CN116231767B - 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 PDF

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CN116231767B
CN116231767B CN202310529088.5A CN202310529088A CN116231767B CN 116231767 B CN116231767 B CN 116231767B CN 202310529088 A CN202310529088 A CN 202310529088A CN 116231767 B CN116231767 B CN 116231767B
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CN116231767A (en
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陈满
彭煜民
李贻凯
钟鑫亮
李毓烜
王雪林
杨迎
刘德旭
熊翊君
钟海旺
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Energy Storage Research Institute Of China Southern Power Grid Peak Regulation And Frequency Regulation Power Generation Co ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D9/00—Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations
    • F03D9/007—Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations the wind motor being combined with means for converting solar radiation into useful energy
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D9/00—Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations
    • F03D9/008—Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations the wind motor being combined with water energy converters, e.g. a water turbine
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
    • F03D—WIND MOTORS
    • F03D9/00—Adaptations of wind motors for special use; Combinations of wind motors with apparatus driven thereby; Wind motors specially adapted for installation in particular locations
    • F03D9/20—Wind motors characterised by the driven apparatus
    • F03D9/25—Wind motors characterised by the driven apparatus the apparatus being an electrical generator
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313—Resource planning in a project environment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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

Multi-energy complementary scheduling method and system for cascade hydropower station
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:
Figure SMS_1
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_2
representing the cost of base operation,/->
Figure SMS_3
Represents the coal consumption cost of the thermal power generating unit, < >>
Figure SMS_4
Representing start-stop cost;
the expression of the minimum renewable energy waste amount is as follows:
Figure SMS_5
Figure SMS_6
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_7
indicating the amount of renewable energy to be discarded, +.>
Figure SMS_14
Indicates the total period of time,/->
Figure SMS_16
Representing time variable, +_>
Figure SMS_10
Representing the total number of wind farms>
Figure SMS_12
Representing wind farm variables>
Figure SMS_15
Representing wind farm +.>
Figure SMS_20
In period->
Figure SMS_8
The wind power of the wind is left and right>
Figure SMS_11
Representing the total number of photovoltaic power stations->
Figure SMS_18
Representing photovoltaic plant variables, +.>
Figure SMS_19
Representing photovoltaic power station->
Figure SMS_9
In period->
Figure SMS_13
The generated optical power is +.>
Figure SMS_17
Representing the duration of each period;
the expression of the minimum carbon emission is:
Figure SMS_21
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_24
representing carbon emission costs,/->
Figure SMS_27
Representing the carbon emission cost factor,/->
Figure SMS_29
Representing time variable, +_>
Figure SMS_23
Representing the total number of time periods,/-, and>
Figure SMS_26
representing thermal power station variables>
Figure SMS_30
Indicating the total number of thermal power stations>
Figure SMS_32
、/>
Figure SMS_22
、/>
Figure SMS_25
Respectively representing pollution emission coefficients corresponding to different coals adopted by the thermal power station; />
Figure SMS_28
Indicate->
Figure SMS_31
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:
Figure SMS_33
Figure SMS_34
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_35
the fluctuation of wind, light and water storage combined output force is represented, T represents the total time period number, and the number is +>
Figure SMS_39
Representing time variable, +_>
Figure SMS_41
Representing the total output of wind power,/->
Figure SMS_37
Indicating the total output of the photovoltaic system->
Figure SMS_38
Indicating the regulated force of the step hydropower->
Figure SMS_40
Indicating the discharge power of the hybrid power storage station, < >>
Figure SMS_42
Representing the charging power of the hybrid power storage station, < >>
Figure SMS_36
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:
Figure SMS_43
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_44
the fluctuation of wind, light and water storage combined output force is represented, T represents the total time period number, and the number is +>
Figure SMS_45
Representing time variable, +_>
Figure SMS_46
Representing the total output of wind power,/->
Figure SMS_47
Indicating the total output of the photovoltaic system->
Figure SMS_48
Indicating the regulated force of the step hydropower->
Figure SMS_49
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:
Figure SMS_50
Figure SMS_51
Figure SMS_52
wherein g represents a thermal power unit variable, t represents a time variable,
Figure SMS_55
Representing the operating state variable of the thermal power generating unit at the time t, < ->
Figure SMS_56
Representing the minimum output of the thermal power unit g +.>
Figure SMS_60
Represents the maximum output of the thermal power unit g, < +.>
Figure SMS_54
Representing the operation of the thermal power generating unit at the time t-1Row state variable->
Figure SMS_57
Indicating the continuous operation time of the thermal power unit g +.>
Figure SMS_59
Represents the minimum on time of the thermal power unit g, < ->
Figure SMS_62
Indicating the continuous down time of the thermal power unit g +.>
Figure SMS_53
Represents the minimum stop time of the thermal power unit g, < ->
Figure SMS_58
Represents the minimum ramp rate of the thermal power unit g, < ->
Figure SMS_61
The output of the thermal power generating unit g in the t-1 period is represented,
Figure SMS_63
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:
Figure SMS_64
Figure SMS_65
wherein w represents the variable of the wind turbine generator,
Figure SMS_66
indicating the output of the wind turbine generator w in the t period, < >>
Figure SMS_67
The upper output limit of the wind turbine generator system w is represented, s represents the variable of the photovoltaic generator system, and +.>
Figure SMS_68
Representing the output of the photovoltaic generator set s, +.>
Figure SMS_69
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:
Figure SMS_70
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_72
representing the total output of wind power,/->
Figure SMS_76
Indicating the total output of the photovoltaic system->
Figure SMS_77
Represents the adjustment output of the step hydropower,
Figure SMS_73
