CN116054177B - Big data-based electric automation management system - Google Patents
Big data-based electric automation management system Download PDFInfo
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- CN116054177B CN116054177B CN202310136307.3A CN202310136307A CN116054177B CN 116054177 B CN116054177 B CN 116054177B CN 202310136307 A CN202310136307 A CN 202310136307A CN 116054177 B CN116054177 B CN 116054177B
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- 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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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- 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
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention relates to the technical field of power distribution, in particular to an electric automation management system based on big data, which comprises a power supply acquisition module, a power consumption module, a storage unit and a data distribution unit, wherein the power consumption module consists of a plurality of power consumption units, and the power supply urgency of different power consumption units is different. According to the invention, the power consumption condition is detected regularly in the power supply process, the power distribution scheme is regulated according to the detection result, preliminary distribution is carried out through early-stage data statistics, the power consumption condition is detected continuously in the power consumption process, the power distribution scheme is regulated according to the power consumption condition, and real-time regulation is carried out in the power equipment operation process, so that the power distribution mode is more intelligent.
Description
Technical Field
The invention relates to the technical field of power distribution, in particular to an electric automation management system based on big data.
Background
Power system automation is a direction of development that power systems have sought to, and includes: and the power generation control, the power dispatching and the distribution are automated.
Chinese patent publication No.: CN102402721a discloses an electrical load lifecycle management and analysis system and method. In the system and method, a database module stores electrical system configuration data and electrical system requirements, and an electrical system analysis module determines electrical system performance characteristics based on the electrical system configuration data as a function of the electrical system configuration data. In addition, an electrical system configuration management module manages at least one change in the electrical system configuration data and compares the electrical system performance characteristics to the electrical system requirements.
The current power distribution system often carries out early-stage power distribution through configuration data, cannot carry out real-time adjustment in the operation process of power equipment, and has an intelligent power distribution mode.
Disclosure of Invention
Therefore, the invention provides an electric automation management system based on big data, which is used for solving the problems that the real-time adjustment cannot be carried out in the operation process of power equipment and the power distribution mode is not intelligent in the prior art.
In order to achieve the above object, the present invention provides an electrical automation management system based on big data, comprising,
the power supply acquisition module is connected with upstream power supply equipment and is used for acquiring upstream power supply quantity;
the power consumption module is composed of a plurality of power consumption units, and the power supply urgency of different power consumption units is different; the power consumption module comprises a primary power consumption unit, a secondary power consumption unit and a tertiary power consumption unit, wherein the primary power consumption unit has the highest power supply urgency, and is secondary and tertiary;
a storage unit in which a history of power consumption of each of the power consumption units is stored;
the data distribution unit is connected with the power supply acquisition module, the power consumption modules are respectively connected with the storage units, the data distribution unit evaluates the power consumption of each power consumption unit in the next period according to the historical power consumption condition of each power consumption unit stored in the storage units, distributes power to each power consumption unit according to the power supply quantity of the upstream of the next period acquired by the power supply acquisition module, a time interval is arranged in the data distribution unit, and after the power supply passes through the designated time interval, the data distribution unit acquires the power consumption of each power consumption unit in the time interval and adjusts a power distribution scheme according to the acquired power consumption.
