CN109038589B - Multi-provincial power grid coordinated operation production simulation method - Google Patents

Multi-provincial power grid coordinated operation production simulation method Download PDF

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CN109038589B
CN109038589B CN201810872907.5A CN201810872907A CN109038589B CN 109038589 B CN109038589 B CN 109038589B CN 201810872907 A CN201810872907 A CN 201810872907A CN 109038589 B CN109038589 B CN 109038589B
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provincial
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CN109038589A (en
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傅旭
孙沛
许美朋
李富春
李丁
王昭
范丽霞
杨攀峰
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Northwest Electric Power Design Institute of China Power Engineering Consulting Group
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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
    • H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • 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
    • H02J3/48—Controlling the sharing of the in-phase component
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand

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Abstract

The invention provides a multi-provincial power grid coordinated operation production simulation method, which comprises the steps of 1) calculating the production simulation operation mode of independent operation conditions of each provincial, and solving a power exchange curve with an external power grid; 2) calculating positive and negative adjusting capacities which can be provided for other provinces in each province under the condition that the starting mode of the thermal power generating unit is unchanged according to the production simulation calculation result; 3) solving a multi-provincial coordinated operation mode by adopting a quadratic programming model according to the power exchange requirement and the positive and negative regulation capacity of each provincial under the independent operation condition; 4) gradually increasing the power transmission capacity of the discontinuous surfaces of each province, repeatedly solving the multi-province coordination optimization model in the step 3), and calculating the multi-province power grid coordination operation mode under different power transmission capacity constraints of each province. The method can be used for carrying out multi-provincial power grid coordinated operation production simulation which is suitable for a dispatching mode taking the province as an entity, and is suitable for dispatching mode arrangement of the power grid in China, determination of inter-provincial tie line power and the like.

Description

Multi-provincial power grid coordinated operation production simulation method
Technical Field
The invention relates to the field of planning and operation scheduling of power systems, in particular to a multi-provincial power grid coordinated operation production simulation method.
Background
With the large-scale grid connection of new energy power generation such as wind power and photovoltaic, the peak load regulation pressure of a power grid is larger and larger. Due to the insufficient capability of locally absorbing new energy, the new energy is required to be sent out and coordinately operated by multiple provinces in northwest provinces to solve the problem of electricity abandonment of the new energy. In theory, multiple provinces can be combined into one province for unified optimization in multi-province power grid coordinated operation, but the following problems exist: (1) the method does not conform to the power grid dispatching mode taking provinces as entities in China; (2) when multiple provinces are combined into one province for production simulation, the startup is not uniform. (3) Imbalance in the boot-up mode causes excessive tie-line power exchange. Therefore, the multi-provincial power grid coordination operation mode which not only ensures the operation independence of each provincial region, but also can realize the intercoordination among the provincial regions has great significance for the arrangement of the power grid dispatching mode in China, the determination of the inter-provincial tie line power and the like.
Disclosure of Invention
The invention aims to provide a multi-provincial power grid coordinated operation production simulation method suitable for a dispatching mode with the province as an entity in China. The method can be used for carrying out multi-provincial power grid coordinated operation production simulation which is suitable for a dispatching mode taking the province as an entity, and is suitable for dispatching mode arrangement of the power grid in China, determination of inter-provincial tie line power and the like.
In order to achieve the purpose, the invention adopts the following technical scheme:
a multi-provincial power grid coordinated operation production simulation method comprises the following steps:
1) calculating a production simulation operation mode of 8760 hours all year round under the condition that each province operates independently to obtain a power exchange curve of each province and an external power grid;
2) calculating positive and negative adjusting capacities which can be provided for other provinces by each province under the condition that the starting mode of the thermal power generating unit is unchanged according to the independent operation production simulation calculation result of each province;
3) solving a coordination operation mode of each province by adopting a quadratic programming mathematical model under the condition of meeting the constraint of the transmission capacity of the section of each province according to the power exchange requirement and the positive and negative regulation capacity of each province under the condition of independent operation of each province;
4) and (3) gradually increasing the power transmission capacity of the discontinuous surfaces of each province, repeating the multi-province coordination optimization model in the step 3), and calculating the multi-province power grid coordination operation mode under different power transmission capacity constraints between provinces.
