CN106849064A - A kind of regional power grid load prediction management system based on meteorological data - Google Patents
A kind of regional power grid load prediction management system based on meteorological data Download PDFInfo
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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
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The present invention relates to network load prediction management technical field, a kind of particularly regional power grid load prediction management system based on meteorological data, including：Multiple microclimate control points, data storage element, predicting unit and display unit；Microclimate control point is used to monitor the weather information of power transmission and transforming equipment；Data storage element is used to store weather information and electric network information；Predicting unit is used to predict the load prediction of power transmission and transforming equipment and exports the first load prediction information, the second load prediction information and the 3rd load prediction information；Display unit is used for the information on load of display output.The beneficial effect of the technical program is：Load management in power network is accurate, the loss in power network can be effectively reduced, so that energy-saving and emission-reduction.
Description
Technical field
The present invention relates to network load prediction management technical field, a kind of particularly regional power grid based on meteorological data
Load prediction management system.
Background technology
Regional power grid load prediction is a vital task of whole dispatching of power netwoks planning authorities, carries out load prediction work
It is the element task realized the management of dynamic load economic load dispatching and improve intelligent dispatch level.With China's high pressure, extra-high voltage
New technology, the continuous input of new product and application, also increase while bringing the large-scale rational distribution of resources to power network in power network
More risk factors are added, this proposes requirement higher to load prediction, it is desirable to which load prediction can provide accurately pre-
Survey result.
In the load prediction of existing various regional power grids, rarely have and be predicted for meteorology, in the process of prediction
In, while power network is used as itself exposure system in the environment, the influence for receiving weather information is maximum.Discounting for meteorology
Be may result in if information during operation of power networks and various problems occur.
The content of the invention
In view of the above-mentioned problems existing in the prior art, the present invention is intended to provide a kind of regional power grid based on meteorological data is negative
Lotus prediction management system, it is adaptable in regional power grid, regional power grid includes multiple power transmission and transforming equipments and equipped with multiple defeated changes
The power network line of electric equipment；Wherein：
The regional power grid load prediction management system includes：
Multiple microclimate control points, are arranged respectively on the power transmission and transforming equipment, and for monitoring the power network line
Circuit weather information；
Data storage element, connects the power network supplier clothes outside each described microclimate control point, and connection respectively
Business device, for being obtained from the power network vendor server and stores the electric network information of the regional power grid, respectively from each institute
State power transmission and transforming equipment and obtain corresponding facility information, and obtain and store from microclimate control point each described respectively and detect
The circuit weather information, the electric network information includes the facility information of each power transmission and transforming equipment；
Predicting unit, connects the data storage element, is preset with the predicting unit for all power transmission and transformation
The thermal circuit model of equipment, and to obtain each described defeated for being processed respectively according to the circuit weather information and the electric network information
The load prediction information of converting equipment；
The load prediction information includes：
According to the first load prediction information of the power transmission and transforming equipment that the circuit weather information treatment is obtained in real time；
According to the first history weather information with a default very first time span being included in the electric network information
Second load prediction information of the power transmission and transforming equipment that treatment is obtained；And
According to the second history weather information with default second time span being included in the electric network information
3rd load prediction information of the power transmission and transforming equipment that treatment is obtained；
The very first time span is less than second time span；
Display unit, connects the predicting unit, for showing the load prediction information.
Preferably, in the present invention, the circuit weather information includes：
Sunshine duration information on the power network line；And/or
Intensity of sunshine information on the power network line；And/or
Wind speed information on the power network line；And/or
Ambient temperature information on the power network line；And/or
Ambient humidity information on the power network line.
Preferably, in the present invention, the predicting unit includes one first prediction module, and first prediction module is used
According to the circuit weather information and thermal circuit model analysis acquisition the first load prediction information；
The first load prediction information is the real-time described load prediction information of the power transmission and transforming equipment, described first
Load prediction information includes the one first safe operation time threshold and one first safe operation electric current of the power transmission and transforming equipment
Threshold value.
