CN110334878A - A kind of photo-thermal energy-accumulating power station generated energy optimization method based on typical static model - Google Patents
A kind of photo-thermal energy-accumulating power station generated energy optimization method based on typical static model Download PDFInfo
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Abstract
A kind of photo-thermal power station generated energy optimization method based on static models first analyzes the controllable part that power station generated energy is influenced in static models；Secondly objective function is up to generated energy, the constraint condition of static models establishes optimized mathematical model, proposes a kind of optimization method；Finally, Smith predictive compensation mechanism is introduced, to reduce influence of the large time delay link occurred in control system to system stability and accuracy.This optimization method can effectively promote the generated energy and operational efficiency of photo-thermal energy-accumulating power station.
Description
Technical field
The present invention relates to the generated energy optimization methods based on photo-thermal energy-accumulating power station static models.
Background technique
In recent years, photo-thermal energy storing and electricity generating (Concentrating Solar Power, CSP) mode can be quick by feat of it
Adjust the advantage of power output, it has also become solve the important generation mode of generation of electricity by new energy and power network fluctuation and randomness.Existing pass
Mainly there is improvement heat-storage medium in the mode for promoting photo-thermal energy-accumulating power station generated energy, optimize heat accumulation mode and is moved based on thermodynamics
The control method of states model, but above method is not all suitable for the optimization in photo-thermal energy-accumulating power station long time scale.Wherein, it is based on
The amount for needing to detect in the control method of thermodynamics dynamic model is excessive, and the environment of detecting element work is more severe, is not suitable for
In long-term work.
The present invention is on the basis of the typical static model of the power station CSP, by the side for optimizing heat reservoir charge and discharge thermal energy stream
Formula, and combine Smith predictive compensation mechanism to eliminate influence of the large time delay link to control system, CSP electricity is promoted to reach
The purpose for generated energy and the operational efficiency of standing.
Summary of the invention
In order to realize the maximum optimization operation of the power station CSP generated energy, the present invention provides a kind of based on typical static model
The power station CSP generated energy optimization method, mainly comprises the steps that
Step 1: the typical static model and operational mode in the power station comprehensive analysis CSP, obtaining can be deposited by optimizing thermal energy
Thermal power P is filled in storage subsystem (Thermal Storage Subsystem, TSS)t S-TWith heat release power Pt T-PMethod, reach
Optimize the purpose of the power station CSP generated energy.Introducing is filled after thermal power factor alpha ∈ [0,1] and heat release power coefficient β ∈ [0,1]
Charge and discharge thermal energy stream can indicate are as follows:
In formula, Pt solarEnergy is collected into for light and heat collection subsystem (Solar Field Subsystem, SFS) t moment
Power；ΔPfLoss when for energy transmission；Pt S-PIt is SFS to steam turbine power generation subsystem (Powerblock
Subsystem, PS) power of energy is provided；The power of energy is provided to TSS for SFS, that is, fills thermal power；The power of energy, i.e. heat release power are provided to PS for TSS；γ ∈ { 0,1 } is the state variable of PS work；ut
Start the quantity of Turbo-generator Set for t moment；PSUFor least energy needed for starting Turbo-generator Set.
Step 2: using the power station CSP generated energy maximum as the objective function of optimization, in the timing of energy one for being input to system,
By optimizing the charge and discharge thermal control strategy of TSS, the generated energy in power station is made to reach maximum.Corresponding optimization constraint condition is to introduce control
The static energy fluxion model in the power station CSP of variable α and β processed.
Step 3: on the basis of above-mentioned optimized mathematical model, the main method of optimisation strategy is: by detecting each subsystem
Unite itself energy stream and each subsystem between energy stream, corresponding specific optimal way is obtained, to improve the power station CSP
Generated energy and whole operational efficiency.
To guarantee that the power station CSP remains to issue electric energy in the case where the direct radiation intensity of illumination (DNI) continues lower weather condition,
This optimisation strategy does following setting: continuingUnder the conditions of, if TSS fills heat extremelyWhen, start PS,
The energy met the requirements is provided to PS jointly from TSS and SFS.Specific optimisation strategy block diagram is as shown in Figure 1.
Step 4: in this optimisation strategy, filling the core concept of thermal power Optimal Control Strategy are as follows: enableMake
It for given value, is adjusted by feedback regulator to thermal power factor alpha is filled, the energy being collected by SFS is made all to be sent into TSS
TSS storage is sent into after least energy needed for storage, or removing PS, all to reduce the waste to energy.For control process
The long time delay link of middle generation introduces Smith predictive compensation device, to mitigate the influence to control system.Specifically fill thermal power
Control strategy block diagram is as shown in Figure 2.