As a further improvement of the invention, the production simulation operation mode in the step 1) comprises power supply planning, load prediction, new energy power generation, a daily load characteristic curve, an annual load characteristic curve and a direct current transmission curve.
As a further improvement of the present invention, in step 1), when each province operates independently, a mixed integer linear optimization model is adopted to obtain the simulation result of each province including multiple types of power supplies, which takes the lowest comprehensive cost as an objective function, that is:
Figure BDA0001752587660000021
in the formula: citThe method comprises the steps of obtaining a power generation cost function of a thermal power generating unit i in a time period t; pi,tThe active power output of the thermal power generating unit i in the time period t is obtained; qit,upAnd Qit,offStarting and stopping expenses of the thermal power generating unit i in a time period t are respectively set; u shapeitAnd Ui,t-1The operation states of the thermal power generating unit i in time t and t-1 are respectively set; lambda [ alpha ]1、λ2、λ3、λ4Respectively comprising wind abandoning, light abandoning, water abandoning and penalty factors for efficiency reduction caused by peak regulation operation of the photo-thermal unit; lambda [ alpha ]5Punishment for load loss; lambda [ alpha ]6Punishment for lost reserve; wbtThe output of the wind farm b in the time period t;
Figure BDA0001752587660000022
the predicted output force of the wind farm b in the time period t is obtained; sbtThe output of the photovoltaic power station b in the time period t;
Figure BDA0001752587660000023
the predicted output of the photovoltaic power station b in the time period t is obtained; eitThe method comprises the following steps of (1) discarding water of a hydroelectric generating set at a time period i t; lb,tAnd hb,tRespectively the load loss amount and the standby loss amount of the node b at the time t; hitThe efficiency of the photothermal unit i in the time period t is improved; mit,upAnd Mit,offThe starting cost and the stopping cost of the photothermal unit i in the time period t are respectively;
Figure BDA0001752587660000031
the running states of the photo-thermal unit i at the time t and the time t-1 respectively
Figure BDA0001752587660000032
Active power output of the photo-thermal unit i in a time period t; g is the set of all thermal power generating units; m is the set of all hydroelectric generating sets; n is the set of all photo-thermal units; t is the set of all time periods; b is the set of all nodes.
As a further improvement of the present invention, in step 2), the steps of calculating the positive and negative adjusting capacities under the independent operation condition of each province are as follows:
① recording the power exchange requirement curve at any time i in a certain province as
Figure BDA0001752587660000033
Wherein
Figure BDA0001752587660000034
Indicating that power needs to be delivered;
Figure BDA0001752587660000035
indicating a need for incoming power;
② calculate the positive and negative turndown capability of a certain province at any time i:
Figure BDA0001752587660000036
Figure BDA0001752587660000037
in the formula: u. ofijThe power-on state of the power supply j at the time i is 0/1 variable, 0 represents power-off, and 1 represents power-on; gijThe output of the power supply j at the moment i;
Figure BDA0001752587660000038
is the upper limit of the output of power j;
Figure BDA0001752587660000039
is the lower limit of the output of power j;
③ calculates the available positive and negative regulation capacity in a certain provincial scheduling period T:
Figure BDA00017525876600000310
as a further improvement of the present invention, in step 3), quadratic programming is adopted to coordinate the operation of each province, and the objective function is as follows:
Figure BDA00017525876600000311
in the formula: a isitThe power required to be sent out or received in at the moment t of the province i; n is the number of provinces; t is a scheduling period; the meaning of the objective function is to minimize the shortage of electric power in each province, even if the new energy is abandoned or the electric power is insufficient, that is, the power exchange requirement between each province is minimized.
