CN113036817A - Power system optimal scheduling method and system based on trough type photo-thermal power station - Google Patents
Power system optimal scheduling method and system based on trough type photo-thermal power station Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 38
- 238000006116 polymerization reaction Methods 0.000 claims abstract description 122
- 238000005338 heat storage Methods 0.000 claims abstract description 104
- 238000010248 power generation Methods 0.000 claims abstract description 53
- 238000005457 optimization Methods 0.000 claims abstract description 42
- 238000003860 storage Methods 0.000 claims abstract description 23
- 238000004364 calculation method Methods 0.000 claims abstract description 15
- 230000008878 coupling Effects 0.000 claims description 23
- 238000010168 coupling process Methods 0.000 claims description 23
- 238000005859 coupling reaction Methods 0.000 claims description 23
- 230000009194 climbing Effects 0.000 claims description 18
- 238000006243 chemical reaction Methods 0.000 claims description 6
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- 230000000379 polymerizing effect Effects 0.000 claims description 4
- 239000002918 waste heat Substances 0.000 claims description 4
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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
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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
- 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]
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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
- 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
Abstract
The invention provides a power system optimal scheduling method and system based on a slot type photo-thermal power station, which are used for obtaining parameters of the slot type photo-thermal power station; substituting the parameters of the groove type photo-thermal power station into a pre-constructed polymerization operation optimization model for calculation to obtain an optimal scheduling scheme of the groove type photo-thermal power station in the power system; the optimized scheduling scheme comprises the starting and stopping number, the running state and the generating power of the groove type photo-thermal power station; the aggregate operation optimization model includes thermal storage system operational constraints and power generation system operational constraints. According to the technical scheme provided by the invention, the operation constraint of the heat storage system and the operation constraint of the power generation system are considered, the accuracy of the model is improved, and the scheduling scheme of the power system is optimized.
Description
Technical Field
The invention relates to the technical field of new energy production simulation, in particular to a power system optimal scheduling method and system based on a trough type photo-thermal power station.
Background
The photo-thermal power generation is a novel solar power generation technology in recent years and has the advantages of large heat storage capacity, strong regulating capacity and the like. The coordination and complementation with wind power and photovoltaic power generation can be realized by configuring the photo-thermal power station in a large scale, and the new energy consumption of the provincial power grid is effectively improved. Production simulation calculation of a medium-and-long-term power system is an effective technical means for evaluating the consumption of new energy of a power grid, so that a photo-thermal power station operation optimization model suitable for production simulation calculation needs to be built urgently. The operation link of the photothermal power station is complex, the processes of starting, stopping, storing heat and the like of the unit are involved, and when the quantity of the photothermal power stations is large, the complexity and the solving difficulty of the production simulation operation optimization model can be greatly increased. Therefore, polymerization modeling can be carried out on the photo-thermal power stations of the same type and installed capacity, the complexity of the operation optimization model is reduced by reducing the variable scale under the condition of ensuring the model precision, and the production simulation calculation speed is increased.
The groove type photo-thermal power station is one of the most common photo-thermal power generation types in China at present. The operation principle of the groove type photo-thermal power station is that solar radiation is converged on a heat collecting pipe in the center of a paraboloid through a paraboloid mirror field to heat a heat conducting medium in the heat collecting pipe, and the heat conducting medium pushes a steam turbine to generate electricity by heating steam. The heat collecting pipe of slot type light and heat power station is longer, and for avoiding stifled pipe risk, the heat-conducting medium of slot type light and heat power station is the conduction oil usually. In addition, the trough type photo-thermal power station is generally provided with a heat storage tank, a heat storage medium of the heat storage tank is molten salt, and when no solar radiation exists at night, the molten salt heats the heat conduction medium to generate electricity, so that continuous supply of power at night is realized. The power generation principle of the groove type photo-thermal power station is shown in figure 1, wherein a mirror field heat collection system, a heat storage system and a power generation system of the groove type photo-thermal power station are coupled with each other, and heat required by power generation of a steam turbine can be generated by the mirror field heat collection system or the heat storage tank.
The groove type photo-thermal power station cannot simultaneously perform heat storage and heat release operations of the heat storage tank under the influence of the system structure. At present, research has been carried out on a photo-thermal power station polymerization modeling method, but the method does not consider the operation limitation that a groove type photo-thermal power station heat storage tank cannot simultaneously store heat and release heat, so that a photo-thermal power station polymerization model cannot accurately reflect the heat storage amount and the heat release amount of each power station heat storage tank. Such as: suppose there are 10 identically installed trough photothermal power stations and the maximum storage/release power of each station heat storage tank is 100 MW. When there are 3 stations performing the heat storage operation at a certain time, then the heat storage power and the heat release power of the polymerization plant should be in the range of 0-300MW and 0-700MW, respectively, instead of 0-1000 MW. In addition, due to the limitation of the power generation capacity of the steam turbine, the photothermal power station needs to be at the minimum technical output level in the first time period after startup and the last time period before shutdown, the influence of startup and shutdown of the polymerization photothermal power station is not considered in the output climbing constraint of the polymerization photothermal power station of the existing method, and the accuracy of the model is further influenced.
