CN113364044A - Short-term optimization system and method for multi-source power system with wind power access - Google Patents

Short-term optimization system and method for multi-source power system with wind power access Download PDF

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CN113364044A
CN113364044A CN202110502189.4A CN202110502189A CN113364044A CN 113364044 A CN113364044 A CN 113364044A CN 202110502189 A CN202110502189 A CN 202110502189A CN 113364044 A CN113364044 A CN 113364044A
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文立斌
胡弘
李俊
孙志媛
卢广陵
张翌晖
窦骞
吴健旭
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Electric Power Research Institute of Guangxi Power Grid Co Ltd
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Abstract

The invention provides a short-term optimization system and a short-term optimization method for a multi-source power system with wind power access. The system and the method have excellent regulation performance, have the advantages of good safety, strong sustainability, good applicability and the like, and can improve the wind power and photovoltaic absorption capacity and the economical efficiency of the system.

Description

Short-term optimization system and method for multi-source power system with wind power access
Technical Field
The invention relates to the field of power systems, in particular to a short-term optimization system and method of a multi-source power system with wind power access.
Background
With the arrival of the new energy generation era, the national electric power industry operation condition data published by the middle power federation in 2020 shows that the average utilization hour of the national grid-connected wind power equipment is 1912 hours, which is far lower than the average value of 3384 hours of the national power equipment. And the photovoltaic does not generate electricity at night and is greatly influenced by rainy weather, so that the average utilization hours of the photovoltaic equipment is lower than that of wind power and is only 1203 hours. The economical efficiency of the system is seriously influenced by the frequent starting and stopping of thermal power and deep peak regulation caused by the serious wind abandoning and light abandoning and the real-time balance of the electric power and the electric quantity after the wind and the light are accessed. Hydropower station has large capacity and high response speed, so that a large amount of peak regulation tasks are undertaken at present, but the space for improving the regulation capacity of a power system by increasing the installed capacity of the hydropower station is very limited due to high site selection requirement, large environmental influence and difficult settlement of immigration of the hydropower station.
At present, few researches on short-term coordination optimization of daily peak regulation of nuclear power participation in a multi-source power system are conducted at home and abroad. The literature discusses the optimized scheduling of the power system with the nuclear power participating in peak shaving, but the consideration of new energy is lacked, and the mode of the nuclear power participating in peak shaving is simple and fixed. The literature discusses the coordinated optimization scheduling of nuclear power and wind power, but wind power, nuclear power and pumped storage are only considered in the example, a certain difference is formed between the example and the actual power system, and the nuclear power peak regulation mode is only refined in the peak regulation depth. The literature discusses multi-source coordination optimization of nuclear-fire-wind-energy storage, and the literature discusses multi-source coordination optimization of the nuclear-fire-wind-P2G technology, but the regulation modes of nuclear power are all fixed modes of 12-3-6-3, and the mode cannot give full play to the peak regulation performance of a new generation of nuclear power unit. The literature considers the flexible peak regulation of nuclear power in the multi-source coordination optimization of nuclear-fire-wind-energy storage, but the constraint compactness is not enough. According to the short-term optimization method of the multi-source system, wind power, photovoltaic power, nuclear power, thermal power and hydroelectric power are completely considered according to the actual situation of the current power system, the high proportion of the installed capacity of the wind and the installed capacity of the light to the total installed capacity of the system is set according to the development trend, a nuclear power flexible and adjustable model is provided, the nuclear power flexible and adjustable model has three-gear ascending/descending power rate, two-gear low power level and 1-2 times of daily peak regulation times, is compact and practical in constraint and can bear the peak regulation task of the system. Practice shows that the model has application value, and wind power and photovoltaic absorption capacity and system economy can be improved.
Therefore, in order to solve the problems in the prior art, it is important to provide a short-term optimization system of a multi-source power system with wind power access, which has good safety performance and strong sustainability.
Disclosure of Invention
In order to overcome the problems in the prior art, the invention provides a short-term optimization system of a multi-source power system with wind power access, and the method has the advantages of good safety, strong sustainability, good applicability and the like.
