CN110516982B - Method for calculating multi-energy complementary capability index of inter-provincial power grid - Google Patents

Method for calculating multi-energy complementary capability index of inter-provincial power grid Download PDF

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CN110516982B
CN110516982B CN201910894946.XA CN201910894946A CN110516982B CN 110516982 B CN110516982 B CN 110516982B CN 201910894946 A CN201910894946 A CN 201910894946A CN 110516982 B CN110516982 B CN 110516982B
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傅旭
张祥成
范丽霞
李富春
田旭
孙沛
马雪
李丁
王昭
杨攀峰
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Northwest Electric Power Design Institute of China Power Engineering Consulting Group
Economic and Technological Research Institute of State Grid Qianghai Electric Power Co Ltd
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Economic and Technological Research Institute of State Grid Qianghai Electric Power Co Ltd
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Abstract

The invention provides a method for calculating a multi-energy complementary capacity index of an inter-provincial power grid, which comprises the following steps of: 1) calculating the annual operation mode under the condition that each province independently operates, and determining the starting mode of each province; 2) calculating natural complementarity between provinces according to power exchange requirements under the condition that each province independently operates and produces; 3) under the condition that the starting mode of each province is not changed, determining the positive and negative adjusting capacity of each province; 4) and calculating the power-on complementary capacity of each province on the basis of the power-on complementary capacity of each province. The three indexes give out the inter-provincial complementary ability from different levels, not only ensures the operation independence of each province, but also realizes the mutual economy of each province, and greatly simplifies the solving method, and has definite physical significance and simple operation.

Description

Method for calculating multi-energy complementary capability index of inter-provincial power grid
Technical Field
The invention relates to the field of planning and operation scheduling of electric power systems, in particular to a method for calculating a multi-energy complementary capacity index of an inter-provincial power grid.
Background
Under the condition of large-scale grid connection of new energy power generation such as wind power and photovoltaic, complementary operation of a multi-provincial power grid is a research hotspot. Theoretically, multiple provinces can be combined into one province for unified optimization solution by coordinated operation of a multi-province power grid, but the following problems exist: (1) the method does not conform to the power grid dispatching operation mode taking provinces as entities in China; (2) the combination of multiple provinces into one province optimized operation may cause uneven starting of the thermal power of each province, namely, the starting of the thermal power of a certain province is too much, and the starting of the thermal power of other provinces is too little; (3) the imbalance in the boot-up mode causes excessive power exchange in the tie-lines. With the large-scale grid connection of new energy power generation, a complex system containing various types of power supplies such as hydropower, thermal power, wind power, photovoltaic power, photo-thermal power and the like is formed in the northwest region. Under the condition of large-scale grid-connected operation of new energy power generation, how to coordinate and complement a multi-provincial power grid is realized, and the method is suitable for a 'provincial-entity' scheduling mode and has important significance on development of new energy power generation and scheduling operation of the power grid.
Disclosure of Invention
In order to solve the coordination and complementation among multi-provincial power grids, the invention provides a method for calculating the multi-energy complementation capability index of the inter-provincial power grids. The method is suitable for a scheduling mode taking provinces as entities, and not only ensures independence of each province, but also ensures mutual economy of electric power of each province. The solving method is greatly simplified, the physical meaning is clear, and the operation is simple.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for calculating a multi-energy complementary capability index of an inter-provincial power grid comprises the following steps:
1) calculating the output and start-stop states of each power supply of 8760h all the year round under the condition of independent operation of each province;
2) and calculating the natural complementary capacity of the inter-provincial power exchange requirement curve according to the power exchange requirement under the condition that each province independently operates and produces. The natural complementary ability means that under the condition that each province operates independently, if a province A has power abandon and a province Q has insufficient power, the province A and the province Q have complementarity in a certain time period, and because the province A and the province Q have power exchange requirements under the condition that the provinces A and the provinces Q operate independently, the complementary ability between the provinces A and the province Q is the natural complementary ability;
3) and calculating the startup complementary capability of each province. The startup complementary capability refers to positive and negative regulation capability under the condition that the startup mode of each province is determined, namely, the complementary capability of each province is provided after the output of the running adjustable power supply is increased or reduced on the basis of natural complementation of each province;
4) And calculating the power-on complementary capability of each province. The method for increasing the complementary capability of the starting machine is characterized in that on the basis of the complementary capability of the starting machine, the thermal power starting scale which can be increased in each province is judged month by month on the premise of meeting the maintenance constraint of a unit, and then the starting mode is adjusted to increase the complementary capability of each province.
