Section control method and system based on centralized and distributed new energy

Abstract

A section control method based on centralized and distributed new energy is characterized by comprising the following steps: calculating a deviation between a power limit value of an outermost section and real-time power, and pre-distributing regulation power after a transaction part is superposed to all related new energy stations; after each adjustment power pre-distribution is finished, verifying all the sections from outside to inside by adopting a depth-first search algorithm, and judging whether all the sections i meet a constraint condition that P'si is less than or equal to Psimax; when all the sections i meet the constraint condition that P'si is smaller than or equal to Psimax, search judgment is ended, and a control instruction is issued to each new energy station; p'si is the active power value of the section i, and Psimax is the active limit value of the section i. On the premise of ensuring the safety of the sections, the target load rates of the sections of the same level are the same through a load rate balancing strategy, and the absorption capacity of the sections is utilized to the maximum extent.

Description

Technical Field

[0001] The present invention relates to the field of power systems, and more specifically, to a section control method and system based on centralized and distributed new energy sources. Background Art

[0002] With the wide access of distributed new energy sources, large-scale new energy field groups formed by centralized new energy sources are gradually increasing. Their outgoing channels often consist of multiple levels of sections, and many different new energy stations are connected under each level of section. As the installed capacity of new energy increases and the aggregation levels continue to increase, the coupling of multiple levels of sections becomes increasingly common. The transmission capacity of the outgoing channel is limited. When the output of new energy is large, it may cause the section power flow to exceed the limit, affecting the safe and stable operation of the power grid. In order to ensure safety, the traditional power grid operation mode often reserves sufficient margins for each section, but this will cause problems such as difficult improvement of section utilization rate and difficulty in sending out new energy.

[0003] Traditional methods usually only focus on whether the section is over-limited, ignoring the load rate balance between sections, which may lead to low utilization rate of some sections. For the problem of multi-layer nested sections, traditional methods may need to solve large-scale optimization problems simultaneously, with high computational complexity. Usually, a fixed priority allocation strategy is adopted, making it difficult to flexibly handle section over-limit problems.

[0004] In view of the above problems, there is an urgent need for a section control method and system based on centralized and distributed new energy sources. Summary of the Invention

[0005] To solve the deficiencies in the prior art, the present invention provides a section control method and system based on centralized and distributed new energy sources. On the premise of ensuring section safety, through a load rate balance strategy, the target load rates of the same-level sections are made the same, maximizing the section absorption capacity.

[0006] The present invention adopts the following technical solutions.

[0007] In the first aspect of the present invention, a section control method based on centralized and distributed new energy sources is provided. The method includes the following steps: calculating the power limit value P of the outermost section plc +L sec and the deviation from the real-time power P sec +Buy sec +Q sec and pre-distributing the adjusted power Pdes n after superimposing the trading part Buy n to all relevant new energy stations; after each pre-distribution of the adjusted power, using the depth-first search algorithm to check all sections from the outside to the inside to determine whether all sections i satisfy the constraint condition P′ si ≤Psimax ; When all cross - sections i satisfy the constraint condition P′ si ≤P simax , the search and judgment end, and control instructions are sent to each new - energy power station; P′ si is the active - power value of cross - section i, and P simax is the active - power limit of cross - section i.

[0008] Calculate the power limit P plc +L sec of the outermost cross - section and the deviation from the real - time power P sec +Buy sec +Q sec . And pre - allocate the adjusted power Pdes n after superimposing the trading part Buy n to all relevant new - energy power stations, including: The power pre - allocation method includes allocating the AGC target value of power station n, and the AGC target value of power station n is:

[0009]

[0010] In the formula, P plc is the total active power of controllable new - energy power stations under the cross - section,

[0011] L sec is the limit of the cross - section,

[0012] P sec is the real - time active power of the cross - section,

[0013] Buy sec is the total power traded by power stations under the cross - section,

[0014] Q sec is the sum of the target values of power stations that are not adjusted in this time under the cross - section,

[0015] Cap n is the virtual capacity of power station n,

[0016] Buy n is the spot - trading power of power station n.

[0017] After each adjustment power pre - allocation is completed, use the depth - first search algorithm to check all cross - sections from the outside to the inside, and judge whether all cross - sections i satisfy the constraint condition P′ si ≤P simax , including: For the current cross - section, calculate the adjustment amount ΔP Si of the active power of all sub - cross - sections under the current cross - section and the sum P Si with the original cross - section active power; If the summation result P′ si is greater than the corresponding sub - cross - section limit P simax, that is, a fallback mechanism is adopted to redistribute the active power of the new energy power station starting from the out-of-limit sub-section, and so on until all sub-sections meet the constraint conditions; if the summation result P′ si is not greater than the corresponding sub-section limit P simax , that is, the target output of the power station for this sub-section is determined, and the power stations under this sub-section are marked and will no longer participate in the next round of new energy active power distribution.