In order to achieve the purpose, the invention adopts the following technical scheme:
a short-term optimization system of a multi-source power system accessed by wind power comprises a processor, a photovoltaic unit output calculation unit connected with a photovoltaic unit, a wind power unit output calculation unit connected with the wind power unit, a thermal power unit output calculation unit connected with the thermal power unit and a hydroelectric power unit output calculation unit connected with the hydroelectric power unit; the photovoltaic unit output calculation unit is configured to calculate the light abandoning cost of the photovoltaic unit and output constraint to the photovoltaic unit; the wind turbine generator is configured to calculate the wind abandoning cost of the wind turbine generator and output constraint to the wind turbine generator; the thermal power generating unit is configured to calculate the power generation cost of the thermal power generating unit, and output upper and lower output limit constraints, climbing constraints and minimum start-stop time constraints to the thermal power generating unit; the hydroelectric generating set is configured to calculate the water abandoning cost of the hydroelectric generating set and output upper and lower limit constraints of output, energy conversion constraints and water quantity constraints to the hydroelectric generating set.
The invention also provides a short-term optimization method of the multi-source power system accessed by the wind power, and the short-term optimization method is applied to the short-term optimization system; the method comprises the following steps:
s1: intercepting a photovoltaic unit output constraint calculation instruction, and transmitting instruction information carried by the photovoltaic unit output constraint calculation instruction to a system; calculating the light abandoning cost and output constraint of the photovoltaic unit according to the instruction information, and outputting the light abandoning cost and output constraint to the photovoltaic unit;
s2: intercepting a wind turbine safety constraint calculation instruction, and transmitting instruction information carried by the wind turbine safety constraint calculation instruction to a system; according to the instruction information, calculating the wind abandoning cost and safety constraint of the wind turbine generator, and outputting the wind abandoning cost and safety constraint to the wind turbine generator;
s3: intercepting a thermal power unit output constraint calculation instruction, and transmitting instruction information carried by the thermal power unit output constraint calculation instruction to a system; calculating the power generation cost, the upper and lower output boundary constraints, the climbing constraints and the minimum start-stop time constraints of the thermal power generating unit according to the instruction information, and outputting the constraints to the thermal power generating unit;
s4: intercepting a hydroelectric generating set output constraint calculation instruction, and transmitting instruction information carried by the hydroelectric generating set output constraint calculation instruction to a system; and calculating the water abandoning cost, the upper and lower output boundary constraints, the energy conversion constraints and the water quantity constraints of the hydroelectric generating set according to the instruction information, and outputting the water abandoning cost, the upper and lower output boundary constraints, the energy conversion constraints and the water quantity constraints to the hydroelectric generating set.
Preferably, in the step S1, calculating the light abandoning cost and the output constraint of the photovoltaic unit includes the following steps:
s1-1: when calculating the light abandoning cost of the photovoltaic unit, the calculation formula of the light abandoning cost is set as
Figure BDA0003056842370000031
Execute and calculate CPA value; wherein Pj, tThe actual maximum output of the photovoltaic unit j at the time t, Prj and t are the actual output of the optimized unit j at the time t, and lambdaPThe light abandonment penalty factor can be adjusted to determine the influence degree of the light abandonment on the system economy;
s1-2: calculating the output constraint of the photovoltaic unit, depicting the photovoltaic output by using the uncertain collection, and setting and executing the output constraint calculation formula of the photovoltaic unit as
Figure BDA0003056842370000032
Wherein, Pj,tIs the actual maximum output of the photovoltaic unit j at the moment t,
Figure BDA0003056842370000041
the predicted capacity of the unit j at the time t,
Figure BDA0003056842370000042
for the allowable deviation between the two, NRNumber of photovoltaic units, gammat∈[0，NR]For uncertain budget of t period, for adjusting robustness and economy, ηj,t∈[0,1]。
Preferably, in the step S2, the calculating the wind curtailment cost and the safety constraint of the wind turbine includes the following steps:
s2-1: when calculating the wind abandoning cost of the wind turbine generator, the calculation formula of the wind abandoning cost is set as
Figure BDA0003056842370000043
Execute and calculate CWA value; wherein, Pl,tIs the actual maximum output of the wind turbine generator l at the moment t,
Figure BDA0003056842370000044
for optimizing the actual output of the unit l in the time period t, lambdaWThe wind abandonment penalty factor can be adjusted to determine the influence degree of the wind abandonment on the system economy;
