CN109449988A - The electric system of extensive new energy power generation grid-connection simulation method day by day - Google Patents
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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
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Abstract
The invention discloses the electric system of extensive new energy power generation grid-connection simulation methods day by day, comprising: determines optimization aim, considers the Unit Combination model of route constraint using day as the management and running of unit simulation system according to the boundary condition of input.Establish the Unit Combination model for considering line security constraint, using the result of long-term running simulation in unit maintenance arrangement, the simulation of new energy power output and water power as boundary condition, multiple types unit, different zones coordination and the simulation of a variety of dispatching running ways are realized.
Description
Technical field
The present invention relates to electric power system dispatching running simulation technical field, especially a kind of extensive new energy power generation grid-connection
Electric system simulation method day by day.
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 a kind of electric system of extensive new energy power generation grid-connection simulation method day by day,
Based on timing load curve, the Unit Combination and economic load dispatching model as unit of one day are introduced, keeps planning appraisal and system real
Border operation closely combines.
To achieve the above object, the present invention adopts the following technical solutions:
The electric system of extensive new energy power generation grid-connection simulation method day by day, comprising: determine optimization aim, according to
The boundary condition of input considers the Unit Combination model of route constraint using day as the management and running of unit simulation system.
Further, in the determining optimization aim objective function be system cost of electricity-generating and system start-up and shut-down costs most
It is low:
Further, the boundary condition of the input includes that system loading predictive information, interconnection are sent by electricity plan, power supply
Planning information, unit running technology parameter, Electric Power Network Planning information, route and section parameter, wind power plant planning information and system
Set operating parameter.
Further, the constraint condition of the Unit Combination model for considering route constraint includes:
Account load balancing constraints:
The positive and negative spare capacity constraint of system:
Each unit output of system and its startup-shutdown state relation constrain:
New energy units limits:
0≤pj,t≤wj,t, t=1,2 ..., T, j ∈ ΩWF；
Unit ramp loss:
While this constrains in adjacent two periods power output creep speed when guaranteeing unit booting, guarantee first after unit booting
The power output of the last one period is the minimum load of unit before the power output and shutdown of period,
Unit minimum startup-shutdown time-constrain:
Unit booting cost constraint:
The constraint of unit daily electricity:
Pump-storage generator operation constraint:
The power output of pump-storage generator in a few days needs to meet the balance drawn water with power generation, considers the drawing water of water-storage-
Generate electricity transfer efficiency, electric quantity balancing constraint are as follows:
Water-storage maximum is drawn water constraint of the electricity by upper storage reservoir storage capacity, and constraint may be expressed as:
It introduces pumped storage unit to draw water state variable, and adds following constraint condition:
The mutual exclusion constraint of draw water state and the generating state of addition pump-storage generator, is shown below:
Route and section tidal current constraint:
Zonal reserve constraint
Multiple areas need to guarantee that booting is that area's internal loading reserves sufficient spare capacity in respective area in power grid, and subregion is standby
It may be expressed as: with constraint
In formula: i ∈ z indicates unit i in the z of region, and m ∈ z indicates node m in the z of region, and l ∈ Z+ and l ∈ Z- distinguishes table
Show terminal and starting point in the transregional route in the region z；Constraining the first row indicates that the positive Reserve Constraint of subregion, the second row indicate that subregion is 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
1, the present invention had both considered the electricity of system in running simulation model to the integrated running simulation of power generating facilities and power grids progress
Power electric quantity balancing, it is also contemplated that the Static Security Constraints of power supply and power grid.Both the demonstration of power generation configuration, power supply architecture can have been done,
The analysis and assessment of power grid can be done.
2, the present invention is it can be considered that the running various constraint conditions of system call such as peak load regulation constraint, the start and stop of unit
Constraint, network constraint etc. embody the constraint of electric system actual motion.
3, the present invention can be suitable for multi area interconnected system, both consider the constraint of system inner region inter-domain exchanges power,
It is contemplated that the external agreement power transmission of each region constrains, and economy is carried out to it and carries out analysis and assessment.