indicating total output of thermal power, ++ >
Figure SMS_75
Indicating the discharge power of the hybrid power storage station, < >>
Figure SMS_79
Representing the charging power of the hybrid power storage station, < >>
Figure SMS_80
Representation of
Figure SMS_71
System load at moment; />
Figure SMS_74
Representation->
Figure SMS_78
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:
Figure SMS_81
Figure SMS_82
Figure SMS_83
Figure SMS_84
Figure SMS_85
Figure SMS_86
Figure SMS_87
Figure SMS_88
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_107
indicating the output of the j-th hydropower station in t period,/->
Figure SMS_108
Representing the coefficient of power generation efficiency>
Figure SMS_111
Represents the power generation flow of the j-th hydropower station in t period,>
Figure SMS_89
represents the head of a j-th hydropower station, +.>
Figure SMS_95
Represents the pumping state variable of the hybrid electric power station,
Figure SMS_98
represents the state variable of water discharge of the hybrid power storage station, +.>
Figure SMS_103
Representing the operational state variable of the j-th hydropower station, < >>
Figure SMS_104
Indicating the storage capacity of the j-th hydropower station in t period>
Figure SMS_105
Representing the storage capacity of the j-th hydropower station in the t-1 period +.>
Figure SMS_109
Represents the natural water inflow of the j-th hydropower station in the t period,>
Figure SMS_112
indicating the water rejection of the jth hydropower station in the t period,/-level>
Figure SMS_106
Represents the water extraction of the hybrid power station in the period t, < >>
Figure SMS_110
Indicating the water discharge quantity of the hybrid power station in the t period, < >>
Figure SMS_113
Representing the duration of each period,/-, of>
Figure SMS_114
Representing the variable of the hydropower station,
Figure SMS_92
representing the power generation flow of the j-1-th hydropower station in t period, < >>
Figure SMS_94
Representing the water discarding quantity of the j-1 th hydropower station in the t period; />
Figure SMS_99
Representing the lower limit of the reservoir capacity of the j-th hydropower station, < ->
Figure SMS_102
Indicating the upper limit of the storage capacity of the j-th hydropower station, < - >
Figure SMS_90
Representing the operational state variable of the j-th hydropower station, < >>
Figure SMS_96
Indicating the lower limit of the power generation flow of the j-th hydropower station, < ->
Figure SMS_100
Indicating the upper limit of the power generation flow of the j-th hydropower station, < ->
Figure SMS_101
Representing the lower limit of the pumping flow of the hybrid power storage station, < + >>
Figure SMS_91
Representing the upper limit of the water pumping flow of the hybrid power storage station, < + >>
Figure SMS_93
Indicating the lower limit of the water discharge flow of the hybrid power storage station, < + >>
Figure SMS_97
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:
Figure SMS_115
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_116
representing the total output of wind power,/->
Figure SMS_120
Indicating the total output of the photovoltaic system->
Figure SMS_121
Represents the adjustment output of the step hydropower,
Figure SMS_118
indicating total output of thermal power, ++>
Figure SMS_119
Representation->
Figure SMS_122
System load at moment; />
Figure SMS_123
Representation->
Figure SMS_117
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:
Figure SMS_124
Figure SMS_125
Figure SMS_126
Figure SMS_127
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_138
indicating the output of the j-th hydropower station in t period,/->
Figure SMS_130
Representing the coefficient of power generation efficiency>
Figure SMS_132
Represents the power generation flow of the j-th hydropower station in t period,>
Figure SMS_134
represents the head of a j-th hydropower station, +.>
Figure SMS_139
Indicating the storage capacity of the j-th hydropower station in t period>
Figure SMS_142
Representing the storage capacity of the j-th hydropower station in the t-1 period +.>
Figure SMS_143
Represents the natural water inflow of the j-th hydropower station in the t period,>
Figure SMS_137
indicating the water rejection of the jth hydropower station in the t period,/-level >
Figure SMS_140
Representing the duration of each period,/-, of>
Figure SMS_129
Representing the variable of the hydropower station,
Figure SMS_135
representing the power generation flow of the j-1-th hydropower station in t period, < >>
Figure SMS_128
Representing the lower limit of the reservoir capacity of the j-th hydropower station, < ->
Figure SMS_133
Indicating the upper limit of the storage capacity of the j-th hydropower station, < ->
Figure SMS_136
Representing the operational state variable of the j-th hydropower station, < >>
Figure SMS_141
Indicating the lower limit of the power generation flow of the j-th hydropower station, < ->
Figure SMS_131
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:
step 110, 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.
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.
Step 120, 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 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:
Figure SMS_144
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_145
representing the cost of base operation,/->
Figure SMS_146
Represents the coal consumption cost of the thermal power generating unit, < >>
Figure SMS_147
Indicating the start-stop cost.
Figure SMS_148
Figure SMS_149
Wherein T is the total number of time periods, here 24 hours,
Figure SMS_152
indicating the total number of thermal power stations>
Figure SMS_153
、/>
Figure SMS_155
And->
Figure SMS_150
Coal consumption coefficient of thermal power unit i, < - >
Figure SMS_154
Represents the output of the thermal power unit at the time t +.>
Figure SMS_156
Start-stop state variable of thermal power generating unit i at t time>
Figure SMS_157
Represents the start-stop cost of the thermal power generating unit, < >>
Figure SMS_151
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:
Figure SMS_158
Figure SMS_159
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_163
represents renewable energy waste (i.e. sum of waste wind, waste light power),>
Figure SMS_165
indicates the total period of time,/->
Figure SMS_170
Time of presentationVariable (I)>
Figure SMS_161
Representing the total number of wind farms>
Figure SMS_166
Representing wind farm variables>
Figure SMS_168
Representing wind farm +.>
Figure SMS_172
In period->
Figure SMS_160
The wind power of the wind is left and right>
Figure SMS_167
Representing the total number of photovoltaic power stations->
Figure SMS_171
Representing photovoltaic plant variables, +.>
Figure SMS_173
Representing photovoltaic power station->
Figure SMS_162
In period->
Figure SMS_164
The generated optical power is +.>
Figure SMS_169
The duration of each period is represented, here set to 1h.
