CN112234604A - Multi-energy complementary power supply base optimal configuration method, storage medium and equipment - Google Patents
Multi-energy complementary power supply base optimal configuration method, storage medium and equipment Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- 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
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- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
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- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
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- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
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Abstract
The invention discloses a multi-energy complementary power supply base optimal configuration method, a storage medium and equipment, wherein basic data of a composite power station, power plant data in the composite power station and operation prediction data of the composite power station are obtained from power supply bases and relevant departments of a power system; constructing a multi-energy complementary power supply optimization configuration model target by taking multi-aspect comprehensive cost of the minimized composite power station planning operation as a target function; constructing constraint conditions of optimal configuration of the composite power station; and inputting the acquired data into an optimal configuration model based on the established objective function and the established optimal configuration constraint condition of the composite power station, and solving to obtain a configuration result of the composite power station. The method takes the minimized comprehensive cost in multiple aspects as the target, fully considers the internal strategy and the external characteristics of the power base, the whole power station and the unit characteristics, considers the physical reality and the mathematical simplification of the optimization problem, can quickly and accurately solve the optimization configuration of the complementary power supply in the power base, and has guiding significance for planners.
Description
Technical Field
The invention belongs to the technical field of power supply planning, and particularly relates to an optimal configuration method, a storage medium and equipment for a multi-energy complementary power supply base, which are used for determining a reasonable configuration scheme of the multi-energy complementary power supply in the power supply base.
Background
The high-speed development of new energy, and the phenomena of wind abandonment, light abandonment and water abandonment of a power supply base cause high attention. With the trend of diversified development of power supplies, the problem of optimizing the delivery characteristics of power supply bases by cooperatively developing various complementary power supplies by relying on the advantage that various resources are enriched in various large power supply bases in China becomes a problem of wide attention at present. Therefore, a method for optimizing and configuring the power capacity of a multi-energy complementary power source is needed to optimize the energy structure and improve the consumption of new energy.
The existing research for coping with the optimal configuration of the multi-energy complementary power supply optimizes the capacity of a complementary system from different complementary angles, and determines the production scale of each type of equipment. The method has the problems that the researches are only developed based on specific complementary forms of wind-light-water, wind-light-heat or wind-electricity-pumped storage and the like, and the application has limitation. In order to adapt to the increase of complementary power types, a more general optimal configuration method needs to be researched.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a method, a storage medium, and a device for optimizing configuration of a multi-energy complementary power supply base, which are directed to the above-mentioned deficiencies in the prior art, and provide a concept of a composite power station, and establish a multi-energy complementary power supply optimizing configuration model that comprehensively considers resource conditions, system multi-energy complementary characteristics, and external planning requirements, so as to meet the requirements of planning staff on economy, reliability, environmental protection, flexibility, and power supply complementarity.
The invention adopts the following technical scheme:
a multi-energy complementary power supply base optimal configuration method comprises the following steps:
s1, acquiring basic data of the composite power station, power plant data in the composite power station and operation prediction data of the composite power station from a power base and relevant departments of a power system;
s2, constructing a multi-energy complementary power supply optimization configuration model target by taking multi-aspect comprehensive cost of the minimized composite power station planning operation as a target function;
s3, constructing a composite power station planning decision constraint condition, a composite power station overall operation constraint condition, an intermittent power supply operation constraint in the composite power station, a flexible power supply operation constraint in the composite power station and an external characteristic constraint of the composite power station;
and S4, inputting the data obtained in the step S1 into an optimized configuration model based on the objective function established in the step S2 and the optimized configuration constraint condition of the compound power station established in the step S3, and solving to obtain a configuration result of the compound power station.
