CN112581173B - System for calculating consumption proportion and weighted electricity price - Google Patents
System for calculating consumption proportion and weighted electricity price Download PDFInfo
- Publication number
- CN112581173B CN112581173B CN202011514896.7A CN202011514896A CN112581173B CN 112581173 B CN112581173 B CN 112581173B CN 202011514896 A CN202011514896 A CN 202011514896A CN 112581173 B CN112581173 B CN 112581173B
- Authority
- CN
- China
- Prior art keywords
- electricity
- electricity price
- consumption
- power consumption
- month
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000005611 electricity Effects 0.000 title claims abstract description 534
- 238000004364 calculation method Methods 0.000 claims abstract description 75
- 238000004519 manufacturing process Methods 0.000 claims abstract description 11
- 238000010248 power generation Methods 0.000 claims description 46
- 238000012795 verification Methods 0.000 claims description 21
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 claims description 7
- 238000012790 confirmation Methods 0.000 claims description 3
- 238000003860 storage Methods 0.000 claims description 3
- 230000003203 everyday effect Effects 0.000 claims description 2
- 230000000875 corresponding effect Effects 0.000 description 57
- 238000000034 method Methods 0.000 description 7
- 230000009471 action Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000002354 daily effect Effects 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000002860 competitive effect Effects 0.000 description 1
- 230000002079 cooperative effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 238000006467 substitution reaction Methods 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- 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)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Finance (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Data Mining & Analysis (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a consumption proportion and weighted electricity price measuring and calculating system, which comprises an electricity price strategy selection module, an electricity price information acquisition module, an electricity utilization condition selection module, an electricity consumption calculation module, a consumption proportion calculation module, an electricity price calculation module and a database, wherein the electricity price strategy selection module is used for confirming whether an electricity utilization strategy selected by a user is a fixed electricity price or a peak-valley flat electricity price, the electricity price information acquisition module can inquire electricity price information under the corresponding condition of the area in the database, the electricity utilization condition selection module selects the electricity utilization condition according to the electricity utilization property of the user and the production condition of holidays, the electricity consumption calculation module counts the electricity consumption condition, the consumption proportion calculation module is used for calculating the consumption proportion of each month, the electricity price calculation module of each month is used for calculating the electricity utilization charge of the user, the invention not only can save human resources, the calculation time can also be shortened and calculation errors can be avoided.
Description
Technical Field
The invention relates to the technical field of power management, in particular to a system for measuring and calculating a consumption proportion and a weighted electricity price.
Background
The electric power marketization is to relax and control the electric power industry, privately control the property rights of the electric power industry, introduce competition, establish a competitive, open, standard and ordered electric power market, optimally configure electric power resources through a market mechanism, and achieve a market state with balanced supply and demand by using an electric price machine, so that the efficiency is improved, the electric price is reduced, and the social and economic development is promoted. At present, two common power utilization modes, namely fixed power price and peak-valley flat power price, exist in the power market, but a complete software measuring and calculating tool does not exist in the photovoltaic energy industry at present. Often, the measurement and calculation of a project takes more than one hour to calculate, which wastes human resources and sometimes may cause calculation errors.
In view of the above, a system for calculating a consumption ratio and a weighted electricity price is needed, which can save human resources, shorten calculation time, and avoid calculation errors.
Disclosure of Invention
The invention aims to provide a system for calculating the consumption proportion and the weighted electricity price, which aims to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a consumption proportion and weighted electricity price measuring and calculating system comprises an electricity price strategy selection module, an electricity price information acquisition module, an electricity utilization condition selection module, an electricity consumption calculation module, a consumption proportion calculation module, an electricity price calculation module and a database, wherein the electricity price strategy selection module is used for confirming whether an electricity utilization strategy selected by a user is a fixed electricity price or a peak-valley-average electricity price, the electricity price information acquisition module inquires electricity price information under the corresponding condition of a region in the database according to the electricity utilization property and the voltage grade selected by the user and feeds the electricity price information back to the electricity price information acquisition module, the electricity price information in the database is regularly updated according to official network information of all regions in the country, the electricity utilization condition selection module selects the electricity utilization condition according to the electricity utilization property of the user and the production condition of a holiday, the electricity consumption calculation module counts the electricity consumption according to the electricity utilization condition of the user, the consumption proportion calculation module is used for calculating the monthly power generation information of the user, then the monthly power consumption is used for removing the power generation amount to obtain the corresponding consumption proportion of the month, and the electricity price calculation module is used for calculating the corresponding fixed electricity price or peak-valley average electricity price of the user each month.
The monthly electricity consumption cost of the electricity consumption project can be rapidly calculated through information exchange between each module and the database, the fixed electricity price can be directly multiplied by the price of the fixed electricity price of the month to which the area belongs by the electricity consumption numerical value, the calculated result is the cost of the fixed electricity price of the month, the peak-valley flat electricity price needs to calculate the electricity consumption of each section of the month tip, the peak, the flat and the valley through the cooperative action of each module, then the prices corresponding to each section of the month to which the area belongs are respectively multiplied, and the calculated result is the cost of the fixed electricity price of the month.
