CN109510247A - A kind of controllable burden cooperates with optimal control method with clean energy resource generation technology - Google Patents
A kind of controllable burden cooperates with optimal control method with clean energy resource generation technology Download PDFInfo
- Publication number
- CN109510247A CN109510247A CN201811367753.0A CN201811367753A CN109510247A CN 109510247 A CN109510247 A CN 109510247A CN 201811367753 A CN201811367753 A CN 201811367753A CN 109510247 A CN109510247 A CN 109510247A
- Authority
- CN
- China
- Prior art keywords
- module
- load
- power
- control
- layer
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000005516 engineering process Methods 0.000 title claims abstract description 37
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000005457 optimization Methods 0.000 claims abstract description 74
- 230000003993 interaction Effects 0.000 claims abstract description 14
- 230000004044 response Effects 0.000 claims abstract description 14
- 230000005611 electricity Effects 0.000 claims description 67
- 238000009826 distribution Methods 0.000 claims description 25
- 238000004146 energy storage Methods 0.000 claims description 23
- 238000004458 analytical method Methods 0.000 claims description 19
- 238000005259 measurement Methods 0.000 claims description 15
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 13
- 238000004378 air conditioning Methods 0.000 claims description 10
- 238000004422 calculation algorithm Methods 0.000 claims description 9
- 238000012544 monitoring process Methods 0.000 claims description 9
- 230000001105 regulatory effect Effects 0.000 claims description 9
- 230000001276 controlling effect Effects 0.000 claims description 8
- 230000008859 change Effects 0.000 claims description 6
- 238000010248 power generation Methods 0.000 claims description 5
- 230000008901 benefit Effects 0.000 claims description 4
- 241001269238 Data Species 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 230000033228 biological regulation Effects 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000002485 combustion reaction Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- 238000005286 illumination Methods 0.000 claims description 3
- 230000006641 stabilisation Effects 0.000 claims description 3
- 238000011105 stabilization Methods 0.000 claims description 3
- 238000012546 transfer Methods 0.000 claims description 3
- 238000004140 cleaning Methods 0.000 claims description 2
- 230000005619 thermoelectricity Effects 0.000 claims description 2
- 230000000295 complement effect Effects 0.000 abstract description 2
- 240000002853 Nelumbo nucifera Species 0.000 description 3
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 3
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 241000196324 Embryophyta Species 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000029087 digestion Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000010408 sweeping Methods 0.000 description 1
Classifications
-
- 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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
-
- H02J3/382—
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
Proposed by the present invention is that a kind of controllable burden with clean energy resource generation technology cooperates with optimal control method.Controllable burden and clean energy resource generation technology cooperative control method are divided into global operational decisions system and active load management system in the form of layer architecture.Global operational decisions system is the core of whole system, including global optimization layer, Collaborative Control layer and control layer, the active load management system are divided into load optimal layer and real-time response layer using the form of layering on the spot.Since the present invention uses layered cooperative control technology, it is complementary with the characteristic of clean energy resource generation technology that controllable burden is realized by the interaction of network load, whole cooperative scheduling is realized to the controllable burden in region, power swing caused by intermittent formula power supply can not only be inhibited, and the receiving ability of the whole network new energy can be improved, while also filling out peak to cut paddy and providing technological means.It is suitable for cooperateing with optimal control method application with clean energy resource generation technology as controllable burden.
Description
Technical field
The present invention relates to dispatching of power netwoks control technology field, specifically a kind of controllable burden and clean energy resource power generation skill
Art cooperates with optimal control method.
Background technique
In traditional electric system, source side is mainly made of normal power supplies such as thermoelectricity, water power, and load side is mainly by can not
The conventional load of control forms, and computer is transmitted to load side, power grid and source side according to the variation of load by power grid by source side
Rule is passively adjusted by Dispatching Control System.As clean energy resource generation technology, controllable burden, energy storage device etc. are new
The appearance of element, traditional management and running mode is no longer satisfied following electricity needs, in order to promote power distribution network to cleaning
The digestion capability of energy source utilizing electricity generating techn reduces peak-valley difference and network loss in power distribution network operational process, promotes terminal user to electric power
System optimized operation is actively engaged in ability, further excavates the equipment utilization potentiality of electric system, effectively promotion Integrated Energy
Using level, needs the various energy to access power distribution network to carry out collaboration optimal control, make full use of various adjustable resources, optimize
Dispatching technique, reducing influences brought by distributed generation resource, promotes the on-road efficiency and economic benefit of power distribution network.
At present for collaboration optimal control mode used by power distribution network it is general there are two types of: first is that source controls, i.e., to list
One distributed electrical source point, energy-storage units, microgrid are controlled；Second is that the control of net end, i.e., from distribution level to multi-energy system
The control concentrated.But both of which has limitation, first appears as and carries out in a certain respect just for source, net, lotus
Control cannot carry out collaboration optimal control from whole angle；Secondly the resource of power distribution network is not distinguish, does not consider voltage
Grade is difficult to accomplish collaboration optimization.
Summary of the invention
For overcome the deficiencies in the prior art, the present invention provide a kind of controllable burden cooperateed with clean energy resource generation technology it is excellent
Change control method, system is divided into global operational decisions system and active load management system using the form of layer architecture by this method
System, by global optimization layer, Collaborative Control layer, on the spot control layer, load optimal layer and real-time response layer, optimization is calculated, is cooperateed with
Control solves the technical issues of cooperateing with optimal control.
The solution adopted by the present invention to solve the technical problem is that:
Controllable burden and clean energy resource generation technology cooperative control method are divided into global operational decisions system in the form of layer architecture
System and active load management system.