Specifically, in step S1, the composite power station basic data includes: capacity of outgoing channel Capline(ii) a Minimum utilization μ of intermittent resources; planned output curve of a composite power station
Plant data within a compound power plant, comprising: the number K of units of each power plant; unit investment cost C of each power plant unitinvAnd unit operating cost Cope(ii) a Operating parameters of each power plant unit; composite plant operational prediction data comprising: the incoming telegram quantity W of the hydropower station; predicted output curve P of wind farmpre,WT(t); predicted output curve P of photovoltaic power stationpre,PV(t)。
Specifically, in step S2, the optimal configuration model target V of the multi-energy complementary power supply is:
wherein ,ΩCThe method comprises the following steps of (1) providing a set of power plants to be built;
Kirespectively representing the number of units to be built and all available units of the ith power plant; CRFiThe capital recovery factor for the ith plant;
the investment cost and the operation cost of a single unit of the ith power plant are respectively determined by the output state of each power plant;
for the assessment of the output deviation of the h-composite power stationThe volume calculation method is described in detail below; and T is the simulation time length.
Specifically, in step S3, the constraint condition of the composite power station planning decision includes a resource condition constraint; the overall operation constraint conditions of the composite power station comprise outgoing power range constraint and multi-energy complementary operation strategy constraint of the composite power station; the intermittent power supply operation constraints in the compound power station comprise wind power plant operation constraints and photovoltaic power station operation constraints; the operation constraints of the flexible power supply in the composite power station comprise the operation constraints of a thermal power generating unit, the operation constraints of a hydroelectric generating unit, the operation constraints of an energy storage element and the operation constraints of a photo-thermal power station; external characteristic constraints of a hybrid power station include capacity characteristics, electricity characteristics, reliability, flexibility, and environmental protection.
Further, the outgoing power range constraint of the hybrid power station is expressed as:
wherein ,
the output of the composite power station at the moment h;
the multi-energy complementary operating strategy constraints include:
the peak shaver characteristic constraint is expressed as:
wherein ,
the output deviation assessment cost of the composite power station at the h moment is obtained; lambda (P) is the unit power deviation assessment cost of the composite power station, a sectional assessment mode is adopted, and the assessment cost is correspondingly increased when the output deviation is largerThe higher the use;
the planned output at the moment h; deltamaxIndicating a set allowable maximum output deviation;
the ripple characteristic constraint is expressed as:
wherein ,CaplineThe capacity of the outward channel of the composite power station; epsilon is the proportion of the maximum allowable outgoing power variation of the composite power station in unit time to the transmission capacity of an outgoing channel;
the intermittent new energy consumption constraint is expressed as:
wherein ,ΩIPIs a set of intermittent power sources; t is the simulation duration; mu is the minimum utilization rate of intermittent resources;
the predicted output of the power plant i at the moment h is obtained;
the outgoing channel minimum utilization constraint is expressed as:
wherein ,
is the minimum annual average utilization of the outgoing channel.
Further, the operating constraints of the wind farm and the photovoltaic power plant are expressed as:
wherein ,vh、IhRespectively representing the wind speed and the illumination intensity at the h moment;
respectively representing power characteristic conversion functions of wind power and photovoltaic power;
respectively representing the abandoned wind and abandoned light power of the power plant i at the moment h; omegaWT、ΩPVRepresenting a collection of wind farms and photovoltaic power plants, respectively.
Further, the capacity characteristic is expressed as:
wherein ,CapCPP,creditIs the confidence capacity of the composite power station; b ispeakIs a set of peak-to-charge periods; t ispeakIs the duration of the peak load period;
the electrical quantity characteristic is expressed as:
wherein ,ECPPGenerating capacity of the composite power station in an analog time period;
the reliability is expressed as:
wherein ,XCPPThe output state variable of the composite power station;
representing the s output state of the composite power station;
indicating the composite power station output state as
The probability of (d); NS (server)CPPThe number of the output states of the composite power station;
the flexibility includes:
the climbing capacity is as follows:
wherein ,BupA set representing load rise periods; t isupIndicating the length of the load rise period.