s2-2: calculating safety constraints of the wind turbine generator, including upper and lower output bound constraints, climbing constraints and an actual maximum output value; the method specifically comprises the following steps:
s2-2-1: the upper and lower limit constraint calculation formula of the output of the wind turbine generator is set and executed as
Figure BDA0003056842370000045
Wherein the content of the first and second substances,P l，t、
Figure BDA0003056842370000046
the upper and lower limit constraints of the output, P, of the upper and lower limit scenes respectivelyl.t.1、Pl,t,2In the two limit scenes 1/2, the output of the unit l in the time period t is respectively;
s2-2-2: the climbing constraint calculation formula of the wind turbine generator is set and executed as
Figure BDA0003056842370000047
Figure BDA0003056842370000048
Wherein the content of the first and second substances,
Figure BDA0003056842370000049
is the maximum ramp rate;
s2-2-3: setting and executing the actual maximum output calculation formula of the wind turbine generator as | Pl,t-Pl.t.2|+|Pl,t-Pl.t.1|＝|Pl,t，2-Pl.t.1Wherein the actual maximum output calculated by the formula lies between two extreme scenarios; compared with the common limit scene, the improved limit scene has the output boundary and the maximum climbing amplitude, corresponds to the worst wind power output condition, and ensures that the calculation results of the two limit scenes can represent all wind power output conditions in the boundary by 100%.
Preferably, in step S3, calculating the power generation cost, the upper and lower limit constraints of output, the hill climbing constraint, and the minimum start-stop time constraint of the thermal power generating unit specifically includes the following steps:
s3-1: setting the cost of electricity generation when calculating the cost of electricity generation for a thermal power generating unitIs calculated by the formula
Figure BDA0003056842370000051
Execute and calculate CFA value; wherein I is the total number of the units, T is the total number of time periods in the scheduling period, CFFor the total cost, fi, t, CTi, t, CDi, t, CRi and t respectively represent the fuel cost, the start-stop cost, the deep peak regulation cost and the reserve capacity cost of the ith thermal power generating unit in a t period;
s3-2: calculating the upper and lower bound of the thermal power generating unit, and setting and executing the calculation formula of the upper and lower bound of the output of the thermal power generating unit as
Figure BDA0003056842370000052
Wherein di and t are variables of 0 to 1, 1 is taken to represent that the unit is in an operating state, and 0 is taken to represent that the unit is in an off state.P i,t、
Figure BDA0003056842370000053
Respectively representing the lower limit and the upper limit of the output of the ith thermal power generating unit in the t period;
s3-3: calculating the climbing constraint of the thermal power generating unit, and setting and executing a climbing constraint calculation formula of the thermal power generating unit as-Pi,down≤Pi,t-Pi,t-1≤Pi,upWherein P isi,up、Pi,downRespectively the climbing speed and the landslide speed of the unit i;
s3-4: calculating the minimum start-stop time constraint of the thermal power generating unit, and setting and executing a minimum start-stop time constraint calculation formula of the thermal power generating unit as
Figure BDA0003056842370000054
Wherein, Ton,i,t、Toff,i,tThe continuous on-time and the continuous off-time.T on,iAndT off,ithe minimum startup time and the minimum shutdown time of the unit i are respectively.
Specifically, the power generation cost of the thermal power generating unit mainly comprises fuel, start-stop, deep peak regulation and reserve capacity cost.
Preferably, in step S4, calculating the water abandoning cost, the upper and lower limit constraints of the output, the energy conversion constraint, and the water amount constraint of the hydroelectric generating set specifically includes the following steps:
s4-1: when calculating the water abandoning cost of the hydroelectric generating set, a calculation formula for setting the water abandoning cost is
Figure BDA0003056842370000055
Execute and calculate CSA value; wherein λ isSTaking 250 yuan/MWh;
s4-2: the upper and lower output constraints of the hydroelectric generating set are calculated, and the calculation formula for setting and executing the upper and lower output constraints of the hydroelectric generating set is
Figure BDA0003056842370000056
Wherein the content of the first and second substances, hP、
Figure BDA0003056842370000057
respectively the minimum technical output and the maximum output of the hydroelectric generating set h;
s4-3: calculating energy conversion constraint of the hydroelectric generating set, and setting and executing a calculation formula P of the energy conversion constraint of the hydroelectric generating seth,t＝0.00981ηhQh,tHh,tWherein, in the formula, etahFor the efficiency of the hydropower station h, Qh,t、 Hh,tRespectively the flow and the water head height for generating power of the hydropower station h in a time period t;
s4-4: calculating the water quantity constraint of the hydroelectric generating set, and setting a calculation formula as
Figure BDA0003056842370000061
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor implements a short term optimization method as described above.
