CN116488180B - New energy intelligent scheduling method and system based on source network charge storage cooperation - Google Patents
New energy intelligent scheduling method and system based on source network charge storage cooperation Download PDFInfo
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Abstract
The application relates to the technical field of source network charge storage, and particularly discloses a new energy intelligent scheduling method and system based on source network charge storage cooperation, wherein the method comprises the following steps: obtaining predicted power of a new energy power station and new energy power generation preplanned quantity; calculating an accommodation space under peak shaving constraint; carrying out feasibility check on the new energy power generation pre-planning quantity; calculating the limited electric quantity according to the total predicted power and the new energy power generation pre-calculated; calculating the electricity limiting quantity of each new energy power station; acquiring updated new energy power generation pre-planning quantity, and checking; calculating a planned change amount and a change coefficient, and determining an operation state; and (5) making a power limiting plan for each new energy power station according to the operation state. The same batch of new energy power stations are orderly arranged and distributed according to the grid-connected performance under the condition that adjustment is required, and when the power generation plan changes, adjustment is also carried out on the premise of maximizing the stability of the power grid, so that the fairness of scheduling and the stable operation of the power grid can be realized.
Description
Technical Field
The application relates to the technical field of source network charge storage, in particular to a new energy intelligent scheduling method and system based on source network charge storage cooperation.
Background
The source network charge storage is a novel electric power operation mode which takes a power supply, a power grid, a load and energy storage as an integral plan. In the past, the regulation and control of a power grid system mainly adopts a mode of 'source follow-up', and when the power load suddenly increases, once the power generation capacity of a power source side is insufficient, unbalance of supply and demand occurs, so that the safe operation of the power grid is seriously affected. Along with the pace of building a novel power system, the specific gravity of new energy sources represented by wind power and photovoltaics in an energy system structure is continuously improved, but the fluctuation, intermittence and randomness characteristics of the new energy sources also bring challenges to the stable operation of a power grid. The source network charge storage can promote accurate matching of the two sides of supply and demand, clean energy is utilized to the maximum extent, the problems of clean energy consumption, grid fluctuation generated by the clean energy consumption and the like are effectively solved, and the comprehensive efficiency of the power system is improved.
And as the main component in the new energy, the output of wind, photoelectricity and the like has strong uncertainty, the prediction difficulty is high, the prediction precision is low, and the prediction error is larger as the prediction advance time is longer. Thus, large-scale access to new energy sources may lead to increased uncertainty in the power system. In the patent application document with the application number of 2017108174912 and the name of a new energy power station grid-connected scheduling method, the patent application document discloses: step 1, reporting the output power prediction of a new energy power station, and obtaining the new energy prediction power under a section through scheduling summarized data; step 2, calculating a new energy receiving space under the section according to the conventional power supply output prediction and the bus load prediction and combining the section limit; step 3, comparing the new energy prediction power in the step 1 with the new energy receiving space in the step 2; step 4, judging whether the electricity limiting is needed according to the comparison result in the step 3, and then carrying out peak regulation constraint checking; and 5, after the peak regulation constraint check in the step 4 is finished, determining a new energy power station power generation plan. The purposes of reasonably arranging the operation mode of the power grid, reducing the spare capacity of equipment and increasing new energy consumption are achieved.
In the description of the prior art, it can be known that in the process of grid-connected operation of the new energy power station, the predicted power of the new energy power station needs to be compared with the receiving space, the power limitation is performed when the predicted power is larger than the receiving space, and the power generation plan is directly arranged when the predicted power is smaller than the receiving space; in a specific electricity limiting rule, the electricity limiting powers of different new energy power stations are distributed in sequence according to a new energy power station sequencing rule, so that the electricity limiting powers of different new energy power stations are required to be limited to different degrees, and when a power generation plan changes, the electricity limiting distribution is required to be recalculated and all new energy power stations are required to be adjusted at the same time, so that the operation is more troublesome and the influence factors are more.