Further, the electricity price information acquisition module is used for retrieving electricity price information under the condition corresponding to the region in the database, and if the electricity price is selected by the user in the electricity price strategy selection module to be fixed, the electricity price information acquired by the electricity price information acquisition module from the database comprises a fixed electricity price value, time and month; if the user selects the peak-valley flat electricity price in the electricity price strategy selection module, the electricity price information acquisition module needs to search the database according to the electricity type and the voltage grade further selected by the userThe electricity price information under the corresponding condition of the region is returned to the electricity price information acquisition module, the electricity price information of the peak-valley average electricity price acquired by the electricity price information acquisition module comprises electricity utilization type, voltage level, peak-valley average time section, affiliated position, month and electricity price value, the electricity utilization type comprises commercial electricity utilization and residential electricity utilization, the specific electricity price value of the peak-valley average electricity price can be correspondingly changed according to the difference of the electricity utilization type, the voltage level, the peak-valley average time section, the affiliated position and the month, and the electricity price information acquisition module automatically substitutes the acquired electricity price information into an electricity price verification formula
The a is an electricity utilization type coefficient, when the electricity utilization type is commercial electricity utilization, the value of the a is 5.4, when the electricity utilization type is residential electricity utilization, the value of the a is 5, the b is a voltage level, when the electricity utilization type is commercial electricity utilization, the value of the b is 380 volts, when the electricity utilization type is residential electricity utilization, the value of the b is 220 volts, the c is the number of times of obtaining electricity price information, the initial value of the c is 1, the value of the c is not more than 3, the m is the electricity price value in each section of the peak-valley level, the number of the m is four, and the m is the electricity price m in the peak electricity utilization1Electricity price m at peak time of electricity consumption2Electricity price m of using level valley3Electricity price m at the time of electricity consumption trough4Respectively mixing m with1、m2、m3、m4Substituting into an electricity price verification formula, wherein N is a preset electricity value, the value of N is 1.2, L is a preset electricity price maximum error value, the value of L is 0.6, when the value of H is larger than zero, the electricity price information acquisition module judges the value of c, if the value of c is smaller than or equal to 2, the electricity price information acquisition module adds 1 to the value of c and updates the database, meanwhile, the electricity price information acquisition module retrieves the electricity price information under the condition corresponding to the area in the database again and substitutes the electricity price with problems into the electricity price verification formula H again, when the value of c is equal to 3, the value of H is still larger than zero, the result is retained, the database is not updated, the electricity price information is stored into the database through the electricity price information acquisition module, and when the values of H are smaller than zero, the electricity price information is stored into the databaseThe electricity price information acquisition module stores the electricity price information acquired by the user in a database.
Monthly electricity price information of each region in the database can be crawled from each electricity price official website through a crawler technology to update the electricity price information of the database, or the database of the system can be updated through regular manual input.
Further, the electricity consumption situation selection module aims at the peak-valley average electricity price selected by the user in the electricity price strategy selection module, if the electricity price selected by the user in the electricity price strategy selection module is a fixed electricity price, the system does not jump to the electricity consumption situation selection module, the electricity consumption situation selection module needs the user to input the peak-valley average electricity price electricity quantity in one year of the project, the peak-valley average electricity price electricity quantity comprises 12 months, each month has 4 sections which are respectively a peak, a flat and a valley, and each month has a corresponding button for participating in calculation, the back end of the electricity consumption situation selection module can be split according to the electricity consumption input by the user, the electricity consumption splitting mode is that the electricity consumption is divided according to the daily half hour, one month is subdivided into 1440 sections, then the electricity consumption input by the user is evenly distributed into 1440 sections per month, and after the average distribution of the electricity consumption input by the user is completed, the electricity utilization condition selection module needs a user to select electricity utilization properties and production conditions of weekends, holidays and weekends, the electricity utilization properties comprise time periods and electricity consumption proportions, namely the electricity consumption proportions in the corresponding time periods are selected, the electricity consumption proportions are manually filled by the user, the electricity utilization proportion selection module can automatically sort the electricity utilization proportions according to the size, and then the sorted electricity utilization proportions are respectively substituted into an electricity utilization proportion verification formula
In (a), the k isnThe value range of n is 1 to 1438 for the value of the n-th sequenced electricity utilization ratio, S is an estimated error value of the electricity utilization ratio is 10, when the first 10 groups of values of G are all less than or equal to zero, the data are normal, and when the first 10 groups of values of G are greater than zero, the sequenced electricity utilization ratio is comparedThe maximum numerical value of the case is displayed by the electricity utilization condition selection module and confirmed by a client, if the client confirms that the data are normal, the electricity utilization ratio data are normal, if the client does not confirm, the corresponding interval of the electricity utilization ratio is skipped to modify, then the electricity utilization ratio is sorted and verified again until the electricity utilization ratio data are completely normal, and the production conditions of weekends and holidays, namely whether the weekends and holidays use electricity and the duration time, are judged, and the electricity utilization condition selection module uploads the electricity utilization condition data generated by the module to the database for storage.
The monthly power consumption is evenly distributed into 1440 sections, the more the divided sections are, the more accurate the corresponding judgment on the power consumption is, then the power consumption situation of the month is selected, namely the power consumption proportion of the corresponding time period, whether the weekend and holiday are powered and the duration time, the concentrated situation of the power consumption and the daily power consumption of each section can be accurately solved through the power consumption proportion of each section, whether the weekend and holiday are powered and the duration time take into account that some users are not powered on the weekend and holiday, and the sections corresponding to the days without power in the 1440 sections can be directly excluded, so the operation amount is greatly reduced.
Further, the power consumption calculation module acquires the power consumption condition information uploaded by the power condition selection module from the database, then, the production conditions of weekends and holidays in the power utilization condition information are judged, if the weekends and holidays do not use power, the back end of the power consumption calculating module deducts the power consumption corresponding to weekends and holidays, if the power consumption is used on weekends and holidays, the electricity consumption calculation module identifies corresponding intervals among 1440 intervals of the time period in the electricity consumption property, then multiplying the power consumption distributed in the corresponding interval by the power consumption proportion to obtain the power consumption of 1440 intervals in one month, the power consumption calculation module automatically matches 1440 sections of points, peaks, levels and valleys, adds the power consumption of each section in the section to which the power consumption calculation module belongs, counts the power consumption of each section of points, peaks, levels and valleys and the total power consumption of the month, and uploads the power consumption to the database through the power consumption calculation module.