The invention further provides a computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the short-term optimization method as described above.
The invention has the beneficial effects that:
the invention provides a short-term optimization system and a short-term optimization method for a multi-source power system with wind power access. The system has excellent regulation performance, has the advantages of good safety, strong sustainability, good applicability and the like, and can improve the wind power and photovoltaic absorption capacity and the economical efficiency of the system.
Drawings
FIG. 1 is a block diagram of a short term optimization system for a multi-source power system according to the present invention;
fig. 2 is a schematic flow chart of a short-term optimization method of a multi-source power system provided by the invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the drawings.
As shown in fig. 1, the present embodiment provides a short-term optimization system of a multi-source power system with wind power access, which includes a processor, a photovoltaic unit output calculation unit connected to a photovoltaic unit, a wind power unit output calculation unit connected to the wind power unit, a thermal power unit output calculation unit connected to a thermal power unit, and a hydroelectric power unit output calculation unit connected to a hydroelectric power unit; the photovoltaic unit output calculation unit is configured to calculate the light abandoning cost of the photovoltaic unit and output constraint to the photovoltaic unit; the wind turbine generator is configured to calculate the wind abandoning cost of the wind turbine generator and output constraint to the wind turbine generator; the thermal power generating unit is configured to calculate the power generation cost of the thermal power generating unit, and output upper and lower output limit constraints, climbing constraints and minimum start-stop time constraints to the thermal power generating unit; the hydroelectric generating set is configured to calculate the water abandoning cost of the hydroelectric generating set and output upper and lower limit constraints of output, energy conversion constraints and water quantity constraints to the hydroelectric generating set;
as shown in fig. 2, the present embodiment further provides a short-term optimization method of a multi-source power system accessed by wind power, where the short-term optimization method is applied to the aforementioned short-term optimization system; the method comprises the following steps:
s1: intercepting a photovoltaic unit output constraint calculation instruction, and transmitting instruction information carried by the photovoltaic unit output constraint calculation instruction to a system; calculating the light abandoning cost and output constraint of the photovoltaic unit according to the instruction information, and outputting the light abandoning cost and output constraint to the photovoltaic unit;
s2: intercepting a wind turbine safety constraint calculation instruction, and transmitting instruction information carried by the wind turbine safety constraint calculation instruction to a system; according to the instruction information, calculating the wind abandoning cost and safety constraint of the wind turbine generator, and outputting the wind abandoning cost and safety constraint to the wind turbine generator;
s3: intercepting a thermal power unit output constraint calculation instruction, and transmitting instruction information carried by the thermal power unit output constraint calculation instruction to a system; calculating the power generation cost, the upper and lower output boundary constraints, the climbing constraints and the minimum start-stop time constraints of the thermal power generating unit according to the instruction information, and outputting the constraints to the thermal power generating unit;
s4: intercepting a hydroelectric generating set output constraint calculation instruction, and transmitting instruction information carried by the hydroelectric generating set output constraint calculation instruction to a system; and calculating the water abandoning cost, the upper and lower output boundary constraints, the energy conversion constraints and the water quantity constraints of the hydroelectric generating set according to the instruction information, and outputting the water abandoning cost, the upper and lower output boundary constraints, the energy conversion constraints and the water quantity constraints to the hydroelectric generating set.
