CN113888239A - Distributed carbon trading price adjusting system based on virtual power plant platform - Google Patents
Distributed carbon trading price adjusting system based on virtual power plant platform Download PDFInfo
- Publication number
- CN113888239A CN113888239A CN202111267580.7A CN202111267580A CN113888239A CN 113888239 A CN113888239 A CN 113888239A CN 202111267580 A CN202111267580 A CN 202111267580A CN 113888239 A CN113888239 A CN 113888239A
- Authority
- CN
- China
- Prior art keywords
- carbon
- transaction
- analysis
- price
- sub
- 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.)
- Pending
Links
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 title claims abstract description 348
- 229910052799 carbon Inorganic materials 0.000 title claims abstract description 348
- 238000012544 monitoring process Methods 0.000 claims abstract description 14
- 230000003442 weekly effect Effects 0.000 claims description 30
- 239000003245 coal Substances 0.000 claims description 15
- 230000007812 deficiency Effects 0.000 claims description 12
- 238000000034 method Methods 0.000 claims description 12
- 230000002159 abnormal effect Effects 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 6
- 230000003247 decreasing effect Effects 0.000 claims description 3
- 230000002950 deficient Effects 0.000 claims description 3
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 8
- 229910002092 carbon dioxide Inorganic materials 0.000 description 4
- 239000001569 carbon dioxide Substances 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 230000010485 coping Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 239000005431 greenhouse gas Substances 0.000 description 2
- 230000002401 inhibitory effect Effects 0.000 description 2
- 238000010792 warming Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000003828 downregulation Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 238000000556 factor analysis Methods 0.000 description 1
- 239000003102 growth factor Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 230000004936 stimulating effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000003827 upregulation Effects 0.000 description 1
Images
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
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/84—Greenhouse gas [GHG] management systems
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
- Y04S50/14—Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Finance (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- Data Mining & Analysis (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a distributed carbon trading price adjusting system based on a virtual power plant platform, which relates to the technical field of carbon trading price adjusting, solves the technical problem that the carbon trading price cannot be accurately adjusted in the prior art, judges the stability of a carbon trading market, predicts the risk of the carbon trading market, and improves the management and control efficiency of the carbon trading market; fluctuation analysis is carried out according to price monitoring, the risk of carbon trading price fluctuation is judged, corresponding risks are classified into different grades, the current situation of a carbon trading market can be accurately judged through the risks in different grades, meanwhile, accurate adjustment can be timely made, and market control cost is reduced while market stability is achieved; adjusting the price according to the carbon transaction price analysis; the extreme risk of carbon trading price due to overhigh price is prevented, the carbon trading system is prevented from losing meaning due to overlow price, and the carbon emission control function cannot be realized.
Description
Technical Field
The invention relates to the technical field of carbon trading price adjustment, in particular to a distributed carbon trading price adjustment system based on a virtual power plant platform.
Background
At present, the world economy develops rapidly, but the cost of economic growth is resource and environmental pollution, particularly, global warming is caused due to the increase of greenhouse gases based on carbon dioxide, the global warming is the core of environmental problems, all countries are exploring measures for coping with global climate change and inhibiting the emission of greenhouse gases, in recent years, a carbon pricing policy becomes an effective tool for stimulating emission reduction of more and more countries, the carbon pricing actually sets a price for the emitted carbon dioxide, and an economic main body reduces the emitted carbon dioxide or buries a bill for the emitted carbon dioxide by playing the signal role of the price, so that the production, consumption and investment are guided to be transformed to a low carbon direction, and the coordinated development of coping with climate change and economic society is realized;
however, in the prior art, the stability of the carbon trading market cannot be analyzed, so that the market risk cannot be predicted; meanwhile, fluctuation analysis cannot be performed according to the real-time carbon transaction price, so that the carbon transaction price has risks and cannot be adjusted in time, the efficiency of carbon transaction is reduced, and the management and control difficulty is increased; in addition, transaction analysis cannot be performed on each area, resulting in a decrease in the accuracy of carbon transaction analysis;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to provide a distributed carbon trading price adjusting system based on a virtual power plant platform, judge the stability of a carbon trading market, predict the risk of the carbon trading market and improve the management and control efficiency of the carbon trading market; fluctuation analysis is carried out according to price monitoring, the risk of carbon trading price fluctuation is judged, corresponding risks are classified into different grades, the current situation of a carbon trading market can be accurately judged through the risks in different grades, meanwhile, accurate adjustment can be timely made, and market control cost is reduced while market stability is achieved; adjusting the price according to the carbon transaction price analysis; the extreme risk of carbon trading price due to overhigh price is prevented, the carbon trading system is prevented from losing significance due to overlow price, and the carbon emission control function cannot be realized; and judging the transaction condition of each sub-area, and analyzing the actual state of the carbon transaction, thereby improving the accuracy of carbon transaction analysis and facilitating the management and control of the carbon transaction.
