CN109086943A - Wind-powered electricity generation photo-thermal power station association system capacity optimization method based on wind light mutual complementing characteristic - Google Patents
Wind-powered electricity generation photo-thermal power station association system capacity optimization method based on wind light mutual complementing characteristic Download PDFInfo
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Abstract
A kind of wind-powered electricity generation photo-thermal power station association system capacity optimization method based on wind light mutual complementing characteristic.It includes acquisition data；The power producing characteristics of wind-powered electricity generation photo-thermal power station combined generating system are analyzed；It determines evaluation index, establishes wind-powered electricity generation photo-thermal power station combined generating system capacity Optimized model, and set operation constraint condition；Solve wind-powered electricity generation photo-thermal power station combined generating system capacity Optimized model, obtain system economy it is optimal when photo-thermal power station capacity configuration situation.The method of the present invention has comprehensively considered the factors such as the grid-connected power swing of combined generating system, system power supply reliability to consider that economy is big excellent for optimization aim after photo-thermal power station cost of electricity-generating.The present invention has fully considered that photo-thermal power station power output to the control characteristic of wind power output, alleviates the influence that wind electricity volatility generates power grid, can effectively facilitate the consumption of wind energy and solar energy.
Description
Technical field
The invention belongs to wind-powered electricity generation photo-thermal power station combined generating system technical fields, are related specifically to a kind of based on wind light mutual complementing
The wind-powered electricity generation photo-thermal power station association system capacity optimization method of characteristic.
Background technique
Photo-thermal power generation technology be it is a kind of using heat collector by solar energy collecting, heating working medium, thus drive steamer hair
The technology of electric power generation.In view of the unstability and intermittence of solar energy, photo-thermal power station can generally configure heat reservoir
(thermal energy storage, TES) stablizes supply guarantee electric energy, therefore compared with photovoltaic power generation technology, photo-thermal hair
Electricity possesses the control characteristic similar with conventional power units such as thermoelectricitys, can effectively facilitate new energy consumption, is to realize new energy at high proportion
Grid-connected one of the important technology in source.But it not yet finds based on the wind-powered electricity generation photo-thermal power station association system capacity for stabilizing wind-powered electricity generation fluctuation at present
Optimization method.
Summary of the invention
To solve the above-mentioned problems, the purpose of the present invention is to provide a kind of, and the wind-powered electricity generation photo-thermal based on wind light mutual complementing characteristic is electric
It stands association system capacity optimization method.
In order to achieve the above object, the wind-powered electricity generation photo-thermal power station association system provided by the invention based on wind light mutual complementing characteristic holds
Measuring optimization method includes the following steps carried out in order:
Annual 8760 hours solar radiations, wind speed and Wind turbines installed capacity numbers in step 1, acquisition planning region
According to, load data；
Step 2 is divided using power producing characteristics of the data obtained in step 1 to wind-powered electricity generation photo-thermal power station combined generating system
Analysis；
Step 3 determines evaluation index, and it is excellent that wind-powered electricity generation photo-thermal power station combined generating system capacity is established on the basis of step 2
Change model, and sets operation constraint condition；
Step 4, when meeting the constraint condition of step 3 setting, in conjunction with the data that step 1 obtains, consideration system sold
Electric income, photo-thermal power station power generation subsidy and photo-thermal power station cost of electricity-generating, it is excellent to solve wind-powered electricity generation photo-thermal power station combined generating system capacity
Change model, obtain system economy it is optimal when photo-thermal power station capacity configuration situation.
In step 2, it is described using the data obtained in step 1 to the power output of wind-powered electricity generation photo-thermal power station combined generating system
The method that characteristic is analyzed is as follows:
The analysis of 2.1 Wind turbines power producing characteristics
The power output of Wind turbines determines by the output characteristics of mean wind speed and blower at fan shaft height, t moment
Output power be shown below:
In formula, PWIt (t) is the output power of t moment Wind turbines, PRFor Wind turbines rated power, v (t) is t moment wind
Speed, vcFor Wind turbines threshold wind velocity, vRFor Wind turbines rated wind speed, vFWind speed is truncated for Wind turbines.
