CN106097145A - Comprehensive energy network energy regulator control system - Google Patents
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- 238000004146 energy storage Methods 0.000 claims abstract description 18
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- 230000001172 regenerating effect Effects 0.000 abstract description 2
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- 241000866860 Comatula solaris Species 0.000 description 1
- 241001269238 Data Species 0.000 description 1
- 241000196324 Embryophyta Species 0.000 description 1
- 239000005955 Ferric phosphate Substances 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000003990 capacitor Substances 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
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- 230000001419 dependent effect Effects 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
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- 230000007613 environmental effect Effects 0.000 description 1
- 229940032958 ferric phosphate Drugs 0.000 description 1
- 230000020169 heat generation Effects 0.000 description 1
- WBJZTOZJJYAKHQ-UHFFFAOYSA-K iron(3+) phosphate Chemical compound [Fe+3].[O-]P([O-])([O-])=O WBJZTOZJJYAKHQ-UHFFFAOYSA-K 0.000 description 1
- 229910000399 iron(III) phosphate Inorganic materials 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
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Abstract
The invention discloses a kind of comprehensive energy network energy regulator control system.In order to adapt to the multivariable control and regulation of comprehensive energy network, the present invention combines the practical situation of comprehensive energy network demonstration project, contains the functional module such as comprehensive energy network-related data acquisition monitoring and prediction, Optimized Operation, operation control.Under conditions of the comprehensive energy network regulation system that the present invention proposes can run constraint meeting system, consider each distributed power source in comprehensive energy network, energy storage device and variation load operation feature, realize optimizing of comprehensive energy network to run and the reasonable distribution of energy, maximally utilise regenerative resource, it is ensured that the economy that whole energy network runs.
Description
Technical field
The invention belongs to energy network control technique field, be specifically related to a kind of comprehensive energy network regulation system.
Background technology
The comprehensive distributed power source of comprehensive energy network system, energy storage device, energy conversion device, associated loadings and monitoring,
Protection device, formed can self-contr ol, the autonomous system protecting and manage, mesolow aspect realizes distributed generation technology
Flexible, efficient application, solve substantial amounts, every subject matter of various informative comprehensive energy, simultaneously because it possesses
Certain energy management functionality, and maintain local optimum and the balance of power as far as possible, can effectively reduce system operations staff's
Scheduling difficulty.
Conventional energy management system is generally directed to the safety of bulk power grid, high-quality, economical operation and environmental protection and benefit is assisted
Tuning, and in comprehensive energy network, adjustable variable will become more to enrich, as distributed power source meritorious exert oneself,
The meritorious output of energy-storage system and the running status of all kinds of power electronic equipment, critical electrical switch cut-off state etc..How
Realizing its economical operation by comprehensive energy network energy Optimized Operation, exploitation can give full play to comprehensive energy network agile peace
The comprehensive energy network energy management system of the advantage such as the most reliable, is vital problem in comprehensive energy network research.
Summary of the invention
It is an object of the invention to overcome the deficiencies in the prior art, it is provided that a kind of comprehensive energy network energy regulator control system.
The present invention is achieved by the following technical solutions:
A kind of comprehensive energy network energy regulator control system, it comprises the following steps:
1, set up module, module needed for comprehensive energy network energy management system is set, including: architectural framework module, number
According to the senior application module of acquisition module and energy management；
2, architectural framework module is divided, including basic platform module, public service and tool model and senior should
Use module；Public service includes with tool model: based data service module, aid module, man-machine conversation's module；Senior
Application module includes: energy predicting module, Optimized Operation module, intelligent control module；
3, data acquisition module connects the distributed power source in energy network and energy storage device, uses basis number in step 2
According to service module data it is acquired and monitors, and assigning corresponding control instruction；
4, the senior application module of energy management, uses the submodule in the middle-and-high-ranking application module of step 2, according to comprehensive energy
The operational mode of network, in conjunction with the running status that distributed power source and energy storage device are current, customer charge is powered grade, and energy is pre-
The information decisions such as survey, the real-time running state of adjustment comprehensive energy network.
