CN104505864B - Demand response control strategy analogue system and method for distributed power generation of dissolving - Google Patents
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- H—ELECTRICITY
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- H—ELECTRICITY
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Abstract
The present invention provides a kind of demand response control strategy analogue system for distributed power generation of dissolving and method, including model layer, sensing layer, key-course, application layer and assessment layer;Model layer is that described analogue system provides simulated environment, constructs simulating scenes;Model layer is processed by sensing layer, extracts and arrange current scene state, provides data source for application layer;Application layer is used for generating dispatching method;Described key-course performs the dispatching method that application layer generates, and Controlling model layer realizes action response, and model layer is adjusted by key-course simultaneously, issues control instruction to model layer;Assessment layer extracts power consumption index, provides demand response control strategy for application layer.The present invention can carry out design and the simulating, verifying of multiple demand response control strategy, design demand response control strategy based on multiple electricity consumption target, verified by closed-loop simulation, and be evaluated analyzing according to certain technical specification, by the design of closed loop implementation strategy, emulate and assess.
Description
Technical field
The invention belongs to electric system simulation field, be specifically related to a kind of demand response control strategy for distributed power generation of dissolving
Analogue system and method.
Background technology
The appearance of the electrical network new elements such as distributed energy, microgrid, energy storage device, Demand-side load, operation and the tune to power distribution network
Degree proposes new requirement, and the concept of active distribution network is arisen at the historic moment.The construction object of active distribution network is an up power distribution network to dividing
The digestion capability of the cloth energy, reduces the peak-valley difference in power distribution network running and comprehensive network loss, meet user to high-quality for
The customized demand of electricity, promotes that terminal use is actively engaged in ability to electric power system optimization operation, excavates power system further
Equipment utilization potentiality, effectively promote comprehensive utilization of energy level.Reasonable layout distributed power generation can improve system reliability, subtract
Few Congestion, reducing line loss, delay controller switching equipment to invest, distributed power generation has intermittence, randomness and ripple simultaneously
Dynamic property, if can not well process, can impact distribution safety and stability, causes flickering, harmonic wave and direct current note simultaneously
Enter.The undulatory property of power distribution network customer charge, peak-valley difference be big and the existence of imbalance between power supply and demand, and real-time requirement response can be with peak clipping
Fill out paddy, smooth electro-mechanical wave, reduce network loss simultaneously, alleviate power grid construction pressure.Demand response can reduce peak load, subtracts
Block up less and capacity limit, it is provided that electricity consumption regulation service, play frequency regulation, the effect of spinning reserve, tackle emergency,
The situation that prevention under-reserve or cascade have a power failure.
Summary of the invention
In order to overcome above-mentioned the deficiencies in the prior art, the present invention provides a kind of demand response for distributed power generation of dissolving to control plan
Slightly analogue system and method, by demand response control strategy reasonable in design, guide demand response flexible load electricity consumption curve is intended
Close distributed power generation power curve, realize different control purposes based on different electricity consumption target design demand response strategies.
In order to realize foregoing invention purpose, the present invention adopts the following technical scheme that:
The present invention provides a kind of demand response control strategy analogue system for distributed power generation of dissolving, and described analogue system includes
Model layer, sensing layer, key-course, application layer and assessment layer;Described model layer is that described analogue system provides simulated environment,
Construct simulating scenes;Model layer is processed by described sensing layer, extracts and arrange current scene state, provides for application layer
Data source;Application layer is used for generating dispatching method;Described key-course performs the dispatching method that application layer generates, and Controlling model layer is real
Existing action response, model layer is adjusted by key-course simultaneously, issues control instruction to model layer;Assessment layer is according to model layer
Response condition, extracts power consumption index, provides demand response control strategy for application layer.
Described model layer includes power source model and load model;
Described power source model includes distributed electrical source model and normal power supplies model;Described distributed electrical source model include wind-powered electricity generation model,
Photovoltage model and energy storage model, described normal power supplies model includes Use of Hydroelectric Model and thermoelectricity model;
Described load model includes flexible load model and conventional load model;Described flexible load model includes HVAC system mould
Type and water heater model;Described conventional load model includes constant power load model model.