The analysis of 2.2 photo-thermal power station power producing characteristics
Typical photo-thermal power station mainly include the light and heat collection system being arranged in heat collecting field, heat exchange with hold over system,
Driven power generation system and auxiliary energy system；Wherein it is thermally conductive to heat to receive solar radiant energy for the light and heat collection system in heat collecting field
Solar radiant energy is converted to thermal energy by fluid；The thermal power that hold over system is received from heat collecting field are as follows:
QSF(t)=ηSFAI(t) (2)
In formula, QSFIt (t) is t moment hold over system from the received thermal power of heat collecting field；A is thermal-arrest scene in photo-thermal power station
Product；I (t) is t moment normal direction direct projection irradiation level；ηSFFor photothermal conversion efficiency；Photo-thermal power station t moment output power such as following formula institute
Show:
PCSP(t)=(QSF(t)+QTES_D(t)ηTES_D-QCSP_C(t)-Qcurt(t))ηCSP (3)
In formula, PCSPIt (t) is photo-thermal power station t moment output power, QTES_D(t) it is put for hold over system t moment in photo-thermal power station
Thermal power, ηTES_DFor hold over system exothermal efficiency, Q in photo-thermal power stationCSP_CIt (t) is hold over system t moment accumulation of heat in photo-thermal power station
Power, Qcurt(t) thermal power, η are abandoned for t momentCSPFor the conversion efficiency of thermoelectric of photo-thermal power station.
In step 3, the determination evaluation index establishes wind-powered electricity generation photo-thermal power station cogeneration on the basis of step 2
Power system capacity Optimized model, and the method for setting operation constraint condition is as follows:
3.1 determine evaluation index
A) combined generating system networking power swing
The fluctuation of networking power is characterized using networking power swing rate, networking power swing rate is defined as:
Pnet(t)=PCSP(t)+PW(t) (5)
In formula, Pnet(t0) it is t0Moment grid-connected power, PCSPIt (t) is photo-thermal power station t moment output power, PWIt (t) is wind-powered electricity generation
Unit t moment output power；
B) combined generating system power supply reliability
Using the power supply reliability of load short of electricity rate characterization combined generating system, load short of electricity rate is defined as:
In formula, PLIt (t) is t moment load power；
C) photo-thermal power station equalization degree electricity cost
Equalization degree electricity is introduced into the economy of original evaluation photo-thermal power station, indicates photo-thermal power station in construction period and operation phase
The overall cost of interior unit generated energy, is defined as:
In formula, N is the operation time limit of photo-thermal power station；CInvIt (T) is photo-thermal power station in T gross investment；CO&MIt (T) is photo-thermal
Power station T operation expense；CfuelIt (T) is photo-thermal power station T fuel afterburning cost；ECSP(T) it generates electricity only for T
Amount；R is discount rate；
D) combined generating system sale of electricity income
Combined generating system sale of electricity income is that the electric energy of combined generating system production sells to power grid income obtained, is defined
Are as follows:
In formula, k1For combined generating system sale of electricity electricity price；
E) photo-thermal power station power generation subsidy
For promotion photo-thermal power station development, give photo-thermal power station power generation certain subsidy, is defined as:
In formula, k2For photo-thermal power station power generation subsidized price；
3.2 setting objective functions
Wind turbines installed capacity is considered it is known that meeting the workload demand i.e. premise of combined generating system operation constraint
Under, the capacity of photo-thermal power station is analyzed, following formula sets up wind-powered electricity generation photo-thermal power station combined generating system capacity as objective function
Optimized model:
3.3 setting operation constraint conditions
A) networking power swing constrains: networking power swing is characterized with networking power swing rate, and networking power swing rate needs
Within limits, it is shown below:
d(t)≤ε (11)
In formula, ε is the power swing that combined generating system allows；
B) power supply reliability constrains: system power supply reliability is characterized with load short of electricity rate, and load short of electricity rate need to be in certain model
Within enclosing, it is shown below::
f≤λL (12)
In formula, λLThe short of electricity rate allowed for load；
C) Wind turbines units limits: Wind turbines need to be within the scope of its power output, such as following formula institute in the power output of t moment
Show:
PW_min≤PW(t)≤PW_max (13)
In formula, PW_min、PW_maxFor the output power bound of Wind turbines.
D) photo-thermal power station operation constraint
Output power size constraint: photo-thermal power station need to be shown below in the power output of t moment within the scope of its power output:
In formula,For the output power bound of photo-thermal power station.