[0018] If the summation result P′ si is greater than the corresponding sub-section limit P simax , that is, a fallback mechanism is adopted to redistribute the active power of the new energy power station starting from the out-of-limit sub-section, and so on until all sub-sections meet the constraint conditions, including: the total target of power distribution is:

[0019] maxP′ S1 = f{P Si , P Simax , P li , Q li , β i}

[0020] P Si represents the current active power value before regulation of section i;

[0021] P Simax represents the active power limit of section i;

[0022] P li represents the current output of the power station under section i;

[0023] Q li represents the distribution coefficient of the power station under section i;

[0024] β i represents the depth coefficient of section i;

[0025] f is the power distribution algorithm.

[0026] If the summation result P′ si is greater than the corresponding sub-section limit P simax , that is, a fallback mechanism is adopted to redistribute the active power of the new energy power station starting from the out-of-limit sub-section, and so on until all sub-sections meet the constraint conditions, including: the balance constraint condition is:

[0027] P′ Si = P Si +ΔP Si

[0028]

[0029] The inequality constraint condition is:

[0030] P′ Si ≤P Simax

[0031] i represents the section number; w represents all subsections contained in section i;

[0032] ΔP Si , ΔP S1 is the adjustment amount of the current power after calculation;

[0033] Ω q and Ω i They are respectively cross-section sets.

[0034] If the sum result P′ si Greater than the corresponding sub-section limit P simax , that is, adopting the fallback mechanism, starting from the sub-section that exceeds the limit, the active power of the new energy station is redistributed, and so on, until all sub-sections meet the constraints, including: according to the depth-first search principle, the active power of each section is judged in turn plus the active power adjustment amount ΔP si The active value P′ Si Whether it exceeds the limit, if the constraint condition is met, the allocation is terminated; otherwise, all cross-sections that exceed the limit are searched out, and the cross-section containing the minimum depth coefficient is extracted, and the cross-section depth and allocation factor D1 of the cross-section are adjusted.

[0035] If the sum result P′ si Greater than the corresponding sub-section limit P simax That is, a fallback mechanism is adopted to redistribute the active power of renewable energy stations starting from the sub-section that exceeds the limit, and so on, until all sub-sections meet the constraints, including: accumulating the regulation amount of stations with insufficient power generation, and then transferring this part of the regulation amount to stations with sufficient power generation capacity.

[0036] The second aspect of the present invention relates to a section control system based on centralized and distributed renewable energy, the system is implemented by using the section control method based on centralized and distributed renewable energy described in the first aspect of the present invention; the allocation module is used to calculate the power limit value P of the outermost section plc +L sec With real-time power P sec +Buy sec +Q sec Deviation, and will overlap the transaction part Buy n The adjusted power Pdes m Pre-allocated to all relevant new energy stations; the verification module is used to use a depth-first search algorithm to verify all sections from outside to inside after each adjustment of power pre-allocation to determine whether all sections i meet the constraint condition P′ si ≤P simax; The control module is used to search and judge to end when all sections i satisfy the constraint condition P' si ≤P simax and then send control instructions to each new energy power station;

[0037] P' si is the active power value of section i, and P simax is the active power limit of section i. In the third aspect of the present invention, a terminal is involved, including a processor and a storage medium; the storage medium is used to store instructions; the processor is used to operate according to the instructions to execute the steps of the method described in the first aspect of the present invention.

[0038] In the fourth aspect of the present invention, a computer-readable storage medium is involved, on which a computer program is stored, and when the program is executed by a processor, the steps of the method described in the first aspect of the present invention are realized.

[0039] The beneficial effects of the present invention are that, compared with the prior art, a section control method and system based on centralized and distributed new energy in the present invention, on the premise of ensuring section safety, through the load rate balance strategy, makes the target load rates of the same-level sections the same, and maximizes the use of section absorption capacity.

[0040] The beneficial effects of the present invention also include:

[0041] 1. The present invention adopts a recursive algorithm to transform complex multi-level optimization problems into multiple smaller-scale sub-problems, significantly reducing the computational complexity and improving the solution efficiency. By introducing a priority and backtracking mechanism, the out-of-limit sections are preferentially adjusted, and the blocked power is transferred to other power stations to ensure section safety while optimizing the power distribution of the entire network.