The characteristic of described power source model includes distributed power source and the response characteristic of normal power supplies, acting characteristic and power characteristic;Negative
The characteristic of lotus model includes flexible load and the response characteristic of conventional load, acting characteristic and power characteristic;
The granularity of power source model arranges distributed power source and the region class of normal power supplies, cluster level and object level;
The granularity of load model arranges flexible load and the region class of conventional load, cluster level and object level.
At mains side, described sensing layer collects distributed power source and the installation total capacity of normal power supplies, maximum can send power, minimum
Allow to exert oneself, maximum can generate electricity stream, minimum permission electric current, proportion-controllable and response characteristic;
In load side, the algebraically of described sensing layer collection distribution flexible load and conventional load always adds, nothing retrains need for electricity amount,
Divide state minimum need for electricity amount, point state adjustable need for electricity amount, point state flexible load schedulable ratio and response characteristic.
The scene state that described application layer provides according to sensing layer describes, the demand response control strategy provided in conjunction with assessment layer, raw
Become dispatching method.
Described sensing layer includes model data and policy data for the data source that application layer provides;
Model data includes power data and load data;
Power data includes the schedulable generating capacity of distributed power source and normal power supplies, the history value of Minimum requirements capacity, minimum
The currency of demand capacity and the predictive value of Minimum requirements capacity;
Load data includes flexible load and point state schedulable need for electricity capacity of conventional load, point state Minimum requirements capacity
History value, the currency of point state Minimum requirements capacity and the predictive value of point state Minimum requirements capacity;
Policy data carrys out the demand response control strategy that self-evaluating layer generates.
Schedulable generating capacity, the schedulable need for electricity capacity of model layer are adjusted by described key-course, issue to model layer
Control instruction based on capacity requirement, time requirement and rate requirement.
Described key-course is action layer, and the control method that controller in key-course is corresponding includes directly controlling, encouraging control and valency
Lattice control;Directly controlling can direct the cut-offfing and service condition of operational load;Excitation controls to give controller regulation according to agreement
The ability of load, and customer charge is made compensation;Price controls to be judged voluntarily according to price the demand of electricity consumption by power load.
Controller can be divided into full powers control, semiautomatic control and Automatic Control according to controlling extent;The controller that full powers control can
To grasp the electricity consumption situation of load completely;The controller of semiautomatic control needs setting and the operation of user;The control of Automatic Control
Device processed is according to program setting, connected applications scene Load adjustment electricity consumption.
Described assessment layer is according to the response condition of model layer, and the power consumption index of extraction includes generate electricity total amount, electricity consumption total amount, generating profit
With rate, users'comfort, economic optimum and curve smoothing.
For the demand response control strategy that application layer provides, described assessment layer includes that power grid security guides strategy, the generating of maximum distribution formula
Guiding of dissolving electricity consumption comfort level tactful, optimal guides strategy, peak load shifting guides tactful and smooth electricity consumption curve orientation strategy.
The present invention also provides for a kind of demand response control strategy emulation mode for distributed power generation of dissolving, described method include with
Lower step:
Step 1: external file is input to described analogue system, arranges simulation parameter and initializes described analogue system;
Described simulation parameter includes clock, step-length and convergence criterion;Analogue system initialize include to network structure, geography information,
The initialization of physical configuration, weather information, power supply characteristic and configuration, part throttle characteristics and configuration;
Step 2: current scene state is extracted by sensing layer, aggregative model data, carry out scene state perception, obtain electricity
Source and the status information of load;
Step 3: based on electricity consumption target, assessment layer provides demand response control strategy;
Step 4: the scene state that application layer provides according to sensing layer describes, the demand response control strategy provided in conjunction with assessment layer,
Generate dispatching method;
Step 5: key-course controls power supply and power supply action, controls mains side and accesses electrical network or from grid disconnection, control load and open
Move, close or regulate electric power;
Step 6: based on electricity consumption target, assessment strategy is evaluated.
Compared with prior art, the beneficial effects of the present invention is:
A kind of demand response control strategy analogue system for distributed power generation of dissolving of present invention offer and method, it is possible to carry out
The design of multiple demand response control strategy and simulating, verifying, design demand response control strategy based on multiple electricity consumption target, logical
Cross closed-loop simulation checking, and according to certain technical specification be evaluated analyze, by the design of closed loop implementation strategy, emulation with
Assessment.
