CN116093959A - Power load energy storage and power supply management system - Google Patents
Power load energy storage and power supply management system Download PDFInfo
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- 238000010248 power generation Methods 0.000 claims abstract description 194
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00036—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving switches, relays or circuit breakers
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- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
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- H02J2310/58—The condition being electrical
- H02J2310/60—Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
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Abstract
The invention belongs to the technical field of power supply management, and particularly discloses a power load energy storage and power supply management system. According to the invention, the power supply plan change requirement assessment is carried out according to three information dimensions, namely the region related power supply information, the household electric energy information and the power consumption load change information, so that the coordination and reliability of power supply between photovoltaic power generation supply and energy storage supply are promoted, the limitation existing in the current back-end power consumption management mode is effectively solved, the power consumption freedom of a user is met to the greatest extent under the condition of ensuring the stable power supply of a power grid, the interference of control equipment on daily life is reduced, the flexible supply of household power consumption is realized, and the dependence of a direct power supply source is reduced from the source.
Description
Technical Field
The invention belongs to the technical field of power supply management, and relates to an electric load energy storage power supply management system.
Background
The household energy storage not only can reduce the electricity cost by improving the spontaneous proportion, participating in auxiliary service and the like, but also can be used as an emergency standby power supply when the middle end of the power grid is powered by factors such as serious disasters and the like, so that the household power supply reliability is improved. Therefore, in order to ensure the reliability of the user power supply, power supply management is required.
The prior art is as disclosed in the Chinese patent application with publication number of CN110794671A, which confirms the power and history data of the equipment according to the power plan of the user and formulates various control strategies in each power consumption period according to the power and history data of the corresponding electric equipment in each power consumption period; sequencing a plurality of control strategies in each electricity utilization period according to electricity utilization cost; and selecting the optimal control strategy in the electricity utilization period according to the electricity utilization period, so that the electricity utilization cost is reduced.
Aiming at the scheme, the electricity consumption cost can be reduced only by controlling the electricity consumption of the home internal equipment in the self-layer, certain limitations still exist, and the problems in the following aspects also exist: 1. the utilization of renewable energy plays a key role in saving electricity consumption, currently belongs to back-end electricity consumption management, and does not analyze a front-end power supply mode, so that the saving rate of the electricity consumption cost of the household electricity consumption integrity is low, and the utilization rate of renewable energy is also low.
2. At present, the power consumption cost is saved by controlling the equipment in a time-division manner, the power consumption cost is not saved from a supply source, the situation that renewable energy sources replace direct power supplies is not considered, the dependence of the direct power supplies cannot be reduced from the source, and certain interference is brought to the daily life of families in a mode of controlling the equipment.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the background art, a power load energy storage and power supply management system is now proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides an electric load energy storage and power supply management system, which comprises: and the regional power supply related information extraction module is used for extracting power supply related information corresponding to the designated power utilization region and comprises meteorological information, a current power grid load curve and historical power failure information.
And the household electric energy information extraction module is used for extracting electric energy information corresponding to the designated household at present, and the electric energy information comprises electric load, power generation information and energy storage information.
And the household electricity change information extraction module is used for extracting electricity load change information uploaded by the appointed household user.
And the household power supply plan evaluation module is used for extracting the current corresponding power supply plan of the appointed household from the power utilization information library, evaluating the change requirement of the current power supply plan, and confirming the target power supply plan of the appointed household in the current power utilization period when the evaluation result is that the change is required.
And the electricity consumption information library is used for storing the comprehensive electricity consumption hours corresponding to the specified family in each historical monitoring period and storing the current corresponding power supply plan of the specified family.
And the power supply plan feedback terminal is used for feeding back a target power supply plan of the appointed family in the current power utilization period to the power utilization control platform and adjusting the power supply plan.
In one possible design, the weather information includes illumination information in a current power utilization period and a next power utilization period, and the illumination information includes a number of sunny days and a date, an illumination duration and an illumination intensity to which each sunny day corresponds.
The historical power-off information comprises the highest power-off times and the historical total power-off times corresponding to each month of the history.
The power generation information comprises the accumulated operation years of the full-load power generation capacity and the photovoltaic power generation battery pack.
The energy storage information comprises storage loss corresponding to each power supply quantity of the energy storage end and accumulated operation years of the energy storage end.
And the power consumption load change information is the power consumption power and the type corresponding to each newly-added electric equipment.
In one possible design, the performing a change demand assessment on the current power supply plan includes: extracting planned supply duty ratio corresponding to photovoltaic power generation end from current corresponding power supply plan of specified household
。
According to the electricity load change information, calculating the planned supply electric quantity corresponding to the photovoltaic power generation end
。
Performing power generation change demand analysis to obtain a power generation supply change demand evaluation index
。
Performing energy storage change demand analysis to obtain an energy storage supply change demand evaluation index
。
Setting a power generation peak regulation demand factor
And energy storage demand factor->
。
Calculating a current power supply plan change demand assessment index
，
wherein ,
the duty ratio weight is evaluated for the set power generation and energy storage corresponding to the supply change requirement,
power generation and energy storage corresponding supply change demand evaluation index for setting reference respectively, < >>
And evaluating the correction factor for the set power supply change.
If it is
And (5) recording the change requirement assessment result of the current power supply plan as a change requirement, and otherwise recording as a change-free requirement.
In one possible design, the calculating the planned supply power corresponding to the photovoltaic power generation end includes: extracting the power consumption power corresponding to each newly increased electric equipment from the power consumption load change information, and accumulating to obtain the newly increased total power consumption load
。
Extracting current corresponding power load of appointed family
Calculating the estimated electricity load of a given household>
，
，/>
And (5) setting floating power loads.
