CN106786558A - Flexible load regulation and control analogue system and method based on dispatching automation main station system - Google Patents
Flexible load regulation and control analogue system and method based on dispatching automation main station system Download PDFInfo
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- CN106786558A CN106786558A CN201710058843.0A CN201710058843A CN106786558A CN 106786558 A CN106786558 A CN 106786558A CN 201710058843 A CN201710058843 A CN 201710058843A CN 106786558 A CN106786558 A CN 106786558A
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- 238000004088 simulation Methods 0.000 claims abstract description 97
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- 230000003993 interaction Effects 0.000 claims abstract description 19
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- 238000005096 rolling process Methods 0.000 claims description 15
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- 230000001105 regulatory effect Effects 0.000 claims description 12
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- 238000005457 optimization Methods 0.000 claims description 8
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- H02J3/005—
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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Abstract
Regulate and control analogue system and method the present invention relates to a kind of flexible load based on dispatching automation main station system, analogue system includes dispatching automation main station system, grid simulation platform and Netlogo multiple agents flexible load response analogue system, the Netlogo multiple agents flexible load response analogue system includes Netlogo interactive expandings bag and multiple agent flexible load response emulation platform, the grid simulation platform, Netlogo interactive expandings bag and multiple agent flexible load response emulation platform carry out data interaction successively, the grid simulation platform and Netlogo interactive expanding Bao Junyu dispatching automations main station systems carry out data interaction.Effectively be combined together for dispatching automation main station system, grid simulation platform, Multi-Agent simulation platform by the present invention, forms the closed loop continuous operational system of a set of flexible load regulation and control;For the research of flexible load scheduling controlling strategy provides assessment verification environment;Being built in the emulation of polymorphic type load and " source net lotus " interactive scene has extremely strong adaptability.
Description
Technical field
The present invention relates to power system automatic field, and in particular to a kind of flexibility based on dispatching automation main station system
Load control analogue system and method.
Background technology
With the extensive access of new energy, the uncertain of power system is increasing, and brings huge to system power regulation
Big pressure;Meanwhile, with being gradually opened for Demand-side market, flexible load provides resource for system fading margin.Therefore, both at home and abroad
A large amount of flexible load dispatching methods and control strategy are proposed, to improve system fading margin ability, maintenance system is safe and reliable, warp
Ji operation.However, the emulation of flexible load regulation and control how is realized based on dispatching automation main station system, so as to these dispatching parties
It is to launch flexible load scheduling controlling research problem demanding prompt solution at present that method and control strategy are estimated checking.
The content of the invention
To solve above-mentioned deficiency of the prior art, system of dispatching automation main website is based on it is an object of the invention to provide one kind
Flexible load regulation and control analogue system and the method for system, system of the invention is to build a set of bag based on dispatching automation main station system
The flexible load regulation and control analogue system of main station system containing dispatching automation, grid simulation platform and load responding emulation platform, it is main
To include herein below:Flexible load regulates and controls simulation universal framework;Flexible load regulates and controls simulation flow;Analogue system functional module
Exploitation and deployment and multiple agent flexible load with data-interface respond analogue system.
The purpose of the present invention is realized using following technical proposals:
The present invention provides a kind of flexible load regulation and control analogue system based on dispatching automation main station system, its improvements
It is that the analogue system includes that dispatching automation main station system, grid simulation platform and Netlogo (are used for nature and society
Can the programmable modeling environment that is emulated of phenomenon) multiple agent flexible load response analogue system, how intelligent the Netlogo is
Body flexible load response analogue system includes Netlogo interactive expandings bag and multiple agent flexible load response emulation platform, institute
State grid simulation platform, Netlogo interactive expandings bag and multiple agent flexible load response emulation platform carries out data friendship successively
Mutually, the grid simulation platform and Netlogo interactive expanding Bao Junyu dispatching automations main station systems carry out data interaction.