The expression of the minimum carbon emission is:
Figure SMS_174
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_175
representing carbon emission costs,/->
Figure SMS_179
Representing the carbon emission cost factor,/->
Figure SMS_182
Representing time variable, +_>
Figure SMS_176
Representing the total number of time periods,/-, and>
Figure SMS_181
representing thermal power station variables>
Figure SMS_184
Indicating the total number of thermal power stations>
Figure SMS_186
、/>
Figure SMS_178
、/>
Figure SMS_183
Respectively indicate pollution emission coefficients corresponding to different coals adopted by the thermal power station, and the units are +.>
Figure SMS_187
、/>
Figure SMS_188
And->
Figure SMS_177
；/>
Figure SMS_180
Indicate->
Figure SMS_185
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:
Figure SMS_189
Figure SMS_190
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_192
the fluctuation of wind, light and water storage combined output force is represented, T represents the total time period number, and the number is +>
Figure SMS_195
Representing time variable, +_>
Figure SMS_197
Representing the total output of wind power (e.g.)>Total wind power output of individual wind power bases),>
Figure SMS_194
represents the total photovoltaic output (e.g.)>
Figure SMS_199
Total photovoltaic output of individual photovoltaic bases), -a photovoltaic total output of individual photovoltaic bases, -a>
Figure SMS_200
Representing the regulated output of the cascade hydropower (e.g., the regulated output of the jth cascade hydropower station), etc>
Figure SMS_193
Indicating the discharge power of the hybrid power storage station, < >>
Figure SMS_196
Representing the charging power of the hybrid power storage station, < >>
Figure SMS_198
And (5) representing the average value of the wind-light output curve after stabilization.
Figure SMS_201
Wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_202
wind power output representing an ith wind power base; />
Figure SMS_203
Photovoltaic output for the ith photovoltaic base, +.>
Figure SMS_204
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:
Figure SMS_205
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_206
the fluctuation of wind, light and water storage combined output force is represented, T represents the total time period number, and the number is +>
Figure SMS_207
Representing time variable, +_>
Figure SMS_208
Representing the total output of wind power,/->
Figure SMS_209
Indicating the total output of the photovoltaic system->
Figure SMS_210
Indicating the regulated force of the step hydropower->
Figure SMS_211
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:
Figure SMS_212
Figure SMS_213
Figure SMS_214
wherein g represents a thermal power unit variable, t represents a time variable,
Figure SMS_216
representing the operating state variable of the thermal power generating unit at the time t, < ->
Figure SMS_219
Representing the minimum output of the thermal power unit g +.>
Figure SMS_223
Represents the maximum output of the thermal power unit g, < +.>
Figure SMS_217
Representing the operating state variable of the thermal power generating unit at the time t, < ->
Figure SMS_220
Indicating the continuous operation time of the thermal power unit g +.>
Figure SMS_221
Represents the minimum on time of the thermal power unit g, < ->
Figure SMS_225
Indicating the continuous down time of the thermal power unit g +.>
Figure SMS_215
Represents the minimum stop time of the thermal power unit g, < ->
Figure SMS_218
Represents the minimum ramp rate of the thermal power unit g, < ->
Figure SMS_222
The output of the thermal power generating unit g in the t-1 period is represented,
Figure SMS_224
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:
Figure SMS_226
Figure SMS_227
wherein w represents the variable of the wind turbine generator,
Figure SMS_228
indicating the output of the wind turbine generator w in the t period, < >>
Figure SMS_229
The upper output limit of the wind turbine generator system w is represented, s represents the variable of the photovoltaic generator system, and +.>
Figure SMS_230
Representing the output of the photovoltaic generator set s, +.>
Figure SMS_231
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
Figure SMS_232
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:
Figure SMS_233
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_235
representing the total output of wind power,/->
Figure SMS_238
Indicating the total output of the photovoltaic system->
Figure SMS_241
Represents the adjustment output of the step hydropower,
Figure SMS_236
indicating total output of thermal power, ++>
Figure SMS_239
Indicating the discharge power of the hybrid power storage station, < >>
Figure SMS_240
Representing the charging power of the hybrid power storage station, < >>
Figure SMS_243
Representation of
Figure SMS_234
Time of dayIs a system load of (1); />
Figure SMS_237
Representation->
Figure SMS_242
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:
Figure SMS_244
Figure SMS_245
Figure SMS_246
Figure SMS_247
Figure SMS_248
Figure SMS_249
Figure SMS_250
Figure SMS_251
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_268
indicating the output of the j-th hydropower station in t period,/->
Figure SMS_271
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 >
Figure SMS_272
Represents the power generation flow of the j-th hydropower station in t period,>
Figure SMS_254
represents the head of a j-th hydropower station, +.>
Figure SMS_256
Representing the pumping state variable of the hybrid power storage station, +.>
Figure SMS_260
Represents the state variable of water discharge of the hybrid power storage station, +.>
Figure SMS_264
Representing the operational state variable of the j-th hydropower station, < >>
Figure SMS_261
Representing the storage capacity of the j-th hydropower station in the period t,
Figure SMS_265
representing the storage capacity of the j-th hydropower station in the t-1 period +.>
Figure SMS_270
Represents the natural water inflow of the j-th hydropower station in the t period,>
Figure SMS_274
indicating the water rejection of the jth hydropower station in the t period,/-level>
Figure SMS_269
Represents the water extraction of the hybrid power station in the period t, < >>
Figure SMS_273
Indicating the water discharge quantity of the hybrid power station in the t period, < >>
Figure SMS_275
Representing the duration of each period,/-, of>
Figure SMS_276
Representing hydropower station variable->
Figure SMS_255
Representing the power generation flow of the j-1-th hydropower station in t period, < >>
Figure SMS_258
Representing the water discarding quantity of the j-1 th hydropower station in the t period; />
Figure SMS_263
Representing the lower limit of the reservoir capacity of the j-th hydropower station, < ->
Figure SMS_266
Indicating the upper limit of the storage capacity of the j-th hydropower station, < ->
Figure SMS_252
Represents the lower limit of the power generation flow of the j-th hydropower station,
Figure SMS_259
indicating the upper limit of the power generation flow of the j-th hydropower station, < ->
Figure SMS_262
Representing the lower limit of the pumping flow of the hybrid power storage station, < + >>
Figure SMS_267
Representing the upper limit of the water pumping flow of the hybrid power storage station, < + >>
Figure SMS_253
Indicating the lower limit of the water discharge flow of the hybrid power storage station, < + >>
Figure SMS_257
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:
Figure SMS_277
Wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_280
representing the total output of wind power,/->
Figure SMS_282
Indicating the total output of the photovoltaic system->
Figure SMS_284
Represents the adjustment output of the step hydropower,
Figure SMS_279
indicating total output of thermal power, ++>
Figure SMS_281
Representation->
Figure SMS_283
System load at moment; />
Figure SMS_285
Representation->
Figure SMS_278
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:
Figure SMS_286
Figure SMS_287
Figure SMS_289
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure SMS_298
indicating the output of the j-th hydropower station in t period,/->
Figure SMS_292
Representing the coefficient of power generation efficiency>
Figure SMS_294
Represents the power generation flow of the j-th hydropower station in t period,>
Figure SMS_293
represents the head of a j-th hydropower station, +.>
Figure SMS_297
Indicating the storage capacity of the j-th hydropower station in t period>
Figure SMS_301
Representing the storage capacity of the j-th hydropower station in the t-1 period +.>
Figure SMS_305
Represents the natural water inflow of the j-th hydropower station in the t period,>
Figure SMS_299
indicating the water rejection of the jth hydropower station in the t period,/-level>
Figure SMS_303
Representing the duration of each period,/-, of>
Figure SMS_290
Representing the variable of the hydropower station,
Figure SMS_296
representing the power generation flow of the j-1-th hydropower station in t period, < >>
Figure SMS_295
Represent the firstj-level hydropower station warehouse capacity lower limit, < +.>
Figure SMS_300
Indicating the upper limit of the storage capacity of the j-th hydropower station, < ->
Figure SMS_302
Representing the operational state variable of the j-th hydropower station, < >>
Figure SMS_304
Indicating the lower limit of the power generation flow of the j-th hydropower station, < ->
Figure SMS_291
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.