Disclosure of Invention
In order to solve the problem that the operation limitation that the heat storage and heat release of the heat storage tank of the groove type photo-thermal power station cannot be carried out simultaneously is not considered in the prior art, so that a photo-thermal power station aggregation model cannot accurately reflect the heat storage quantity and the heat release quantity of each heat storage tank of the power station, the invention provides an optimized scheduling method of a power system based on the groove type photo-thermal power station, which comprises the following steps:
acquiring parameters of a groove type photo-thermal power station;
substituting the parameters of the groove type photo-thermal power station into a pre-constructed polymerization operation optimization model for calculation to obtain an optimal scheduling scheme of the groove type photo-thermal power station in the power system;
the optimized scheduling scheme comprises the starting and stopping number, the running state and the generating power of the groove type photo-thermal power station; the aggregate operation optimization model includes thermal storage system operational constraints and power generation system operational constraints.
Preferably, the aggregation operation optimization model includes: the operation constraints of the heat storage system, the thermoelectric coupling operation constraints and the power generation system of the groove type photo-thermal power station.
Preferably, the thermal storage system operating constraints of the trough photo-thermal power station include:
a heat balance constraint, a storage/release heat limit constraint, a heat storage tank heat balance constraint, and a heat storage tank capacity constraint.
Preferably, the storage/release heat limit constraint is as follows:
in the formula (I), the compound is shown in the specification,
and
respectively representing the number of power stations for storing and releasing heat of the polymerization tank type photo-thermal power station in a time period t, wherein the power stations are integer optimization variables;
and
respectively represents the heat storage quantity and the heat release quantity of a single groove type photo-thermal power station heat storage tank in unit time periodUpper limit of quantity, all input parameters;
representing the heat storage quantity of the heat storage tank of the polymerization photo-thermal power station in a period t;
and the heat release of the heat storage tank of the polymerization tank type photo-thermal power station in a period t is shown.
Preferably, the power generation system operating constraints include:
the method comprises the following steps of turbine operation number constraint, power generation power upper and lower limit constraint, power generation power climbing constraint, starting and stopping number constraint, starting and stopping state constraint and starting number constraint.
Preferably, the start-stop state constraint is as follows:
Zt·N≤St-St-1≤Yt·N
the start-stop state constraint is as follows:
Yt+Zt≤1
the number of the starting machines is constrained as shown in the following formula:
Ut＝max{0,St-St-1}
in the formula, St: the number of the steam turbines of the polymerization groove type photo-thermal power station in the t period is represented; st-1The number of the steam turbines of the polymerization groove type photo-thermal power station in the t-1 time period is represented; y istAnd ZtAll the variables are integer variables of 0-1, and respectively represent the startup state and the shutdown state of the polymerization tank type photo-thermal power station in a time period t; when Y istWhen the value is 1, the polymerization groove type photo-thermal power station starts up in a time period t, and Zt1 represents that the polymerization tank type photo-thermal power station is shut down in a period t; n: representing the total number of the groove type photo-thermal power stations; u shapet: starting the machines.
Preferably, the thermocouple operation constraints include:
thermoelectric coupling constraints and turbine generation heat constraints.
Preferably, the thermocouple is constrained by the following formula:
in the formula, PtRepresenting the generated power of the polymerization tank type photo-thermal power station in a time period t, wherein the generated power is an optimized variable; beta represents the thermoelectric conversion efficiency coefficient of the groove type photo-thermal power station, and is an input parameter;
representing the heat required by the polymerization groove type photo-thermal power station steam turbine for generating power in a time period t;
preferably, the turbine power generation heat constraint is calculated according to the following formula:
in the formula, EsuRepresenting the heat required by starting a single groove type photothermal power station steam turbine as an input parameter; u shapetAnd the starting number of the polymerization groove type photo-thermal power station in a t period is shown.
Preferably, before obtaining the parameters of the trough photothermal power station, it comprises:
and polymerizing photo-thermal units belonging to the same groove type photo-thermal power station into a type, and taking the polymerized type parameters as the parameters of the groove type photo-thermal power station.