Ability to descend slopes, in particular
wherein ,BdownA set representing load drop periods; t isdownIndicating the length of the load drop period;
providing positive standby capacity, specifically:
wherein ,BpeakA set representing peak load periods; t ispeakRepresents the length of the load peak period; omegaFPRepresenting a collection of flexible power plants;
representing the maximum output which can be provided by the ith power plant at the h moment;
the method provides negative standby capacity, and specifically comprises the following steps:
wherein ,BvalleyA set representing load trough periods; t isvalleyRepresenting the length of the load valley period;
representing the minimum output which can be provided by the ith power plant at the moment h;
the environmental protection property is specifically as follows:
wherein ,
representing the emissions of the complex plant pollutant x during the simulation period; omegaFIs a collection of fuel power sources; f (P)i,h) Is a fuel consumption characteristic function of the power plant i; o isi,xIs the emission equivalent of pollutant x of power plant i.
Specifically, in step S4, the solution result includes: the method comprises the steps of (1) a unit production scheme of each power plant to be selected in the composite power station, the output of each power plant in the composite power station in a simulation period, and the planning and operating cost of the composite power station; and after the exact configuration and operation strategy of the composite power station are obtained, calculating the capacity characteristic, the electric quantity characteristic, the reliability, the flexibility and the environmental protection property of the composite power station.
Another aspect of the invention is a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform any of the methods described.
Another aspect of the present invention is a computing device, including:
one or more processors, memory, and one or more programs stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods.
Compared with the prior art, the invention has at least the following beneficial effects:
the invention discloses an optimal configuration method of a multi-energy complementary power supply base, aiming at the optimal configuration problem of the multi-energy complementary power supply base, an intermittent power supply and a flexible power supply in the power supply base are bundled and optimized and equivalent to a compound power station. On the basis of the operating characteristics of various power supplies, the influence of resource conditions, the system multipotency complementation characteristic and the external transmission capacity requirement is considered, and an optimal configuration method based on a composite power station is provided, so that a power supply base presents a relatively single power supply structure or a comprehensive technical characteristic with better pairwise complementation to the outside, the optimal economy of a complementary system is realized, and the method has important guiding significance for power supply base planning under the background of new energy high-proportion grid connection and multipotency complementation.
Furthermore, data are collected according to the listed data list, so that the data required by the method can be comprehensively collected, and the smooth proceeding of the subsequent steps is ensured.
Furthermore, in consideration of various costs of the composite power station in the process of construction and operation, an optimization function with the aim of minimizing comprehensive cost in multiple aspects is established, so that the optimal configuration of various power sources is economically optimal.
Furthermore, based on various power supply characteristics and system planning requirements, a linear constraint condition which gives consideration to internal strategies and external characteristics of the composite power station and characteristics of the whole power station and the unit is constructed, and physical characteristics are fully reflected while mathematical calculation is simplified.
Furthermore, considering the transmission capability of the tie lines between the compound power station and the external power grid, the tie lines are simplified and processed into a uniform outgoing channel, and the outgoing power of the compound power station is limited by the capacity of the outgoing channel.
Furthermore, in order to fully reflect the fluctuation of wind energy and photovoltaic resources in the optimization process, the relation between the generated energy of the new energy and the electric quantity abandoned is represented, and the operation of the wind power plant and the photovoltaic power station is restrained.
Furthermore, in order to reduce the calculation scale, the operation results of the composite power station under a set operation strategy are counted, a simplified calculation method of indexes such as electric quantity, capacity and climbing is provided, and external characteristics of the composite power station are restrained for planning personnel to select and use.
Furthermore, after the mixed integer linear programming model constructed by the method is solved to obtain the production and operation results of the unit, the capacity characteristic, the electric quantity characteristic, the reliability, the flexibility and the environmental protection performance of the composite power station as a whole are calculated, and the indexes provide guidance for the planning of the power supply of the large system comprising the composite power station.
In conclusion, the invention aims at minimizing comprehensive cost in multiple aspects, fully considers the internal strategy and external characteristics of the power base, the whole power station and the unit characteristics, considers the physical reality and mathematical simplification of the optimization problem, can quickly and accurately solve the optimal configuration of the complementary power supply in the power base, and has guiding significance for planners.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a four-season typical solar output curve of a hydroelectric-wind-photovoltaic composite power station, wherein (a) is a spring typical day curve, (b) is a summer typical day curve, (c) is a fall typical day curve, and (d) is a winter typical day curve;
fig. 3 is a typical four-season solar output curve of the photovoltaic-photothermal composite power station, wherein (a) is a typical spring day curve, (b) is a typical summer day curve, (c) is a typical autumn day curve, and (d) is a typical winter day curve.