Step 130, 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 power dispatching according to the value and the action of the mixed power station; the electric energy is obtained at least through wind power, photovoltaic power, firepower and hydroelectric power generation.
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 (3)

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; the method for constructing the wind, light, water and fire storage optimization scheduling model of the hybrid power station comprises the following steps:
Constructing an objective function of the wind, light, water and fire storage optimization scheduling model of the 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; 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:
Figure QLYQS_1
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_2
representing the cost of base operation,/->
Figure QLYQS_3
Represents the coal consumption cost of the thermal power generating unit, < >>
Figure QLYQS_4
Representing start-stop cost;
the expression of the minimum renewable energy waste amount is as follows:
Figure QLYQS_5
Figure QLYQS_6
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_10
indicating the amount of renewable energy to be discarded, +.>
Figure QLYQS_11
Indicates the total period of time,/->
Figure QLYQS_15
Representing time variable, +_>
Figure QLYQS_8
Representing the total number of wind farms>
Figure QLYQS_14
Representing wind farm variables>
Figure QLYQS_16
Representing wind farm +.>
Figure QLYQS_19
In period->
Figure QLYQS_7
The wind power of the wind is left and right>
Figure QLYQS_13
Represents the total number of the photovoltaic power stations,
Figure QLYQS_18
representing photovoltaic plant variables, +.>
Figure QLYQS_20
Representing photovoltaic power station->
Figure QLYQS_9
In period->
Figure QLYQS_12
The generated optical power is +.>
Figure QLYQS_17
Representing the duration of each period;
the expression of the minimum carbon emission is:
Figure QLYQS_21
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_23
representing carbon emission costs,/->
Figure QLYQS_27
Representing the carbon emission cost factor,/->
Figure QLYQS_32
Representing time variable, +_>
Figure QLYQS_24
Representing the total number of time periods,/-, and >
Figure QLYQS_25
Representing thermal power station variables>
Figure QLYQS_28
Indicating the total number of thermal power stations>
Figure QLYQS_30
、/>
Figure QLYQS_22
、/>
Figure QLYQS_26
Respectively representing pollution emission coefficients corresponding to different coals adopted by the thermal power station; />
Figure QLYQS_29
Indicate->
Figure QLYQS_31
Thermal power output of the personal power station;
the expression with the minimum fluctuation of wind, light and water storage combined output force is as follows:
Figure QLYQS_33
Figure QLYQS_34
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_36
the fluctuation of wind, light and water storage combined output force is represented, T represents the total time period number, and the number is +>
Figure QLYQS_38
Representing time variable, +_>
Figure QLYQS_39
Representing the total output of wind power,/->
Figure QLYQS_37
Indicating the total output of the photovoltaic system->
Figure QLYQS_40
Indicating the regulated force of the step hydropower->
Figure QLYQS_41
Indicating the discharge power of the hybrid power storage station, < >>
Figure QLYQS_42
Representing the charging power of the hybrid power storage station, < >>
Figure QLYQS_35
Representing the average value of the wind-light output curve after stabilization;
constructing constraint conditions of a wind, light, water and fire storage optimization scheduling model of the hybrid power station; the constraint condition is related to system power, cascade hydropower station group coupling operation of a hybrid power storage station, thermal power generating unit operation and wind-light output; 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 system power balance constraint is as follows:
Figure QLYQS_43
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_45
representing the total output of wind power,/->
Figure QLYQS_49
Indicating the total output of the photovoltaic system->
Figure QLYQS_52
Indicating the regulated force of the step hydropower- >
Figure QLYQS_46
Indicating total output of thermal power, ++>
Figure QLYQS_48
Indicating the discharge power of the hybrid power storage station, < >>
Figure QLYQS_51
Representing the charging power of the hybrid power storage station, < >>
Figure QLYQS_53
Representation->
Figure QLYQS_44
System load at moment; />
Figure QLYQS_47
Representation->
Figure QLYQS_50
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:
Figure QLYQS_54
Figure QLYQS_55
Figure QLYQS_56
Figure QLYQS_57
Figure QLYQS_58
Figure QLYQS_59
Figure QLYQS_60
Figure QLYQS_61
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_68
indicating the output of the j-th hydropower station in t period,/->
Figure QLYQS_71
Representing the coefficient of power generation efficiency>
Figure QLYQS_75
Representing power generation of j-th hydropower station in t periodFlow rate of->
Figure QLYQS_67
Represents the head of a j-th hydropower station, +.>
Figure QLYQS_69
Representing the pumping state variable of the hybrid power storage station, +.>
Figure QLYQS_73
Represents the state variable of water discharge of the hybrid power storage station, +.>
Figure QLYQS_77
Representing the operational state variable of the j-th hydropower station, < >>
Figure QLYQS_63
Indicating the storage capacity of the j-th hydropower station in t period>
Figure QLYQS_72
Representing the storage capacity of the j-th hydropower station in the t-1 period +.>
Figure QLYQS_76
Represents the natural water inflow of the j-th hydropower station in the t period,>
Figure QLYQS_80
indicating the water rejection of the jth hydropower station in the t period,/-level>
Figure QLYQS_64
Represents the water extraction of the hybrid power station in the period t, < >>
Figure QLYQS_78
Indicating the water discharge quantity of the hybrid power station in the t period, < >>
Figure QLYQS_81
Representing the duration of each period,/-, of>
Figure QLYQS_82
Representing hydropower station variable->
Figure QLYQS_65
Representing the power generation flow of the j-1-th hydropower station in t period, < >>
Figure QLYQS_74
Representing the water discarding quantity of the j-1 th hydropower station in the t period; />
Figure QLYQS_79
Representing the lower limit of the reservoir capacity of the j-th hydropower station, < ->
Figure QLYQS_86
Indicating the upper limit of the storage capacity of the j-th hydropower station, < - >
Figure QLYQS_62
Indicating the lower limit of the power generation flow of the j-th hydropower station, < ->