4, the present invention fully considers peak-load regulating problem in running simulation, and moving model is to be based on timing load curve,
Peak regulation constraint is relatively easily introduced, and considers operation characteristic, the switching cost of start and stop unit etc. of fired power generating unit, to every
The optimal reasonable Unit Combination of economy is made in it simulation, can for electric system peaking power source planning and assessment and
Performance analysis provides the foundation of science.In addition add multi area interconnection feature, can for different regions power supply architecture complementarity,
Load between different regions benefit etc. of avoiding the peak hour makes assessment.
5, present invention introduces renewable energy to cut off mechanism, and introducing excision in Unit Combination and economic load dispatching model can be again
The mechanism of the raw energy makes model system in renewable energy source terminal power output that can not provide peak capacity or renewable energy
In the case of source submitting is obstructed, cut-out renewable energy power output.The introducing of the mechanism enables model really to reflect that system is held
Carry the ability for carrying extensive renewable energy.Using the model, electricity in the case of extensive renewable energy access can be realized
The comprehensive assessment in source and grid adaptability and economy.
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.
Day by day running simulation model is substantially the Unit Combination model of a consideration polymorphic type unit, is considered in model each
The power producing characteristics of type unit and operation constraint, it is intended to being capable of the actual management and running situation of maximum simulation system.
The electric system of extensive new energy power generation grid-connection simulation method day by day, comprising: optimization aim is determined, according to the side of input
Boundary's condition considers the Unit Combination model of route constraint using day as the management and running of unit simulation system.
Determine that objective function is that system cost of electricity-generating and system start-up and shut-down costs are minimum in optimization aim:
The boundary condition of input includes that system loading predictive information, interconnection are sent by electricity plan, power source planning information, unit
Running technology parameter, Electric Power Network Planning information, route and section parameter, wind power plant planning information and default operating parameter.
The constraint condition of Unit Combination model for considering route constraint includes:
Account load balancing constraints
The positive and negative spare capacity constraint of system
Each unit output of system and its startup-shutdown state relation constrain
New energy units limits
0≤pj,t≤wj,t, t=1,2 ..., T, j ∈ ΩWF
Unit ramp loss
While this constrains in adjacent two periods power output creep speed when guaranteeing unit booting, guarantee first after unit booting
The power output of the last one period is the minimum load of unit before the power output and shutdown of period.
Unit minimum startup-shutdown time-constrain
Unit booting cost constraint
The constraint of unit daily electricity
Pump-storage generator operation constraint
The power output of pump-storage generator in a few days needs to meet the balance drawn water with power generation, considers the drawing water of water-storage-
Generate electricity transfer efficiency, electric quantity balancing constraint are as follows:
Water-storage maximum is drawn water constraint of the electricity by upper storage reservoir storage capacity, and constraint may be expressed as:
The water pump that draws water of pump-storage generator in existing electric system is constant speed water pump, therefore when unit draws water only
It can not be fluctuated with load by its specified pumping capacity operation, in order to model this operation characteristic of pumped storage unit, be introduced and taken out
It stores unit to draw water state variable, and adds following constraint condition:
Above formula ensure that the power output of drawing water of water-storage is only capable of taking 0 or maximum pumping capacity.
Meanwhile the mutual exclusion constraint of draw water state and the generating state of pump-storage generator is added, it is shown below:
Formula (54) and formula (55) joint are considered, ifThen formula (54) ensures the load variation that draws waterFormula
(55) becomePerseverance is set up；IfThen the fixed load that draws water of formula (54) is rated capacity, and formula (55)
BecomeI.e. all pumped storage unit output power generations are not positive, it may thus be appreciated that above-mentioned two formula not only ensures same
Pumped storage unit draws water the alternative of variable and the variable that generates electricity, while it is existing to also ensure that demodulating do not occur in all pumped storage units of system
As.
Route and section tidal current constraint
Zonal reserve constraint
Multiple areas need to guarantee that booting is that area's internal loading reserves sufficient spare capacity in respective area in power grid, and subregion is standby
It may be expressed as: with constraint
In formula:
Set and subscript:
ΩTHAll fired power generating unit set；
ΩCHPAll thermoelectricity unit set；
ΩGTAll combustion engine set；
ΩHAll Hydropower Unit collection；.
