according to the model formation condition
In the electric network element data of modeling, the element connection relationship of the electric network element data is screened from the relationship between elements list
Data, the screening model accuracy data from the component parameters list, and then according to obtain in advance other elements data, connection
Relationship and supplemental characteristic and the electric network element data, the element connection relationship data and the model accuracy data, building
The power market simulation model, so that the power market simulation model is sent to the electricity market software 400, so that
The target power market software imports the power market simulation model.
It should be noted that electricity market model generator 200 can be the core with functions such as data analysis and modelings
Piece and equipment, target product analysis module can be chip and equipment with data acquisition and analysis function.The present invention is implemented
Example is analyzed based on power market simulation model.The target product analysis module 201 is used for according to analogue simulation needs,
Generate electricity market model element demand necessary to analysis target problem.Wherein, analysis power market simulation model element needs
Ask and be made up of: first, analyze local area in grid condition for medium-term and long-term electric flux price, stock electric flux price, stock
The influence of ancillary service price, volumes markets price, financial derivatives price；Second, local area interior power situation is analyzed in
Long-term electric flux price, stock electric flux price, stock ancillary service price, volumes markets price, financial derivatives price
It influences；Third, analysis local area market comsupton member behavior are auxiliary for medium-term and long-term electric flux price, stock electric flux price, stock
Help the influence of service price, volumes markets price, financial derivatives price；4th, analysis transregional is wanted to meet national policy
It asks, to electric flux price long-term in target area, stock electric flux price, stock ancillary service price, volumes markets price, gold
Melt the influence of spin-off price；5th, the grid condition in analyzed area market, power conditions, Market Consumer member's behavior, break
Face constraint, national policy, respectively for electric flux price long-term in regional markets, stock electric flux price, stock ancillary service
The influence of price, volumes markets price, financial derivatives price.Wherein, the grid condition includes newly-built, retired situation, therefore
Hinder situation, overhaul situation, occasion saves situation, Electric Power Network Planning situation, distribution operating condition from damage.The power conditions include new
It builds, retired situation, fuel, the hydrology, wind-force, light conditions, overhauls situation, performance change situation, investment plan situation, failure feelings
Condition.The market comsupton member includes sale of electricity company, and larger power user participates in the Power Generation of market purchase, and virtual submit a tender participates in
Person.The national policy includes transferring electricity from the west to the east strategy, energy-saving and emission-reduction requirement, clean energy resource consumption requirement.
Further, the processing result of target product analysis module 201 is to obtain generating item to the model of mark problem of modelling
Part, including electric network element, model accuracy, element connection relationship and participant in the market's information solicitation demand.What specially need with
Kind fine degree models electric network element, needs to need participant in the market to make a report on assorted with relationship between which kind of careful degree modelling elements
Information.The electric network element includes generator, transformer, transmission line of alternation current, compensation device, DC power transmission line, node.
The model accuracy, the i.e. fine degree of element model indicate that parameter type is got over multilist and shown with the parameter that institute's modeling software is filled in
It is finer, it is on the contrary then more rough.The element connection relationship is expressed as the connection relationship between each element, institute between identical two o'clock
The node for the having connection more multilist for including shows that element connection relationship is finer.By way of example it is assumed that there are generator A, hairs for power grid
Motor boosting becomes B, generator node C, generator connecting in parallel with system node D, generator connecting in parallel with system substation transformer E, F, grid-connected substation
Outlet node G；The connection relationship can accurately be expressed as A-B-C-D-E-F-G, can also be expressed as A-D-G roughly, even
It can be expressed as A-G.In addition, participant in the market's information solicitation demand can be used to reflect market rules, including which is made a report on
Planting data and making a report on the limitation of data is what.As an example, spot market can only fill in generator bid data, setting hair
Motor bid data fill in limitation, can also fill in the offer by tender information of generator and power purchase side simultaneously, and be arranged it is unilateral or
Bilateral limitation.
In an alternative embodiment, as shown in Figure 1, the input terminal of the new model generation module 203 and described outer
The output end of portion's information acquisition device 900 connects；
The new model generation module 203, for the external information according to acquired in the external information collector 900,
Construct the power market simulation model.
In an alternative embodiment, as shown in Figure 1, the input terminal of the target product analysis module 201 with it is described
The output end of Electricity market analysis optimizer 500, the failure generate output end and the participant behavior with analyzer 600
Conclude the output end connection of device 700；
The target product analysis module 201, for raw according to the Electricity market analysis optimizer 500, the failure
The model formation condition is updated at the analysis demand that device 700 is proposed is concluded with analyzer 600 and the participant behavior.