The purpose of the invention can be realized by the following technical scheme:
the distributed carbon trading price adjusting system based on the virtual power plant platform comprises a market analysis platform and a regional analysis platform, wherein a server is arranged in the market analysis platform, the server is in communication connection with a stability analysis unit and a fluctuation analysis unit, a controller is arranged in the regional analysis platform, and the controller is in communication connection with a trading analysis unit, a discharge analysis unit and a database;
the market analysis platform is used for analyzing the carbon trading market, the server generates a stability analysis signal and sends the stability analysis signal to the stability analysis unit, and the stability analysis unit is used for collecting and analyzing the influence factors of the carbon trading market; the server generates a fluctuation analysis signal and sends the fluctuation analysis signal to a fluctuation analysis unit, the fluctuation analysis unit is used for monitoring the price corresponding to the carbon transaction, carrying out fluctuation analysis according to price monitoring, judging the risk of price fluctuation of the carbon transaction, and dividing the corresponding risk into different grades;
the regional analysis platform is used for analyzing regional carbon transactions, acquiring an analysis region, dividing the analysis region into i sub-analysis regions, wherein i is a natural number greater than 1, sending the i sub-analysis regions to the controller, generating transaction analysis signals and sending the transaction analysis signals to the transaction analysis unit after the controller receives the sub-analysis regions, and the transaction analysis unit is used for analyzing the transactions of the sub-analysis regions and judging the transaction conditions of the sub-regions; the controller generates an emission analysis signal and sends the emission analysis signal to the emission analysis unit, and the emission analysis unit is used for analyzing the carbon emission of each sub-analysis area and analyzing whether the carbon emission of each sub-analysis area exceeds the standard or not, so that whether the carbon emission is slowed down by carbon transaction or not is judged.
Further, the analysis process of the stability analysis unit is as follows:
collecting real-time coal price and real-time coal price floating value, and respectively marking the real-time coal price and the real-time coal price floating value as MTJ and MJF; acquiring the output value of the real-time power enterprise and the output value increase value of the corresponding power enterprise, and respectively marking the output value of the real-time power enterprise and the output value increase value of the corresponding power enterprise as DCZ and DZZ; obtaining a carbon transaction stability analysis coefficient X through analysis;
comparing the carbon transaction stability analysis coefficient X to a carbon transaction stability analysis coefficient threshold:
if the carbon transaction stability analysis coefficient X is larger than or equal to the carbon transaction stability analysis coefficient threshold, judging that the carbon transaction market stability is abnormal, generating a stability abnormal signal and sending the stability abnormal signal to a server;
and if the carbon transaction stability analysis coefficient X is smaller than the carbon transaction stability analysis coefficient threshold value, judging that the carbon transaction market stability is normal, generating a normal stability signal and sending the normal stability signal to the server.
Further, the analysis process of the fluctuation analysis unit is as follows:
collecting corresponding trading prices in a carbon trading market, marking the trading prices as carbon trading prices, monitoring the carbon trading prices in real time, collecting the carbon trading prices and carbon trading price floating values in real time, marking the carbon trading prices and the carbon trading price floating values as TJ and JF respectively, and carrying out fluctuation analysis according to the floating trend of the carbon trading prices;
when the floating trend of the carbon transaction price is an increasing trend, if the real-time carbon transaction price is larger than the threshold range of the carbon transaction price and the floating value of the carbon transaction price is larger than the threshold range of the price floating value, generating a forward high-risk signal and sending the forward high-risk signal to a server;
if the real-time carbon transaction price is within the carbon transaction price threshold range and the carbon transaction price floating value is larger than the price floating value threshold range, generating a forward low risk signal and sending the forward low risk signal to the server;
when the floating trend of the carbon transaction price is a flat trend, if the real-time carbon transaction price is in the threshold range of the carbon transaction price and the floating value of the carbon transaction price is in the threshold range of the floating value of the price, generating a risk-free signal and sending the risk-free signal to a server;
when the floating trend of the carbon transaction price is a decreasing trend, if the real-time carbon transaction price is smaller than the threshold range of the carbon transaction price and the floating value of the carbon transaction price is smaller than the threshold range of the price floating value, generating a negative high-risk signal and sending the negative high-risk signal to a server;
and if the real-time carbon transaction price is within the carbon transaction price threshold range and the carbon transaction price floating value is smaller than the price floating value threshold range, generating a negative low-risk signal and sending the negative low-risk signal to the server.