Advantages of the present invention and having the beneficial effect that
A kind of comprehensive energy network energy regulator control system of invention.Adjust to adapt to multivariable control of comprehensive energy network
Joint, the present invention combines the practical situation of comprehensive energy network demonstration project, contains comprehensive energy network-related data acquisition monitoring
And the functional module such as prediction, Optimized Operation, operation control.The comprehensive energy network regulation system that the present invention proposes can meet
Under conditions of system runs constraint, consider each distributed power source in comprehensive energy network, energy storage device and variation load
Operation characteristic, it is achieved optimizing of comprehensive energy network runs and the reasonable distribution of energy, maximally utilises regenerative resource,
Ensure the economy that whole energy network runs.To improving China's utilization of energy level, advancing China's comprehensive energy network to build
Setting tool has guiding significance.
Accompanying drawing explanation
Fig. 1 is architectural framework Module Division schematic diagram.
Fig. 2 is the data circulation figure that data are acquired and monitor.
Fig. 3 is intelligent optimal control flow chart.
Fig. 4 is illumination prediction curve.
Fig. 5 is load prediction curve.
Detailed description of the invention
Technical scheme is further illustrated below in conjunction with specific embodiment.
A kind of comprehensive energy network energy regulator control system of invention, including architectural framework module, data acquisition module, Yi Jineng
Buret manages senior application module.
Comprehensive energy network energy regulator control system is divided by architectural framework module from architectural framework aspect, as it is shown in figure 1,
It specifically includes:
1. basic platform module, the fundamental operation hardware of energy system, its computer mainly supported includes: a.HP-
Alpha；b.IBM；c.SUN；d.PC；The main operating system supported includes: a.Tru64；b.IBM AIX；c.Solaris；
d.Windows；e.Linux；The main relational database supported includes: a.Oracle；b.SQL Server；c.DB2；
d.Sybase。
2. public service and tool model, is made up of multiple function sub-modules, and multiple function sub-modules use general letter
Breath model and interface standard, be linked in distributed component management bus, be coupled into an entirety with basic platform module.Described
Multiple function sub-modules specifically include:
A. based data service module, based data service operates on communication server, and it specifically includes:
(1) preposition Communications service module, is responsible for communication channel management, stipulations parsing and data prediction；
(2) Real-time Data Service module, is responsible for the data gathered carrying out formula calculating, producing all kinds of items of system；
(3) item issuing service module, is responsible for issuing all kinds of items, and the remote control/remote regulating issuing man machine interface has instructed
Become it to select, return to school, execution process；
(4) historical storage service module, is responsible for being saved in cache file all kinds of items produced depositing for historical data
Storage program reads.
B. aid module, including:
(1) graphics tools module, carry out pel definition, graphic plotting, physical object and attribute definition thereof, measurement map,
Figure provides management, Object Management group, figure shows and Refresh Data, event definition, user operation, interface customizing, alarm and animation prop up
Hold.
(2) Communications service configuration tool module, carries out protocol monitor, stipulations debugging, dynamically increases plant stand, passage, dynamically
Change stipulations and the configuration information of measuring point.
(3) report tool module, carries out the customization of report form template, and form attribute is arranged, report parameter is arranged, form is raw
One-tenth, report printing, report modification, form browse.
C. man-machine conversation's module, operates on each work station, including:
(1) graphic monitoring module, this module depends on the monitoring pattern generated by graphical tool, can represent comprehensive energy
Network primary equipment annexation and need telemetry, the remote signalling state that emphasis monitors, issues the remote control of user, remote regulating instruction,
Equipment is carried out listing operation, and carry out necessity manually puts number；
(2) item alarm module, shows the various items that item issuing service is issued, and generally supports with alarm window, bullet
Window, the mode such as the sound, voice, note notifies the generation of customer incident.
(3) historical query module, all kinds of historical datas of inquiry system storage, by report tool, variation can be realized
Data exhibiting；
(4) energy management senior application result display module, the result of calculation of display systems senior application algorithm.By report
Table instrument, can realize diversified data exhibiting.