Disclosure of Invention
The application aims to provide a new energy intelligent scheduling method and system based on source network charge storage cooperation, which solve the technical problems:
the aim of the application can be achieved by the following technical scheme:
a new energy intelligent scheduling method based on source network charge storage cooperation comprises the following steps:
step S1: obtaining predicted power Cyi and new energy power generation preplanned quantity Cj of each new energy power station;
step S2: calculating to obtain a new energy receiving space according to the conventional power supply output prediction, the bus load and the transmission section limit between the new energy power station and the regional power grid, and obtaining a receiving space Cjn under peak regulation constraint according to the load prediction, the tie line plan and the conventional energy plan of the system;
step S3: generating a pre-planned amount of the new energy according to the receiving space Cjn of the current power gridPerforming feasibility checking and adjusting;
step S4: calculating total predicted power Cne=Cy1+Cy2+ & gt Cyi of each new energy power station, and calculating limited electric quantity according to the total predicted power Cne and the adjusted new energy power generation pre-planned quantity Cj, wherein Gi is predicted power of the new energy power station i;
step S5: according to the formulaCalculating each new energy power stationAnd then calculating the electricity limiting quantity through a formula:
；
wherein,,is the electricity limiting quantity of the new energy power station i, < >>For the new energy station i's electricity limiting reference capacity, < >>For the rated installed capacity of the new energy station i, < >>Assessment score result for net-related performance of new energy power station i, < >>The method is an average value of network-related performance assessment results of the whole-network new energy power station;
step S6: acquiring updated new energy power generation pre-planning quantity Cgx, and executing the steps S2-S3 again;
step S7: calculating a plan change amount delta c=cgx-Cj, calculating a change coefficient beta=delta C/Cj, judging that the current operation is to cut down the new energy power generation amount when beta is smaller than 0, and executing step S8; when beta is more than 0, judging that the current operation is to increase the new energy generating capacity, and executing step S9;
step S8: when the new energy generating capacity is judged to be reduced, when 1 > |beta| > beta ', starting from the new energy with the lowest network performance assessment ranking, sequentially calling the new energy power stations ranked on the new energy power stations, wherein the total number of the called new energy power stations is S=Mbeta', and calculating the secondary electricity limiting quantity:
；
wherein,,for the secondary electricity limiting of the new energy power station i, M is the total number of the new energy power stations, beta 'is a preset proportionality coefficient, 1 > beta' > 0,/for the new energy power station i>The total sum of the evaluation scores of the network-related performance of the new energy power station which is called at the time is checked;
when |beta| < beta', starting from the new energy power station with the lowest evaluation rank of the network-related performance, calculating the maximum electricity limit sequentially from bottom to top according to the rank:
；
wherein,,for the current output power of the new energy power station i, < >>For the minimum output power of the new energy power station i, sequentially limiting the power of each new energy power station according to the maximum limit power of each new energy power station until the limit power is equal to the planned change quantity delta C;
step S9: when the generation amount of the new energy is judged to be increased, when beta is larger than beta ', starting from the new energy with highest evaluation rank of the network-related performance, sequentially calling the new energy power stations ranked at the next position, wherein the total number of the called new energy power stations is S=Mbeta', and calculating the power increase amount:
；
wherein,,the power increment of the new energy power station i is realized;
when beta is smaller than beta', starting from the new energy power station with highest evaluation rank of the network performance, calculating the maximum power from top to bottom according to the rank:
；
wherein,,and (3) for rated power generation of the new energy power station i, sequentially increasing the power of each new energy power station according to the maximum power increase of each new energy power station until the power increase is equal to the planned change amount delta C.
As a further scheme of the application: the feasibility check of the new energy power generation pre-planning quantity Cj specifically comprises the following steps:
step S31: calculating a plan deviation amount Δc= Cjn-Cj;
step S32: when delta C is more than or equal to KCjn, judging that the receiving space of the current power grid meets the power generation requirement, wherein K is a preset safety coefficient;
step S32: when deltaC is less than KCjn, judging that the receiving space of the current power grid does not meet the power generation requirement, and adjusting the new energy power generation preplanned quantity to enable Cj=KCjn.
