CN109428343B - Optimized planning method and device for power transmission capacity of new energy base outgoing channel - Google Patents
Optimized planning method and device for power transmission capacity of new energy base outgoing channel Download PDFInfo
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Abstract
The invention provides an optimized planning method and device for the transmission capacity of a new energy base outgoing channel, which comprises the following steps: carrying out statistics on output data of the new energy base; constructing a power grid time sequence simulation model according to the new energy base output data; and carrying out optimization calculation on the capacity of the delivery channel of the new energy base according to the power grid time sequence simulation model to obtain the optimal value of the capacity of the delivery channel. The technical scheme provided by the invention considers the wind power and solar power generation output characteristics of the new energy base and the consumption capacity of the new energy receiving end power grid, and the calculation result is accurate and reliable; the quantitative relation between the transmission capacity of the new energy delivery channel and the new energy limited level is established, and the transmission capacity of the required delivery channel is selected according to actual operation requirements.
Description
Technical Field
The invention belongs to the field of power system automation, and particularly relates to an optimal planning method and device for power transmission capacity of a new energy base outgoing channel.
Background
The new energy power generation mainly focuses on large-scale centralized development, wind and light abandoning phenomena sometimes occur in large-scale new energy power generation centralized areas such as new energy bases, and the limited condition of the new energy power generation is continuously worsened along with the continuous increase of the installed capacity of the new energy. The insufficient power transmission capacity of the outgoing channel of the new energy base is an important reason for wind and light abandonment of new energy. Compared with a conventional power supply, the new energy resource has low energy density, the capacity of the delivery channel of the new energy base is planned according to the installed capacity of the new energy, the utilization rate of the delivery channel equipment is low, and the economy is poor. How to design the transmission capacity of a new energy base delivery channel and improve the utilization rate of the delivery channel as much as possible on the premise of ensuring the consumption of new energy, no effective design method exists at present.
According to statistical data of wind power output and solar power output, about 90% of new energy power output is concentrated below 40% installed capacity, and the transmission capacity of an outgoing line of a new energy base is generally planned and designed according to 60% -70% of the installed capacity of new energy in a region; and the current new energy base outgoing channel transmission capacity design usually does not consider the new energy consumption capability of the receiving end power grid, and the possibility that the outgoing channel has capacity but the receiving end consumption capability is insufficient exists.
Disclosure of Invention
Aiming at the blank and the defects of the prior art, the invention provides an optimal planning method and device for the transmission capacity of a new energy base outgoing channel.
An optimized planning method for power transmission capacity of a new energy base outgoing channel comprises the following steps:
carrying out statistics on output data of the new energy base;
constructing a power grid time sequence simulation model according to the new energy base output data;
and carrying out optimization calculation on the capacity of the delivery channel of the new energy base according to the power grid time sequence simulation model to obtain the optimal value of the capacity of the delivery channel.
Further, the statistics of the new energy base output data include:
according to the new energy base historical operating annual output data and the historical recorded wind power and solar power generation electricity limiting data, carrying out electricity limiting reduction on the new energy output data, and respectively obtaining theoretical power of wind power and solar power generation;
and dividing the theoretical power data of the wind power generation and the solar power generation by the installed capacity at the corresponding moment to respectively obtain the normalized data of the wind power generation and the solar power generation.
Further, the constructing of the power grid time sequence simulation model includes:
constructing a new energy base wind power and solar power generation output model according to the new energy base output data;
constructing a new energy power generation receiving end power grid model;
constructing an outgoing channel model;
and optimizing the power limiting condition of the new energy power generation of each time section according to the wind power and solar power generation output model of the new energy base, the new energy power generation receiving end power grid model and the outgoing channel model.
Further, the new energy base wind power and solar power generation output model comprises: wind power and solar power generation power constraints are shown as follows:
wherein, Pw,n(t) is the wind power of the new energy base n at the moment t;
the wind power theoretical power of the new energy base n at the time t is obtained; ppv,n(t) is the solar power generation power of the new energy base n at the time t;
and the theoretical power of the solar power generation of the new energy base n at the time t is obtained.