In this embodiment, in the step S1, calculating the light abandoning cost and the output constraint of the photovoltaic unit includes the following steps:
s1-1: when calculating the light abandoning cost of the photovoltaic unit, the calculation formula of the light abandoning cost is set as
Figure BDA0003056842370000071
Execute and calculate CPA value; wherein Pj, t is the actual maximum output of the photovoltaic unit j at the time t, Prj, t is the actual output of the optimized unit j at the time t, and lambdaPThe light abandonment penalty factor can be adjusted to determine the influence degree of the light abandonment on the system economy;
s1-2: calculating the output constraint of the photovoltaic unit without usingDetermining the output of the collection description photovoltaic, setting and executing an output constraint calculation formula of the photovoltaic unit as
Figure BDA0003056842370000072
Wherein, Pj,tIs the actual maximum output of the photovoltaic unit j at the moment t,
Figure BDA0003056842370000073
the predicted capacity of the unit j at the time t,
Figure BDA0003056842370000074
for the allowable deviation between the two, NRNumber of photovoltaic units, gammat∈[0，NR]For uncertain budget of t period, for adjusting robustness and economy, ηj,t∈[0,1]。
In this embodiment, in the step S2, the calculating the wind curtailment cost and the safety constraint of the wind turbine includes the following steps:
s2-1: when calculating the wind abandoning cost of the wind turbine generator, the calculation formula of the wind abandoning cost is set as
Figure BDA0003056842370000081
Execute and calculate CWA value; wherein, Pl,tIs the actual maximum output of the wind turbine generator l at the moment t,
Figure BDA0003056842370000082
for optimizing the actual output of the unit l in the time period t, lambdaWThe wind abandonment penalty factor can be adjusted to determine the influence degree of the wind abandonment on the system economy;
s2-2: calculating safety constraints of the wind turbine generator, including upper and lower output bound constraints, climbing constraints and an actual maximum output value; the method specifically comprises the following steps:
s2-2-1: the upper and lower limit constraint calculation formula of the output of the wind turbine generator is set and executed as
Figure BDA0003056842370000083
Wherein，P l，t、
Figure BDA0003056842370000084
The upper and lower limit constraints of the output, P, of the upper and lower limit scenes respectivelyl.t.1、Pl,t,2In the two limit scenes 1/2, the output of the unit l in the time period t is respectively;
s2-2-2: the climbing constraint calculation formula of the wind turbine generator is set and executed as
Figure BDA0003056842370000085
Figure BDA0003056842370000086
Wherein the content of the first and second substances,
Figure BDA0003056842370000087
is the maximum ramp rate;
s2-2-3: setting and executing the actual maximum output calculation formula of the wind turbine generator as | Pl,t-Pl.t.2|+|Pl,t-Pl.t.1|＝|Pl,t，2-Pl.t.1Wherein the actual maximum output calculated by the formula lies between two extreme scenarios; compared with the common limit scene, the improved limit scene has the output boundary and the maximum climbing amplitude, corresponds to the worst wind power output condition, and ensures that the calculation results of the two limit scenes can represent all wind power output conditions in the boundary by 100%.
In this embodiment, in step S3, calculating the power generation cost, the upper and lower limit constraints of output, the hill climbing constraint, and the minimum start-stop time constraint of the thermal power generating unit specifically includes the following steps:
s3-1: when calculating the power generation cost of the thermal power generating unit, setting a calculation formula of the power generation cost as
Figure BDA0003056842370000088
Execute and calculate CFA value; wherein I is the total number of the units, T is the total number of time periods in the scheduling period, CFFor the total cost, fi, t, CTi, t, CDi, t, CRi, t respectively represent the ith stationThe fuel cost, the start-stop cost, the deep peak regulation cost and the reserve capacity cost of the thermal power generating unit in the time period t;
s3-2: calculating the upper and lower bound of the thermal power generating unit, and setting and executing the calculation formula of the upper and lower bound of the output of the thermal power generating unit as
Figure BDA0003056842370000091
Wherein di and t are variables of 0 to 1, 1 is taken to represent that the unit is in an operating state, and 0 is taken to represent that the unit is in an off state.P i,t、
Figure BDA0003056842370000092
Respectively representing the lower limit and the upper limit of the output of the ith thermal power generating unit in the t period;
s3-3: calculating the climbing constraint of the thermal power generating unit, and setting and executing a climbing constraint calculation formula of the thermal power generating unit as-Pi,down≤Pi,t-Pi,t-1≤Pi,upWherein P isi,up、Pi,downRespectively the climbing speed and the landslide speed of the unit i;
s3-4: calculating the minimum start-stop time constraint of the thermal power generating unit, and setting and executing a minimum start-stop time constraint calculation formula of the thermal power generating unit as
Figure BDA0003056842370000093
Wherein, Ton,i,t、Toff,i,tThe continuous on-time and the continuous off-time.T on,iAndT off,ithe minimum startup time and the minimum shutdown time of the unit i are respectively.