As a further scheme of the application: in step S6, if the updated new energy power generation pre-planned amount Cgx is smaller than the new energy power generation pre-planned amount Cj, steps S2-S3 are not required to be executed, and the process proceeds directly to step S7.
As a further scheme of the application: and when the change coefficient beta= -1, judging the current state as off-grid, and executing off-grid operation on the new energy power station.
As a further scheme of the application: when the new energy generating capacity is judged to be reduced and |beta| < beta', the n new energy power stations with the top ranking reciprocal are selected according to the ranking, and when the maximum limit electric quantity sum of the n new energy power stations is calculatedWhen the new energy power stations ranked (M-n+2) to ranked M limit electricity according to the maximum limit electricity, and the limit electricity of the new energy power station ranked (M-n+1) is +.>。
As a further scheme of the application: when it is determined that the new energy power generation amount is reduced and |beta| < beta', the secondary electricity limit of a certain new energy power station is calculatedGreater than maximum limit of electric quantity->When the current secondary limit electric power of the new energy power station is the maximum electric power +.>Deviation of ∈> And counting the secondary electricity limiting quantity of the new energy power station which is the upper rank.
As a further scheme of the application: when the new energy generating capacity is judged to be increased and beta is smaller than beta', selecting n new energy power stations with the top ranking according to the ranking, and adding the maximum electricity increasing quantity sum of the n new energy power stationsWhen the new energy power stations ranked 1 to (n-1) are powered up according to the maximum power increase amount, and the power increase amount of the new energy power station ranked n is +.>。
As a further scheme of the application: when the new energy generating capacity is determined to be increased and beta is larger than beta', the electricity increasing amount of a certain new energy power station is increasedGreater than maximum charge capacity->When the new energy power station is in the current timeThe charge capacity is the maximum charge capacityDeviation of ∈>And counting the power increment amount of the next new energy power station.
A new energy intelligent scheduling system based on source network charge storage cooperation comprises:
and the power generation plan checking module is used for: carrying out feasibility check and adjustment on the new energy power generation pre-planning quantity according to the current power grid receiving space;
the first electricity limiting module: calculating the electricity limiting reference capacity of each new energy power station according to the electricity limiting reference capacity of each new energy power station;
and an updating module: and obtaining the updated new energy power generation pre-planning quantity, and rearranging the electricity limiting plan through the planning change quantity.
The application has the beneficial effects that: for a new energy power generation plan, calculating the change between the current power generation plan and the previous power generation plan, namely, the plan change quantity delta C and the change coefficient beta in the application, when beta is smaller than 0, cgx is smaller than Cj, the current new energy power generation quantity needs to be reduced, in the reduction process, 1 > |beta| > beta 'represents that the current quantity needs to be reduced is larger, namely, the plan change quantity delta C is larger, so that a plurality of new energy power stations with lower ranks are adopted to bear the current reduction task together, and |beta| < beta' represents that the current quantity needs to be reduced is smaller, and in order to simplify the operation, the current reduction task is directly reduced from the new energy power station with the lowest rank according to the maximum limit quantity until the current reduction task is met; when beta is more than 0, cgx is more than Cj, the current new energy generating capacity needs to be increased, and in the power increasing process, when beta is more than beta ', the current new energy generating capacity needs to be increased is larger, so that a plurality of new energy power stations with higher ranks are adopted to bear the current power increasing task together, when beta is less than beta', the current new energy power stations need to be increased is smaller, and in order to simplify the operation, the power increasing is directly carried out from the new energy power station with the highest rank according to the maximum power increasing capacity until the current power increasing task is met; therefore, the ordered sorting distribution is carried out according to the grid-connected performance of the new energy power stations in the same batch under the condition that the adjustment is required, the power generation plan is changed, the adjustment is carried out on the premise of maximizing the stability of the power grid, and the dispatching fairness and the stable operation of the power grid can be realized.