For any time t the constraint is:
Figure BDA0001752587660000041
Figure BDA0001752587660000042
Figure BDA0001752587660000043
Figure BDA0001752587660000044
Figure BDA0001752587660000045
in the formula: o isijtPower sent from province i to province j at time t; i isijtReceiving power from province j at province i at time t;
Figure BDA0001752587660000046
the maximum power can be sent out in provincial region i at time t;
Figure BDA0001752587660000047
the maximum power can be received by province i at the time t;
Figure BDA0001752587660000048
the channel power transmission capacity for transmitting power from province i to province j at time t;
Figure BDA0001752587660000049
and transmitting power for the channel receiving power from the j province in the i province at the time t.
As a further improvement of the invention, in step 4), the power transmission capacity of the discontinuous surfaces of each province is gradually increased, and the multi-province coordination optimization calculation is repeatedly performed, so that the power transmission capacity requirement of the tie line between each province is determined.
Compared with the prior art, the invention has the beneficial effects that:
the method of the invention decomposes the multi-provincial power grid joint production operation simulation problem into two sub-problems of independent operation of each provincial and coordinated operation of the multi-provincial. In the sub-problem of independent operation, the power exchange curve with the external power grid and the positive and negative regulation capacity of each province under the independent operation mode of each province are solved; in the sub-problem of the coordinated operation, a multi-provincial coordinated operation mode which takes the minimum power exchange curve of each provincial region as a target is obtained through quadratic programming, and the constraint of the power transmission capacity of the inter-provincial connecting lines, the constraint of the positive and negative regulation capacities provided by each provincial region and the like are considered. The model not only ensures the operation independence of each province, but also realizes the mutual economy of each province, and avoids the problems of overlarge power exchange of the connecting lines between the provinces, uneven starting scale and the like. The solving method is greatly simplified, the physical meaning is clear, and the operation is simple. The method can be used for carrying out multi-provincial power grid coordinated operation production simulation which is suitable for a dispatching mode taking the province as an entity, and is suitable for dispatching mode arrangement of the power grid in China, determination of inter-provincial tie line power and the like.
Drawings
FIG. 1 is a computational flow diagram of the present invention.
Detailed Description
As shown in fig. 1, the method for simulating coordinated operation production of a multi-provincial power grid of the invention comprises the following steps:
1) and calculating the 8760-hour running mode in the whole year under the condition that each province runs independently to obtain the power exchange curve between each province and the external power grid.
When the production operation simulation is carried out on each province, the lowest comprehensive cost of the system is taken as a target function:
Figure BDA0001752587660000051
in the formula: citThe method comprises the steps of obtaining a power generation cost function of a thermal power generating unit i in a time period t; pi,tThe active power output of the thermal power generating unit i in the time period t is obtained; qit,upAnd Qit,offStarting and stopping expenses of the thermal power generating unit i in a time period t are respectively set; u shapeitAnd Ui,t-1The operation states of the thermal power generating unit i in time t and t-1 are respectively set; lambda [ alpha ]1、λ2、λ3、λ4Respectively comprising wind abandoning, light abandoning, water abandoning and penalty factors for efficiency reduction caused by peak regulation operation of the photo-thermal unit; lambda [ alpha ]5Punishment for load loss; lambda [ alpha ]6Punishment for lost reserve; wbtThe output of the wind farm b in the time period t;
Figure BDA0001752587660000052
the predicted output force of the wind farm b in the time period t is obtained; sbtThe output of the photovoltaic power station b in the time period t;
Figure BDA0001752587660000061
the predicted output of the photovoltaic power station b in the time period t is obtained; eitThe method comprises the following steps of (1) discarding water of a hydroelectric generating set at a time period i t; lb,tAnd hb,tRespectively the load loss amount and the standby loss amount of the node b at the time t; hitThe efficiency of the photothermal unit i in the time period t is improved; mit,upAnd Mit,offRespectively the start-up and shutdown costs of the photothermal unit i in the time interval t；
Figure BDA0001752587660000062
The running states of the photo-thermal unit i at the time t and the time t-1 respectively
Figure BDA0001752587660000063
Active power output of the photo-thermal unit i in a time period t; g is the set of all thermal power generating units; m is the set of all hydroelectric generating sets; n is the set of all photo-thermal units; t is the set of all time periods; b is the set of all nodes.