Further, the data distribution unit divides the power consumption into a plurality of small periods, the small periods are numbered, the first small period Z1, the second small period Z2, the nth small period Zn, N are the number of the divided small periods, the storage unit is internally provided with historical power consumption information of each power consumption unit in different periods, the storage unit records the current large period as Rd, any small period in the current large period as Zdi, i=1, 2, & gt.n, the previous large period as Rs, and any small period in the previous large period as Zsi;
the power supply acquisition module acquires the power supply quantity A of the next small period Zdi provided at the upstream, the data distribution unit acquires the power consumption condition of each power consumption unit of the i-1 th small period Zsi-1 and the i-1 th small period Zsi in the last large period Rs and the i-1 th small period Zdi-1 in the large period Rd from the storage unit, wherein,
the power consumption of the first-stage power consumption unit in the ith-1 small cycle Zsi-1 in the last large cycle Rs is B11;
the power consumption of the secondary power consumption unit in the i-1 th small period Zsi-1 in the last large period Rs is B21;
the power consumption of the i-1 th small period Zsi-1 in the last large period Rs of the three-level power consumption unit is B31;
the power consumption of the ith small period Zsi of the primary power consumption unit in the last large period Rs is B12;
the power consumption of the i-th small period Zsi of the last large period Rs of the secondary power consumption unit is B22;
the power consumption of the ith small period Zsi of the three-level power consumption unit in the last large period Rs is B32;
the power consumption of the first-stage power consumption unit in the i-1 th small period Zdi-1 in the current large period Rd is C11;
the power consumption of the secondary power consumption unit in the i-1 th small period Zdi-1 in the current large period Rd is C21;
the power consumption of the i-1 th small period Zdi-1 of the three-level power consumption unit in the current large period Rd is C31;
the data distribution unit calculates the power consumption ratio Ds of the i-1 th small period Zsi-1 and the i-th small period Zsi in the last large period Rs, and estimates the power consumption Adi of the next small period Zdi,
setting upAdi= (c11+c21+c31) ×ds×e1, where E1 is an estimated power consumption adjustment parameter;
the data distribution unit compares the estimated power consumption Adi with the power supply A to judge whether the power consumption units are required to be subjected to power limiting adjustment;
the data distribution unit compares the estimated power consumption Adi of the next small cycle Zdi with the power supply a of the next small cycle Zdi,
if Adi is less than or equal to A, the data distribution unit does not conduct electricity limiting adjustment on each power consumption list;
and if Adi is more than A, the data distribution unit performs limit adjustment on each power consumption list and performs power distribution according to urgency.
Further, when the data distribution unit performs the electricity limiting adjustment for each of the electricity consumption sheets,
if the sAdi is less than or equal to A and less than or equal to Adi, when the data distribution unit performs electricity limiting adjustment, the data distribution unit intercepts electric quantity K to serve as a reserve power supply, the data distribution unit does not limit electricity to the primary power consumption unit and the secondary power consumption unit, so that the primary power consumption unit and the secondary power consumption unit can completely work, and the residual electric quantity supplies power to the tertiary power consumption unit;
if a is less than sAdi, when the data distribution unit performs electricity limiting adjustment, the data distribution unit intercepts the electric quantity K as a reserve power supply, the data distribution unit does not limit the electricity of the primary power consumption unit, so that the primary power consumption unit can completely work, the data distribution unit calculates the theoretical power consumption H2 of the secondary power consumption unit, H2 = Ds x C21 is set, the data distribution unit limits the electricity of the secondary power consumption unit, so that the actual power consumption of the secondary power consumption unit is not more than 0.8 times of H2, and the residual electric quantity supplies power to the tertiary power consumption unit.
Further, the data distribution unit divides a small period into n sections, the time interval of each section is t, when the small period Zdi begins to consume electricity, the data distribution unit begins to count time and records the power consumption condition of each power consumption unit, when the power consumption duration reaches t, the power consumption of the primary power consumption unit is L1, the power consumption of the secondary power consumption unit is L2, and the power consumption of the tertiary power consumption unit is L3;
the data distribution unit calculates theoretical power consumption Lt1 of the primary power consumption unit for a period of time t, theoretical power consumption Lt2 of the secondary power consumption unit, theoretical power consumption Lt3 of the tertiary power consumption unit, compares actual power consumption with theoretical power consumption, and judges whether power distribution adjustment is carried out or not;
Lt1＝C11×Ds×E1÷n，Lt2＝C12×Ds×E1÷n，Lt3＝C13×Ds×E1÷n。
further, when the data distribution unit does not make the power consumption adjustment for each of the power consumption units, the data distribution unit estimates again the power consumption Adi ', adi ' = (l1+l2+l3) ×n of the small period Zdi, and compares Adi ' with a, and determines again whether the power consumption units need to be made the power consumption adjustment.
Further, when sAdi is less than or equal to A < Adi, the data distribution unit calculates a ratio Vs between a power consumption L1 of the primary power consumption unit and a power consumption L2 of the secondary power consumption unit, and a theoretical power consumption Lt1 of the primary power consumption unit and a theoretical power consumption Lt2 of the secondary power consumption unit,
if |Vs-1|is less than or equal to Vd, the data distribution unit does not carry out power distribution regulation again;
if |Vs-1| > Vd, the data allocation unit re-performs power allocation adjustment;
vd is a power distribution rationality evaluation parameter when sAdi is less than or equal to A < Adi.