Drawings
The application is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic flow chart of a new energy intelligent scheduling method based on source network charge storage coordination.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, the application discloses a new energy intelligent scheduling method based on source network load storage cooperation, which comprises the following steps:
step S1: obtaining predicted power Cyi and new energy power generation preplanned quantity Cj of each new energy power station;
step S2: calculating to obtain a new energy receiving space according to the conventional power supply output prediction, the bus load and the transmission section limit between the new energy power station and the regional power grid, and obtaining a receiving space Cjn under peak regulation constraint according to the load prediction, the tie line plan and the conventional energy plan of the system;
step S3: generating a pre-planned amount of the new energy according to the receiving space Cjn of the current power gridPerforming feasibility checking and adjusting;
step S4: calculating total predicted power Cne=Cy1+Cy2+ & gt Cyi of each new energy power station, and calculating limited electric quantity according to the total predicted power Cne and the adjusted new energy power generation pre-planned quantity Cj, wherein Gi is predicted power of the new energy power station i;
step S5: according to the formulaCalculating the electricity limiting reference capacity of each new energy power station, and calculating the electricity limiting quantity through a formula:
；
wherein,,is the electricity limiting quantity of the new energy power station i, < >>For the new energy station i's electricity limiting reference capacity, < >>For the rated installed capacity of the new energy station i, < >>Assessment score result for net-related performance of new energy power station i, < >>The method is an average value of network-related performance assessment results of the whole-network new energy power station;
step S6: acquiring updated new energy power generation pre-planning quantity Cgx, and executing the steps S2-S3 again;
step S7: calculating a plan change amount delta c=cgx-Cj, calculating a change coefficient beta=delta C/Cj, judging that the current operation is to cut down the new energy power generation amount when beta is smaller than 0, and executing step S8; when beta is more than 0, judging that the current operation is to increase the new energy generating capacity, and executing step S9;
step S8: when the new energy generating capacity is judged to be reduced, when 1 > |beta| > beta ', starting from the new energy with the lowest network performance assessment ranking, sequentially calling the new energy power stations ranked on the new energy power stations, wherein the total number of the called new energy power stations is S=Mbeta', and calculating the secondary electricity limiting quantity:
；
wherein,,for the secondary electricity limiting of the new energy power station i, M is the total number of the new energy power stations, beta 'is a preset proportionality coefficient, 1 > beta' > 0,/for the new energy power station i>The total sum of the evaluation scores of the network-related performance of the new energy power station which is called at the time is checked;
when |beta| < beta', starting from the new energy power station with the lowest evaluation rank of the network-related performance, calculating the maximum electricity limit sequentially from bottom to top according to the rank:
；
wherein,,for the current output power of the new energy power station i, < >>For the minimum output power of the new energy power station i, sequentially limiting the power of each new energy power station according to the maximum limit power of each new energy power station until the limit power is equal to the planned change quantity delta C;
step S9: when the generation amount of the new energy is judged to be increased, when beta is larger than beta ', starting from the new energy with highest evaluation rank of the network-related performance, sequentially calling the new energy power stations ranked at the next position, wherein the total number of the called new energy power stations is S=Mbeta', and calculating the power increase amount:
；
wherein,,the power increment of the new energy power station i is realized;
when beta is smaller than beta', starting from the new energy power station with highest evaluation rank of the network performance, calculating the maximum power from top to bottom according to the rank:
；
wherein,,and (3) for rated power generation of the new energy power station i, sequentially increasing the power of each new energy power station according to the maximum power increase of each new energy power station until the power increase is equal to the planned change amount delta C.
In the application, firstly, the grid connection problem of the new energy power station is considered, and the preset new energy power generation plan is checked and adjusted through the receiving space of the power grid under the condition of peak regulation divisor so as to ensure that the new energy power station conforming to the new energy power generation plan does not interfere with the normal operation of the power grid after being integrated into the power grid; then, designing a power limiting plan according to the regulated new energy power generation plan and the grid-related performance of each new energy power station, and merging each new energy power station which completes the power limiting plan into a power grid, so that the power generation plan can be completed, and grid connection of the new energy power stations can not be influenced;
it should be noted that, after grid connection is completed for the first time, a new energy power generation plan is often issued again according to the change of the actual demand, and the new energy power station needs to be adjusted for the change of the plan, and the new power generation plan can be completed in the steps S1-S5 of the present application, but the existing new energy power station needs to be disconnected from the grid, and the electricity limiting amount of each power station is more troublesome to recalculate, so the present application also provides the steps S7-S9 for simplifying the operation.