Specifically, the power generation cost of the thermal power generating unit mainly comprises fuel, start-stop, deep peak regulation and reserve capacity cost.
In this embodiment, in step S4, calculating the water abandoning cost, the upper and lower limit constraints of the output, the energy conversion constraint, and the water amount constraint of the hydroelectric generating set specifically includes the following steps:
s4-1: when calculating the water abandoning cost of the hydroelectric generating set, a calculation formula for setting the water abandoning cost is
Figure BDA0003056842370000094
Execute and calculate CSA value; wherein λ isSTaking 250 yuan/MWh;
s4-2: the upper and lower output constraints of the hydroelectric generating set are calculated, and the calculation formula for setting and executing the upper and lower output constraints of the hydroelectric generating set is
Figure BDA0003056842370000095
Wherein the content of the first and second substances, hP、
Figure BDA0003056842370000096
respectively the minimum technical output and the maximum output of the hydroelectric generating set h;
s4-3: calculating energy conversion constraint of the hydroelectric generating set, and setting and executing a calculation formula P of the energy conversion constraint of the hydroelectric generating seth,t＝0.00981ηhQh,tHh,tWherein, in the formula, etahFor the efficiency of the hydropower station h, Qh,t、 Hh,tRespectively the flow and the water head height for generating power of the hydropower station h in a time period t;
s4-4: calculating the water quantity constraint of the hydroelectric generating set, and setting a calculation formula as
Figure BDA0003056842370000101
Specifically, in this embodiment, in the short-term optimization system and method, for a new potential of a high-proportion wind power and photovoltaic access power system and a higher peak load regulation pressure of the power system facing the high-proportion wind power and photovoltaic access power system, a multi-source system short-term coordination optimization model with flexible schedulability for nuclear power under high-proportion wind and photovoltaic access is constructed in the technical scheme, penalty factors are set for wind curtailment and light curtailment, and optimization is performed by taking the minimum total cost as a target function to ensure wind power and photovoltaic consumption and system economy. Compared with the prior art, the method has the following beneficial effects:
1) compared with the traditional nuclear power, the proposed model does not participate in peak regulation, and the nuclear power is subjected to peak regulation in a fixed mode, so that the model has higher wind power and photovoltaic absorption capacities; 2) the optimization result economy is effectively improved while the maximum wind power consumption is ensured; 3) the proposed model can still realize full wind power consumption when other models need to abandon wind, so that the application range is wider while the economy is improved; 4) the provided optimization model can effectively reduce the starting and stopping times and the deep adjustment cost of the thermal power generating unit, and is more environment-friendly.
Variations and modifications to the above-described embodiments may occur to those skilled in the art having the benefit of the teachings and teachings of the above description. Therefore, the present invention is not limited to the specific embodiments disclosed and described above, and some modifications and variations of the present invention should fall within the scope of the claims of the present invention. Furthermore, although specific terms are employed herein, they are used in a generic and descriptive sense only and not for purposes of limitation.

Claims (8)

1. A short-term optimization system of a multi-source power system accessed by wind power is characterized by comprising a processor, a photovoltaic unit output calculation unit connected with a photovoltaic unit, a wind power unit output calculation unit connected with the wind power unit, a thermal power unit output calculation unit connected with the thermal power unit and a hydroelectric power unit output calculation unit connected with the hydroelectric power unit; the photovoltaic unit output calculation unit is configured to calculate the light abandoning cost of the photovoltaic unit and output constraint to the photovoltaic unit; the wind turbine generator is configured to calculate the wind abandoning cost of the wind turbine generator and output constraint to the wind turbine generator; the thermal power generating unit is configured to calculate the power generation cost of the thermal power generating unit, and output upper and lower output limit constraints, climbing constraints and minimum start-stop time constraints to the thermal power generating unit; the hydroelectric generating set is configured to calculate the water abandoning cost of the hydroelectric generating set and output upper and lower limit constraints of output, energy conversion constraints and water quantity constraints to the hydroelectric generating set.
