CN109494730A - Electric system running simulation emulation mode day by day under new-energy grid-connected - Google Patents
Electric system running simulation emulation mode day by day under new-energy grid-connected Download PDFInfo
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- CN109494730A CN109494730A CN201811532283.9A CN201811532283A CN109494730A CN 109494730 A CN109494730 A CN 109494730A CN 201811532283 A CN201811532283 A CN 201811532283A CN 109494730 A CN109494730 A CN 109494730A
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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
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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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
- H02J3/38—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
-
- 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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Abstract
The invention discloses the running simulation emulation modes day by day of electric system under new-energy grid-connected, comprising: determines the minimum running optimizatin target of system cost of electricity-generating, establishes the certainty Unit Combination and economic load dispatching model for considering line security constraint.The present invention is in the simulation of temporary stage day operation, consider a series of operation constraints and scheduling rule of south electric network, account for the mutually coordinated Unit Combination for being adapted to southern net power grid of polymorphic type power supply, realize the grade of hour day by day continuous " panorama " simulation refined to south electric network long-play level, the certainty Unit Combination and economic load dispatching model for considering line security constraint are established, realizes the simulation of a plurality of types of units, a variety of constraint conditions and a variety of dispatching running ways.
Description
Technical field
The present invention relates to electric power system dispatching running simulation technical field, electric system under especially a kind of new-energy grid-connected
Day by day running simulation emulation mode.
Background technique
In recent years, being continuously increased with electric system scale, the addition of the intermittent energy sources such as wind-powered electricity generation, solar energy are big to advise
Construction of the mould across basin cascade hydropower stations, the access of the multiple types power supply such as nuclear power, hydroenergy storage station, gas turbine and electricity
Net the complexity that operation of power networks has all been significantly greatly increased in the factors such as the pattern of remote alternating current-direct current mixing transmission of electricity.How in complicated power supply
It optimizes the system operation under power grid environment, improves the energy saving economy of system, reduction system discharge intensity is faced as Electric Power Network Planning
Major issue.It is multi-party that the running optimizatin of power grid is related to peak-load regulating, complicated power supply architecture coordination, line section trend safety etc.
The factor in face, the analysis for typical operation modes are often only able to achieve the evaluation to security of system, and for system energy consumption,
Excessively rough for cost and discharge, needing can fine evaluation difference to the running simulation in power grid Long time scale
Energy saving, economy and the carbon intensity of management and running scheme.Network system management and running simulation is electric system one kind
Important analytical technology, principle are: pre- in conjunction with system loading according to electric system power network planning scheme and power supply installation planning
It surveys, non-renewable energy situation formation Operation of Electric Systems boundary condition, certain regulation goal is selected, under a series of operations constraint
The operational process of simulation system for a period of time, according to system operation simulation outcome evaluation systems organization scheme or system operation side
Formula.It is accessed under the new situation in extensive new energy, traditional power planning Trajectory and method are difficult to comprehensive consideration system
The various methods of operation that system faces.This objectively requires the assessment of power planning scheme that must refine reproduction from the angle of planning
The case where system future runs, using the result of operation " simulation " as the important evidence of power planning decision.
Summary of the invention
The object of the present invention is to provide the running simulation emulation modes day by day of electric system under new-energy grid-connected, realize multiple types
The simulation of the unit of type, a variety of constraint conditions and a variety of dispatching running ways.
To achieve the above object, the present invention adopts the following technical solutions:
Electric system running simulation emulation mode day by day under new-energy grid-connected, comprising: determine that system cost of electricity-generating is minimum
Running optimizatin target establishes the certainty Unit Combination and economic load dispatching model for considering line security constraint.
Further, the objective function of the minimum running optimizatin target of the determining system cost of electricity-generating are as follows:
In formula: T is period sum in optimizing cycle；C(Pt) be all types of unit t period output powers be PtWhen operation
Cost, subscript c, f, h, p, w respectively indicate in a few days can not start and stop thermoelectricity, in a few days can start and stop thermoelectricity, water power, pumped storage, new energy；Cw
To cut off new energy cost；New energy power is cut for the t period；For t period cutting load power；VdFor each node cutting load damage
It loses；Cf、CcFor Unit Commitment expense；θ, η, γ are weighting coefficient.