Further, if |vs-1| > Vd, the data distribution unit again predicts the power consumption Adi ' of the small period Zdi, sets Adi ' = (l1+l2+l3) ×n, compares Adi ' with a, and again determines whether the power consumption units need to be adjusted to limit power.
Further, when A < sAdi, the data distribution unit calculates a ratio Va between the power consumption L1 of the primary power consumption unit and the theoretical power consumption Lt1 of the primary power consumption unit,
if Va-1 is less than or equal to Vb, the data distribution unit does not carry out power distribution regulation again;
if Va-1 > Vb, the data distribution unit re-performs power distribution regulation;
and Vb is a power distribution rationality evaluation parameter when A < sAdi.
Further, if |va-1| > Vb, the data distribution unit estimates again the power consumption Adi ', adi ' = (l1+lt2+lt3) ×n of the small period Zdi, compares Adi ' with a, and determines again whether the power consumption units need to be adjusted to limit power.
Further, when the data distribution unit performs the electricity limiting adjustment on each power consumption list, after the power supply of the small period Zdi is completed, the data distribution unit counts the actual power consumption Az of the power consumption module, and the data distribution unit calculates an estimated difference Y, wherein Y=A-K-Az;
if Y is larger than Y1, the data distribution unit adjusts the estimated power consumption adjustment parameter E1.
Compared with the prior art, the power distribution method has the beneficial effects that the power consumption condition is detected regularly in the power supply process, the power distribution scheme is regulated according to the detection result, preliminary distribution is carried out through early-stage data statistics, the power consumption condition is detected continuously in the power consumption process, the power distribution scheme is regulated according to the power consumption condition, and real-time regulation is carried out in the power equipment operation process, so that the power distribution mode is more intelligent.
Further, by recording historical data and evaluating the power consumption of the next power supply period according to the loop ratio and the same ratio, whether power limitation is needed or not is judged according to the evaluation result, and power distribution is reasonably carried out, so that the power distribution mode is more intelligent.
Further, when the expected power consumption of the next power supply period is slightly larger than the upstream power supply capacity, the power supply quantity of the three-stage power consumption unit with the lowest power supply urgency is limited, when the expected power consumption of the next power supply period is larger than the upstream power supply capacity, the power supply quantity of the two-stage power consumption unit and the three-stage power consumption unit is limited, before the power supply quantity is limited, part of the power quantity is intercepted to serve as emergency power, effective power supply can be carried out when emergency conditions occur, and the power distribution mode is more intelligent.
Further, preliminary distribution is performed through early-stage data statistics, the power consumption condition is continuously detected in the power consumption process, the power distribution scheme is adjusted according to the power consumption condition, and real-time adjustment is performed in the operation process of the power equipment, so that the power distribution mode is more intelligent.
Further, when the difference between the estimated power consumption and the actual power consumption is large, the estimated result is inaccurate, and the estimated power consumption adjusting parameter is adjusted at the moment, so that the next power consumption estimation is more accurate, and the power distribution mode is more intelligent.
Drawings
Fig. 1 is a schematic structural diagram of an electrical automation management system based on big data in an embodiment.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, terms such as "upper," "lower," "left," "right," "inner," "outer," and the like indicate directions or positional relationships based on the directions or positional relationships shown in the drawings, which are merely for convenience of description, and do not indicate or imply that the apparatus or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an electrical automation management system based on big data in an embodiment.
The invention provides an electrical automation management system based on big data, which comprises,
the power supply acquisition module is connected with upstream power supply equipment and is used for acquiring upstream power supply quantity;
the power consumption module is composed of a plurality of power consumption units, and the power supply urgency of different power consumption units is different; the power consumption module comprises a primary power consumption unit, a secondary power consumption unit and a tertiary power consumption unit, wherein the primary power consumption unit has the highest power supply urgency, and is secondary and tertiary;
a storage unit in which a history of power consumption of each of the power consumption units is stored;
the data distribution unit is connected with the power supply acquisition module, the power consumption modules are respectively connected with the storage units, the data distribution unit evaluates the power consumption of each power consumption unit in the next period according to the historical power consumption condition of each power consumption unit stored in the storage units, distributes power to each power consumption unit according to the power supply quantity of the upstream of the next period acquired by the power supply acquisition module, a time interval is arranged in the data distribution unit, and after the power supply passes through the designated time interval, the data distribution unit acquires the power consumption of each power consumption unit in the time interval and adjusts a power distribution scheme according to the acquired power consumption.