Calculating planned supply electric quantity corresponding to photovoltaic power generation end
，
wherein ,
for the number of estimated power hours per day, +.>
For the number of days corresponding to the current power utilization period, +.>
And supplying the loss electric quantity and the error compensation electric quantity for the set power generation.
In one possible design, the performing power generation change demand analysis includes: extracting the accumulated operation life of the photovoltaic power generation battery pack from the power generation information
And full load power generation->
。
Extracting illumination information in the current power utilization period and the next power utilization period from the meteorological information, and counting expected power generation capacity corresponding to the current power utilization period
And the power generation difference index corresponding to the next power utilization period +.>
。
Calculating a power generation supply change demand evaluation index
，/>
。
wherein ,
the duty weight and/or the +/are respectively estimated for the set supply deviation and the power generation supply change demand corresponding to the power generation deviation>
The power supply allowance, the early warning power generation deviation and the stable operation period of the photovoltaic power generation battery pack are respectively set as references>
And evaluating the correction factor for the set power generation change.
In one possible design, the calculating the expected power generation amount corresponding to the current power utilization period and the power generation difference index corresponding to the next power utilization period includes: according to the meteorological information, analyzing illumination information in the current power utilization period and the next power utilization period to obtain power generation duration, power generation stability and power generation resource sufficiency, and respectively marking as
、/>
、/>
and />
、/>
、/>
。
Calculating the expected generated energy corresponding to the current power utilization period
，/>
。
wherein ,
evaluating an index for a power generation state->
For the set power generation loss coefficient, < >>
And evaluating the index for the set efficient power generation state.
in the formula ,
evaluating correction factors for the set power generation state, +.>
、/>
、/>
Respectively corresponding to the power generation duration, the power generation stability and the power generation resource fullness of the reference under the set high-efficiency power generation state, +.>
And respectively evaluating the duty ratio weight for the power generation state corresponding to the set power generation duration, the power generation stability and the full power generation resource.
Calculating the power generation difference index corresponding to the next power utilization period
，
。
wherein ,
the duty ratio weight is evaluated for the difference corresponding to the set power generation duration, power generation stability and power generation resource fullness respectively, < >>
、/>
、/>
The power generation duration deviation, the power generation stability deviation and the power generation resource fullness deviation of the set reference are respectively set.
In one possible design, the performing energy storage change requirement analysis includes: extracting illumination information in the next power utilization period from the meteorological information, and calculating a resource level supply change evaluation index
。
Extracting the storage loss corresponding to each supplied electric quantity from the energy storage information
And the accumulated operating period of the energy storage end ∈>
, wherein ,/>
Representing the order number of supply, +.>
。
Calculating a storage loss level provisioning change assessment index
，
。
wherein ,
the duty ratio weight is evaluated for the storage loss level corresponding to the set operation years and loss increment respectively, < ->
The energy storage end stable operation years and the allowable loss increment of the set reference are respectively +.>
Modifying the evaluation correction factor for the set loss level, +.>
The y+1st power supply is supplied with the corresponding amount of memory loss.
Calculating an energy storage supply change demand assessment index
，/>
。
Wherein e is a natural constant,
the energy storage change corresponding to the set resource supply layer and the loss layer is evaluated to be the duty ratio weight,/->
The correction factor is evaluated for the set stored energy supply change.
In one possible design, the computing resource level supply change assessment index includes: according to illumination information in the next power utilization period, the systemThe sunny duty ratio corresponding to the next power utilization period
Light intermittence->
And availability of illumination resources->
。
Computing resource level provisioning change assessment index
，
wherein ,
the weight of the duty ratio is estimated for the corresponding resources of the set sunny duty ratio, the illumination intermittence and the illumination resource availability respectively,>
evaluating a correction factor for the set resource supply change, < +.>
、/>
、/>
The clear day duty ratio, the illumination intermittence and the illumination resource availability of the set reference are respectively set.
In one possible design, the setting the power generation peak shaving demand factor and the energy storage demand factor includes: overlapping and comparing the current power grid load curve with a set early warning power grid load curve to obtain the number of curve segments positioned above the early warning power grid load curve
Sum of curve total length +.>
。
Calculating the power generation peak regulation demand factor
，/>
。
wherein ,
the duty ratio weight is evaluated for the power generation peak shaving requirement corresponding to the number of curve segments and the total length of the curve respectively,
the number of curve segments, the excess length ratio of the set reference, respectively +.>
Is the current power grid load curve length.
According to the current month, the highest power-off times corresponding to the current month of the history are screened out from the historical power-off information
。
Extracting historical total power-off times
Calculating energy storage demand factor->
，/>
，/>
To set a reference power-off count ratio.
In one possible design, the confirmation specifies that the home is currently in useA target power plan for an electrical cycle comprising: according to the meteorological information, calculating the photovoltaic supply dominance corresponding to the current power utilization period
And the energy storage supply dominance of the next power utilization period +.>
。/>
Calculating corresponding adaptive supply duty ratio of photovoltaic power generation end in current power utilization period
，
。
wherein ,
a first deviation ratio, a second deviation ratio, and a +.>
，/>
The corrected scaling parameters of the set reference, the compensated floating supply duty cycle, respectively.
Will be
As a corresponding adapted supply duty cycle of the energy storage terminal.