Preferably, in the present invention, the predicting unit includes one second prediction module, and second prediction module is used
According to the circuit weather information, the first history weather information and when having corresponding with the very first time span
Between the first following weather information analysis of span obtain the second load prediction information, the described first following weather information includes
In the electric network information；
The second load prediction information is the power transmission and transforming equipment in described with the described first following weather information
Between the load prediction information in the span identical period, the second load prediction information includes the power transmission and transforming equipment
One second safe operation time threshold and one second safe operation current threshold.
Preferably, in the present invention, second prediction module includes：
First hot road analysis component, for according to the circuit weather information, the described first following weather information and institute
State thermal circuit model treatment and obtain a corresponding first hot road computation model；
Second hot road analysis component, for according to the circuit weather information, the first history weather information and institute
State thermal circuit model treatment and obtain a corresponding second hot road computation model；
First comparing unit, connects the described first hot road analysis component and the second hot road analysis component respectively, is used for
Described first hot road computation model and the second hot road computation model are compared, to obtain one first comparative result；
Second comparing unit, by first comparative result and the electric network information include with the very first time
Span is simultaneously associated with one first history data of the power transmission and transforming equipment and is compared, to obtain one second comparative result,
And the second load prediction information is obtained according to second comparative result.
Preferably, in the present invention, the predicting unit includes one the 3rd prediction module, and the 3rd prediction module is used
According to the second history weather information and thermal circuit model analysis acquisition the 3rd load prediction information；
The 3rd load prediction information is the power transmission and transforming equipment in the period corresponding with second time span
The interior load prediction information, when the 3rd load prediction information includes three safe operation of the power transmission and transforming equipment
Between threshold value and one the 3rd safe operation current threshold.
Preferably, in the present invention, the 3rd prediction module includes：
First prediction unit, for being obtained having with second time span according to the second history weather information prediction
There is the second following weather information of corresponding time span；
Second prediction unit, for being included according to the electric network information with second time span and is associated with
The one second historical operational information prediction of the power transmission and transforming equipment obtains having the corresponding time with second time span
Span is simultaneously associated with the following operation information of the power transmission and transforming equipment；
3rd prediction unit, connects first prediction unit and second prediction unit respectively, for according to described
Second following weather information and the following operation information, obtain the 3rd load prediction and believe using fuzzy theory Algorithm Analysis
Breath.
The beneficial effect of the technical program is：By the weather information and power network of the collection fusion history of meteorological data
Service data, gathered data is more in the present invention, database is complete, analytical calculation model calculates height, it is accurate to predict the outcome so that
Load management in power network is accurate, the loss in power network can be effectively reduced, so that energy-saving and emission-reduction.
Brief description of the drawings
Fig. 1 be preferred embodiments of the present invention in, system principle diagram；
Fig. 2 be preferred embodiments of the present invention in, cut-away view in predicting unit；
Fig. 3 be preferred embodiments of the present invention in, the theory diagram of the first prediction module 31；
Fig. 4 be preferred embodiments of the present invention in, the theory diagram of the second prediction module 32；
Fig. 5 be preferred embodiments of the present invention in, the theory diagram of the 3rd prediction module 32.
Specific embodiment
Lower section will combine the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention be carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art obtained on the premise of creative work is not made it is all its
His embodiment, belongs to the scope of protection of the invention.
It should be noted that in the case where not conflicting, the embodiment in the present invention and the feature in embodiment can phases
Mutually combination.
Below with the drawings and specific embodiments, the invention will be further described, but not as limiting to the invention.