It is appreciated that market clearing price shadow factor analysis system has learning functionality, the target product analysis module
It is generated and the pass of analyzer 600 according to data, the failure of the Electricity market analysis optimizer 500 about price exception is received
Device 700 is concluded about participant to market clearing price abnormal cause, no in the data of fault condition and the participant behavior
It is disconnected to update the power market simulation model, so that analysis result more closing to reality situation.
It should be noted that the master mould solution read through model 202 is for reading preset electric power system model, as element
Master mould is translated as element list, relationship between elements list and element by list, relationship between elements list and component parameters list
Parameter list, for subsequent modeling use.The master mould solution read through model 202 substantially invents a kind of electric power system model to electricity
The intermediate state of power market simulation model conversation, the format based on the intermediate state can be to any electricity market software or electricity
Force system simulation softward imports object module, i.e., it is soft in target power market to imitate manual method according to three lists generated
It is filled in part and establishes model.When not being related to failure and stable case is analyzed, all topological model of power system and property
Setting can be shown by these three types of lists.
The new model generation module 203, the model formation condition for being analyzed according to target product analysis module 201,
Selection needs the element modeled from the element list that master mould solution read through model 202 interprets, and selects from relationship between elements list
The connection relationship for choosing interelement is selected, element and the corresponding parameter of connection relationship are chosen from component parameters list.And root
According to the methods of filling in the other elements that obtain, connection relationship, parameter information completion power market simulation model by laboratory technician
Element list, relationship between elements list, parameter list.By the modeling interface in module, with target power market simulation software
The form needed, according to three lists, Auto-writing simultaneously generates power market simulation model.Optionally, power market simulation mould
Type construction method can also be the external information as acquired in external information collector 900 construct, be also possible to it is adaptive by
User emulates target power market software, the model formation condition that demand determines and constructs from dynamic auxiliary.
Further, the new model generation module 203 further includes pattern checking module and modeling mode storage module；
The pattern checking module, for by comparing the power market simulation model and the electric power system model
Inside and outside nature difference detects modeling problem and corrects；
The modeling mode storage module, for storing the modeling mode of the power market simulation model；Wherein, described
Modeling mode is the model format suitable for importing the target power market software.
It is appreciated that pattern checking module has the function of pattern checking, and pass through the new established model of comparison and master mould
Inside and outside nature difference finds and corrects modeling problem.Modeling mode storage module can be modeling mode storage device, for remembering
The modeling mode for recording and storing target software, facilitate it is subsequent in same software model when quick calling.
Preferably, as shown in Figure 1, the Electricity Market Simulation setter 300 includes demand acquisition module 301, automation
Module 302 and model manipulation module 303；
The input terminal of the demand acquisition module 301 respectively with the output end of the target product analysis module 201, described
The output end connection of the output end of electricity market software 400, the server 100, the output end of the demand acquisition module 301
It is connect with the input terminal of the model manipulation module 303, the output end and the electricity market of the model manipulation module 303 are soft
The input terminal of part 400 connects；It is described automation module 302 input terminal respectively with the Electricity market analysis optimizer 500
Output end, the failure generate the output end for concluding device 700 with the output end of analyzer 600 and the participant behavior and connect；
The output end of the automation module 302 is connect with the input terminal of the model manipulation module 303；
The demand acquisition module 301, the model for being sent according to the target product analysis module 201 generate
The target electricity that the user that condition, the server 100 are sent emulates demand and the electricity market software 400 is sent
The operating method of power market software, the model for obtaining the power market simulation model generate data, and then according to the model
It generates data and generates the first model setting requirements, and send it to the model manipulation module 303；
The automation module 302, for generating and dividing according to the Electricity market analysis optimizer 500, the failure
Parser 600 and the participant behavior conclude the analysis demand that device 700 is proposed and generate the second model setting requirements, and will
It is sent to the model manipulation module 303；
The model manipulation module 303, for according to the first model setting requirements and the second model setting requirements, life
It is executed instruction at model, and the model is executed instruction and is sent to the electricity market software 400, so that the target power
Market software running simulation.
It is appreciated that Electricity Market Simulation setter 300 includes demand acquisition module 301, automation module 302 and model
303 three parts of operation module, for generating setting and the mould of the types models such as demand, analysis demand, fault condition according to model
It proposes and sets.Wherein, demand acquisition module 301 absorbs two parts content, first is that the analysis instruction sent by server 100,
Specifically need which kind of analysis, i.e. which kind of analysis instruction is operating software carry out.Second is that the institute that the electricity market software 400 is sent
The operating method of power market simulation model is stated, specifically which kind of software target simulation software is, i.e. what the target software follows
Kind operating method.Optionally, demand acquisition module 301 can be connect with storage with interaction device 800, be read from storage with device 800 is interacted
Access evidence；It can be connect with automation module 302, can be and read from automation module 302 from Electricity market analysis optimizer
500, the failure generates the analysis demand data that device 700 is concluded with analyzer 600 and the participant behavior.Automate module
302, the analysis demand proposed with analyzer 600 can be generated according to Electricity market analysis optimizer 500, failure automatically generate mould
Type setting requirements.Demand acquisition module 301, the various model setting requirements for automating module 302 pass through model manipulation module 303
It is embodied, specially generation model executes instruction, so that electricity market software 400 is executed instruction according to model carries out emulation mould
It is quasi-.