Detailed Description
Referring to fig. 1, the present invention provides a method for optimally configuring a multi-energy complementary power supply base, including the following steps:
s1, acquiring required data from the power supply base and relevant departments of the power system;
composite power plant base data comprising: capacity of outgoing channel Capline(ii) a Minimum utilization μ of intermittent resources; planned output curve of a composite power station
Plant data within a compound power plant, comprising: the number K of units of each power plant; unit investment cost C of each power plant unitinvAnd unit operating cost Cope(ii) a And operating parameters of each power plant unit.
Composite plant operational prediction data comprising: the incoming telegram quantity W of the hydropower station; predicted output curve P of wind farmpre,WT(t); predicted output curve P of photovoltaic power stationpre,PV(t)。
S2, constructing a multi-energy complementary power supply optimization configuration model target by taking multi-aspect comprehensive cost of the minimized composite power station planning operation as a target function;
wherein ,ΩCThe method comprises the following steps of (1) providing a set of power plants to be built;
Kirespectively representing the number of units to be built and all available units of the ith power plant; CRFiThe capital recovery factor for the ith plant;
the investment cost and the operation cost of a single unit of the ith power plant are respectively determined by the output state of each power plant;
for h composite power station output deviation assessment cost, the specific calculation method is described in detail below; and T is the simulation time length.
S3, constructing constraint conditions of the optimal configuration of the composite power station;
s301, constraint conditions of the planning decision of the composite power station comprise:
the resource condition constraint, namely the number of newly added power plants is limited by regional land environment resources and the like, is expressed as:
wherein ,
respectively representing the minimum and maximum newly added number of the ith power plant.
S302, constructing the integral operation constraint conditions of the composite power station, including:
1) and (3) the outgoing power range of the composite power station is restricted:
the outgoing power of the composite power station at each moment should not exceed the transmission capacity of the outgoing channel, and can be expressed as:
wherein ,
for the output of the composite power station at the moment h, the calculation formula is as follows:
wherein i is a power plant number; n is a power plant in the compound power station; pi,hThe output of a power plant i in the compound power station at the moment h.
2) A multi-energy complementary operating strategy constraint comprising:
(1) peak regulation characteristic constraint:
in the aspect of peak shaving characteristics, from the aspect of scheduling, output deviation assessment cost is introduced, so that the output of the composite power station is changed according to a given planned output curve. And the output deviation of the composite power station is limited not to exceed the set maximum output deviation. Is represented as follows:
wherein ,
the output deviation assessment cost of the composite power station at the h moment is obtained; lambda (P) is the unit power deviation assessment cost of the composite power station, a sectional assessment mode is adopted, and the higher the output deviation is, the higher the corresponding assessment cost is;
the planned output at the moment h; deltamaxIndicating the set allowable maximum output deviation.
(2) Constraint of fluctuation characteristics:
in terms of fluctuation characteristics, the variation of the output fluctuation rate of the composite power station from time to time is less than a certain limit, which can be expressed as:
wherein ,CaplineThe capacity of the outward channel of the composite power station; epsilon is the proportion of the maximum allowable outgoing power variation of the composite power station in unit time to the transmission capacity of an outgoing channel.
(3) Intermittent new energy consumption constraint:
in the aspect of intermittent new energy consumption, the utilization rate of intermittent resources such as wind power and photovoltaic needs to meet the system requirements, and can be expressed as:
wherein ,ΩIPIs a set of intermittent power sources; t is the simulation duration; mu is the minimum utilization rate of intermittent resources;
and (4) the predicted output of the power plant i at the moment h.