Based on the above-mentioned problems in the prior art, a kind of prediction is now provided accurate, convenience of calculation based on meteorological number
According to regional power grid load prediction management system, it is adaptable in regional power grid, regional power grid include multiple power transmission and transforming equipments 1 and
Equipped with the power network line of multiple power transmission and transforming equipments 1, its system construction drawing is as shown in figure 1, wherein：
Regional power grid load prediction management system includes：
Multiple microclimate control points 2, are arranged respectively on power transmission and transforming equipment 1, and for monitoring the circuit on power network line
Weather information I1；
Data storage element 4, connects the power network provider service outside each microclimate control point 2, and connection respectively
Device 5, the electric network information for obtaining simultaneously storage area power network from power network vendor server 5, respectively from each power transmission and transforming equipment 1
Obtain corresponding facility information, and from each microclimate control point 2 obtain and store the circuit weather information for detecting respectively
I1, electric network information includes the facility information of each power transmission and transforming equipment 1；
Predicting unit 3, connects data storage element 4, and the heat for all power transmission and transforming equipments 1 is preset with predicting unit 3
Road model I2, and the load of each power transmission and transforming equipment 1 is obtained for being processed respectively according to circuit weather information I1 and electric network information
Information of forecasting；
Load prediction information includes：
First load prediction information I3 of the power transmission and transforming equipment 1 obtained according to real-time circuit weather information I1 treatment；
At the first history weather information I7 with a default very first time span being included in electric network information
Second load prediction information I10 of the power transmission and transforming equipment 1 that reason is obtained；And
At the second history weather information I11 with default second time span being included in electric network information
3rd load prediction information I15 of the power transmission and transforming equipment 1 that reason is obtained；
Very first time span is less than the second time span；
Display unit 6, connects predicting unit 3, for showing load prediction information.
In the factor of numerous influence load operating regions and power transmission and transforming equipment load capacity, the influence of meteorologic factor is the most
Significantly, thus research and development carry out load prediction using thermal circuit model I2 and algorithm when, it is considered to various meteorologic factors it is real-time
Online information, it is more accurate to make to predict the outcome.
Traditionally for being that the load of power network is carried out by single model directly under the prediction usual condition of network load
Prediction, as load prediction means well known by persons skilled in the art, generally all can be using thermal circuit model I2 for electricity in gauze
Line of force material load is predicted.
Specifically, in preferred embodiments of the present invention, the thermal circuit model I2 that predicting unit 3 is set up is not only simple defeated
The thermal circuit model I2 of the electric power cable of gauze in converting equipment 1, the change of its controller such as input for also including power transmission and transforming equipment 1
The thermal circuit model I2 of many power transmission and transforming equipments 1 such as depressor, the transformer of output end and power rectifier.
Specifically, in preferred embodiments of the present invention, very first time span is first three day at current time, the second time
Span is the previous moon or the previous year at current time.
To sum up, in technical solution of the present invention, there is provided a kind of regional power grid load prediction management system based on meteorological data
System, management system fusion meteorological data solves prior art by mathematical analysis schemes such as thermal circuit model I2, fuzzy algorithmic approaches
Middle data volume is few, do not predict the outcome inaccurate problem entirely, realizes the prediction effect of high precision high stability degree；In actual production
In life, social resources are saved greatly, improve resource；Utilization rate, has truly reached the effect of environmental protection and energy saving
Really such that it is able to which the effect of perfect solution is provided in miscellaneous high-precision load prediction is realized.
In preferred embodiments of the present invention, circuit weather information I1 includes：Sunshine duration information on power network line；With/
Or the intensity of sunshine information on power network line；And/or the wind speed information on power network line；And/or the environment temperature on power network line
Degree information；And/or the ambient humidity information on power network line.
In preferred embodiments of the present invention, the theory diagram of the first prediction module 31 as shown in Figure 3.Wrapped in predicting unit
Include one first prediction module 31, the first prediction module 31 is used to obtain the according to circuit weather information I1 and thermal circuit model I2 analyses
One load prediction information I3；
First load prediction information I3 is the real-time load prediction information of power transmission and transforming equipment, the first load prediction information I3
One first safe operation time threshold and one first safe operation current threshold including power transmission and transforming equipment.
Specifically, in above-mentioned preferred embodiment of the invention, as shown in Fig. 2 predicting unit 3 includes the first predicting unit
31st, the second predicting unit 32 and the 3rd predicting unit 33.
Specifically, in above-mentioned preferred embodiment of the invention, the first load prediction information I3 is real-time estimate information.
Specifically, in above-mentioned preferred embodiment of the invention, the first safe operation current threshold is i.e. power transmission and transforming equipment
The maximum overload multiple allowed within the time (usually 30 minutes) of regulation；First safe operation time threshold is defeated change
The longest run time that electric equipment is allowed in overload multiple (usually 1.5 or 1.3 times) of regulation.