Preferably, as shown in Figure 1, the Electricity market analysis optimizer 500 includes price abnormity detecting module 501, valence
Lattice exception locating module 502 and countermeasure analysis module 503；
The output end of the price abnormity detecting module 501 is connect with the input terminal of the price exception locating module 502,
The input terminal of the countermeasure analysis module 503 is connect with the output end of the price exception locating module 502, the reply
The output end of strategy analysis module 503 is connect with the input terminal of the Electricity Market Simulation setter 300；
The price abnormity detecting module 501, operation data, institute for being sent according to the electricity market software 400
The power price data and the historical data for storing and interacting the transmission of device 800 of the transmission of external information collector 900 are stated,
Price abnormal data is obtained, and then judges the abnormal conditions of the price abnormal data；Wherein, the abnormal conditions are included in whole
Body exceptional value under normal circumstances, in the normal value under whole abnormal conditions or the exceptional value under whole abnormal conditions；
The price exception locating module 502, the operation number for being sent according to the electricity market software 400
According to determining the abnormal cause of the abnormal conditions, and generate the influence coefficient for supporting one or more abnormal causes；
The countermeasure analysis module 503, for being sent according to the influence coefficient, the electricity market software 400
Operation data, the server 100 send the user emulate demand, it is described storage with interact device 800 send it is described
The external information that historical data and expertise data, the external information collector 900 are sent generates countermeasure collection, and will
The countermeasure collection is sent to the Electricity Market Simulation setter 300, so that the Electricity Market Simulation setter 300 is raw
At model modeling condition, so that the electricity market software 400 is according to the model modeling condition to the countermeasure
Collection carries out simulating, verifying, assesses the countermeasure and concentrates the capacity factor of each strategy and return to the countermeasure analysis module
503。
It is appreciated that Electricity market analysis optimizer 500 includes price abnormity detecting module 501, price exception positioning mould
Block 502,503 three parts of countermeasure analysis module position price abnormal cause, Yi Jifen for finding price abnormal conditions
The reason of analysis reply market clearing price exception.Price involved in Electricity market analysis optimizer described in the present embodiment is detectd extremely
Module 501 is surveyed, electric power and ancillary service price and history number that certain node, certain region or user draw the line interior are not only compared
According to the difference showed when comparing, moreover it is possible to analyze the price distribution feelings in interest region (node, region or user defined area)
Condition, and then judge automatically the price extremely and be in whole exceptional value under normal circumstances, or under whole abnormal conditions just
Constant value, or another exceptional value under whole abnormal conditions.Then, price exception locating module 502 can pass through reading
Market Simulation data borrow Market Simulation device to carry out market situation automatic imitation, and then determine that the abnormal one or more of price is former
Cause, and provide the influence coefficient of response.Finally, countermeasure module 503 can be according to storage and the history number interacted in device 800
According to, expertise and external information of external information collector 900 etc., countermeasure collection is automatically generated.Countermeasure module 503
The automation module 302 that the countermeasure collection is sent to Electricity Market Simulation setter 300 is subjected to setting for automation modeling
It sets, and then simulating, verifying is carried out to the countermeasure collection by electricity market software 400, so that it is described above different to provide reply
The resolution policy of normal reason, assesses and provides every tactful ability to solve problem coefficient.
Preferably, as shown in Figure 1, it includes failure generation module 601 and accident analysis that the failure, which is generated with analyzer 600,
Module 602；
Output end, the electricity market of the input terminal of the failure analysis module 602 and the failure generation module 601
The output end of software 400 connects, the output end of the failure analysis module 602 and the Electricity Market Simulation setter 300
Input terminal connection；
The failure generation module 601, for being sent using preset failure generating algorithm or according to the server 100
The user emulate demand be arranged failure, generate electric network fault；
The failure analysis module 602, for generating accident analysis demand according to the electric network fault, and by the failure
Analysis demand is sent to the Electricity Market Simulation setter 300, so that the Electricity Market Simulation setter 300 generates failure
Setting requirements, so that the electricity market software 400 requires to be emulated according to the fault setting, and by simulation result
The failure analysis module 602 is returned to, to analyze the influence data of the electric network fault；Wherein, the accident analysis demand is
The electric network fault is analyzed and read based on preset accident analysis algorithm, or is based on user-defined failure
Analog rule emulates the electric network fault.