Further, the new energy power generation receiving end power grid model comprises:
and (3) power balance constraint:
Pall.n(t)+Pw,n(t)+Ppv,n(t)+Ln,m(t)＝Pl(t)
wherein, Pall.n(t) is the total of the generated output of all the conventional units at the moment tPower; l isn,m(t) is the transmission power from the new energy base n to the receiving end power grid m; pl(t) is the total power load at time t;
conventional power unit opens and stops restraint:
wherein, Xj(t) is the running state of the unit j at the moment t; y isj(t) is the starting state of the unit j at the moment t; zj(t) is the shutdown state of the unit j at the moment t;
conventional power output constraints:
Xj(t)·Pj,min≤Pj(t)≤Pj,max·Xj(t)
Pj(t+1)-Pj(t)≤ΔPj,up
Pj(t)-Pj(t+1)≤ΔPj,down
wherein, Pj,minAnd Pj,maxRespectively representing the lower output limit and the upper output limit of the unit j; delta Pj,upAnd Δ Pj,downRespectively the maximum value of the climbing rate and the maximum value of the descending rate of the unit j;
thermal power unit heat supply output restraint:
wherein, Pj,BY(t) the output of the back pressure thermal power generating unit at the moment t;
the thermoelectric coupling coefficient of the heating unit is set; hj(t) is the thermal demand at time t; pj,CQ(t) the output of the steam extraction thermal power generating unit at the moment t;
and (3) power grid rotation reserve capacity constraint:
wherein J is the total number of the running units; pPreAnd PNreRespectively for the upper and lower rotation standby of the power grid.
Further, the delivery channel model includes:
Ln,m(t)＝-Lm,n(t)
Ln,n(t)＝0
wherein the content of the first and second substances,
and
respectively is the lower limit value and the upper limit value, L, of the power transmission capacity of the outgoing channel of the new energy basen,mAnd (t) is the transmission power from the new energy base n to the receiving end power grid m.
Further, the optimizing the new energy power generation limit condition of each time section according to the new energy base ground wind power and solar power generation output model, the new energy power generation receiving end power grid model and the outgoing channel model comprises: the new energy consumption is an optimization target, which is shown as the following formula:
wherein T is the total time period of optimization; and N is the number of new energy delivery bases.
Further, the performing optimized calculation on the capacity of the delivery channel of the new energy base according to the power grid time sequence simulation model to obtain an optimal value of the capacity of the delivery channel comprises:
setting calculation parameters, wherein the calculation parameters comprise preset outgoing channel capacity and expected power limit rate;
and based on the power grid time sequence simulation model, optimizing and calculating the set parameters to obtain the optimal value of the capacity of the outgoing channel.
Further, the optimizing the set parameters to obtain the optimal value of the capacity of the outgoing channel includes:
when the consumption of the new energy is lower than the pre-deadline electric rate, reducing the preset capacity of the outgoing channel; if the new energy consumption is higher than the expected power limit rate, increasing the preset capacity of the outgoing channel;
and until the minimum value of the capacity of the outgoing channel is obtained when the acceptable new energy power limit rate is obtained, wherein the minimum value is the optimal value of the capacity of the outgoing channel.
An optimized planning device for new energy base delivery channel transmission capacity, the device comprising:
the data acquisition module is used for counting the output data of the new energy base;
the model establishing module is used for establishing a power grid time sequence simulation model according to the new energy base output data;
and the optimization module is used for carrying out optimization calculation on the capacity of the delivery channel of the new energy base according to the power grid time sequence simulation model.
Further, the data acquisition module is configured to,
according to the new energy base historical operating annual output data and the historical recorded wind power and solar power generation electricity limiting data, carrying out electricity limiting reduction on the new energy output data, and respectively obtaining theoretical power of wind power and solar power generation;
and dividing the theoretical power data of the wind power generation and the solar power generation by the installed capacity at the corresponding moment to respectively obtain the normalized data of the wind power generation and the solar power generation.
Further, the model building module comprises:
the new energy output model submodule is used for constructing a new energy base wind power and solar power generation output model according to the new energy base output data;
the receiving-end power grid model submodule is used for constructing a new energy power generation receiving-end power grid model;
the delivery channel model submodule is used for constructing a delivery channel model;
and the optimization submodule is used for optimizing the new energy power generation limit condition of each time section according to the new energy base wind power and solar power generation output model, the new energy power generation receiving end power grid model and the outgoing channel model.