The method divides one month into 1440 intervals according to time, then calculates the electricity consumption of each interval, namely, the electricity consumption which is averagely distributed in the corresponding interval is multiplied by the proportion of the electricity consumption to obtain the electricity consumption of the 1440 intervals in one month, for example, a user selects 18 of all the dates: 00-22: 00 is 150%, the power consumption calculating module will calculate the power consumption of 18: 00-22: and multiplying the power consumption of each section corresponding to 00 by 1.5, confirming the power consumption of each section, on one hand, improving the precision of the power consumption of the user, on the other hand, being beneficial to the division of the sections of the tip, the peak, the flat and the valley by the user, classifying the 1440 power consumption sections into the four sections of the tip, the peak, the flat and the valley through the time points corresponding to the sections of the tip, the peak, the flat and the valley, and summing the power consumption in the four sections to obtain the power consumption of the user in the four sections of the tip, the peak, the flat and the valley.
Furthermore, the consumption proportion calculation module needs to record power generation information, the power generation information includes the type, capacity, power generation data and consumption priority of power generation equipment, the power generation amount generated by the power generation equipment has two consumption modes, namely a full-use mode and a full-amount internet access mode, the two modes are selected, the confirmation of the consumption priority is completed, then the consumption proportion calculation module multiplies the power generation time by the power generation rate of the power generation equipment at the rear end, the total power generation amount of the power generation equipment in the month is calculated, then the consumption proportion calculation module searches a database to obtain the total power consumption amount of the month uploaded by the power consumption calculation module, and then the total power consumption amount of the month is removed from the total power generation amount of the month to obtain the corresponding consumption proportion of the month.
The invention inputs the type, capacity, power generation data and consumption priority of the power generation equipment, on one hand, the power generation equipment can be distinguished, and on the other hand, the total power generation amount of the power generation equipment per month can be rapidly and effectively calculated.
Further, the electricity price calculating module obtains the electricity consumption condition of the month and the corresponding electricity price information from the database, if the electricity strategy is a fixed electricity price, the fixed electricity price value in the electricity price information is directly multiplied by the total electricity consumption of the month to obtain the total electricity price of the month, if the electricity strategy is a peak-valley average electricity price and the consumption priority is full-amount internet access, the electricity consumption of each section of the month tip, peak, flat and valley is respectively multiplied by the electricity price corresponding to each section to obtain the electricity consumption of each section of the month tip, peak, flat and valley, finally the electricity consumption of each section is added to obtain the total electricity price of the month, if the electricity strategy is a peak-valley average electricity price and the consumption priority is full-amount self-consumption, the electricity consumption in the corresponding section is respectively subtracted from the electricity consumption in the 1440 intervals of the month, then the electricity consumption in each section of the month tip, peak, flat and valley is recalculated, and multiplying the electricity consumption of each section of the moon tip, the peak, the flat and the valley by the electricity price corresponding to each section to obtain the electricity consumption of each section of the moon tip, the peak, the flat and the valley, and finally adding the electricity consumption of each section.
The invention can judge the power utilization condition and the corresponding power price information which are obtained from the database, and simultaneously, the power utilization strategies are corresponding to different calculation formulas.
Compared with the prior art, the invention has the following beneficial effects: the method solves the problem that no complete software measuring and calculating tool exists in the photovoltaic energy industry, can save human resources, can greatly shorten the calculation time, and can avoid calculation errors.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the consumption rate and weighted electricity price estimation system of the present invention;
FIG. 2 is a schematic flow chart of a power rate information acquisition module of the system for calculating consumption rate and weighted power rate according to the present invention;
FIG. 3 is a schematic flow chart of a power consumption calculating module of the consumption ratio and weighted electricity price calculating system according to the present invention;
FIG. 4 is a schematic flow chart of the electricity price calculation module of the consumption ratio and weighted electricity price calculation system according to the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, the present invention provides a technical solution: a consumption proportion and weighted electricity price measuring and calculating system comprises an electricity price strategy selection module, an electricity price information acquisition module, an electricity utilization condition selection module, an electricity consumption calculation module, a consumption proportion calculation module, an electricity price calculation module and a database, wherein the electricity price strategy selection module is used for confirming whether an electricity utilization strategy selected by a user is a fixed electricity price or a peak-valley-average electricity price, the electricity price information acquisition module inquires electricity price information under the corresponding condition of a region in the database according to the electricity utilization property and the voltage grade selected by the user and feeds the electricity price information back to the electricity price information acquisition module, the electricity price information in the database is regularly updated according to official network information of all regions in the country, the electricity utilization condition selection module selects the electricity utilization condition according to the electricity utilization property of the user and the production condition of a holiday, the electricity consumption calculation module counts the electricity consumption according to the electricity utilization condition of the user, the consumption proportion calculation module is used for calculating the monthly power generation information of the user, then the monthly power consumption is used for removing the power generation amount to obtain the corresponding consumption proportion of the month, and the electricity price calculation module is used for calculating the monthly fixed electricity price or peak-valley-average electricity price of the user.