For a new energy power generation plan, calculating the change between the current power generation plan and the previous power generation plan, namely, the plan change quantity delta C and the change coefficient beta in the application, when beta is smaller than 0, cgx is smaller than Cj, the current new energy power generation quantity needs to be reduced, in the reduction process, 1 > |beta| > beta 'represents that the current quantity needs to be reduced is larger, namely, the plan change quantity delta C is larger, so that a plurality of new energy power stations with lower ranks are adopted to bear the current reduction task together, and |beta| < beta' represents that the current quantity needs to be reduced is smaller, and in order to simplify the operation, the current reduction task is directly reduced from the new energy power station with the lowest rank according to the maximum limit quantity until the current reduction task is met; when beta is more than 0, cgx is more than Cj, the current new energy generating capacity needs to be increased, and in the power increasing process, when beta is more than beta ', the current new energy generating capacity needs to be increased is larger, so that a plurality of new energy generating stations with higher ranks are adopted to bear the current power increasing task together, when beta is less than beta', the current new energy generating station needs to be increased is smaller, and in order to simplify the operation, the current power increasing task is directly carried out from the new energy generating station with the highest rank according to the maximum electricity limiting capacity until the current power increasing task is met; therefore, the ordered sorting distribution is carried out according to the grid-connected performance of the new energy power stations in the same batch under the condition that the adjustment is required, the power generation plan is changed, the adjustment is carried out on the premise of maximizing the stability of the power grid, and the dispatching fairness and the stable operation of the power grid can be realized.
In a preferred embodiment of the present application, the feasibility check of the new energy power generation pre-planning amount Cj specifically includes the following steps:
step S31: calculating a plan deviation amount Δc= Cjn-Cj;
step S32: when delta C is more than or equal to KCjn, judging that the receiving space of the current power grid meets the power generation requirement, wherein K is a preset safety coefficient;
step S32: when deltaC is less than KCjn, judging that the receiving space of the current power grid does not meet the power generation requirement, and adjusting the new energy power generation preplanned quantity to enable Cj=KCjn.
In another preferred embodiment of the present application, in step S5, if the updated new energy power generation pre-planned amount Cgx is smaller than the new energy power generation pre-planned amount Cj, steps S2-S3 are not required to be executed, and the process proceeds directly to step S6. When Cgx is smaller than Cj, the new energy plant needs to be limited in power to reduce the task, and therefore, the problem of the receiving space of the power grid does not need to be considered.
In another preferred embodiment of the present application, when the change coefficient β= -1, the current state is determined to be off-grid, and the off-grid operation is performed on the new energy power station. In theory, when β= -1, cgx=0, and the new energy power station is not required to provide output, that is, the new energy power station is subjected to off-grid operation.
In another preferred embodiment of the present application, when it is determined to cut down the amount of new energy generation and |β| < β', the n new energy power stations with the top n of the ranking are selected according to the ranking, and when the maximum limit electric power sum of the n new energy power stations is calculatedWhen the new energy power stations ranked (M-n+2) to ranked M limit electricity according to the maximum limit electricity, and the limit electricity of the new energy power station ranked (M-n+1) is +.>，
In the present embodiment, when it is determined to cut down the new energy power generation amount and |β| < β', when the secondary electricity limit amount of a certain new energy power stationGreater than maximum limit of electric quantity->When the current secondary limit electric power of the new energy power station is the maximum electric power +.>Deviation of ∈>And counting the secondary electricity limiting quantity of the new energy power station which is the upper rank.
According to the embodiment, in specific reduction distribution, the new energy power station with good grid connection performance can be reduced or even not reduced by taking the grid connection performance of the new energy power station as a standard, and the precondition is that the current planned change amount is regulated and the minimum output of each new energy power station is ensured.