The constraint of hold over system heating power balance: there are heat loss in heat storing process for hold over system, are shown below:
ETES(t)=(1- γTES)ETES(t-1)+QTES_C(t)ηTES_C-QTES_D(t) (15)
In formula, ETES(t) heat, γ are stored for hold over system t momentTESFor hold over system heat dissipation coefficient, ηTES_CTo store
Hot systems exothermal efficiency；
Hold over system capacity-constrained: hold over system stores capacity limit of the heat no more than hold over system t moment,
It is shown below:
In formula,For hold over system capacity bound.
Hold over system stores heat release power constraint: hold over system need to be in its power model in the accumulation of heat of t moment, heat release watt level
Within enclosing, it is shown below:
In formula,For the hold over system accumulation of heat upper limit of the power,For the hold over system heat release upper limit of the power.
Hold over system store heat release state constraint: hold over system cannot simultaneously accumulation of heat and heat release, be shown below:
xTES_C(t)+xTES_D(t)≤1 (19)
xCSP(t)≥xTES_D(t) (20)
In formula, xTES_C(t) it is 0,1 state variable, indicates hold over system accumulation of heat when value 1, when value 0 indicates hold over system
Not accumulation of heat；xTES_D(t) it is 0,1 state variable, indicates hold over system heat release when value 1, when value 0 indicates that hold over system is not put
Heat.
In step 4, it is described in the case that meet step 3 setting constraint condition, in conjunction with step 1 obtain data,
Consideration system sale of electricity income, photo-thermal power station power generation subsidy and photo-thermal power station cost of electricity-generating, solve wind-powered electricity generation photo-thermal power station cogeneration
Power system capacity Optimized model, obtain system economy it is optimal when photo-thermal power station capacity configuration situation method it is as follows:
4.1 according to annual 8760 hours air speed datas, Wind turbines installed capacity in the planning region of step 1 acquisition, benefit
The output power P of Wind turbines is calculated with formula (1)W(t)；
4.2 according to the output power P of Wind turbinesW(t), the load data P that step 1 acquiresL(t), convolution (2)-(3)
Shown in photo-thermal power station power producing characteristics, calculate when meeting constraint condition shown in formula (11)-(20) photo-thermal power station it is feasible
Capacity configuration and its corresponding output power PCSP(t)；
4.3 are directed to each feasible photo-thermal power station capacity and corresponding output power, calculate photo-thermal electricity using formula (7)
The equalization degree electricity cost C to standLCOE, combined generating system sale of electricity income C is calculated using formula (8)S, light is calculated using formula (9)
Thermo-power station power generation subsidy CA；
Step 4.4, according to the above-mentioned photo-thermal power station output power P being calculatedCSP(t), photo-thermal power station equalization degree electricity at
This CLCOE, combined generating system sale of electricity income CSIt generates electricity with photo-thermal power station and subsidizes CA, objective function shown in convolution (10), meter
It calculates in the case where meeting constraint condition, the target function value of each configuring condition, and target function value is taken to take maximum case
Under, i.e., photo-thermal power station capacity configuration when system economy is optimal is final result.
Wind-powered electricity generation photo-thermal power station association system capacity optimization method provided by the invention based on wind light mutual complementing characteristic, to consider
After photo-thermal power station cost of electricity-generating economy it is big it is excellent be optimization aim, and comprehensively considered the grid-connected power swing of combined generating system,
The factors such as system power supply reliability.The present invention has fully considered that photo-thermal power station power output to the control characteristic of wind power output, alleviates
The influence that wind electricity volatility generates power grid can effectively facilitate the consumption of wind energy and solar energy.
Detailed description of the invention
Fig. 1 is the wind-powered electricity generation photo-thermal power station association system capacity optimization method institute provided by the invention based on wind light mutual complementing characteristic
The photo-thermal power station schematic diagram of application.
Specific embodiment
In the following with reference to the drawings and specific embodiments to the wind-powered electricity generation photo-thermal power station provided by the invention based on wind light mutual complementing characteristic
Association system capacity optimization method is described in detail.
Wind-powered electricity generation photo-thermal power station association system capacity optimization method provided by the invention based on wind light mutual complementing characteristic includes pressing
The following steps that sequence carries out:
Annual 8760 hours solar radiations, wind speed and Wind turbines installed capacity numbers in step 1, acquisition planning region
According to, load data；
Step 2 is divided using power producing characteristics of the data obtained in step 1 to wind-powered electricity generation photo-thermal power station combined generating system
Analysis；
The analysis of 2.1 Wind turbines power producing characteristics.