Based on the same invention concept, the invention also provides a power system optimal scheduling system based on the trough type photo-thermal power station, which comprises:
the parameter acquisition module is used for acquiring parameters of the groove type photo-thermal power station;
the scheme making module is used for substituting the parameters of the groove type photo-thermal power station into a pre-constructed polymerization operation optimization model for calculation to obtain an optimized scheduling scheme;
the optimized scheduling scheme comprises the starting and stopping number, the running state and the generating power of the groove type photo-thermal power station; the aggregate operation optimization model includes thermal storage system operational constraints and power generation system operational constraints.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention provides an optimal scheduling method for a power system based on a slot type photo-thermal power station, which is used for acquiring parameters of the slot type photo-thermal power station; bringing the parameters of the groove type photo-thermal power station into a pre-constructed polymerization operation optimization model for calculation to obtain an optimized scheduling scheme; the optimized scheduling scheme comprises the starting and stopping number, the running state and the generating power of the groove type photo-thermal power station; the aggregate operation optimization model includes thermal storage system operational constraints and power generation system operational constraints. The technical scheme provided by the invention considers the operation limitation of the heat storage system and the power generation system of the post-polymerization groove type photo-thermal power station, improves the accuracy of the model and optimizes the scheduling scheme of the power system.
2. The invention limits the heat storage quantity and the heat release quantity of the polymerization photo-thermal power station in the same time period in the operation constraint of the heat storage system, and can avoid the phenomenon that a single polymerization photo-thermal power station stores heat and releases heat simultaneously.
3. The invention describes the number of the operation stations of the aggregation power station by introducing an integer variable, and considers the influence of startup and shutdown of the power station in the climbing constraint of the aggregation power station.
Drawings
FIG. 1 is a schematic view of the operating principle of a prior art trough-type photothermal power station;
fig. 2 is a schematic diagram of an optimal scheduling method of a power system based on a trough type photo-thermal power station.
Detailed Description
In order to meet the requirement of long-term time sequence production simulation calculation in a new energy power system, the invention provides a power system optimization scheduling method and system based on a trough type photo-thermal power station, which can accurately describe the operation characteristics of the trough type photo-thermal power station after polymerization and meet the requirement of the production simulation calculation of the power system.
Example 1: the invention discloses an optimal scheduling method for a power system based on a trough type photo-thermal power station, which is shown in figure 2:
step 1: acquiring parameters of a groove type photo-thermal power station;
step 2: substituting the parameters of the groove type photo-thermal power station into a pre-constructed polymerization operation optimization model for calculation to obtain an optimal scheduling scheme of the groove type photo-thermal power station in the power system;
the optimized scheduling scheme comprises the starting and stopping number, the running state and the generating power of the groove type photo-thermal power station; the aggregate operation optimization model includes thermal storage system operational constraints and power generation system operational constraints. The implementation process of the method of the invention is as follows:
step 1: obtain the parameter of slot type light and heat power station, specifically include:
1. obtaining parameters of a trough photo-thermal power station, comprising: the number of power stations, the operating parameters of the generator sets, the operating parameters of the heat storage system and the maximum heat collection of the mirror field theory.
Polymerizing photo-thermal units in the groove type photo-thermal power station, and polymerizing the photo-thermal units belonging to the same power station into one type;
determining class parameters after polymerization: for steam turbine parameters, if the parameters of the units in the class are the same, taking the parameter of any unit as the equivalent parameter of the aggregated class; if the parameters of the machine sets in the class are similar but not completely identical, acquiring the equivalent parameters of the aggregated class by adopting a weighted average method; and for the parameters of the heat storage tank, summing all the single machine parameters in the class to obtain class equivalent parameters, and taking the class equivalent parameters as the parameters of the groove type photo-thermal power station.
Step 2: bringing the parameters of the groove type photo-thermal power station into a pre-constructed polymerization operation optimization model for calculation to obtain an optimal scheduling scheme of the groove type photo-thermal power station in the power system, and the method specifically comprises the following steps:
the polymerization operation optimization model comprises the following steps: the operation constraints of the heat storage system, the thermoelectric coupling operation constraints and the power generation system of the groove type photo-thermal power station.
1. Establishing a thermal storage system operating constraint for a polymerization tank type photo-thermal power station, comprising:
(1) heat balance constraint
The heat balance constraint describes the heat transfer relationship between the mirror field collected heat of the polymerization tank type photo-thermal power station and the heat abandon quantity of the polymerization power station, the storage/release quantity of the heat storage tank and the heat quantity required by the power generation of the steam turbine, and the mathematical formula is as follows:
in the formula (I), the compound is shown in the specification,
representing the theoretical maximum heat collection of the mirror field of the polymerization groove type photo-thermal power station in a time period t as an input parameter;
the waste heat generated by the polymerization tank type photo-thermal power station in the time period t due to the heat storage of the heat storage tank and the limit of the power generation capacity of the steam turbine is shown, and in order to optimize variables,
the heat storage quantity of the heat storage tank of the polymerization thermoelectric power station in the time period t is represented and is an optimized variable;
the heat release of the heat storage tank of the polymerization tank type photo-thermal power station in a time period t is represented and is an optimized variable;
representing the heat required by the polymerization groove type photo-thermal power station steam turbine for generating power in a time period t, and taking the heat as an optimized variable; esuRepresenting the heat required by starting a single groove type photothermal power station steam turbine as an input parameter; u shapetThe starting number of the polymerization tower type photo-thermal power station in the t period is represented and is an optimization variable.