It is appreciated that failure, which is generated, includes failure generation module 601 and failure analysis module 602 with analyzer 600, to
Analog physical electric network fault is influenced caused by price.Failure generation module 601 can be supported as Monte Carlo random fault is raw
At etc. various faults generating algorithm, sets itself can be needed according to user, also support enumerative technique list all possible breakdowns.Failure
Analysis module 602, can be imitative by electricity market for analyzing physical influence caused by the generated failure of failure generation module
True mode carries out analogue simulation and reads as a result, can also carry out customized emulation by user-defined fault simulation rule.
Preferably, as shown in Figure 1, it includes that information pickup module 701 and behavior generate that the participant behavior, which concludes device 700,
Module 702；
The output end of the information pickup module 701 is connect with the input terminal of the behavior generation module 702；
The information pickup module 701 emulates demand and described for obtaining the user from the server 100
Electricity market software 400, the participant's related data for storing and interacting device 800, the external information collector 900；
The behavior generation module 702, for emulating demand, participant's related data according to the user and coming from
The storage and the rule clause data for interact device 800, generation participant behavior data, and by the participant behavior number
According to the Electricity Market Simulation setter 300 is sent to, so that the Electricity Market Simulation setter 300 generates participant behavior
Setting requirements so that the electricity market software 400 is emulated according to the participant behavior setting requirements, and will imitate
True result returns to the information pickup module 701.
It is appreciated that participant behavior, which concludes device 700, includes information pickup module 701 and behavior generation module 702, to
The participant behavior in various situations is simulated, so that the market clearing price abnormal cause analyzed in this method is more close to reality
Border situation specifically can effectively improve analysis result as modeling sample or setting model using the participant behavior data
Accuracy and objectivity.The participant behavior concludes user information, the row that device 700 is absorbed according to information pickup module 701
It situations such as habit, weather, the hydrology, historical summary, is automatically generated by behavior generation module 702 in different state of market and rule
Participant behavior data under then.Meanwhile the participant behavior conclusion device 700 can also be straight by information pickup module 701
It connects and reads the participant behavior that external information collector 900 acquires.
Preferably, as shown in Figure 1, the storage includes inside and outside interactive module 801, historical data storage with device 800 is interacted
Storing module 802, regular clause memory module 803 and expertise storage module 804；
The storage with interact device 800 and be bi-directionally connected with the inside and outside interactive module 801, the inside and outside interactive module
801 store mould with the historical data storage module 802, the regular clause memory module 803 and the expertise respectively
Block 804 is bi-directionally connected；
The inside and outside interactive module 801, for emulating demand, place according to the user from the server 100
Manage the data interaction demand of inside and outside；
The historical data storage module 802 is used for store historical data, and according to the Electricity market analysis optimizer
500, the failure, which is generated, concludes device 700 and the electricity market software 400 transmission with analyzer 600, the participant behavior
Real time data be updated and store；
The rule clause memory module 803, is used for storage rule clause data, and by the regular clause data conversion
For mathematical model；
The expertise storage module 804, for storing expertise data.
It is appreciated that storage includes inside and outside interactive module 801, historical data storage module 802, rule with device 800 is interacted
Then clause storage module 803, expertise storage module 804.Inside and outside interactive module 801 is to handle all inside and outside interactions
Demand realizes other modules and storage and the data interaction that interacts each data storage module in device 800, such as electricity market software
The real-time analysis data obtained when 400 simulation run be sent to storage with interact the inside and outside interactive module 801 of device 800, with more
New historical data module 802.Historical data module 802 is to store all data informations and taxonomic revision is taken to facilitate.Rule
Then rule is converted to mathematic(al) representation automatically by artificial intelligence by clause storage module 803, and manual read is allowed to repair volume.Specially
Family's experience storage module 804 is similar to experts database, and the expert stored under known case copes with experience, as similar problems in emulation
Direct resolution policy.