The overall situation operational decisions system is planned as a whole and is optimized to power distribution network according to specific optimization aim, according to each
Level operation information collected and basic data realize the optimization of global level in conjunction with the prediction result that clean energy resource generates electricity
Operation calculates, and collaborative controller and distributed power supply management unit is cooperated to realize that power-balance tracking is transported with optimization on this basis
Row.
Global operational decisions system is the core of whole system, including global optimization layer, Collaborative Control layer and is controlled on the spot
Layer, wherein global optimization layer includes optimizing operating mode module, global operational decisions optimization module, clean energy resource generation technology function
Rate optimal value module, wind-powered electricity generation prediction module, photovoltaic prediction module and load prediction module；Collaborative Control layer includes cooperation interaction control
Device module processed；Control layer includes energy storage control administrative unit module, energy-storage module, cold, heat and electricity triple supply administrative unit mould on the spot
Block, cold, heat and electricity triple supply module, wind-powered electricity generation control administrative unit module, wind-powered electricity generation module, photovoltaic control administrative unit module and photovoltaic
Module.
The global optimization layer passes through lower layer's collaborative controller, distribution using global operational decisions system main website as core
Power supply controls administrative unit equipment and acquires to full electric network operating status, in addition predicting wind-powered electricity generation, photovoltaic prediction, the reality of load prediction
When data, by multi-objective optimization algorithm to power distribution network carry out the overall situation on optimization calculate, to obtain excellent in lower region
Change operating index, to instruct lower layer's Collaborative Control layer and the on the spot real-time combustion adjustment of control layer progress.
Global operational decisions optimization module is analysis load prediction, wind-powered electricity generation prediction, photovoltaic prediction data, receives lower layer's collaboration
The measurement data of interaction controller, and then obtain the power optimization value of clean energy resource generation technology.
Load prediction module, wind-powered electricity generation prediction module, photovoltaic prediction module are analysis load, the historical data of wind-powered electricity generation, photovoltaic
The data acquired in real time obtain prediction data in turn and are sent to global operational decisions module progress decision.
Clean energy resource generation technology power optimization value module is to receive the optimal value transmission of global operational decisions optimization module
Give cooperation interaction controller module.
The Collaborative Control layer is using coordinated exchange controller as core, based on given by global operational decisions optimization program
Optimizing index and reference information carry out autonomous optimization to the distributed generation resource in affiliated range, and pass through distributed power supply management list
Element apparatus controls different types of distributed generation resource.Collaborative Control layer mainly maintains the stabilization of each control area, realizes
It is interacted with higher level's global decisions operating system.
Cooperation interaction controller module is the power optimization value for the clean energy resource generation technology that will be received, and is sent respectively to
Control layer energy storage controls administrative unit module, cold, heat and electricity triple supply administrative unit module, wind-powered electricity generation control unit management module on the spot
Administrative unit module is controlled with photovoltaic, and then controls energy-storage module, cold, heat and electricity triple supply module, wind-powered electricity generation module and photovoltaic module
Power.
Power supply is core to the control layer on the spot in a distributed manner, is carried out to the same same type distributed generation resource with electrical nodes
Scheduling, realizes the Collaborative Control of each distributed generation resource.Monitoring layer passes through measurement to equipment running status acquisition and right on the spot
The abnormal operating condition of equipment gives a warning, this layer by Collaborative Control layer from computer network communication to upper layer on deliver letters breath
And control instruction is received, this layer carries plant stand side operations staff to the monitoring function of equipment simultaneously.
Energy storage control administrative unit module is to receive the power optimization value of collaborative controller and run to all kinds of energy-storage systems
State is monitored in real time, not only can also can adjust in real time the random fluctuation of energy source power with peak load shifting；Acquire energy storage mould
The realtime power information of block.
Cold, heat and electricity triple supply administrative unit module is to receive the power optimization value of collaborative controller and to all kinds of power generator
Real time monitoring is adjusted in real time according to power grid needs；Acquire the realtime power information of cold, heat and electricity triple supply module.
Wind-powered electricity generation control unit management module is to receive the power optimization value of collaborative controller and by acquisition weather forecast letter
Breath, meteorological real time data provide basic data for wind-powered electricity generation generator unit；Acquire the realtime power information of wind-powered electricity generation module.
Photovoltaic control unit management module is to receive the power optimization value of collaborative controller and to by temperature collection, illumination
Intensity, etc. real time datas photovoltaic power generation apparatus is monitored, adjusted in real time according to power grid demand；Acquire photovoltaic module
Realtime power information.
The active load management system is divided into load optimal layer and real-time response layer using the form of layering.Load is excellent
Changing layer includes load target power module, active load optimal operation module, load Analysis module, user's control target power value
Module, load optimal operation curve module, user demand module, measurement data module and historical data module；Real-time response layer
Including user's intelligent terminal module, intelligent socket module, water heater module, intelligent infrared controller module, air-conditioning module, intelligence
Switch module and light, television module.
It is the recipient and the person of being adjusted of an execution, electric power that active load management system, which is mainly reflected in load not merely,
System has more initiative and flexible control to air-conditioning, water heater, headlamp traditional lighting mode.In addition user can be according to need
Seek formulation power program.
The load optimal layer receives the optimized operation index of upper layer overall situation operational decisions system, according to active load optimal
Algorithm optimizes calculating.The algorithm is mainly according to user demand with the user power utilization habit monitored and each customer charge
Potential management is estimated, calculates load target power value of each user in future time on this basis and optimization is bent
Line, and issue underlying User intelligent terminal.
The historical data of user demand value and active load that load optimal layer is acquired by intelligent subscriber terminal determines
The regulated value of controllable burden, the load control objective value for receiving global operational decisions system.