Further, the optimization module comprises:
the setting submodule is used for setting calculation parameters, and the calculation parameters comprise preset capacity of an outgoing channel and expected power limit rate;
and the calculation submodule is used for carrying out optimization calculation on the set parameters based on the power grid time sequence simulation model to obtain the optimal value of the capacity of the outgoing channel.
Compared with the closest prior art, the technical scheme provided by the invention has the following beneficial effects:
1. the technical scheme provided by the invention considers the wind power and solar power generation output characteristics of the new energy base and the consumption capacity of the new energy receiving end power grid, and the calculation result is accurate and reliable.
2. According to the technical scheme provided by the invention, the quantitative relation between the transmission capacity of the new energy delivery channel and the new energy limited level is established, and the transmission capacity of the required delivery channel is selected according to the actual operation requirement.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a flow chart of an embodiment of the present invention;
FIG. 3 is a schematic diagram of a wind power output sample in an embodiment of the present invention;
FIG. 4 is a schematic diagram of a photovoltaic power generation output sample in an embodiment of the present invention;
FIG. 5 is a sample load force diagram according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a relationship between a new energy power curtailment rate and a transmission capacity of an outgoing channel in the embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings. In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention relates to an optimization method (shown in figure 1) applied to the transmission capacity of an outgoing channel of a new energy base, which comprehensively considers the comprehensive relationship among the output characteristic of new energy, the capacity of the outgoing channel and the new energy consumption capacity. The method specifically comprises the following steps:
step 1: carrying out statistics on output data of the new energy base;
step 2: constructing a power grid time sequence simulation model;
and step 3: and (4) carrying out capacity optimization calculation on the outgoing channel of the new energy base.
The following describes a specific implementation flow of the present invention with reference to a new energy base outgoing channel power transmission capacity calculation flow chart, as shown in fig. 2.
Step 1-1: and (5) carrying out historical data statistics on the new energy base. According to the historical operation annual output data of the new energy base, wind power generation output data and solar power generation output data are respectively obtained, and the time resolution is 5min or 1 h.
Step 1-2: and (4) reducing the limited power of the new energy. And carrying out power-limiting reduction on the new energy output data according to historical wind power and solar power generation power-limiting data to obtain theoretical power of new energy power generation.
Step 1-3: and (5) normalizing the new energy output data. And dividing the theoretical power data of wind power generation and solar power generation by the installed capacity at the corresponding moment to respectively obtain the normalized data of wind power generation and solar power generation. The new energy output normalization data can accurately represent the new energy output characteristics of the area.
Step 2-1: and modeling the wind power and solar power generation output of the new energy base. The method comprises wind power and solar power generation power constraints, which are shown in formulas (1) and (2). In the formula, Pw,n(t) is the wind power of the new energy base n at the moment t,
the wind power theoretical power of the new energy base n at the time t is obtained; ppv,n(t) is the solar power generation power of the new energy base n at the time t,
and the theoretical power of the solar power generation of the new energy base n at the time t is obtained.
Step 2-2: and modeling the new energy power generation receiving end power grid. The receiving-end power grid needs to comprehensively consider the constraint conditions of power balance, power output of conventional power supplies (thermal power and hydropower), starting and stopping of conventional power supply units, heat supply of thermal power units, rotating reserve capacity of the power grid and the like. The specific modeling method is as follows:
(1) electric power balance
Pall.n(t)+Pw,n(t)+Ppv,n(t)+Ln,m(t)＝Pl(t) (3)
In the formula, Pall.n(t) is the total power of the generated power of all the conventional units at the moment t, Ln,m(t) is the transmission power P from the new energy base n to the receiving end power grid ml(t) is the total power load at time t.
(2) Starting and stopping of conventional power supply unit
In the formula, Xj(t) is the running state of the unit j at the moment t, wherein '1' indicates that the unit j is in the running state, and '0' indicates that the unit j is not in the running state; y isj(t) is the starting state of the unit j at the moment t, wherein '1' indicates that the unit j is in the starting state, and '0' indicates that the unit j is not in the starting state; zjAnd (t) represents the shutdown state of the unit j at the time t, wherein '1' represents the shutdown state, and '0' represents the shutdown state.