(4) Minimum utilization constraint of outgoing channel:
in the aspect of the utilization rate of the outgoing channel, the annual outgoing electric quantity of the composite power station needs to meet the minimum annual average utilization rate requirement of the outgoing channel, which is expressed as:
wherein ,
is the minimum annual average utilization of the outgoing channel.
S303, constructing intermittent power supply operation constraint in the compound power station
For a wind power plant and a photovoltaic power station, the influence of wind abandoning and light abandoning needs to be considered, and the operation constraint is expressed as follows:
wherein ,vh、IhRespectively representing the wind speed and the illumination intensity at the h moment;
respectively representing power characteristic conversion functions of wind power and photovoltaic power;
respectively represents the abandoned wind and the abandoned wind of the power plant i at the moment hDiscarding the optical power; omegaWT、ΩPVRepresenting a collection of wind farms and photovoltaic power plants, respectively.
S304, constructing flexible power supply operation constraint in composite power station
1) Operating constraints for thermal power generating units
The operation constraint of the thermal power generating unit mainly comprises the following steps: output range constraint, climbing rate constraint, start-stop time constraint, utilization hour constraint and the like.
2) Operation constraint of hydroelectric generating set
The hydroelectric generating set is subjected to simulation scheduling by taking a month as a period, and general operation constraints comprise: the power output range constraint, the monthly water and electricity range constraint, the monthly stored electricity range constraint, the electricity change coupling constraint, the electricity balance constraint and the like.
3) Operation restriction of energy storage element
The operating constraints of energy storage power plants generally include: energy storage and power generation range constraints; mutually exclusive constraint of power generation and energy storage states; the time sequence variation range of the energy storage electric quantity is restricted; and periodic energy storage electric quantity balance constraint and the like.
(4) Operational constraints for photothermal power stations
The photo-thermal power station is an emerging renewable resource, has flexible regulation capacity, and the operation constraint mainly comprises energy flow change constraint of each subsystem in the power station and power generation constraint of the photo-thermal power station.
S305, constructing external characteristic constraint of composite power station
The external characteristics are statistical indexes of the operation results of the composite power station in a set operation strategy, and if the system planners have further requirements on the external characteristics, corresponding range constraints can be added to the characteristic indexes, and the method comprises the following steps:
1) a capacity characteristic;
the capacity of the composite power station can be evaluated by adopting a confidence capacity, and the average output in a peak-load period is approximately used as the confidence capacity of the composite power station to represent the capacity of the composite power station for providing power, which can be expressed as:
wherein ,CapCPP,creditIs the confidence capacity of the composite power station; b ispeakIs a set of peak-to-charge periods; t ispeakThe duration of the peak load period.
2) A characteristic of an electrical quantity;
the electric quantity characteristic of the composite power station is used for expressing the capability of the composite power station for providing electric energy, the electric energy is provided by various power supplies forming the composite power station, and the capability can be expressed as follows:
wherein ,ECPPThe method is used for generating the power of the composite power station in the simulation time period.
3) Reliability;
the method comprises the steps of equivalent the composite power station into a unit, obtaining probability levels of all output states of the composite power station based on long-term statistical characteristics, and establishing a multi-state unit model of the composite power station, wherein the multi-state unit model can be expressed as follows:
wherein ,XCPPThe output state variable of the composite power station;
representing the s output state of the composite power station;
indicating the composite power station output state as
The probability of (d); NS (server)CPPThe number of the output states of the composite power station.
4) Flexibility;
the flexibility of the composite power station is generally used for evaluating the benefits of the composite power station on the system regulation level, and mainly comprises the following steps:
(1) climbing ability
The method is characterized in that the climbing capacity of the composite power station is represented by the average value of the output increase of the composite power station in the load rising period:
wherein ,BupA set representing load rise periods; t isupIndicating the length of the load rise period.
(2) Ability to climb down a slope
The average value of the output reduction of the composite power station in the load reduction period is adopted to represent the downward climbing capacity of the composite power station:
wherein ,BdownA set representing load drop periods; t isdownIndicating the length of the load drop period.