Further, the grid simulation platform is used to simulate power system response, realizes that the continuous growth process of power network is imitated
It is true to calculate, including the Load flow calculation module for Load flow calculation, frequency computing module, generation load curve for frequency calculating
Tracking module, secondary device emulation module, automatism voltage control (AVC, automatic voltage control) analog simulation
Module, Automatic Generation Control (AGC, automatic generation control) and simulation clock control module;
The grid simulation platform can form complete closed-loop simulation system with dispatching automation main station system, on the one hand
Power network analogue data can be provided for dispatching automation main station system, on the other hand receive the remote regulating of dispatching automation main station system
Telecommand and the closed-loop simulation for being instructed, and analog result is fed back into dispatching automation main station system.
Further, the dispatching automation main station system is used to provide carrying environment for flexible load scheduling application, soft
Property load scheduling application carry out 5 minutes rolling optimizations according to load prediction data, power grid state information, adjustable resource information,
Solve unit regulation and flexible load control plan that current power system meets optimal objective.
Further, the Netlogo interactive expandings bag be used for realize multiple agent flexible load response emulation platform with
The data interaction of grid simulation platform, including the power adjusting target information of the affiliated node of flexible load, system frequency information with
And price signal, and flexible load response Simulation result data;It is soft that the Netlogo interactive expandings bag also provides multiple agent
Property load responding emulation platform and flexible load data file data interaction interface.
Further, the data interaction interface function includes:
Configuration flexible load model information:The configuration file of flexible load model include control information, node interactive information,
Condensate connection matrix, condensate information, agent's information and electricity consumption component information;Above- mentioned information is used to describe flexible load
Controlled mode and the relation of power network connection, load and polymeric communication structure and action parameter;
Control instruction is monitored:Netlogo interactive expandings bag opens up tune when flexible load simulated program ingoing power is tracked
Control instruction watcher thread, the thread can obtain current loads generation in each load simulation step length from grid simulation platform
The target power of reason, and linear interpolation is carried out according to the speed that load power is adjusted, the load for asking for next circulation acts on behalf of mesh
Mark power;Flexible load simulated program is then according to subsequent cycle target power value simulation flexible load response process;
Flexible load response results are sampled:The database access interface provided by Netlogo interactive expandings bag, more intelligently
Body flexible load response emulation platform will be in each simulation step length by load responding result real-time update to grid simulation platform;
When flexible load simulation process selects sampling functions, load emulation is then unwrapped by Netlogo interactive expandings and wards off sampling thread,
Every specified sampling time step-length, by load responding data and markers write-in historical data base or file.
Further, on multiple agent flexible load response emulation platform, to bottom electric device, the polymerization of load cluster
Body and flexible load agent carry out multi-agent modeling, for realizing agent's decision-making, condensate communication interaction and electricity consumption unit
The simulation of part response.
The present invention provides a kind of regulation and control emulation of the flexible load regulation and control analogue system based on dispatching automation main station system
Method, it is theed improvement is that, the regulation and control emulation mode comprises the steps:
Step 1-1:Data prepare;
Step 1-2:Rolling planning in 5 minutes;
Step 1-3:Automatic Generation Control;
Step 1-4:Flexible load response emulation;
Step 1-5:Grid simulation.
Further, in the step 1-1, data message includes 1 hour future that rolling optimization application in 5 minutes is obtained
Load prediction data, grid model data, unit operation information, unit adjustment cost, flexible load adjustment cost and flexibility are born
Lotus uses electrical characteristics;
Above-mentioned data message completes once to update for every 5 minutes, and generates 5 minutes data of hair electricity combined optimization program
Source.
Further, in the step 1-2, dispatching automation main station system starts rolling optimization optimization program for every 5 minutes,
Calculated by optimizing, solved under current power system running state, the unit generation plan of following a hour and load responding phase
Hope.
Further, in the step 1-3, dispatching automation main station system issues the 5 of unit to AGC analog simulation modules
Minute operation plan desired value, AGC analog simulations module is then according to power system actual motion state, and particularly Region control is inclined
Differ from (ACE, area control error) and be calculated the power tracking target of unit, and Power Control is issued to unit and refer to
Order;Meanwhile, the flexible load with rapid adjustability participates in power system AGC regulations, the flexibility with rapid adjustability
The power adjusting target of load is calculated by AGC analog simulation modules, and is issued to the flexible load with rapid capability
Controller in;Wherein, the flexible load with rapid adjustability refers to that can realize power in minimum value to most in 5 minutes
The load adjusted in the range of big value;The controller of flexible load includes two classes:One class is the use comprising smart jack, intelligent electric meter
Electric device peripheral control unit, another kind of is comprising in air-conditioning temperature control single-chip microcomputer, the use electric device of charging pile charge and discharge control chip
Put controller.