(3) Conventional power supply output
Xj(t)·Pj,min≤Pj(t)≤Pj,max·Xj(t) (5)
Pj(t+1)-Pj(t)≤ΔPj,up (6)
Pj(t)-Pj(t+1)≤ΔPj,down (7)
In the formula, Pj,min、Pj,maxThe lower and upper output limits, Delta P, of the unit jj,up、ΔPj,downThe maximum value of the climbing rate and the maximum value of the descending rate of the unit j are respectively.
(4) Thermal power generating unit heat supply
In the formula, Pj,BY(t) is the output of the back pressure thermal power generating unit at the moment t,
for the thermo-electric coupling coefficient of the heating unit, Hj(t) is the thermal demand at time t; pj,CQAnd (t) is the output of the steam extraction type thermal power generating unit at the moment t.
(5) Reserve capacity of grid rotation
Wherein J is the total number of the running units, PPreAnd PNreRespectively for the upper and lower rotation standby of the power grid.
Step 2-3: outbound channel modeling
In the formula (I), the compound is shown in the specification,
the lower limit value and the upper limit value of the power transmission capacity of the outgoing channel of the new energy base are respectively. Setting the transmission power reference direction as follows: the inflow region is in the positive direction and the outflow region is in the negative direction.
Step 2-4: and (6) optimizing and solving. And (4) carrying out optimization solution on the power grid time sequence simulation model established in the steps 2-1 to 2-3, and optimizing the new energy power generation limit condition of each time section. The optimization target is new energy consumption, see formula (12).
Wherein T is the total time period of optimization, generally the whole year, and N is the number of new energy delivery bases.
Step 3-1: and setting calculation parameters. The calculated parameters include outgoing channel capacity, acceptable new energy power limit (expected level).
Step 3-2: and calculating the consumption capacity of the new energy base. And (3) performing optimization calculation on the parameter values set in the step (3-1) through the power grid time sequence simulation model established in the step (2).
Step 3-3: and optimizing result comparison. And when the new energy consumption condition is lower than the pre-period power limit rate, reducing the capacity of the outward delivery channel, and when the new energy consumption condition is higher than the expected power limit rate, increasing the capacity of the outward delivery channel until the minimum value of the capacity of the outward delivery channel when the acceptable new energy power limit rate is optimized is used as the design capacity of the outward delivery channel of the new energy base.
By adopting the new energy base delivery channel power transmission capacity planning method provided by the patent, the new energy base delivery channel power transmission capacity is optimized and calculated based on case analysis carried out by a certain power grid. The case related parameters comprise new energy base data and receiving end power grid data, and the detailed parameters are as follows:
(1) new energy base data
The new energy base data comprises wind power and photovoltaic power generation output characteristic data and new energy installed capacity data, and the wind power and photovoltaic power generation output sample data is a time sequence of 15 minutes and a little in the whole year. Taking a one-week output sample as an example, the wind power output sample and the photovoltaic power output sample are respectively shown in fig. 3 and 4.
The new energy installed capacity is data considering the increase of new energy installed monthly, and the new energy installed capacity is prepared monthly. The installed capacities of wind power generation and photovoltaic power generation of the embodiment reach 620MW and 3300MW respectively at the end of the year, and the installed capacities in months are shown in Table 1.