(3) Providing positive standby capability
The average value of the sum of the positive and standby capacities provided by the power plants in the peak load period is adopted to represent the capacity of the composite power station for providing the positive and standby capacities:
wherein ,BpeakA set representing peak load periods; t ispeakRepresents the length of the load peak period; omegaFPRepresenting a collection of flexible power plants;
representing the maximum power that the ith plant can provide at time h.
(4) Providing negative backup capability
The average value of the sum of the negative reserve capacities provided by the power plants in the valley load period is adopted to represent the capacity of the composite power station for providing the negative reserve:
wherein ,BvalleyA set representing load trough periods; t isvalleyRepresenting the length of the load valley period;
representing the minimum output that the ith plant can provide at time h.
5) Environmental protection property;
for the composite power station without fuel power supply, the composite power station can be considered as a clean power supply, and pollutant emission is not generated. For a composite power station containing a fuel power source, the environmental protection performance of the composite power station is characterized by adopting the emission of various pollutants:
wherein ,
representing the emissions of the complex plant pollutant x during the simulation period; omegaFIs a collection of fuel power sources; f (P)i,h) Is a fuel consumption characteristic function of the power plant i; o isi,xIs the emission equivalent of pollutant x of power plant i.
And S4, inputting the data in the step S1 into an optimized configuration model based on the optimized function established in the step S2 and the constraint conditions established in the step S3, and solving to obtain a configuration result of the composite power station.
Solving the result comprises: the method comprises the steps of (1) a unit production scheme of each power plant to be selected in the composite power station, the output of each power plant in the composite power station in a simulation period, and the planning and operating cost of the composite power station; the planning scheme realizes the optimal economy of the complementary system under the conditions of meeting the resource conditions of the composite power station, the multi-energy complementary characteristics of the system and the external planning requirements.
After the exact configuration and operation strategy of the composite power station is obtained, the capacity characteristic, the electric quantity characteristic, the reliability, the flexibility and the environmental protection property of the composite power station can be calculated through formulas (12) to (19), so that the power base presents a relatively single power structure or a better comprehensive technical characteristic of pairwise complementation to the outside, and the absorption and utilization of new energy are facilitated.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, 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. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The simulation is carried out by taking a hydropower-photovoltaic-wind power and photovoltaic-photothermal two-class clean energy composite power station planned and developed cooperatively in an energy base in the south of a certain province in China as an object. The main economic parameters of each unit are shown in the table 1. To meet the complementarity requirements, the complementary configuration parameters of the hybrid power station are shown in table 2.
TABLE 1 Main economic parameters of various power supplies in a composite power station
TABLE 2 complementary configuration parameters for a hybrid power station
According to the parameters and the provided optimal configuration model of the compound power station, the optimal configuration results of two types of compound power stations can be obtained by solving and are shown in table 3:
as can be seen from the table 3, the total output electric quantity of the hydroelectric-photovoltaic-wind power composite power station is 13.5 hundred million degrees, the utilization rate of an output channel reaches 38.5 percent, and the output requirement of the system is met; the total intermittent resource electricity abandonment amount of the system is 5.17GWh, the utilization rate of the intermittent resources reaches 99 percent, and the requirement of the system resource utilization rate is met. The total configuration output electricity of the photovoltaic-photothermal composite power station is 15 hundred million degrees, the utilization rate of an output channel reaches 42.8 percent, and the output requirement of the system is met. The total intermittent resource electricity abandonment amount of the system is 2.62GWh, the intermittent resource utilization rate reaches 99 percent, and the requirement of the system resource utilization rate is met.
TABLE 3 optimized configuration results for composite power stations
The four-season typical sunpower curve of the hydroelectric-wind-photovoltaic composite power station is shown in figure 2. The flexible adjusting capability of the hydropower can effectively stabilize the fluctuation of wind and light output. Meanwhile, the intra-day and seasonal complementarity of wind, light and water can also improve the delivery capacity of the complementary system.
The four-season typical sunpower curve of the photovoltaic-photothermal composite power station is shown in fig. 3. As the photo-thermal power station comprises the heat storage system, the photo-thermal power station can realize continuous and uninterrupted power output on the whole. In addition, photovoltaic and photo-thermal can realize off-peak power generation, and complementary benefits are obvious.