2. A short-term optimization method of a wind power accessed multi-source power system, characterized in that the short-term optimization method is applied to the short-term optimization system of claim 1; the method comprises the following steps:
s1: intercepting a photovoltaic unit output constraint calculation instruction, and transmitting instruction information carried by the photovoltaic unit output constraint calculation instruction to a system; calculating the light abandoning cost and output constraint of the photovoltaic unit according to the instruction information, and outputting the light abandoning cost and output constraint to the photovoltaic unit;
s2: intercepting a wind turbine safety constraint calculation instruction, and transmitting instruction information carried by the wind turbine safety constraint calculation instruction to a system; according to the instruction information, calculating the wind abandoning cost and safety constraint of the wind turbine generator, and outputting the wind abandoning cost and safety constraint to the wind turbine generator;
s3: intercepting a thermal power unit output constraint calculation instruction, and transmitting instruction information carried by the thermal power unit output constraint calculation instruction to a system; calculating the power generation cost, the upper and lower output boundary constraints, the climbing constraints and the minimum start-stop time constraints of the thermal power generating unit according to the instruction information, and outputting the constraints to the thermal power generating unit;
s4: intercepting a hydroelectric generating set output constraint calculation instruction, and transmitting instruction information carried by the hydroelectric generating set output constraint calculation instruction to a system; and calculating the water abandoning cost, the upper and lower output boundary constraints, the energy conversion constraints and the water quantity constraints of the hydroelectric generating set according to the instruction information, and outputting the water abandoning cost, the upper and lower output boundary constraints, the energy conversion constraints and the water quantity constraints to the hydroelectric generating set.
3. The short term optimization method according to claim 2, wherein in the step S1, calculating the light rejection cost and output constraint of the photovoltaic unit comprises the steps of:
s1-1: when calculating the light abandoning cost of the photovoltaic unit, the calculation formula of the light abandoning cost is set as
Figure FDA0003056842360000021
Execute and calculate CPA value; wherein Pj, t is the actual maximum output of the photovoltaic unit j at the time t, Prj, t is the actual output of the optimized unit j at the time t, and lambdaPA penalty factor for discarding light;
s1-2: calculating the output constraint of the photovoltaic unit, depicting the photovoltaic output by using the uncertain collection, and setting and executing the output constraint calculation formula of the photovoltaic unit as
Figure FDA0003056842360000022
Wherein, Pj,tIs the actual maximum output of the photovoltaic unit j at the moment t,
Figure FDA0003056842360000023
the predicted capacity of the unit j at the time t,
Figure FDA0003056842360000024
for the allowable deviation between the two, NRNumber of photovoltaic units, gammat∈[0，NR]For uncertain budget of t period, for adjusting robustness and economy, ηj,t∈[0,1]。
4. The short-term optimization method according to claim 2, wherein in the step S2, calculating the wind curtailment cost and the safety constraint of the wind turbine includes the steps of:
s2-1: when calculating the wind abandoning cost of the wind turbine generator, the calculation formula of the wind abandoning cost is set as
Figure FDA0003056842360000025
Execute and calculate CWA value; wherein, Pl,tIs the actual maximum output of the wind turbine generator l at the moment t,
Figure FDA0003056842360000026
for optimizing the actual output of the unit l in the time period t, lambdaWThe wind abandonment penalty factor can be adjusted to determine the influence degree of the wind abandonment on the system economy;
s2-2: calculating safety constraints of the wind turbine generator, including upper and lower output bound constraints, climbing constraints and an actual maximum output value; the method specifically comprises the following steps:
s2-2-1: the upper and lower limit constraint calculation formula of the output of the wind turbine generator is set and executed as
Figure FDA0003056842360000027
Wherein the content of the first and second substances,P l，t、
Figure FDA0003056842360000028
the upper and lower limit constraints of the output, P, of the upper and lower limit scenes respectivelyl.t.1、Pl,t,2In the two limit scenes 1/2, the output of the unit l in the time period t is respectively;