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 a plurality of types of power supplies with the lowest comprehensive cost as an objective function, that is:
Figure GDA0003594553420000021
in the formula: citThe method comprises the steps of obtaining a power generation cost function of a thermal power generating unit i in a t period; pi,tThe active power output of the thermal power generating unit i in the t time period is obtained; qit,upAnd Qit,offStarting and stopping costs of the thermal power generating unit i in the time period t are respectively; u shapeitAnd Ui,t-1The operating states of the thermal power generating unit i in the time periods 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 power plant b in the time period t;
Figure GDA0003594553420000022
the predicted output of the wind power plant b in the time period t is obtained; sptThe output of the photovoltaic power station p is obtained at the time t;
Figure GDA0003594553420000038
the predicted output of the photovoltaic power station p in the time period t; e htWater is abandoned for the hydroelectric generating set h in a time period t; lz,tAnd hz,tRespectively the load loss amount and the standby loss amount of the node z in the time period t; hvtThe efficiency of the photothermal unit v in the t period is shown; mvt,upAnd Mvt,offThe starting cost and the stopping cost of the photothermal unit v in the t period are respectively;
Figure GDA0003594553420000031
the operation states of the photo-thermal unit v at t and t-1 time periods are respectively;
Figure GDA0003594553420000032
active power output of the photo-thermal unit v in a t period; g is the set of all thermal power generating units; m is the set of all hydroelectric generating sets; d is the set of all photo-thermal units; t is the set of all time periods; b is a set of all wind power and photovoltaic access nodes; and K is the set of all load nodes.
As a further improvement of the invention, the mixed integer linear optimization model takes into account the following constraints:
firstly, system balance constraint;
secondly, power station/unit operation constraint;
constraints of the photo-thermal power station;
fourthly, restraining the power of the interzone junctor.
As a further improvement of the invention, the natural complementarity refers to the complementarity of a power exchange requirement curve obtained under the condition that each province independently operates, and the power exchange requirement refers to the electricity abandonment or the insufficient power of new energy resources of two provinces.
As a further improvement of the invention, in the step 2), the calculation of the natural complementary ability between the two provinces comprises the following steps:
Under the independent operation condition of the province A and the province Q, the power exchange requirements in the period t are respectively as follows:
Figure GDA0003594553420000033
in the formula:
Figure GDA0003594553420000034
indicating that the electric power needs to be sent out in the time period A;
Figure GDA0003594553420000035
indicating that the province needs to be powered in the t period A;
Figure GDA0003594553420000036
indicating that the Q province needs to send out power in the t period;
Figure GDA0003594553420000037
representing that the Q province is required to receive the electric power in the t period;
because arbitrary t period can not both lack the electricity and abandon the electricity, consequently have the above equation to satisfy:
Figure GDA0003594553420000041
if the power exchange requirements of the A province and the Q province exist in a certain time period t, the following relation exists:
IAt×IQt＜0 (4)
the power exchange requirements of the provinces A and Q have complementarity, that is, the province A needs to send out power and the province Q needs to be electrified in the period t, or the province A needs to be electrified and the province Q needs to send out power in the period t;
when the above formula is satisfied, the power exchange that can be completed in the t period, the a and Q provinces is:
ZRt＝min{|IAt|,|IQt|} (5)
in the formula, the symbol | represents an absolute value;
then, in the time period T, the mutual power E of the A province and the Q province can be accomplished by natural complementation1Comprises the following steps:
Figure GDA0003594553420000042
as a further improvement of the present invention, in step 3), the steps of calculating the startup complementary capability index of each province are as follows:
calculating the adjustable output of the adjustable power supply of the province A in any time period:
Figure GDA0003594553420000043
in the formula:
Figure GDA0003594553420000044
the forward adjustable output of the power supply can be adjusted for the time period of A and t,
Figure GDA0003594553420000045
Figure GDA0003594553420000046
the negative adjustable output of the power supply can be adjusted in the time period of A and t,
Figure GDA0003594553420000047
utjThe starting state of the power supply j can be adjusted in a period t, wherein the starting state is 0/1 variable, 0 represents the shutdown, and 1 represents the starting; g is a radical of formulatjThe output of the power supply j can be adjusted for the time period t;
Figure GDA0003594553420000048
the upper limit of the output of the adjustable power supply j;
Figure GDA0003594553420000049
the lower limit of the output of the adjustable power supply j; and N is an adjustable power supply set of the province A.