Specifically, in above-mentioned preferred embodiment of the invention, the first load prediction is current loads predicting strategy：
A number of microclimate control point 2 is installed in regional power grid, collection real-time weather information (such as sunshine, wind speed, environment temperature,
Humidity), fusion weather information sets up thermal circuit model I2 and the analytical calculation of power transmission and transforming equipment 1, there is provided real-time, dynamic first peace
Full-time limit and the second safe current limit.
Specifically, in above-mentioned preferred embodiment, the workflow of the first load prediction is as follows：What is pre-build
In thermal circuit model I2, due to having opened the model interface for allowing to consider meteorologic factor during thermal circuit model I2 is set up, it is
This combined circuit weather information I1 on the basis of model can both obtain real-time load prediction.
In preferred embodiments of the present invention, predicting unit includes one second prediction module 32, and the second prediction module 32 is used
In there is corresponding time span according to circuit weather information I1, the first history weather information I7 and with very first time span
First following weather information I4 analyses obtain the second load prediction information I10, the first future weather information I4 and are included in power network letter
In breath；
Second load prediction information I10 is power transmission and transforming equipment in the time span identical with the first following weather information I4
Load prediction information in period, the second load prediction information I10 includes one second safe operation time threshold of power transmission and transforming equipment
Value and one second safe operation current threshold.
In preferred embodiments of the present invention, the second prediction module 32 includes：
First hot road analysis component 321, for according to circuit weather information I1, the first future weather information I4 and hot road
Model I2 treatment obtains a corresponding first hot road computation model I5；
Second hot road analysis component 322, for according to circuit weather information I1, the first history weather information I7 and hot road
Model I2 treatment obtains a corresponding second hot road computation model I6；
First comparing unit 323, connects the hot road analysis component 322 of the first hot road analysis component 321 and second respectively, is used for
First hot road computation model I5 and the second hot road computation model I6 are compared, to obtain one first comparative result I8；
Second comparing unit 324, by the first comparative result I8 and electric network information include with very first time span simultaneously
The one first history data I9 for being associated with power transmission and transforming equipment is compared, to obtain one second comparative result, and according to
Two comparative results obtain the second load prediction information I10.
Specifically, in above-mentioned preferred embodiment of the invention, the second load prediction information is following three days (containing the same day)
Load prediction information.
Specifically, in above-mentioned preferred embodiment of the invention, the second safe operation current threshold is i.e. power transmission and transforming equipment
The maximum overload multiple allowed within the time (usually 30 minutes) of regulation；Second safe operation time threshold is defeated change
The longest run time that electric equipment is allowed in overload multiple (usually 1.5 or 1.3 times) of regulation.
Specifically, in above-mentioned preferred embodiment, the first following weather information I4 includes following three days letters that predict the weather
Breath (intensity of sunshine when maximum of maximum temperature, minimum windspeed or mean wind speed, fair weather), the first history weather information
I7 includes the weather information of three days in the past, and the first history meteorological data includes that same period load variations trend, load peak are (maximum
Value).
Specifically, as shown in the theory diagram that Fig. 4 is the second prediction module 32, in invention preferred embodiment, second
Load prediction is following three days load prediction strategies：With reference to microclimate station from current weather information (the circuit weather information adopted
I1) and the following weather forecast (the first future weather information I4) in three days that provides of electric power Meteorological Information System, following first is contrasted
History data I9：The same period load variations trend of first three day, load peak (maximum) moment from gas production image information with
The forecast information (the first future weather information I4) of following three days is (maximum of maximum temperature, minimum windspeed or mean wind speed, fine
Intensity of sunshine during bright weather), by the hot road analysis model and calculation and analysis methods of power transmission and transforming equipment 1, there is provided following three days
In real time, dynamic second safety time limit and the second safe current limit.
In preferred embodiments of the present invention, the theory diagram of the 3rd prediction module 33 as shown in Figure 5, in Fig. 5, prediction is single
Unit includes one the 3rd prediction module 33, and the 3rd prediction module 33 is used to obtain the according to the second history weather information I11 analyses
Three load prediction information I15；
3rd load prediction information I15 is that load of the power transmission and transforming equipment within the period corresponding with the second time span is pre-
Measurement information, the 3rd load prediction information I15 includes one the 3rd safe operation time threshold of power transmission and transforming equipment and one the 3rd peace
Row current threshold for the national games.