s2-2-2: the climbing constraint calculation formula of the wind turbine generator is set and executed as
Figure FDA0003056842360000031
Figure FDA0003056842360000032
Wherein the content of the first and second substances,
Figure FDA0003056842360000033
is the maximum ramp rate;
s2-2-3: setting and executing the actual maximum output calculation formula of the wind turbine generator as | Pl,t-Pl.t.2|+|Pl,t-Pl.t.1|＝|Pl,t，2-Pl.t.1|。
5. The short-term optimization method according to claim 2, wherein in the step S3, calculating the power generation cost, the upper and lower output boundary constraints, the hill climbing constraint and the minimum start-stop time constraint of the thermal power generating unit comprises the following steps:
s3-1: when calculating the power generation cost of the thermal power generating unit, setting a calculation formula of the power generation cost as
Figure FDA0003056842360000034
Execute and calculate CFA value; wherein I is the total number of the units, T is the total number of time periods in the scheduling period, CFFor the total cost, fi, t, CTi, t, CDi, t, CRi and t respectively represent the fuel cost, the start-stop cost, the deep peak regulation cost and the reserve capacity cost of the ith thermal power generating unit in a t period;
s3-2: calculating upper and lower bound of thermal power generating unit, and setting and executing upper and lower bound of output of thermal power generating unitIs calculated by the formula
Figure FDA0003056842360000035
Wherein di and t are variables of 0 to 1, 1 is taken to represent that the unit is in an operating state, and 0 is taken to represent that the unit is in an off state;P i,t、
Figure FDA0003056842360000036
respectively representing the lower limit and the upper limit of the output of the ith thermal power generating unit in the t period;
s3-3: calculating the climbing constraint of the thermal power generating unit, and setting and executing a climbing constraint calculation formula of the thermal power generating unit as-Pi,down≤Pi,t-Pi,t-1≤Pi,upWherein P isi,up、Pi,downRespectively the climbing speed and the landslide speed of the unit i;
s3-4: calculating the minimum start-stop time constraint of the thermal power generating unit, and setting and executing a minimum start-stop time constraint calculation formula of the thermal power generating unit as
Figure FDA0003056842360000037
Wherein, Ton,i,t、Toff,i,tThe continuous startup time and the continuous shutdown time;T on,iandT off,ithe minimum startup time and the minimum shutdown time of the unit i are respectively.
6. The short-term optimization method according to claim 2, wherein in step S4, the method for calculating the water abandonment cost, the upper and lower limit constraints of the output, the energy conversion constraint and the water quantity constraint of the hydroelectric generating set specifically comprises the following steps:
s4-1: when calculating the water abandoning cost of the hydroelectric generating set, a calculation formula for setting the water abandoning cost is
Figure FDA0003056842360000041
Execute and calculate CSA value; wherein λ isSTaking 250 yuan/MWh;
s4-2: calculating the upper and lower limit constraints of the output of the hydroelectric generating set, setting and executingThe calculation formula of the upper and lower output boundary constraints of the running water generating set is
Figure FDA0003056842360000042
Wherein the content of the first and second substances, hP、
Figure FDA0003056842360000043
respectively the minimum technical output and the maximum output of the hydroelectric generating set h;
s4-3: calculating energy conversion constraint of the hydroelectric generating set, and setting and executing a calculation formula P of the energy conversion constraint of the hydroelectric generating seth,t＝0.00981ηhQh,tHh,tWherein, in the formula, etahFor the efficiency of the hydropower station h, Qh,t、Hh,tRespectively the flow and the water head height for generating power of the hydropower station h in a time period t;
s4-4: calculating the water quantity constraint of the hydroelectric generating set, and setting a calculation formula as
Figure FDA0003056842360000044
7. An electronic device, characterized in that: comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the short term optimization method as claimed in any one of claims 2-6 when executing the program.
8. A computer-readable medium having a computer program stored thereon, characterized in that: the program, when executed by a processor, implements a short term optimization method as claimed in any one of claims 2-6.
CN202110502189.4A 2021-05-08 2021-05-08 Short-term optimization system and method for multi-source power system with wind power access Withdrawn CN113364044A (en)

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