The constraints considered are:
① system balance constraints, power balance constraint, load backup constraint, peak shaving balance constraint, security boot constraint, etc.
② power station/unit operation constraints including upper and lower limits of power generation output of each power station/unit, upper and lower limits of reserve capacity of the bearing system, power balance constraint of the hydropower stations, daily and weekly power balance constraint of pumped storage power stations, shortest startup and shutdown time constraint during peak shaving operation of start and stop of the power stations, and the like.
③ photo-thermal power station constraints including unit thermal balance constraint, heat storage tank storage/heat release maximum and minimum power constraint, turbine maximum air inlet constraint, unit starting thermal power constraint, heat storage period regulation constraint and the like.
④ interzone tie line power constraints, transient stability limit constraints, thermal stability limit constraints, etc.
2) And calculating the positive and negative adjusting capability which can be provided for other provinces by each province under the condition that the starting mode of the thermal power generating unit is not changed according to the independent operation production simulation calculation result of each province.
Wherein, the calculation steps of the positive and negative adjusting capacity of each province are as follows:
① recording the power exchange requirement curve at any time i in a certain province as
Figure BDA0001752587660000064
Wherein
Figure BDA0001752587660000065
Indicating that power needs to be delivered;
Figure BDA0001752587660000066
indicating a need for incoming power.
② calculate the positive and negative adjustment capability available for a certain province at any time i:
Figure BDA0001752587660000071
Figure BDA0001752587660000072
in the formula: u. ofijThe power-on state of the power supply j at the time i is 0/1 variable, 0 represents power-off, and 1 represents power-on; gijThe output of the power supply j at the moment i;
Figure BDA0001752587660000073
is the upper limit of the output of power j;
Figure BDA0001752587660000074
the lower limit of the output of power j.
③ calculates the available positive and negative regulation capacity in a certain provincial scheduling period T:
Figure BDA0001752587660000075
3) and solving the coordination operation mode of each province by adopting a quadratic programming model under the condition of meeting the constraint of the transmission capacity of the section of each province according to the power exchange requirement and the positive and negative regulation capacity of each province under the condition of independent operation of each province.
The objective function of the quadratic programming model is:
Figure BDA0001752587660000076
in the formula: a isitThe power (power shortage) which needs to be sent out (new energy power abandoning) or received at t moment in the district i; n isThe number of provinces; t is the time number of the scheduling period. The meaning of the objective function is to minimize the shortage of electric power in each province, even if the new energy is abandoned or the electric power is insufficient, that is, the power exchange requirement between each province is minimized.
For any time t the constraint is:
Figure BDA0001752587660000077
Figure BDA0001752587660000078
Figure BDA0001752587660000081
Figure BDA0001752587660000082
Figure BDA0001752587660000083
in the formula: o isijtPower sent from province i to province j at time t; i isijtReceiving power from province j at province i at time t;
Figure BDA0001752587660000084
the maximum power can be sent out in provincial region i at time t;
Figure BDA0001752587660000085
the maximum power can be received by province i at the time t;
Figure BDA0001752587660000086
the channel power transmission capacity for transmitting power from province i to province j at time t;
Figure BDA0001752587660000087
and transmitting power for the channel receiving power from the j province in the i province at the time t.
4) Gradually increasing the transmission capacity of the discontinuous surfaces of each provincial region, repeatedly solving the multi-provincial region coordination optimization model in the step 3), and calculating the multi-provincial region power grid coordination operation mode under different transmission capacity constraints of each provincial region, thereby determining the transmission capacity requirement of the tie line of each provincial region.