Further, the analysis process of the transaction analysis unit is as follows:
acquiring the average daily transaction amount of the enterprises corresponding to each sub-analysis area, and marking the average daily transaction amount of the enterprises corresponding to each sub-analysis area as PJJi; acquiring the maximum difference value of the weekly transaction amount of the enterprises corresponding to each sub-analysis region, and marking the maximum difference value of the weekly transaction total amount of the enterprises corresponding to each sub-analysis region as JYLI;
comparing the maximum difference between the average daily transaction amount of the enterprises corresponding to each sub-analysis area and the weekly transaction total amount of the corresponding enterprises with a transaction amount threshold and a weekly transaction total amount difference threshold respectively:
if the average daily transaction amount of the enterprise corresponding to the sub-analysis area is larger than the transaction amount threshold value, and the maximum difference value of the weekly transaction total amount of the enterprise corresponding to the sub-analysis area is smaller than the weekly transaction total amount difference value threshold value, judging that the carbon transaction of the corresponding sub-analysis area is qualified, generating a carbon transaction qualified signal, marking the corresponding sub-analysis area as a carbon transaction qualified sub-area, and sending the carbon transaction qualified signal and the carbon transaction qualified sub-area to a database for storage;
if the average daily transaction amount of the enterprise corresponding to the sub-analysis area is larger than the transaction amount threshold value, and the maximum difference value of the weekly transaction total amount of the enterprise corresponding to the sub-analysis area is larger than the weekly transaction total amount difference threshold value, judging that the carbon transaction resource of the corresponding sub-analysis area inclines, generating a carbon transaction resource inclination signal, marking the corresponding sub-analysis area as a resource inclination sub-area, and sending the carbon transaction resource inclination signal and the resource inclination sub-area to a database for storage;
if the average daily transaction amount of the enterprise corresponding to the sub-analysis area is smaller than the transaction amount threshold value, and the maximum difference value of the weekly transaction total amount of the enterprise corresponding to the sub-analysis area is smaller than the weekly transaction total amount difference threshold value, judging that the carbon transaction resources in the corresponding sub-analysis area are deficient, generating a carbon transaction resource deficiency signal, marking the corresponding sub-analysis area as a carbon transaction resource deficiency sub-area, and sending the carbon transaction resource deficiency signal and the carbon transaction resource deficiency sub-area to a database for storage.
Further, the analysis process of the emission analysis unit is as follows:
collecting the total carbon emission and the floating value of the total carbon emission of each sub-analysis area, and respectively marking the total carbon emission and the floating value of the total carbon emission of each sub-analysis area as PFi and FDi;
when the carbon emission is continuously increased and the total carbon emission and the floating value of the total carbon emission in the sub-analysis area are both larger than the corresponding threshold values, judging that the carbon emission exceeds the standard and a carbon emission peak value does not appear, generating a carbon emission exceeding signal and sending the carbon emission exceeding signal to a controller;
when the carbon emission amount is stable fluctuation and the total carbon emission amount of the sub-analysis area and the floating value of the total carbon emission amount are smaller than the corresponding threshold values, judging that the carbon emission has a peak value, generating a stable carbon emission signal and sending the stable carbon emission signal and the corresponding sub-analysis area to a database for storage;
when the carbon emission is continuously reduced and the total carbon emission of the sub-analysis areas and the floating value of the total carbon emission are smaller than the corresponding threshold values, the carbon emission is judged not to exceed the standard and a peak value appears, a carbon emission qualified signal is generated, and the carbon emission qualified signal and the corresponding sub-analysis areas are sent to a database for storage.
Compared with the prior art, the invention has the beneficial effects that:
according to the method, the stability of the carbon trading market is judged, the risk of the carbon trading market is predicted, and the control efficiency of the carbon trading market is improved; fluctuation analysis is carried out according to price monitoring, the risk of carbon trading price fluctuation is judged, corresponding risks are classified into different grades, the current situation of a carbon trading market can be accurately judged through the risks in different grades, meanwhile, accurate adjustment can be timely made, and market control cost is reduced while market stability is achieved; adjusting the price according to the carbon transaction price analysis; the extreme risk of carbon trading price due to overhigh price is prevented, the carbon trading system is prevented from losing significance due to overlow price, and the carbon emission control function cannot be realized; the transaction condition of each subarea is judged, and the actual state of the carbon transaction is analyzed, so that the accuracy of carbon transaction analysis is improved, and the carbon transaction is conveniently controlled; and analyzing whether the carbon emission of each sub-analysis area exceeds the standard or not, so as to judge whether the carbon transaction has a slowing effect on the carbon emission or not, and analyzing the operation efficiency of the carbon transaction and the control effect of the carbon emission.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the distributed carbon trading price adjusting system based on the virtual power plant platform comprises a market analysis platform and a regional analysis platform, wherein a server is arranged in the market analysis platform, the server is in communication connection with a stability analysis unit and a fluctuation analysis unit, a controller is arranged in the regional analysis platform, and the controller is in communication connection with a trading analysis unit, a discharge analysis unit and a database;