Figure QLYQS_83
Indicating the upper limit of the power generation flow of the j-th hydropower station, < ->
Figure QLYQS_84
Representing the lower limit of the pumping flow of the hybrid power storage station, < + >>
Figure QLYQS_85
Representing the upper limit of the water pumping flow of the hybrid power storage station, < + >>
Figure QLYQS_66
Indicating the lower limit of the water discharge flow of the hybrid power storage station, < + >>
Figure QLYQS_70
Representing the upper limit of discharge flow of the hybrid power storage station;
the expression of the thermal power generating unit operation constraint is as follows:
Figure QLYQS_87
Figure QLYQS_88
Figure QLYQS_89
wherein g represents a thermal power unit variable, t represents a time variable,
Figure QLYQS_93
indicating the output of the thermal power generating unit g in the t period, < ->
Figure QLYQS_96
Representing the running state variable of the thermal power generating unit at the time t, < ->
Figure QLYQS_100
Representing the minimum output of the thermal power unit g +.>
Figure QLYQS_91
Represents the maximum output of the thermal power unit g, < +.>
Figure QLYQS_95
Representing the operating state variables of the thermal power generating unit at time t-1,/for>
Figure QLYQS_98
Indicating the continuous operation time of the thermal power unit g +.>
Figure QLYQS_101
Represents the minimum on time of the thermal power unit g, < ->
Figure QLYQS_90
Indicating the continuous down time of the thermal power unit g +.>
Figure QLYQS_94
Represents the minimum stop time of the thermal power unit g, < ->
Figure QLYQS_97
Represents the minimum ramp rate of the thermal power unit g, < ->
Figure QLYQS_99
Indicating the output of the thermal power generating unit g in the t-1 period,/->
Figure QLYQS_92
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:
Figure QLYQS_102
Figure QLYQS_103
wherein w represents the variable of the wind turbine generator,
Figure QLYQS_104
indicating the output of the wind turbine generator w in the t period, < > >
Figure QLYQS_105
The upper output limit of the wind turbine generator system w is represented, s represents the variable of the photovoltaic generator system, and +.>
Figure QLYQS_106
Representing the output of the photovoltaic generator set s, +.>
Figure QLYQS_107
Representing the upper output limit of the photovoltaic generator set s; constructing a wind, light, water and fire optimal scheduling model of the non-mixed power station; wind, light, water and fire optimization adjustment of the non-mixed power stationThe degree model is used for acquiring wind-solar water-based operation parameters of the cascade hydropower station in an unmixed power storage station mode based on the input data; the construction of the wind, light, water and fire optimal scheduling model of the non-mixed power station comprises the following steps:
constructing an objective function of the wind, light, water and fire optimal scheduling model of the non-mixed 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; 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:
Figure QLYQS_108
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_109
representing the cost of base operation,/->
Figure QLYQS_110
Represents the coal consumption cost of the thermal power generating unit, < >>
Figure QLYQS_111
Representing start-stop cost;
the expression of the minimum renewable energy waste amount is as follows:
Figure QLYQS_112
Figure QLYQS_113
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_117
representing renewable energy sources Discarding amount of->
Figure QLYQS_119
Indicates the total period of time,/->
Figure QLYQS_127
Representing time variable, +_>
Figure QLYQS_116
Representing the total number of wind farms>
Figure QLYQS_118
Representing wind farm variables>
Figure QLYQS_122
Representing wind farm +.>
Figure QLYQS_125
In period->
Figure QLYQS_114
The wind power of the wind is left and right>
Figure QLYQS_120
Represents the total number of the photovoltaic power stations,
Figure QLYQS_124
representing photovoltaic plant variables, +.>
Figure QLYQS_126
Representing photovoltaic power station->
Figure QLYQS_115
In period->
Figure QLYQS_121
The generated optical power is +.>
Figure QLYQS_123
Representing the duration of each period;
the expression of the minimum carbon emission is:
Figure QLYQS_128
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_130
representing carbon emission costs,/->
Figure QLYQS_132
Representing the carbon emission cost factor,/->
Figure QLYQS_135
Representing time variable, +_>
Figure QLYQS_131
Representing the total number of time periods,/-, and>
Figure QLYQS_133
representing thermal power station variables>
Figure QLYQS_136
Indicating the total number of thermal power stations>
Figure QLYQS_139
、/>
Figure QLYQS_129
、/>
Figure QLYQS_134
Respectively representing pollution emission coefficients corresponding to different coals adopted by the thermal power station; />
Figure QLYQS_137
Indicate->
Figure QLYQS_138
Of a personal power stationThermal power output;
the expression with the minimum fluctuation of wind, light and water storage combined output force is as follows:
Figure QLYQS_140
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_141
the fluctuation of wind, light and water storage combined output force is represented, T represents the total time period number, and the number is +>
Figure QLYQS_142
Representing time variable, +_>
Figure QLYQS_143
Representing the total output of wind power,/->
Figure QLYQS_144
Indicating the total output of the photovoltaic system->
Figure QLYQS_145
Indicating the regulated force of the step hydropower->
Figure QLYQS_146
Representing the average value of the wind-light output curve after stabilization;
constructing constraint conditions of the wind, light, water and fire optimal scheduling model of the non-mixed power station; the constraint condition is related to system power, cascade hydropower station group coupling operation of a hybrid power storage station, thermal power generating unit operation and wind-light output; 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 system power balance constraint is as follows:
Figure QLYQS_147
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_149
representing the total output of wind power,/->
Figure QLYQS_151
Indicating the total output of the photovoltaic system->
Figure QLYQS_152
Indicating the regulated force of the step hydropower->
Figure QLYQS_150
Indicating total output of thermal power, ++>
Figure QLYQS_153
Representation->
Figure QLYQS_154
System load at moment; />
Figure QLYQS_155
Representation->
Figure QLYQS_148
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:
Figure QLYQS_156
Figure QLYQS_157