Further, described to establish the certainty Unit Combination and economic load dispatching model for considering line security constraint, specifically
Include: consider fired power generating unit peak regulation depth and in a few days whether can start and stop, establish the operation binding feature of fired power generating unit；Consider pre-
Measured value control power output is run in predicted value or following range, establishes the operation binding feature of new energy；Consideration is in a few days carried on a shoulder pole
When water-storage peak regulation or take on it is spare, establish water-storage operation binding feature；Establish positive and negative percentage reserve operation constraint.
Further, the consideration fired power generating unit peak regulation depth and in a few days whether can start and stop, establish the fortune of fired power generating unit
Row binding feature, specifically includes: the technology units limits of fired power generating unit specifically include that fired power generating unit power output bound, thermal motor
Group Climing constant and fired power generating unit minimum startup-shutdown time-constrain,
In formula: Pcmin,Pcmax,Pfmin,PfmaxRespectively unit minimum load and maximum output；IcFor in a few days can not start and stop
Group state variable,For in a few days can start and stop unit t period state variable；About for the booting of unit minimum, unused time
Beam；Climbing, upper creep speed respectively under unit.
Further, the consideration predicted value control power output is run in predicted value or following range, establishes new energy
The operation binding feature in source, specifically includes: new energy simulates power can generated output as its maximumAnd it is simulated in day operation
Excision new energy mechanism is introduced in model, makes model that can not provide peak capacity in system, and system reserve capacity is insufficient or new energy
Cut-out renewable energy is contributed in the case of source submitting is obstructed, and constraint equation is
In formula:For t period new energy power output；New energy power is cut for the t period.
Further, the consideration water power power benefit and benefit of peak regulation establish water power operation binding feature, specific to wrap
It includes: water power and pumped storage units limits are as follows:
In formula: Phmin,PhmaxFor Hydropower Unit minimum load and maximum output, the first row indicates Hydropower Unit power output up and down
Limit constraint；QhydroFor Hydropower Unit daily generation, the second row indicates the constraint of Hydropower Unit daily generation, if optimum results equation is not
It sets up, then illustrates that water power occurs abandoning water, abandoning water conversion as electricity isPp,pump,Pp,genFor pumped storage unit unit
Period maximum pump-out and generated energy, the third line indicate the constraint of pumped storage unit output bound；To describe pumped storage machine
The state variable that the group t period draws water or generates electricity, fourth line indicate that pumped storage unit draws water and constrain with generating state mutual exclusion；λpFor pumped storage
The efficiency of unit, fifth line indicate the daily pump-out of pumped storage unit and generated energy Constraints of Equilibrium.
Further, described to establish positive and negative percentage reserve operation constraint, specifically include: Reserve Constraint may be expressed as:
In formula: DtFor the load of t period；The respectively positive percentage reserve Yu negative percentage reserve of t period；Constrain the first row
Indicate that positive Reserve Constraint, the second row indicate negative Reserve Constraint.
The effect provided in summary of the invention is only the effect of embodiment, rather than invents all whole effects, above-mentioned
A technical solution in technical solution have the following advantages that or the utility model has the advantages that
The present invention considers a series of operation constraints and scheduling rule of south electric network in the simulation of temporary stage day operation,
The mutually coordinated Unit Combination for being adapted to southern net power grid of polymorphic type power supply is accounted for, is realized to south electric network long-play
The grade of hour day by day continuous " panorama " simulation that level is refined, establishes the certainty unit group for considering line security constraint
Conjunction and economic load dispatching model, realize the simulation of a plurality of types of units, a variety of constraint conditions and a variety of dispatching running ways.
Specific embodiment
In order to clarify the technical characteristics of the invention, being explained in detail below by specific embodiment the present invention
It states.Following disclosure provides many different embodiments or example is used to realize different structure of the invention.In order to simplify this
The disclosure of invention is hereinafter described the component of specific examples and setting.In addition, the present invention can weigh in different examples
Multiple reference number and/or letter.This repetition is for purposes of simplicity and clarity, itself not indicate discussed various implementations
Relationship between example and/or setting.
Electric system running simulation emulation mode day by day under new-energy grid-connected, comprising: determine that system cost of electricity-generating is minimum
Running optimizatin target establishes the certainty Unit Combination and economic load dispatching model for considering line security constraint.