The major function that active load optimal runs module is the load target control function for receiving global optimization control system
Rate value sends family demand to demand history data, user's intelligent terminal and measurement data carries out load Analysis, and then obtains user
Control the performance number and load optimal operation curve of target.
The major function of user's control target power value module is the load mesh for obtaining active load optimal operation module
Mark performance number is sent to user's intelligent terminal to carry out load power control.
The major function of load optimal operation curve module is the load optimal for obtaining active load optimal operation module
Operation curve is sent to user's intelligent terminal to controlling the operation curve of load,
The real-time response layer obtains the adjusting priority orders of controllable burden, and obtains the state of controllable burden.
User's intelligent terminal module is to receive the user optimization control target value and load optimal operation song of load optimal layer
Controlling value is sent respectively to intelligent socket module, intelligent infrared controller module, intelligent switch module by line, and is realized to negative
The control of lotus；The real-time measuring data of acquisition user demand and each load is sent to load optimal layer.
The core equipment of real-time response layer is user's intelligent terminal, mainly includes intelligent socket, intelligent infrared controller, intelligence
It can switch, optimize operation control for realizing to individual consumer's load, according to the target power value of the user and the following fortune
Row curve arranges its power mode concretely, and corrects operation curve.User is no longer simple electricity consumer, but gradually at
Behavior for energy producers and consumer, electricity consumption will be more flexible, and the service of acquisition is more various, to reduce electric system
Cost, improve the total benefit of power grid.
Intelligent socket module is to receive the load target control value of user's intelligent terminal to control the electric appliances such as water heater
Runing time；The electric appliances real time execution power such as acquisition water heater simultaneously feed back to user's intelligent terminal.
Intelligent infrared controller module is to receive the load target control value of user's intelligent terminal to remotely control air-conditioning
The runing time of equal electric appliances；The electric appliances real time execution power such as acquisition air-conditioning simultaneously feed back to user's intelligent terminal.
Intelligent switch module is to receive the load target control value of user's intelligent terminal to control the electric appliances such as light, TV
Shutdown；Acquisition switch, TV electric appliance real time execution power simultaneously feed back to user's intelligent terminal.
The step of controllable burden cooperates with optimal control with clean energy resource generation technology:
(1) priority orders of various controllable burden units are obtained in real time by user's intelligent terminal, this sequentially can be artificially
Setting can also be to be obtained after load Analysis；
(2) state of each controllable burden, including operating status and operation power are obtained by user's intelligent terminal；
(3) regulated value of controllable burden is determined according to the user demand value of controllable burden and historical data etc.；
(4) regulation performance of controllable burden is assessed, judges whether to reach the adjusting moment；
(5) regulated value of controllable burden is sent to by global operational decisions system by active load management system, carries out distribution
The Analysis of Topological Structure of net；
(6) operating status of power distribution network is assessed；
(7) distribution power system load flow calculation is carried out；
(8) optimal value of clean energy resource generation technology power is determined according to the measurement data of prediction data and collaborative controller；
(9) it determines load control objective value, active load management system is sent to by global operational decisions system and is optimized
It adjusts.
Good effect is realized controllably since the present invention uses layered cooperative control technology by the interaction of network load
Load is complementary with the characteristic of clean energy resource generation technology, whole cooperative scheduling is realized to the controllable burden in region, not only
It can inhibit power swing caused by intermittent formula power supply, and the receiving ability of the whole network new energy can be improved, while being also
It cuts paddy and fills out peak and provide technological means.It is suitable for cooperateing with optimal control method to answer with clean energy resource generation technology as controllable burden
With.
Detailed description of the invention
Fig. 1 is that controllable burden with clean energy resource generation technology cooperates with Optimal Control System architecture diagram；
Fig. 2 is global operational decisions system architecture diagram；
Fig. 3 is active load management system architecture diagram；
Fig. 4 is that controllable burden with clean energy resource generation technology cooperates with optimal control method flow chart.
Specific implementation method
According to shown in Fig. 1, controllable burden and clean energy resource generation technology cooperative control method are divided into the overall situation in the form of layer architecture
Operational decisions system and active load management system.
According to shown in Fig. 2, the overall situation operational decisions system plan as a whole to power distribution network and excellent according to specific optimization aim
Change, is realized global according to each level operation information collected and basic data in conjunction with the prediction result that clean energy resource generates electricity
The optimization of level, which is run, to be calculated, cooperate on this basis collaborative controller and distributed power supply management unit realize power-balance with
Track and optimization are run.
Global operational decisions system is the core of whole system, including global optimization layer, Collaborative Control layer and is controlled on the spot
Layer, wherein global optimization layer includes optimizing operating mode module, global operational decisions optimization module, clean energy resource generation technology function
Rate optimal value module, wind-powered electricity generation prediction module, photovoltaic prediction module and load prediction module；Collaborative Control layer includes cooperation interaction control
Device module processed；Control layer includes energy storage control administrative unit module, energy-storage module, cold, heat and electricity triple supply administrative unit mould on the spot
Block, cold, heat and electricity triple supply module, wind-powered electricity generation control administrative unit module, wind-powered electricity generation module, photovoltaic control administrative unit module and photovoltaic
Module.
The global optimization layer passes through lower layer's collaborative controller, distribution using global operational decisions system main website as core
Power supply controls administrative unit equipment and acquires to full electric network operating status, in addition predicting wind-powered electricity generation, photovoltaic prediction, the reality of load prediction
When data, by multi-objective optimization algorithm to power distribution network carry out the overall situation on optimization calculate, to obtain excellent in lower region
Change operating index, to instruct lower layer's Collaborative Control layer and the on the spot real-time combustion adjustment of control layer progress.
