CN116231767A - Multi-energy complementary scheduling method and system for cascade hydropower station - Google Patents
Multi-energy complementary scheduling method and system for cascade hydropower station Download PDFInfo
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Abstract
The invention provides a multi-energy complementary scheduling method and a system for a cascade hydropower station, comprising the following steps: constructing a wind, light, water and fire storage optimization scheduling model of the hybrid power station; the wind, light, water and fire storage optimization scheduling model of the hybrid power station is used for acquiring wind, light and water-based running parameters of the cascade hydropower station in a mode of the hybrid power station based on input data; constructing a wind, light, water and fire optimal scheduling model of the non-mixed power station; the wind, light, water and fire optimization scheduling model of the non-mixed power storage station is used for acquiring wind, light and water-based operation parameters of the cascade hydropower station in the non-mixed power storage station mode based on input data; comparing the wind-light water-based operation parameters in the mixed power station mode with the wind-light water-based operation parameters in the non-mixed power station mode, determining the value and the action of the mixed power station, and determining whether the mixed power station is started for electric energy scheduling according to the value and the action of the mixed power station; so as to better improve the wind and light absorbing capacity and improve the running quality and reliability of the power grid.
Description
Technical Field
The invention relates to the technical field of electric energy storage systems, in particular to a multi-energy complementary scheduling method and system for a cascade hydropower station.
Background
Wind-solar new energy power generation is developed on a large scale, and becomes a dominant power supply of a future clean power grid. However, due to inherent fluctuation and randomness of wind power and photovoltaic power output, the problem of new energy consumption is very prominent, and particularly the problems of power rejection risks, stable operation of a high-proportion clean energy system and the like caused by huge flexibility requirements are more and more prominent along with rapid expansion of wind and light grid-connected scale. In the prior art, the wind and light absorption capacity is improved and the running quality and reliability of a power grid are improved by solving a wind and light water complementary power generation system joint scheduling optimization model through the complementary fluctuation characteristics of water and electricity, wind and light output. However, most of the prior art references are directed to stand alone hydroelectric power plants or pumped-hydro power plants or cascade hydroelectric power plants that do not take into account the coupling relationship of a hybrid pumped-hydro power plant. Because the large-scale hydropower stations are developed on a large scale in the river basin cascade hydropower stations at present and the mixed pumped storage power stations in China are put into construction, the prior art cannot be well applied to the wind, light, water and fire storage multifunctional hydropower stations of the mixed storage hydropower stations which are constructed in the prior art and in the future.
In view of the above, the invention provides a multi-energy complementary scheduling method and a multi-energy complementary scheduling system for a cascade hydropower station, which take complex constraint and coupling relation of a cascade hydropower station group of a hybrid power station into consideration, and construct a collaborative scheduling optimization model of a combined wind, light, water and fire storage so as to better improve wind and light absorption capacity and improve the running quality and reliability of a power grid.
Disclosure of Invention
The invention aims to provide a multi-energy complementary scheduling method of a cascade hydropower station, which comprises the following steps: constructing a wind, light, water and fire storage optimization scheduling model of the hybrid power station; the wind, light, water and fire storage optimization scheduling model of the hybrid power station is used for acquiring wind, light and water-based operation parameters of the cascade hydropower station in a mode of the hybrid power station based on input data; constructing a wind, light, water and fire optimal scheduling model of the non-mixed power station; the wind, light, water and fire optimizing and scheduling model of the non-mixed power storage station is used for acquiring wind, light and water-based operation parameters of the cascade hydropower station in the non-mixed power storage station mode based on the input data; the input data comprise load data, hydropower processing characteristic data, wind-light output characteristic data and hydropower unit data; the wind-solar water-based operation parameters in the mixed power storage station mode and the wind-solar water-based operation parameters in the non-mixed power storage station mode respectively comprise operation cost, clean energy consumption data, hydroelectric generating set output data and carbon emission data in the mixed power storage station mode and the non-mixed power storage station mode; comparing the wind-light water-based operation parameters in the mode of the hybrid power station with the wind-light water-based operation parameters in the mode of the non-hybrid power station, determining the value and the action of the hybrid power station, and determining whether the hybrid power station is started for electric energy scheduling according to the value and the action of the hybrid power station; the electric energy is obtained at least through wind power, photovoltaic power, firepower and hydroelectric power generation.
Further, the input data comprises horizontal period input data, high-water period input data and dead water period input data; the determining whether the base enables the hybrid storage station to perform electric energy scheduling according to the value and the function of the hybrid storage station comprises the following steps: and comprehensively analyzing the comprehensive value and the comprehensive effect of the hybrid power station in the water leveling period, the water rising period and the water withering period, and determining whether to start the hybrid power station to schedule electric energy or not based on the comprehensive value and the comprehensive effect.
Further, the building of the wind, light, water and fire storage optimization scheduling model of the hybrid power station and the building of the wind, light, water and fire optimization scheduling model of the non-hybrid power station comprises the following steps: constructing an objective function of the wind, light, water and fire storage optimal scheduling model of the hybrid power station and the wind, light, water and fire optimal scheduling model of the non-hybrid power station; the objective function is related to supply and demand balance, base operation cost, clean energy consumption capability and fluctuation of the delivered electric quantity; constructing constraint conditions of a wind, light, water and fire storage optimal scheduling model of the hybrid power station and a wind, light, water and fire optimal scheduling model of the non-hybrid power station; the constraint condition is related to system power, cascade hydropower station group coupling operation of the hybrid power storage station, thermal power generating unit operation and wind-light output.