Figure QLYQS_158
Figure QLYQS_159
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_167
indicating the output of the j-th hydropower station in t period,/->
Figure QLYQS_163
Representing the coefficient of power generation efficiency>
Figure QLYQS_170
Represents the power generation flow of the j-th hydropower station in t period,>
Figure QLYQS_161
represents the head of a j-th hydropower station, +.>
Figure QLYQS_174
Representing the storage capacity of the j-th hydropower station in the period t,
Figure QLYQS_172
representing the storage capacity of the j-th hydropower station in the t-1 period +.>
Figure QLYQS_175
Represents the natural water inflow of the j-th hydropower station in the t period,>
Figure QLYQS_165
indicating the water rejection of the jth hydropower station in the t period,/-level>
Figure QLYQS_173
Representing the duration of each period,/-, of>
Figure QLYQS_160
Representing hydropower station variable->
Figure QLYQS_169
Represent the firstGenerating flow of j-1 level hydropower station in t period, < > and the like>
Figure QLYQS_164
Representing the lower limit of the reservoir capacity of the j-th hydropower station, < ->
Figure QLYQS_168
Indicating the upper limit of the storage capacity of the j-th hydropower station, < ->
Figure QLYQS_166
Representing the operational state variable of the j-th hydropower station, < >>
Figure QLYQS_171
Indicating the lower limit of the power generation flow of the j-th hydropower station, < ->
Figure QLYQS_162
Representing the upper limit of the power generation flow of the j-th hydropower station;
the expression of the thermal power generating unit operation constraint is as follows:
Figure QLYQS_176
Figure QLYQS_177
Figure QLYQS_178
Wherein g represents a thermal power unit variable, t represents a time variable,
Figure QLYQS_181
indicating the output of the thermal power generating unit g in the t period, < ->
Figure QLYQS_184
Representing the running state variable of the thermal power generating unit at the time t, < ->
Figure QLYQS_186
Representing the minimum output of the thermal power unit g +.>
Figure QLYQS_182
Represents the maximum output of the thermal power unit g, < +.>
Figure QLYQS_183
Representing the operating state variables of the thermal power generating unit at time t-1,/for>
Figure QLYQS_185
Indicating the continuous operation time of the thermal power unit g +.>
Figure QLYQS_188
Represents the minimum on time of the thermal power unit g, < ->
Figure QLYQS_179
Indicating the continuous down time of the thermal power unit g +.>
Figure QLYQS_187
Represents the minimum stop time of the thermal power unit g, < ->
Figure QLYQS_189
Represents the minimum ramp rate of the thermal power unit g, < ->
Figure QLYQS_190
Indicating the output of the thermal power generating unit g in the t-1 period,/->
Figure QLYQS_180
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:
Figure QLYQS_191
Figure QLYQS_192
wherein w represents the variable of the wind turbine generator,
Figure QLYQS_193
indicating the output of the wind turbine generator w in the t period, < >>
Figure QLYQS_194
The upper output limit of the wind turbine generator system w is represented, s represents the variable of the photovoltaic generator system, and +.>
Figure QLYQS_195
Representing the output of the photovoltaic generator set s, +.>
Figure QLYQS_196
Representing the upper output limit of the photovoltaic generator set s;
the input data comprise load data, hydropower processing characteristic data, wind-light output characteristic data and hydropower unit data;
the wind-light water-based operation parameters in the hybrid power station mode and the wind-light 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;
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 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 method for constructing the wind, light, water and fire storage optimization scheduling model of the hybrid power station comprises the following steps:
Constructing an objective function of the wind, light, water and fire storage optimization scheduling model of the 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; 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:
Figure QLYQS_197
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_198
representing the cost of base operation,/->
Figure QLYQS_199
Represents the coal consumption cost of the thermal power generating unit, < >>
Figure QLYQS_200
Representing start-stop cost;
the expression of the minimum renewable energy waste amount is as follows:
Figure QLYQS_201
Figure QLYQS_202
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_205
indicating the amount of renewable energy to be discarded, +.>
Figure QLYQS_208
Indicates the total period of time,/->
Figure QLYQS_212
Representing time variable, +_>
Figure QLYQS_204
Representing the total number of wind farms>
Figure QLYQS_209
Representing wind farm variables>
Figure QLYQS_214
Representing wind farm +.>
Figure QLYQS_216
In period->
Figure QLYQS_203
The wind power of the wind is left and right>
Figure QLYQS_207
Representation ofThe total number of the photovoltaic power stations,
Figure QLYQS_211
representing photovoltaic plant variables, +.>
Figure QLYQS_215
Representing photovoltaic power station->
Figure QLYQS_206
In period->
Figure QLYQS_210
The generated optical power is +.>
Figure QLYQS_213
Representing the duration of each period;
the expression of the minimum carbon emission is:
Figure QLYQS_217
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_219
representing carbon emission costs,/->
Figure QLYQS_227
Representing the carbon emission cost factor,/->
Figure QLYQS_228
Representing time variable, +_>
Figure QLYQS_220
Representing the total number of time periods,/-, and >
Figure QLYQS_221
Representing thermal power station variables>
Figure QLYQS_223
Indicating the total number of thermal power stations>
Figure QLYQS_225
、/>
Figure QLYQS_218
、/>
Figure QLYQS_222
Respectively representing pollution emission coefficients corresponding to different coals adopted by the thermal power station; />
Figure QLYQS_224
Indicate->
Figure QLYQS_226
Thermal power output of the personal power station;
the expression with the minimum fluctuation of wind, light and water storage combined output force is as follows:
Figure QLYQS_229
Figure QLYQS_230
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_232
the fluctuation of wind, light and water storage combined output force is represented, T represents the total time period number, and the number is +>
Figure QLYQS_235
Representing time variable, +_>
Figure QLYQS_236
Representing the total output of wind power,/->
Figure QLYQS_233
Indicating the total output of the photovoltaic system->
Figure QLYQS_234