And taking the corresponding adaptive supply duty ratio of the photovoltaic power generation end and the energy storage end of the current power utilization period as a target power supply plan of the designated family in the current power utilization period.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the invention, the power supply plan change requirement assessment is carried out according to three information dimensions, namely the region related power supply information, the household electric energy information and the power consumption load change information, so that the coordination and reliability of power supply between photovoltaic power generation supply and energy storage supply are promoted, the limitation existing in the current back-end power consumption management mode is effectively solved, the power consumption freedom of a user is met to the greatest extent under the condition of ensuring the stable power supply of a power grid, the interference of control equipment on daily life is reduced, and the flexible supply of household power consumption is realized.
(2) According to the invention, through changing and evaluating the photovoltaic power generation supply and the energy storage supply, the utilization rate of renewable energy sources is improved, the load pressure of power grid supply is effectively reduced, the saving rate of the integral electricity cost of household electricity is ensured, and the supply mode of direct power supply is effectively replaced through the spontaneous photovoltaic supply and the energy storage supply mode, so that the dependence of the direct power supply is reduced from the source.
(3) According to the invention, the power generation supply change demand evaluation index is calculated according to the illumination information of the current power utilization period and the next power utilization period, the current power generation resource state and the power generation resource state of the next power utilization period are intuitively displayed, the reliability and persuasion of power generation supply change evaluation are improved, the timeliness of power generation supply change is ensured, and the fitting property of the follow-up target power supply plan setting is ensured.
(4) According to the invention, the current energy storage loss degree is disclosed by calculating the energy storage supply change demand assessment index according to the illumination information and the storage loss information in the next power utilization period, so that the authenticity and the rationality of the energy storage supply change demand assessment are ensured, and the timeliness of the storage abnormality detection of the energy storage end is also improved from the other aspect.
(5) According to the invention, the target power supply plan of the appointed family in the current power utilization period is confirmed by calculating the photovoltaic supply dominance and the energy storage dominance of the next power utilization period, the value maximization of family power supply plan selection is realized, the current environmental resources and the energy storage function of the energy storage terminal are fully utilized, and the accuracy of the target power supply plan confirmation result is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the connection of the modules of the system of the present invention.
Fig. 2 is a schematic diagram of a power management flow according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 to 2, the invention provides an electric load energy storage and power supply management system, which comprises a regional power supply related information extraction module, a household electric energy information extraction module, a household power consumption change information extraction module, a household power supply plan evaluation module, a power consumption information library and a power supply plan feedback terminal.
The household power supply plan evaluation module is respectively connected with the regional power supply related information extraction module, the household electric energy information extraction module, the household power consumption change information extraction module, the power consumption information library and the power supply plan feedback terminal.
The regional power supply related information extraction module is used for extracting power supply related information corresponding to a designated power utilization region and comprises meteorological information, a current power grid load curve and historical power failure information.
Specifically, the meteorological information comprises illumination information in a current power utilization period and a next power utilization period, and the illumination information comprises the number of sunny days, and the corresponding date, illumination duration and illumination intensity of each sunny day.
The historical power-off information comprises the highest power-off times corresponding to each month of the history and the historical total power-off times.
The household electric energy information extraction module is used for extracting electric energy information corresponding to a specified household at present, and the electric energy information comprises electric load, power generation information and energy storage information.
Specifically, the power generation information includes the full power generation amount and the cumulative operating life of the photovoltaic power generation battery pack.
The energy storage information comprises the storage loss corresponding to each power supply of the energy storage end and the accumulated operation life of the energy storage end.
The household electricity consumption change information extraction module is used for extracting electricity consumption load change information uploaded by a designated household user, wherein the electricity consumption load change information is the electricity consumption power and the type corresponding to each newly-added electric equipment.
And the electricity consumption information library is used for storing the comprehensive electricity consumption hours corresponding to the specified families in each historical monitoring period and storing the current corresponding power supply plan of the specified families.
And the household power supply plan evaluation module is used for extracting a power supply plan corresponding to the designated household currently from the power utilization information library, evaluating the change requirement of the current power supply plan, and confirming the target power supply plan of the designated household in the current power utilization period when the evaluation result is that the change is required.
Specifically, the change demand assessment for the current power supply plan includes: step 1, extracting a planned supply duty ratio corresponding to a photovoltaic power generation end from a current corresponding power supply plan of a designated family
。
Step 2, calculating the planned supply electric quantity corresponding to the photovoltaic power generation end according to the power load change information
。
Preferably, calculating a planned supply power corresponding to the photovoltaic power generation end includes: step 2-1, extracting the power consumption power corresponding to each newly added electric equipment from the power consumption load change information, and accumulating to obtain the newly added total power consumption load
。
Step 2-2, extracting the current corresponding power load of the appointed family
Calculating the expected electricity load of a given household
，/>
，/>
And (5) setting floating power loads.
Step 2-3, calculating the planned supply electric quantity corresponding to the photovoltaic power generation end
，
。
wherein ,
for the number of estimated power hours per day, +.>
For the number of days corresponding to the current power utilization period, +.>
And supplying the loss electric quantity and the error compensation electric quantity for the set power generation.
The specific statistical process of the estimated daily power consumption hours is as follows: and extracting the corresponding comprehensive electricity utilization hours of the appointed family in each historical monitoring period from the electricity utilization information library.
By the formula
Calculating average daily electricity consumption hour number corresponding to each monitoring period of history>
I represents the monitoring period number,/->
。
Locating the highest average single-day power consumption hour number from the average single-day power consumption hour number corresponding to each monitoring period of the history
And the lowest average number of hours per day +.>
。
Calculating the number of estimated power hours per day
，/>
Is the set reference maximum ratio.
It should be further noted that the specific setting process of the error compensation electric quantity is as follows: and extracting the types corresponding to the newly added electric equipment from the electric utilization coincidence change information, and comparing the types with the reference use frequencies corresponding to the types of the electric equipment to obtain the reference use frequencies corresponding to the newly added equipment.