the market analysis platform is used for carrying out the analysis to the carbon trading market, the server generates stability analysis signal and sends stability analysis signal to stability analysis unit, stability analysis unit is used for gathering and analyzing the influence factor in carbon trading market, judge the stability in carbon trading market, predict the risk in carbon trading market, the management and control efficiency to carbon trading market has been improved, the influence factor in carbon trading market includes factors such as coal and electric power enterprise's development, specific analytic process is as follows:
collecting real-time coal price and real-time coal price floating value, and respectively marking the real-time coal price and the real-time coal price floating value as MTJ and MJF; acquiring the output value of the real-time power enterprise and the output value increase value of the corresponding power enterprise, and respectively marking the output value of the real-time power enterprise and the output value increase value of the corresponding power enterprise as DCZ and DZZ; by the formula
Acquiring a carbon transaction stability analysis coefficient X, wherein a1, a2, a3 and a4 are all preset proportional coefficients, a1 is more than a2 is more than a3 is more than a4 is more than 0, and beta is an error correction factor and takes the value of 1.203; the carbon transaction stability analysis coefficient is a numerical value for judging the carbon transaction stability obtained by normalizing the parameters of the carbon transaction influence factors; the larger the real-time coal price and the real-time coal price floating value are obtained through a formula, and the larger the output value of a real-time power enterprise and the output value growth value of a corresponding power enterprise are, the larger the carbon transaction stability analysis coefficient is, and the worse the carbon transaction stability is represented;
comparing the carbon transaction stability analysis coefficient X to a carbon transaction stability analysis coefficient threshold:
if the carbon transaction stability analysis coefficient X is larger than or equal to the carbon transaction stability analysis coefficient threshold, judging that the carbon transaction market stability is abnormal, generating a stability abnormal signal and sending the stability abnormal signal to a server;
if the carbon transaction stability analysis coefficient X is smaller than the carbon transaction stability analysis coefficient threshold value, judging that the carbon transaction market stability is normal, generating a normal stability signal and sending the normal stability signal to the server;
after the server receives stable abnormal signal, generate the fluctuation analysis signal and with fluctuation analysis signal transmission to fluctuation analysis unit, fluctuation analysis unit is used for monitoring the corresponding price of carbon transaction, and carry out fluctuation analysis according to the price monitoring, judge the risk that carbon transaction price floated, and divide different grades with corresponding risk, the current situation in carbon transaction market can accurately be judged through the risk of different grades, accurate adjustment can be made in time simultaneously, market control cost has been reduced when accomplishing market stability, concrete analytic process is as follows:
collecting corresponding trading prices in a carbon trading market, marking the trading prices as carbon trading prices, monitoring the carbon trading prices in real time, collecting the carbon trading prices and carbon trading price floating values in real time, marking the carbon trading prices and the carbon trading price floating values as TJ and JF respectively, and carrying out fluctuation analysis according to the floating trend of the carbon trading prices;
when the floating trend of the carbon transaction price is an increasing trend, if the real-time carbon transaction price is larger than the threshold range of the carbon transaction price and the floating value of the carbon transaction price is larger than the threshold range of the price floating value, generating a forward high-risk signal and sending the forward high-risk signal to a server; the server generates a down-regulation instruction and effectively takes emergency measures in time to down-regulate the carbon transaction price, so that extreme risks of the carbon transaction price are avoided;
if the real-time carbon transaction price is within the carbon transaction price threshold range and the carbon transaction price floating value is larger than the price floating value threshold range, generating a forward low risk signal and sending the forward low risk signal to the server; the server generates a growth factor analysis instruction and focuses on tracking and paying attention to understand the reason for generating the carbon transaction price risk in detail, controls the spread of the risk from the source and prevents the carbon transaction price risk from being continuously conducted to increase the control difficulty of the carbon transaction;
when the floating trend of the carbon transaction price is a flat trend, if the real-time carbon transaction price is in the threshold range of the carbon transaction price and the floating value of the carbon transaction price is in the threshold range of the floating value of the price, generating a risk-free signal and sending the risk-free signal to a server;
when the floating trend of the carbon transaction price is a decreasing trend, if the real-time carbon transaction price is smaller than the threshold range of the carbon transaction price and the floating value of the carbon transaction price is smaller than the threshold range of the price floating value, generating a negative high-risk signal and sending the negative high-risk signal to a server; the server generates a price up-regulation signal and increases the carbon trading price, so that the carbon trading price is prevented from further falling down and losing the value, the carbon trading system is prevented from losing significance, and the carbon emission control function cannot be realized;
if the real-time carbon transaction price is within the carbon transaction price threshold range and the carbon transaction price floating value is smaller than the price floating value threshold range, generating a negative low-risk signal and sending the negative low-risk signal to the server; the server generates a price adjustment instruction, adopts a policy to stimulate the requirements of enterprises and investors on carbon emission right quotas, and utilizes the requirements to pull consumption, so that the carbon transaction price is improved; the carbon trading price is prevented from being continuously reduced, so that the carbon trading system cannot be operated and the carbon emission cannot be controlled;