The power output of Wind turbines determines by the output characteristics of mean wind speed and blower at fan shaft height, t moment
Output power be shown below:
In formula, PWIt (t) is the output power of t moment Wind turbines, PRFor Wind turbines rated power, v (t) is t moment wind
Speed, vcFor Wind turbines threshold wind velocity, vRFor Wind turbines rated wind speed, vFWind speed is truncated for Wind turbines.
The analysis of 2.2 photo-thermal power station power producing characteristics
Typical photo-thermal power station structure is as shown in Figure 1, it mainly includes the light and heat collection system being arranged in heat collecting field, heat
Exchange and hold over system, driven power generation system and auxiliary energy system.Wherein the light and heat collection system in heat collecting field receives the sun
Radiation energy heats heat-conducting fluid, and solar radiant energy is converted to thermal energy.The thermal power that hold over system is received from heat collecting field are as follows:
QSF(t)=ηSFAI(t) (2)
In formula, QSFIt (t) is t moment hold over system from the received thermal power of heat collecting field；A is thermal-arrest scene in photo-thermal power station
Product；I (t) is t moment normal direction direct projection irradiation level；ηSFFor photothermal conversion efficiency.Photo-thermal power station t moment output power such as following formula institute
Show:
PCSP(t)=(QSF(t)+QTES_D(t)ηTES_D-QCSP_C(t)-Qcurt(t))ηCSP (3)
In formula, PCSPIt (t) is photo-thermal power station t moment output power, QTES_D(t) it is put for hold over system t moment in photo-thermal power station
Thermal power, ηTES_DFor hold over system exothermal efficiency, Q in photo-thermal power stationCSP_CIt (t) is hold over system t moment accumulation of heat in photo-thermal power station
Power, Qcurt(t) thermal power, η are abandoned for t momentCSPFor the conversion efficiency of thermoelectric of photo-thermal power station.
Step 3 determines evaluation index, and it is excellent that wind-powered electricity generation photo-thermal power station combined generating system capacity is established on the basis of step 2
Change model, and sets operation constraint condition；
3.1 determine evaluation index
A) combined generating system networking power swing
The fluctuation of networking power is characterized using networking power swing rate, networking power swing rate is defined as:
Pnet(t)=PCSP(t)+PW(t) (5)
In formula, Pnet(t0) it is t0Moment grid-connected power, PCSPIt (t) is photo-thermal power station t moment output power, PWIt (t) is wind-powered electricity generation
Unit t moment output power.
B) combined generating system power supply reliability
Using the power supply reliability of load short of electricity rate characterization combined generating system, load short of electricity rate is defined as:
In formula, PLIt (t) is t moment load power.
C) photo-thermal power station equalization degree electricity cost
Equalization degree electricity is introduced into the economy of original evaluation photo-thermal power station, indicates photo-thermal power station in construction period and operation phase
The overall cost of interior unit generated energy, is defined as:
In formula, N is the operation time limit of photo-thermal power station；CInvIt (T) is photo-thermal power station in T gross investment；CO&MIt (T) is photo-thermal
Power station T operation expense；CfuelIt (T) is photo-thermal power station T fuel afterburning cost；ECSP(T) it generates electricity only for T
Amount；R is discount rate.
D) combined generating system sale of electricity income
Combined generating system sale of electricity income is that the electric energy of combined generating system production sells to power grid income obtained, is defined
Are as follows:
In formula, k1For combined generating system sale of electricity electricity price.
E) photo-thermal power station power generation subsidy
For promotion photo-thermal power station development, give photo-thermal power station power generation certain subsidy, is defined as:
In formula, k2For photo-thermal power station power generation subsidized price.
3.2 setting objective functions
Wind turbines installed capacity is considered it is known that meeting the workload demand i.e. premise of combined generating system operation constraint
Under, the capacity of photo-thermal power station is analyzed, following formula sets up wind-powered electricity generation photo-thermal power station combined generating system capacity as objective function
Optimized model:
3.3 setting operation constraint conditions
A) networking power swing constrains: networking power swing is characterized with networking power swing rate, and networking power swing rate needs
Within limits, it is shown below:
d(t)≤ε (11)
In formula, ε is the power swing that combined generating system allows.
B) power supply reliability constrains: system power supply reliability is characterized with load short of electricity rate, and load short of electricity rate need to be in certain model
Within enclosing, it is shown below::
f≤λL (12)
In formula, λLThe short of electricity rate allowed for load.