Determine the objective function of the minimum running optimizatin target of system cost of electricity-generating are as follows:
In formula: T is period sum in optimizing cycle；C(Pt) be all types of unit t period output powers be PtWhen operation
Cost, subscript c, f, h, p, w respectively indicate in a few days can not start and stop thermoelectricity, in a few days can start and stop thermoelectricity, water power, pumped storage, new energy；Cw
To cut off new energy cost；New energy power is cut for the t period；For t period cutting load power；VdFor each node cutting load damage
It loses；Cf、CcFor Unit Commitment expense；θ, η, γ are weighting coefficient.
The certainty Unit Combination and economic load dispatching model for considering line security constraint are established, is specifically included: considering thermoelectricity
Peak load regulation depth and in a few days whether can start and stop, establish the operation binding feature of fired power generating unit；Consider predicted value control power output
It is run in predicted value or following range, establishes the operation binding feature of new energy；Water-storage tune is in a few days taken in consideration
Peak or take on it is spare, establish water-storage operation binding feature；Establish positive and negative percentage reserve operation constraint.
Consider fired power generating unit peak regulation depth and in a few days whether can start and stop, establish the operation binding feature of fired power generating unit, have
Body include: fired power generating unit technology units limits specifically include that fired power generating unit power output bound, fired power generating unit Climing constant and
Fired power generating unit minimum startup-shutdown time-constrain,
In formula: Pcmin,Pcmax,Pfmin,PfmaxRespectively unit minimum load and maximum output；IcFor in a few days can not start and stop
Group state variable,For in a few days can start and stop unit t period state variable；About for the booting of unit minimum, unused time
Beam；Climbing, upper creep speed respectively under unit.
The difference of new energy and conventional energy resource is that its power output is random changeable, uncontrollable.In management and running, according only to day
Preceding predicted value control power output is run in predicted value or following range；Simultaneously according to the requirements of operation of power networks energy-saving and environmental protection,
New energy is required fully to surf the Internet in the case where power grid can be received.The present embodiment simulates new energy in the modeling of new energy
Power output can generated output as its maximumAnd excision new energy mechanism is introduced in day operation simulation model, make the model be
System can not provide peak capacity, and cut-out renewable energy goes out in the case of system reserve capacity is insufficient or new energy submitting is obstructed
Power, constraint equation are
In formula:For t period new energy power output；New energy power is cut for the t period.
Consider water power power benefit and benefit of peak regulation, establishes water power operation binding feature, specifically include: water power and pumped storage
Units limits are as follows:
In formula: Phmin,PhmaxFor Hydropower Unit minimum load and maximum output, the first row indicates Hydropower Unit power output up and down
Limit constraint；QhydroFor Hydropower Unit daily generation, the second row indicates the constraint of Hydropower Unit daily generation, if optimum results equation is not
It sets up, then illustrates that water power occurs abandoning water, abandoning water conversion as electricity isPp,pump,Pp,genFor pumped storage unit unit
Period maximum pump-out and generated energy, the third line indicate the constraint of pumped storage unit output bound；To describe pumped storage
The state variable that the unit t period draws water or generates electricity, fourth line indicate that pumped storage unit draws water and constrain with generating state mutual exclusion；λpTo take out
The efficiency of unit is stored, fifth line indicates the daily pump-out of pumped storage unit and generated energy Constraints of Equilibrium.
Positive and negative percentage reserve operation constraint is established, specifically include: Reserve Constraint may be expressed as:
In formula: DtFor the load of t period；The respectively positive percentage reserve Yu negative percentage reserve of t period；Constrain the first row
Indicate that positive Reserve Constraint, the second row indicate negative Reserve Constraint.
Above-mentioned specific embodiments of the present invention have been described, but it is not intended to limit the protection scope of the present invention, institute
Category field technical staff should be understood that based on the technical solutions of the present invention those skilled in the art do not need to pay wound
The various modifications or changes that the property made labour can be made are still within protection scope of the present invention.
Claims (7)
1. electric system running simulation emulation mode day by day under new-energy grid-connected, characterized in that include:
Determine the minimum running optimizatin target of system cost of electricity-generating, establish consider the certainty Unit Combination of line security constraint with
Economic load dispatching model.
2. the method as described in claim 1, characterized in that the minimum running optimizatin target of the determining system cost of electricity-generating
Objective function are as follows:
In formula: T is period sum in optimizing cycle；C(Pt) be all types of unit t period output powers be PtWhen operating cost,
Subscript c, f, h, p, w respectively indicate in a few days can not start and stop thermoelectricity, in a few days can start and stop thermoelectricity, water power, pumped storage, new energy；CwTo cut
Except new energy cost；New energy power is cut for the t period；For t period cutting load power；VdFor the loss of each node cutting load；
Cf、CcFor Unit Commitment expense；θ, η, γ are weighting coefficient.