Locating the highest reference frequency of use from the corresponding reference frequencies of use of the newly added devices
And lowest reference frequency of use->
。
Will be
、/>
Leading in formula to calculate error compensation electric quantity +.>
，/>
，/>
Compensating the electric quantity for the set reference standard error, +.>
The frequency difference is used for setting the reference.
Step 3, analyzing the power generation changing requirement to obtain a power generation supply changing requirement assessment index
。
Understandably, performing power generation change demand analysis includes: step 3-1, extracting the accumulated operation life of the photovoltaic power generation battery pack from the power generation information
And full load power generation->
。
Step 3-2, extracting illumination information in the current power utilization period and the next power utilization period from the meteorological information, and counting the expected power generation amount corresponding to the current power utilization period
And the power generation difference index corresponding to the next power utilization period +.>
。
Further, the statistics of the expected power generation amount corresponding to the current power utilization period and the power generation difference index corresponding to the next power utilization period comprises the following steps: step 3-2-1, analyzing illumination information in the current power utilization period and the next power utilization period according to the meteorological information to obtain power generation duration, power generation stability and power generation resource fullness, which are respectively recorded as
、/>
、/>
and 
、/>
、/>
。
It should be noted that, the specific calculation process of the power generation duration, the power generation stability and the power generation resource fullness corresponding to the current power utilization period includes: 1) Power generation duration: extracting the number of sunny days from illumination information corresponding to the current power utilization period
。
Extracting the corresponding dates of each sunny day from the illumination information corresponding to the current power utilization period, mutually comparing the dates to obtain the interval days among the sunny days, and calculating the average value to obtain the average interval days of the sunny days
。/>
Calculating the power generation duration corresponding to the current power utilization period
，/>
, wherein ,/>
For the lowest reference sunny duty cycle set, +.>
For reference to the appropriate maximum number of days of interval,/>
and the power generation duration evaluation duty ratio weight factors are respectively expressed as set sunny duty ratios and corresponding sunny interval days.
2) Power generation stability: extracting the illumination duration and illumination intensity corresponding to each sunny day from the illumination information corresponding to the current power utilization period, and respectively screening the highest illumination duration from the illumination duration and the illumination intensity
Minimum illumination duration->
Maximum illumination intensity->
And minimum illumination intensity->
。
Calculating the power generation stability corresponding to the current power utilization period
，
。
wherein ,
generating stability evaluation duty ratio weights respectively expressed as the set maximum difference of illumination duration and the maximum difference of illumination intensity>
Respectively, the set reference illumination duration deviation and the reference illumination intensity deviation.
3) Power generation resource is full: screening the highest interval days from the interval days between sunny days
。
Will be
、/>
、/>
Leading in formula to calculate power generation resource fullness corresponding to current power utilization period
，/>
。
wherein ,
the estimated duty ratio weight of the illumination resource corresponding to the set interval day deviation, the minimum illumination duration deviation and the minimum illumination intensity deviation is respectively expressed as +.>
Respectively expressed as the set reference maximum interval sunny days, the corresponding suitable illumination duration and the suitable illumination intensity under the state of reference conventional power generation efficiency,
and respectively setting the corresponding allowable illumination duration deviation and allowable illumination intensity deviation under the state of reference conventional power generation efficiency.
It should be noted that, the analysis modes of the power generation duration, the power generation stability and the power generation resource abundance corresponding to the current power utilization period in the next power utilization period are the same analysis modes, and are not described here.
Step 3-2-2, calculating the expected power generation amount corresponding to the current power utilization period
，
。
wherein ,
evaluating an index for a power generation state->
For the set power generation loss coefficient, < >>
And evaluating the index for the set efficient power generation state.
in the formula ,
evaluating correction factors for the set power generation state, +.>
、/>
、/>
Respectively corresponding to the power generation duration, the power generation stability and the power generation resource fullness of the reference under the set high-efficiency power generation state, +.>
And respectively evaluating the duty ratio weight for the power generation state corresponding to the set power generation duration, the power generation stability and the full power generation resource.
Step 3-2-3, calculating the power generation difference index corresponding to the next power utilization period
，
。
wherein ,
the duty ratio weight is evaluated for the difference corresponding to the set power generation duration, power generation stability and power generation resource fullness respectively, < >>
、/>
、/>
The power generation duration deviation, the power generation stability deviation and the power generation resource fullness deviation of the set reference are respectively set.
Step 3-3, calculating a power generation supply change demand evaluation index
，
。
wherein ,
the duty weight and/or the +/are respectively estimated for the set supply deviation and the power generation supply change demand corresponding to the power generation deviation>
The power supply allowance, the early warning power generation deviation and the stable operation period of the photovoltaic power generation battery pack are respectively set as references>
And evaluating the correction factor for the set power generation change.
According to the embodiment of the invention, the power generation supply change demand assessment index is calculated according to the illumination information of the current power utilization period and the next power utilization period, the current power generation resource state and the power generation resource state of the next power utilization period are intuitively displayed, the reliability and persuasion of power generation supply change assessment are improved, the timeliness of power generation supply change is ensured, and the fitting performance of the subsequent target power supply plan setting is ensured.