The principle of the invention is as follows: the multi-provincial joint operation production simulation problem is decomposed into two sub-problems of independent operation of each provincial and coordinated operation of the multi-provincial. In the sub-problem of independent operation, the power exchange curve with the external power grid and the positive and negative regulation capacity of each province under the independent operation mode of each province are solved; in the sub-problem of the coordinated operation, a multi-provincial coordinated operation mode which aims at minimum power exchange of each provincial region is obtained through quadratic programming, and the constraint of the transmission capacity of the inter-provincial connecting line, the constraint of the positive and negative regulation capacities provided by each provincial region and the like are considered. The model not only ensures the operation independence of each province, but also realizes the mutual economy of each province, and avoids the problems of overlarge power exchange of the connecting lines between the provinces, uneven starting scale and the like. The solving method is greatly simplified, the physical meaning is clear, and the operation is simple. The method can be used for carrying out multi-provincial power grid coordinated operation production simulation which is suitable for a dispatching mode taking the province as an entity, and is suitable for dispatching mode arrangement of the power grid in China, determination of inter-provincial tie line power and the like.
The following description will be made in detail with reference to an example of coordination operation in five provinces in northwest of China. It should be emphasized that the following description is merely exemplary in nature and is not intended to limit the scope of the invention or its application.
The method comprises the following specific steps:
1) and reading information such as power supply planning, load prediction, new energy power generation, daily load characteristic curves, annual load characteristic curves and direct current power transmission curves of each province.
2) Production simulation is carried out for 8760 hours all year around in northwest provinces, and system operation indexes are calculated and shown in table 1. In the calculation example, the problem of high power abandon rate of new energy in northwest regions is solved through coordinated operation and production simulation in five provinces in northwest, and when the power of the tie line is determined, the power abandon rate in northwest regions is not more than 5% as a control target.
It can be seen that the power consumption of new energy in each provincial region is over 5 percent and can reach as high as 24.2 percent.
TABLE 1 simulation results for each province (hundred million kWh)
Item Shaanxi province Gansu (Gansu) Qinghai (Qinghai-food) Ningxia (Ningxia) Xinjiang
1. Thermal power generation capacity 2481 1442 324 2263 3434
Hour of utilization 4017 4866 4146 5304 4675
Coal consumption 7601 4395 1019 6726 10552
2. New energy generated energy 347 438 545 617 1371
Wind power generation 226 328 160 357 1001
Photovoltaic system 121 110 385 260 370
3. Electric power is abandoned to new forms of energy 23.7 140.2 47.7 69.4 168.6
Wind power generation 17.6 135 6.1 55.9 108
Photovoltaic system 6.1 5.2 41.6 13.5 60.6
4. Rate of electricity rejection 6.4％ 24.2％ 8.0％ 10.1％ 11.0％
Wind power generation 7.2％ 29.2％ 3.7％ 13.6％ 9.7％
Photovoltaic system 4.8％ 4.5％ 9.8％ 4.9％ 14.1％
3) And calculating the positive and negative adjusting capability of each province in northwest when the provinces operate independently.
And according to the independent operation production simulation result of each province, counting the starting and output conditions of the thermal power generating unit, and calculating the positive and negative regulation capacity provided under the independent operation condition of each province. As shown in tables 2 and 3.
TABLE 2 Forward Regulation ability of provinces (hundred million kWh)
Figure BDA0001752587660000091
Figure BDA0001752587660000101
TABLE 3 negative regulation of provinces (hundred million kWh)
Month of the year Shaanxi province Gansu (Gansu) Qinghai (Qinghai-food) Ningxia (Ningxia) Xinjiang
1 month 42.97 21.66 14.02 29.02 49.17
2 month 19.08 26.50 7.21 34.19 44.15
3 month 25.48 23.19 8.17 28.83 32.88
4 month 25.33 23.25 6.09 37.89 34.30
Month 5 28.11 48.19 12.48 31.18 39.51
6 month 33.27 51.12 5.27 50.10 19.00
7 month 43.18 29.44 5.77 38.61 29.19
8 month 41.64 28.21 4.82 45.41 21.42
9 month 33.18 16.69 1.49 43.80 26.74
10 month 17.80 7.26 5.07 37.03 32.87
11 month 25.11 18.79 13.15 35.84 51.19
12 month 39.81 16.34 17.93 22.79 62.92
Total up to 374.96 310.64 101.47 434.69 443.34
3) A scheme for drawing up the power transmission capability of the tie line between northwest provinces is shown in table 4.