According to the invention, the power consumption condition is detected regularly in the power supply process, the power distribution scheme is regulated according to the detection result, preliminary distribution is carried out through early-stage data statistics, the power consumption condition is detected continuously in the power consumption process, the power distribution scheme is regulated according to the power consumption condition, and real-time regulation is carried out in the power equipment operation process, so that the power distribution mode is more intelligent.
Specifically, the data distribution unit divides the power consumption into a plurality of small periods, numbers the small periods, and records as a first small period Z1, a second small period Z2, & gt, an nth small period Zn, N as the number of divided small periods, historical power consumption information of each power consumption unit in different periods is arranged in the storage unit, the storage unit records as Rd the current large period, any small period in the current large period is Zdi, i=1, 2, & gt, N as the previous large period is Rs, and any small period in the previous large period is Zsi;
the power supply acquisition module acquires the power supply quantity A of the next small period Zdi provided at the upstream, the data distribution unit acquires the power consumption condition of each power consumption unit of the i-1 th small period Zsi-1 and the i-1 th small period Zsi in the last large period Rs and the i-1 th small period Zdi-1 in the large period Rd from the storage unit, wherein,
the power consumption of the first-stage power consumption unit in the ith-1 small cycle Zsi-1 in the last large cycle Rs is B11;
the power consumption of the secondary power consumption unit in the i-1 th small period Zsi-1 in the last large period Rs is B21;
the power consumption of the i-1 th small period Zsi-1 in the last large period Rs of the three-level power consumption unit is B31;
the power consumption of the ith small period Zsi of the primary power consumption unit in the last large period Rs is B12;
the power consumption of the i-th small period Zsi of the last large period Rs of the secondary power consumption unit is B22;
the power consumption of the ith small period Zsi of the three-level power consumption unit in the last large period Rs is B32;
the power consumption of the first-stage power consumption unit in the i-1 th small period Zdi-1 in the current large period Rd is C11;
the power consumption of the secondary power consumption unit in the i-1 th small period Zdi-1 in the current large period Rd is C21;
the power consumption of the i-1 th small period Zdi-1 of the three-level power consumption unit in the current large period Rd is C31;
the data distribution unit calculates the power consumption ratio Ds of the i-1 th small period Zsi-1 and the i-th small period Zsi in the last large period Rs, and estimates the power consumption Adi of the next small period Zdi,
setting upAdi= (c11+c21+c31) ×ds×e1, where E1 is an estimated power consumption adjustment parameter;
the data distribution unit compares the estimated power consumption Adi with the power supply A to judge whether the power consumption units are required to be subjected to power limiting adjustment;
the data distribution unit compares the estimated power consumption Adi of the next small cycle Zdi with the power supply a of the next small cycle Zdi,
if Adi is less than or equal to A, the data distribution unit does not conduct electricity limiting adjustment on each power consumption list;
and if Adi is more than A, the data distribution unit performs limit adjustment on each power consumption list and performs power distribution according to urgency.
By recording historical data and evaluating the power consumption of the next power supply period according to the loop ratio and the same ratio, whether power limitation is needed or not is judged according to the evaluation result, and the power distribution is reasonably carried out, so that the power distribution mode is more intelligent.
Specifically, when the data distribution unit performs the electricity limiting adjustment for each of the electricity consumption sheets,
if the sAdi is less than or equal to A and less than or equal to Adi, when the data distribution unit performs electricity limiting adjustment, the data distribution unit intercepts electric quantity K to serve as a reserve power supply, the data distribution unit does not limit electricity to the primary power consumption unit and the secondary power consumption unit, so that the primary power consumption unit and the secondary power consumption unit can completely work, and the residual electric quantity supplies power to the tertiary power consumption unit;
if a is less than sAdi, when the data distribution unit performs electricity limiting adjustment, the data distribution unit intercepts the electric quantity K as a reserve power supply, the data distribution unit does not limit the electricity of the primary power consumption unit, so that the primary power consumption unit can completely work, the data distribution unit calculates the theoretical power consumption H2 of the secondary power consumption unit, H2 = Ds x C21 is set, the data distribution unit limits the electricity of the secondary power consumption unit, so that the actual power consumption of the secondary power consumption unit is not more than 0.8 times of H2, and the residual electric quantity supplies power to the tertiary power consumption unit.