Step 5: in this optimisation strategy, the core concept of heat release power optimization control strategy are as follows: enableAs
Given value is adjusted heat release power coefficient β by feedback regulator, and TSS and SFS is made to meet normal work to PS offer jointly
The energy being required, to guarantee the normal work in the power station CSP.For the long time delay link generated in control process, Smith is introduced
Predictive compensation device, to mitigate the influence to control system.Specific heat release power control strategy block diagram is as shown in Figure 3.
The invention has the beneficial effects that: a kind of power station CSP generated energy Optimized model based on static models is proposed, is solved
The problems such as detecting element working environment in dynamic optimization strategy of having determined is harsh.Meanwhile the optimisation strategy based on static models can be with
A kind of method is provided for the Optimized Operation after CSP electric station grid connection from now on.Secondly, being solved big using Smith predictive compensation device
Influence of the Time Delay to control system.
Detailed description of the invention
Fig. 1 is optimisation strategy flow diagram, and Fig. 2 is to fill thermal control strategy block diagram, and Fig. 3 is heat release control strategy block diagram.
Specific embodiment
The present invention is a kind of generated energy largest optimization method based on the power station CSP static models.As shown in Figure 1, can lead to
The charge and discharge thermal control strategy of TSS inside the optimization power station CSP is crossed, to achieve the purpose that promote CSP generated energy and overall operation efficiency.
For large time delay link present in control process, it is compensated by using Smith predictive compensation device, specific inventive step are as follows:
Step 1: the typical static model and operational mode in the power station comprehensive analysis CSP, obtaining can be deposited by optimizing thermal energy
Thermal power P is filled in storage subsystem (Thermal Storage Subsystem, TSS)t S-TWith heat release power Pt T-PMethod, reach
Optimize the purpose of the power station CSP generated energy.Introducing is filled after thermal power factor alpha ∈ [0,1] and heat release power coefficient β ∈ [0,1]
Charge and discharge thermal energy stream can indicate are as follows:
In formula, Pt solarEnergy is collected into for light and heat collection subsystem (Solar Field Subsystem, SFS) t moment
Power；ΔPfLoss when for energy transmission；Pt S-PIt is SFS to steam turbine power generation subsystem (Powerblock
Subsystem, PS) power of energy is provided；The power of energy is provided to TSS for SFS, that is, fills thermal power；The power of energy, i.e. heat release power are provided to PS for TSS；γ ∈ { 0,1 } is the state variable of PS work；ut
Start the quantity of Turbo-generator Set for t moment；PSUFor least energy needed for starting Turbo-generator Set.
Step 2: using the power station CSP generated energy maximum as the objective function of optimization, in the timing of energy one for being input to system,
By optimizing the charge and discharge thermal control strategy of TSS, the generated energy in power station is set to reach maximum, then corresponding objective function are as follows:
max etT (formula five)
In formula, etFor the electromotive power output in the power station t moment CSP；T is the power generation duration in the power station CSP.
Corresponding optimization constraint condition is the static energy fluxion model for introducing the power station CSP of control variable α and β.
Step 3: on the basis of above-mentioned optimized mathematical model, the main method of optimisation strategy is: by detecting each subsystem
Unite itself energy stream and each subsystem between energy stream, corresponding specific optimal way is obtained, to improve the power station CSP
Generated energy and whole operational efficiency.Specific manifestation are as follows: 1. when sunlight is inadequate, and PS stops working, be collected by SFS
Energy is all stored into TSS；When PS just at work, the energy for meeting job requirement is provided to PS jointly from TSS and SFS；
2. the unserviceable excess energy of PS is all stored into TSS as far as possible when sunny；3. when without sunlight, to protect
The normal work of CSP system is demonstrate,proved, TSS carries out heat release with maximum power, the energy met the requirements is provided for PS.
To guarantee that the power station CSP remains to issue electric energy in the case where the direct radiation intensity of illumination (DNI) continues lower weather condition,
This optimisation strategy does following setting: continuingUnder the conditions of, if TSS fills heat extremelyWhen, start PS,
The energy met the requirements is provided to PS jointly from TSS and SFS.Specific optimisation strategy block diagram is as shown in Figure 1.