C) Wind turbines units limits: Wind turbines need to be within the scope of its power output, such as following formula institute in the power output of t moment
Show:
PW_min≤PW(t)≤PW_max (13)
In formula, PW_min、PW_maxFor the output power bound of Wind turbines.
D) photo-thermal power station operation constraint
Output power size constraint: photo-thermal power station need to be shown below in the power output of t moment within the scope of its power output:
In formula,For the output power bound of photo-thermal power station.
The constraint of hold over system heating power balance: there are heat loss in heat storing process for hold over system, are shown below:
ETES(t)=(1- γTES)ETES(t-1)+QTES_C(t)ηTES_C-QTES_D(t) (15)
In formula, ETES(t) heat, γ are stored for hold over system t momentTESFor hold over system heat dissipation coefficient, ηTES_CTo store
Hot systems exothermal efficiency.
Hold over system capacity-constrained: hold over system stores capacity limit of the heat no more than hold over system t moment,
It is shown below:
In formula,For hold over system capacity bound.
Hold over system stores heat release power constraint: hold over system need to be in its power model in the accumulation of heat of t moment, heat release watt level
Within enclosing, it is shown below:
In formula,For the hold over system accumulation of heat upper limit of the power,For the hold over system heat release upper limit of the power.
Hold over system store heat release state constraint: hold over system cannot simultaneously accumulation of heat and heat release, be shown below:
xTES_C(t)+xTES_D(t)≤1 (19)
xCSP(t)≥xTES_D(t) (20)
In formula, xTES_C(t) it is 0,1 state variable, indicates hold over system accumulation of heat when value 1, when value 0 indicates hold over system
Not accumulation of heat；xTES_D(t) it is 0,1 state variable, indicates hold over system heat release when value 1, when value 0 indicates that hold over system is not put
Heat.
Step 4, when meeting the constraint condition of step 3 setting, in conjunction with the data that step 1 obtains, consideration system sold
Electric income, photo-thermal power station power generation subsidy and photo-thermal power station cost of electricity-generating, it is excellent to solve wind-powered electricity generation photo-thermal power station combined generating system capacity
Change model, obtain system economy it is optimal when photo-thermal power station capacity configuration situation.
4.1 according to annual 8760 hours air speed datas, Wind turbines installed capacity in the planning region of step 1 acquisition, benefit
The output power P of Wind turbines is calculated with formula (1)W(t)；
4.2 according to the output power P of Wind turbinesW(t), the load data P that step 1 acquiresL(t), convolution (2)-(3)
Shown in photo-thermal power station power producing characteristics, calculate when meeting constraint condition shown in formula (11)-(20) photo-thermal power station it is feasible
Capacity configuration and its corresponding output power PCSP(t)；
4.3 are directed to each feasible photo-thermal power station capacity and corresponding output power, calculate photo-thermal electricity using formula (7)
The equalization degree electricity cost C to standLCOE, combined generating system sale of electricity income C is calculated using formula (8)S, light is calculated using formula (9)
Thermo-power station power generation subsidy CA；
Step 4.4, according to the above-mentioned photo-thermal power station output power P being calculatedCSP(t), photo-thermal power station equalization degree electricity at
This CLCOE, combined generating system sale of electricity income CSIt generates electricity with photo-thermal power station and subsidizes CA, objective function shown in convolution (10), meter
It calculates in the case where meeting constraint condition, the target function value of each configuring condition, and target function value is taken to take maximum case
Under, i.e., photo-thermal power station capacity configuration when system economy is optimal is final result.
Claims (4)
1. a kind of wind-powered electricity generation photo-thermal power station association system capacity optimization method based on wind light mutual complementing characteristic, it is characterised in that: described
Capacity optimization method include the following steps carried out in order:
Step 1 acquires annual 8760 hours solar radiations, wind speed and Wind turbines installed capacity data in planning region, is negative
Lotus data；
Step 2 is analyzed using power producing characteristics of the data obtained in step 1 to wind-powered electricity generation photo-thermal power station combined generating system；
Step 3 determines evaluation index, and wind-powered electricity generation photo-thermal power station combined generating system capacity optimization mould is established on the basis of step 2
Type, and set operation constraint condition；
Step 4, in the case that meet step 3 setting constraint condition, in conjunction with step 1 obtain data, consider system sale of electricity receive
Benefit, photo-thermal power station power generation subsidy and photo-thermal power station cost of electricity-generating, solve wind-powered electricity generation photo-thermal power station combined generating system capacity and optimize mould
Type, obtain system economy it is optimal when photo-thermal power station capacity configuration situation.