Similarly, the adjustable output of the Q-province adjustable power supply in any t period can be calculated:
Figure GDA0003594553420000051
in the formula:
Figure GDA0003594553420000052
the forward adjustable output of the power supply can be adjusted for the Q-time t-time saving period,
Figure GDA0003594553420000053
Figure GDA0003594553420000054
the negative adjustable output of the power supply can be adjusted in the time period of Q and t,
Figure GDA0003594553420000055
utrthe starting state of the power supply r can be adjusted in a period t, the variable is 0/1, 0 represents the shutdown, and 1 represents the startup; gtrThe output of the power supply r can be adjusted for a period t;
Figure GDA0003594553420000056
the upper limit of the output of the adjustable power supply r;
Figure GDA0003594553420000057
the lower limit of the output of the adjustable power supply r; y is Q province adjustable power set.
Calculating the power supplement capability in the time periods of the province A and the province Q:
Figure GDA0003594553420000058
in the formula: xAtThe electric power supplement capability in the period of time t for the province A; xQtA power supplement capability for a period of Q province t;
and thirdly, determining the complementary electric quantity actually completed by the provinces A and Q according to the time-by-time complementary capacity and the direction of the provinces A and Q:
ZDt＝min{|IAt|,|IQt|，|XAt|,|XQt|} (10)
in time period T, the mutual-aid electric quantity E which can be completed by the A province and the Q province2Comprises the following steps:
Figure GDA0003594553420000059
as a further improvement of the present invention, in step 4), the complementary capability index of each provincial startup adding machine is calculated as follows:
The method includes the following steps that firstly, the maximum starting of provinces A all the year is counted, and the starting capacity which can be increased by thermal power in each month A is calculated:
Figure GDA00035945534200000510
in the above formula kyFor the startup capacity of month y, province A, kmaxThe starting capacity of the maximum starting month in 12 months all the year around for province A; m isyThe capacity of the power plant not started in the y month of province A;
secondly, judging whether the Q-province has the month with insufficient power, if so, increasing the capacity d of the A-province fire generator set in the month y with insufficient power of the Q-provincey，y＝1,2,…12；
Thirdly, calculating whether the overhaul space J after the A power-saving and starting-up meets the requirements:
Figure GDA0003594553420000061
generally requiring the thermal power overhaul area J to be more than 1.5, and returning to the step if the overhaul area J is not satisfiedStep two, revise the capacity d of increasing the unit in the y month of province A againy；
Fourthly, counting the scale of the increased-startup thermal power generating unit in each month of the province A, and calculating the complementary capacity of the province A in any time period t after the increased startup:
Figure GDA0003594553420000062
in the formula:
Figure GDA0003594553420000063
increasing the maximum output of the set for the time period of the province A and t;
Figure GDA0003594553420000064
increasing the minimum output of the set for the time period of the province A and t;
determining the complementary ability of A province to Q province according to the time-by-time complementary ability and direction of A province and Q province.
Compared with the prior art, the invention has the beneficial effects that:
the invention divides the problem of the complementary capability of the provincial power grid into three levels of natural complementation, startup-start complementation and startup-increase complementation. The natural complementary ability means that under the condition that A province and Q province operate independently, if electricity is abandoned in A province in a certain period of time and electricity is insufficient in Q province, the A province and the Q province in the period of time have complementarity, because of the power exchange requirement under the condition that the A province and the Q province operate independently, the complementary ability of the two provinces is determined only according to the power supply structure of the two provinces, and the complementarity between the two provinces is called natural complementarity. The startup complementary function means the complementary ability of the A province and the Q province after increasing or decreasing the output of the adjustable power supply which is running in the A province and the Q province on the basis of natural complementary function. The method for increasing the complementary capability of the starting machine is characterized in that on the basis of the complementary capability of the starting machine, the thermal power starting scales increased by the province A and the province Q are judged month by month on the premise of meeting the maintenance constraint of the unit, and then the complementary capability of the province A and the province Q is increased by adjusting the starting mode. The three indexes give out the complementation capacity among the provinces from different levels, thereby not only ensuring the operation independence of each province, but also realizing the mutual economy among the provinces, greatly simplifying the solving method, having clear physical meaning and simple operation. When the provincial interval complementary capacity is calculated, the method is suitable for a dispatching mode taking provinces as entities, and not only can the independence of the provinces be guaranteed, but also the mutual economy of the provinces is guaranteed. The solving method is greatly simplified, the physical meaning is clear, and the operation is simple. By adopting the method, inter-provincial complementary operation suitable for the dispatching mode in China can be carried out.
Drawings
FIG. 1 is a computational flow diagram of the present invention;
FIG. 2 is a diagram of long-term electricity purchasing quantity monthly;
FIG. 3 Green sea Power grid short term electricity demand period distribution (hundred million kWh);
FIG. 4 natural complementarity of the Xinjiang-Qinghai system;
FIG. 5 shows the fixed turn-on complementation rate for Xinjiang and Qinghai month by month;
FIG. 6 shows the increase of the complementation rate of the Xinjiang-Qinghai machine by month.