In the preferred embodiment of the invention, the 3rd prediction module 33 includes：
First prediction unit 331, for being obtained having with the second time span according to the second history weather information I11 predictions
The following weather information I13 of the second of corresponding time span；
Second prediction unit 332, for including according to electric network information with the second time span and is associated with defeated change
The one second historical operational information I12 predictions of electric equipment are obtained to be had corresponding time span and associates with the second time span
In the following operation information I14 of power transmission and transforming equipment；
3rd prediction unit 333, connects the first prediction unit 331 and the second prediction unit 332, for according to second respectively
Following weather information I13 and following operation information I14, the 3rd load prediction information I15 is obtained using fuzzy theory Algorithm Analysis.
So-called fuzzy algorithmic approach is：By the analysis to real-world object, processing data simultaneously builds fuzzy type Mathematical Modeling.With person in servitude
Data element set flexibly into fuzzy set, is determined membership function by category relation, is carried out more than fuzzy statistics empirically with people's
Mental process, what it was carried out often by mental measurement, what it was studied is things ambiguity in itself.Due to meteorological system
Unstability and randomness, by fuzzy algorithmic approach obtain information of forecasting it is more reliable.
Specifically, in above-mentioned preferred embodiment, the 3rd safe operation current threshold is i.e. power transmission and transforming equipment in regulation
Time (usually 30 minutes) in the maximum overload multiple that is allowed；3rd safe operation time threshold is power transmission and transforming equipment
The longest run time allowed in overload multiple (usually 1.5 or 1.3 times) of regulation.
Specifically, in above-mentioned preferred embodiment, history weather information (the is obtained from grid dispatching center database
Two history weather information I11) and history data (the second historical operational information I12), according to fuzzy theory algorithm, choose phase
Like day, fuzzy matching is carried out, secondary month (containing time week) load prediction (the 3rd load prediction information I15) plan is modified and adjusted
It is whole, provide relatively accurate predicting the outcome.
Specifically, in above-mentioned preferred embodiment, (second goes through acquisition history weather information from Grid Central database
History weather information I1) and history data (the second historical operational information I12) by after Fuzzy Processing, prediction obtain the
Two future weather information I13 and following operation information I14, and the characteristic day for most matching is found in Grid Central database, obtain
Go out accurate load prediction results, and export the 3rd and meet information of forecasting I15.
Specifically, in above-mentioned preferred embodiment of the invention, the second history weather information I11 include monthly mean temperature,
The of that month highest temperature and the lowest temperature, the ambient parameter at of that month peak load moment (maximum temperature the moon maximum, minimum windspeed
Or intensity of sunshine when mean wind speed, fair weather)；Second historical operational information I12 includes that the monthly average of power transmission and transforming equipment 1 is born
Lotus and work as maximum monthly load.
Historical information collection period is：Same period last year the first four months, this month and secondary month, the same period in this year the first four months.
Preferred embodiments of the present invention are these are only, embodiments of the present invention and protection domain is not thereby limited, it is right
For those skilled in the art, should can appreciate that all utilization description of the invention and equivalent done by diagramatic content are replaced
Change and obviously change resulting scheme, should be included in protection scope of the present invention.