the area analysis platform is used for analyzing the area carbon transaction, the analysis area is collected, the analysis area is divided into i sub-analysis areas, i is a natural number larger than 1, the i sub-analysis areas are sent to the controller, the controller receives the sub-analysis areas, transaction analysis signals are generated and sent to the transaction analysis unit, the transaction analysis unit is used for performing transaction analysis on each sub-analysis area, the transaction condition of each sub-area is judged, the actual state of the carbon transaction is analyzed, the accuracy of the carbon transaction analysis is improved, the carbon transaction is conveniently controlled, and the specific analysis process is as follows:
acquiring the average daily transaction amount of the enterprises corresponding to each sub-analysis area, and marking the average daily transaction amount of the enterprises corresponding to each sub-analysis area as PJJi; acquiring the maximum difference value of the weekly transaction amount of the enterprises corresponding to each sub-analysis region, and marking the maximum difference value of the weekly transaction total amount of the enterprises corresponding to each sub-analysis region as JYLI;
comparing the maximum difference between the average daily transaction amount of the enterprises corresponding to each sub-analysis area and the weekly transaction total amount of the corresponding enterprises with a transaction amount threshold and a weekly transaction total amount difference threshold respectively:
if the average daily transaction amount of the enterprise corresponding to the sub-analysis area is larger than the transaction amount threshold value, and the maximum difference value of the weekly transaction total amount of the enterprise corresponding to the sub-analysis area is smaller than the weekly transaction total amount difference value threshold value, judging that the carbon transaction of the corresponding sub-analysis area is qualified, generating a carbon transaction qualified signal, marking the corresponding sub-analysis area as a carbon transaction qualified sub-area, and sending the carbon transaction qualified signal and the carbon transaction qualified sub-area to a database for storage;
if the average daily transaction amount of the enterprise corresponding to the sub-analysis area is larger than the transaction amount threshold value, and the maximum difference value of the weekly transaction total amount of the enterprise corresponding to the sub-analysis area is larger than the weekly transaction total amount difference threshold value, judging that the carbon transaction resource of the corresponding sub-analysis area inclines, generating a carbon transaction resource inclination signal, marking the corresponding sub-analysis area as a resource inclination sub-area, and sending the carbon transaction resource inclination signal and the resource inclination sub-area to a database for storage;
if the average daily transaction amount of the enterprise corresponding to the sub-analysis area is smaller than the transaction amount threshold value, and the maximum difference value of the weekly transaction total amount of the enterprise corresponding to the sub-analysis area is smaller than the weekly transaction total amount difference threshold value, judging that the carbon transaction resources in the corresponding sub-analysis area are deficient, generating a carbon transaction resource deficiency signal, marking the corresponding sub-analysis area as a carbon transaction resource deficiency sub-area, and sending the carbon transaction resource deficiency signal and the carbon transaction resource deficiency sub-area to a database for storage;
the controller generates an emission analysis signal and sends the emission analysis signal to the emission analysis unit, the emission analysis unit is used for analyzing the carbon emission of each sub-analysis area, and whether the carbon emission of each sub-analysis area exceeds the standard or not is analyzed, so that whether the carbon transaction has a slowing effect on the carbon emission or not is judged, the operation efficiency of the carbon transaction and the control effect of the carbon emission are analyzed, and the specific analysis process is as follows:
collecting the total carbon emission and the floating value of the total carbon emission of each sub-analysis area, and respectively marking the total carbon emission and the floating value of the total carbon emission of each sub-analysis area as PFi and FDi;
when the carbon emission is continuously increased, and the total carbon emission and the floating value of the total carbon emission of the sub-analysis area are both larger than the corresponding threshold values, the carbon emission is judged to be out of standard and a carbon emission peak value is not generated, a carbon emission out-of-standard signal is generated and sent to a controller, and the controller performs carbon transaction rectification on the sub-analysis area after receiving the carbon emission out-of-standard signal;
when the carbon emission amount is stable fluctuation and the total carbon emission amount of the sub-analysis area and the floating value of the total carbon emission amount are smaller than the corresponding threshold values, judging that the carbon emission has a peak value, generating a stable carbon emission signal and sending the stable carbon emission signal and the corresponding sub-analysis area to a database for storage; the carbon emission has a peak value but the carbon emission is unstable, and the overproof phenomenon exists, which is expressed as a starting stage for inhibiting the carbon emission in the carbon transaction;
when the carbon emission is continuously reduced, and the total carbon emission and the floating value of the total carbon emission of the sub-analysis area are both smaller than the corresponding threshold values, the carbon emission is judged not to exceed the standard and a peak value appears, a carbon emission qualified signal is generated, the carbon emission qualified signal and the corresponding sub-analysis area are sent to a database for storage, and the carbon emission does not exceed the standard and the peak value appears to indicate that the carbon emission is effectively inhibited from exceeding the standard for carbon transaction.