[0042] 2. The present invention aims to maximize the section power value. Through recursive allocation and load rate balance strategy, it makes full use of the section absorption margin and improves the new energy absorption capacity. Through the recursive algorithm and depth-first search, it can effectively handle the complex power grid structure with multi-layer nested sections, and has a wider applicability.

[0043] 3. This method has significant advantages in aspects such as global optimization, dynamic regulation, load rate balance, calculation efficiency, safety verification, and new energy absorption capacity, and can better meet the operation requirements of modern power systems with a high proportion of new energy and a complex section structure. Description of the Drawings

[0044] Figure 1 is a schematic diagram of a section control method based on centralized and distributed new energy of the present invention;

[0045] Figure 2 is a schematic diagram of a new energy section control strategy in a section control method based on centralized and distributed new energy of the present invention. Detailed implementation manners

[0046] To make the objectives, technical solutions and advantages of the present invention clearer and more accurate, the technical solutions of the present invention will be described in detail below through multiple specific implementation manners. The embodiments adopted by the present invention are only used to explain the present invention and do not limit the content of the present invention.

[0047] Figure 1 It is a schematic diagram of a section control method based on centralized and distributed new energy of the present invention. As Figure 1 shown, in the first aspect of the present invention, it relates to a section control method based on centralized and distributed new energy, and the method includes Step 1 to Step 3.

[0048] Step 1, calculate the power limit P plc +L sec of the outermost section and the deviation from the real-time power P sec +Buy sec +Q sec , and pre-allocate the adjusted power Pdes n after superimposing the trading part Buy n to all relevant new energy power stations.

[0049] Before allocating the section adjustment power, first sum up the active power of all controllable new energy power stations belonging to this section, and use the sum of the total power after summation and the limit of the section as the total adjustment power P plc +L sec , and then allocate it to each new energy power station. When allocating, use the virtual capacity of the power station (virtual capacity = installed capacity * coefficient * reward and punishment factor) as the coefficient for allocation. When all sections are not over-limit, the target load rates are the same among sections at the same level.

[0050] The specific allocation formula is as follows:

[0051]

[0052] Among them, power station n is a power station under a certain section, Pdes n represents the AGC target value of power station n, P plc represents the total active power of controllable new energy power stations under the section, L sec represents the limit of the section, P sec represents the real-time active power of the section, Buy sec represents the total trading power of power stations under this section, Q sec represents the power stations that cannot participate in the allocation under this section, that is, the sum of the target values of power stations whose target values have been determined to be the control upper limit or the trading power / control lower limit). Cap n represents the virtual capacity of power station n, Buy nIt is the spot trading electricity for substation n. Where Cap n is equal to the maximum capacity of substation n * the green electricity trading control coefficient.

[0053] First, calculate the total target output of all new energy substations under the top-level section based on the active power and limit of the outermost new energy section. Then, distribute the total target output to each new energy substation with the virtual capacity of each substation as the coefficient. At this time, the traded part of the electricity needs to be superimposed into the regulation amount.

[0054] After the distribution, perform a safety check on the regulation amount of the sub-section one level below this section, and calculate how much regulation amount the pre-allocated target instruction of the substation under the sub-section will generate for the active power of the sub-section.

[0055] Step 2, after each adjustment power pre-distribution is completed, use the depth-first search algorithm to check all sections from the outside to the inside, and judge whether all sections i satisfy the constraint condition P′ si ≤P simax .

[0056] When calculating the regulation amount of the active power of the sub-section, if the summation result P Si +ΔP Si is greater than the corresponding sub-section limit value, that is, adopt the fallback mechanism, start re-distributing the active power of the new energy substation from the over-limited sub-section, and then traverse the inner-layer wind power section further according to the same principle. Once the target output of the substation under the innermost sub-section, such as the wind farm, is determined, mark the substation under this sub-section and no longer perform the next round of new energy active power distribution.

[0057] Then start the active power distribution from the top-level section again, but the target values of the new energy substations that have been marked need to be excluded from the total target output of the top-level section, and gradually determine the output of the new energy substations under each layer of sections from the inside to the outside. Finally, the space of the top-level section is fully utilized, and at the same time, the active power of each section inside is within the limit value and the load rate operates in balance.

[0058] If section i does not satisfy the constraint condition P′ si ≤P simax , then set its target power to P simax and set the determined flag, re-pre-distribute the regulation power for its relevant new energy substations, and judge whether its sub-section satisfies the constraint condition, and so on, until all sub-sections satisfy the constraint condition.

[0059] Return the remaining undistributed regulation power of section i to the outermost section, re-pre-distribute the regulation power for the relevant new energy substations of other undetermined sections, and use the same method to check other sections.