Step 4, analyzing the energy storage change demand to obtain an energy storage supply change demand assessment index
。
Understandably, performing energy storage change demand analysis includes: step 4-1, extracting illumination information in the next electricity utilization period from the meteorological information, and calculating a resource level supply change evaluation index
。
Further, calculating a resource level provisioning change assessment index includes: according to illumination information in the next power utilization period, counting the sunny day duty ratio corresponding to the next power utilization period
Light intermittence->
And availability of illumination resources->
。
Computing resource level provisioning change assessment index
，
。
wherein ,
the weight of the duty ratio is estimated for the corresponding resources of the set sunny duty ratio, the illumination intermittence and the illumination resource availability respectively,>
evaluating a correction factor for the set resource supply change, < +.>
、/>
、/>
The clear day duty ratio, the illumination intermittence and the illumination resource availability of the set reference are respectively set.
It should be noted that, the specific statistical process of the sunny day duty ratio, the illumination intermittence and the illumination resource availability corresponding to the next electricity utilization period includes: extracting the number of sunny days from the illumination information in the next power utilization period through a formula
Calculating the clear day duty ratio of the next period +.>
。
Extracting the date corresponding to each sunny day from the illumination information in the next power utilization period
Calculating the illumination intermittence degree of the next power utilization period>
，/>
。
wherein ,
the illumination intermittence evaluation duty ratio weight factors respectively corresponding to the set next highest interval sunny day and interval sunny day maximum value ratio are respectively represented, j represents sunny day numbers, and +_>
M represents the number of sunny days,
representing the time between sunny daysMaximum of days of interval, +.>
Expressed as a set reference interval clear day maximum ratio.
And extracting the illumination duration and illumination intensity corresponding to each sunny day from the illumination information in the next power utilization period.
Respectively carrying out average calculation on the illumination duration and the illumination intensity corresponding to each sunny day in the next power utilization period to obtain average illumination duration
Average illumination intensity->
。
Screening the lowest illumination duration from the illumination duration and illumination intensity corresponding to each sunny day in the next power utilization period
And minimum illumination intensity->
。
Calculating availability of illumination resources of next power utilization period
，
。
wherein ,
audience better resource availability evaluation duty ratio weight factors respectively expressed as set illumination duration and illumination intensity>
Respectively expressed as a set reference illumination duration and reference illumination intensity.
Step 4-2, extracting from the stored energy informationTaking the storage loss corresponding to each power supply
And the accumulated operating period of the energy storage end ∈>
, wherein ,/>
Representing the order number of supply, +.>
。
Step 4-3, calculating a storage loss level supply change evaluation index
，
。
wherein ,
the duty ratio weight is evaluated for the storage loss level corresponding to the set operation years and loss increment respectively, < ->
The energy storage end stable operation years and the allowable loss increment of the set reference are respectively +.>
Modifying the evaluation correction factor for the set loss level, +.>
The y+1st power supply is supplied with the corresponding amount of memory loss.
Step 4-4, calculating an energy storage supply change demand evaluation index
，
。/>
Wherein e is a natural constant,
the energy storage change corresponding to the set resource supply layer and the loss layer is evaluated to be the duty ratio weight,/->
The correction factor is evaluated for the set stored energy supply change.
According to the embodiment of the invention, the current energy storage loss degree is disclosed by calculating the energy storage supply change demand assessment index according to the illumination information and the storage loss information in the next power utilization period, so that the authenticity and the rationality of the energy storage supply change demand assessment are ensured, and the timeliness of the abnormal detection of the storage of the energy storage end is also improved from the other aspect.
Step 5, setting a power generation peak regulation demand factor
And energy storage demand factor->
。
Specifically, setting a power generation peak shaving demand factor and an energy storage demand factor, including: overlapping and comparing the current power grid load curve with a set early warning power grid load curve to obtain the number of curve segments positioned above the early warning power grid load curve
Sum of curve total length +.>
。
Calculating the power generation peak regulation demand factor
，/>
。
wherein ,
the duty ratio weight is evaluated for the power generation peak shaving requirement corresponding to the number of curve segments and the total length of the curve respectively,
the number of curve segments, the excess length ratio of the set reference, respectively +.>
Is the current power grid load curve length.
According to the current month, the highest power-off times corresponding to the current month of the history are screened out from the historical power-off information
。
Extracting historical total power-off times
Calculating energy storage demand factor->
，/>
，/>
To set a reference power-off count ratio.
Step 6, calculating the current power supply plan change demand assessment index
，
。
wherein ,
the duty ratio weight is evaluated for the set power generation and energy storage corresponding to the supply change requirement,
power generation and energy storage corresponding supply change demand evaluation index for setting reference respectively, < >>
And evaluating the correction factor for the set power supply change.
According to the embodiment of the invention, the power supply plan change requirement assessment is carried out according to three information dimensions, namely the region related power supply information, the household electric energy information and the power consumption load change information, so that the coordination and reliability of power supply between photovoltaic power generation supply and energy storage supply are promoted, the limitation existing in the current back-end power consumption management mode is effectively solved, the power consumption freedom of a user is met to the greatest extent under the condition of ensuring the stable power supply of a power grid, the interference of control equipment on daily life is reduced, and the flexible supply of household power consumption is realized.
The embodiment of the invention also improves the utilization rate of renewable energy sources by changing and evaluating the photovoltaic power generation supply and the energy storage supply, effectively reduces the load pressure of power grid supply, ensures the saving rate of the integral electricity cost of household electricity consumption, and effectively replaces the supply mode of direct power supply by the self-used photovoltaic supply and the energy storage supply mode, thereby reducing the dependence of the direct power supply from the source.