A kind of market clearing price analysis of Influential Factors system provided in an embodiment of the present invention, passes through the electricity market valence
Lattice analysis of Influential Factors system includes server, electricity market model generator, electricity market software, Electricity Market Simulation setting
Device, Electricity market analysis optimizer, failure, which are generated, to be concluded device, storage with analyzer, participant behavior and interacts device and external letter
Cease collector；The Electricity market analysis optimizer, the failure, which are generated, concludes device difference with analyzer, the participant behavior
With the Electricity Market Simulation setter, the electricity market software, the server, it is described storage with interact device, it is described outside
The connection of portion's information acquisition device；The electricity market model generator respectively with the Electricity Market Simulation setter, the service
Device, electricity market software connection；The server is soft with the Electricity Market Simulation setter, the electricity market respectively
Part, the storage are connect with interaction device；The electricity market software respectively with the Electricity Market Simulation setter, the storage
It is connect with interaction device；The server obtains user and emulates demand and send it to the electricity for interacting with user
Power market model generator, the electricity market software, the Electricity Market Simulation setter, Electricity market analysis optimization
Device, the failure, which are generated, to be concluded device, the storage with analyzer, the participant behavior and interacts device；The electricity market mould
Type generator constructs power market simulation model for emulating demand in response to the user；The Electricity market analysis optimization
Device positions the reason of price exception, and generate countermeasure collection and send it to the electricity for judging price abnormal conditions
Power Market Simulation setter；The failure generates and analyzer, is used for simulating grid failure, and analyze the electric network fault to electricity
The accident analysis demand of the power market price, and send it to the Electricity Market Simulation setter；The participant behavior is returned
It receives device, for simulating the participant behavior under predetermined condition, generates participant behavior data and simultaneously send it to the electric power city
Field simulation setter；The Electricity Market Simulation setter, for emulating demand in response to the user, and according to the reply
Set of strategies, the accident analysis demand, the participant behavior data carry out parameter setting to the power market simulation model
It is arranged with simulation, generates model and execute instruction and send it to the electricity market software；The electricity market software, is used for
In response to the user emulate demand, selection target electricity market software, so the target power market software import described in
Power market simulation model, and executed instruction and simulated according to the model, analog result is returned into the electricity market point
Analyse optimizer, the failure generates and concludes device with analyzer, the participant behavior；It is described to store and interact device, for storing
Historical data, regular clause data and expertise data, and demand is emulated according to the user, the data for handling inside and outside are handed over
Mutual demand；The external information collector, for acquiring external information.By above system, firstly, emulating demand according to user
Building power market simulation model and the target power market software for selecting it to run, and then use the power market simulation mould
Type realizes that automatic positioning influences many factors of price, realizes that automatically analyzing every kind influences price factor to the ratio of price
Example etc.；Secondly, in the case where thering are enough hardware devices to support, it can be simultaneously to parallel point of the expansion of multiple hypotheses price exception inducement
Analysis supports enumerative technique to scan price abnormal cause, and the function by providing corresponding Optimized Measures for different reasons, described excellent
Change measure has reasonability and objectivity, can effectively improve analysis efficiency；It is the market clearing price shadow factor analysis system again
System has learning functionality, constantly updates the power market simulation model, to can effectively solve in the prior art using artificial
The method analysis market clearing price factor problem that causes subjectivity strong can effectively improve the objectivity of analysis result and accurate
Property, efficiency can be effectively improved, has the effects that save time, cost of labor.
It should be noted that the apparatus embodiments described above are merely exemplary, wherein described be used as separation unit
The unit of explanation may or may not be physically separated, and component shown as a unit can be or can also be with
It is not physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to actual
It needs that some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.In addition, device provided by the invention
In embodiment attached drawing, the connection relationship between module indicate between them have communication connection, specifically can be implemented as one or
A plurality of communication bus or signal wire.Those of ordinary skill in the art are without creative efforts, it can understand
And implement.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as
Protection scope of the present invention.
Claims (10)
1. a kind of market clearing price analysis of Influential Factors system, which is characterized in that generated including server, electricity market model
Device, electricity market software, Electricity Market Simulation setter, Electricity market analysis optimizer, failure generate and analyzer, participant
Behavior concludes device, storage and interacts device and external information collector；
The Electricity market analysis optimizer, the failure generate with analyzer, the participant behavior conclude device respectively with institute
It states Electricity Market Simulation setter, the electricity market software, the server, the storage and interacts device, the external letter
Cease collector connection；The electricity market model generator respectively with the Electricity Market Simulation setter, the server, institute
State the connection of electricity market software；The server respectively with the Electricity Market Simulation setter, the electricity market software, institute
Storage is stated to connect with interaction device；The electricity market software respectively with the Electricity Market Simulation setter, it is described storage and hand over
Mutual device connection；
The server obtains user and emulates demand and send it to the electricity market mould for interacting with user
It is type generator, the electricity market software, the Electricity Market Simulation setter, the Electricity market analysis optimizer, described
Failure, which is generated, to be concluded device, the storage with analyzer, the participant behavior and interacts device；
The electricity market model generator constructs power market simulation model for emulating demand in response to the user；
The Electricity market analysis optimizer positions the reason of price exception, generates price point for judging price abnormal conditions
Analysis data simultaneously send it to the Electricity Market Simulation setter；
The failure generates and analyzer, is used for simulating grid failure, analyzes event of the electric network fault to market clearing price
Hinder analysis demand, and sends it to the Electricity Market Simulation setter；
The participant behavior concludes device, for simulating the participant behavior under predetermined condition, generates participant behavior data simultaneously
Send it to the Electricity Market Simulation setter；
The Electricity Market Simulation setter, for emulating demand in response to the user, and according to the countermeasure collection, institute
State accident analysis demand, the participant behavior data set power market simulation model progress parameter setting and simulation
It sets, generates model and execute instruction and send it to the electricity market software；
The electricity market software, for emulating demand in response to the user, selection target electricity market software, and then by institute
It states power market simulation model and imports the target power market software, and executed instruction and simulated according to the model, it will
Analog result returns to the Electricity market analysis optimizer, the failure generates and concludes device with analyzer, the participant behavior；
It is described to store and interact device, for store historical data, regular clause data and expertise data, and according to the use
Family emulates demand, handles the data interaction demand of inside and outside；
The external information collector, for acquiring external information.