Detailed Description
As shown in fig. 1, the inter-provincial power grid complementary capability index and the calculation thereof of the invention include the following steps:
1) and calculating the 8760-hour running mode in the whole year under the condition that each province runs independently, and determining the starting mode of each province.
In the step 1), 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 GDA0003594553420000071
in the formula: citThe method comprises the steps of obtaining a power generation cost function of a thermal power generating unit i in a t period; pi,tThe active power output of the thermal power generating unit i in the t time period is obtained; qit,upAnd Qit,offStarting and stopping costs of the thermal power generating unit i in a time period t are respectively consumed; u shapeitAnd Ui,t-1The operating states of the thermal power generating unit i in the time periods t and t-1 are respectively set; lambda [ alpha ]1、λ2、λ3、λ4Respectively abandoning wind, light and water and causing effects due to peak regulation operation of a photo-thermal unitA penalty factor for rate reduction; lambda [ alpha ]5Punishment for losing load; lambda [ alpha ]6Punishment for lost reserve; wbtThe output of the wind power plant b in the time period t;
Figure GDA0003594553420000081
Predicted output of the wind power plant b in a time period t; s. theptThe output of the photovoltaic power station p is in a time period t;
Figure GDA0003594553420000082
the predicted output of the photovoltaic power station p in the t time period is obtained; ehtWater is discarded for the hydroelectric generating set h in the time period t; lz,tAnd hz,tRespectively the load loss amount and the standby loss amount of the node z in the time period t; hvtThe efficiency of the photothermal unit v in the t period is shown; mvt,upAnd Mvt,offThe starting cost and the stopping cost of the photothermal unit v in the t period are respectively;
Figure GDA0003594553420000083
the running states of the photothermal unit v at t and t-1 time periods are respectively;
Figure GDA0003594553420000084
active power output of the photo-thermal unit v in a t period; g is the set of all thermal power generating units; m is the set of all hydroelectric generating sets; d is the set of all photo-thermal units; t is the set of all time periods; b is a set of all wind power and photovoltaic access nodes; and K is the set of all load nodes.
The constraints considered are:
balancing constraint of the system: power balance constraints, load backup constraints, peak shaving balance constraints, security boot constraints, and the like.
Power station/unit operation constraint: the method comprises the following steps of restraining the upper limit and the lower limit of the generated power of each power station/unit, restraining the upper limit and the lower limit of the spare capacity of a system, restraining the electric quantity balance of a hydropower station, restraining the daily and weekly electric quantity balance of a pumped storage power station, restraining the shortest startup and shutdown time when the power station is started, stopped and peak-shifted.
Constraints of the photo-thermal power station: the system comprises a unit heat balance constraint, a heat storage tank storage/heat release maximum and minimum power constraint, a turbine maximum air inlet constraint, a unit starting thermal power constraint, a heat storage period regulation constraint and the like.
Fourthly, power constraint of the interzone junctor: transient stability limit constraints, thermal stability limit constraints, and the like.
2) And calculating the natural complementarity between provincial regions according to the power exchange requirements (new energy power abandonment or insufficient power) under the condition that each provincial region independently operates and produces.
In step 2), the steps of calculating the natural complementary power between the two provinces are as follows (for convenience of description, A province and Q province are taken as examples):
the natural complementarity refers to the complementarity of power exchange requirement curves obtained under the condition that each province independently operates, and the power exchange requirement is actually the electricity abandonment or the insufficient power of new energy sources of province A and province Q.
Under the independent operation condition of the province A and the province Q, the power exchange requirements in the period t are respectively as follows:
Figure GDA0003594553420000091
in the formula:
Figure GDA0003594553420000092
indicating that the electric power needs to be sent out in the t period A;
Figure GDA0003594553420000093
indicating that the province needs to be powered in the t period A;
Figure GDA0003594553420000094
indicating that the Q province needs to send out power in the t period;
Figure GDA0003594553420000095
representing that the Q province is required to receive the electric power in the t period;
because the electricity can not both be short of to the electricity nor abandon the electricity in arbitrary t period, consequently the above equation satisfies:
Figure GDA0003594553420000096
if the power exchange requirements of the A province and the Q province exist in the time period t, the following relation exists:
IAt×IQt＜0 (4)
The power exchange requirements of the provinces A and Q have complementarity, that is, in the period t, the province A needs to send out electric power and the province Q needs to be electrified, or in the period t, the province A needs to be electrified and the province Q needs to send out electric power;
when the above formula is satisfied, the power exchange that can be completed by the A-and Q-provinces in the t-period
ZRt＝min{|IAt|,|IQt|} (5)
In the formula, the symbol | represents an absolute value;
then, in the time period T, the mutual power E of the A province and the Q province can be accomplished by natural complementation1Comprises the following steps:
Figure GDA0003594553420000097
3) and under the condition that the starting mode of each province is not changed, determining the positive and negative adjusting capacity of each province.