Further, the objective function comprises minimum operation cost of a base, minimum waste amount of renewable energy, minimum carbon emission and minimum fluctuation of combined wind, light and water storage output;
the expression with the minimum base operation cost is as follows:
wherein ,
representing the cost of base operation,/->
Represents the coal consumption cost of the thermal power generating unit, < >>
Representing start-stop cost;
the expression of the minimum renewable energy waste amount is as follows:
wherein ,
indicating the amount of renewable energy to be discarded, +.>
Indicates the total period of time,/->
Representing time variable, +_>
Representing the total number of wind farms>
Representing wind farm variables>
Representing wind farm +.>
In period->
The wind power of the wind is left and right>
Representing the total number of photovoltaic power stations->
Representing photovoltaicPower station variable->
Representing photovoltaic power station->
In period->
The generated optical power is +.>
Representing the duration of each period;
the expression of the minimum carbon emission is:
wherein ,
representing carbon emission costs,/->
Representing the carbon emission cost factor,/->
Representing time variable, +_>
Representing the total number of time periods,/-, and>
representing thermal power station variables>
Indicating the total number of thermal power stations>
、/>
、/>
Respectively representing pollution emission coefficients corresponding to different coals adopted by the thermal power station; />
Indicate->
Thermal power output of the personal thermal power station.
Further, for a wind, light, water and fire storage optimization scheduling model of the hybrid power station, an expression with the minimum fluctuation of wind, light and water storage combined output force is as follows:
wherein ,
the fluctuation of wind, light and water storage combined output force is represented, T represents the total time period number, and the number is +>
Representing time variable, +_>
Representing the total output of wind power,/->
Indicating the total output of the photovoltaic system->
Indicating the regulated force of the step hydropower->
Indicating the discharge power of the hybrid power storage station, < >>
Representing the charging power of the hybrid power storage station, < >>
And (5) representing the average value of the wind-light output curve after stabilization.
Furthermore, for a wind, light, water and fire optimal scheduling model of a non-mixed power station, the expression with the minimum fluctuation of wind, light and water storage combined output force is as follows:
wherein ,
the fluctuation of wind, light and water storage combined output force is represented, T represents the total time period number, and the number is +>
Representing time variable, +_>
Representing the total output of wind power,/->
Indicating the total output of the photovoltaic system->
Indicating the regulated force of the step hydropower->
And (5) representing the average value of the wind-light output curve after stabilization.
Further, the constraint conditions comprise system power balance constraint, cascade hydropower station group coupling operation constraint, thermal power generating unit operation constraint and wind-light output unit output limit constraint;
the expression of the thermal power generating unit operation constraint is as follows:
wherein g represents a thermal power unit variable, t represents a time variable,
representing the operating state variable of the thermal power generating unit at the time t, < ->
Representing the minimum output of the thermal power unit g +.>
Represents the maximum output of the thermal power generating unit g,
representing the operating state variable of the thermal power generating unit at the time t-1,/->
Represents the continuous operation time of the thermal power generating unit g,
represents the minimum on time of the thermal power unit g, < ->
Indicating the continuous down time of the thermal power unit g +.>
Represents the minimum stop time of the thermal power unit g, < ->
Represents the minimum ramp rate of the thermal power generating unit g,
indicating the output of the thermal power generating unit g in the t-1 period,/->
Representation ofMaximum climbing rate of the thermal power generating unit g;
the expression of the output limit constraint of the wind-light output unit is as follows:
wherein w represents the variable of the wind turbine generator,
indicating the output of the wind turbine generator w in the t period, < >>
The upper output limit of the wind turbine generator system w is represented, s represents the variable of the photovoltaic generator system, and +.>
Representing the output of the photovoltaic generator set s,
the upper output limit of the photovoltaic generator set s is indicated.
Further, for a wind, light, water and fire storage optimization scheduling model of the hybrid power station, the expression of the system power balance constraint is as follows:
wherein ,
representing the total output of wind power,/->
Indicating the total output of the photovoltaic system->
Indicating the regulated force of the step hydropower->
Indicating total output of thermal power, ++>
Indicating the discharge power of the hybrid power storage station, < >>
Represents the charging power of the hybrid electric power storage station,
representation->
System load at moment; />
Representation->
The power generation base sends out electric quantity at the moment;
the expression of the cascade hydropower station group coupling operation constraint is as follows:
wherein ,
indicating the output of the j-th hydropower station in t period,/->
Representing the coefficient of power generation efficiency>
Represents the power generation flow of the j-th hydropower station in t period,>
represents the head of a j-th hydropower station, +.>
Representing the pumping state variable of the hybrid power storage station, +.>
Represents the state variable of water discharge of the hybrid power storage station, +.>
Representing the operational state variable of the j-th hydropower station, < >>
Indicating the storage capacity of the j-th hydropower station in t period>
Representing the storage capacity of the j-th hydropower station in the t-1 period +.>
Represents the natural water inflow of the j-th hydropower station in the t period,>
indicating the water rejection of the jth hydropower station in the t period,/-level>
Represents the water extraction of the hybrid power station in the period t, < >>
Indicating the water discharge quantity of the hybrid power station in the t period, < >>
Representing the duration of each period,/-, of>
Representing hydropower station variable->
Representing the power generation flow of the j-1-th hydropower station in t period, < >>
Representing the water discarding quantity of the j-1 th hydropower station in the t period; />
Representing the lower limit of the reservoir capacity of the j-th hydropower station, < ->
Represents the upper limit of the storage capacity of the j-th hydropower station,
representing the operational state variable of the j-th hydropower station, < >>
Indicating the lower limit of the power generation flow of the j-th hydropower station, < ->
Indicating the upper limit of the power generation flow of the j-th hydropower station, < ->
Representing the lower limit of the pumping flow of the hybrid power storage station, < + >>
Representing the upper limit of the water pumping flow of the hybrid power storage station, < + >>
Indicating the lower limit of the water discharge flow of the hybrid power storage station, < + >>
And the upper limit of discharge flow of the hybrid power storage station is indicated.