(2) Storage/release heat limit constraints
The storage/release heat limiting constraint describes the heat storage and release capacity of the heat storage tank of the polymerization photo-thermal power station in each time period, and the mathematical formula is as follows:
in the formula (I), the compound is shown in the specification,
and
respectively representing the number of power stations for storing and releasing heat of the polymerization tank type photo-thermal power station in a time period t, wherein the power stations are integer optimization variables;
and
the upper limit of the heat storage quantity and the upper limit of the heat release quantity of the heat storage tank of the single groove type photo-thermal power station in a unit time interval are respectively represented and are input parameters. The third constraint of the above equation limits the single station of the polymeric tank type photo-thermal power station to not perform heat storage and heat release operations simultaneously in the same time period.
(3) Heat balance constraint of heat storage tank
The heat storage tank heat constraint describes the relationship between the heat stored in the heat storage tank of the polymerization tank type photo-thermal power station in adjacent time periods and the heat stored and released in unit time periods, and the mathematical formula is as follows:
in the formula, EtAnd Et-1Respectively representing the heat stored in the heat storage tank of the polymerization tank type photo-thermal power station in the time period t and the time period t-1, and taking the heat as an optimization variable; gamma represents the dissipation coefficient of the heat storage tank of the single groove type photo-thermal power station, and is an input parameter; etachAnd ηdcThe heat storage efficiency and the heat release efficiency of the heat storage tank of the single groove type photo-thermal power station are respectively expressed and are input parameters.
(4) Heat storage tank capacity constraints
The heat storage tank capacity constraint describes the range of the heat storage tank of the polymerization tank type photo-thermal power station, and the mathematical formula is as follows:
N·Emin≤Et≤N·Emax (4)
in the formula, EmaxAnd EminRespectively the upper limit and the lower limit of the capacity of the heat storage tank of the single groove type photo-thermal power station.
2. Establishing a thermoelectric coupling operation constraint of a polymerization tank type photo-thermal power station, comprising:
(1) thermoelectric coupling constraint
The thermoelectric coupling contract describes the coupling relation between the generated power of the polymerization trough type photo-thermal power station and the heat required by the steam turbine for generating electricity, and the mathematical formula is as follows:
in the formula, PtRepresenting the generated power of the polymerization tank type photo-thermal power station in a time period t, wherein the generated power is an optimized variable; beta represents the thermoelectric conversion efficiency coefficient of the groove type photo-thermal power station, and is an input parameter;
the heat required by the polymerization groove type photo-thermal power station steam turbine for generating electricity in the time period t is represented and is an optimized variable.
(2) Steam turbine power generation heat restraint
The steam turbine power generation heat constraint describes the relationship between the heat release of the heat storage tank of the polymerization tank type photo-thermal power station and the heat required by the power generation of the steam turbine and the heat required by the startup of the steam turbine, and the mathematical formula is as follows:
in the formula, EsuRepresenting the heat required by starting a single groove type photothermal power station steam turbine as an input parameter; u shapetAnd (4) representing the starting number of the polymerization tank type photo-thermal power stations in the t period, and taking the starting number as an optimization variable.
3. Establishing power generation system operation constraints of a polymerization tank type photo-thermal power station, comprising:
(1) steam turbine operating number constraint
The number of the operating units is restricted to limit the range of the number of the operating units of the steam turbine of the polymerization tank type photo-thermal power station, and the mathematical formula is as follows:
0≤St≤N (7)
in the formula, StAnd the number of the steam turbines of the polymerization tank type photo-thermal power station in the t period is represented and is an integer optimization variable.
(2) Upper and lower limit constraints of generated power
The generated power range of the polymerization tank type photo-thermal power station is limited by the upper and lower limits of generated power, and the mathematical formula is as follows:
St·pmin≤Pt≤St·pmax (8)
in the formula, pmaxAnd pminThe maximum and minimum technical output of a single slot type photo-thermal power station are respectively represented as input parameters.
(3) Generated power climbing restraint
Due to the limitation of the power generation capacity of the steam turbine, the photothermal power station needs to be at the minimum technical output level in the first time period after startup and the last time period before shutdown, the influence of startup and shutdown of the polymerization photothermal power station is not considered in the output climbing constraint of the polymerization photothermal power station of the existing method, and the accuracy of the model is further influenced. Therefore, the invention sets the power generation power climbing restriction.