Step 7, if
And (5) recording the change requirement assessment result of the current power supply plan as a change requirement, and otherwise recording as a change-free requirement. />
Still more specifically, confirming the target power supply plan of the specified household in the current power utilization period includes: according to the meteorological information, calculating the photovoltaic supply dominance corresponding to the current power utilization period
And the energy storage supply dominance of the next power utilization period +.>
。
According to the embodiment of the invention, the target power supply plan of the appointed family in the current power utilization period is confirmed by calculating the photovoltaic supply dominance and the energy storage dominance of the next power utilization period, the value maximization of family power supply plan selection is realized, the current environmental resources and the energy storage function of the energy storage terminal are fully utilized, and the accuracy of the confirmation result of the target power supply plan is improved.
It should be noted that, the specific calculation process of the photovoltaic supply dominance corresponding to the current power utilization period is as follows: extracting corresponding illumination information in the current power utilization period, and further positioning and extracting the number of sunny days from the illumination information
And the illumination duration and the illumination intensity corresponding to each sunny day.
Average value calculation is carried out on the illumination duration and the illumination intensity corresponding to each sunny day to obtain average illumination duration
Average illumination intensity->
。
Calculating photovoltaic supply dominance
，
。
wherein ,
the duty ratio weight factors are evaluated for the photovoltaic supply advantages corresponding to the number of sunny days and the illumination state respectively,
the method comprises the steps of respectively setting the corresponding reference sunny number, reference illumination duration and reference illumination intensity in the high-efficiency power supply state, and adding +.>
And respectively representing the illumination state evaluation duty ratio weight corresponding to the set illumination duration and the illumination intensity.
It should also be noted that the specific calculation process of the energy storage and supply dominance of the next power utilization period is as follows: extracting corresponding illumination information in the next power utilization period, and further extracting the number of sunny days
And the illumination duration and the illumination intensity corresponding to each sunny day.
Obtaining the average illumination duration corresponding to the next power utilization period through average calculation
Average illumination intensity
。
Calculating the energy storage and supply dominance of the next power utilization period
，
。
wherein ,
the reference sunny number, the reference illumination duration and the reference illumination intensity corresponding to the set normal demand state are respectively +.>
For the days of the next power cycle, +.>
And estimating the duty ratio weight factors for the energy storage requirements corresponding to the number of sunny days and the illumination state respectively.
Calculating corresponding adaptive supply duty ratio of photovoltaic power generation end in current power utilization period
，/>
。
wherein ,
a first deviation ratio, a second deviation ratio, and a +.>
，/>
The corrected scaling parameters of the set reference, the compensated floating supply duty cycle, respectively.
In a specific embodiment, when the photovoltaic supply dominance corresponding to the current electricity utilization period is larger and the energy storage dominance of the next electricity utilization period is smaller, the lighting conditions of the current electricity utilization period and the next electricity utilization period are good, electricity utilization and supply can be directly performed by using electricity generated by photovoltaic, when the energy storage dominance of the next electricity utilization period is higher, the energy storage terminal can be properly combined to perform bidirectional power supply to meet the electricity utilization requirement in the next electricity utilization period, so that the electricity storage loss of the energy storage terminal is reduced, when the energy storage dominance of the next electricity utilization period is higher, the main power supply mode of the next period is an energy storage supply mode, namely, when a sufficient amount of electricity should be charged into the energy storage terminal in the current electricity utilization period, therefore, a part of energy of photovoltaic power generation needs to be stored, the power generation and the energy storage bidirectional power supply mode are performed, the photovoltaic power supply duty ratio is properly reduced, and the storage capacity is improved.
In a further embodiment of the present invention,
，/>
representing far less than the symbol.
Will be
Adaptation as energy storage endThe supply duty cycle.
And taking the corresponding adaptive supply duty ratio of the photovoltaic power generation end and the energy storage end of the current power utilization period as a target power supply plan of the designated family in the current power utilization period.
And the power supply plan feedback terminal is used for feeding back a target power supply plan of the appointed family in the current power utilization period to the power utilization control platform and adjusting the power supply plan.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (10)
1. An electric load energy storage power supply management system, characterized in that: the system comprises:
the regional power supply related information extraction module is used for extracting power supply related information corresponding to a designated power utilization region and comprises meteorological information, a current power grid load curve and historical power failure information;
the household electric energy information extraction module is used for extracting electric energy information corresponding to a specified household at present, wherein the electric energy information comprises electric load, power generation information and energy storage information;
the household electricity change information extraction module is used for extracting electricity load change information uploaded by a specified household user;
the household power supply plan evaluation module is used for extracting a power supply plan corresponding to the designated household currently from the power utilization information library, evaluating the change requirement of the current power supply plan, and confirming a target power supply plan of the designated household in the current power utilization period when the evaluation result is that the change is required;
the electricity consumption information library is used for storing the comprehensive electricity consumption hours corresponding to each historical monitoring period of the appointed family and storing the current corresponding power supply plan of the appointed family;
and the power supply plan feedback terminal is used for feeding back a target power supply plan of the appointed family in the current power utilization period to the power utilization control platform and adjusting the power supply plan.
2. An electrical load energy storage and power management system as defined in claim 1, wherein: the meteorological information comprises illumination information in a current power utilization period and a next power utilization period, and the illumination information comprises the number of sunny days, and the corresponding belonging date, illumination duration and illumination intensity of each sunny day;
the historical power-off information comprises the highest power-off times and the historical total power-off times corresponding to each month of the history;
the power generation information comprises the accumulated operation years of the full-load power generation capacity and the photovoltaic power generation battery pack;
the energy storage information comprises storage loss corresponding to each power supply of the energy storage end and accumulated operation years of the energy storage end;
and the power consumption load change information is the power consumption power and the type corresponding to each newly-added electric equipment.