The electricity price information acquisition module is used for retrieving electricity price information under the condition corresponding to the region in the database, and if the user selects fixed electricity price in the electricity price strategy selection module, the electricity price information acquired from the database by the electricity price information acquisition module comprises a fixed electricity price value, time and month; if the user selects the peak-valley flat electricity price in the electricity price strategy selection module, the electricity price information acquisition module needs to further select the electricity type and the voltage grade according to the userThe method comprises the steps of searching electricity price information under the condition corresponding to the region in a database, returning the electricity price information to an electricity price information acquisition module, wherein the electricity price information of peak-valley flat electricity price acquired by the electricity price information acquisition module comprises electricity utilization types, voltage levels, peak-valley flat time sections, belonged positions, months and electricity price values, the electricity utilization types comprise commercial electricity utilization and residential electricity utilization, the specific electricity price value of the peak-valley flat electricity price can be changed correspondingly according to the difference of the electricity utilization types, the voltage levels, the peak-valley flat time sections, the belonged positions and the months, and the electricity price information acquisition module automatically substitutes the acquired electricity price information into an electricity price verification formula
The a is a power consumption type coefficient, the value of the a is 5.4 when the power consumption type is commercial power consumption, the value of the a is 5 when the power consumption type is residential power consumption,
b is a voltage level, and when the electricity consumption type is commercial electricity, the value of b is 380 volts, and when the electricity consumption type is residential electricity, the value of b is 220 volts,
c is the number of times of obtaining the electricity price information measured and calculated at this time, the initial value of c is 1, the value of c is not more than 3,
m is the electricity price value in each section with the peak-valley level, the number of m is four, and the m is the electricity price m when the electricity peak appears1Electricity price m at peak time of electricity consumption2Electricity price m of using level valley3Electricity price m at low electricity consumption4Respectively, m is1、m2、m3、m4Substituting into the electricity price verification formula,
the N is a preset electric value, the value of the N is 1.2,
the L is a preset maximum electricity price error value, the value of the L is 0.6,
when the value of H is larger than zero, the electricity price information acquisition module judges the value of c, if the value of c is smaller than or equal to 2, the electricity price information acquisition module adds 1 to the value of c and updates the database, meanwhile, the electricity price information acquisition module retrieves the electricity price information corresponding to the area in the database, replaces the electricity price with the problem in the electricity price verification formula H, if the value of c is equal to 3, the value of H is still larger than zero, the result is reserved, the database is not updated any more, the electricity price information is stored in the database through the electricity price information acquisition module, and when the values of H are smaller than zero, the electricity price information acquisition module stores the electricity price information acquired by the user in the database.
For example, peak-valley electricity price of the residents in Linyi city, electricity price m at peak electricity consumption11.45 yuan, and the electricity price m at the peak time of electricity consumption2Electricity price m of 1.36 yuan using level valley30.85 yuan, electricity price m at the time of electricity consumption valley4The number of the obtained electricity price information is 1, the voltage level b of the electricity consumption of the residents is 220V, the preset electricity value N is 1.2, the maximum error value L of the preset electricity price is 0.6, and m is calculated respectively1、m2、m3、m4Substitution of a, b, N and L
The values of H are 1.15, 0.96, -0.1 and-0.1 respectively,
then m is3、m4The electricity price verification result is less than zero, the electricity price verification condition is met,
m1、m2the electricity price verification result is larger than zero, the verification condition is not met, the electricity price information acquisition module judges the value of c, if the value of c is smaller than 2, the value of c is added by 1, the database is updated, meanwhile, the electricity price information acquisition module retrieves the peak valley electricity price of the electricity consumed by residents in near-Yi cities in the database again, and the electricity price m when the electricity is consumed in a peak state is used11.45 yuan, and the electricity price m at the peak time of electricity consumption2The electricity consumption type coefficient a of the residential electricity consumption is 5, the number of times c of obtaining electricity price information measured and calculated at this time is 2, the voltage level b of the residential electricity consumption is 220V, the preset electricity value N is 1.2, and the preset electricity price maximum error value L is 0.6 to be substituted into the electricity price information again
The values of H obtained are-0.33 and-0.42, respectively, then m1、m2The electricity price verification result is less than zero, the verification condition is met, and the electricity price information acquisition module can store the electricity price information acquired by the user into the database.
The electricity consumption condition selection module aims at the peak-valley average electricity price selected by the user in the electricity price strategy selection module, if the electricity price selected by the user in the electricity price strategy selection module is fixed electricity price, the system can not jump to the electricity consumption condition selection module, the electricity consumption condition selection module needs the user to input the peak-valley average electricity price electricity quantity in one year of the project, the peak-valley average electricity price electricity quantity comprises 12 months, each month has 4 sections which are respectively a peak, a flat and a valley, and each month has a corresponding button for participating in calculation, the back end of the electricity consumption condition selection module can be split according to the electricity consumption input by the user, the electricity consumption splitting mode is divided according to half an hour every day, one month is subdivided into 1440 sections, then the electricity consumption input by the user is averagely distributed into 1440 sections per month, and after the average distribution of the electricity consumption input by the user is completed, the electricity utilization condition selection module needs a user to select electricity utilization properties and production conditions of weekends, holidays and weekends, the electricity utilization properties comprise time periods and electricity consumption proportions, namely the electricity consumption proportions in the corresponding time periods are selected, the electricity consumption proportions are manually filled by the user, the electricity utilization condition selection module can automatically sort the electricity utilization proportions according to the size, and then the sorted electricity utilization proportions are respectively substituted into an electricity utilization proportion verification formula
In (a), the k isnThe value range of n is 1 to 1438, S is a power utilization ratio estimated error value, the power utilization ratio estimated error value S is 10, when the first 10 groups of values of G are all smaller than or equal to zero, the data are normal, when the first 10 groups of values of G are larger than zero, the maximum value of the sequenced power utilization ratio is displayed on a power utilization condition selection module and confirmed with a client, if the client confirms that the data are normal, the power utilization ratio data are normal, and if the client confirms that the data are not normal, the client jumps to the corresponding interval of the power utilization ratio to enter the corresponding interval of the power utilization ratioModifying the line, then sequencing and verifying the electricity utilization proportion again until the electricity utilization proportion data is completely normal,
e.g. the value K of the first three digits of the electricity proportion1Is 500%, K2Is 200% and K3At 180%, the estimated error S of electricity consumption ratio is 10, and K is calculated1、K2、K3The values of S and S are respectively substituted into a power consumption proportion verification formula
If the value of G is 5, namely the first 10 groups of values of G are larger than zero, displaying the maximum value of 500% of the sorted electricity utilization ratio on an electricity utilization condition selection module, confirming with a client, skipping to an interval with the electricity utilization ratio of 500% for modification if the maximum value is caused by user error, and then sorting and verifying the electricity utilization ratio again.