The working principle of the invention is as follows: when the distributed carbon trading price adjusting system based on the virtual power plant platform works, the carbon trading market is analyzed through the market analysis platform, the server generates a stability analysis signal and sends the stability analysis signal to the stability analysis unit, and influence factors of the carbon trading market are collected and analyzed through the stability analysis unit; the server generates a fluctuation analysis signal and sends the fluctuation analysis signal to a fluctuation analysis unit, the fluctuation analysis unit is used for monitoring the price corresponding to the carbon transaction, carrying out fluctuation analysis according to price monitoring, judging the risk of price fluctuation of the carbon transaction, and dividing the corresponding risk into different grades; analyzing regional carbon transactions through a regional analysis platform, acquiring an analysis region, dividing the analysis region into i sub-analysis regions, sending the i sub-analysis regions to a controller, generating transaction analysis signals and sending the transaction analysis signals to a transaction analysis unit after the controller receives the sub-analysis regions, performing transaction analysis on each sub-analysis region through the transaction analysis unit, and judging the transaction condition of each sub-region; the controller generates an emission analysis signal and sends the emission analysis signal to the emission analysis unit, the emission analysis unit analyzes the carbon emission of each sub-analysis area, and whether the carbon emission of each sub-analysis area exceeds the standard or not is analyzed, so that whether the carbon emission is slowed down by carbon transaction or not is judged.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (5)
1. The distributed carbon trading price adjusting system based on the virtual power plant platform is characterized by comprising a market analysis platform and a regional analysis platform, wherein a server is arranged in the market analysis platform, the server is in communication connection with a stability analysis unit and a fluctuation analysis unit, a controller is arranged in the regional analysis platform, and the controller is in communication connection with a trading analysis unit, a discharge analysis unit and a database;
the market analysis platform is used for analyzing the carbon trading market, the server generates a stability analysis signal and sends the stability analysis signal to the stability analysis unit, and the stability analysis unit is used for collecting and analyzing the influence factors of the carbon trading market; the server generates a fluctuation analysis signal and sends the fluctuation analysis signal to a fluctuation analysis unit, the fluctuation analysis unit is used for monitoring the price corresponding to the carbon transaction, carrying out fluctuation analysis according to price monitoring, judging the risk of price fluctuation of the carbon transaction, and dividing the corresponding risk into different grades;
the regional analysis platform is used for analyzing regional carbon transactions, acquiring an analysis region, dividing the analysis region into i sub-analysis regions, wherein i is a natural number greater than 1, sending the i sub-analysis regions to the controller, generating transaction analysis signals and sending the transaction analysis signals to the transaction analysis unit after the controller receives the sub-analysis regions, and the transaction analysis unit is used for analyzing the transactions of the sub-analysis regions and judging the transaction conditions of the sub-regions; the controller generates an emission analysis signal and sends the emission analysis signal to the emission analysis unit, and the emission analysis unit is used for analyzing the carbon emission of each sub-analysis area and analyzing whether the carbon emission of each sub-analysis area exceeds the standard or not, so that whether the carbon emission is slowed down by carbon transaction or not is judged.
2. The virtual power plant platform-based distributed carbon trading price adjustment system of claim 1, wherein the stability analysis unit is configured to analyze the following:
collecting real-time coal price and real-time coal price floating value, and respectively marking the real-time coal price and the real-time coal price floating value as MTJ and MJF; acquiring the output value of the real-time power enterprise and the output value increase value of the corresponding power enterprise, and respectively marking the output value of the real-time power enterprise and the output value increase value of the corresponding power enterprise as DCZ and DZZ; obtaining a carbon transaction stability analysis coefficient X through analysis;
comparing the carbon transaction stability analysis coefficient X to a carbon transaction stability analysis coefficient threshold:
if the carbon transaction stability analysis coefficient X is larger than or equal to the carbon transaction stability analysis coefficient threshold, judging that the carbon transaction market stability is abnormal, generating a stability abnormal signal and sending the stability abnormal signal to a server;
and if the carbon transaction stability analysis coefficient X is smaller than the carbon transaction stability analysis coefficient threshold value, judging that the carbon transaction market stability is normal, generating a normal stability signal and sending the normal stability signal to the server.
3. The virtual power plant platform-based distributed carbon trading price adjustment system of claim 1, wherein the analysis process of the fluctuation analysis unit is as follows:
collecting corresponding trading prices in a carbon trading market, marking the trading prices as carbon trading prices, monitoring the carbon trading prices in real time, collecting the carbon trading prices and carbon trading price floating values in real time, marking the carbon trading prices and the carbon trading price floating values as TJ and JF respectively, and carrying out fluctuation analysis according to the floating trend of the carbon trading prices;
when the floating trend of the carbon transaction price is an increasing trend, if the real-time carbon transaction price is larger than the threshold range of the carbon transaction price and the floating value of the carbon transaction price is larger than the threshold range of the price floating value, generating a forward high-risk signal and sending the forward high-risk signal to a server;
if the real-time carbon transaction price is within the carbon transaction price threshold range and the carbon transaction price floating value is larger than the price floating value threshold range, generating a forward low risk signal and sending the forward low risk signal to the server;
when the floating trend of the carbon transaction price is a flat trend, if the real-time carbon transaction price is in the threshold range of the carbon transaction price and the floating value of the carbon transaction price is in the threshold range of the floating value of the price, generating a risk-free signal and sending the risk-free signal to a server;
when the floating trend of the carbon transaction price is a decreasing trend, if the real-time carbon transaction price is smaller than the threshold range of the carbon transaction price and the floating value of the carbon transaction price is smaller than the threshold range of the price floating value, generating a negative high-risk signal and sending the negative high-risk signal to a server;
and if the real-time carbon transaction price is within the carbon transaction price threshold range and the carbon transaction price floating value is smaller than the price floating value threshold range, generating a negative low-risk signal and sending the negative low-risk signal to the server.