In step 3), the step of calculating the startup setting complementary capability index of each province is as follows:
calculating the adjustable output of the adjustable power supply of the province A in any time period:
Figure GDA0003594553420000101
in the formula:
Figure GDA0003594553420000102
the forward adjustable output of the power supply can be adjusted for the time period of A and t,
Figure GDA0003594553420000103
Figure GDA0003594553420000104
saving time for AThe segment can adjust the negative adjustable output of the power supply,
Figure GDA0003594553420000105
utjthe starting state of the power supply j can be adjusted in the period of t, the variable is 0/1, 0 represents shutdown, and 1 represents startup; gtjThe output of the power supply j can be adjusted for the time period t;
Figure GDA0003594553420000106
the upper limit of the output of the adjustable power supply j;
Figure GDA0003594553420000107
the lower limit of the output of the adjustable power supply j; and N is an adjustable power supply set of the province A.
Similarly, the adjustable output of the Q-province adjustable power supply in any t period can be calculated:
Figure GDA0003594553420000108
In the formula:
Figure GDA0003594553420000109
the forward adjustable output of the power supply can be adjusted for the Q-time t-time saving period,
Figure GDA00035945534200001010
Figure GDA00035945534200001011
the negative adjustable output of the power supply can be adjusted in the time period of Q and t,
Figure GDA00035945534200001012
utrthe starting state of the power supply r can be adjusted in a period t, the variable is 0/1, 0 represents the shutdown, and 1 represents the startup; gtrThe output of the power supply r can be adjusted for a period t;
Figure GDA00035945534200001013
the upper limit of the output of the adjustable power supply r;
Figure GDA00035945534200001014
the lower limit of the output of the adjustable power supply r; and Y is a Q-province adjustable power supply set.
Calculating the power supplement capability in the time periods of the province A and the province Q:
Figure GDA00035945534200001015
in the formula: xAtThe electric power supplement capability in the period of time t for the province A; xQtA power supplement capability for a period of Q province t;
and thirdly, determining the complementary electric quantity actually completed by the provinces A and Q according to the time-by-time complementary capacity and the direction of the provinces A and Q:
ZDt＝min{|IAt|,|IQt|} (10)
in time period T, the mutual-aid electric quantity E which can be completed by the A province and the Q province2Comprises the following steps:
Figure GDA0003594553420000111
in step 4), the power-on complementary capability index of each province is calculated as follows:
the method includes the following steps that firstly, the maximum starting of provinces A all the year is counted, and the starting capacity which can be increased by thermal power in each month A is calculated:
Figure GDA0003594553420000112
in the above formula kyFor the startup capacity of month y, province A, kmaxThe starting capacity of the maximum starting month in 12 months all the year around for province A; m isyThe capacity of the power plant not started in the y month of province A;
secondly, judging whether the Q-province has the month with insufficient power, if so, increasing the capacity d of the A-province fire generator set in the month y with insufficient power of the Q-province y，y＝1,2,…12；
And thirdly, calculating whether the overhaul space J after the A power-saving starting up meets the requirements:
Figure GDA0003594553420000113
generally requiring the thermal power overhaul area J to be more than 1.5, if the overhaul area J does not meet the requirement, returning to the step II, revising the capacity d of the increased unit in the y month of the province Ay；
Fourthly, counting the scale of the increased-startup thermal power generating unit in each month of the province A, and calculating the complementary capacity of the province A in any time period t after the increased startup:
Figure GDA0003594553420000114
in the formula:
Figure GDA0003594553420000115
increasing the maximum output of the set for the time period of the province A and t;
Figure GDA0003594553420000116
increasing the minimum output of the set for the time period of the province A and t;
determining the complementary ability of the province A to the province Q according to the time-by-time complementary ability and the direction of the provinces A and the province Q.
The following is a detailed description of the complementary operation in Qinghai, Xinjiang and Shaanxi provinces in 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 Qinghai is an electricity shortage province, and needs to solve the problem of insufficient electric quantity with other power grids in the northwest through long-term electricity purchasing and short-term temporary electricity purchasing.
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 curve, annual load characteristic curve, direct current power transmission curve and the like of Xinjiang, Qinghai and Shaanxi.