2. market clearing price analysis of Influential Factors system as described in claim 1, which is characterized in that the electricity market mould
Type generator includes target product analysis module, master mould solution read through model, new model generation module；
The input terminal of the target product analysis module is connect with the output end of the server, the target product analysis module
Output end and the input terminal of the new model generation module, the input terminal of the Electricity Market Simulation setter, the former mould
The input terminal of type solution read through model connects；The input terminal of the output end of the master mould solution read through model and the new model generation module
Connection；The output end of the new model generation module is connect with the input terminal of the electricity market software；
The target product analysis module, it is corresponding for emulating the corresponding target simulation problem generation of demand according to the user
Model formation condition, and the model formation condition is sent to the master mould solution read through model and new model generation mould
Block；Wherein, the model formation condition includes element and parameter, model accuracy, element connection relationship and participant in the market's information
Fill in demand；
The master mould solution read through model, for selecting its corresponding electric power system model, in turn according to the model formation condition
The electric power system model is read, element list, relationship between elements list and component parameters list are extracted；
The new model generation module, for according to the model formation condition, screening to be for modeling from the element list
Electric network element data, the element connection relationship data of the electric network element data are screened from the relationship between elements list,
The screening model accuracy data from the component parameters list, and then according to other elements data, the connection relationship obtained in advance
And supplemental characteristic and the electric network element data, the element connection relationship data and the model accuracy data, described in building
Power market simulation model, so that the power market simulation model is sent to the electricity market software, so that the mesh
It marks electricity market software and imports the power market simulation model.
3. market clearing price analysis of Influential Factors system as claimed in claim 2, which is characterized in that the method is also wrapped
It includes:
The input terminal of the new model generation module is connect with the output end of the external information collector；
The new model generation module constructs the electricity for the external information according to acquired in the external information collector
Power market simulation model.
4. market clearing price analysis of Influential Factors system as claimed in claim 2, which is characterized in that the method is also wrapped
It includes:
The output end of the input terminal of the new model generation module and the Electricity market analysis optimizer, the failure generate with
The output end of analyzer and the participant behavior conclude the output end connection of device；
The target product analysis module, for according to the Electricity market analysis optimizer, failure generation and analyzer
And the participant behavior concludes the analysis demand that device is proposed and updates the model formation condition.
5. market clearing price analysis of Influential Factors system as claimed in claim 2, which is characterized in that the new model generates
Module further includes pattern checking module and modeling mode storage module；
The pattern checking module, for by comparing inside and outside the power market simulation model and the electric power system model
Portion's nature difference detects modeling problem and corrects；
The modeling mode storage module, for storing the modeling mode of the power market simulation model；Wherein, the modeling
Mode is the model format suitable for importing the target power market software.
6. market clearing price analysis of Influential Factors system as claimed in claim 2, which is characterized in that the electricity market mould
Quasi- setter includes demand acquisition module, automation module and model manipulation module；
The input terminal of the demand acquisition module is soft with the output end of the target product analysis module, the electricity market respectively
The output end connection of the output end of part, the server, the output end of the demand acquisition module and the model manipulation module
Input terminal connection, the output end of the model manipulation module connect with the input terminal of the electricity market software；It is described automatic
The input terminal for changing module generates respectively with the output end of the Electricity market analysis optimizer, the failure and the output of analyzer
End and the participant behavior conclude the output end connection of device；The output end of the automation module and the model manipulation module
Input terminal connection；
The demand acquisition module, it is the model formation condition for being sent according to the target product analysis module, described
The user that server is sent emulates the behaviour of the target power market software of demand and electricity market software transmission
Make method, the model for obtaining the power market simulation model generates data, and then generates data according to the model and generate the
One model setting requirements, and send it to the model manipulation module；
The automation module, for being generated and analyzer and described according to the Electricity market analysis optimizer, the failure
Participant behavior concludes the analysis demand that device is proposed and generates the second model setting requirements, and sends it to the model
Operation module；
The model manipulation module, for generating model according to the first model setting requirements and the second model setting requirements
It executes instruction, and the model is executed instruction and is sent to the electricity market software, so that the target power market software
Running simulation.