The power utilization condition selection module uploads the power utilization condition data generated by the module to a database for storage.
The power consumption calculation module acquires the power consumption condition information uploaded by the power consumption condition selection module from the database, then judges the production conditions of weekends and holidays in the power consumption condition information, if the weekends and the holidays do not use power, the rear end of the power consumption calculation module deducts the power consumption corresponding to the weekends and the holidays, if the weekends and the holidays use power, the power consumption calculation module identifies the corresponding intervals in 1440 intervals of the time period in the power consumption property, then multiplies the power consumption proportion by the power consumption evenly distributed in the corresponding intervals to obtain the power consumption of 1440 intervals in one month,
for example, the user input selects all dates 18: 00-22: 00 is 150%, the electricity consumption calculating module will calculate the ratio of 18: 00-22: the power usage of each section corresponding to 00 is multiplied by 1.5,
the power consumption calculation module automatically matches 1440 sections of points, peaks, levels and valleys, adds the power consumption of each section in the section to which the power consumption calculation module belongs, counts the power consumption of each section of points, peaks, levels and valleys and the total power consumption of the month, and uploads the power consumption to the database through the power consumption calculation module.
The consumption proportion calculation module needs to record power generation information firstly, the power generation information comprises the type, the capacity, the power generation data and the consumption priority of power generation equipment, the generated energy generated by the power generation equipment has two consumption modes, namely a full-use mode and a full-amount internet access mode, the two modes are selected, the confirmation of the consumption priority is completed, then the consumption proportion calculation module multiplies the power generation time by the power generation rate of the power generation equipment at the rear end to calculate the total generated energy of the power generation equipment in the month, then the consumption proportion calculation module searches a database to obtain the total power consumption of the month uploaded by the power consumption calculation module, and then the total power consumption of the month is removed from the total generated energy of the month to obtain the corresponding consumption proportion of the month.
The electricity price calculation module obtains the electricity consumption condition of the month and corresponding electricity price information from the database, if the electricity strategy is a fixed electricity price, the fixed electricity price value in the electricity price information is directly multiplied by the total electricity consumption of the month to obtain the total electricity price of the month, if the electricity strategy is a peak-valley flat electricity price and the consumption priority is full-amount internet surfing, the electricity consumption of each section of the month tip, peak, flat and valley is respectively multiplied by the electricity price corresponding to each section to obtain the electricity consumption of each section of the month tip, peak, flat and valley, finally the electricity consumption of each section is added to obtain the total electricity price of the month, if the electricity strategy is a peak-valley flat electricity price and the consumption priority is full-amount self-consumption, the electricity consumption in 1440 intervals in the month is respectively subtracted by the electricity generation amount in the corresponding sections, and then the electricity consumption in each section of the month tip, peak, flat and valley is recalculated, and multiplying the electricity consumption of each section of the moon tip, the peak, the flat and the valley by the electricity price corresponding to each section to obtain the electricity consumption of each section of the moon tip, the peak, the flat and the valley, and finally adding the electricity consumption of each section.
The working principle of the invention is as follows:
when a user selects the fixed electricity price in the electricity price strategy selection module, the electricity price information acquisition module acquires the fixed electricity price value of the time period to which the region belongs from the database, and then the electricity price calculation module directly multiplies the electricity consumption of the month by the fixed electricity price value to obtain the electricity consumption of the month;
when the user selects the peak-valley and average electricity price in the electricity price strategy selection module, the electricity price information acquisition module acquires the electricity price information under the corresponding condition of the area from the database according to the electricity consumption type and the voltage grade selected by the user, and then substitutes the acquired electricity price information into the electricity price verification formula
When the value of H is larger than zero, the electricity price information acquisition module judges the value of c, if the value of c is smaller than or equal to 2, the electricity price information acquisition module adds 1 to the value of c and updates the database, meanwhile, the electricity price information acquisition module retrieves the electricity price information corresponding to the area in the database, replaces the electricity price with the problem in the electricity price verification formula H, if the value of c is equal to 3, the value of H is still larger than zero, the result is reserved, the database is not updated any more, the electricity price information is stored in the database through the electricity price information acquisition module, and when the values of H are smaller than zero, the electricity price information acquisition module stores the electricity price information acquired by the user in the database.