Further, for a wind, light, water and fire optimization scheduling model of the non-mixed power station, the expression of the power balance constraint of the system is as follows:
wherein ,
representing the total output of wind power,/->
Indicating the total output of the photovoltaic system->
Indicating the regulated force of the step hydropower->
Indicating total output of thermal power, ++>
Representation->
System load at moment; />
Representation->
Time power generation base deliveryAn electric quantity;
the expression of the cascade hydropower station group coupling operation constraint is as follows:
wherein ,
indicating the output of the j-th hydropower station in t period,/->
Representing the coefficient of power generation efficiency>
Represents the power generation flow of the j-th hydropower station in t period,>
represents the head of a j-th hydropower station, +.>
Indicating the storage capacity of the j-th hydropower station in t period>
Representing the storage capacity of the j-th hydropower station in the t-1 period +.>
Represents the natural water inflow of the j-th hydropower station in the t period,>
indicating the water rejection of the jth hydropower station in the t period,/-level>
Representing the duration of each period,/-, of>
Representing hydropower station variable->
Representing the power generation flow of the j-1-th hydropower station in t period, < >>
Representing the lower limit of the reservoir capacity of the j-th hydropower station, < ->
Indicating the upper limit of the storage capacity of the j-th hydropower station, < ->
Representing the operational state variable of the j-th hydropower station, < >>
Indicating the lower limit of the power generation flow of the j-th hydropower station, < ->
And the upper limit of the power generation flow of the j-th hydropower station is indicated.
The invention aims to provide a multi-energy complementary scheduling system of a cascade hydropower station, which comprises a first construction module, a second construction module and a judging module; the first construction module is used for constructing a wind, light, water and fire storage optimization scheduling model of the hybrid power station; the wind, light, water and fire storage optimization scheduling model of the hybrid power station is used for acquiring wind, light and water-based operation parameters of the cascade hydropower station in the hybrid power station mode based on input data; the second construction module is used for constructing a wind, light, water and fire optimal scheduling model of the non-mixed power station; the wind, light, water and fire optimizing and scheduling model of the non-mixed power storage station is used for acquiring wind, light and water-based operation parameters of the cascade hydropower station in the non-mixed power storage station mode based on the input data; the input data comprise load data, hydropower processing characteristic data, wind-light output characteristic data and hydropower unit data; the wind-solar water-based operation parameters in the mixed power storage station mode and the wind-solar water-based operation parameters in the non-mixed power storage station mode respectively comprise operation cost, clean energy consumption data, hydroelectric generating set output data and carbon emission data in the mixed power storage station mode and the non-mixed power storage station mode; the judging module is used for comparing the wind-light water-based operation parameters in the mixed power storage station mode with the wind-light water-based operation parameters in the non-mixed power storage station mode, determining the value and the action of the mixed power storage station, and determining whether the mixed power storage station is started for electric energy scheduling according to the value and the action of the mixed power storage station; the electric energy is obtained at least through wind power, photovoltaic power, firepower and hydroelectric power generation.
The technical scheme of the embodiment of the invention has at least the following advantages and beneficial effects:
according to the invention, the minimum of the waste wind and the waste light is set as the objective function in the power generation base joint scheduling model, so that the clean energy consumption can be improved, and the carbon emission can be reduced.
According to the invention, the minimum fluctuation of the wind-light-water combined output is considered in the base combined dispatching model, so that the safety of the electric quantity sent out by the clean energy base can be improved.
The invention is divided into two types of scene expansion measurement and calculation of the mixed power storage station, can explore and compare the influence on the economic benefit of the base under the mixed power storage station and the fluctuation condition of the combined output of the power generator set output and wind, light and water storage, explore the value and the effect of the mixed power storage station in the dispatching operation of the wind, light, water and fire storage clean energy base containing step hydropower, so as to more reasonably plan the power station.
Drawings
FIG. 1 is an exemplary flow chart of a multi-energy complementary scheduling method for a cascade hydropower station according to some embodiments of the invention;
fig. 2 is an exemplary block diagram of a multi-energy complementary scheduling system for a cascade hydropower station according to some embodiments of the invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Fig. 1 is an exemplary flow chart of a multi-functional complementary scheduling method for a cascade hydropower station according to some embodiments of the invention. In some embodiments, the process 100 may be performed by the system 200. As shown in fig. 1, the process 100 may include:
In some embodiments, a wind, solar, water and fire storage clean energy base of a cascade hydropower station with a hybrid power station can be taken as a research object, load level and characteristics, wind, solar, water output characteristics, hybrid power station and cascade hydropower station operation characteristics, various power supply parameters, base operation economic parameters and carbon emission parameters are taken as boundary conditions, the base operation cost is lowest, the clean energy waste amount is minimum, the carbon emission amount is minimum and the fluctuation of wind, solar and water combined output is minimum as an objective function, and complex operation constraint, thermal power unit operation constraint and wind, solar and water combined output constraint of the cascade hydropower station group which take coupling factors of the hybrid power station into consideration are taken into consideration, so that unit operation data are generated.