3. the method as described in claim 1, characterized in that described to establish the certainty Unit Combination for considering line security constraint
With economic load dispatching model, specifically include: consider fired power generating unit peak regulation depth and in a few days whether can start and stop, establish fired power generating unit
Run binding feature；Consider that predicted value control power output is run in predicted value or following range, establishes the operation of new energy
Binding feature；Consideration in a few days take on water-storage peak regulation or take on it is spare, establish water-storage operation binding feature；It establishes positive and negative
Percentage reserve operation constraint.
4. method as claimed in claim 3, characterized in that the consideration fired power generating unit peak regulation depth and whether can in a few days open
Stop, establish the operation binding feature of fired power generating unit, specifically include: the technology units limits of fired power generating unit specifically include that thermal motor
Group power output bound, fired power generating unit Climing constant and fired power generating unit minimum startup-shutdown time-constrain,
In formula: Pcmin,Pcmax,Pfmin,PfmaxRespectively unit minimum load and maximum output；IcFor in a few days can not start and stop unit shape
State variable,For in a few days can start and stop unit t period state variable；For the booting of unit minimum, unused time constraint；Climbing, upper creep speed respectively under unit.
5. method as claimed in claim 3, characterized in that consideration predicted value control power output is in predicted value or below
Operation in range, establish the operation binding feature of new energy, specifically include: new energy simulates power and can generate electricity out as its maximum
PowerAnd excision new energy mechanism is introduced in day operation simulation model, make model that can not provide peak capacity, system in system
Cut-out renewable energy is contributed in the case of spare capacity is insufficient or new energy submitting is obstructed, and constraint equation is
In formula:For t period new energy power output；New energy power is cut for the t period.
6. method as claimed in claim 3, characterized in that the consideration water power power benefit and benefit of peak regulation establish water power
Binding feature is run, is specifically included: water power and pumped storage units limits are as follows:
In formula: Phmin,PhmaxFor Hydropower Unit minimum load and maximum output, the first row indicates Hydropower Unit power output bound about
Beam；QhydroFor Hydropower Unit daily generation, the second row indicates the constraint of Hydropower Unit daily generation, if optimum results equation not at
It is vertical, then illustrate that water power occurs abandoning water, abandoning water conversion as electricity isPp,pump,Pp,genWhen for pumped storage unit unit
The maximum pump-out of section and generated energy, the third line indicate the constraint of pumped storage unit output bound；To describe pumped storage unit
The state variable that the t period draws water or generates electricity, fourth line indicate that pumped storage unit draws water and constrain with generating state mutual exclusion；λpFor pumped storage machine
The efficiency of group, fifth line indicate the daily pump-out of pumped storage unit and generated energy Constraints of Equilibrium.
7. method as claimed in claim 3, characterized in that it is described to establish positive and negative percentage reserve operation constraint, it specifically includes: spare
Constraint may be expressed as:
In formula: DtFor the load of t period； The respectively positive percentage reserve Yu negative percentage reserve of t period；Constraining the first row indicates just
Reserve Constraint, the second row indicate negative Reserve Constraint.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113809773A (en) * | 2021-09-22 | 2021-12-17 | 南方电网科学研究院有限责任公司 | Power system production simulation method, device and equipment based on offshore wind turbine generator |
| CN113937819A (en) * | 2021-06-30 | 2022-01-14 | 国网甘肃省电力公司电力科学研究院 | Multi-energy short-term optimization scheduling method |
| CN114336730A (en) * | 2021-11-21 | 2022-04-12 | 国网江苏省电力有限公司 | Low-carbon optimal scheduling method considering auxiliary service optimization for power system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113937819A (en) * | 2021-06-30 | 2022-01-14 | 国网甘肃省电力公司电力科学研究院 | Multi-energy short-term optimization scheduling method |
| CN113809773A (en) * | 2021-09-22 | 2021-12-17 | 南方电网科学研究院有限责任公司 | Power system production simulation method, device and equipment based on offshore wind turbine generator |
| CN114336730A (en) * | 2021-11-21 | 2022-04-12 | 国网江苏省电力有限公司 | Low-carbon optimal scheduling method considering auxiliary service optimization for power system |
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