Then the electricity utilization condition selection module needs a user to input peak-valley-level electricity price and quantity of electricity in a year of a project, then the electricity utilization condition selection module divides each corresponding month into four sections of a peak, a level and a valley, divides each month into 1440 intervals according to half an hour, averagely distributes monthly input electricity quantity to the 1440 intervals, then the user selects the electricity utilization ratio of the corresponding time period, and simultaneously selects whether electricity is used on weekends and holidays and duration, the electricity utilization condition selection module can automatically sort the electricity utilization ratio according to size, and then the sorted electricity utilization ratio is respectively substituted into an electricity utilization ratio verification formula
When the first 10 groups of values of G are all less than or equal to zero, the data are normal, when the first 10 groups of values of G are greater than zero, the maximum value of the sorted electricity utilization ratio is displayed on the electricity utilization condition selection module and confirmed with a client, if the client confirms that the data are normal, the electricity utilization ratio data are all normal, if the client denies, the client jumps to the corresponding interval of the electricity utilization ratio to modify, then the electricity utilization ratio is sorted again and verified until the electricity utilization ratio data are completely normal.
And then the power consumption calculation module calculates according to the specific data of the power consumption condition selection module, deducts the power consumption corresponding to weekends and holidays at the rear end of the power consumption calculation module if the weekends and holidays do not consume power, identifies the corresponding intervals in 1440 intervals in the power consumption property if the weekends and holidays consume power, multiplies the power consumption distributed by the corresponding intervals to obtain the power consumption of 1440 intervals in one month, divides the 1440 intervals into the affiliated tip, peak, flat and valley sections according to the specific time period condition, and automatically counts the total power consumption in the tip, peak, flat and valley sections and the total power consumption in the month and uploads the total power consumption to the database.
The consumption proportion calculation module can calculate the total power generation amount of the power generation equipment in the month according to the recorded power generation information, and then the consumption proportion calculation module can divide the total power consumption amount of the month by the total power generation amount of the month to obtain the corresponding consumption proportion of the month.
When the consumption priority is full internet access, the electricity price calculation module can obtain the electricity consumption condition of the month and the corresponding electricity price information from the database, then the electricity consumption of each section of the month tip, the peak, the average and the valley is multiplied by the electricity price corresponding to each section, and finally the electricity consumption of each section is added to obtain the total electricity consumption of the month.
When the consumption priority is all self-time, the electricity price calculation module subtracts the generated energy in the corresponding interval from the electricity consumption in the 1440 intervals, then counts the electricity consumption in each section of the month tip, the peak, the flat and the valley again, multiplies the electricity consumption in each section of the month tip, the peak, the flat and the valley by the electricity price corresponding to each section to obtain the electricity consumption cost of each section of the month tip, the peak, the flat and the valley, and finally adds the electricity consumption cost of each section.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A consumption proportion and weighted electricity price measuring and calculating system is characterized in that: comprises an electricity price strategy selection module, an electricity price information acquisition module, an electricity utilization condition selection module, an electricity consumption calculation module, a consumption proportion calculation module, an electricity price calculation module and a database,
the electricity price strategy selection module is used for confirming whether the electricity strategy selected by the user is a fixed electricity price or a peak-valley flat electricity price,
the electricity price information acquisition module inquires electricity price information under the corresponding condition of the region in a database according to the electricity consumption property and the voltage grade selected by the user and feeds the electricity price information back to the electricity price information acquisition module, the electricity price information in the database is regularly updated according to official network information of all parts of the country,
the electricity utilization condition selection module selects the electricity utilization condition according to the electricity utilization property of the user and the production condition of holidays,
the electricity consumption calculating module counts the electricity consumption according to the electricity consumption condition of the user,
the consumption proportion calculation module firstly counts the monthly power generation information of the user, then uses the monthly power consumption to remove the power generation amount to obtain the corresponding consumption proportion of the month,
the electricity price calculation module is used for calculating the fixed electricity price or the peak-valley average electricity price corresponding to the user every month;
the electricity price information acquisition module is used for retrieving electricity price information under the condition corresponding to the region in the database, and if the user selects fixed electricity price in the electricity price strategy selection module, the electricity price information acquired from the database by the electricity price information acquisition module comprises a fixed electricity price value, time and month;
if the user selects the peak-valley flat electricity price in the electricity price strategy selection module, the electricity price information acquisition module needs to search electricity price information corresponding to the region in the database according to the electricity utilization type and the voltage grade further selected by the user and return the electricity price information to the electricity price information acquisition module, the electricity price information of the peak-valley flat electricity price acquired by the electricity price information acquisition module comprises the electricity utilization type, the voltage grade, the peak-valley flat time section, the affiliated position, the month and the electricity price value, the electricity utilization type comprises the commercial electricity utilization and the residential electricity utilization, the specific electricity price value of the peak-valley flat electricity price can be correspondingly changed according to the difference of the electricity utilization type, the voltage grade, the peak-valley flat time section, the affiliated position and the month, and the electricity price information acquisition module automatically substitutes the acquired electricity price information into the electricity price verification formula
The a is a power consumption type coefficient, the value of the a is 5.4 when the power consumption type is commercial power consumption, the value of the a is 5 when the power consumption type is residential power consumption,
b is a voltage level, and when the electricity consumption type is commercial electricity, the value of b is 380 volts, and when the electricity consumption type is residential electricity, the value of b is 220 volts,
c is the number of times of obtaining the electricity price information measured and calculated at this time, the initial value of c is 1, the value of c is not more than 3,
m is the electricity price value in each section of the peak-valley level, four values of m are respectively the electricity price m when the peak of electricity consumption is used1Electricity price m at peak electricity consumption2Electricity price m of using level valley3Electricity price m at low electricity consumption4Respectively, m is1、m2、m3、m4Substituting into the electricity price verification formula,
the N is a preset electric value, the value of the N is 1.2,
the L is a preset maximum electricity price error value, the value of the L is 0.6,
when the value of H is larger than zero, the electricity price information acquisition module judges the value of c, if the value of c is smaller than or equal to 2, the electricity price information acquisition module adds 1 to the value of c and updates the database, meanwhile, the electricity price information acquisition module retrieves the electricity price information corresponding to the area in the database, replaces the electricity price with the problem in the electricity price verification formula H, if the value of c is equal to 3, the value of H is still larger than zero, the result is reserved, the database is not updated any more, the electricity price information is stored in the database through the electricity price information acquisition module, and when the values of H are smaller than zero, the electricity price information acquisition module stores the electricity price information acquired by the user in the database.