Step 4: in this optimisation strategy, filling the core concept of thermal power Optimal Control Strategy are as follows: enableMake
It for given value, is adjusted by feedback regulator to thermal power factor alpha is filled, the energy being collected by SFS is made all to be sent into TSS
TSS storage is sent into after least energy needed for storage, or removing PS, all to reduce the waste to energy.To filling thermal energy stream
Further analysis, has:
It can solve:
Linear function about time t is transformed into frequency domain, is had:
Therefore it is positively correlated it follows that filling thermal power factor alpha with Main change amount (DNI).For being generated in control process
Long time delay link, Smith predictive compensation device is introduced, to mitigate influence to control system.In addition, it is contemplated that overcome system compared with
The purpose of big inertia and elimination deviation, PID regulator is used to realize control target.Thermal control strategy block diagram is specifically filled as schemed
Shown in 2.
Step 5: in this optimisation strategy, the core concept of heat release power optimization control strategy are as follows: enableAs
Given value is adjusted heat release power coefficient β by feedback regulator, and TSS and SFS is made to meet normal work to PS offer jointly
The energy being required, to guarantee the normal work in the power station CSP.Exothermic energy stream is further analyzed, is had:
Because CSP electricity generation system, which is in, to be operated normally, therefore the Δ P in (formula four) when TSS is in heat release statefIt can
Approximation is ignored, and γ=1, ut=0, Pt solar≈Pt S-P, (formula four), which is brought into above formula, at this time to solve:
Above formula is similarly transformed into frequency domain.Have:
It follows that heat release power coefficient β and Main change amount (DNI) are negatively correlated.Likewise, in control process
The long time delay link of generation introduces Smith predictive compensation device, to mitigate the influence to control system.In addition, it is contemplated that overcoming and being
The purpose of larger inertia and elimination deviation of uniting, PID regulator is used to realize control target.Specific heat release control strategy block diagram
As shown in Figure 3.
It is one of implementation method of the invention above, for general technology person in the art, is not spending creation
Property labour in the case where, a variety of variations can be carried out to above-described embodiment, equally can be realized the purpose of the present invention.But it is very bright
Aobvious, this variation should be included in the protection scope of claims of the present invention.
Claims (1)
1. a kind of photo-thermal energy-accumulating power station generated energy optimization method based on typical static model, which is characterized in that the steps include:
Step 1: the typical static model and operational mode in the power station comprehensive analysis CSP, obtaining can be by optimization thermal energy storage
System fills thermal power Pt S-TWith heat release power Pt T-PMethod, achieve the purpose that optimize the power station CSP generated energy；Hot merit is filled in introducing
Charge and discharge thermal energy stream after rate coefficient α ∈ [0,1] and heat release power coefficient β ∈ [0,1] can indicate are as follows:
In formula, Pt solarThe power of energy is collected into for light and heat collection subsystem t moment；
ΔPfLoss when for energy transmission；
Pt S-PThe power of energy is provided to steam turbine power generation subsystem for SFS；
The power of energy is provided to TSS for SFS, that is, fills thermal power；
The power of energy, i.e. heat release power are provided to PS for TSS；
γ ∈ { 0,1 } is the state variable of PS work；
utStart the quantity of Turbo-generator Set for t moment；
PSUFor least energy needed for starting Turbo-generator Set；
Step 2: passing through using the power station CSP generated energy maximum as the objective function of optimization in one timing of energy for being input to system
The charge and discharge heat control method for optimizing TSS makes the generated energy in power station reach maximum；Corresponding optimization constraint condition is to introduce control to become
Measure the static energy fluxion model in the power station CSP of α and β；
Step 3: on the basis of above-mentioned Optimized model, the realization means of optimization method are: by detecting each subsystem itself
Energy stream between energy stream and each subsystem obtains corresponding specific control mode, with improve the generated energy in the power station CSP with
Whole operational efficiency；To guarantee that the power station CSP continues to remain to send out under lower weather condition in the direct radiation intensity-DNI of illumination
Electric energy out, this optimization method do following setting:
ContinuingUnder the conditions of, if TSS fills heat extremelyWhen, start PS, from TSS and SFS jointly to PS
The energy met the requirements is provided；
Step 4: in this optimization method, filling the realization means of thermal power optimal control method are as follows: enableAs giving
Definite value is adjusted by feedback regulator to thermal power factor alpha is filled, and so that the energy being collected by SFS is all sent into TSS and is deposited
TSS storage is sent into after least energy needed for storage, or removing PS, all to reduce the waste to energy；
Step 5: in this optimization method, the realization means of heat release power optimization control method are as follows: enableAs given
Value, is adjusted heat release power coefficient β by feedback regulator, so that TSS and SFS is provided satisfaction normal work to PS jointly and wants
The energy asked, to guarantee the normal work in the power station CSP；For the long time delay link generated in control process, introduces Smith and estimate
Compensator is compensated by.
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