When the predicted power consumption of the next power supply period is slightly larger than the upstream power supply capability, the power supply quantity of the three-stage power consumption unit with the lowest power supply urgency is limited, when the predicted power consumption of the next power supply period is more than the upstream power supply capability, the power supply quantity of the two-stage power consumption unit and the three-stage power consumption unit is limited, before the power supply quantity is limited, part of electric quantity is intercepted to serve as emergency power, effective power supply can be carried out when emergency conditions are guaranteed, and the power distribution mode is more intelligent.
Specifically, the data distribution unit divides a small period into n sections, the time interval of each section is t, when the small period Zdi begins to consume electricity, the data distribution unit begins to count time and records the power consumption condition of each power consumption unit, when the power consumption duration reaches t, the power consumption of the primary power consumption unit is L1, the power consumption of the secondary power consumption unit is L2, and the power consumption of the tertiary power consumption unit is L3;
the data distribution unit calculates theoretical power consumption Lt1 of the primary power consumption unit for a period of time t, theoretical power consumption Lt2 of the secondary power consumption unit, theoretical power consumption Lt3 of the tertiary power consumption unit, compares actual power consumption with theoretical power consumption, and judges whether power distribution adjustment is carried out or not;
Lt1＝C11×Ds×E1÷n，Lt2＝C12×Ds×E1÷n，Lt3＝C13×Ds×E1÷n。
preliminary distribution is carried out through early-stage data statistics, the power consumption condition is continuously detected in the power consumption process, the power distribution scheme is adjusted according to the power consumption condition, and real-time adjustment is carried out in the operation process of the power equipment, so that the power distribution mode is more intelligent.
Specifically, when the data distribution unit does not perform the power limiting adjustment on each of the power consumption units, the data distribution unit again predicts the power consumption Adi ', adi ' = (l1+l2+l3) ×n of the small period Zdi, and compares Adi ' with a, and again determines whether the power limiting adjustment on each of the power consumption units is necessary.
Specifically, when sAdi is equal to or less than A < Adi, the data distribution unit calculates a ratio Vs between a power consumption L1 of the primary power consumption unit and a power consumption L2 of the secondary power consumption unit, and a theoretical power consumption Lt1 of the primary power consumption unit and a theoretical power consumption Lt2 of the secondary power consumption unit,
if |Vs-1|is less than or equal to Vd, the data distribution unit does not carry out power distribution regulation again;
if |Vs-1| > Vd, the data allocation unit re-performs power allocation adjustment;
vd is a power distribution rationality evaluation parameter when sAdi is less than or equal to A < Adi.
Specifically, if |vs-1| > Vd, the data distribution unit again estimates the power consumption Adi ' of the small period Zdi, sets Adi ' = (l1+l2+l3) ×n, compares Adi ' with a, and again determines whether or not the power consumption units need to be adjusted to limit electricity.
Specifically, when A < sAdi, the data distribution unit calculates a ratio Va between the power consumption L1 of the primary power consumption unit and the theoretical power consumption Lt1 of the primary power consumption unit,
if Va-1 is less than or equal to Vb, the data distribution unit does not carry out power distribution regulation again;
if Va-1 > Vb, the data distribution unit re-performs power distribution regulation;
and Vb is a power distribution rationality evaluation parameter when A < sAdi.
Specifically, if i Va-1 i > Vb, the data distribution unit again estimates the power consumption Adi ', adi ' = (l1+lt2+lt3) ×n of the small period Zdi, and compares Adi ' with a, and again determines whether or not the power consumption units need to be adjusted to limit electricity.
Specifically, when the data distribution unit performs the electricity limiting adjustment on each power consumption sheet, after the power supply of the small period Zdi is completed, the data distribution unit counts the actual power consumption Az of the power consumption module, and the data distribution unit calculates an estimated difference Y, Y=A-K-Az;
if Y is larger than Y1, the data distribution unit adjusts the estimated power consumption adjustment parameter E1.