Table 4 tie line power exchange scheme units: MW
Scheme(s) Shanxi-Gansu Qinghai-Gansu Ningxia-Gansu Xinjiang-Gansu Qinghai-Xinjiang
A 4000 4000 4000 4000 1000
B 6000 6000 6000 6000 2000
C 8000 8000 8000 8000 2000
D Is not restricted Is not restricted Is not restricted Is not restricted Is not restricted
4) And solving a coordinated operation optimization model of each province in northwest, and calculating the condition of the new energy power abandonment under the power transmission capacity of the tie line between each province as shown in tables 5-8. It can be seen that with the increase of the power transmission capacity of the power transmission section between the provincial regions, the new energy power abandoning rate in the northwest region is gradually reduced. However, as the power transmission capacity of the discontinuous surfaces of each province increases, the reduction amplitude of the power abandonment rate becomes lower and lower. And in an extreme case, the section limitation is released, and the new energy power abandonment of the northwest power grid is still about 3.91%. This shows that, with the improvement of the power transmission capacity of the transmission section, the limitation factor of the northwest power grid for absorbing new energy is limited, and the power transmission capacity of the inter-provincial tie line is transferred to the power regulation capacity of each province.
TABLE 5 scheme A coordination electric quantity comparison before and after abandon
Figure BDA0001752587660000111
TABLE 6 scheme B coordination electric quantity comparison before and after abandon
Figure BDA0001752587660000112
TABLE 7 scheme C coordination electric quantity comparison before and after abandon
Figure BDA0001752587660000113
Figure BDA0001752587660000121
TABLE 8 scheme D coordination electric quantity comparison before and after abandon
Figure BDA0001752587660000122
5) According to the analysis result, the constraint that the power abandonment rate of new energy in the northwest region is not more than 5 percent is adopted, and the scheme B for the power transmission capacity of the interconnection line between the grids of the five provinces in the northwest region is more suitable, namely the power transmission capacity of the power transmission section of Gansu-Shanxi, Gansu-Qinghai, Gansu-Xinjiang and Gansu-Ningxia is considered according to 600 ten thousand watts, and the power transmission capacity of the section of Qinghai-Xinjiang is considered according to 200 ten thousand watts.
The foregoing is a more detailed description of the invention and it is not intended that the invention be limited to the specific embodiments described herein, but that various modifications, alterations, substitutions and equivalents will be apparent to those skilled in the art without departing from the spirit of the invention, and are intended to be within the scope of the invention as defined by the appended claims.

Claims (4)

1. A multi-provincial power grid coordinated operation production simulation method is characterized by comprising the following steps:
1) carrying out production simulation for 8760 hours all year round under the condition that each province operates independently to obtain a power exchange curve between each province and an external power grid;
2) calculating positive and negative adjusting capacities which can be provided for other provinces by each province under the condition that the starting mode of the thermal power generating unit is unchanged according to the independent operation production simulation calculation result of each province;
3) solving a coordination operation mode of each province by adopting a quadratic programming mathematical model under the condition of meeting the constraint of the transmission capacity of the section of each province according to the power exchange requirement and the positive and negative regulation capacity of each province under the condition of independent operation of each province;
4) gradually increasing the power transmission capacity of each provincial section discontinuity, repeatedly solving the multi-provincial coordination optimization model in the step 3), and calculating the multi-provincial power grid coordination operation mode under different power transmission capacity constraints among the provincial sections;
in step 2), the steps of calculating the positive and negative adjusting capacity under the condition that each province independently operates are as follows:
① recording the power exchange requirement curve at any time i in a certain province as
Figure FDA0002406618400000011
Wherein
Figure FDA0002406618400000012
Indicating that power needs to be delivered;
Figure FDA0002406618400000013
indicating a need for incoming power;
② calculate the positive and negative turndown capability of a certain province at any time i:
Figure FDA0002406618400000014
Figure FDA0002406618400000015
in the formula: u. ofijThe power-on state of the power supply j at the time i is 0/1 variable, 0 represents power-off, and 1 represents power-on; gijThe output of the power supply j at the moment i;