The input data comprise load data, hydropower processing characteristic data, wind-light output characteristic data and hydropower unit data.
The wind-solar-water-based operation parameters in the hybrid power station mode and the wind-solar-water-based operation parameters in the non-hybrid power station mode respectively comprise operation cost, clean energy consumption data, hydroelectric generating set output data and carbon emission data in the hybrid power station mode and the non-hybrid power station mode.
In some embodiments, in order to explore the influence of the hybrid power station on improving clean energy consumption capability, reducing wind, light and water combined output fluctuation and reducing base operation cost, a wind, light and water and fire combined dispatching optimization model of the cascade hydropower station without the hybrid power station is constructed on the basis of wind, light and water and fire combined dispatching optimization simulation operation of the cascade hydropower station with the hybrid power station, and the operation condition of the non-hybrid power station is simulated.
The method is used for expanding short-term optimized scheduling for the wind, light, water and fire storage multifunctional complementary base, and improving the economical efficiency of base operation, the clean energy absorbing capacity and the fluctuation of the power output at the same time of meeting the balance of supply and demand. In some embodiments, the building of the wind, light, water and fire storage optimal scheduling model of the hybrid power station and the building of the wind, light, water and fire optimal scheduling model of the non-hybrid power station comprises:
constructing an objective function of the wind, light, water and fire storage optimal scheduling model of the hybrid power station and the wind, light, water and fire optimal scheduling model of the non-hybrid power station; the objective function is related to supply and demand balance, base operation cost, clean energy consumption capability, and fluctuation of the delivered power.
In some embodiments, the objective function includes minimum cost of operation of the base, minimum renewable energy waste, minimum carbon emissions, and minimum combined wind and solar water storage output fluctuation.
The expression with the minimum base operation cost is as follows:
wherein ,
representing the cost of base operation,/->
Represents the coal consumption cost of the thermal power generating unit, < >>
Indicating the start-stop cost.
Wherein T is the total number of time periods, here 24 hours,
indicating the total number of thermal power stations>
、/>
and />
Coal consumption coefficient of thermal power unit i, < ->
Represents the output of the thermal power unit at the time t +.>
Start-stop state variable of thermal power generating unit i at t time>
Represents the start-stop cost of the thermal power generating unit, < >>
And the start-stop state variable of the thermal power generating unit i at the time t-1 is represented.
The expression of the minimum renewable energy waste amount is as follows:
wherein ,
represents renewable energy waste (i.e. sum of waste wind, waste light power),>
indicates the total period of time,/->
Representing time variable, +_>
Representing the total number of wind farms>
Representing wind farm variables>
Representing wind farm +.>
In the time period
The wind power of the wind is left and right>
Representing the total number of photovoltaic power stations->
Representing photovoltaic plant variables, +.>
Representing photovoltaic power station->
In period->
The generated optical power is +.>
The duration of each period is represented, here set to 1h.
The expression of the minimum carbon emission is:
wherein ,
representing carbon emission costs,/->
Representing the carbon emission cost factor,/->
Representing time variable, +_>
Representing the total number of time periods,/-, and>
representing thermal power station variables>
Indicating the total number of thermal power stations>
、/>
、/>
Respectively indicate pollution emission coefficients corresponding to different coals adopted by the thermal power station, and the units are +.>
、/>
and />
；/>
Indicate->
Thermal power output of the personal thermal power station.
The fluctuation difference of wind, light and water is considered, the fluctuation of wind and light output is stabilized by using water and electricity and mixed storage output, the running cost of the thermal power unit can be reduced, the economy of the system is improved, and the safety of the power sent out by a base is improved.
For a wind, light, water and fire storage optimization scheduling model of a hybrid power station, the expression with the minimum fluctuation of wind, light and water storage combined output force is as follows:
wherein ,
the fluctuation of wind, light and water storage combined output force is represented, T represents the total time period number, and the number is +>
Representing time variable, +_>
Representing the total output of wind power (e.g.)>
Total wind power output of individual wind power bases),>
represents the total photovoltaic output (e.g.)>
Total photovoltaic output of individual photovoltaic bases), -a photovoltaic total output of individual photovoltaic bases, -a>
Representing the regulated output of the cascade hydropower (e.g., the regulated output of the jth cascade hydropower station),
indicating the discharge power of the hybrid power storage station, < >>
Representing the charging power of the hybrid power storage station, < >>
And (5) representing the average value of the wind-light output curve after stabilization.
wherein ,
wind power output representing an ith wind power base; />
Is the photovoltaic output of the ith photovoltaic base,
representing the water power output of the j-th cascade hydropower station.
For a wind, light, water and fire optimal scheduling model of an unambiguation power station, an expression with minimum fluctuation of wind, light and water storage combined output is as follows:
wherein ,
the fluctuation of wind, light and water storage combined output force is represented, T represents the total time period number, and the number is +>
Representing time variable, +_>
Representing the total output of wind power,/->
Indicating the total output of the photovoltaic system->
Indicating the regulated force of the step hydropower->
And (5) representing the average value of the wind-light output curve after stabilization.
Constructing constraint conditions of a wind, light, water and fire storage optimal scheduling model of the hybrid power station and a wind, light, water and fire optimal scheduling model of the non-hybrid power station; the constraint condition is related to system power, cascade hydropower station group coupling operation of the hybrid power storage station, thermal power generating unit operation and wind-light output.