4. The virtual power plant platform-based distributed carbon trading price adjustment system of claim 1, wherein the analysis process of the trading analysis unit is as follows:
acquiring the average daily transaction amount of the enterprises corresponding to each sub-analysis area, and marking the average daily transaction amount of the enterprises corresponding to each sub-analysis area as PJJi; acquiring the maximum difference value of the weekly transaction amount of the enterprises corresponding to each sub-analysis region, and marking the maximum difference value of the weekly transaction total amount of the enterprises corresponding to each sub-analysis region as JYLI;
comparing the maximum difference between the average daily transaction amount of the enterprises corresponding to each sub-analysis area and the weekly transaction total amount of the corresponding enterprises with a transaction amount threshold and a weekly transaction total amount difference threshold respectively:
if the average daily transaction amount of the enterprise corresponding to the sub-analysis area is larger than the transaction amount threshold value, and the maximum difference value of the weekly transaction total amount of the enterprise corresponding to the sub-analysis area is smaller than the weekly transaction total amount difference value threshold value, judging that the carbon transaction of the corresponding sub-analysis area is qualified, generating a carbon transaction qualified signal, marking the corresponding sub-analysis area as a carbon transaction qualified sub-area, and sending the carbon transaction qualified signal and the carbon transaction qualified sub-area to a database for storage;
if the average daily transaction amount of the enterprise corresponding to the sub-analysis area is larger than the transaction amount threshold value, and the maximum difference value of the weekly transaction total amount of the enterprise corresponding to the sub-analysis area is larger than the weekly transaction total amount difference threshold value, judging that the carbon transaction resource of the corresponding sub-analysis area inclines, generating a carbon transaction resource inclination signal, marking the corresponding sub-analysis area as a resource inclination sub-area, and sending the carbon transaction resource inclination signal and the resource inclination sub-area to a database for storage;
if the average daily transaction amount of the enterprise corresponding to the sub-analysis area is smaller than the transaction amount threshold value, and the maximum difference value of the weekly transaction total amount of the enterprise corresponding to the sub-analysis area is smaller than the weekly transaction total amount difference threshold value, judging that the carbon transaction resources in the corresponding sub-analysis area are deficient, generating a carbon transaction resource deficiency signal, marking the corresponding sub-analysis area as a carbon transaction resource deficiency sub-area, and sending the carbon transaction resource deficiency signal and the carbon transaction resource deficiency sub-area to a database for storage.
5. The virtual power plant platform based distributed carbon trading price adjustment system of claim 1, wherein the analysis process of the emission analysis unit is as follows:
collecting the total carbon emission and the floating value of the total carbon emission of each sub-analysis area, and respectively marking the total carbon emission and the floating value of the total carbon emission of each sub-analysis area as PFi and FDi;
when the carbon emission is continuously increased and the total carbon emission and the floating value of the total carbon emission in the sub-analysis area are both larger than the corresponding threshold values, judging that the carbon emission exceeds the standard and a carbon emission peak value does not appear, generating a carbon emission exceeding signal and sending the carbon emission exceeding signal to a controller;
when the carbon emission amount is stable fluctuation and the total carbon emission amount of the sub-analysis area and the floating value of the total carbon emission amount are smaller than the corresponding threshold values, judging that the carbon emission has a peak value, generating a stable carbon emission signal and sending the stable carbon emission signal and the corresponding sub-analysis area to a database for storage;
when the carbon emission is continuously reduced and the total carbon emission of the sub-analysis areas and the floating value of the total carbon emission are smaller than the corresponding threshold values, the carbon emission is judged not to exceed the standard and a peak value appears, a carbon emission qualified signal is generated, and the carbon emission qualified signal and the corresponding sub-analysis areas are sent to a database for storage.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111267580.7A CN113888239A (en) | 2021-10-26 | 2021-10-26 | Distributed carbon trading price adjusting system based on virtual power plant platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111267580.7A CN113888239A (en) | 2021-10-26 | 2021-10-26 | Distributed carbon trading price adjusting system based on virtual power plant platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113888239A true CN113888239A (en) | 2022-01-04 |