2. The system according to claim 1, wherein the system comprises: the electricity consumption condition selection module aims at the peak-valley flat electricity price selected by the user in the electricity price strategy selection module, if the user selects the fixed electricity price in the electricity price strategy selection module, the system cannot jump to the electricity consumption condition selection module,
the electricity consumption condition selection module needs a user to input peak-valley average electricity price electricity quantity of a project within one year, the peak-valley average electricity price electricity quantity comprises 12 months, each month has 4 sections which are respectively a tip, a peak, a level and a valley, each month has a corresponding button for participating in calculation,
the power consumption condition selection module rear end can be split according to the power consumption of user input, power consumption split mode is according to dividing half an hour every day, subdivides a month to 1440 district sections, then with the power consumption average allocation of user input in 1440 intervals of every month, after the power consumption average allocation of user input was accomplished to the back, power consumption condition selection module needs the user to select the production condition of power consumption nature and weekend and holiday, the power consumption nature includes time quantum and power consumption proportion, selects the power consumption proportion in corresponding time quantum promptly, fill in by user's manual input during the electric quantity proportion, power consumption condition selection module can be automatic with the power consumption proportion according to the size and arrange in an order, then substitutes the power consumption proportion after will arranging respectively in
Formula for verifying electricity proportion
In (a), the k isnThe value range of n is 1 to 1438, S is the estimated error value of the electricity proportion, S is 10,
when the first 10 groups of values of G are all less than or equal to zero, the data are normal, when the first 10 groups of values of G are greater than zero, the maximum value of the sorted electricity utilization ratio is displayed on the electricity utilization condition selection module to be confirmed with a client, if the client confirms that the data are normal, the electricity utilization ratio data are normal, if the client does not confirm, the client jumps to the corresponding interval of the electricity utilization ratio to modify, then the electricity utilization ratio is sorted again and verified until the electricity utilization ratio data are completely normal,
the power utilization condition selection module uploads the power utilization condition data generated by the module to a database for storage.
3. The system according to claim 2, wherein the system further comprises: the power consumption calculation module acquires the power consumption condition information uploaded by the power consumption condition selection module from the database, then judges the production conditions of weekends and holidays in the power consumption condition information, if the weekends and the holidays do not use power, the rear end of the power consumption calculation module deducts the power consumption corresponding to the weekends and the holidays, if the weekends and the holidays use power, the power consumption calculation module identifies the corresponding intervals in 1440 intervals of the time period in the power consumption property, then multiplies the power consumption distributed in the corresponding intervals by the power consumption proportion to obtain the power consumption of 1440 intervals in one month,
the power consumption calculation module automatically matches 1440 sections of points, peaks, levels and valleys, adds the power consumption of each section in the section to which the power consumption calculation module belongs, counts the power consumption of each section of points, peaks, levels and valleys and the total power consumption of the month, and uploads the power consumption to the database through the power consumption calculation module.
4. A consumption rate and weighted electricity price estimation system according to claim 3, wherein: the consumption proportion calculation module needs to input power generation information firstly, the power generation information comprises the type and the capacity of power generation equipment, power generation data and consumption priority,
the generated energy generated by the generating equipment has two consumption modes, namely a full-use mode and a full-amount internet surfing mode, the two modes are selected to finish the confirmation of the consumption priority,
after the consumption priority is confirmed, the consumption proportion calculation module multiplies the power generation time by the power generation rate of the power generation equipment at the rear end to calculate the total power generation amount of the power generation equipment in the month, then the consumption proportion calculation module searches the database to obtain the total power consumption amount of the month uploaded by the power consumption calculation module, and then the total power consumption amount of the month is removed from the total power generation amount of the month to obtain the corresponding consumption proportion of the month.