The major function of global optimization layer includes:
(1) information of the collaborative controller of lower layer, distributed power supply management unit and feeder automation equipment is acquired.
(2) physics, economy, environmental protection aspect modeling, support are carried out to relevant distributed generation resource, substation and controllable burden
Global power system monitor, safety analysis and Optimized Operation.
(3) for statistical analysis to the acquisition of the historical data and real time data of clean energy resource power generation, realize centralized watch
It is cooperateed with the plan of control system.
(5) it is calculated by the optimization that the method for multiple-objection optimization carries out global level to power distribution network, to obtain next layer
Operating index, to instruct Collaborative Control layer and the real time execution of control layer on the spot to adjust.
Global operational decisions optimization module is analysis load prediction, wind-powered electricity generation prediction, photovoltaic prediction data, receives lower layer's collaboration
The measurement data of interaction controller, and then obtain the power optimization value of clean energy resource generation technology.
Load prediction module, wind-powered electricity generation prediction module, photovoltaic prediction module are analysis load, the historical data of wind-powered electricity generation, photovoltaic
The data acquired in real time obtain prediction data in turn and are sent to global operational decisions module progress decision.
Clean energy resource generation technology power optimization value module is to receive the optimal value transmission of global operational decisions optimization module
Give cooperation interaction controller module.
The Collaborative Control layer is using coordinated exchange controller as core, based on given by global operational decisions optimization program
Optimizing index and reference information carry out autonomous optimization to the distributed generation resource in affiliated range, and pass through distributed power supply management list
Element apparatus controls different types of distributed generation resource.Collaborative Control layer mainly maintains the stabilization of each control area, realizes
It is interacted with higher level's global decisions operating system.
Cooperation interaction controller module is the power optimization value for the clean energy resource generation technology that will be received, and is sent respectively to
Control layer energy storage controls administrative unit module, cold, heat and electricity triple supply administrative unit module, wind-powered electricity generation control unit management module on the spot
Administrative unit module is controlled with photovoltaic, and then controls energy-storage module, cold, heat and electricity triple supply module, wind-powered electricity generation module and photovoltaic module
Power.
Power supply is core to the control layer on the spot in a distributed manner, is carried out to the same same type distributed generation resource with electrical nodes
Scheduling, realizes the Collaborative Control of each distributed generation resource.Monitoring layer passes through measurement to equipment running status acquisition and right on the spot
The abnormal operating condition of equipment gives a warning, this layer by Collaborative Control layer from computer network communication to upper layer on deliver letters breath
And control instruction is received, this layer carries plant stand side operations staff to the monitoring function of equipment simultaneously.
Energy storage control administrative unit module is to receive the power optimization value of collaborative controller and run to all kinds of energy-storage systems
State is monitored in real time, not only can also can adjust in real time the random fluctuation of energy source power with peak load shifting；Acquire energy storage mould
The realtime power information of block.
Cold, heat and electricity triple supply administrative unit module is to receive the power optimization value of collaborative controller and to all kinds of power generator
Real time monitoring is adjusted in real time according to power grid needs；Acquire the realtime power information of cold, heat and electricity triple supply module.
Wind-powered electricity generation control unit management module is to receive the power optimization value of collaborative controller and by acquisition weather forecast letter
Breath, meteorological real time data provide basic data for wind-powered electricity generation generator unit；Acquire the realtime power information of wind-powered electricity generation module.
Photovoltaic control unit management module is to receive the power optimization value of collaborative controller and to by temperature collection, illumination
Intensity, etc. real time datas photovoltaic power generation apparatus is monitored, adjusted in real time according to power grid demand；Acquire photovoltaic module
Realtime power information.
According to shown in Fig. 3, the active load management system is divided into load optimal layer and real-time response using the form of layering
Layer.Load optimal layer includes load target power module, active load optimal operation module, load Analysis module, user's control
Target power value module, load optimal operation curve module, user demand module, measurement data module and historical data module；
Real-time response layer includes user's intelligent terminal module, intelligent socket module, water heater module, intelligent infrared controller module, sky
Mode transfer block, intelligent switch module and light, television module.
It is the recipient and the person of being adjusted of an execution that the active load management system, which is mainly reflected in load not merely,
Electric system has more initiative and flexible control to air-conditioning, water heater, headlamp traditional lighting mode.In addition user can root
Power program is formulated according to demand.
The load optimal layer receives the optimized operation index of upper layer overall situation operational decisions system, according to active load optimal
Algorithm optimizes calculating.The algorithm is mainly according to user demand with the user power utilization habit monitored and each customer charge
Potential management is estimated, calculates load target power value of each user in future time on this basis and optimization is bent
Line, and issue underlying User intelligent terminal.
The historical data of user demand value and active load that load optimal layer is acquired by intelligent subscriber terminal determines
The regulated value of controllable burden, the load control objective value for receiving global operational decisions system.
The major function that active load optimal runs module is the load target control function for receiving global optimization control system
Rate value sends family demand to demand history data, user's intelligent terminal and measurement data carries out load Analysis, and then obtains user
Control the performance number and load optimal operation curve of target.
The major function of user's control target power value module is the load mesh for obtaining active load optimal operation module
Mark performance number is sent to user's intelligent terminal to carry out load power control.
The major function of load optimal operation curve module is the load optimal for obtaining active load optimal operation module
Operation curve is sent to user's intelligent terminal to controlling the operation curve of load,
The real-time response layer obtains the adjusting priority orders of controllable burden, and obtains the state of controllable burden.