In some embodiments, the constraint conditions include a system power balance constraint, a cascade hydropower station group coupled operation constraint, a thermal power unit operation constraint and a wind-light output unit output limit constraint;
the expression of the thermal power generating unit operation constraint is as follows:
wherein g represents a thermal power unit variable, and t representsThe amount of the intermediate variable is,
representing the operating state variable of the thermal power generating unit at the time t, < ->
Representing the minimum output of the thermal power unit g +.>
Represents the maximum output of the thermal power generating unit g,
representing the operating state variable of the thermal power generating unit at the time t, < ->
Represents the continuous operation time of the thermal power generating unit g,
represents the minimum on time of the thermal power unit g, < ->
Representing the continuous downtime of the thermal power plant g,
represents the minimum stop time of the thermal power unit g, < ->
Represents the minimum ramp rate of the thermal power generating unit g,
indicating the output of the thermal power generating unit g in the t-1 period,/->
Representing the maximum climbing rate of the thermal power generating unit g;
the expression of the output limit constraint of the wind-light output unit is as follows:
wherein w represents the variable of the wind turbine generator,
indicating the output of the wind turbine generator w in the t period, < >>
The upper output limit of the wind turbine generator system w is represented, s represents the variable of the photovoltaic generator system, and +.>
Representing the output of the photovoltaic generator set s,
the upper output limit of the photovoltaic generator set s is indicated.
For a wind, light, water, and fire storage optimized scheduling model of a hybrid power plant, the system power balance constraints (i.e., for each time period
Thermal power unit output, cascade hydroelectric power output, wind power output, photovoltaic output and hybrid power station output and load to realize supply and demand balance) is expressed as follows:
wherein ,
representing the total output of wind power,/->
Indicating the total output of the photovoltaic system->
Indicating the regulated force of the step hydropower->
Indicating total output of thermal power, ++>
Indicating the discharge power of the hybrid power storage station, < >>
Represents the charging power of the hybrid electric power storage station,
representation->
System load at moment; />
Representation->
The power generation base sends out electric quantity at the moment;
the expression of the cascade hydropower station group coupling operation constraint is as follows:
wherein ,
indicating the output of the j-th hydropower station in t period,/->
The power generation efficiency coefficient (8.5 for large hydropower station, 8.0-8.5 for medium hydropower station and 6.0-8.0 for small hydropower station) is expressed>
Represents the power generation flow of the j-th hydropower station in t period,>
represents the head of a j-th hydropower station, +.>
Representing the pumping state variable of the hybrid power storage station, +.>
Represents the state variable of water discharge of the hybrid power storage station, +.>
Representing the operational state variable of the j-th hydropower station, < >>
Indicating the storage capacity of the j-th hydropower station in t period>
Representing the storage capacity of the j-th hydropower station in the t-1 period +.>
Represents the natural water inflow of the j-th hydropower station in the t period,>
indicating the water rejection of the jth hydropower station in the t period,/-level>
Represents the water extraction of the hybrid power station in the period t, < >>
Indicating the water discharge quantity of the hybrid power station in the t period, < >>
Representing the duration of each period,/-, of>
Representing hydropower station variable->
Representing the power generation flow of the j-1-th hydropower station in t period, < >>
Representing the water discarding quantity of the j-1 th hydropower station in the t period;
representing the lower limit of the reservoir capacity of the j-th hydropower station, < ->
Indicating the upper limit of the storage capacity of the j-th hydropower station, < ->
Indicating the lower limit of the power generation flow of the j-th hydropower station, < ->
Indicating the upper limit of the power generation flow of the j-th hydropower station, < ->
Representing lower limit of pumping flow of hybrid power storage station，/>
Representing the upper limit of the water pumping flow of the hybrid power storage station, < + >>
Represents the lower limit of the discharge flow of the hybrid electric power storage station,
and the upper limit of discharge flow of the hybrid power storage station is indicated.
For a wind, light, water and fire optimization scheduling model of an unambiguation power station, the expression of the power balance constraint of the system is as follows:
wherein ,
representing the total output of wind power,/->
Indicating the total output of the photovoltaic system->
Indicating the regulated force of the step hydropower->
Indicating total output of thermal power, ++>
Representation->
System load at moment; />
Representation->
The power generation base sends out electric quantity at the moment;
the expression of the cascade hydropower station group coupling operation constraint is as follows:
wherein ,
indicating the output of the j-th hydropower station in t period,/->
Representing the coefficient of power generation efficiency>
Represents the power generation flow of the j-th hydropower station in t period,>
represents the head of a j-th hydropower station, +.>
Indicating the storage capacity of the j-th hydropower station in t period>
Representing the storage capacity of the j-th hydropower station in the t-1 period +.>
Represents the natural water inflow of the j-th hydropower station in the t period,>
represents the jth stage hydropower station in the t periodIs of the water discard quantity->
Representing the duration of each period,/-, of>
Representing hydropower station variable->
Representing the power generation flow of the j-1-th hydropower station in t period, < >>
Representing the lower limit of the reservoir capacity of the j-th hydropower station, < ->
Indicating the upper limit of the storage capacity of the j-th hydropower station, < ->
Representing the operational state variable of the j-th hydropower station, < >>
Indicating the lower limit of the power generation flow of the j-th hydropower station, < ->
And the upper limit of the power generation flow of the j-th hydropower station is indicated.