Further, in the step 1-4, the flexible load with capability of fast response receives AGC control instructions, leads to
Controller simulation is crossed, power signal is converted into the control signal of bottom electric device, based on bottom electricity consumption component models, realized
The response process simulation of the flexible load with capability of fast response;
For participating in 5 minutes flexible loads of rolling planning with agent's pattern, according under dispatching automation main station system
The load responding expectation of hair, carries out decision-making, generates bottom load control order, and control to use by the bottom load governor for responding
The electricity consumption behavior of electric device, including regulating command and the electric automobile charge and discharge electric signal of air-conditioning design temperature are generated, it is finally based on
Bottom electricity consumption component models, emulate to actual load response;Bottom electricity consumption element responds result is interacted by Netlogo and expanded
Exhibition bag updates the load power of the affiliated node of flexible load.
Further, the step 1-4 comprises the steps:
Step 4-1:Start the Simulation Engineering that multiple agent flexible load responds emulation platform, wherein Simulation Engineering refers to:
Developed on multiple agent flexible load response emulation platform, including intelligent body initialization, agents and communications, intelligent body are dynamic
Work, the monitoring of intelligent body input signal and state sampling and data monitoring and display module are interior a set of for simulating flexible bearing
Lotus control, load are from main response and the analogue system of load physics process evolution;
Step 4-2:The configuration file of flexible load model is read, flexible load physical parameter setting, customer parameter is completed
Initialization and communication structure initialization;
Step 4-3:Node reference power is read in timing;
Step 4-4:Flexible load response process is simulated:Agency is calculated by agent and has load general objective power under its command, then by
Condensate calculated load cluster regulates and controls mesh parameter, electricity consumption element movement;Participate in the flexibility with rapid adjustability of AGC regulations
Load then (adapts to various load responding strategies, Different Strategies action logic has flexibility and various according to node reference power
Property, this framework is not adjusted logic effects by specific load power, therefore the calculating of concrete regulation Load Regulation reference power is not public
Formula), by controller, carry out load responding simulation;
Step 4-5:Response results are sampled:According to bottom electricity consumption element responds result, flexible load real response work(is calculated
Rate;Update the grid model data of grid simulation platform.
Further, the decision-making acts on behalf of decision-making, transferable load and acts on behalf of decision-making and Bidirectional load including interruptible load
Act on behalf of decision-making;The transferable load acts on behalf of decision-making includes air-conditioner temperature setting regulation, electric automobile charge and discharge control and big use
Interrupt control in family.
Further, in the step 1-5, the AGC controls that grid simulation platform is issued according to dispatching automation main station system
System instruction, according to unit model, emulates, and according to current electric grid service data, calculate power train to power of the assembling unit regulation
System trend and frequency, and update electric network model.
Compared with immediate prior art, the excellent effect that the technical scheme that the present invention is provided has is:
Flexible load provides a class valuable source for system power balance, but the polytropy of flexible load itself and not true
Qualitative to make that it is dispatched and control becomes particularly difficult, and flexible load enormous amount, type complexity are various in power system, institute
To set up a set of rational flexible load response emulation mode, and the interconnection with existing dispatching platform is realized, can be flexible negative
The research of lotus scheduling controlling provides basis.The flexible load simulated environment building method that the present invention is carried, will effectively dispatch certainly
Dynamicization main station system, grid simulation platform, Multi-Agent simulation platform are combined together, and form a set of flexible load regulation and control
Closed loop continuous operational system;For the research of flexible load scheduling controlling strategy is provided for assessment verification environment;Provide simultaneously
The method of load model and communication configurations, being built in the emulation of polymorphic type load and " source-net-lotus " interactive scene has pole
Strong adaptability.