5. The system according to claim 4, wherein the system comprises: the electricity price calculation module acquires the electricity consumption condition of the month and corresponding electricity price information from the database,
if the electricity price is fixed, the fixed electricity price value in the direct electricity price information is multiplied by the total electricity consumption of the month to obtain the total electricity expense of the month,
if the electricity utilization strategy is peak-valley-average electricity price and the consumption priority is full-amount internet access, the electricity consumption of each section of the month tip, the peak, the average and the valley is respectively multiplied by the electricity price corresponding to each section to obtain the electricity consumption of each section of the month tip, the peak, the average and the valley, and finally the electricity consumption of each section is added to obtain the total electricity consumption of the month,
if the electricity utilization strategy is peak-valley average electricity price and the consumption priority is total self-consumption, the electricity consumption in the 1440 intervals is subtracted by the electricity generation amount in the corresponding interval, then the electricity consumption in the sections of the moon peak, the average and the valley is counted again, the electricity consumption in the sections of the moon peak, the average and the valley is multiplied by the electricity price corresponding to the sections respectively to obtain the electricity utilization cost of the sections of the moon peak, the average and the valley, and finally the electricity utilization cost of the sections is added.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011514896.7A CN112581173B (en) | 2020-12-18 | 2020-12-18 | System for calculating consumption proportion and weighted electricity price |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011514896.7A CN112581173B (en) | 2020-12-18 | 2020-12-18 | System for calculating consumption proportion and weighted electricity price |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112581173A CN112581173A (en) | 2021-03-30 |
| CN112581173B true CN112581173B (en) | 2022-07-08 |
Family
ID=75136348
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011514896.7A Active CN112581173B (en) | 2020-12-18 | 2020-12-18 | System for calculating consumption proportion and weighted electricity price |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112581173B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113554268B (en) * | 2021-06-10 | 2024-03-15 | 合肥工业大学 | Method and system for selecting electricity utilization strategies in balanced peak-valley and light-heavy seasons |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109034911A (en) * | 2018-08-17 | 2018-12-18 | 云丁智能科技（北京）有限公司 | The method and device of the electricity charge amount of money is calculated based on time-of-use tariffs |
| CN110533303A (en) * | 2019-08-09 | 2019-12-03 | 山东泓奥电力科技有限公司 | A kind of ratio calculating appraisal procedure of generating power for their own use based on photovoltaic power station |
| CN110610294A (en) * | 2019-08-13 | 2019-12-24 | 浙江大学 | Electricity selling company electric quantity package design method considering user consumption psychology |
| CN111882455A (en) * | 2020-07-27 | 2020-11-03 | 广东电力交易中心有限责任公司 | Power package decision method and system for power retail market |
-
2020
- 2020-12-18 CN CN202011514896.7A patent/CN112581173B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109034911A (en) * | 2018-08-17 | 2018-12-18 | 云丁智能科技（北京）有限公司 | The method and device of the electricity charge amount of money is calculated based on time-of-use tariffs |
| CN110533303A (en) * | 2019-08-09 | 2019-12-03 | 山东泓奥电力科技有限公司 | A kind of ratio calculating appraisal procedure of generating power for their own use based on photovoltaic power station |
| CN110610294A (en) * | 2019-08-13 | 2019-12-24 | 浙江大学 | Electricity selling company electric quantity package design method considering user consumption psychology |
| CN111882455A (en) * | 2020-07-27 | 2020-11-03 | 广东电力交易中心有限责任公司 | Power package decision method and system for power retail market |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112581173A (en) | 2021-03-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Green et al. | Storing wind for a rainy day: What kind of electricity does Denmark export? | |
| CN107292488A (en) | User side distributed energy storage Valuation Method and system containing Optimal Operation Strategies | |
| CN107565585B (en) | Energy storage device peak regulation report-back time prediction technique and its model creation method | |
| CN109325676B (en) | Clean energy comprehensive power station site selection method based on GIS | |
| CN110781449B (en) | Estimation method for user data loss in distribution area line loss calculation | |
| CN112581173B (en) | System for calculating consumption proportion and weighted electricity price | |
| CN110838076A (en) | Monthly inter-provincial area renewable energy consumption method and terminal equipment | |
| CN115719149B (en) | Distributed photovoltaic distribution and storage method based on block chain | |
| CN116402307A (en) | Power grid planning capacity analysis method considering operation characteristics of schedulable flexible resources | |
| CN110048421A (en) | Capacity of energy storing device selection method and device | |
| CN116228461A (en) | P2P transaction-based multi-virtual power plant random optimization scheduling method | |
| CN112883588B (en) | Method, system and device for simulating sub-industry load curve | |
| CN111969598B (en) | User side energy storage optimization method and system considering excitation type demand side response | |
| CN115441494A (en) | Converter station capacity optimal configuration method and device based on flexible direct current interconnection system | |
| CN111079966B (en) | Generalized load space prediction method and system | |
| CN111144657A (en) | Multi-family energy optimization method for two parties for cooperative sale and use | |
| CN107292414A (en) | The resident's distribution online optimal selection method predicted based on peak-valley electric energy | |
| CN117273795B (en) | Industrial and commercial energy storage capacity configuration and profit measurement method and system | |
| Deng et al. | Energy management of price-maker community energy storage by analytical stochastic dynamic programming | |
| Ali et al. | Using meta-heuristic and numerical algorithm inspired by evolution differential equation and strawberry plant for demand side management in smart grid | |
| CN116187099B (en) | User side energy storage configuration method based on double-layer iteration | |
| JP7229002B2 (en) | Energy supply planning system and program | |
| CN115880068A (en) | Power processing method and device, computer readable storage medium and computer equipment | |
| CN118137500A (en) | Photovoltaic power generation prediction method and device | |
| CN115954863A (en) | Time-interval prediction method for construction of agent electricity purchasing quantity in electricity spot-goods environment |
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 | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A Calculation System of Consumption Proportion and Weighted Electricity Price Effective date of registration: 20221018 Granted publication date: 20220708 Pledgee: Industrial Bank Co.,Ltd. Shanghai Zhangyang Sub branch Pledgor: Aopu (Shanghai) new energy Co.,Ltd. Registration number: Y2022310000288 |
|
| PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Date of cancellation: 20231025 Granted publication date: 20220708 Pledgee: Industrial Bank Co.,Ltd. Shanghai Zhangyang Sub branch Pledgor: Aopu (Shanghai) new energy Co.,Ltd. Registration number: Y2022310000288 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: A Consumption Ratio and Weighted Electricity Price Calculation System Effective date of registration: 20231030 Granted publication date: 20220708 Pledgee: Industrial Bank Co.,Ltd. Shanghai Zhangyang Sub branch Pledgor: Aopu (Shanghai) new energy Co.,Ltd. Registration number: Y2023310000698 |