In some embodiments, the input data includes flat water input data, high water input data, and dead water input data; the determining whether the base enables the hybrid storage station to perform electric energy scheduling according to the value and the function of the hybrid storage station comprises the following steps: and comprehensively analyzing the comprehensive value and the comprehensive effect of the hybrid power station in the water leveling period, the water rising period and the water withering period, and determining whether to start the hybrid power station to schedule electric energy or not based on the comprehensive value and the comprehensive effect.
For example, selecting flat water period load data, cascade hydropower station output characteristic data, wind and light output characteristic data and unit basic data, respectively performing operation models on joint scheduling models under the presence and absence of a hybrid electric power storage station, and respectively obtaining base operation cost data, clean energy consumption data, cascade hydropower station unit output data and base carbon emission data, and comparing and analyzing the value and the effect of the hybrid electric power storage station.
For another example, load data in a high-water period, output characteristic data of the cascade hydropower station, wind-light output characteristic data and unit basic data are selected, operation models are respectively carried out on the joint scheduling models under the presence and absence of the hybrid electric power storage station, and base operation cost data, clean energy consumption data, output data of the cascade hydropower station unit and base carbon emission data are respectively obtained, so that the value and the effect of the hybrid electric power storage station are compared and analyzed.
For example, the load data in the dead water period, the output characteristic data of the cascade hydropower station, the wind-solar output characteristic data and the unit basic data are selected, the operation model is respectively carried out on the joint scheduling model under the condition that the power storage station is in existence or not, the base operation cost data, the clean energy consumption data, the output data of the cascade hydropower station and the base carbon emission data are respectively obtained, and the value and the effect of the hybrid power storage station are compared and analyzed.
The value and effect may be related to the cost of electricity generation and the ability to dissipate clean energy. For example, promotion of wind, light absorption under complementary effects of wind, light, water forces; the influence on the output of the cascade hydropower station under the mixed power storage station is present; the method comprises the following steps of (1) judging whether an energy waste condition of a clean energy base under a hybrid power storage station and an output fluctuation condition exist; the system has the effects of reducing carbon emission and promoting the wind, light, water and fire combined power generation system under the mixed power storage station and the like. For example, when enabling the hybrid electric station can reduce the power generation cost and increase the clean energy consumption, it is determined to enable the hybrid electric station, otherwise the non-hybrid electric station is continued to be used. Of course, other scheduling can be performed, and the specific scheduling mode is specifically determined according to the actual target.
Fig. 2 is an exemplary block diagram of a multi-energy complementary scheduling system for a cascade hydropower station according to some embodiments of the invention. As shown in fig. 2, the system 200 may include a first building block 210, a second building block 220, and a determination block 230;
the first construction module 210 is configured to construct a wind, light, water and fire storage optimization scheduling model of the hybrid power station; the wind, light, water and fire storage optimization scheduling model of the hybrid power station is used for acquiring wind, light and water-based operation parameters of the cascade hydropower station in the hybrid power station mode based on input data. For more on the first build module 210, see FIG. 1 and its associated description.
The second construction module 220 is used for constructing a wind, light, water and fire optimal scheduling model of the non-mixed power station; the wind, light, water and fire optimizing and scheduling model of the non-mixed power storage station is used for acquiring wind, light and water-based operation parameters of the cascade hydropower station in the non-mixed power storage station mode based on the input data; the input data comprise load data, hydropower processing characteristic data, wind-light output characteristic data and hydropower unit data; the wind-solar water-based operation parameters in the mixed power storage station mode and the wind-solar water-based operation parameters in the non-mixed power storage station mode respectively comprise operation cost, clean energy consumption data, hydroelectric generating set output data and carbon emission data in the mixed power storage station mode and the non-mixed power storage station mode. For more details on the second building block 220, see FIG. 1 and its associated description.
The judging module 230 is configured to compare the wind-solar water-based operation parameter in the hybrid electric power station mode with the wind-solar water-based operation parameter in the non-hybrid electric power station mode, determine a value and an action of the hybrid electric power station, and determine whether the hybrid electric power station is started for power dispatching according to the value and the action of the hybrid electric power station; the electric energy is obtained at least through wind power, photovoltaic power, firepower and hydroelectric power generation. For more details on the decision module 230, see FIG. 1 and its associated description.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The multi-energy complementary scheduling method for the cascade hydropower station is characterized by comprising the following steps of:
constructing a wind, light, water and fire storage optimization scheduling model of the hybrid power station; the wind, light, water and fire storage optimization scheduling model of the hybrid power station is used for acquiring wind, light and water-based operation parameters of the cascade hydropower station in a mode of the hybrid power station based on input data;
constructing a wind, light, water and fire optimal scheduling model of the non-mixed power station; the wind, light, water and fire optimizing and scheduling model of the non-mixed power storage station is used for acquiring wind, light and water-based operation parameters of the cascade hydropower station in the non-mixed power storage station mode based on the input data;
the input data comprise load data, hydropower processing characteristic data, wind-light output characteristic data and hydropower unit data;
the wind-solar water-based operation parameters in the mixed power storage station mode and the wind-solar water-based operation parameters in the non-mixed power storage station mode respectively comprise operation cost, clean energy consumption data, hydroelectric generating set output data and carbon emission data in the mixed power storage station mode and the non-mixed power storage station mode;
comparing the wind-light water-based operation parameters in the mode of the hybrid power station with the wind-light water-based operation parameters in the mode of the non-hybrid power station, determining the value and the action of the hybrid power station, and determining whether the hybrid power station is started for electric energy scheduling according to the value and the action of the hybrid power station; the electric energy is obtained at least through wind power, photovoltaic power, firepower and hydroelectric power generation.