For above-mentioned and related purpose, one or more embodiments include will be explained in below and in claim
In the feature that particularly points out.Following explanation and accompanying drawing describes some illustrative aspects in detail, and its indicate be only
Some modes in the utilizable various modes of principle of each embodiment.Other benefits and novel features will be under
The detailed description in face is considered in conjunction with the accompanying and becomes obvious, the disclosed embodiments be will include all these aspects and they
Be equal to.
Brief description of the drawings
Fig. 1 is the flexible load regulation and control simulation universal framework figure that the present invention is provided;
Fig. 2 is the flexible load regulation and control method flow diagram that the present invention is provided;
Fig. 3 is the multiple agent flexible load response emulation platform data interaction interface frame figure that the present invention is provided;
Fig. 4 is the multiple agent flexible load response simulation contact surface that the present invention is provided.
Specific embodiment
Specific embodiment of the invention is described in further detail below in conjunction with the accompanying drawings.
The following description and drawings fully show specific embodiments of the present invention, to enable those skilled in the art to
Put into practice them.Other embodiments can include structure, logic, it is electric, process and it is other changes.Embodiment
Only represent possible change.Unless explicitly requested, otherwise single component and function are optional, and the order for operating can be with
Change.The part of some embodiments and feature can be included in or replace part and the feature of other embodiments.This hair
The scope of bright embodiment includes the gamut of claims, and all obtainable of claims is equal to
Thing.Herein, these embodiments of the invention can individually or generally be represented that this is only with term " invention "
For convenience, and if in fact disclosing the invention more than, it is not meant to automatically limit the scope of the application to appoint
What single invention or inventive concept.
Embodiment one
As shown in figure 1, for flexible load proposed by the invention regulates and controls simulated environment frame diagram, including dispatching automation master
Stand system, grid simulation platform and Netlogo multiple agents flexible load response analogue system, wherein system of dispatching automation main website
System is mainly flexible load scheduling application offer and carries environment, grid simulation platform main analog power system response, Netlogo
Multiple agent flexible load responds analogue system main analog flexible load response process.Wherein Netogo is a general many
Intelligent body simulation modeling software.The Netlogo multiple agents flexible load response analogue system includes Netlogo interactive expandings
Bag and multiple agent flexible load respond emulation platform, the grid simulation platform, Netlogo interactive expandings bag and multiple agent
Flexible load response emulation platform carries out data interaction, the grid simulation platform and Netlogo interactive expandings Bao Junyu successively
Dispatching automation main station system carries out data interaction.
Wherein:Grid simulation platform is used to realize the continuous growth process simulation calculation of power network, and major function includes trend
Calculating, frequency calculating, the tracking of generation load curve, secondary device emulation, the control of AVC and AGC analog simulations, simulation clock etc..
Grid simulation platform can form complete closed-loop simulation system with main station system, on the one hand can be system of dispatching automation main website
System offer power network analogue data, the closed-loop simulation that on the other hand can be received the remote regulating telecommand of scheduling station and be instructed,
And analog result is fed back into dispatching automation main station system.
Dispatched based on dispatching automation main station system flexible load and applied.Flexible load scheduling foundation load prediction data,
Power grid state information, adjustable resource information etc. carry out 5 minutes rolling optimizations, solve the unit that current system meets optimal objective
Regulation and flexible load control plan.
The Netlogo interactive expanding bags of Netlogo and grid simulation platform:It is main to realize that multiple agent flexible load is responded
The data interaction of emulation platform Netlogo and grid simulation platform, including the power adjusting target of the affiliated node of flexible load is believed
Breath, system frequency information and price signal, and flexible load response Simulation result data etc..Meanwhile, the expanding packet is also carried
For Netlogo platforms and the data interaction interface of flexible load data file.
Multiple agent flexible load response emulation platform based on Netlogo.Responded in multiple agent flexible load and emulated
On platform, multi-agent modeling is carried out with electric device, load cluster condensate, flexible load agent to bottom, realize agency
Business's decision-making, condensate communication interaction, the simulation of electricity consumption element responds.