Accompanying drawing explanation
Fig. 1 is the demand response control strategy analogue system structured flowchart for distributed power generation of dissolving;
Fig. 2 is the demand response control strategy emulation mode flow chart for distributed power generation of dissolving.
Detailed description of the invention
Below in conjunction with the accompanying drawings the present invention is described in further detail.
Such as Fig. 1, the present invention provides a kind of demand response control strategy analogue system for distributed power generation of dissolving, described emulation
System includes model layer, sensing layer, key-course, application layer and assessment layer;It is imitative that described model layer is that described analogue system provides
True environment, constructs simulating scenes;Model layer is processed by described sensing layer, extracts and arrange current scene state, for answering
Data source is provided with layer;Application layer is used for generating dispatching method;Described key-course performs the dispatching method that application layer generates, and controls
Model layer realizes action response, and model layer is adjusted by key-course simultaneously, issues control instruction to model layer;Assessment layer according to
The response condition of model layer, extracts power consumption index, provides demand response control strategy for application layer.
Described model layer includes power source model and load model;
Described power source model includes distributed electrical source model and normal power supplies model;Described distributed electrical source model include wind-powered electricity generation model,
Photovoltage model and energy storage model, described normal power supplies model includes Use of Hydroelectric Model and thermoelectricity model;
Described load model includes flexible load model and conventional load model;Described flexible load model includes that HVAC system (is adopted
HVAC wind and air handling system) model and water heater model;Described conventional load model includes constant power load model model.
The characteristic of described power source model includes distributed power source and the response characteristic of normal power supplies, acting characteristic and power characteristic;Negative
The characteristic of lotus model includes flexible load and the response characteristic of conventional load, acting characteristic and power characteristic;
The granularity of power source model arranges distributed power source and the region class of normal power supplies, cluster level and object level;
The granularity of load model arranges flexible load and the region class of conventional load, cluster level and object level.
At mains side, described sensing layer collects distributed power source and the installation total capacity of normal power supplies, maximum can send power, minimum
Allow to exert oneself, maximum can generate electricity stream, minimum permission electric current, proportion-controllable and response characteristic;
In load side, the algebraically of described sensing layer collection distribution flexible load and conventional load always adds, nothing retrains need for electricity amount,
Divide state minimum need for electricity amount, point state adjustable need for electricity amount, point state flexible load schedulable ratio and response characteristic.
The scene state that described application layer provides according to sensing layer describes, the demand response control strategy provided in conjunction with assessment layer, raw
Become dispatching method.
Described sensing layer includes model data and policy data for the data source that application layer provides;
Model data includes power data and load data;
Power data includes the schedulable generating capacity of distributed power source and normal power supplies, the history value of Minimum requirements capacity, minimum
The currency of demand capacity and the predictive value of Minimum requirements capacity;
Load data includes flexible load and point state schedulable need for electricity capacity of conventional load, point state Minimum requirements capacity
History value, the currency of point state Minimum requirements capacity and the predictive value of point state Minimum requirements capacity;
Policy data carrys out the demand response control strategy that self-evaluating layer generates.
Schedulable generating capacity, the schedulable need for electricity capacity of model layer are adjusted by described key-course, issue to model layer
Control instruction based on capacity requirement, time requirement and rate requirement.
Described key-course is action layer, and the control method that controller in key-course is corresponding includes directly controlling, encouraging control and valency
Lattice control;Directly controlling can direct the cut-offfing and service condition of operational load;Excitation controls to give controller regulation according to agreement
The ability of load, and customer charge is made compensation;Price controls to be judged voluntarily according to price the demand of electricity consumption by power load.
Controller can be divided into full powers control, semiautomatic control and Automatic Control according to controlling extent;The controller that full powers control can
To grasp the electricity consumption situation of load completely;The controller of semiautomatic control needs setting and the operation of user;The control of Automatic Control
Device processed is according to program setting, connected applications scene Load adjustment electricity consumption.
Described assessment layer is according to the response condition of model layer, and the power consumption index of extraction includes generate electricity total amount, electricity consumption total amount, generating profit
With rate, users'comfort, economic optimum and curve smoothing.
For the demand response control strategy that application layer provides, described assessment layer includes that power grid security guides strategy, the generating of maximum distribution formula
Guiding of dissolving electricity consumption comfort level tactful, optimal guides strategy, peak load shifting guides tactful and smooth electricity consumption curve orientation strategy.