User's intelligent terminal module is to receive the user optimization control target value and load optimal operation song of load optimal layer
Controlling value is sent respectively to intelligent socket module, intelligent infrared controller module, intelligent switch module by line, and is realized to negative
The control of lotus；The real-time measuring data of acquisition user demand and each load is sent to load optimal layer.
The core equipment of real-time response layer is user's intelligent terminal, mainly includes intelligent socket, intelligent infrared controller, intelligence
It can switch, optimize operation control for realizing to individual consumer's load, according to the target power value of the user and the following fortune
Row curve arranges its power mode concretely, and corrects operation curve.User is no longer simple electricity consumer, but gradually at
Behavior for energy producers and consumer, electricity consumption will be more flexible, and the service of acquisition is more various, to reduce electric system
Cost, improve the total benefit of power grid.
Intelligent socket module is to receive the load target control value of user's intelligent terminal to control the electric appliances such as water heater
Runing time；The electric appliances real time execution power such as acquisition water heater simultaneously feed back to user's intelligent terminal.
Intelligent infrared controller module is to receive the load target control value of user's intelligent terminal to remotely control air-conditioning
The runing time of equal electric appliances；The electric appliances real time execution power such as acquisition air-conditioning simultaneously feed back to user's intelligent terminal.
Intelligent switch module is to receive the load target control value of user's intelligent terminal to control the electric appliances such as light, TV
Shutdown；Acquisition switch, TV electric appliance real time execution power simultaneously feed back to user's intelligent terminal.
According to the step of shown in Fig. 4, controllable burden cooperates with optimal control with clean energy resource generation technology:
(1) priority orders of various controllable burden units are obtained in real time by user's intelligent terminal, this sequentially can be artificially
Setting can also be to be obtained after load Analysis；
(2) state of each controllable burden, including operating status and operation power are obtained by user's intelligent terminal；
(3) regulated value of controllable burden is determined according to the user demand value of controllable burden and historical data etc.；
(4) regulation performance of controllable burden is assessed, judges whether to reach the adjusting moment；
(5) regulated value of controllable burden is sent to by global operational decisions system by active load management system, carries out distribution
The Analysis of Topological Structure of net；
(6) operating status of power distribution network is assessed；
(7) distribution power system load flow calculation is carried out；
(8) optimal value of clean energy resource generation technology power is determined according to the measurement data of prediction data and collaborative controller；
(9) it determines load control objective value, active load management system is sent to by global operational decisions system and is optimized
It adjusts.
Working principle of the present invention:
The wind-powered electricity generation prediction power can indicate are as follows:
(1.1)
Wherein, E is the air energy of flow, and m is air quality, and v is into the wind speed before fan blade swept area, and ρ is air
Density, A are fan blade wind sweeping area.
Fan blade during rotation, flows through blade air streamIt can change, convolution (1.1) can be released
The wind energy of blower capture:
(1.2)
Wherein,It is the wind speed flowed out after fan blade swing flap face,Power coefficient, be wind speed, blade revolving speed with
And the function of wind energy conversion system parameter, it can be indicated by formula (1.3):
(1.3)
The photovoltaic prediction power can indicate are as follows:
(1.4)
Wherein,For Photovoltaic array transfer efficiency；S is photovoltaic panel effective area,；I is intensity of solar radiation,；。
The load prediction power can indicate are as follows:
(1.5)
(1.6)
Wherein:For the predicted load to i+1；For i-th point of load actual value；It is
The predicted value of the load changing rate of i point.
(1.7)
Wherein；D is the number of days for selecting load in the past；For the Suitable factors in jth day,=1；For jth day
I-th point。
Claims (2)
1. a kind of controllable burden cooperates with optimal control method with clean energy resource generation technology, it is characterized in that: controllable burden and cleaning
Energy source utilizing electricity generating techn cooperative control method is divided into global operational decisions system and active load management system in the form of layer architecture
System；
The overall situation operational decisions system is planned as a whole and is optimized to power distribution network according to specific optimization aim, according to each level
Operation information collected and basic data realize the optimization operation of global level in conjunction with the prediction result that clean energy resource generates electricity
It calculates, collaborative controller and distributed power supply management unit is cooperated to realize that power-balance tracking is run with optimization on this basis；
Global operational decisions system is the core of whole system, including global optimization layer, Collaborative Control layer and control layer on the spot,
Middle global optimization layer includes that optimizing operating mode module, global operational decisions optimization module, clean energy resource generation technology power are excellent
Change value module, wind-powered electricity generation prediction module, photovoltaic prediction module and load prediction module；Collaborative Control layer includes cooperation interaction controller
Module；On the spot control layer include energy storage control administrative unit module, it is energy-storage module, cold, heat and electricity triple supply administrative unit module, cold
Thermoelectricity trilogy supply module, wind-powered electricity generation control administrative unit module, wind-powered electricity generation module, photovoltaic control administrative unit module and photovoltaic module；
The global optimization layer passes through lower layer's collaborative controller, distributed generation resource using global operational decisions system main website as core
It controls administrative unit equipment to acquire full electric network operating status, in addition predicting wind-powered electricity generation, photovoltaic prediction, the real-time number of load prediction
According to by multi-objective optimization algorithm to the optimization calculating in the power distribution network progress overall situation, to obtain the optimization fortune in lower region
Row index, to instruct lower layer's Collaborative Control layer and the on the spot real-time combustion adjustment of control layer progress；
Global operational decisions optimization module is analysis load prediction, wind-powered electricity generation prediction, photovoltaic prediction data, receives lower layer's cooperation interaction
The measurement data of controller, and then obtain the power optimization value of clean energy resource generation technology；
Load prediction module, wind-powered electricity generation prediction module, photovoltaic prediction module are analysis load, the historical data and reality of wind-powered electricity generation, photovoltaic
When the data that acquire and then obtain prediction data and be sent to global operational decisions module carrying out decision；
Clean energy resource generation technology power optimization value module is that the optimal value of the global operational decisions optimization module of receiving is sent to association
With interaction controller module；