TABLE 1 New energy resources installed capacity per month (unit: MW)
| Month of the year | Wind power generation | |
| 1 month | 470 | 2650 |
| 2 month | 470 | 2750 |
| 3 month | 470 | 2750 |
| 4 month | 470 | 2900 |
| |
520 | 2900 |
| 6 month | 520 | 2900 |
| 7 month | 520 | 3000 |
| 8 month | 520 | 3100 |
| 9 month | 520 | 3100 |
| 10 month | 520 | 3200 |
| 11 month | 620 | 3200 |
| 12 month | 620 | 3300 |
(2) Receiving end power grid data
The new energy power generation receiving-end power grid mainly comprises hydroelectric generating sets, the capacity of the hydroelectric generating assembly machine is 5400MW, 5 single-machine 300MW hydroelectric generating sets, 4 single-machine 320MW hydroelectric generating sets, 3 single-machine 340MW hydroelectric generating sets and 4 single-machine 400MW hydroelectric generating sets are adopted, the flexible adjusting capacity of the hydroelectric generating sets is high, and the minimum technical output is 0. The installed capacity of the thermal power generating unit is 3785MW, wherein 5 single units of 125MW thermal power generating units, 4 single units of 135MW thermal power generating units, 2 single units of 300MW thermal power generating units, 2 single units of 350MW thermal power generating units and 2 single units of 660MW thermal power generating units, and the minimum technical output of the thermal power generating units is 50%. In this case, the annual load capacity of the receiving-end power grid is 59.81TWh, the maximum load is 777MW, and taking a one-week output sample as an example, the load output sample is shown in fig. 5.
(3) Case analysis
Based on the data, the method provided by the invention calculates the relationship between the new energy power abandon rate and the delivery channel transmission capacity when the delivery channel transmission capacity of the new energy base is 900MW, 1100MW, 1300MW, 1500MW and 1700MW respectively, as shown in FIG. 6. The results of measurement and calculation by using the method provided by the invention show that under the above section transmission capacity, the new energy power abandon rates are respectively 1285GWh, 874GWh, 524GWh, 249GWh and 85GWh, and are respectively 20.9%, 14.2%, 8.5%, 4.0% and 1.4%. And if the allowable power abandon rate of the new energy base does not exceed 5%, the power transmission capacity of the outgoing channel needs to reach 1450 MW.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (8)
1. An optimal planning method for power transmission capacity of a new energy base outgoing channel is characterized by comprising the following steps:
carrying out statistics on output data of the new energy base;
constructing a power grid time sequence simulation model according to the new energy base output data;
carrying out optimization calculation on the capacity of an outgoing channel of the new energy base according to the power grid time sequence simulation model to obtain an optimal value of the capacity of the outgoing channel;
the method for optimizing and calculating the capacity of the delivery channel of the new energy base according to the power grid time sequence simulation model to obtain the optimal value of the capacity of the delivery channel comprises the following steps:
setting calculation parameters, wherein the calculation parameters comprise preset outgoing channel capacity and expected power limit rate;
based on the power grid time sequence simulation model, performing optimization calculation on the set parameters to obtain an optimal value of the capacity of the outgoing channel;
the step of performing optimization calculation on the set parameters to obtain an optimal value of the capacity of the outgoing channel comprises the following steps:
when the consumption of the new energy is lower than the pre-deadline electric rate, reducing the preset capacity of the outgoing channel; if the new energy consumption is higher than the expected power limit rate, increasing the preset capacity of the outgoing channel;
and until the minimum value of the capacity of the outgoing channel is obtained when the acceptable new energy power limit rate is obtained, wherein the minimum value is the optimal value of the capacity of the outgoing channel.
2. The method as claimed in claim 1, wherein the statistics of the new energy base outgoing channel transmission capacity includes:
according to the new energy base historical operating annual output data and the historical recorded wind power and solar power generation electricity limiting data, carrying out electricity limiting reduction on the new energy output data, and respectively obtaining theoretical power of wind power and solar power generation;
and dividing the theoretical power data of the wind power generation and the solar power generation by the installed capacity at the corresponding moment to respectively obtain the normalized data of the wind power generation and the solar power generation.
3. The method as claimed in claim 1, wherein the constructing of the grid timing simulation model includes:
constructing a new energy base wind power and solar power generation output model according to the new energy base output data;
constructing a new energy power generation receiving end power grid model;
constructing an outgoing channel model;
and optimizing the power limiting condition of the new energy power generation of each time section according to the wind power and solar power generation output model of the new energy base, the new energy power generation receiving end power grid model and the outgoing channel model.
4. The method as claimed in claim 3, wherein the model for optimizing the power transmission capacity of the outgoing channel of the new energy base comprises: wind power and solar power generation power constraints are shown as follows:
wherein, Pw,n(t) is the wind power of the new energy base n at the moment t;
the wind power theoretical power of the new energy base n at the time t is obtained; ppv,n(t) is the solar power generation power of the new energy base n at the time t;
for a new energy base nAnd (3) generating theoretical power by solar energy at the time t.