Wherein:The exploitation of multiple agent flexible load response emulation platform data interaction interface proposed by the invention and portion
Administration is combined shown in Fig. 3, and its function can be expressed as, and be used for:
Configuration flexible load model information.Flexible load model configuration information includes master control information, node interactive information, gathers
Fit connection matrix, condensate information, agent's information, electricity consumption component information.These information are used to describe receiving for flexible load
Control pattern and the relation of power network connection, load and polymeric communication structure and action parameter.
Control instruction is monitored.Netlogo interactive expandings bag can be opened up when flexible load simulated program ingoing power is tracked
One regulation and control instruction watcher thread, the thread can obtain current negative in each load simulation step length from grid simulation platform
The target power of lotus agency, and linear interpolation is carried out according to the speed that load power is adjusted, ask for the load generation of next circulation
Reason target power.Flexible load simulated program then can simulate load responding process according to subsequent cycle target power value.
Flexible load response results are sampled:The database access interface provided by Netlogo interactive expandings bag, more intelligently
Body emulation platform will be in each simulation step length by load responding result real-time update to grid simulation platform.When flexible load is imitative
When selecting sampling functions during true, load simulated program then opens up a sampling thread by expanding packet, every specified adopt
Sample time step, by load responding data and markers write-in historical data base or file.
Embodiment two
Based on same inventive concept, the present invention also provides a kind of flexible load based on dispatching automation main station system and adjusts
The emulation mode of analogue system is controlled, its flow chart is as shown in Fig. 2 comprise the steps:
Step 1-1:Data prepare.Rolling optimization application in 5 minutes obtains following 1 hour load prediction data, unit fortune
Row information, unit adjustment cost, flexible load adjustment cost, flexible load use electrical characteristics.Above- mentioned information completes one in every 5 minutes
Secondary renewal, and generate 5 minutes data sources of hair electricity combined optimization program.
Step 1-2:Rolling planning in 5 minutes.Dispatching automation main station system starts rolling optimization optimization program for every 5 minutes,
Calculated by optimizing, solved under current system running status, following one hour generation schedule and load responding are expected.
Step 1-3:Automatic Generation Control.Dispatching automation main station system issues 5 minutes operation plan mesh of unit to AGC
Scale value, AGC programs are then calculated the power of unit according to running state, particularly district control deviation (ACE)
Tracking target, and issue power control instruction to unit.Meanwhile, flexible load of the part with rapid adjustability, equally
System AGC regulations can be participated in, the power adjusting target of this partially flexible load is calculated also by AGC programs, and issues
To the controller of quick response load.
Step 1-4:Flexible load response emulation.Load of the part with capability of fast response, the control for receiving AGC refers to
Order, is simulated by controller, power signal is converted into the control signal of bottom electric device, based on bottom electric device mould
Type, realizes the response process simulation of the type load.For participating in 5 minutes flexible loads of rolling planning with agent's pattern, according to
The load responding expectation issued according to scheduling station, carries out decision-making, generates bottom load control order, and the bottom load by responding
The electricity consumption behavior of controller control electric device, including generate regulating command, the electric automobile charge and discharge telecommunications of air-conditioning design temperature
Number etc., bottom electricity consumption component models are finally based on, actual load response is emulated.Bottom electricity consumption element responds result is last
The load power of the affiliated node of flexible load is updated by Netlogo interactive expandings bag.
Step 1-5:Grid simulation.The AGC control instructions that grid simulation platform is issued according to main station system, according to unit mould
Type, emulates to power of the assembling unit regulation, and according to current electric grid service data, computing system trend and frequency, and update electricity
Pessimistic concurrency control.
Preferably, the flow chart of the flexible load response emulation of the step 1-4 is as shown in figure 4, comprise the steps:
Step 4-1:Start Netlogo flexible load Simulation Engineerings;
Step 4-2:Configuration file is read, flexible load physical parameter setting, customer parameter initialization and communication knot is completed
Structure is initialized;
Step 4-3:Node reference power is read in timing;
Step 4-4:Flexible load response process is simulated.The step calculates agency and has load general objective under its command by agent first
Power, then mesh parameter, electricity consumption element movement are regulated and controled by condensate calculated load cluster.Participate in the quick response load of AGC regulations
Then direct basis node reference power, by controller, carries out load responding simulation.
Step 4-5:Response results are sampled.According to bottom electricity consumption element responds result, flexible load real response work(is calculated
Rate;Update grid simulation platform grid model data.