In another preferred embodiment of the present application, when it is determined to increase the amount of new energy power generation, β < β', the top n new energy power stations are selected according to the ranking, and when the sum of the maximum amounts of power increases of the n new energy power stationsWhen the new energy power stations ranked 1 to (n-1) increase power according to the maximum power increase amount, and the power increase amount of the new energy power station ranked n is +.>。
As a further scheme of the application: when the new energy generating capacity is determined to be increased and beta is larger than beta', the electricity increasing amount of a certain new energy power station is increasedGreater than maximum charge capacity->When the current power increase of the new energy power station is the maximum power increaseDeviation of ∈>And counting the power increment amount of the next new energy power station.
A new energy intelligent scheduling system based on source network charge storage cooperation comprises:
and the power generation plan checking module is used for: carrying out feasibility check and adjustment on the new energy power generation pre-planning quantity according to the current power grid receiving space;
the first electricity limiting module: calculating the electricity limiting reference capacity of each new energy power station according to the electricity limiting reference capacity of each new energy power station;
and an updating module: and obtaining the updated new energy power generation pre-planning quantity, and rearranging the electricity limiting plan through the planning change quantity.
The foregoing describes one embodiment of the present application in detail, but the description is only a preferred embodiment of the present application and should not be construed as limiting the scope of the application. All equivalent changes and modifications within the scope of the present application are intended to be covered by the present application.
Claims (9)
1. The intelligent new energy scheduling method based on the cooperation of source network and charge storage is characterized by comprising the following steps:
step S1: obtaining predicted power Cyi and new energy power generation preplanned quantity Cj of each new energy power station;
step S2: calculating to obtain a new energy receiving space according to the conventional power supply output prediction, the bus load and the transmission section limit between the new energy power station and the regional power grid, and obtaining a receiving space Cjn under peak regulation constraint according to the load prediction, the tie line plan and the conventional energy plan of the system;
step S3: carrying out feasibility check and adjustment on the new energy power generation pre-planning quantity Cj according to the receiving space Cjn of the current power grid;
step S4: calculating total predicted power Cne=Cy1+Cy2+ & gt Cyi of each new energy power station, and calculating the limited electric quantity according to the total predicted power Cne and the adjusted new energy power generation pre-planned quantity Cj, wherein Cyi is the predicted power of the new energy power station i;
step S5: according to the formulaCalculating the electricity limiting reference capacity of each new energy power station, and calculating the electricity limiting capacity of each new energy power station through a formula:
wherein (1)>Is the electricity limiting quantity of the new energy power station i, < >>For the new energy station i's electricity limiting reference capacity, < >>For the rated installed capacity of the new energy station i, < >>Assessment score result for net-related performance of new energy power station i, < >>The method is an average value of network-related performance assessment results of the whole-network new energy power station;
step S6: acquiring updated new energy power generation pre-planning quantity Cgx, and executing the steps S2-S3 again;
step S7: calculating a plan change amount delta c=cgx-Cj, calculating a change coefficient beta=delta C/Cj, judging that the current operation is to cut down the new energy power generation amount when beta is smaller than 0, and executing step S8; when beta is more than 0, judging that the current operation is to increase the new energy generating capacity, and executing step S9;
step S8: when the new energy generating capacity is judged to be reduced, when 1 > |beta| > beta ', starting from the new energy with the lowest network performance assessment ranking, sequentially calling the new energy power stations ranked on the new energy power stations, wherein the total number of the called new energy power stations is S=Mbeta', and calculating the secondary electricity limiting quantity:
wherein (1)>For the secondary electricity limiting of the new energy power station i, M is the total number of the new energy power stations, beta 'is a preset proportionality coefficient, 1 > beta' > 0,/for the new energy power station i>Grid-related for new energy power station called this timeSum of performance assessment scores;
when |beta| < beta', starting from the new energy power station with the lowest evaluation rank of the network-related performance, calculating the maximum electricity limit sequentially from bottom to top according to the rank:
wherein (1)>For the current output power of the new energy power station i, < >>For the minimum output power of the new energy power station i, sequentially limiting the power of each new energy power station according to the maximum limit power of each new energy power station until the limit power is equal to the planned change quantity delta C;
step S9: when the generation amount of the new energy is judged to be increased, when beta is larger than beta ', starting from the new energy with highest evaluation rank of the network-related performance, sequentially calling the new energy power stations ranked at the next position, wherein the total number of the called new energy power stations is S=Mbeta', and calculating the power increase amount:
wherein (1)>The power increment of the new energy power station i is realized;
when beta is smaller than beta', starting from the new energy power station with highest evaluation rank of the network performance, calculating the maximum power from top to bottom according to the rank:
wherein (1)>Rated power generation amount of the new energy power station i is calculated according to each new energyAnd (3) sequentially increasing the electricity of each new energy power station by the maximum electricity increasing amount of the power station until the electricity increasing amount is equal to the planned change amount delta C.