Indicating the regulated force of the step hydropower->
Figure QLYQS_237
Indicating the discharge power of the hybrid power storage station, < >>
Figure QLYQS_238
Representing the charging power of the hybrid power storage station, < >>
Figure QLYQS_231
Representing the average value of the wind-light output curve after stabilization;
constructing constraint conditions of a wind, light, water and fire storage optimization scheduling model of the hybrid power station; the constraint condition is related to system power, cascade hydropower station group coupling operation of a hybrid power storage station, thermal power generating unit operation and wind-light output; 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 system power balance constraint is as follows:
Figure QLYQS_239
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_242
representing the total output of wind power,/->
Figure QLYQS_243
Indicating the total output of the photovoltaic system->
Figure QLYQS_245
Indicating the regulated force of the step hydropower- >
Figure QLYQS_241
Indicating total output of thermal power, ++>
Figure QLYQS_244
Indicating the discharge power of the hybrid power storage station, < >>
Figure QLYQS_247
Representing the charging power of the hybrid power storage station, < >>
Figure QLYQS_249
Representation->
Figure QLYQS_240
System load at moment; />
Figure QLYQS_246
Representation->
Figure QLYQS_248
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:
Figure QLYQS_250
Figure QLYQS_251
Figure QLYQS_252
Figure QLYQS_253
Figure QLYQS_254
Figure QLYQS_255
Figure QLYQS_256
Figure QLYQS_257
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_262
indicating the output of the j-th hydropower station in t period,/->
Figure QLYQS_265
Representing the coefficient of power generation efficiency>
Figure QLYQS_273
Represents the power generation flow of the j-th hydropower station in t period,>
Figure QLYQS_261
represents the head of a j-th hydropower station, +.>
Figure QLYQS_270
Representing the pumping state variable of the hybrid power storage station, +.>
Figure QLYQS_277
Represents the state variable of water discharge of the hybrid power storage station, +.>
Figure QLYQS_280
Representing the operational state variable of the j-th hydropower station, < >>
Figure QLYQS_260
Indicating the storage capacity of the j-th hydropower station in t period>
Figure QLYQS_269
Representing the storage capacity of the j-th hydropower station in the t-1 period +.>
Figure QLYQS_275
Represents the natural water inflow of the j-th hydropower station in the t period,>
Figure QLYQS_278
indicating the water rejection of the jth hydropower station in the t period,/-level>
Figure QLYQS_263
Represents the water extraction of the hybrid power station in the period t, < >>
Figure QLYQS_279
Indicating the water discharge quantity of the hybrid power station in the t period, < >>
Figure QLYQS_281
Representing the duration of each period,/-, of>
Figure QLYQS_282
Representing hydropower station variable->
Figure QLYQS_264
Representing the power generation flow of the j-1-th hydropower station in t period, < >>
Figure QLYQS_267
Representing the water discarding quantity of the j-1 th hydropower station in the t period; />
Figure QLYQS_271
Representing the lower limit of the reservoir capacity of the j-th hydropower station, < ->
Figure QLYQS_276
Indicating the upper limit of the storage capacity of the j-th hydropower station, < - >
Figure QLYQS_258
Representing the power generation flow of the j-th hydropower stationLower limit (S)>
Figure QLYQS_268
Indicating the upper limit of the power generation flow of the j-th hydropower station, < ->
Figure QLYQS_272
Representing the lower limit of the pumping flow of the hybrid power storage station, < + >>
Figure QLYQS_274
Representing the upper limit of the water pumping flow of the hybrid power storage station, < + >>
Figure QLYQS_259
Indicating the lower limit of the water discharge flow of the hybrid power storage station, < + >>
Figure QLYQS_266
Representing the upper limit of discharge flow of the hybrid power storage station;
the expression of the thermal power generating unit operation constraint is as follows:
Figure QLYQS_283
Figure QLYQS_284
Figure QLYQS_285
wherein g represents a thermal power unit variable, t represents a time variable,
Figure QLYQS_287
indicating the output of the thermal power generating unit g in the t period, < ->
Figure QLYQS_291
Representing the running state variable of the thermal power generating unit at the time t, < ->
Figure QLYQS_293
Representing the minimum output of the thermal power unit g +.>
Figure QLYQS_288
Represents the maximum output of the thermal power unit g, < +.>
Figure QLYQS_292
Representing the operating state variables of the thermal power generating unit at time t-1,/for>
Figure QLYQS_294
Indicating the continuous operation time of the thermal power unit g +.>
Figure QLYQS_296
Represents the minimum on time of the thermal power unit g, < ->
Figure QLYQS_286
Indicating the continuous down time of the thermal power unit g +.>
Figure QLYQS_290
Represents the minimum stop time of the thermal power unit g, < ->
Figure QLYQS_295
Represents the minimum ramp rate of the thermal power unit g, < ->
Figure QLYQS_297
Indicating the output of the thermal power generating unit g in the t-1 period,/->
Figure QLYQS_289
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:
Figure QLYQS_298
Figure QLYQS_299
wherein w represents the variable of the wind turbine generator,
Figure QLYQS_300
indicating the output of the wind turbine generator w in the t period, < > >
Figure QLYQS_301
The upper output limit of the wind turbine generator system w is represented, s represents the variable of the photovoltaic generator system, and +.>
Figure QLYQS_302
Representing the output of the photovoltaic generator set s, +.>
Figure QLYQS_303
Representing the upper output limit of the photovoltaic generator set s;
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 construction of the wind, light, water and fire optimal scheduling model of the non-mixed power station comprises the following steps:
constructing an objective function of the wind, light, water and fire optimal scheduling model of the non-mixed 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; 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:
Figure QLYQS_304
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_305
representing the cost of base operation,/->
Figure QLYQS_306
Represents the coal consumption cost of the thermal power generating unit, < >>
Figure QLYQS_307
Representing start-stop cost;
the expression of the minimum renewable energy waste amount is as follows:
Figure QLYQS_308
Figure QLYQS_309
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_310