The generated power climbing constraint limits the generated power variation range of the polymerization tank type photo-thermal power station in the adjacent time period, and the mathematical formula is as follows:
in the formula, delta is the maximum climbing capacity of a single groove type photo-thermal power station; Δ t is a unit period length. The first constraint in the formula (9) indicates that if the aggregated groove type photo-thermal power station is not started in a certain period of time, the increment of the generated power is limited by the maximum climbing capacity of the power station; if a start-up occurs, the start-up photothermal power station needs to be maintained at a minimum output level during this time period. The second constraint in the formula (10) represents that if the polymerization tank type photo-thermal power station is not shut down in a certain period of time, the generated power is reduced by the limitation of the maximum climbing capacity of the power station; if a shutdown occurs, the shutdown photothermal power station needs to be maintained at a minimum output level for the previous period.
(4) Number of start-stop machine
The number of start-stop machines restricts the variation range of the number of start-stop machines of the polymerization tank type photothermal power station, and the mathematical formula is as follows:
Zt·N≤St-St-1≤Yt·N (10)
in the formula, St-1The number of the steam turbines of the polymerization groove type photo-thermal power station in the t-1 time period is represented and is an integer optimization variable; y istAnd ZtAnd the variables are all integer variables from 0 to 1 and respectively represent the startup state and the shutdown state of the polymerization tank type photo-thermal power station in the t period. When Y istWhen the value is 1, the polymerization groove type photo-thermal power station starts up in a time period t, and ZtThe condition that the polymerization tank type photo-thermal power station is shut down in the time period t is represented by 1.
(5) Start-stop state constraint
The starting and stopping state constraint limits that the polymerization tank type photo-thermal power station cannot be started and stopped at the same time in the same time period, and the mathematical formula is as follows:
Yt+Zt≤1 (11)
in the formula, YtAnd ZtAnd the variables are all integer variables from 0 to 1 and respectively represent the startup state and the shutdown state of the polymerization tank type photo-thermal power station in the t period. When Y istWhen the value is 1, the polymerization groove type photo-thermal power station starts up in a time period t, and ZtThe condition that the polymerization tank type photo-thermal power station is shut down in the time period t is represented by 1.
(6) Number of start-up units constraint
The starting number constraint is used for calculating the starting number of the polymerization tank type photo-thermal power station in each time period, and the mathematical formula is as follows:
Ut＝max{0,St-St-1} (12)
this equation shows that when the number of the polymeric optothermal power stations operating in the period t is reduced (S)t-St-1Less than 0), the number of start-ups UtThe value is 0; when the number of the polymerization photothermal power stations in the t period is increased or kept unchanged (S)t-St-1Not less than 0), the number of machine starts UtValue is St-St-1。
4. The formulas (1) to (12) are polymerization operation optimization models of the groove type photo-thermal power station, and the power system production simulation calculation is carried out based on the models.
The invention provides an optimal scheduling method for a power system based on a trough type photo-thermal power station. The polymerization operation optimization model respectively adopts integer variables to describe the number of power stations for heat storage and heat release operation in the polymerization groove type photo-thermal power station, and limits the heat storage amount and the heat release amount of the polymerization photo-thermal power station in the same time period based on the integer variables, so that the phenomenon that a single power station simultaneously stores heat and releases heat can be avoided, the condition that a plurality of 0-1 variables are adopted to describe the heat storage/release state of the single power station is also avoided, and the accuracy of the model is ensured while the optimization variables are reduced. In addition, the model describes the number of the operation stations of the aggregation power station by introducing integer variables, and the influence of the startup and shutdown of the power station is considered in the climbing constraint of the aggregation power station. If the polymerization groove type photo-thermal power station is not started or stopped in a certain time period, the variation of the generated power is limited by the maximum climbing capacity of the power station; if a start-up shutdown occurs, the power plant needs to be maintained at a minimum output level for the first period after start-up or the last period before shutdown.
And issuing the number of the starting and stopping machines of the calculated slot type photo-thermal power stations to each slot type photo-thermal power station, wherein each slot type photo-thermal power station arranges the state of the corresponding photo-thermal unit based on the number of the starting and stopping machines.
The following is illustrated in conjunction with the drawings of the product with the mark:
1) obtaining parameters of a trough photo-thermal power station, comprising: the number of power stations, the operating parameters of the generator sets, the operating parameters of the heat storage system and the maximum heat collection of the mirror field theory.
2) Establishing operation constraints of a heat storage system of the polymerization groove type photo-thermal power station according to the formulas (1) to (4), wherein the constraints comprise: heat balance constraint, storage/release heat limit constraint, heat storage tank heat balance constraint, and heat storage tank capacity constraint.
3) Establishing thermoelectric coupling operation constraints of the polymerization groove type optical thermal power station according to the formulas (5) to (6), wherein the constraints comprise: thermoelectric coupling constraints and turbine generation heat constraints.