Flexible load analogue system provided by the present invention and method, effectively by dispatching automation main station system, power network
Emulation platform, Multi-Agent simulation platform are combined together, and form the closed loop continuous operational system of a set of flexible load regulation and control;
For the research of flexible load scheduling controlling strategy is provided for assessment verification environment;Load model and communication structure are provided simultaneously
The method of configuration, being built in the emulation of polymorphic type load and " source-net-lotus " interactive scene has extremely strong adaptability.
The above embodiments are merely illustrative of the technical solutions of the present invention rather than its limitations, although with reference to above-described embodiment pair
The present invention has been described in detail, and those of ordinary skill in the art can still enter to specific embodiment of the invention
Row modification or equivalent, these are applying without departing from any modification of spirit and scope of the invention or equivalent
Within pending claims of the invention.
Claims (11)
1. a kind of flexible load based on dispatching automation main station system regulates and controls analogue system, it is characterised in that the emulation system
System includes dispatching automation main station system, grid simulation platform and Netlogo multiple agents flexible load response analogue system, institute
Stating Netlogo multiple agents flexible load response analogue system includes Netlogo interactive expandings bag and multiple agent flexible load
Response emulation platform, the grid simulation platform, Netlogo interactive expandings bag and multiple agent flexible load response emulation platform
Data interaction is carried out successively, and the grid simulation platform and Netlogo interactive expanding Bao Junyu dispatching automation main station systems enter
Row data interaction.
2. flexible load as claimed in claim 1 regulates and controls analogue system, it is characterised in that the grid simulation platform is used for mould
Intend power system response, realize the continuous growth process simulation calculation of power network, including Load flow calculation module, frequency computing module, hair
Electric load curve tracking module, secondary device emulation module, automatism voltage control analog simulation module, Automatic Generation Control simulation
Emulation module and simulation clock control module;
The grid simulation platform can form complete closed-loop simulation system with dispatching automation main station system, on the one hand can
For dispatching automation main station system provides power network analogue data, the remote regulating remote control of dispatching automation main station system is on the other hand received
The closed-loop simulation for instructing and being instructed, and analog result is fed back into dispatching automation main station system;The dispatching automation
Main station system be used for for flexible load scheduling application provides carrying environment, flexible load scheduling using foundation load prediction data,
Power grid state information, adjustable resource information carry out 5 minutes rolling optimizations, solve the machine that current power system meets optimal objective
Group regulation and flexible load control plan.
3. flexible load as claimed in claim 2 regulates and controls analogue system, it is characterised in that the Netlogo interactive expandings bag
Data interaction for realizing multiple agent flexible load response emulation platform and grid simulation platform, including belonging to flexible load
The power adjusting target information of node, system frequency information and price signal and flexible load response Simulation result data;
The Netlogo interactive expandings bag also provides the number of multiple agent flexible load response emulation platform and flexible load data file
According to interactive interface.
4. flexible load as claimed in claim 3 regulates and controls analogue system, it is characterised in that the data interaction interface function bag
Include:
Configuration flexible load model information:The configuration file of flexible load model includes control information, node interactive information, polymerization
Body connection matrix, condensate information, agent's information and electricity consumption component information;Above- mentioned information is used to describe the controlled of flexible load
Pattern and the relation of power network connection, load and polymeric communication structure and action parameter;
Control instruction is monitored:Netlogo interactive expandings bag is opened up regulation and control and is referred to when flexible load simulated program ingoing power is tracked
Making watcher thread, the thread can obtain current loads agency in each load simulation step length from grid simulation platform
Target power, and linear interpolation is carried out according to the speed that load power is adjusted, ask for the load proxy target work(of next circulation
Rate;Flexible load simulated program is then according to subsequent cycle target power value simulation flexible load response process;
Flexible load response results are sampled:The database access interface provided by Netlogo interactive expandings bag, multiple agent is soft
Property load responding emulation platform will be in each simulation step length by load responding result real-time update to grid simulation platform;When soft
Property load simulation process selection sampling functions when, load emulation is then unwrapped by Netlogo interactive expandings and wards off sampling thread, every
Specified sampling time step-length, by load responding data and markers write-in historical data base or file;
On multiple agent flexible load response emulation platform, to bottom electric device, load cluster condensate and flexible load
Agent carries out multi-agent modeling, the simulation for realizing agent's decision-making, condensate communication interaction and electricity consumption element responds.