When the difference between the estimated power consumption and the actual power consumption is large, the estimated result is inaccurate, and the estimated power consumption adjusting parameter is adjusted at the moment, so that the next power consumption estimation is more accurate, and the power distribution mode is further more intelligent.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. An electrical automation management system based on big data, characterized by comprising,
the power supply acquisition module is connected with upstream power supply equipment and is used for acquiring upstream power supply quantity;
the power consumption module is composed of a plurality of power consumption units, and the power supply urgency of different power consumption units is different; the power consumption module comprises a primary power consumption unit, a secondary power consumption unit and a tertiary power consumption unit, wherein the primary power consumption unit has the highest power supply urgency, and is secondary and tertiary;
a storage unit in which a history of power consumption of each of the power consumption units is stored;
the data distribution unit is respectively connected with the power supply acquisition module, the storage units, the data distribution unit evaluates the power consumption of each power consumption unit in the next period according to the historical power consumption condition of each power consumption unit stored in the storage units, and distributes the power to each power consumption unit according to the power supply amount of the upstream of the next period acquired by the power supply acquisition module, a time interval is arranged in the data distribution unit, and after the power supply passes through the designated time interval, the data distribution unit acquires the power consumption of each power consumption unit in the time interval and adjusts the power distribution scheme according to the acquired power consumption;
the data distribution unit is used for dividing the power consumption condition into a plurality of small periods, numbering the small periods, namely a first small period Z1, a second small period Z2, and an N-th small period Zn, N is the number of divided small periods, historical power consumption information of each power consumption unit in different periods is arranged in the storage unit, the storage unit records the current large period as Rd, any small period in the current large period as Zdi, i=1, 2, and recording the previous large period as Rs, and any small period in the previous large period as Zsi;
the power supply acquisition module acquires the power supply quantity A of the next small period Zdi provided at the upstream, the data distribution unit acquires the power consumption condition of each power consumption unit of the i-1 th small period Zsi-1 and the i-1 th small period Zsi in the last large period Rs and the i-1 th small period Zdi-1 in the large period Rd from the storage unit, wherein,
the power consumption of the first-stage power consumption unit in the ith-1 small cycle Zsi-1 in the last large cycle Rs is B11;
the power consumption of the secondary power consumption unit in the i-1 th small period Zsi-1 in the last large period Rs is B21;
the power consumption of the i-1 th small period Zsi-1 in the last large period Rs of the three-level power consumption unit is B31;
the power consumption of the ith small period Zsi of the primary power consumption unit in the last large period Rs is B12;
the power consumption of the i-th small period Zsi of the last large period Rs of the secondary power consumption unit is B22;
the power consumption of the ith small period Zsi of the three-level power consumption unit in the last large period Rs is B32;
the power consumption of the first-stage power consumption unit in the i-1 th small period Zdi-1 in the current large period Rd is C11;
the power consumption of the secondary power consumption unit in the i-1 th small period Zdi-1 in the current large period Rd is C21;
the power consumption of the i-1 th small period Zdi-1 of the three-level power consumption unit in the current large period Rd is C31;
the data distribution unit calculates the power consumption ratio Ds of the i-1 th small period Zsi-1 and the i-th small period Zsi in the last large period Rs, and estimates the power consumption Adi of the next small period Zdi,
setting upWherein E1 is a predicted power consumption adjustment parameter;
the data distribution unit compares the estimated power consumption Adi with the power supply A to judge whether the power consumption units are required to be subjected to power limiting adjustment;
the data distribution unit compares the estimated power consumption Adi of the next small cycle Zdi with the power supply a of the next small cycle Zdi,
if Adi is less than or equal to A, the data distribution unit does not conduct electricity limiting adjustment on each power consumption list;
and if Adi is more than A, the data distribution unit performs limit adjustment on each power consumption list and performs power distribution according to urgency.