7. market clearing price analysis of Influential Factors system as described in claim 1, which is characterized in that the electricity market point
Analysing optimizer includes price abnormity detecting module, price exception locating module and countermeasure analysis module；
The output end of the price abnormity detecting module is connect with the input terminal of the price exception locating module, described to answer countermeasure
The slightly input terminal of analysis module is connect with the output end of the price exception locating module, the countermeasure analysis module it is defeated
Outlet is connect with the input terminal of the Electricity Market Simulation setter；
The price abnormity detecting module, operation data, the external information for being sent according to the electricity market software
The power price data and the historical data for storing and interacting device transmission that collector is sent, obtain price exception number
According to, and then judge the abnormal conditions of the price abnormal data；Wherein, the abnormal conditions include it is whole under normal circumstances
Exceptional value, in the normal value under whole abnormal conditions or the exceptional value under whole abnormal conditions；
The price exception locating module, the operation data for being sent according to the electricity market software, described in judgement
The abnormal cause of abnormal conditions, and generate the influence coefficient for supporting one or more abnormal causes；
The countermeasure analysis module, for according to it is described influence coefficient, the electricity market software send operation data,
The user that the server is sent emulates demand, the historical data and expertise for storing and interacting device transmission
The external information that data, the external information collector are sent generates countermeasure collection, and the countermeasure collection is sent to
The Electricity Market Simulation setter, so that the Electricity Market Simulation setter generates model modeling condition, so that institute
It states electricity market software and simulating, verifying is carried out to the countermeasure collection according to the model modeling condition, answer countermeasure described in assessment
It slightly concentrates the capacity factor of each strategy and returns to the countermeasure analysis module.
8. market clearing price analysis of Influential Factors system as described in claim 1, which is characterized in that the failure generate with
Analyzer includes failure generation module and failure analysis module；
The output of the output end, the electricity market software of the input terminal of the failure analysis module and the failure generation module
End connection, the output end of the failure analysis module are connect with the input terminal of the Electricity Market Simulation setter；
The failure generation module, for using preset failure generating algorithm or the user sent according to the server
Failure is arranged in emulation demand, generates electric network fault；
The failure analysis module for generating accident analysis demand according to the electric network fault, and the accident analysis is needed
It asks and is sent to the Electricity Market Simulation setter, so that the Electricity Market Simulation setter generates fault setting requirement, into
And the electricity market software is made to require to be emulated according to the fault setting, and simulation result is returned to the failure point
Module is analysed, to analyze the influence data of the electric network fault；Wherein, the accident analysis demand is based on preset accident analysis
What algorithm was analyzed and was read to the electric network fault, or based on user-defined fault simulation rule to the power grid
What failure was emulated.
9. market clearing price analysis of Influential Factors system as described in claim 1, which is characterized in that the participant behavior
Concluding device includes information pickup module and behavior generation module；
The output end of the information pickup module is connect with the input terminal of the behavior generation module；
The information pickup module, for obtaining, the user from the server emulates demand and the electricity market is soft
Part, the participant's related data for storing and interacting device, the external information collector；
The behavior generation module, for emulating demand, participant's related data according to the user and coming from the storage
The regular clause data deposited and interact device, generate participant behavior data, and the participant behavior data are sent to
The Electricity Market Simulation setter, so that the Electricity Market Simulation setter generates participant behavior setting requirements, in turn
So that the electricity market software is emulated according to the participant behavior setting requirements, and simulation result is returned into the letter
Cease acquisition module.