5. a kind of regulation and control emulation of the flexible load based on dispatching automation main station system as any one of claim 1-4
The regulation and control emulation mode of system, it is characterised in that the regulation and control emulation mode comprises the steps:
Step 1-1:Data prepare;
Step 1-2:Rolling planning in 5 minutes;
Step 1-3:Automatic generation AGC is controlled;
Step 1-4:Flexible load response emulation;
Step 1-5:Grid simulation.
6. emulation mode is regulated and controled as claimed in claim 5, it is characterised in that in the step 1-1, data message includes 5 minutes
Following 1 hour load prediction data, grid model data, unit operation information, unit regulation that rolling optimization application is obtained
Cost, flexible load adjustment cost and flexible load use electrical characteristics;
Above-mentioned data message completes once to update for every 5 minutes, and generates 5 minutes data sources of hair electricity combined optimization program.
7. emulation mode is regulated and controled as claimed in claim 5, it is characterised in that in the step 1-2, dispatching automation main station system
Start rolling optimization program within every 5 minutes, calculated by optimizing, solve under current power system running state, following one hour
Unit generation plan and load responding are expected.
8. emulation mode is regulated and controled as claimed in claim 5, it is characterised in that in the step 1-3, dispatching automation main station system
5 minutes operation plan desired values of unit are issued to AGC analog simulation modules, AGC analog simulations module is then according to power system
Actual motion state, particularly district control deviation are calculated the power tracking target of unit, and issue power control to unit
System instruction;Meanwhile, the flexible load with rapid adjustability participates in power system AGC regulations, with rapid adjustability
The power adjusting target of flexible load is calculated by AGC analog simulation modules, and is issued to the flexibility with rapid capability
In the controller of load;Wherein, the flexible load with rapid adjustability refers to that in 5 minutes power can be realized in minimum value
The load adjusted in maximum range;The controller of flexible load includes two classes:One class is comprising smart jack, intelligent electric meter
Electricity consumption element-external controller, it is another kind of be comprising air-conditioning temperature control single-chip microcomputer, charging pile charge and discharge control chip electricity consumption unit
Part built-in controller.
9. emulation mode is regulated and controled as claimed in claim 5, it is characterised in that in the step 1-4, with capability of fast response
Flexible load, receives AGC control instructions, is simulated by controller, and power signal is converted into the control letter of bottom electric device
Number, based on bottom electricity consumption component models, realize the response process simulation of the flexible load with capability of fast response;
For participating in 5 minutes flexible loads of rolling planning with agent's pattern, issued according to dispatching automation main station system
Load responding expectation, carries out decision-making, generates bottom load control order, and the bottom load governor control electricity consumption unit by responding
The electricity consumption behavior of part, including regulating command and the electric automobile charge and discharge electric signal of air-conditioning design temperature are generated, it is finally based on bottom
Electricity consumption component models, emulate to actual load response;Bottom electricity consumption element responds response results are interacted by Netlogo and expanded
Exhibition bag updates the load power of the affiliated node of flexible load;
The decision-making acts on behalf of that decision-making is acted on behalf of in decision-making, transferable load and Bidirectional load acts on behalf of decision-making including interruptible load;It is described
Transferable load acts on behalf of decision-making and interrupts control including air-conditioner temperature setting regulation, electric automobile charge and discharge control and large user.