The Collaborative Control layer is using coordinated exchange controller as core, based on optimization given by global operational decisions optimization program
Index and reference information carry out autonomous optimization to the distributed generation resource in affiliated range, and are filled by distributed power supply management unit
It sets and different types of distributed generation resource is controlled；
Collaborative Control layer mainly maintains the stabilization of each control area, and realization is interacted with higher level's global decisions operating system；
Cooperation interaction controller module is the power optimization value for the clean energy resource generation technology that will be received, and is sent respectively on the spot
Control layer energy storage controls administrative unit module, cold, heat and electricity triple supply administrative unit module, wind-powered electricity generation control unit management module and light
Volt control administrative unit module, and then control the function of energy-storage module, cold, heat and electricity triple supply module, wind-powered electricity generation module and photovoltaic module
Rate；
Power supply is core to the control layer on the spot in a distributed manner, is adjusted to the same same type distributed generation resource with electrical nodes
Degree, realizes the Collaborative Control of each distributed generation resource；
Monitoring layer is acquired and is given a warning to the abnormal operating condition of equipment, the layer by the measurement to equipment running status on the spot
By Collaborative Control layer from computer network communication to upper layer on deliver letters and breath and receive control instruction, which carries factory simultaneously
Side operations staff stand to the monitoring function of equipment；
It is to receive the power optimization value of collaborative controller and to all kinds of energy-storage system operating statuses that energy storage, which controls administrative unit module,
It is monitored in real time, not only can also can adjust in real time the random fluctuation of energy source power with peak load shifting；Acquire energy-storage module
Realtime power information；
Cold, heat and electricity triple supply administrative unit module is to receive the power optimization value of collaborative controller and real-time to all kinds of power generator
Monitoring is adjusted in real time according to power grid needs；Acquire the realtime power information of cold, heat and electricity triple supply module；
Wind-powered electricity generation control unit management module is to receive the power optimization value of collaborative controller and by acquisition weather forecast information, gas
As real time data provides basic data for wind-powered electricity generation generator unit；Acquire the realtime power information of wind-powered electricity generation module；
Photovoltaic control unit management module is to receive the power optimization value of collaborative controller and to strong by temperature collection, illumination
Degree, etc. real time datas photovoltaic power generation apparatus is monitored, adjusted in real time according to power grid demand；Acquire the reality of photovoltaic module
When power information；
The active load management system is divided into load optimal layer and real-time response layer using the form of layering；
Load optimal layer includes load target power module, active load optimal operation module, load Analysis module, user's control
Target power value module, load optimal operation curve module, user demand module, measurement data module and historical data module；
Real-time response layer includes user's intelligent terminal module, intelligent socket module, water heater module, intelligent infrared controller module, sky
Mode transfer block, intelligent switch module and light, television module；
It is the recipient and the person of being adjusted of an execution, electric system that active load management system, which is mainly reflected in load not merely,
There is more initiative and flexible control to air-conditioning, water heater, headlamp traditional lighting mode；
In addition user can formulate power program according to demand；
The load optimal layer receives the optimized operation index of upper layer overall situation operational decisions system, according to active load optimal algorithm
Optimize calculating；
The algorithm is mainly to be carried out according to user demand with the user power utilization habit monitored and each customer charge potential management
Estimation, calculates load target power value and Optimal Curve of each user in future time, and issue lower layer on this basis
User's intelligent terminal；
The historical data of user demand value and active load that load optimal layer is acquired by intelligent subscriber terminal is controllable to determine
The regulated value of load, the load control objective value for receiving global operational decisions system；
The major function that active load optimal runs module is to receive the load target control performance number of global optimization control system,
Family demand is sent to demand history data, user's intelligent terminal and measurement data carries out load Analysis, and then obtains user's control
The performance number and load optimal operation curve of target；
The major function of user's control target power value module is the load target function for obtaining active load optimal operation module
Rate value is sent to user's intelligent terminal to carry out load power control；
The major function of load optimal operation curve module is that the load optimal for obtaining active load optimal operation module is run
Curve is sent to user's intelligent terminal to controlling the operation curve of load,
The real-time response layer obtains the adjusting priority orders of controllable burden, and obtains the state of controllable burden；
User's intelligent terminal module is to receive the user optimization control target value and load optimal operation curve of load optimal layer, will
Controlling value is sent respectively to intelligent socket module, intelligent infrared controller module, intelligent switch module, and realizes the control to load
System；The real-time measuring data of acquisition user demand and each load is sent to load optimal layer；
The core equipment of real-time response layer is user's intelligent terminal, is mainly opened including intelligent socket, intelligent infrared controller, intelligence
It closes, optimizes operation control for realizing to individual consumer's load, it is bent according to the target power value of the user and the following operation
Line arranges its power mode concretely, and corrects operation curve；
User is no longer simple electricity consumer, but is increasingly becoming energy producers and consumer, and the behavior of electricity consumption will more
Add flexibly, the service of acquisition is more various, to reduce the cost of electric system, improves the total benefit of power grid；
Intelligent socket module is to receive the load target control value of user's intelligent terminal thus the operation for controlling the electric appliances such as water heater
Time；The electric appliances real time execution power such as acquisition water heater simultaneously feed back to user's intelligent terminal；
Intelligent infrared controller module is to receive the load target control value of user's intelligent terminal to remotely control the electricity such as air-conditioning
The runing time of device；The electric appliances real time execution power such as acquisition air-conditioning simultaneously feed back to user's intelligent terminal；
Intelligent switch module is to receive the load target control value of user's intelligent terminal thus the pass for controlling the electric appliances such as light, TV
It is disconnected；Acquisition switch, TV electric appliance real time execution power simultaneously feed back to user's intelligent terminal.