2. the wind-powered electricity generation photo-thermal power station association system capacity optimization method according to claim 1 based on wind light mutual complementing characteristic,
It is characterized by: in step 2, it is described using the data obtained in step 1 to wind-powered electricity generation photo-thermal power station combined generating system
The method that power producing characteristics are analyzed is as follows:
The analysis of 2.1 Wind turbines power producing characteristics
The power output of Wind turbines determines by the output characteristics of mean wind speed and blower at fan shaft height, t moment it is defeated
Power is shown below out:
In formula, PWIt (t) is the output power of t moment Wind turbines, PRFor Wind turbines rated power, v (t) is t moment wind speed,
vcFor Wind turbines threshold wind velocity, vRFor Wind turbines rated wind speed, vFWind speed is truncated for Wind turbines；
The analysis of 2.2 photo-thermal power station power producing characteristics
Typical photo-thermal power station mainly includes the light and heat collection system being arranged in heat collecting field, heat exchange and hold over system, power
Electricity generation system and auxiliary energy system；Wherein the light and heat collection system in heat collecting field receives solar radiant energy to heat thermally conductive stream
Solar radiant energy is converted to thermal energy by body；The thermal power that hold over system is received from heat collecting field are as follows:
QSF(t)=ηSFAI(t) (2)
In formula, QSFIt (t) is t moment hold over system from the received thermal power of heat collecting field；A is heat collecting field area in photo-thermal power station；I
It (t) is t moment normal direction direct projection irradiation level；ηSFFor photothermal conversion efficiency；Photo-thermal power station t moment output power is shown below:
PCSP(t)=(QSF(t)+QTES_D(t)ηTES_D-QCSP_C(t)-Qcurt(t))ηCSP (3)
In formula, PCSPIt (t) is photo-thermal power station t moment output power, QTES_DIt (t) is hold over system t moment heat release function in photo-thermal power station
Rate, ηTES_DFor hold over system exothermal efficiency, Q in photo-thermal power stationCSP_CIt (t) is hold over system t moment accumulation of heat function in photo-thermal power station
Rate, Qcurt(t) thermal power, η are abandoned for t momentCSPFor the conversion efficiency of thermoelectric of photo-thermal power station.
3. the wind-powered electricity generation photo-thermal power station association system capacity optimization method according to claim 1 based on wind light mutual complementing characteristic,
It is characterized by: in step 3, the determination evaluation index establishes wind-powered electricity generation photo-thermal power station joint hair on the basis of step 2
Electric system capacity Optimized model, and the method for setting operation constraint condition is as follows:
3.1 determine evaluation index
A) combined generating system networking power swing
The fluctuation of networking power is characterized using networking power swing rate, networking power swing rate is defined as:
Pnet(t)=PCSP(t)+PW(t)(5)
In formula, Pnet(t0) it is t0Moment grid-connected power, PCSPIt (t) is photo-thermal power station t moment output power, PWIt (t) is Wind turbines
T moment output power；
B) combined generating system power supply reliability
Using the power supply reliability of load short of electricity rate characterization combined generating system, load short of electricity rate is defined as:
In formula, PLIt (t) is t moment load power；
C) photo-thermal power station equalization degree electricity cost
Equalization degree electricity is introduced into the economy of original evaluation photo-thermal power station, indicates that photo-thermal power station is single within construction period and operation phase
The overall cost of position generated energy, is defined as:
In formula, N is the operation time limit of photo-thermal power station；CInvIt (T) is photo-thermal power station in T gross investment；CO&MIt (T) is photo-thermal power station
T operation expense；CfuelIt (T) is photo-thermal power station T fuel afterburning cost；ECSPIt (T) is T net electric generation；r
For discount rate；
D) combined generating system sale of electricity income
Combined generating system sale of electricity income is that the electric energy of combined generating system production sells to power grid income obtained, is defined as:
In formula, k1For combined generating system sale of electricity electricity price；
E) photo-thermal power station power generation subsidy
For promotion photo-thermal power station development, give photo-thermal power station power generation certain subsidy, is defined as:
In formula, k2For photo-thermal power station power generation subsidized price；
3.2 setting objective functions
Wind turbines installed capacity is considered it is known that dividing under the premise of meeting workload demand i.e. combined generating system operation constraint