Claims (7)
1. a kind of regional power grid load prediction management system based on meteorological data, it is adaptable in regional power grid, the region electricity
Net includes multiple power transmission and transforming equipments and the power network line equipped with multiple power transmission and transforming equipments；It is characterized in that：
The regional power grid load prediction management system includes：
Multiple microclimate control points, are arranged respectively on the power transmission and transforming equipment, and for monitoring the line on the power network line
Road weather information；
Data storage element, connects the power network vendor server outside each described microclimate control point, and connection respectively,
For being obtained from the power network vendor server and the electric network information of the regional power grid is stored, respectively from defeated change each described
Electric equipment obtains corresponding facility information, and obtains and described in storing and detecting from microclimate control point each described respectively
Circuit weather information, the electric network information includes the facility information of each power transmission and transforming equipment；
Predicting unit, connects the data storage element, is preset with the predicting unit for all power transmission and transforming equipments
Thermal circuit model, and obtain each described power transmission and transformation for being processed respectively according to the circuit weather information and the electric network information
The load prediction information of equipment；
The load prediction information includes：
According to the first load prediction information of the power transmission and transforming equipment that the circuit weather information treatment is obtained in real time；
According to the treatment of the first history weather information with a default very first time span being included in the electric network information
Second load prediction information of the power transmission and transforming equipment for obtaining；And
According to the treatment of the second history weather information with default second time span being included in the electric network information
3rd load prediction information of the power transmission and transforming equipment for obtaining；
The very first time span is less than second time span；
Display unit, connects the predicting unit, for showing the load prediction information.
2. regional power grid load prediction management system according to claim 1, it is characterised in that the circuit weather information
Including：
Sunshine duration information on the power network line；And/or
Intensity of sunshine information on the power network line；And/or
Wind speed information on the power network line；And/or
Ambient temperature information on the power network line；And/or
Ambient humidity information on the power network line.
3. regional power grid load prediction management system according to claim 1, it is characterised in that wrapped in the predicting unit
One first prediction module is included, first prediction module is used to be obtained according to the circuit weather information and thermal circuit model analysis
Obtain the first load prediction information；
The first load prediction information is the real-time described load prediction information of the power transmission and transforming equipment, first load
Information of forecasting includes the one first safe operation time threshold and one first safe operation current threshold of the power transmission and transforming equipment.
4. regional power grid load prediction management system according to claim 1, it is characterised in that wrapped in the predicting unit
One second prediction module is included, second prediction module is used for according to the circuit weather information, the meteorological letter of first history
Breath and the first following weather information analysis for having corresponding time span with the very first time span obtain described second
Load prediction information, the described first following weather information is included in the electric network information；
The second load prediction information span that is the power transmission and transforming equipment in described with the described first following weather information
The load prediction information in the degree identical period, the second load prediction information includes the one the of the power transmission and transforming equipment
Two safe operation time thresholds and one second safe operation current threshold.
5. regional power grid load prediction management system according to claim 4, it is characterised in that second prediction module
Include：
First hot road analysis component, for according to the circuit weather information, the described first following weather information and the heat
Road model treatment obtains a corresponding first hot road computation model；
Second hot road analysis component, for according to the circuit weather information, the first history weather information and the heat
Road model treatment obtains a corresponding second hot road computation model；
First comparing unit, connects the described first hot road analysis component and the second hot road analysis component respectively, for by institute
State the first hot road computation model and the second hot road computation model is compared, to obtain one first comparative result；
Second comparing unit, by first comparative result and the electric network information include with the very first time span
And be associated with one first history data of the power transmission and transforming equipment and be compared, to obtain one second comparative result, and root
The second load prediction information is obtained according to second comparative result.
6. regional power grid load prediction management system according to claim 1, it is characterised in that wrapped in the predicting unit
One the 3rd prediction module is included, the 3rd prediction module is used to obtain the described 3rd according to the second history weather information analysis
Load prediction information；
The 3rd load prediction information is the power transmission and transforming equipment within the period corresponding with second time span
The load prediction information, the 3rd load prediction information includes one the 3rd safe operation time threshold of the power transmission and transforming equipment
Value and one the 3rd safe operation current threshold.
7. regional power grid load prediction management system according to claim 6, it is characterised in that the 3rd prediction module
Including：
First prediction unit, for obtaining that there is phase with second time span according to the second history weather information prediction
The following weather information of the second of corresponding time span；
Second prediction unit, for being included according to the electric network information with second time span and described in being associated with
The one second historical operational information prediction of power transmission and transforming equipment obtains having corresponding time span with second time span
And it is associated with the following operation information of the power transmission and transforming equipment；
3rd prediction unit, connects first prediction unit and second prediction unit, for according to described second respectively
Following weather information and the following operation information, the 3rd load prediction information is obtained using fuzzy theory Algorithm Analysis.
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