Family
ID=79014281
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111267580.7A Pending CN113888239A (en) | 2021-10-26 | 2021-10-26 | Distributed carbon trading price adjusting system based on virtual power plant platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113888239A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114493436A (en) * | 2022-01-25 | 2022-05-13 | 山东新兴集团有限公司 | Intelligent logistics big data service platform for petrochemical industry |
| CN114493054A (en) * | 2022-04-18 | 2022-05-13 | 广东埃文低碳科技股份有限公司 | Carbon trading market intelligent analysis method and system based on big data |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109272405A (en) * | 2018-09-30 | 2019-01-25 | 大唐碳资产有限公司 | Carbon transaction in assets method and system |
| CN109978601A (en) * | 2019-02-25 | 2019-07-05 | 广东电力交易中心有限责任公司 | A method of long-term electricity market in assessment carbon emission quota original allocation influence |
| CN110415030A (en) * | 2019-07-22 | 2019-11-05 | 华北电力大学 | A kind of pricing method and calculating equipment of carbon emission power |
| CN110580374A (en) * | 2019-07-24 | 2019-12-17 | 国网浙江省电力有限公司经济技术研究院 | acquisition method of carbon emission right trading market equilibrium simulation system |
-
2021
- 2021-10-26 CN CN202111267580.7A patent/CN113888239A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109272405A (en) * | 2018-09-30 | 2019-01-25 | 大唐碳资产有限公司 | Carbon transaction in assets method and system |
| CN109978601A (en) * | 2019-02-25 | 2019-07-05 | 广东电力交易中心有限责任公司 | A method of long-term electricity market in assessment carbon emission quota original allocation influence |
| CN110415030A (en) * | 2019-07-22 | 2019-11-05 | 华北电力大学 | A kind of pricing method and calculating equipment of carbon emission power |
| CN110580374A (en) * | 2019-07-24 | 2019-12-17 | 国网浙江省电力有限公司经济技术研究院 | acquisition method of carbon emission right trading market equilibrium simulation system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114493436A (en) * | 2022-01-25 | 2022-05-13 | 山东新兴集团有限公司 | Intelligent logistics big data service platform for petrochemical industry |
| CN114493436B (en) * | 2022-01-25 | 2023-10-03 | 山东新兴集团有限公司 | Petrochemical industry wisdom commodity circulation big data service platform |
| CN114493054A (en) * | 2022-04-18 | 2022-05-13 | 广东埃文低碳科技股份有限公司 | Carbon trading market intelligent analysis method and system based on big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113888239A (en) | Distributed carbon trading price adjusting system based on virtual power plant platform | |
| CN109508853A (en) | Peak regulation ancillary service method of commerce and system between a kind of province | |
| CN103971173B (en) | Active distribution network substation capacity control method and system | |
| CN108173293A (en) | Meter and the new energy active power output maximum value on-line calculation method of operation of power networks constraint | |
| CN111080017A (en) | Electricity selling business integrated service system with electric quantity prediction function | |
| CN108054771A (en) | A kind of energy-storage system charge/discharge control method and system | |
| CN111509728B (en) | Optimal regulation and control method and system based on multi-source heterogeneous virtual load | |
| CN101764405A (en) | Multicycle and multidimensional integrated maintenance scheduling optimization and safety analysis method | |
| CN114879622B (en) | Industrial control log auditing system and method based on multi-source data | |
| CN115936868A (en) | Distributed photovoltaic power generation transaction risk assessment method and system based on data analysis | |
| CN115755614A (en) | Energy consumption optimization regulation and control method and device based on carbon emission monitoring | |
| CN113971589A (en) | Carbon emission right trading system based on virtual power plant platform | |
| CN115358519A (en) | Virtual power plant optimal scheduling method and device | |
| CN112531773B (en) | New energy power generation system and energy regulation and control method and device thereof | |
| CN111340257B (en) | Optimization method and system for maintenance plan of power transmission equipment based on risk analysis | |
| CN114012229A (en) | Intelligent control platform for resistance spot welding | |
| CN102789603B (en) | A kind ofly take into account the provincial scheduling active power adjustment method that load draws road model | |
| CN104517160A (en) | Novel electricity market prediction system and method based on capacity utilization characteristics | |
| CN112107977A (en) | Automatic pH value adjusting method, system and device based on desulfurization system | |
| Hirst et al. | Solutions to regulatory disincentives for utility DSM programmes | |
| Zhang | Data Analysis of Fiscal Expenditure and GDP Based on Financial Budget Performance Evaluation Indicators | |
| CN117674142B (en) | Power scheduling method and scheduling device based on time-sharing electric quantity accounting | |
| CN115051419B (en) | Power generation limitation judgment method and device, electronic equipment and storage medium | |
| CN117852743A (en) | Method, system, equipment and medium for calculating long-term marginal carbon dioxide emission rate | |
| CN115114983B (en) | Method for acquiring and analyzing electric quantity data based on big data equipment and computer system |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220104 |