2. a kind of controllable burden according to claim 1 cooperates with optimal control method with clean energy resource generation technology, special
Sign is: the step of controllable burden cooperates with optimal control with clean energy resource generation technology:
(1) priority orders of various controllable burden units are obtained in real time by user's intelligent terminal, this sequentially can be artificially
Setting can also be to be obtained after load Analysis；
(2) state of each controllable burden, including operating status and operation power are obtained by user's intelligent terminal；
(3) regulated value of controllable burden is determined according to the user demand value of controllable burden and historical data etc.；
(4) regulation performance of controllable burden is assessed, judges whether to reach the adjusting moment；
(5) regulated value of controllable burden is sent to by global operational decisions system by active load management system, carries out distribution
The Analysis of Topological Structure of net；
(6) operating status of power distribution network is assessed；
(7) distribution power system load flow calculation is carried out；
(8) optimal value of clean energy resource generation technology power is determined according to the measurement data of prediction data and collaborative controller；
(9) it determines load control objective value, active load management system is sent to by global operational decisions system and is optimized
It adjusts.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811367753.0A CN109510247A (en) | 2018-11-16 | 2018-11-16 | A kind of controllable burden cooperates with optimal control method with clean energy resource generation technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811367753.0A CN109510247A (en) | 2018-11-16 | 2018-11-16 | A kind of controllable burden cooperates with optimal control method with clean energy resource generation technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109510247A true CN109510247A (en) | 2019-03-22 |
Family
ID=65748864
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811367753.0A Pending CN109510247A (en) | 2018-11-16 | 2018-11-16 | A kind of controllable burden cooperates with optimal control method with clean energy resource generation technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109510247A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110137953A (en) * | 2019-05-15 | 2019-08-16 | 国网冀北综合能源服务有限公司 | Synthetic operation optimization method based on distributed busbar protection multi-energy system |
| CN110474370A (en) * | 2019-08-29 | 2019-11-19 | 广东工业大学 | The cooperative control system and method for a kind of air-conditioning controllable burden, photovoltaic energy storage system |
| CN113489142A (en) * | 2021-06-18 | 2021-10-08 | 浙江中新电力工程建设有限公司 | Power grid energy Internet-based consumption side source network load cooperative control system and method |
| CN113517702A (en) * | 2021-04-26 | 2021-10-19 | 南京邮电大学 | Emergency control method and system for source-storage-load adjustment-switching linkage |
| CN113852659A (en) * | 2021-06-15 | 2021-12-28 | 海南绿色能源与环境工程技术研究院 | Distributed energy source cold, heat and power active variable working condition optimization regulation and control method and system based on edge calculation |
| CN113984111A (en) * | 2021-09-30 | 2022-01-28 | 北京华能新锐控制技术有限公司 | Wind turbine generator control method and device based on external environment change |
| CN114142459A (en) * | 2021-11-15 | 2022-03-04 | 国网湖北省电力有限公司营销服务中心(计量中心) | Demand side management system based on electric energy meter and closed-loop control method thereof |
| CN114594708A (en) * | 2022-03-02 | 2022-06-07 | 国网山东省电力公司电力科学研究院 | Multi-energy collaborative optimization energy control system and method |
| CN114614479A (en) * | 2022-02-10 | 2022-06-10 | 中国电建集团华东勘测设计研究院有限公司 | Artificial intelligence-based multi-energy flow hydraulic control compressed air energy storage control system and method |
| CN115657545A (en) * | 2022-10-24 | 2023-01-31 | 海宁云多科技有限公司 | Power utilization regulation and control system and method based on air conditioner and photovoltaic combined operation |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014057304A1 (en) * | 2012-10-10 | 2014-04-17 | New Jersey Institute Of Technology | Decentralized controls and communications for autonomous distribution networks in smart grid |
| CN105743094A (en) * | 2016-04-22 | 2016-07-06 | 国网江苏省电力公司连云港供电公司 | Power grid demand response control system |
| CN107528385A (en) * | 2017-06-29 | 2017-12-29 | 国网辽宁省电力有限公司 | A kind of source net lotus control method for coordinating and system based on new energy consumption |
-
2018
- 2018-11-16 CN CN201811367753.0A patent/CN109510247A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014057304A1 (en) * | 2012-10-10 | 2014-04-17 | New Jersey Institute Of Technology | Decentralized controls and communications for autonomous distribution networks in smart grid |
| CN105743094A (en) * | 2016-04-22 | 2016-07-06 | 国网江苏省电力公司连云港供电公司 | Power grid demand response control system |
| CN107528385A (en) * | 2017-06-29 | 2017-12-29 | 国网辽宁省电力有限公司 | A kind of source net lotus control method for coordinating and system based on new energy consumption |
Non-Patent Citations (2)
| Title |
|---|
| 李庆生等: "主动配电网协同优化系统研究", 《南方电网技术》 * |
| 黄天聪等: "输变电设备物联网通信网络结构及拓扑分析", 《高电压技术》 * |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110137953A (en) * | 2019-05-15 | 2019-08-16 | 国网冀北综合能源服务有限公司 | Synthetic operation optimization method based on distributed busbar protection multi-energy system |
| CN110474370A (en) * | 2019-08-29 | 2019-11-19 | 广东工业大学 | The cooperative control system and method for a kind of air-conditioning controllable burden, photovoltaic energy storage system |