The external characteristic indexes of the composite plant facing the planning are shown in table 4. It can be seen that the external characteristics of two types of hybrid power stations vary significantly with seasonal variations, among which: the confidence capacity, the electric quantity and the lower standby capacity are all the maximum in summer and the minimum in winter; the upper spare capacity changes in the opposite direction. The up-down climbing speed is related to the dispatching curve, and the difference of seasons is small.
TABLE 4 composite plant external characteristic index for planning
In summary, according to the optimal configuration method, the storage medium and the device for the multi-energy complementary power supply base, provided by the invention, aiming at the optimal configuration problem of the multi-energy complementary power supply, the intermittent power supply and the flexible power supply in the power supply base are bundled and optimized and equivalent to a composite power station, and the optimal configuration method for the economy of a complementary system is provided by taking the operating characteristics of various power supplies as the basis and considering the influences of resource conditions, the multi-energy complementary characteristics of the system and external planning requirements.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned contents are only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited thereby, and any modification made on the basis of the technical idea of the present invention falls within the protection scope of the claims of the present invention.
Claims (10)
1. A method for optimally configuring a multi-energy complementary power supply base is characterized by comprising the following steps:
s1, acquiring basic data of the composite power station, power plant data in the composite power station and operation prediction data of the composite power station from a power base and relevant departments of a power system;
s2, constructing a multi-energy complementary power supply optimization configuration model target by taking multi-aspect comprehensive cost of the minimized composite power station planning operation as a target function;
s3, constructing a composite power station planning decision constraint condition, a composite power station overall operation constraint condition, an intermittent power supply operation constraint in the composite power station, a flexible power supply operation constraint in the composite power station and an external characteristic constraint of the composite power station;
and S4, inputting the data obtained in the step S1 into an optimized configuration model based on the objective function established in the step S2 and the optimized configuration constraint condition of the compound power station established in the step S3, and solving to obtain a configuration result of the compound power station.
2. The method for optimizing configuration of multi-energy complementary power supply bases according to claim 1, wherein in step S1, the composite power station basic data comprises: capacity of outgoing channel Capline(ii) a Minimum utilization μ of intermittent resources; planned output curve of a composite power station
Plant data within a compound power plant, comprising: the number K of units of each power plant; unit investment cost C of each power plant unitinvAnd unit operating cost Cope(ii) a Operating parameters of each power plant unit; composite plant operational prediction data comprising: the incoming telegram quantity W of the hydropower station; predicted output curve P of wind farmpre,WT(t); predicted output curve P of photovoltaic power stationpre,PV(t)。
3. The method for optimizing configuration of power supply bases according to claim 1, wherein in step S2, the objective V of the model for optimizing configuration of power supply bases is:
wherein ,ΩCThe method comprises the following steps of (1) providing a set of power plants to be built;
Kirespectively representing the number of units to be built and all available units of the ith power plant; CRFiThe capital recovery factor for the ith plant;
the investment cost and the operation cost of a single unit of the ith power plant are respectively determined by the output state of each power plant;
for h composite power station output deviation assessment cost, the specific calculation method is described in detail below; and T is the simulation time length.
4. The method for optimizing configuration of a multi-energy complementary power supply base according to claim 1, wherein in step S3, the constraint conditions of the composite power station planning decision include resource condition constraints; the overall operation constraint conditions of the composite power station comprise outgoing power range constraint and multi-energy complementary operation strategy constraint of the composite power station; the intermittent power supply operation constraints in the compound power station comprise wind power plant operation constraints and photovoltaic power station operation constraints; the operation constraints of the flexible power supply in the composite power station comprise the operation constraints of a thermal power generating unit, the operation constraints of a hydroelectric generating unit, the operation constraints of an energy storage element and the operation constraints of a photo-thermal power station; external characteristic constraints of a hybrid power station include capacity characteristics, electricity characteristics, reliability, flexibility, and environmental protection.