The most senior application module, according to actual needs, calls with specified time interval in particular moment, and the result of output can
Select automatically to be handed down to equipment.Specifically include:
A. energy predicting module, comprehensive energy energy predicting algorithm is i.e. to need randomness various in comprehensive energy network
The electric power of power supply generated output and load is predicted, thus makes comprehensive energy residue of network organization load prediction.This is pre-
Survey result using the input as Optimization scheduling algorithm.
B. Optimized Operation module, Optimization scheduling algorithm is based on energy predicting result, to consider the online cost of power, receipts
Benefit, the factor such as life consumption that energy storage produces due to electric discharge, at interior economy objectives, is eventually found each period online
Power and the optimal case of energy storage charge-discharge electric power.
C. intelligent control module, the practical degree of the result that Optimized Operation obtains, it is heavily dependent on energy predicting
Accuracy.Intelligent control algorithm judges according to complex energy network real time execution operating mode, can make up excellent to a certain extent
Change the deviation between the energy storage device operational plan of scheduling output and actual demand.
Data acquisition module connects the distributed power source in energy network and energy storage device to gather data, data acquisition module
Block is connected with based data service module, is acquired data and monitors, and data circulate as shown in Figure 2.
The present invention passes through the senior application module of energy management, in conjunction with the dependency number gathering in data acquisition module and monitoring
It is believed that breath, decision-making also adjusts the real-time running state of complex energy network.Including:
1. illumination prediction module, short-term photovoltaic power generation power prediction coordinates the solar irradiation of photovoltaic by short-term illumination prediction
Degree generated output curve realizes.
Short-term illumination prediction uses integrated intelligent algorithm based on BP neutral net and single objective genetic algorithm to be predicted,
Specifically comprise the following steps that
A. in single objective genetic algorithm, the data of each individuality obtain as the threshold value of BP neutral net, BP neural network prediction
The error arrived is as the desired value of genetic algorithm.
First, each individuality of genetic algorithm calls BP neural computing and obtains respective desired value；
C. secondly, according to the size of desired value, all individualities are ranked up, therefrom choose the individuality meeting constraints,
The most again to selecting the individuality obtained to intersect, make a variation, obtain new population；
The most then new population is utilized to repeat process above, until iterating to certain algebraically.
E. from final population, find out an optimum individual data items come nerve net as the threshold value of BP neutral net
Network is trained, and obtains the neutral net of optimum
2. load prediction module, short-term load forecasting uses prediction algorithm based on similar day and BP neutral net to carry out pre-
Survey, specifically comprise the following steps that
First, based on experience value and historical data is carried out a setting analysis to set up characteristic quantity mapping table；
B. coordinate neutral net need set up training sample database, use it to be predicted.
3. intelligent control module, it is achieved the target of the intelligent control algorithm of Based Intelligent Control is properly functioning at guarantee equipment
Meet the constraints of online power under premise as far as possible and extend the service life of energy storage.Specifically comprise the following steps that
First, detecting the state of each group of energy storage, statistics meets the energy storage device that discharge and recharge SOC limits, and then judges current
Online power whether less than threshold value.If less than threshold value, if the photovoltaic that detection is the most available free, then come into operation.If it is big
In threshold value, then reset charge-discharge electric power the cut-out photovoltaic of energy storage, make online power less than/equal to threshold value.Flow process
Figure is as shown in Figure 3.
Below in conjunction with specific embodiment, the present invention is described further:
Certain roof photovoltaic building has photovoltaic 29 groups, altogether 290kWp, ferric phosphate lithium cell 648kWh, super capacitor 100kW
× 60s, load 270kW, online threshold value is 50kW.For this light-preserved system, carry out energy predicting and Optimized Operation and carry out point
Analysis.