4) Establishing power generation system operating constraints of the aggregated tank type photo-thermal power station according to equations (7) - (12), comprising: the method comprises the following steps of turbine operation number constraint, power generation power upper and lower limit constraint, power generation power climbing constraint, starting and stopping number constraint, starting and stopping state constraint and starting number constraint.
5) And establishing a polymerization operation optimization model of the groove type photo-thermal power station based on the operation constraint of the heat storage system, the thermoelectric coupling operation constraint and the operation constraint of the power generation system, and applying the model to production simulation calculation.
1. The polymerization operation optimization model of the groove type photo-thermal power station, which is provided by the invention, adopts integer variables to describe the number of power stations for heat storage and heat release operation in the polymerization power station, and limits the heat storage amount and the heat release amount of the polymerization photo-thermal power station in the same time period based on the integer variables, so that the phenomenon that a single power station after polymerization simultaneously performs heat storage and heat release operation can be avoided.
2. The invention describes the number of the operation stations of the aggregation power station by introducing an integer variable, considers the influence of start and stop of the power station in the climbing constraint of the aggregation power station, and if the start and stop of the power station occur, the power station needs to be kept at the minimum output level in the first time period after the start or the last time period before the stop.
Example 2
The invention based on the same inventive concept also provides an optimal scheduling system of a power system based on a groove type photo-thermal power station, which comprises:
the parameter acquisition module is used for acquiring parameters of the groove type photo-thermal power station;
the scheme making module is used for bringing the parameters of the groove type photo-thermal power station into a pre-constructed polymerization operation optimization model to obtain an optimized scheduling scheme of the groove type photo-thermal power station in the power system;
the optimized scheduling scheme comprises the starting and stopping number, the running state and the generating power of the groove type photo-thermal power station; the aggregate operation optimization model includes thermal storage system operational constraints and power generation system operational constraints.
The system also comprises a model construction module used for constructing the aggregation operation optimization model.
The polymerization operation optimization model comprises: the operation constraints of the heat storage system, the thermoelectric coupling operation constraints and the power generation system of the groove type photo-thermal power station.
The heat storage system operation constraints of the trough-type photo-thermal power station include:
a heat balance constraint, a storage/release heat limit constraint, a heat storage tank heat balance constraint, and a heat storage tank capacity constraint.
The storage/release heat limit constraint is as follows:
in the formula (I), the compound is shown in the specification,
and
respectively representing the number of power stations for storing and releasing heat of the polymerization tank type photo-thermal power station in a time period t, wherein the power stations are integer optimization variables;
and
the upper limit of the heat storage quantity and the upper limit of the heat release quantity of the heat storage tank of the single groove type photo-thermal power station in a unit time interval are respectively represented and are input parameters.
The power generation system operating constraints comprising:
the method comprises the following steps of turbine operation number constraint, power generation power upper and lower limit constraint, power generation power climbing constraint, starting and stopping number constraint, starting and stopping state constraint and starting number constraint.
The start-stop state constraint is as follows:
Zt·N≤St-St-1≤Yt·N
the start-stop state constraint is as follows:
Yt+Zt≤1
the number of the starting machines is constrained as shown in the following formula:
Ut＝max{0,St-St-1}
in the formula, St: the number of the steam turbines of the polymerization groove type photo-thermal power station in the t period is represented; st-1The number of the steam turbines of the polymerization groove type photo-thermal power station in the t-1 time period is represented; y istAnd ZtAll the variables are integer variables of 0-1, and respectively represent the startup state and the shutdown state of the polymerization tank type photo-thermal power station in a time period t; when Y istWhen the value is 1, the polymerization groove type photo-thermal power station starts up in a time period t, and Zt1 represents that the polymerization tank type photo-thermal power station is shut down in a period t; n: representing the total number of the groove type photo-thermal power stations; u shapet: starting the machines.
The thermocouple operating constraints include: thermoelectric coupling constraints and turbine generation heat constraints.
The thermoelectric coupling constraint is as follows:
in the formula, PtRepresenting the generated power of the polymerization tank type photo-thermal power station in a time period t, wherein the generated power is an optimized variable; beta represents the thermoelectric conversion efficiency coefficient of the groove type photo-thermal power station, and is an input parameter;
representing the heat required by the polymerization groove type photo-thermal power station steam turbine for generating power in a time period t;
the power generation heat constraint of the steam turbine is calculated according to the following formula:
in the formula, EsuRepresenting the heat required by starting a single groove type photothermal power station steam turbine as an input parameter; u shapetAnd the starting number of the polymerization groove type photo-thermal power station in a t period is shown.
The system further comprises: and the clustering module is used for aggregating the photo-thermal units belonging to the same groove type photo-thermal power station into one type and taking the aggregated type parameters as the parameters of the groove type photo-thermal power station.