5. The method as claimed in claim 3, wherein the new energy generation receiving grid model comprises:
and (3) power balance constraint:
Pall.n(t)+Pw,n(t)+Ppv,n(t)+Ln,m(t)＝Pl(t)
wherein, Pall.n(t) is the total power of the generated output of all the conventional units at the moment t; l isn,m(t) is the transmission power from the new energy base n to the receiving end power grid m; pl(t) is the total power load at time t;
conventional power unit opens and stops restraint:
wherein, Xj(t) is the running state of the unit j at the moment t; y isj(t) is the starting state of the unit j at the moment t; zj(t) is the shutdown state of the unit j at the moment t;
conventional power output constraints:
Xj(t)·Pj,min≤Pj(t)≤Pj,max·Xj(t)
Pj(t+1)-Pj(t)≤ΔPj,up
Pj(t)-Pj(t+1)≤ΔPj,down
wherein, Pj,minAnd Pj,maxRespectively representing the lower output limit and the upper output limit of the unit j; delta Pj,upAnd Δ Pj,downRespectively the maximum value of the climbing rate and the maximum value of the descending rate of the unit j;
thermal power unit heat supply output restraint:
wherein, Pj,BY(t) the output of the back pressure thermal power generating unit at the moment t;
the thermoelectric coupling coefficient of the heating unit is set; hj(t) is the thermal demand at time t; pj,CQ(t) the output of the steam extraction thermal power generating unit at the moment t;
and (3) power grid rotation reserve capacity constraint:
wherein J is the total number of the running units; pPreAnd PNreRespectively for the upper and lower rotation standby of the power grid.
6. The method as claimed in claim 3, wherein the outbound path model comprises:
Ln,m(t)＝-Lm,n(t)
Ln,n(t)＝0
wherein the content of the first and second substances,
and
respectively is the lower limit value and the upper limit value, L, of the power transmission capacity of the outgoing channel of the new energy basen,mAnd (t) is the transmission power from the new energy base n to the receiving end power grid m.
7. The method as claimed in claim 3, wherein the optimizing the power limit condition of the new energy generation in each time slice according to the new energy base wind power and solar power generation output model, the new energy generation receiving end power grid model and the delivery channel model comprises: the new energy consumption is an optimization target, which is shown as the following formula:
wherein T is the total time period of optimization; and N is the number of new energy delivery bases.
8. An optimal planning device for a method of optimal planning of transmission capacity of new energy base delivery channels according to any of claims 1 to 7, characterized in that the device comprises:
the data acquisition module is used for counting the output data of the new energy base;
the model establishing module is used for establishing a power grid time sequence simulation model according to the new energy base output data;
the optimization module is used for carrying out optimization calculation on the capacity of a new energy base delivery channel according to the power grid time sequence simulation model;
the data acquisition module is used for acquiring the data,
according to the new energy base historical operating annual output data and the historical recorded wind power and solar power generation electricity limiting data, carrying out electricity limiting reduction on the new energy output data, and respectively obtaining theoretical power of wind power and solar power generation;
dividing theoretical power data of wind power generation and solar power generation by installed capacity at corresponding moment to respectively obtain normalized data of the wind power generation and the solar power generation;
the model building module comprises:
the new energy output model submodule is used for constructing a new energy base wind power and solar power generation output model according to the new energy base output data;
the receiving-end power grid model submodule is used for constructing a new energy power generation receiving-end power grid model;
the delivery channel model submodule is used for constructing a delivery channel model;
the optimization submodule is used for optimizing the new energy power generation limit condition of each time section according to a new energy base wind power and solar power generation output model, a new energy power generation receiving end power grid model and an outgoing channel model;
the optimization module comprises:
the setting submodule is used for setting calculation parameters, and the calculation parameters comprise preset capacity of an outgoing channel and expected power limit rate;
and the calculation submodule is used for carrying out optimization calculation on the set parameters based on the power grid time sequence simulation model to obtain the optimal value of the capacity of the outgoing channel.
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