2. The big data based electrical automation management system of claim 1, wherein,
when the data distribution unit performs the electricity limiting adjustment for each of the electricity consumption units,
if the sAdi is less than or equal to A and less than or equal to Adi, when the data distribution unit performs electricity limiting adjustment, the data distribution unit intercepts electric quantity K to serve as a reserve power supply, the data distribution unit does not limit electricity to the primary power consumption unit and the secondary power consumption unit, so that the primary power consumption unit and the secondary power consumption unit can completely work, and the residual electric quantity supplies power to the tertiary power consumption unit;
if a is less than sAdi, when the data distribution unit performs electricity limiting adjustment, the data distribution unit intercepts the electric quantity K as a reserve power supply, the data distribution unit does not limit the electricity of the primary power consumption unit, so that the primary power consumption unit can completely work, the data distribution unit calculates the theoretical power consumption H2 of the secondary power consumption unit, H2 = Ds x C21 is set, the data distribution unit limits the electricity of the secondary power consumption unit, so that the actual power consumption of the secondary power consumption unit is not more than 0.8 times of H2, and the residual electric quantity supplies power to the tertiary power consumption unit.
3. The big data based electrical automation management system of claim 2, wherein,
the data distribution unit divides a small period into n sections, the time interval of each section is t, when the small period Zdi begins to consume electricity, the data distribution unit begins to count time and records the power consumption condition of each power consumption unit, when the power consumption duration reaches t, the power consumption of the primary power consumption unit is L1, the power consumption of the secondary power consumption unit is L2, and the power consumption of the tertiary power consumption unit is L3;
the data distribution unit calculates theoretical power consumption Lt1 of the primary power consumption unit for a period of time t, theoretical power consumption Lt2 of the secondary power consumption unit, theoretical power consumption Lt3 of the tertiary power consumption unit, compares actual power consumption with theoretical power consumption, and judges whether power distribution adjustment is carried out or not;
Lt1=C11×Ds×E1÷n，Lt2=C12×Ds×E1÷n，Lt3=C13×Ds×E1÷n。
4. the automated big data based electrical management system of claim 3, wherein,
when the data distribution unit does not perform the power limiting adjustment on each of the power consumption units, the data distribution unit again predicts the power consumption Adi ', adi ' = (l1+l2+l3) ×n of the small period Zdi, compares Adi ' with a, and again determines whether the power limiting adjustment on each of the power consumption units is necessary.
5. The big data based electrical automation management system of claim 4, wherein,
when sAdi is less than or equal to A < Adi, the data distribution unit calculates the power consumption L1 of the primary power consumption unit and the power consumption L2 of the secondary power consumption unit, and eliminates the primary powerA ratio Vs between the theoretical power consumption Lt1 of the power consumption unit and the theoretical power consumption Lt2 of the secondary power consumption unit,，
if |Vs-1|is less than or equal to Vd, the data distribution unit does not carry out power distribution regulation again;
if |Vs-1| > Vd, the data allocation unit re-performs power allocation adjustment;
vd is a power distribution rationality evaluation parameter when sAdi is less than or equal to A < Adi.
6. The electric automation management system based on big data according to claim 5, wherein if |vs-1| > Vd, the data distribution unit again predicts the power consumption Adi ' of the small period Zdi, sets Adi ' = (l1+l2+lt3) ×n, and the data distribution unit compares Adi ' with a, and again determines whether the power consumption units need to be adjusted for limiting power.
7. The electric automation management system based on big data according to claim 6, wherein the data distribution unit calculates a ratio Va between the power consumption L1 of the primary power consumption unit and the theoretical power consumption Lt1 of the primary power consumption unit when A < sAdi,，
if Va-1 is less than or equal to Vb, the data distribution unit does not carry out power distribution regulation again;
if Va-1 > Vb, the data distribution unit re-performs power distribution regulation;
and Vb is a power distribution rationality evaluation parameter when A < sAdi.
8. The large data-based electric automation management system of claim 7, wherein if |va-1| > Vb, the data distribution unit again predicts the power consumption Adi ', adi ' = (l1+lt2+lt3) ×n of the small period Zdi, and the data distribution unit compares Adi ' with a, again determines whether the power consumption units need to be adjusted for limiting power.
9. The big data based electric automation management system of claim 8, wherein when the data distribution unit performs the electricity limiting adjustment on each of the power consumption units, the data distribution unit counts the actual power consumption Az of the power consumption module after completing the power supply of the small period Zdi, and the data distribution unit calculates the estimated difference Y, y=a-K-Az;
if Y is larger than Y1, the data distribution unit adjusts the estimated power consumption adjustment parameter E1.
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