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 present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.
Claims (12)
1. A power system optimal scheduling method based on a trough type photo-thermal power station is characterized by comprising the following steps:
acquiring parameters of a groove type photo-thermal power station;
substituting the parameters of the groove type photo-thermal power station into a pre-constructed polymerization operation optimization model for calculation to obtain an optimized scheduling scheme of the groove type photo-thermal power station in a set time period;
the optimized scheduling scheme comprises the starting and stopping number, the running state and the generating power of the groove type photo-thermal power station;
the polymerization operation optimization model comprises waste heat generated by the heat storage of the heat storage tank and the power generation capacity limitation of the steam turbine of the groove type photo-thermal power station, and the operation constraint of a heat storage system, the operation constraint of a thermoelectric coupling and the operation constraint of a power generation system of the groove type photo-thermal power station.
2. The power system optimization scheduling method of claim 1, wherein the building of the aggregate operation optimization model comprises:
constructing an objective function by taking the minimum comprehensive operation cost as a target;
the theoretical maximum heat collection of the polymerization tank type photo-thermal power station in a set time period, the heat rejection generated due to the limitation of the heat storage capacity of the heat storage tank and the power generation capacity of the steam turbine, the heat storage capacity of the heat storage tank, the heat release capacity of the heat storage tank of the polymerization tank type photo-thermal power station in the set time period, the heat required by the steam turbine of the polymerization tank type photo-thermal power station for generating power in the set time period, the heat required by the steam turbine of a single tank type photo-thermal power station for starting up, the number of start-up machines of the polymerization tower type photo-thermal power station in the set time period, the heat storage capacity and the heat release capacity of the heat storage tank of the polymerization tank type photo-thermal power station in each time period, the relationship between the heat storage capacity;
constructing thermoelectric coupling operation constraint by using the generated power, the thermoelectric conversion efficiency coefficient and the heat required by the power generation of a steam turbine of the polymerization tank type photo-thermal power station in a set time period;
the method comprises the following steps of constructing the operation constraint of a power generation system by using the number of operating turbines of a polymerization tank type photo-thermal power station in a set time period, the maximum and minimum technical output of a single tower type photo-thermal power station, the number of operating turbines in a last time period, and the constraint of start-up and shutdown states;
and constructing an operation optimization model of the polymerization tank type photo-thermal power station based on the target function, the operation constraint of the heat storage system, the operation constraint of the thermoelectric coupling and the operation constraint of the power generation system as constraint conditions.
3. The power system optimal scheduling method of claim 2, wherein the thermal storage system operating constraints comprise:
a heat balance constraint at a set time, a storage/release heat limit constraint, a heat storage tank heat balance constraint, and a heat storage tank capacity constraint.
4. The power system optimal scheduling method of claim 3, wherein the heat balance constraint is expressed by the following formula:
in the formula (I), the compound is shown in the specification,
representing the theoretical maximum heat collection of the mirror field of the polymerization groove type photo-thermal power station in a time period t;
the system is characterized by representing the waste heat quantity generated by the polymerization tank type photo-thermal power station due to the heat storage of the heat storage tank and the limitation of the power generation capacity of a steam turbine in a t period;
representing the heat storage quantity of the heat storage tank of the polymerization photo-thermal power station in a period t;
the heat release quantity of the heat storage tank of the polymerization tank type photo-thermal power station in a t period is represented;
representing the heat required by the polymerization groove type photo-thermal power station steam turbine for generating power in a time period t; esuRepresenting the heat required by starting a steam turbine of a single groove type photo-thermal power station; u shapetRepresenting the starting number of the polymerization tower type photo-thermal power station in a time period t;
the storage/release heat limit constraint is as follows:
in the formula (I), the compound is shown in the specification,
and
respectively representing the number of power stations for storing and releasing heat of the polymerization tank type photo-thermal power station in a time period t, wherein the power stations are integer optimization variables;
and
respectively representing the upper limits of the heat storage capacity and the heat release capacity of the heat storage tank of the single groove type photo-thermal power station in a unit time interval, wherein the upper limits are input parameters; n: representing the total number of the groove type photo-thermal power stations;
the heat balance constraint of the heat storage tank is as follows:
in the formula, EtAnd Et-1Respectively representing the heat stored in the heat storage tank of the polymerization tank type photo-thermal power station in a time period t and a time period t-1; gamma represents the dissipation coefficient of the heat storage tank of the single groove type photothermal power station; etachAnd ηdcRespectively representing the heat storage efficiency and the heat release efficiency of the heat storage tank of the single groove type photo-thermal power station;
the capacity constraint of the heat storage tank is as follows:
N·Emin≤Et≤N·Emax
in the formula, EmaxAnd EminRespectively the upper limit and the lower limit of the capacity of the heat storage tank of the single groove type photo-thermal power station.