Power grid security guides strategy and wants object function headed by power network safety operation, it is ensured that power quality and power safety;?
Big distributed power generation guiding strategy of dissolving, with preferential, fully distributed power generation of dissolving for guiding, does not pay the utmost attention to economics of power generation;
Optimal electricity consumption comfort level guides strategy preferentially to ensure that power quality, need for electricity are for guiding, it is desirable to mains side coordinates load side;
Peak load shifting guide strategy with matching power supply generating curve and load electricity consumption curve for guide, reduce peak block up, guide low ebb use
Electricity;Smooth electricity consumption curve orientation strategy, with raising curve smoothing for guiding, reduces curve fluctuation, makes hair electricity curve more preferably intend
Close.
Such as Fig. 2, the present invention also provides for a kind of demand response control strategy emulation mode for distributed power generation of dissolving, described side
Method comprises the following steps:
Step 1: external file is input to described analogue system, arranges simulation parameter and initializes described analogue system;
Described simulation parameter includes clock, step-length and convergence criterion;Analogue system initialize include to network structure, geography information,
The initialization of physical configuration, weather information, power supply characteristic and configuration, part throttle characteristics and configuration;
Step 2: current scene state is extracted by sensing layer, aggregative model data, carry out scene state perception, obtain electricity
Source and the status information of load;
Step 3: based on electricity consumption target, assessment layer provides demand response control strategy;
Step 4: the scene state that application layer provides according to sensing layer describes, the demand response control strategy provided in conjunction with assessment layer,
Generate dispatching method;
Step 5: key-course controls power supply and power supply action, controls mains side and accesses electrical network or from grid disconnection, control load and open
Move, close or regulate electric power;
Step 6: based on electricity consumption target, demand response control strategy is evaluated.
By above-mentioned enforcement step, it is achieved distributed power generation curve and the matching of power load curve, by perception-calculating-control
Closed loop perform, it is achieved strategy design, emulate and assess.
Finally should be noted that: above example is only in order to illustrate that technical scheme is not intended to limit, although reference
The present invention has been described in detail by above-described embodiment, those of ordinary skill in the field it is understood that still can to this
Invention detailed description of the invention modify or equivalent, and without departing from spirit and scope of the invention any amendment or etc.
With replacing, it all should be contained in the middle of scope of the presently claimed invention.
Claims (9)
1. the demand response control strategy analogue system for distributed power generation of dissolving, it is characterised in that: described analogue system
Including model layer, sensing layer, key-course, application layer and assessment layer;Described model layer is that described analogue system provides emulation ring
Border, constructs simulating scenes;Model layer is processed by described sensing layer, extracts and arrange current scene state, for application layer
Data source is provided;Application layer is used for generating dispatching method;Described key-course performs the dispatching method that application layer generates, Controlling model
Layer realizes action response, and model layer is adjusted by key-course simultaneously, issues control instruction to model layer;Assessment layer is according to model
The response condition of layer, extracts power consumption index, provides demand response control strategy for application layer;
Described model layer includes power source model and load model;
Described power source model includes distributed electrical source model and normal power supplies model;Described distributed electrical source model include wind-powered electricity generation model,
Photovoltage model and energy storage model, described normal power supplies model includes Use of Hydroelectric Model and thermoelectricity model;
Described load model includes flexible load model and conventional load model;Described flexible load model includes HVAC system mould
Type and water heater model;Described conventional load model includes constant power load model model;
The characteristic of described power source model includes distributed power source and the response characteristic of normal power supplies, acting characteristic and power characteristic;Negative
The characteristic of lotus model includes flexible load and the response characteristic of conventional load, acting characteristic and power characteristic;
The granularity of power source model arranges distributed power source and the region class of normal power supplies, cluster level and object level;
The granularity of load model arranges flexible load and the region class of conventional load, cluster level and object level.
Demand response control strategy analogue system for distributed power generation of dissolving the most according to claim 1, its feature exists
In: at mains side, described sensing layer collects distributed power source and the installation total capacity of normal power supplies, maximum can send power, minimum
Allow to exert oneself, maximum can generate electricity stream, minimum permission electric current, proportion-controllable and response characteristic;
In load side, the algebraically of described sensing layer collection distribution flexible load and conventional load always adds, nothing retrains need for electricity amount,
Divide state minimum need for electricity amount, point state adjustable need for electricity amount, point state flexible load schedulable ratio and response characteristic.