2. The multi-energy complementary scheduling method of a cascade hydropower station according to claim 1, wherein the input data includes horizontal period input data, high water period input data and dead water period input data; the determining whether the base enables the hybrid storage station to perform electric energy scheduling according to the value and the function of the hybrid storage station comprises the following steps: and comprehensively analyzing the comprehensive value and the comprehensive effect of the hybrid power station in the water leveling period, the water rising period and the water withering period, and determining whether to start the hybrid power station to schedule electric energy or not based on the comprehensive value and the comprehensive effect.
3. The multi-energy complementary scheduling method for the cascade hydropower station according to claim 1, wherein the building of the wind, light, water and fire storage optimal scheduling model of the hybrid hydropower station and the building of the wind, light, water and fire optimal scheduling model of the non-hybrid hydropower station comprises the following steps:
constructing an objective function of the wind, light, water and fire storage optimal scheduling model of the hybrid power station and the wind, light, water and fire optimal scheduling model of the non-hybrid power station; the objective function is related to supply and demand balance, base operation cost, clean energy consumption capability and fluctuation of the delivered electric quantity;
constructing constraint conditions of a wind, light, water and fire storage optimal scheduling model of the hybrid power station and a wind, light, water and fire optimal scheduling model of the non-hybrid power station; the constraint condition is related to system power, cascade hydropower station group coupling operation of the hybrid power storage station, thermal power generating unit operation and wind-light output.
4. The multi-energy complementary scheduling method of the cascade hydropower station according to claim 3, wherein the objective function comprises minimum base operation cost, minimum renewable energy waste, minimum carbon emission and minimum wind, light and water storage combined output fluctuation;
the expression with the minimum base operation cost is as follows:
wherein ,
representing the cost of base operation,/->
Represents the coal consumption cost of the thermal power generating unit, < >>
Representing start-stop cost;
the expression of the minimum renewable energy waste amount is as follows:
wherein ,
indicating the amount of renewable energy to be discarded, +.>
Indicates the total period of time,/->
Representing time variable, +_>
Representing the total number of wind farms>
Representing wind farm variables>
Representing wind farm +.>
In period->
The wind power of the wind is left and right>
Representing the total number of photovoltaic power stations->
Representing photovoltaic plant variables, +.>
Representing photovoltaic power station->
In period->
The optical power of the light that is discarded is generated,
representing the duration of each period;
the expression of the minimum carbon emission is:
wherein ,
representing carbon emission costs,/->
Representing the carbon emission cost factor,/->
Representing time variable, +_>
Representing the total number of time periods,/-, and>
representing thermal power station variables>
Indicating the total number of thermal power stations>
、/>
、/>
Respectively representing pollution emission coefficients corresponding to different coals adopted by the thermal power station; />
Indicate->
Thermal power output of the personal thermal power station.
5. The multi-energy complementary scheduling method of the cascade hydropower station according to claim 4, wherein for a wind, light, water and fire storage optimization scheduling model of the hybrid hydropower station, an expression with the minimum fluctuation of wind, light, water and storage combined output force is as follows:
wherein ,
the fluctuation of wind, light and water storage combined output force is represented, T represents the total time period number, and the number is +>
Representing time variable, +_>
Representing the total output of wind power,/->
Indicating the total output of the photovoltaic system->
Indicating the regulated force of the step hydropower->
Indicating the discharge power of the hybrid power storage station, < >>
Representing the charging power of the hybrid power storage station, < >>
And (5) representing the average value of the wind-light output curve after stabilization.
6. The multi-energy complementary scheduling method of the cascade hydropower station according to claim 4, wherein for a wind, light, water and fire optimal scheduling model of the non-mixed hydropower station, an expression with the minimum fluctuation of wind, light, water and storage combined output is as follows:
wherein ,
the fluctuation of wind, light and water storage combined output force is represented, T represents the total time period number, and the number is +>
Representing time variable, +_>
Representing the total output of wind power,/->
Indicating the total output of the photovoltaic system->
Indicating the regulated force of the step hydropower->
And (5) representing the average value of the wind-light output curve after stabilization.
7. The multi-energy complementary scheduling method of the cascade hydropower station according to claim 3, wherein the constraint conditions comprise a system power balance constraint, a cascade hydropower station group coupling operation constraint, a thermal power unit operation constraint and a wind-light output unit output limit constraint;
the expression of the thermal power generating unit operation constraint is as follows:
wherein g represents a thermal power unit variable, t represents a time variable,
representing the running state variable of the thermal power generating unit at the time t, < ->
Representing the minimum output of the thermal power unit g +.>
Represents the maximum output of the thermal power unit g, < +.>
Representing the operating state variables of the thermal power generating unit at time t-1,/for>
Represents the continuous operation time of the thermal power generating unit g,
represents the minimum on time of the thermal power unit g, < ->
Representing the continuous downtime of the thermal power plant g,
represents the minimum stop time of the thermal power unit g, < ->
Represents the minimum ramp rate of the thermal power generating unit g,
indicating the output of the thermal power generating unit g in the t-1 period,/->
Representing the maximum climbing rate of the thermal power generating unit g;
the expression of the output limit constraint of the wind-light output unit is as follows:
wherein w represents the variable of the wind turbine generator,
representing that the wind turbine generator set w is in t periodForce of->
The upper output limit of the wind turbine generator system w is represented, s represents the variable of the photovoltaic generator system, and +.>
Representing the output of the photovoltaic generator set s, +.>
The upper output limit of the photovoltaic generator set s is indicated.