5. The power system optimal scheduling method of claim 2, wherein the thermoelectric coupling operating constraints comprise: thermoelectric coupling constraints and turbine generation heat constraints.
6. The power system optimal scheduling method of claim 5, wherein the thermoelectric coupling constraint is represented by the following equation:
in the formula, PtRepresenting the generated power of the polymerization tank type photo-thermal power station in a t period; beta represents the coefficient of thermoelectric conversion efficiency of the trough type photothermal power station;
representing the heat required by the polymerization groove type photo-thermal power station steam turbine for generating power in a time period t;
the power generation heat constraint of the steam turbine is shown as the following formula:
in the formula, EsuRepresenting the heat required by starting a steam turbine of a single groove type photo-thermal power station; u shapetAnd the starting number of the polymerization groove type photo-thermal power station in a t period is shown.
7. The power system optimal scheduling method of claim 2, wherein the power generation system operating constraints comprise:
the method comprises the following steps of turbine operation number constraint, power generation power upper and lower limit constraint, power generation power climbing constraint, starting and stopping number constraint, starting and stopping state constraint and starting number constraint.
8. The optimal scheduling method for power system as claimed in claim 6, wherein the constraint of the number of operating turbines is as follows:
0≤St≤N
in the formula, StThe number of the steam turbines of the polymerization groove type photo-thermal power station in the t period is represented;
the upper and lower limits of the generated power are restricted as shown in the following formula:
St·pmin≤Pt≤St·pmax
in the formula, pmaxAnd pminRespectively representing the maximum and minimum technical output of a single trough type photo-thermal power station;
the generated power climbing constraint is as follows:
in the formula, delta is the maximum climbing capacity of a single groove type photo-thermal power station; Δ t is a unit period length; st-1The number of the steam turbines of the polymerization groove type photo-thermal power station in the t-1 time period is represented;
the number of start-stop machines is constrained as follows:
Zt·N≤St-St-1≤Yt·N
in the formula, St: the number of the steam turbines of the polymerization groove type photo-thermal power station in the t period is represented; st-1The number of the steam turbines of the polymerization groove type photo-thermal power station in the t-1 time period is represented; y istAnd ZtAll the variables are integer variables of 0-1, and respectively represent the startup state and the shutdown state of the polymerization tank type photo-thermal power station in a time period t; n: representing the total number of the groove type photo-thermal power stations;
the start-stop state constraint is as follows:
Yt+Zt≤1
the number of the starting machines is constrained as shown in the following formula:
Ut＝max{0,St-St-1}
in the formula of Ut: starting the machines.
9. The power system optimal scheduling method of claim 2, wherein the thermoelectric coupling operating constraints comprise:
thermoelectric coupling constraints and turbine generation heat constraints.
10. The power system optimal scheduling method of claim 9, wherein the thermoelectric coupling constraint is represented by the following equation:
in the formula, PtRepresenting the generated power of the polymerization tank type photo-thermal power station in a time period t, wherein the generated power is an optimized variable; beta represents the thermoelectric conversion efficiency coefficient of the groove type photo-thermal power station, and is an input parameter;
representing the heat required by the polymerization groove type photo-thermal power station steam turbine for generating power in a time period t;
preferably, the turbine power generation heat constraint is calculated according to the following formula:
in the formula, EsuRepresenting the heat required by starting a single groove type photothermal power station steam turbine as an input parameter; u shapetAnd the starting number of the polymerization groove type photo-thermal power station in a t period is shown.
11. The power system optimal scheduling method of claim 1, wherein prior to obtaining parameters for the trough photo-thermal power plant, comprising:
and polymerizing photo-thermal units belonging to the same groove type photo-thermal power station into a type, and taking the polymerized type parameters as the parameters of the groove type photo-thermal power station.
12. The utility model provides an electric power system optimizes dispatch system based on slot type light and heat power station which characterized in that includes:
the parameter acquisition module is used for acquiring parameters of the groove type photo-thermal power station;
the scheme making module is used for substituting the parameters of the groove type photo-thermal power station into a pre-constructed polymerization operation optimization model for calculation to obtain an optimized scheduling scheme of the groove type photo-thermal power station in a set time period;
the optimized scheduling scheme comprises the starting and stopping number, the running state and the generating power of the groove type photo-thermal power station;
the polymerization operation optimization model comprises waste heat generated by the heat storage of the heat storage tank and the power generation capacity limitation of the steam turbine of the groove type photo-thermal power station, and the operation constraint of a heat storage system, the operation constraint of a thermoelectric coupling and the operation constraint of a power generation system of the groove type photo-thermal power station.
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| CN113922418B (en) * | 2021-09-30 | 2024-02-06 | 东北大学 | Photo-thermal-heat storage-low temperature waste heat power supply system and optimal control method |
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