3. An electrical load energy storage and power management system as claimed in claim 2, wherein: the changing requirement assessment for the current power supply plan comprises the following steps:
extracting planned supply duty ratio corresponding to photovoltaic power generation end from current corresponding power supply plan of specified household
；
According to the electricity load change information, calculating the planned supply electric quantity corresponding to the photovoltaic power generation end
；
Performing power generation change demand analysis to obtain a power generation supply change demand evaluation index
；
Performing energy storage change demand analysis to obtain an energy storage supply change demand evaluation index
；
Setting a power generation peak regulation demand factor
And energy storage demand factor->
；
Calculating a current power supply plan change demand assessment index
，
wherein ,
the duty ratio weight is evaluated for the set power generation and energy storage corresponding to the supply change requirement respectively>
Power generation and energy storage corresponding supply change demand evaluation index for setting reference respectively, < >>
Evaluating a correction factor for the set power supply change;
if it is
And (5) recording the change requirement assessment result of the current power supply plan as a change requirement, and otherwise recording as a change-free requirement.
4. A power load energy storage and supply management system as claimed in claim 3, wherein: the calculation of the planned supply electric quantity corresponding to the photovoltaic power generation end comprises the following steps:
extracting the power consumption power corresponding to each newly increased electric equipment from the power consumption load change information, and accumulating to obtain the newly increased total power consumption load
；
Extracting current corresponding power load of appointed family
Calculating the estimated electricity load of a given household>
，
，/>
A set floating power load;
calculating planned supply electric quantity corresponding to photovoltaic power generation end
，/>
；
wherein ,
for the number of estimated power hours per day, +.>
For the number of days corresponding to the current power utilization period, +.>
And supplying the loss electric quantity and the error compensation electric quantity for the set power generation.
5. An electrical load energy storage and power management system as defined in claim 4, wherein: the power generation change demand analysis includes:
extracting the accumulated operation life of the photovoltaic power generation battery pack from the power generation information
And full load power generation->
；
Extracting illumination information in the current power utilization period and the next power utilization period from the meteorological information, and counting expected power generation capacity corresponding to the current power utilization period
And the power generation difference index corresponding to the next power utilization period +.>
；
Calculating a power generation supply change demand evaluation index
，/>
；
wherein ,
the duty weight and/or the +/are respectively estimated for the set supply deviation and the power generation supply change demand corresponding to the power generation deviation>
The power supply allowance, the early warning power generation deviation and the stable operation period of the photovoltaic power generation battery pack are respectively set as references>
And evaluating the correction factor for the set power generation change.
6. An electrical load energy storage and power management system as defined in claim 5, wherein: the statistics of the expected generated energy corresponding to the current power utilization period and the power generation difference index corresponding to the next power utilization period comprises the following steps:
according to the meteorological information, analyzing illumination information in the current power utilization period and the next power utilization period to obtain power generation duration, power generation stability and power generation resource sufficiency, and respectively marking as
、/>
、/>
and />
、/>
、/>
；
Calculating the expected generated energy corresponding to the current power utilization period
，/>
；
wherein ,
evaluating an index for a power generation state->
For the set power generation loss coefficient, < >>
Evaluating an index for the set efficient power generation state;
in the formula ,
evaluating correction factors for the set power generation state, +.>
、/>
、/>
Respectively corresponding to the power generation duration, the power generation stability and the power generation resource fullness of the reference under the set high-efficiency power generation state, +.>
The duty ratio weight is evaluated for the power generation state corresponding to the set power generation duration, power generation stability and power generation resource fullness respectively;
calculating the power generation difference index corresponding to the next power utilization period
，
；
wherein ,
the duty ratio weight is evaluated for the difference corresponding to the set power generation duration, power generation stability and power generation resource fullness respectively, < >>
、/>
、/>
The power generation duration deviation, the power generation stability deviation and the power generation resource fullness deviation of the set reference are respectively set.
7. A power load energy storage and supply management system as claimed in claim 3, wherein: the energy storage change demand analysis comprises the following steps:
extracting illumination information in the next power utilization period from the meteorological information, and calculating a resource level supply change evaluation index
；
Extracting the storage loss corresponding to each supplied electric quantity from the energy storage information
And the accumulated operation life of the energy storage end
, wherein ,/>
Representing the order number of supply, +.>
；
Calculating a storage loss level provisioning change assessment index
，/>
；
wherein ,
the duty ratio weights are respectively evaluated for the storage loss layers corresponding to the set operation years and the loss increments,
the energy storage end stable operation years and the allowable loss increment of the set reference are respectively +.>
Modifying the evaluation correction factor for the set loss level, +.>
Supplying the storage loss corresponding to the electric quantity for the (y+1) th time;
calculating an energy storage supply change demand assessment index
，/>
；
Wherein e is a natural constant,
the energy storage change corresponding to the set resource supply layer and the loss layer is evaluated to be the duty ratio weight,/->
The correction factor is evaluated for the set stored energy supply change.
8. An electrical load energy storage and power management system as defined in claim 7, wherein: the computing resource level provisioning change assessment index includes:
according to illumination information in the next power utilization period, counting the sunny day duty ratio corresponding to the next power utilization period
Intermittent degree of illumination
And availability of illumination resources->
；
Computing resource level provisioning change assessment index
，/>
；
wherein ,
the weight of the duty ratio is estimated for the corresponding resources of the set sunny duty ratio, the illumination intermittence and the illumination resource availability respectively,>
evaluating a correction factor for the set resource supply change, < +.>
、/>
、/>
The clear day duty ratio, the illumination intermittence and the illumination resource availability of the set reference are respectively set.