8. The multi-energy complementary scheduling method of the cascade hydropower station according to claim 7, wherein for a wind, light, water and fire storage optimization scheduling model of the hybrid hydropower station, the expression of the system power balance constraint is:
wherein ,
representing the total output of wind power,/->
Indicating the total output of the photovoltaic system->
Indicating the regulated force of the step hydropower->
Indicating total output of thermal power, ++>
Indicating the discharge power of the hybrid power storage station, < >>
Representing the charging power of the hybrid power storage station, < >>
Representation->
System load at moment; />
Representation->
The power generation base sends out electric quantity at the moment;
the expression of the cascade hydropower station group coupling operation constraint is as follows:
wherein ,
indicating the output of the j-th hydropower station in t period,/->
Representing the coefficient of power generation efficiency>
Represents the power generation flow of the j-th hydropower station in t period,>
represents the head of a j-th hydropower station, +.>
Represents the pumping state variable of the hybrid electric power station,
represents the state variable of water discharge of the hybrid power storage station, +.>
Representing the operational state variable of the j-th hydropower station, < >>
Indicating the storage capacity of the j-th hydropower station in t period>
Representing the storage capacity of the j-th hydropower station in the t-1 period +.>
Representing the nature of a j-th hydropower station of period tWater supply quantity->
Indicating the water rejection of the jth hydropower station in the t period,/-level>
Represents the water extraction of the hybrid power station in the period t, < >>
Indicating the water discharge quantity of the hybrid power station in the t period, < >>
Representing the duration of each period,/-, of>
Representing hydropower station variable->
Representing the power generation flow of the j-1-th hydropower station in t period, < >>
Representing the water discarding quantity of the j-1 th hydropower station in the t period; />
Representing the lower limit of the reservoir capacity of the j-th hydropower station, < ->
Represents the upper limit of the storage capacity of the j-th hydropower station,
indicating the lower limit of the power generation flow of the j-th hydropower station, < ->
Indicating the upper limit of the power generation flow of the j-th hydropower station, < ->
Representing the lower limit of the pumping flow of the hybrid power storage station, < + >>
Representing the upper limit of the water pumping flow of the hybrid power storage station, < + >>
Indicating the lower limit of the water discharge flow of the hybrid power storage station, < + >>
And the upper limit of discharge flow of the hybrid power storage station is indicated.
9. The multi-energy complementary scheduling method of the cascade hydropower station according to claim 7, wherein for a wind, light, water and fire optimal scheduling model of the non-mixed hydropower station, the expression of the system power balance constraint is:
wherein ,
representing the total output of wind power,/->
Indicating the total output of the photovoltaic system->
Indicating the regulated force of the step hydropower->
Indicating total output of thermal power, ++>
Representation->
System load at moment; />
Representation->
The power generation base sends out electric quantity at the moment;
the expression of the cascade hydropower station group coupling operation constraint is as follows:
wherein ,
indicating the output of the j-th hydropower station in t period,/->
Representing the coefficient of power generation efficiency>
Represents the power generation flow of the j-th hydropower station in t period,>
represents the head of a j-th hydropower station, +.>
Indicating the storage capacity of the j-th hydropower station in t period>
Representing the storage capacity of the j-th hydropower station in the t-1 period +.>
Represents the natural water inflow of the j-th hydropower station in the t period,>
indicating the water rejection of the jth hydropower station in the t period,/-level>
Representing the duration of each period,/-, of>
Representing hydropower station variable->
Representing the power generation flow of the j-1-th hydropower station in t period, < >>
Represents the lower limit of the reservoir capacity of the j-th hydropower station,
indicating the upper limit of the storage capacity of the j-th hydropower station, < ->
Representing the operational state variable of the j-th hydropower station, < >>
Indicating the lower limit of the power generation flow of the j-th hydropower station, < ->
Indicating the electricity generation current of the j-th hydropower stationThe upper limit of the amount.
10. The multifunctional complementary scheduling system of the cascade hydropower station is characterized by comprising a first construction module, a second construction module and a judging module;
the first construction module is used for constructing a wind, light, water and fire storage optimization scheduling model of the hybrid power station; the wind, light, water and fire storage optimization scheduling model of the hybrid power station is used for acquiring wind, light and water-based operation parameters of the cascade hydropower station in the hybrid power station mode based on input data;
the second construction module is used for constructing a wind, light, water and fire optimal scheduling model of the non-mixed power station; the wind, light, water and fire optimizing and scheduling model of the non-mixed power storage station is used for acquiring wind, light and water-based operation parameters of the cascade hydropower station in the non-mixed power storage station mode based on the input data; the input data comprise load data, hydropower processing characteristic data, wind-light output characteristic data and hydropower unit data; the wind-solar water-based operation parameters in the mixed power storage station mode and the wind-solar water-based operation parameters in the non-mixed power storage station mode respectively comprise operation cost, clean energy consumption data, hydroelectric generating set output data and carbon emission data in the mixed power storage station mode and the non-mixed power storage station mode;
the judging module is used for comparing the wind-light water-based operation parameters in the mixed power storage station mode with the wind-light water-based operation parameters in the non-mixed power storage station mode, determining the value and the action of the mixed power storage station, and determining whether the mixed power storage station is started for electric energy scheduling according to the value and the action of the mixed power storage station; the electric energy is obtained at least through wind power, photovoltaic power, firepower and hydroelectric power generation.
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