By the senior application module of energy management, it is believed that in conjunction with the dependency number gathering in data acquisition module and monitoring
Breath, decision-making also adjusts the real-time running state of complex energy network, and this system actual input coefficient operation result sees accompanying drawing 4 He
Accompanying drawing 5:
Illumination is predicted, as shown in Figure 4, in the period, illumination gradually weakens, and photovoltaic is exerted oneself and can be gradually reduced, and needs in actual motion
Energy storage device to be leaned on makes up the part that illumination reduces.
Load prediction, as it is shown in figure 5, load has of short duration lifting between 15:00～16:00, needs to increase light and stores up system
The output of system, to maintain the power-balance of comprehensive energy network.
From actual operation curve it can be seen that put into operation in the period at whole algorithm, energy type energy storage charging and discharging curve trend
Basic the most contrary with photovoltaic discharge curve, comprehensive energy network contact linear heat generation rate overall stability and be less than threshold value (50kW), algorithm rises
Peak load shifting and the effect of dominant eigenvalues restriction are arrived.
Above the present invention is done exemplary description, it should explanation, in the situation of the core without departing from the present invention
Under, any simple deformation, amendment or other those skilled in the art can not spend the equivalent of creative work equal
Fall into protection scope of the present invention.
Claims (1)
1. a comprehensive energy network energy regulator control system, it is characterised in that: it comprises the following steps:
1, set up module, module needed for comprehensive energy network energy management system is set, including: architectural framework module, data acquisition
Collection module and the senior application module of energy management；
2, architectural framework module is divided, including basic platform module, public service and tool model and senior application mould
Block；Public service includes with tool model: based data service module, aid module, man-machine conversation's module；Senior application
Module includes: energy predicting module, Optimized Operation module, intelligent control module；
3, data acquisition module connects the distributed power source in energy network and energy storage device, uses basic data clothes in step 2
Data are acquired and monitor by business module, and assign corresponding control instruction；
4, the senior application module of energy management, uses the submodule in the middle-and-high-ranking application module of step 2, according to comprehensive energy network
Operational mode, in conjunction with the running status that distributed power source and energy storage device are current, customer charge is powered grade, energy predicting etc.
Information decision, the real-time running state of adjustment comprehensive energy network.
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| CN201610439330.XA CN106097145A (en) | 2016-06-15 | 2016-06-15 | Comprehensive energy network energy regulator control system |
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| CN201610439330.XA CN106097145A (en) | 2016-06-15 | 2016-06-15 | Comprehensive energy network energy regulator control system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110928251A (en) * | 2019-10-16 | 2020-03-27 | 中国海洋石油集团有限公司 | Energy control system, method, equipment and storage medium |
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| CN101630840A (en) * | 2009-08-12 | 2010-01-20 | 电子科技大学 | Intelligent control system for microgrid energy |
| CN105159093A (en) * | 2015-10-08 | 2015-12-16 | 国电南京自动化股份有限公司 | Model-self-adapting-based energy optimal control system of microgrid and design method thereof |
| CN105243476A (en) * | 2015-09-25 | 2016-01-13 | 华中科技大学 | Architecture of hierarchical energy storage management system for high-permeability distributed photovoltaics |
| CN105356492A (en) * | 2015-11-30 | 2016-02-24 | 华南理工大学 | Energy management simulation system and method suitable for micro-grid |
-
2016
- 2016-06-15 CN CN201610439330.XA patent/CN106097145A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101630840A (en) * | 2009-08-12 | 2010-01-20 | 电子科技大学 | Intelligent control system for microgrid energy |
| CN105243476A (en) * | 2015-09-25 | 2016-01-13 | 华中科技大学 | Architecture of hierarchical energy storage management system for high-permeability distributed photovoltaics |
| CN105159093A (en) * | 2015-10-08 | 2015-12-16 | 国电南京自动化股份有限公司 | Model-self-adapting-based energy optimal control system of microgrid and design method thereof |
| CN105356492A (en) * | 2015-11-30 | 2016-02-24 | 华南理工大学 | Energy management simulation system and method suitable for micro-grid |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110928251A (en) * | 2019-10-16 | 2020-03-27 | 中国海洋石油集团有限公司 | Energy control system, method, equipment and storage medium |
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