ΩPHSAll pumped storage unit set；
ΩWFAll Wind turbines set；
The total collection of Ω all types unit, Ω={ ΩTH, ΩCHP, ΩGT, ΩH, ΩPHS, ΩWF}；
I, j unit subscript, i, j ∈ Ω；
All period subscripts of t, period sum are T；
L system line label, route sum are L；
S system section label, section sum are S；
The line set that Θ s section s includes；
M system node label, route sum are M；
Z system realm label, region sum are Z；
Variable:
pi,tThe unit i t period arranges power output, and i ∈ Ω is (for pump-storage generator pi,tIt only indicates power generation part, works as machine
P when group is drawn wateri,t=0)；
The load that draws water that the pumped storage unit j t period arranges, value are positive value, j ∈ ΩPHS；
ui,tUnit i t period state variable, 1 indicates booting, and 0 indicates to shut down, i ∈ { ΩTH,ΩCHP,ΩGT,ΩH}；
The pump-storage generator i t period, (1 expression pump-storage generator t period was in state of drawing water；Equal to 0 table
Show the t period in shutdown or generating state), i ∈ ΩPHS；
Unit i t period start-up and shut-down costs；i∈{ΩTH,ΩCHP,ΩGT,ΩH}；
Node m t period cutting load value；
Parameter (known quantity in Optimized model):
Ci() unit i cost of electricity-generating curve, i ∈ Ω；
The positive and negative percentage reserve demand of t period system；
Unit i power output bound, i ∈ Ω；
Consider that the thermoelectricity unit i t period after heat supply contributes bound, i ∈ ΩCHP；
Unit i unit time period maximum rises from power/drop power output, i ∈ { ΩTH,ΩCHP,ΩGT,ΩH}；
The most short booting/downtime of unit i, i ∈ { ΩTH,ΩCHP,ΩGT,ΩH}；
The unit i daily electricity upper limit and lower limit constrain, i ∈ Ω；
λiPumped storage unit i draws water the transfer efficiency that generates electricity, i ∈ ΩCHP；
Unit i single booting cost, i ∈ { ΩTH,ΩCHP,ΩGT,ΩH}；
dm,tNode m t period predicted load；
wj,tThe wind power plant j t period predicts power output；
Route l trend constraint；
gl,mNode m shifts distribution factor for the generator of route l；
gl,i/gl,jUnit i and wind power plant j shifts distribution factor, i ∈ Ω for the generator of route l；
I ∈ z indicates unit i in the z of region, and m ∈ z indicates node m in the z of region, and l ∈ Z+ and l ∈ Z- respectively indicates end
Point and starting point the region z transregional route；Constraining the first row indicates the positive Reserve Constraint of subregion, and it is spare that the second row indicates that subregion is born
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 (4)
1. the electric system of extensive new energy power generation grid-connection simulation method day by day, characterized in that comprise determining that optimization mesh
Mark considers the Unit Combination model of route constraint using day as the management and running of unit simulation system according to the boundary condition of input.
2. the method as described in claim 1, characterized in that objective function is system cost of electricity-generating in the determining optimization aim
And system start-up and shut-down costs are minimum:
3. method according to claim 2, characterized in that the boundary condition of the input include system loading predictive information,
Interconnection is sent by electric plan, power source planning information, unit running technology parameter, Electric Power Network Planning information, route and section parameter, wind
Electric field planning information and default operating parameter.