Figure FDA0002406618400000016
is the upper limit of the output of power j;
Figure FDA0002406618400000017
is the lower limit of the output of power j;
③ calculates the available positive and negative regulation capacity in a certain provincial scheduling period T:
Figure FDA0002406618400000018
in step 3), secondary planning is adopted to coordinate the operation of each province, and the objective function is as follows:
Figure FDA0002406618400000021
in the formula: a isitThe power required to be sent out or received in at the moment t of the province i; n is the number of provinces; t is a scheduling period; the meaning of the objective function is to minimize the shortage of electric power in each province, minimize the power abandon or the insufficient electric power of new energy, and ensure the minimum power exchange requirement among each province;
for any time t the constraint is:
Figure FDA0002406618400000022
Figure FDA0002406618400000023
Figure FDA0002406618400000024
Figure FDA0002406618400000025
Figure FDA0002406618400000026
in the formula:
Figure FDA0002406618400000027
is the exchange power of the provincial junctor in the initial state; o isijtPower sent from province i to province j at time t; i isijtIs at t timeThe power received from the province j in the province i is carved;
Figure FDA0002406618400000028
the maximum power can be sent out in provincial region i at time t;
Figure FDA0002406618400000029
the maximum power can be received by province i at the time t;
Figure FDA00024066184000000210
the channel power transmission capacity for transmitting power from province i to province j at time t;
Figure FDA00024066184000000211
and transmitting power for the channel receiving power from the j province in the i province at the time t.
2. The multi-provincial power grid coordinated operation production simulation method according to claim 1, wherein the production simulation operation modes in the step 1) include power supply planning, load prediction, new energy power generation, a daily load characteristic curve, an annual load characteristic curve and a direct current power transmission curve.
3. The method for simulating coordinated operation production of a multi-provincial power grid according to claim 1, wherein in the step 1), when each province operates independently, a mixed integer linear optimization model is adopted to obtain the simulation result of each province containing a plurality of types of power supplies with the lowest comprehensive cost as an objective function, namely:
Figure FDA0002406618400000031
in the formula: citThe method comprises the steps of obtaining a power generation cost function of a thermal power generating unit i in a time period t; pi,tThe active power output of the thermal power generating unit i in the time period t is obtained; qit,upAnd Qit,offStarting and stopping expenses of the thermal power generating unit i in a time period t are respectively set; u shapeitAnd Ui,t-1Respectively for the operation of the thermal power generating unit i in time periods t and t-1A line state; lambda [ alpha ]1、λ2、λ3、λ4Respectively comprising wind abandoning, light abandoning, water abandoning and penalty factors for efficiency reduction caused by peak regulation operation of the photo-thermal unit; lambda [ alpha ]5Punishment for load loss; lambda [ alpha ]6Punishment for lost reserve; wbtThe output of the wind farm b in the time period t;
Figure FDA0002406618400000032
the predicted output force of the wind farm b in the time period t is obtained; sbtThe output of the photovoltaic power station b in the time period t;
Figure FDA0002406618400000033
the predicted output of the photovoltaic power station b in the time period t is obtained; eitThe method comprises the following steps of (1) discarding water of a hydroelectric generating set at a time period i t; lb,tAnd hb,tRespectively the load loss amount and the standby loss amount of the node b at the time t; hitThe efficiency of the photothermal unit i in the time period t is improved; mit,upAnd Mit,offThe starting cost and the stopping cost of the photothermal unit i in the time period t are respectively;
Figure FDA0002406618400000034
the operation states of the photo-thermal unit i at the time t and the time t-1 are respectively;
Figure FDA0002406618400000035
active power output of the photo-thermal unit i in a time period t; g is the set of all thermal power generating units; m is the set of all hydroelectric generating sets; n is the set of all photo-thermal units; t is the set of all periods.
4. The method for simulating coordinated operation production of a multi-provincial power grid according to claim 1, wherein in the step 4), the transmission capacity requirement of the tie line between each provincial region is determined by gradually increasing the transmission capacity of the discontinuous surfaces of each provincial region and repeatedly performing multi-provincial coordinated optimization calculation.
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