2) And performing production simulation on Qinghai within 8760 hours all year round, and determining long-term electricity purchasing demand, short-term electricity purchasing demand and new energy electricity abandonment.
The results of the simulation calculation of the independent operation production of the Qinghai power grid are shown in table 1, the long-term electricity purchasing requirement of the Qinghai on a monthly basis is shown in fig. 2, and the electricity purchasing requirement of the Qinghai on the whole year is 40.2 hundred million kWh. Deducting the long-term electricity purchase, the short-term electricity shortage probability of Qinghai is 0.674%, the short-term (temporary) electricity purchase demand is 0.2 hundred million kWh, and the distribution of the short-term electricity purchase period of Qinghai is shown in FIG. 3. The annual electric quantity of the new energy is 79.2 hundred million kWh, and the utilization hour of the thermal power is 6081 hours.
TABLE 1 Qinghai production simulation result index comparison
Figure GDA0003594553420000121
3) The production simulation of Xinjiang for 8760 hours is carried out, and the natural complementation rate of Xinjiang and Qinghai provinces is calculated
The monthly natural complementation rate of Xinjiang and Qinghai is shown in FIG. 4. It can be seen that the Qinghai can obtain the electricity supplement of about 13 hundred million kWh from Xinjiang, and the complementation rate of the long-term electricity purchase requirement of the Qinghai is 27.5%. It should be noted that, in the above complementary rate calculation, the complementary rate of each month is 0, such as 6 months and 9 months, which does not mean that the power supply capacity of the qinghai is not supplemented by the Xinjiang power grid of 6 months and 9 months, but the qinghai of 2 months does not have the long-term power purchase demand, and in the following startup complementary capacity and startup complementary capacity calculation, the reason why the complementary rate of the qinghai of 6 months and 9 months and the Xinjiang power grid is 0 is the same.
4) Calculating the starting-up complementation rate of Xinjiang and Qinghai provinces
As described above, the long-term electricity purchasing requirement of the Qinghai cannot be met by means of natural complementation of two provinces, so that the electricity supplement to the Qinghai is increased by adjusting the output of the Sinkiang on the operation-adjustable power supply (thermal power in the example) on the basis of natural complementation of the Qinghai, the active startup complementary electricity obtained by the Qinghai from the Xinjiang is about 36 hundred million kWh, and the total income complementation rate of the electricity shortage of the Qinghai is 89.5%, as shown in fig. 5.
5) Calculating the complementary rate of the startup increasing machine in Xinjiang province and Qinghai province
The method is characterized in that Sinkiang fossil power overhaul is not influenced as a constraint, part of idle fossil power units are added in seasonal power shortage months in Qinghai in Sinkiang, the Sinkiang fossil power overhaul area is shown in a table 2, and the monthly power supply complementation rate in Qinghai is shown in a figure 6. Namely, through active startup increasing complementation in Xinjiang, the long-term electricity purchasing requirement of Qinghai can be met, and the complementation rate of the electricity shortage of Qinghai is 100%.
TABLE 2 complementation Capacity and Overhaul area after Xinjiang new start-up
Figure GDA0003594553420000131
Figure GDA0003594553420000141
6) The Shaanxi power grid 8760h production simulation is used for calculating the complementary rate of Shaanxi to the short-term electricity purchasing demand and new energy electricity abandonment of Qinghai
The complementary operation results of the Qinghai and Shaanxi power grids are shown in Table 3, the complementary rate of short-term power shortage of Qinghai is 100%, and the complementary rate of new energy power abandonment of Qinghai is 44%. That is to say, Shaanxi has fully satisfied the short-term electricity purchasing demand of Qinghai, and the Qinghai new energy abandoned electricity has also been accepted by Shaanxi by 44%.
TABLE 3 complementary rate of Shanxi-Qinghai month by month
Figure GDA0003594553420000142
The invention divides the problem of the complementary capability of the provincial power grid into three levels of natural complementation, startup-start complementation and startup-increase complementation. The natural complementary ability means that under the condition that A province and Q province operate independently, if electricity is abandoned in A province in a certain period of time and electricity is insufficient in Q province, the A province and the Q province in the period of time have complementarity, because of the power exchange requirement under the condition that the A province and the Q province operate independently, the complementary ability of the two provinces is determined only according to the power supply structure of the two provinces, and the complementarity between the two provinces is called natural complementarity. The startup complementary function means the complementary ability of the A province and the Q province after increasing or decreasing the output of the adjustable power supply which is running in the A province and the Q province on the basis of natural complementary function. The starting-up increasing complementary capability is that on the basis of the starting-up setting complementary capability, the thermal power starting scale increased by the A province and the Q province is judged month by month on the premise of meeting the maintenance constraint of the unit, and then the starting-up mode is adjusted to increase the complementary capability of the A province and the Q province. The three indexes give out the complementation capacity among the provinces from different levels, thereby not only ensuring the operation independence of each province, but also realizing the mutual economy among the provinces, greatly simplifying the solving method, having clear physical meaning and simple operation.