| CN110474370B (en) * | 2019-08-29 | 2023-05-23 | 广东工业大学 | Cooperative control system and method for air conditioner controllable load and photovoltaic energy storage system |
| WO2022227319A1 (en) * | 2021-04-26 | 2022-11-03 | 南京邮电大学 | Emergency control method and system using source-storage-load regulation and shedding linkage |
| CN113517702A (en) * | 2021-04-26 | 2021-10-19 | 南京邮电大学 | Emergency control method and system for source-storage-load adjustment-switching linkage |
| CN113852659A (en) * | 2021-06-15 | 2021-12-28 | 海南绿色能源与环境工程技术研究院 | Distributed energy source cold, heat and power active variable working condition optimization regulation and control method and system based on edge calculation |
| CN113489142A (en) * | 2021-06-18 | 2021-10-08 | 浙江中新电力工程建设有限公司 | Power grid energy Internet-based consumption side source network load cooperative control system and method |
| CN113984111A (en) * | 2021-09-30 | 2022-01-28 | 北京华能新锐控制技术有限公司 | Wind turbine generator control method and device based on external environment change |
| CN114142459A (en) * | 2021-11-15 | 2022-03-04 | 国网湖北省电力有限公司营销服务中心(计量中心) | Demand side management system based on electric energy meter and closed-loop control method thereof |
| CN114142459B (en) * | 2021-11-15 | 2024-04-12 | 国网湖北省电力有限公司营销服务中心(计量中心) | Electric energy meter-based demand side management system and closed-loop control method thereof |
| CN114614479A (en) * | 2022-02-10 | 2022-06-10 | 中国电建集团华东勘测设计研究院有限公司 | Artificial intelligence-based multi-energy flow hydraulic control compressed air energy storage control system and method |
| CN114614479B (en) * | 2022-02-10 | 2024-04-30 | 中国电建集团华东勘测设计研究院有限公司 | Multi-energy-flow hydraulic control compressed air energy storage control system and method based on artificial intelligence |
| CN114594708A (en) * | 2022-03-02 | 2022-06-07 | 国网山东省电力公司电力科学研究院 | Multi-energy collaborative optimization energy control system and method |
| CN115657545A (en) * | 2022-10-24 | 2023-01-31 | 海宁云多科技有限公司 | Power utilization regulation and control system and method based on air conditioner and photovoltaic combined operation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109510247A (en) | A kind of controllable burden cooperates with optimal control method with clean energy resource generation technology | |
| Sedhom et al. | IoT-based optimal demand side management and control scheme for smart microgrid | |
| CN107528385B (en) | A kind of source net lotus control method for coordinating and system based on new energy consumption | |
| Hakimi et al. | Optimal planning of a smart microgrid including demand response and intermittent renewable energy resources | |
| CN105375479B (en) | A kind of distributed energy energy management method based on Model Predictive Control | |
| CN104969437A (en) | System and method for energy distribution | |
| Rehman et al. | An efficient energy management in smart grid considering demand response program and renewable energy sources | |
| CN104362680B (en) | With the active power of wind power field auto-allocation method of the minimum target of active loss | |
| CN107329444A (en) | A kind of comprehensive energy Multiple Time Scales coordinated control system and method | |
| Mousavi et al. | Modelling, design, and experimental validation of a grid-connected farmhouse comprising a photovoltaic and a pumped hydro storage system | |
| CN105373842A (en) | Micro-grid energy optimization and evaluation method based on full energy flow model | |
| CN112510703B (en) | Multi-energy access power grid optimal scheduling method considering coal consumption curve correction | |
| CN109740808A (en) | A kind of scene water complemental power-generation plan calculation method and system | |
| CN110807588A (en) | Optimized scheduling method of multi-energy coupling comprehensive energy system | |
| CN109412158A (en) | A kind of sending end power grid Unit Combination progress control method for considering to abandon energy cost constraint | |
| CN112882403A (en) | Comprehensive intelligent energy management and control system based on Internet of things | |
| CN108280554A (en) | A kind of grid-connected consumption system of regenerative resource and method | |
| CN105447586A (en) | Micro-grid energy optimization method based on versatile flow model | |
| Zhi et al. | Scenario-based multi-objective optimization strategy for rural PV-battery systems | |
| CN106524277B (en) | Regional energy supply system of heat supply in winter of multipotency source form | |
| CN115149586A (en) | Distributed energy aggregation regulation and autonomous regulation and control cooperative optimization method and system | |
| Qu et al. | Synergetic power-gas flow with space-time diffusion control of air pollutants using a convex multi-objective optimization | |
| CN112350435A (en) | Virtual power plant management and control device based on micro-grid group and electric power controllable load | |
| CN112615367A (en) | Optimized scheduling method for comprehensive energy system in power Internet of things environment | |
| Yu et al. | Transactive control of a residential community with solar photovoltaic and battery storage systems |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Hu Bo Inventor after: Yang Xiao Inventor after: Zhang Xiaohang Inventor after: Zhou Bowen Inventor after: Wang Shicheng Inventor after: Wang Tao Inventor after: Qu Fei Inventor after: Zheng Wei Inventor after: Wu Xian Inventor after: Li Penghui Inventor after: Yu Changle Inventor after: Zeng Ling Inventor before: Hu Bo Inventor before: Wang Shicheng Inventor before: Wang Tao Inventor before: Qu Fei Inventor before: Zheng Wei Inventor before: Wu Xian |
|
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190322 |