10. market clearing price analysis of Influential Factors system as described in claim 1, which is characterized in that the storage and friendship
Mutual device includes inside and outside interactive module, historical data storage module, regular clause memory module and expertise storage module；
The storage with interact device and be bi-directionally connected with the inside and outside interactive module, the inside and outside interactive module respectively with it is described
Historical data storage module, the regular clause memory module and the expertise storage module are bi-directionally connected；
The inside and outside interactive module handles inside and outside for emulating demand according to the user from the server
Data interaction demand；
The historical data storage module is used for store historical data, and according to the Electricity market analysis optimizer, the event
Barrier generate with analyzer, the participant behavior conclude the real time data that device and the electricity market software are sent be updated and
Storage；
The rule clause memory module is used for storage rule clause data, and the regular clause data is converted to mathematics
Model；
The expertise storage module, for storing expertise data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910666527.0A CN110458607B (en) | 2019-07-23 | 2019-07-23 | Electric power market price influence factor analysis system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910666527.0A CN110458607B (en) | 2019-07-23 | 2019-07-23 | Electric power market price influence factor analysis system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110458607A true CN110458607A (en) | 2019-11-15 |
| CN110458607B CN110458607B (en) | 2022-06-14 |
Family
ID=68483195
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910666527.0A Active CN110458607B (en) | 2019-07-23 | 2019-07-23 | Electric power market price influence factor analysis system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110458607B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115423578A (en) * | 2022-09-01 | 2022-12-02 | 广东博成网络科技有限公司 | Bidding method and system based on micro-service containerization cloud platform |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105447759A (en) * | 2015-12-18 | 2016-03-30 | 深圳市佐学科技有限公司 | Mixed value appraisal type intelligent stock exchange system based on big data |
| CN105868873A (en) * | 2015-01-19 | 2016-08-17 | 嘉兴精创教育科技有限公司 | Cloud computing-based human resources management simulated combat sand table system and application |
| CN109102403A (en) * | 2018-08-08 | 2018-12-28 | 中国石化销售有限公司 | A kind of analogy method of generation and adjustment oil product trade market environmental data |
-
2019
- 2019-07-23 CN CN201910666527.0A patent/CN110458607B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105868873A (en) * | 2015-01-19 | 2016-08-17 | 嘉兴精创教育科技有限公司 | Cloud computing-based human resources management simulated combat sand table system and application |
| CN105447759A (en) * | 2015-12-18 | 2016-03-30 | 深圳市佐学科技有限公司 | Mixed value appraisal type intelligent stock exchange system based on big data |
| CN109102403A (en) * | 2018-08-08 | 2018-12-28 | 中国石化销售有限公司 | A kind of analogy method of generation and adjustment oil product trade market environmental data |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115423578A (en) * | 2022-09-01 | 2022-12-02 | 广东博成网络科技有限公司 | Bidding method and system based on micro-service containerization cloud platform |
| CN115423578B (en) * | 2022-09-01 | 2023-12-05 | 广东博成网络科技有限公司 | Bid bidding method and system based on micro-service containerized cloud platform |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110458607B (en) | 2022-06-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103746882B (en) | The method of intelligent substation station level test | |
| CN110543697B (en) | Electric power market simulation running system | |
| CN107967204A (en) | Line pushes method, system and the terminal device surveyed | |
| Martins et al. | A multiple objective linear programming approach to power generation planning with demand-side management (DSM) | |
| CN108508852B (en) | Isolation management system and isolation management method | |
| CN104702666A (en) | User experience quality confirmation method and system | |
| Heinrich et al. | Electricity supply industry modelling for multiple objectives under demand growth uncertainty | |
| CN107944193A (en) | Avionics semi-matter simulating system | |
| CN107481598A (en) | A kind of emulation training platform of intelligent substation | |
| CN106022641A (en) | Transformer substation load characteristic on-line analysis system and transformer substation load characteristic on-line analysis method | |
| TWI757691B (en) | Operation index presentation device, operation index presentation method, and program | |
| CN110930248A (en) | Credit risk prediction model construction method and system, storage medium and electronic equipment | |
| Wrasse et al. | Simulation of product-service-systems piloting with agent-based models (outlined revision) | |
| CN112884163A (en) | Combined service evaluation method and system based on federated machine learning algorithm and cloud feedback | |
| CN110458607A (en) | A kind of market clearing price analysis of Influential Factors system | |
| Zhu et al. | A system-of-systems framework for performance assessment in complex construction projects | |
| Vinagre et al. | Intelligent energy forecasting based on the correlation between solar radiation and consumption patterns | |
| Gramelsberger et al. | Enabling informed sustainability decisions: sustainability assessment in iterative system modeling | |
| CN116933626A (en) | Data monitoring method and device based on digital twinning | |
| CN109412152B (en) | Power grid loss calculation method based on deep learning and elastic network regularization | |
| Friederich et al. | A Framework for Validating Data-Driven Discrete-Event Simulation Models of Cyber-Physical Production Systems | |
| CN110310048A (en) | A kind of distribution planning overall process appraisal procedure and device | |
| Talamo et al. | Epistemic uncertainty, risk management and information: The role of the detailed design | |
| CN108493929A (en) | A kind of Power system transient stability prediction model modelling approach and system | |
| do Amaral et al. | Attribute selection with filter and wrapper: an application on incident management process |
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 |