When the method is used for calculating the provincial complementary capacity, the method is suitable for a dispatching mode taking provinces as entities, and not only can the independence of each province be guaranteed, but also the power economy of each province can be guaranteed. The solving method is greatly simplified, the physical significance is clear, and the operation is simple. By adopting the method, inter-provincial complementary operation suitable for the dispatching mode in China can be carried out.
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 (2)

1. A method for calculating a multi-energy complementary capability index of an inter-provincial power grid is characterized by comprising the following steps:
1) calculating the annual power grid operation mode under the condition that each province independently operates, and determining the startup mode of each province;
2) calculating natural complementary capacity of provincial regions according to power exchange requirements under the condition that each provincial region independently operates and produces;
3) under the condition that the starting mode of each province is not changed, determining positive and negative regulation capacities and complementary electric quantity under the condition that the starting mode of each province is not changed;
4) Calculating the power-on increasing and complementing capacity of each province on the basis of the power-on deciding and complementing capacity of each province;
when each province operates independently in the step 1), adopting a mixed integer linear optimization model to obtain the production simulation result of each province which takes the lowest comprehensive cost as a target function and contains a plurality of types of power supplies, namely:
Figure FDA0003594553410000011
in the formula: citThe method comprises the steps of obtaining a power generation cost function of a thermal power generating unit i in a t period; pi,tThe active power output of the thermal power generating unit i in the t time period is obtained; qit,upAnd Qit,offStarting and stopping costs of the thermal power generating unit i in the time period t are respectively; u shapeitAnd Ui,t-1The operating states of the thermal power generating unit i in the time periods t and t-1 are respectively set; lambda [ alpha ]1、λ2、λ3、λ4Respectively comprising wind abandoning, light abandoning, water abandoning and punishment factors of efficiency reduction caused by peak load regulation operation of the photo-thermal unit; lambda [ alpha ]5Punishment for losing load; lambda [ alpha ]6Punishment for lost reserve; wbtThe output of the wind power plant b in the time period t;
Figure FDA0003594553410000012
the predicted output of the wind power plant b in the time period t is obtained; sptThe output of the photovoltaic power station p is obtained at the time t;
Figure FDA0003594553410000013
the predicted output of the photovoltaic power station p in the time period t; ehtWater is discarded for the hydroelectric generating set h in the time period t; lz,tAnd hz,tRespectively the load loss amount and the standby loss amount of the node z in the time period t; hvtThe efficiency of the photothermal unit v in the t period is shown; mvt,upAnd Mvt,offThe starting cost and the stopping cost of the photothermal unit v in the t period are respectively consumed;
Figure FDA0003594553410000014
The running states of the photothermal unit v at t and t-1 time periods are respectively;
Figure FDA0003594553410000015
active power output of the photo-thermal unit v in a t period; g is the set of all thermal power generating units; m is the set of all hydroelectric generating sets; d is the set of all photo-thermal units; t is the set of all time periods; b is a set of all wind power and photovoltaic access nodes; k is a set of all load nodes;
the constraint conditions considered by the mixed integer linear optimization model are as follows:
firstly, system balance constraint;
secondly, power station/unit operation constraint;
the photo-thermal power station is constrained;
fourthly, restraining the power of the interzone tie line;
the natural complementarity refers to the complementarity of a power exchange demand curve obtained under the condition that each province independently operates, and the power exchange demand refers to the electricity abandonment or the insufficient electricity of new energy resources of two provinces;
in the step 2), the natural complementary ability between the two provinces is calculated as follows:
under the independent operation condition of the province A and the province Q, the power exchange requirements in the period t are respectively as follows:
Figure FDA0003594553410000021
in the formula:
Figure FDA0003594553410000022
indicating that the electric power needs to be sent out in the time period A;
Figure FDA0003594553410000023
indicating that the province needs to be powered in the t period A;
Figure FDA0003594553410000024
indicating that the Q province needs to send out power in the t period;
Figure FDA0003594553410000025
representing that the Q province is required to receive the electric power in the t period;
because arbitrary t period can not both lack the electricity and abandon the electricity, consequently have the above equation to satisfy:
Figure FDA0003594553410000026
For time t, the power exchange requirements of the A and Q provinces are related as follows:
IAt×IQt＜0 (4)