10. emulation mode is regulated and controled as claimed in claim 9, it is characterised in that the step 1-4 comprises the steps:
Step 4-1:Start the Simulation Engineering that multiple agent flexible load responds emulation platform, wherein Simulation Engineering refers to:Many
Developed on intelligent body flexible load response emulation platform, including intelligent body initialization, agents and communications, intelligent body action, intelligence
Energy body input signal is monitored with state sampling and data monitoring with display module interior a set of for simulating flexible load control
System, load are from main response and the analogue system of load physics process evolution;
Step 4-2:The configuration file of flexible load model is read, flexible load physical parameter setting, customer parameter is completed initial
Change and communication structure initialization;
Step 4-3:Node reference power is read in timing;
Step 4-4:Flexible load response process is simulated:Agency is calculated by agent and has load general objective power under its command, then by being polymerized
Body calculated load cluster regulates and controls mesh parameter, electricity consumption element movement;Participate in the flexible load with rapid adjustability of AGC regulations
Then according to node reference power, by controller, load responding simulation is carried out;
Step 4-5:Response results are sampled:According to bottom electricity consumption element responds result, flexible load real response power is calculated;More
The grid model data of new grid simulation platform.
11. regulate and control emulation mode as claimed in claim 10, it is characterised in that in the step 1-5, grid simulation platform foundation
The AGC control instructions that dispatching automation main station system is issued, according to unit model, emulate to power of the assembling unit regulation, and according to
According to current electric grid service data, electric power system tide and frequency are calculated, and update electric network model.
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Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107423879A (en) * | 2017-06-07 | 2017-12-01 | 国网辽宁省电力有限公司 | A kind of method that controllable burden participates in Automatic Generation Control |
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CN109872228A (en) * | 2019-01-17 | 2019-06-11 | 华北电力大学(保定) | Meter and probabilistic flexible load polymerization quotient participate in electricity market Bidding system |
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103488835A (en) * | 2013-09-26 | 2014-01-01 | 国家电网公司 | Simulation platform and method for dispatching automation system |
CN103901778A (en) * | 2014-03-18 | 2014-07-02 | 国网四川省电力公司宜宾供电公司 | On-line simulation method for power grid reactive voltage control system |
CN104505864A (en) * | 2014-12-12 | 2015-04-08 | 国家电网公司 | Demand response control strategy simulation system and method for absorptive distributed type power generation |
CN104537178A (en) * | 2014-12-31 | 2015-04-22 | 南京邮电大学 | Electric power system joint simulation modeling method based on Matlab and Netlogo |
CN104536304A (en) * | 2014-12-31 | 2015-04-22 | 南京邮电大学 | Electric system load multi-agent control method based on Matlab and Netlogo |
-
2017
- 2017-01-23 CN CN201710058843.0A patent/CN106786558B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103488835A (en) * | 2013-09-26 | 2014-01-01 | 国家电网公司 | Simulation platform and method for dispatching automation system |
CN103901778A (en) * | 2014-03-18 | 2014-07-02 | 国网四川省电力公司宜宾供电公司 | On-line simulation method for power grid reactive voltage control system |
CN104505864A (en) * | 2014-12-12 | 2015-04-08 | 国家电网公司 | Demand response control strategy simulation system and method for absorptive distributed type power generation |
CN104537178A (en) * | 2014-12-31 | 2015-04-22 | 南京邮电大学 | Electric power system joint simulation modeling method based on Matlab and Netlogo |
CN104536304A (en) * | 2014-12-31 | 2015-04-22 | 南京邮电大学 | Electric system load multi-agent control method based on Matlab and Netlogo |
Cited By (10)
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---|---|---|---|---|
CN107423879A (en) * | 2017-06-07 | 2017-12-01 | 国网辽宁省电力有限公司 | A kind of method that controllable burden participates in Automatic Generation Control |
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CN109872228A (en) * | 2019-01-17 | 2019-06-11 | 华北电力大学(保定) | Meter and probabilistic flexible load polymerization quotient participate in electricity market Bidding system |
CN112260322A (en) * | 2020-10-10 | 2021-01-22 | 中国电力科学研究院有限公司 | Source network load storage simulation platform, method and system |
CN112350321A (en) * | 2020-11-27 | 2021-02-09 | 广东电网有限责任公司电力调度控制中心 | Flexible load regulation and control simulation system and method based on dispatching automation master station system |
CN113328474A (en) * | 2021-06-30 | 2021-08-31 | 南方电网科学研究院有限责任公司 | New energy AGC substation test system, method, equipment and medium |
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CN115203977A (en) * | 2022-08-24 | 2022-10-18 | 国网信息通信产业集团有限公司 | Power grid simulation system |
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