indicating the amount of renewable energy to be discarded, +.>
Figure QLYQS_315
Indicates the total period of time,/->
Figure QLYQS_316
Representing time variable, +_>
Figure QLYQS_313
Representing a wind farmTotal number (S)/(S)>
Figure QLYQS_314
Representing wind farm variables>
Figure QLYQS_317
Representing wind farm +.>
Figure QLYQS_320
In period->
Figure QLYQS_311
The wind power of the wind is left and right>
Figure QLYQS_319
Represents the total number of the photovoltaic power stations,
Figure QLYQS_322
representing photovoltaic plant variables, +.>
Figure QLYQS_323
Representing photovoltaic power station->
Figure QLYQS_312
In period->
Figure QLYQS_318
The generated optical power is +.>
Figure QLYQS_321
Representing the duration of each period;
the expression of the minimum carbon emission is:
Figure QLYQS_324
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_326
representing carbon emission costs,/->
Figure QLYQS_329
Representing the carbon emission cost factor,/->
Figure QLYQS_333
Representing time variable, +_>
Figure QLYQS_327
Representing the total number of time periods,/-, and>
Figure QLYQS_330
representing thermal power station variables>
Figure QLYQS_332
Indicating the total number of thermal power stations>
Figure QLYQS_334
、/>
Figure QLYQS_325
、/>
Figure QLYQS_328
Respectively representing pollution emission coefficients corresponding to different coals adopted by the thermal power station; />
Figure QLYQS_331
Indicate->
Figure QLYQS_335
Thermal power output of the personal power station;
the expression with the minimum fluctuation of wind, light and water storage combined output force is as follows:
Figure QLYQS_336
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_337
the fluctuation of wind, light and water storage combined output force is represented, T represents the total time period number, and the number is +>
Figure QLYQS_338
Representing time variable, +_>
Figure QLYQS_339
Representing the total output of wind power,/- >
Figure QLYQS_340
Indicating the total output of the photovoltaic system->
Figure QLYQS_341
Indicating the regulated force of the step hydropower->
Figure QLYQS_342
Representing the average value of the wind-light output curve after stabilization;
constructing constraint conditions of the wind, light, water and fire optimal scheduling model of the non-mixed power station; the constraint condition is related to system power, cascade hydropower station group coupling operation of a hybrid power storage station, thermal power generating unit operation and wind-light output; 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 system power balance constraint is as follows:
Figure QLYQS_343
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_346
representing the total output of wind power,/->
Figure QLYQS_348
Indicating the total output of the photovoltaic system->
Figure QLYQS_349
Indicating the regulated force of the step hydropower->
Figure QLYQS_345
Indicating total output of thermal power, ++>
Figure QLYQS_347
Representation->
Figure QLYQS_350
System load at moment; />
Figure QLYQS_351
Representation->
Figure QLYQS_344
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:
Figure QLYQS_352
Figure QLYQS_353
Figure QLYQS_354
Figure QLYQS_355
wherein, the liquid crystal display device comprises a liquid crystal display device,
Figure QLYQS_366
indicating the output of the j-th hydropower station in t period,/->
Figure QLYQS_361
Representing the coefficient of power generation efficiency>
Figure QLYQS_370
Represents the power generation flow of the j-th hydropower station in t period,>represents the head of a j-th hydropower station, +.>
Figure QLYQS_365
Representing the storage capacity of the j-th hydropower station in the period t,
Figure QLYQS_363
representing the storage capacity of the j-th hydropower station in the t-1 period +. >
Figure QLYQS_369
Represents the natural water inflow of the j-th hydropower station in the t period,>
Figure QLYQS_362
indicating the water rejection of the jth hydropower station in the t period,/-level>
Figure QLYQS_367
Representing the duration of each period,/-, of>
Figure QLYQS_356
Representing hydropower station variable->
Figure QLYQS_368
Representing the power generation flow of the j-1-th hydropower station in t period, < >>
Figure QLYQS_358
Representing the lower limit of the reservoir capacity of the j-th hydropower station, < ->
Figure QLYQS_371
Indicating the upper limit of the storage capacity of the j-th hydropower station, < ->
Figure QLYQS_357
Representing the operational state variable of the j-th hydropower station, < >>
Figure QLYQS_364
Indicating the lower limit of the power generation flow of the j-th hydropower station, < ->
Figure QLYQS_360
Representing the upper limit of the power generation flow of the j-th hydropower station;
the expression of the thermal power generating unit operation constraint is as follows:
Figure QLYQS_372
Figure QLYQS_373
Figure QLYQS_374
wherein g represents a thermal power unit variable, t represents a time variable,
Figure QLYQS_376
indicating the output of the thermal power generating unit g in the t period, < ->
Figure QLYQS_379
Representing the running state variable of the thermal power generating unit at the time t, < ->
Figure QLYQS_384
Representing the minimum output of the thermal power unit g +.>
Figure QLYQS_378
Represents the maximum output of the thermal power unit g, < +.>
Figure QLYQS_381
Representing the operating state variables of the thermal power generating unit at time t-1,/for>
Figure QLYQS_383
Indicating the continuous operation time of the thermal power unit g +.>
Figure QLYQS_386
Represents the minimum on time of the thermal power unit g, < ->
Figure QLYQS_375
Indicating the continuous down time of the thermal power unit g +.>
Figure QLYQS_380
Represents the minimum stop time of the thermal power unit g, < ->
Figure QLYQS_382
Represents the minimum ramp rate of the thermal power unit g, < ->
Figure QLYQS_385
Indicating the output of the thermal power generating unit g in the t-1 period,/- >
Figure QLYQS_377
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:
Figure QLYQS_387
Figure QLYQS_388
wherein w represents the variable of the wind turbine generator,
Figure QLYQS_389
output of wind turbine generator set w in t periodForce (I) of>
Figure QLYQS_390
The upper output limit of the wind turbine generator system w is represented, s represents the variable of the photovoltaic generator system, and +.>
Figure QLYQS_391
Representing the output of the photovoltaic generator set s, +.>
Figure QLYQS_392
Representing the upper output limit of the photovoltaic generator set s;
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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