4. method as claimed in claim 3, characterized in that the constraint condition of the Unit Combination model for considering route constraint
Include:
Account load balancing constraints:
The positive and negative spare capacity constraint of system:
Each unit output of system and its startup-shutdown state relation constrain:
New energy units limits:
0≤pj,t≤wj,t, t=1,2 ..., T, j ∈ ΩWF；
Unit ramp loss:
While this constrains in adjacent two periods power output creep speed when guaranteeing unit booting, guarantee the first period after unit booting
Power output and shutdown before the last one period power output be unit minimum load,
Unit minimum startup-shutdown time-constrain:
Unit booting cost constraint:
The constraint of unit daily electricity:
Pump-storage generator operation constraint:
The power output of pump-storage generator in a few days needs to meet the balance drawn water with power generation, considers drawing water-generating electricity for water-storage
Transfer efficiency, electric quantity balancing constraint are as follows:
Water-storage maximum is drawn water constraint of the electricity by upper storage reservoir storage capacity, and constraint may be expressed as:
It introduces pumped storage unit to draw water state variable, and adds following constraint condition:
The mutual exclusion constraint of draw water state and the generating state of addition pump-storage generator, is shown below:
Route and section tidal current constraint:
Zonal reserve constraint
Multiple areas need to guarantee that booting is that area's internal loading reserves sufficient spare capacity in respective area in power grid, and zonal reserve is about
Beam may be expressed as:
In formula: set and subscript:
ΩTHAll fired power generating unit set；
ΩCHPAll thermoelectricity unit set；
ΩGTAll combustion engine set；
ΩHAll Hydropower Unit collection；.
ΩPHSAll pumped storage unit set；
ΩWFAll Wind turbines set；
The total collection of Ω all types unit, Ω={ ΩTH, ΩCHP, ΩGT, ΩH, ΩPHS, ΩWF}；
I, j unit subscript, i, j ∈ Ω；
All period subscripts of t, period sum are T；
L system line label, route sum are L；
S system section label, section sum are S；
The line set that Θ s section s includes；
M system node label, route sum are M；
Z system realm label, region sum are Z；
Variable:
pi,tThe unit i t period arranges power output, i ∈ Ω, for pump-storage generator, pi,tPower generation part is only indicated, when unit is taken out
When water, pi,t=0；
The load that draws water that the pumped storage unit j t period arranges, value are positive value, j ∈ ΩPHS；
ui,tUnit i t period state variable, 1 indicates booting, and 0 indicates to shut down, i ∈ { ΩTH,ΩCHP,ΩGT,ΩH}；
Pump-storage generator i t period, 1 expression pump-storage generator t period are in state of drawing water；T is indicated equal to 0
Period is in shutdown or generating state, i ∈ ΩPHS；
Unit i t period start-up and shut-down costs；i∈{ΩTH,ΩCHP,ΩGT,ΩH}；
Node m t period cutting load value；
Parameter:
Ci() unit i cost of electricity-generating curve, i ∈ Ω；
The positive and negative percentage reserve demand of t period system；
Unit i power output bound, i ∈ Ω；
Consider that the thermoelectricity unit i t period after heat supply contributes bound, i ∈ ΩCHP；
Unit i unit time period maximum rises from power/drop power output, i ∈ { ΩTH,ΩCHP,ΩGT,ΩH}；
The most short booting/downtime of unit i, i ∈ { ΩTH,ΩCHP,ΩGT,ΩH}；
The unit i daily electricity upper limit and lower limit constrain, i ∈ Ω；
λiPumped storage unit i draws water the transfer efficiency that generates electricity, i ∈ ΩCHP；
Unit i single booting cost, i ∈ { ΩTH,ΩCHP,ΩGT,ΩH}；
dm,tNode m t period predicted load；
wj,tThe wind power plant j t period predicts power output；
Route l trend constraint；
gl,mNode m shifts distribution factor for the generator of route l；
gl,i/gl,jUnit i and wind power plant j shifts distribution factor, i ∈ Ω for the generator of route l；
I ∈ z indicate unit i in the z of region, m ∈ z indicate node m in the z of region, l ∈ Z+ and l ∈ Z- respectively indicate terminal with
And starting point is in the transregional route in the region z；Constrain the first row indicate the positive Reserve Constraint of subregion, the second row indicate subregion bear it is spare about
Beam.
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| CN111415041A (en) * | 2020-03-20 | 2020-07-14 | 海南电网有限责任公司 | Method for evaluating economy of power grid planning scheme |
| CN114050611A (en) * | 2022-01-12 | 2022-02-15 | 清华四川能源互联网研究院 | Operation scheduling linearization modeling method suitable for pumped storage power station with multiple units |
| CN117293927A (en) * | 2023-11-24 | 2023-12-26 | 中国电建集团贵阳勘测设计研究院有限公司 | Extraction and storage working capacity determining method based on reliable electric quantity support |
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