2. The intelligent new energy scheduling method based on the cooperation of source network and charge storage, according to claim 1, is characterized in that the feasibility check of the new energy power generation pre-planning quantity Cj specifically comprises the following steps:
step S31: calculating a plan deviation amount Δc= Cjn-Cj;
step S32: when delta C is more than or equal to KCjn, judging that the receiving space of the current power grid meets the power generation requirement, wherein K is a preset safety coefficient;
step S32: when deltaC is less than KCjn, judging that the receiving space of the current power grid does not meet the power generation requirement, and adjusting the new energy power generation preplanned quantity to enable Cj=KCjn.
3. The intelligent scheduling method for new energy based on the cooperation of source network and charge storage according to claim 1, wherein in step S6, if the updated new energy power generation pre-planned quantity Cgx is smaller than the new energy power generation pre-planned quantity Cj, steps S2-S3 are not required to be executed, and step S7 is directly entered.
4. The intelligent scheduling method for new energy based on source network charge storage coordination according to claim 1, wherein when a change coefficient beta= -1, the current state is determined to be off-grid, and off-grid operation is performed on the new energy power station.
5. The intelligent new energy scheduling method based on the coordination of source network charge storage according to claim 1, wherein when the new energy generating capacity is judged to be reduced and |beta| < beta', n new energy power stations with the top ranking reciprocal are selected according to the ranking, and when the maximum limit power sum of the n new energy power stations is calculatedThen ranking (M-n+2) to the new energy power station ranked M according toThe maximum electricity limiting quantity is limited, and the electricity limiting quantity of the new energy power station ranked as (M-n+1) is 。
6. The intelligent scheduling method for new energy based on the coordination of energy network and charge storage according to claim 5, wherein when it is determined that the new energy generating capacity is reduced and |beta| < beta', when the secondary electricity limiting capacity of a certain new energy power station is smaller than betaGreater than maximum limit of electric quantity->When the current secondary limit electric power of the new energy power station is the maximum electric power +.>The deviation amount of itAnd counting the secondary electricity limiting quantity of the new energy power station which is the upper rank.
7. The intelligent new energy scheduling method based on the coordination of source network charge storage according to claim 1, wherein when the new energy generating capacity is determined to be increased and beta is smaller than beta', n new energy power stations with the top rank are selected according to the rank, and when the maximum power increment sum of the n new energy power stations is equal to the sum of the maximum power increment of the n new energy power stationsWhen the new energy power stations ranked 1 to (n-1) increase power according to the maximum power increase amount, and the power increase amount of the new energy power station ranked n is +.>。
8. The intelligent scheduling method for new energy based on coordination of source network and charge storage according to claim 7, wherein when it is determined that the generated energy of new energy is increased and beta is greater than beta', the power increasing amount of a certain new energy power stationGreater than the maximum charge capacityWhen the current power increase of the new energy power station is the maximum power increase +.>Deviation of ∈> And counting the power increment amount of the next new energy power station.