9. A power load energy storage and supply management system as claimed in claim 3, wherein: the setting of the power generation peak shaving demand factor and the energy storage demand factor comprises the following steps:
overlapping and comparing the current power grid load curve with a set early warning power grid load curve to obtain a load of the early warning power gridNumber of curve segments above the load curve
Sum of curve total length +.>
；
Calculating the power generation peak regulation demand factor
，/>
；
wherein ,
the duty ratio weight is evaluated for the power generation peak regulation requirement corresponding to the number of curve segments and the total length of the curve respectively, and the weight is->
The number of curve segments, the excess length ratio of the set reference, respectively +.>
The current power grid load curve length;
according to the current month, the highest power-off times corresponding to the current month of the history are screened out from the historical power-off information
；
Extracting historical total power-off times
Calculating energy storage demand factor->
，/>
，/>
To set a reference power-off count ratio.
10. An electrical load energy storage and power management system as defined in claim 4, wherein: the validation specifies a target power plan for the household during a current power cycle, comprising:
according to the meteorological information, calculating the photovoltaic supply dominance corresponding to the current power utilization period
And the energy storage supply dominance of the next power utilization period +.>
；
Calculating corresponding adaptive supply duty ratio of photovoltaic power generation end in current power utilization period
，
wherein ,
a first deviation ratio, a second deviation ratio, and a +.>
，/>
Respectively setting a reference correction proportionality coefficient and a compensation floating supply duty ratio;
will be
As the energy storage end corresponds toAdapting the supply duty cycle;
and taking the corresponding adaptive supply duty ratio of the photovoltaic power generation end and the energy storage end of the current power utilization period as a target power supply plan of the designated family in the current power utilization period.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116505595A (en) * | 2023-06-29 | 2023-07-28 | 国网安徽省电力有限公司巢湖市供电公司 | Power monitoring, dispatching and managing system based on virtual power plant |
| CN117097027A (en) * | 2023-09-05 | 2023-11-21 | 深圳市思凯迈科技有限公司 | Intelligent power supply control management system and method based on data analysis |
| CN117375246A (en) * | 2023-12-06 | 2024-01-09 | 江西源丰电力有限责任公司 | Power equipment management method, system and equipment |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104104116A (en) * | 2014-07-01 | 2014-10-15 | 杭州电子科技大学 | Design method for photovoltaic microgrid supply-demand control system containing distributed energy sources |
| CN107359635A (en) * | 2017-08-14 | 2017-11-17 | 国网天津市电力公司 | A kind of family's electric energy management system and method based on power system peak interval of time |
| CN114336615A (en) * | 2022-01-04 | 2022-04-12 | 温州爱梅斯信息技术有限公司 | Power resource scheduling intelligent management system based on big data analysis of power transmission environment |
| CN114938071A (en) * | 2022-05-12 | 2022-08-23 | 温州墨熵微电子有限公司 | New energy operation system intelligent monitoring management system based on artificial intelligence |
| CN115713437A (en) * | 2022-11-24 | 2023-02-24 | 国网安徽省电力有限公司合肥供电公司 | Energy centralized transaction management system based on block chain |
| CN115765015A (en) * | 2022-11-30 | 2023-03-07 | 国网湖南省电力有限公司 | Source network load storage cooperative interaction scheme making method oriented to power grid practical application scene |
-
2023
- 2023-04-12 CN CN202310383006.0A patent/CN116093959B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104104116A (en) * | 2014-07-01 | 2014-10-15 | 杭州电子科技大学 | Design method for photovoltaic microgrid supply-demand control system containing distributed energy sources |
| CN107359635A (en) * | 2017-08-14 | 2017-11-17 | 国网天津市电力公司 | A kind of family's electric energy management system and method based on power system peak interval of time |
| CN114336615A (en) * | 2022-01-04 | 2022-04-12 | 温州爱梅斯信息技术有限公司 | Power resource scheduling intelligent management system based on big data analysis of power transmission environment |
| CN114938071A (en) * | 2022-05-12 | 2022-08-23 | 温州墨熵微电子有限公司 | New energy operation system intelligent monitoring management system based on artificial intelligence |
| CN115713437A (en) * | 2022-11-24 | 2023-02-24 | 国网安徽省电力有限公司合肥供电公司 | Energy centralized transaction management system based on block chain |
| CN115765015A (en) * | 2022-11-30 | 2023-03-07 | 国网湖南省电力有限公司 | Source network load storage cooperative interaction scheme making method oriented to power grid practical application scene |
Non-Patent Citations (1)
| Title |
|---|
| 张青艳: "基于电网负荷预测的需求侧管理系统设计", 《中国优秀硕士学位论文全文数据库（电子期刊）》, no. 1, pages 25 - 41 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116505595A (en) * | 2023-06-29 | 2023-07-28 | 国网安徽省电力有限公司巢湖市供电公司 | Power monitoring, dispatching and managing system based on virtual power plant |
| CN116505595B (en) * | 2023-06-29 | 2023-09-15 | 国网安徽省电力有限公司巢湖市供电公司 | Power monitoring, dispatching and managing system based on virtual power plant |
| CN117097027A (en) * | 2023-09-05 | 2023-11-21 | 深圳市思凯迈科技有限公司 | Intelligent power supply control management system and method based on data analysis |
| CN117097027B (en) * | 2023-09-05 | 2024-03-22 | 深圳市思凯迈科技有限公司 | Intelligent power supply control management system and method based on data analysis |
| CN117375246A (en) * | 2023-12-06 | 2024-01-09 | 江西源丰电力有限责任公司 | Power equipment management method, system and equipment |
| CN117375246B (en) * | 2023-12-06 | 2024-04-05 | 江西源丰电力有限责任公司 | Power equipment management method, system and equipment |
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