The capacity of photo-thermal power station is analysed, following formula sets up wind-powered electricity generation photo-thermal power station combined generating system capacity optimization mould as objective function
Type:
3.3 setting operation constraint conditions
A) networking power swing constrains: networking power swing is characterized with networking power swing rate, and networking power swing rate need to be one
Within the scope of fixed, it is shown below:
d(t)≤ε (11)
In formula, ε is the power swing that combined generating system allows；
B) power supply reliability constrain: system power supply reliability with load short of electricity rate characterize, load short of electricity rate need to a certain range it
It is interior, it is shown below::
f≤λL (12)
In formula, λLThe short of electricity rate allowed for load；
C) Wind turbines units limits: Wind turbines need to be shown below in the power output of t moment within the scope of its power output:
PW_min≤PW(t)≤PW_max (13)
In formula, PW_min、PW_maxFor the output power bound of Wind turbines；
D) photo-thermal power station operation constraint
Output power size constraint: photo-thermal power station need to be shown below in the power output of t moment within the scope of its power output:
In formula,For the output power bound of photo-thermal power station；
The constraint of hold over system heating power balance: there are heat loss in heat storing process for hold over system, are shown below:
ETES(t)=(1- γTES)ETES(t-1)+QTES_C(t)ηTES_C-QTES_D(t) (15)
In formula, ETES(t) heat, γ are stored for hold over system t momentTESFor hold over system heat dissipation coefficient, ηTES_CFor accumulation of heat system
System exothermal efficiency；
Hold over system capacity-constrained: hold over system t moment storage heat no more than hold over system capacity limit, it is as follows
Shown in formula:
In formula,For hold over system capacity bound；
Hold over system stores heat release power constraint: hold over system the accumulation of heat of t moment, heat release watt level need to its power bracket it
It is interior, it is shown below:
In formula,For the hold over system accumulation of heat upper limit of the power,For the hold over system heat release upper limit of the power；
Hold over system store heat release state constraint: hold over system cannot simultaneously accumulation of heat and heat release, be shown below:
xTES_C(t)+xTES_D(t)≤1 (19)
xCSP(t)≥xTES_D(t) (20)
In formula, xTES_C(t) it is 0,1 state variable, indicates hold over system accumulation of heat when value 1, when value 0 indicates that hold over system does not store
Heat；xTES_D(t) it is 0,1 state variable, indicates hold over system heat release when value 1, when value 0 indicates hold over system not heat release.
4. the wind-powered electricity generation photo-thermal power station association system capacity optimization method according to claim 1 based on wind light mutual complementing characteristic,
It is characterized by: in step 4, the number when meeting the constraint condition of step 3 setting, obtained in conjunction with step 1
According to consideration system sale of electricity income, photo-thermal power station power generation subsidy and photo-thermal power station cost of electricity-generating solve wind-powered electricity generation photo-thermal power station joint and send out
Electric system capacity Optimized model, obtain system economy it is optimal when photo-thermal power station capacity configuration situation method it is as follows:
4.1, according to annual 8760 hours air speed datas, Wind turbines installed capacity in the planning region of step 1 acquisition, utilize formula
(1) the output power P of Wind turbines is calculatedW(t)；
4.2 according to the output power P of Wind turbinesW(t), the load data P that step 1 acquiresL(t), shown in convolution (2)-(3)
Photo-thermal power station power producing characteristics, calculate when meeting constraint condition shown in formula (11)-(20) the feasible appearance of photo-thermal power station
Amount configuration and its corresponding output power PCSP(t)；
4.3 are directed to each feasible photo-thermal power station capacity and corresponding output power, calculate photo-thermal power station using formula (7)
Equalization degree electricity cost CLCOE, combined generating system sale of electricity income C is calculated using formula (8)S, photo-thermal electricity is calculated using formula (9)
Stand power generation subsidy CA；
Step 4.4, according to the above-mentioned photo-thermal power station output power P being calculatedCSP(t), photo-thermal power station equalization degree electricity cost
CLCOE, combined generating system sale of electricity income CSIt generates electricity with photo-thermal power station and subsidizes CA, objective function shown in convolution (10) calculates
In the case where meeting constraint condition, the target function value of each configuring condition, and target function value is taken to take under maximum case,
Photo-thermal power station capacity configuration when i.e. system economy is optimal is final result.
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