9. The utility model provides a new forms of energy intelligent scheduling system based on source network lotus stores up cooperately which characterized in that includes:
and the power generation plan checking module is used for: carrying out feasibility check and adjustment on the new energy power generation pre-planning quantity according to the current power grid receiving space;
the first electricity limiting module: calculating the electricity limiting reference capacity of each new energy power station according to the electricity limiting reference capacity of each new energy power station;
and an updating module: acquiring updated new energy power generation pre-planning quantity, and rearranging a power limiting plan through a planning change quantity;
in the power generation plan checking module, the following steps are specifically executed:
step S1: obtaining predicted power Cyi and new energy power generation preplanned quantity Cj of each new energy power station;
step S2: calculating to obtain a new energy receiving space according to the conventional power supply output prediction, the bus load and the transmission section limit between the new energy power station and the regional power grid, and obtaining a receiving space Cjn under peak regulation constraint according to the load prediction, the tie line plan and the conventional energy plan of the system;
step S3: carrying out feasibility check and adjustment on the new energy power generation pre-planning quantity Cj according to the receiving space Cjn of the current power grid;
in the first electricity limiting module, the following steps are specifically executed:
step S4: calculating total predicted power Cne=Cy1+Cy2+ & gt Cyi of each new energy power station, and calculating the limited electric quantity according to the total predicted power Cne and the adjusted new energy power generation pre-planned quantity Cj, wherein Cyi is the predicted power of the new energy power station i;
step S5: according to the formulaCalculating the electricity limiting reference capacity of each new energy power station, and calculating the electricity limiting capacity of each new energy power station through a formula:
wherein (1)>Is the electricity limiting quantity of the new energy power station i, < >>For the new energy station i's electricity limiting reference capacity, < >>For the rated installed capacity of the new energy station i, < >>The net-related performance of the new energy power station i is checked and scored,the method is an average value of network-related performance assessment results of the whole-network new energy power station;
step S6: acquiring updated new energy power generation pre-planning quantity Cgx, and executing the steps S2-S3 again;
in the update module, the following steps are specifically executed:
step S7: calculating a plan change amount delta c=cgx-Cj, calculating a change coefficient beta=delta C/Cj, judging that the current operation is to cut down the new energy power generation amount when beta is smaller than 0, and executing step S8; when beta is more than 0, judging that the current operation is to increase the new energy generating capacity, and executing step S9;
step S8: when the new energy generating capacity is judged to be reduced, when 1 > |beta| > beta ', starting from the new energy with the lowest network performance assessment ranking, sequentially calling the new energy power stations ranked on the new energy power stations, wherein the total number of the called new energy power stations is S=Mbeta', and calculating the secondary electricity limiting quantity:
wherein (1)>For the secondary electricity limiting of the new energy power station i, M is the total number of the new energy power stations, beta 'is a preset proportionality coefficient, 1 > beta' > 0,/for the new energy power station i>The total sum of the evaluation scores of the network-related performance of the new energy power station which is called at the time is checked;
when |beta| < beta', starting from the new energy power station with the lowest evaluation rank of the network-related performance, calculating the maximum electricity limit sequentially from bottom to top according to the rank:
wherein (1)>For the current output power of the new energy power station i, < >>For the minimum output power of the new energy power station i, sequentially limiting the power of each new energy power station according to the maximum limit power of each new energy power station until the limit power is equal to the planned change quantity delta C;
step S9: when the generation amount of the new energy is judged to be increased, when beta is larger than beta ', starting from the new energy with highest evaluation rank of the network-related performance, sequentially calling the new energy power stations ranked at the next position, wherein the total number of the called new energy power stations is S=Mbeta', and calculating the power increase amount:
wherein (1)>The power increment of the new energy power station i is realized;
when beta is smaller than beta', starting from the new energy power station with highest evaluation rank of the network performance, calculating the maximum power from top to bottom according to the rank:
wherein (1)>And (3) for rated power generation of the new energy power station i, sequentially increasing the power of each new energy power station according to the maximum power increase of each new energy power station until the power increase is equal to the planned change amount delta C.
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