5. The method of claim 4, wherein the composite power station's outgoing power range constraint is expressed as:
wherein ,
the output of the composite power station at the moment h;
the multi-energy complementary operating strategy constraints include:
the peak shaver characteristic constraint is expressed as:
wherein ,
for combined h-time stationsOutput deviation checking cost; lambda (P) is the unit power deviation assessment cost of the composite power station, a sectional assessment mode is adopted, and the higher the output deviation is, the higher the corresponding assessment cost is;
the planned output at the moment h; deltamaxIndicating a set allowable maximum output deviation;
the ripple characteristic constraint is expressed as:
wherein ,CaplineThe capacity of the outward channel of the composite power station; epsilon is the proportion of the maximum allowable outgoing power variation of the composite power station in unit time to the transmission capacity of an outgoing channel;
the intermittent new energy consumption constraint is expressed as:
wherein ,ΩIPIs a set of intermittent power sources; t is the simulation duration; mu is the minimum utilization rate of intermittent resources;
the predicted output of the power plant i at the moment h is obtained;
the outgoing channel minimum utilization constraint is expressed as:
wherein ,
is the minimum annual average utilization of the outgoing channel.
6. The method for optimal configuration of a multi-energy complementary power base according to claim 4, wherein the operating constraints of the wind farm and the photovoltaic power station are expressed as:
wherein ,vh、IhRespectively representing the wind speed and the illumination intensity at the h moment;
respectively representing power characteristic conversion functions of wind power and photovoltaic power;
respectively representing the abandoned wind and abandoned light power of the power plant i at the moment h; omegaWT、ΩPVRepresenting a collection of wind farms and photovoltaic power plants, respectively.
7. The method of claim 4, wherein the capacity characteristic is expressed as:
wherein ,CapCPP,creditIs the confidence capacity of the composite power station; b ispeakIs a set of peak-to-charge periods; t ispeakIs the duration of the peak load period;
the electrical quantity characteristic is expressed as:
wherein ,ECPPGenerating capacity of the composite power station in an analog time period;
the reliability is expressed as:
wherein ,XCPPThe output state variable of the composite power station;
representing the s output state of the composite power station;
indicating the composite power station output state as
The probability of (d); NS (server)CPPThe number of the output states of the composite power station;
the flexibility includes:
the climbing capacity is as follows:
wherein ,BupA set representing load rise periods; t isupIndicates the length of the load rise period;
ability to descend slopes, in particular
wherein ,BdownA set representing load drop periods; t isdownIndicating the length of the load drop period;
providing positive standby capacity, specifically:
wherein ,BpeakA set representing peak load periods; t ispeakRepresents the length of the load peak period; omegaFPRepresenting a collection of flexible power plants;
representing the maximum output which can be provided by the ith power plant at the h moment;
the method provides negative standby capacity, and specifically comprises the following steps:
wherein ,BvalleyA set representing load trough periods; t isvalleyRepresenting the length of the load valley period;
representing the minimum output which can be provided by the ith power plant at the moment h;
the environmental protection property is specifically as follows:
wherein ,
representing the emissions of the complex plant pollutant x during the simulation period; omegaFIs a collection of fuel power sources; f (P)i,h) Is a fuel consumption characteristic function of the power plant i; o isi,xIs the emission equivalent of pollutant x of power plant i.
8. The method as claimed in claim 1, wherein in step S4, the solving comprises: the method comprises the steps of (1) a unit production scheme of each power plant to be selected in the composite power station, the output of each power plant in the composite power station in a simulation period, and the planning and operating cost of the composite power station; and after the exact configuration and operation strategy of the composite power station are obtained, calculating the capacity characteristic, the electric quantity characteristic, the reliability, the flexibility and the environmental protection property of the composite power station.
9. A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device, cause the computing device to perform any of the methods of claims 1-8.
10. A computing device, comprising:
one or more processors, memory, and one or more programs stored in the memory and configured for execution by the one or more processors, the one or more programs including instructions for performing any of the methods of claims 1-8.
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