Demand response control strategy analogue system for distributed power generation of dissolving the most according to claim 2, its feature exists
In: the scene state that described application layer provides according to sensing layer describes, the demand response control strategy provided in conjunction with assessment layer, raw
Become dispatching method.
Demand response control strategy analogue system for distributed power generation of dissolving the most according to claim 3, its feature exists
In: described sensing layer includes model data and policy data for the data source that application layer provides;
Model data includes power data and load data;
Power data includes the schedulable generating capacity of distributed power source and normal power supplies, the history value of Minimum requirements capacity, minimum
The currency of demand capacity and the predictive value of Minimum requirements capacity;
Load data includes flexible load and point state schedulable need for electricity capacity of conventional load, point state Minimum requirements capacity
History value, the currency of point state Minimum requirements capacity and the predictive value of point state Minimum requirements capacity;
Policy data carrys out the demand response control strategy that self-evaluating layer generates.
Demand response control strategy analogue system for distributed power generation of dissolving the most according to claim 1, its feature exists
In: schedulable generating capacity, the schedulable need for electricity capacity of model layer are adjusted by described key-course, issue to model layer
Control instruction based on capacity requirement, time requirement and rate requirement.
Demand response control strategy analogue system for distributed power generation of dissolving the most according to claim 5, its feature exists
In: described key-course is action layer, and the control method that controller in key-course is corresponding includes directly controlling, encouraging control and valency
Lattice control;Directly controlling can direct the cut-offfing and service condition of operational load;Excitation controls to give controller regulation according to agreement
The ability of load, and customer charge is made compensation;Price controls to be judged voluntarily according to price the demand of electricity consumption by power load.
Demand response control strategy analogue system for distributed power generation of dissolving the most according to claim 6, its feature exists
In: controller can be divided into full powers control, semiautomatic control and Automatic Control according to controlling extent;The controller that full powers control can
To grasp the electricity consumption situation of load completely;The controller of semiautomatic control needs setting and the operation of user;The control of Automatic Control
Device processed is according to program setting, connected applications scene Load adjustment electricity consumption.
Demand response control strategy analogue system for distributed power generation of dissolving the most according to claim 1, its feature exists
In: described assessment layer is according to the response condition of model layer, and the power consumption index of extraction includes generate electricity total amount, electricity consumption total amount, generating profit
With rate, users'comfort, economic optimum and curve smoothing.
Demand response control strategy analogue system for distributed power generation of dissolving the most according to claim 8, its feature exists
In: for the demand response control strategy that application layer provides, described assessment layer includes that power grid security guides strategy, the generating of maximum distribution formula
Guiding of dissolving electricity consumption comfort level tactful, optimal guides strategy, peak load shifting guides tactful and smooth electricity consumption curve orientation strategy.
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CN105159093B (en) * | 2015-10-08 | 2018-06-29 | 国电南京自动化股份有限公司 | Microgrid energy Optimal Control System and its design method based on model adaptation |
CN106597858B (en) * | 2017-01-17 | 2019-09-06 | 深圳傲华科技有限公司 | Flexible load regulation method and its system towards new energy consumption |
CN106786558B (en) * | 2017-01-23 | 2022-09-23 | 中国电力科学研究院 | Flexible load regulation and control simulation system and method based on dispatching automation master station system |
CN107994574B (en) * | 2017-12-13 | 2021-07-16 | 国网辽宁省电力有限公司葫芦岛供电公司 | New energy consumption-oriented centralized temperature control load side demand response decision method |
CN108549256B (en) * | 2018-04-08 | 2021-09-03 | 中国电力科学研究院有限公司 | Demand response digital physical hybrid simulation method and system |
CN110118441A (en) * | 2019-05-14 | 2019-08-13 | 华北电力大学 | A method of power grid supply and demand, which is participated in, using smart home interacts |
CN110401186A (en) * | 2019-07-13 | 2019-11-01 | 国网天津市电力公司 | Area power grid source net lotus stores up the ubiquitous Dispatching Control System of Multi-value coordination |
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