the power exchange requirements of the provinces A and Q have complementarity, that is, in the period t, the province A needs to send out electric power and the province Q needs to be electrified, or in the period t, the province A needs to be electrified and the province Q needs to send out electric power;
when the above formula is satisfied, the power exchange that can be completed in the t period, the a and Q provinces is:
ZRt＝min{|IAt|,|IQt|} (5)
in the formula, the symbol | represents an absolute value;
then, in the time period T, the mutual power E of the A province and the Q province can be accomplished by natural complementation1Comprises the following steps:
Figure FDA0003594553410000031
in step 3), the calculation of the complementary ability index under the condition of unchanged startup of each province comprises the following steps:
calculating the adjustable output of the adjustable power supply of the province A in any time period:
Figure FDA0003594553410000032
in the formula:
Figure FDA0003594553410000033
the forward adjustable output of the power supply can be adjusted for the time period of A and t,
Figure FDA0003594553410000034
Figure FDA0003594553410000035
the negative adjustable output of the power supply can be adjusted in the time period of A and t,
Figure FDA0003594553410000036
utjthe starting state of the power supply j can be adjusted in a period t, wherein the starting state is 0/1 variable, 0 represents the shutdown, and 1 represents the starting; gtjThe output of the power supply j can be adjusted for the time period t;
Figure FDA0003594553410000037
the upper limit of the output of the adjustable power supply j;
Figure FDA0003594553410000038
the lower limit of the output of the adjustable power supply j; n is an adjustable power supply set of province A;
similarly, the adjustable output of the Q-province adjustable power supply in any t period can be calculated:
Figure FDA0003594553410000039
in the formula:
Figure FDA00035945534100000310
the forward adjustable output of the power supply can be adjusted for the Q-time t-time saving period,
Figure FDA00035945534100000311
Figure FDA00035945534100000312
The negative adjustable output of the power supply can be adjusted in the time period of saving Q and t,
Figure FDA00035945534100000313
utrthe starting state of the power supply r can be adjusted in a period t, the variable is 0/1, 0 represents the shutdown, and 1 represents the startup; gtrThe output of the power supply r can be adjusted for a period t;
Figure FDA00035945534100000314
the upper limit of the output of the adjustable power supply r;
Figure FDA00035945534100000315
the lower limit of the output of the adjustable power supply r; y is a Q-province adjustable power supply set;
calculating the power supplement capability in the time periods of the province A and the province Q:
Figure FDA00035945534100000316
in the formula: xAtThe electric power supplement capability in the period of time t for the province A; xQtA power supplement capability for a period of Q province t;
and thirdly, determining the complementary electric quantity actually completed by the provinces A and Q according to the time-by-time complementary capacity and the direction of the provinces A and Q:
ZDt＝min{|XAt|,|XQt|，|IAt|,|IQt|} (10)
in time period T, the mutual-aid electric quantity E which can be completed by the A province and the Q province2Comprises the following steps:
Figure FDA0003594553410000041
in step 4), the power-on complementary capability index of each province is calculated as follows:
the method includes the following steps that firstly, the maximum starting of the province A all the year around is counted, and the starting capacity which can be still increased by thermal power of the province A in each month is calculated:
Figure FDA0003594553410000042
in the above formula, kyFor the startup capacity of month y, province A, kmaxThe starting capacity of the maximum starting month in 12 months all the year around for province A; m isyThe capacity of the fired power not started in month y of province A;
judging whether the Q-saving has a month with insufficient power, if yes, increasing the capacity d of the A-saving fire generator set in the month y with insufficient power of the Q-savingy，y＝1,2,…12；
Thirdly, calculating whether the overhaul space J after the A power-saving and starting-up meets the requirements:
Figure FDA0003594553410000043
The overhaul area J of the thermal power is generally required to be larger than 1.5, if the overhaul area J does not meet the overhaul area J, the step II is returned, and the capacity d of the additional unit in the y month of province A is revised againy；
Fourthly, counting the scale of the increased-startup thermal power generating unit in each month of the province A, and calculating the complementary capacity of the province A in any time period t after the increased startup:
Figure FDA0003594553410000044
in the formula:
Figure FDA0003594553410000051
increasing the maximum output of the set for the time period of the province A and t;
Figure FDA0003594553410000052
increasing the minimum output of the set for the time period of the province A and t;
determining the complementary ability of the province A to the province Q according to the time-by-time complementary ability and the direction of the provinces A and the province Q.
2. The method for calculating the multipotency complementation capability index of the provincial power grid according to claim 1, wherein the overhaul area refers to a ratio of the sum of the capacities of the units to be overhauled to the installed capacity after thermal power increase and startup in each month of the year.
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