[0060] The load is pre - distributed based on the new - energy limit of the entire network. The sum of the target instructions pre - distributed to the new - energy power stations under the next - layer sub - section is compared with the limit of each sub - section. If the sum result is greater than the corresponding sub - section limit, a fallback mechanism is adopted to re - distribute according to the limit of the corresponding sub - section. Then, the inner - layer section is traversed further according to the same principle. Once the target output of the new - energy power stations under the innermost sub - section is determined, the target output of the new - energy power stations under the upper - layer parent section is extrapolated, and the output of the new - energy power stations under the outer - layer section is determined step by step from the inside out, realizing a traversal search algorithm from top to bottom and from outside to inside, while the satisfaction of the limit requirements is extrapolated layer by layer from the inside out.

[0061] In the process of output distribution, the mathematical - model equation of the following algorithm is satisfied. The overall goal of power distribution is to maximize the total - section s1 power value P′ of the new energy in the entire network S1 That is:

[0062] maxP′ S1 =f{P Si ,P Simax ,P li ,Q li ,β i}

[0063] The balance - constraint condition is:

[0064] P′ Si =P Si +ΔP Si

[0065]

[0066] The inequality - constraint condition is:

[0067] P′ Si ≤P Simax

[0068] i represents the section label; q represents all sub - sections included in section i; βγ i represents the depth coefficient of section i; P Si represents the current active power value of section i; P Simax represents the active - power limit of section i; P li represents the current output of the power stations under section i; Q li represents the distribution coefficient of the power stations under section i; f is the power - distribution algorithm;

[0069] ΔP Si 、ΔP S1 are the adjustment amounts of the current power after operation;

[0070] Ω q and Ω i are section sets respectively.

[0071] To make the sectional power value reach the maximum operating state, we set the main sectional power value P Si to the maximum state P Simax , and the difference ΔP Simax between the maximum value P Si and the current value P Si is allocated to each sub-section, so that the sum of the power increase values of each final section is the power increase of the main section.

[0072] The reallocation method is as follows:

[0073] ΔP S1 = P S1max - P S1

[0074]

[0075] The magnitude of ΔP Si is determined by the station regulation amount ΔP li under each sub-section of section i.

[0076] When allocating the ΔP S1 of the main section to each sub-section, ΔP S1 is merged into the station output P li under all sections included in the current section S1 and then allocated according to the distribution coefficient, that is

[0077]

[0078] P lt1 is the total allocation amount, and P lf1 is the new output allocation amount of the station under section i.

[0079] Then the active power increase amount of each section after the previous allocation is:

[0080] ΔP li = P lfi - P li

[0081]

[0082] According to the depth-first search principle, it is judged in turn whether the active power value P' si after adding the active power regulation amount ΔP Si of each layer of section exceeds the limit. If the constraint conditions are met, the allocation ends and step 3 is executed for power generation capacity transfer. ΔP si is the final active power regulation value of each section.

[0083] Otherwise, search out all the over-limit sections, obtain the depth coefficients of all the over-limit sections, compare to find the section with the minimum depth coefficient, move the distribution factor D1 to section j, regard section j as the main section, and re-distribute. If j is the last-level section (not including sub-sections) or there is no over-limit section after the aforementioned distribution process, then D1 becomes an unactivated factor fixed at section j and is used for power distribution of section j and its sub-sections and power output regulation of the power station.

[0084] After completing this distribution, when entering the next round of distribution, no power distribution is performed on the sections containing unactivated factors and their sub-sections, and the power output of the power station under the section containing Dk is subtracted. Dk is all the unactivated factors added during the previous round of distribution.

[0085] Accumulate the adjustment amounts of the power stations with insufficient power generation, and then transfer and distribute this part of the adjustment amount to the power stations with sufficient power generation capabilities, that is

[0086]

[0087] Ω′ i is the set of all sections with insufficient power generation in Ω; Ω′ i is the set of sections with sufficient power generation capabilities in Ω q is Ω q in the set of sections with sufficient power generation capabilities.

[0088] The multi-layer nested section control adopts the load rate balance strategy. On the basis of ensuring section safety, it maximally utilizes the section absorption margin. The flow chart of the section adjustment power distribution algorithm is as shown in the figure. The optimization search processes of sections at each level are similar. Therefore, a recursive algorithm is used to gradually transform the complex multi-level optimization problem into a smaller-scale problem similar to the original problem for solution.

[0089] Step 3, when all sections satisfy the constraint condition P′ si ≤P simax , the search and judgment end, and control instructions are sent to each new energy power station.

[0090] The control instructions are sent to the AGC, and data interaction is carried out with the coordination controller through communication to transmit the actual power and operating status of the energy storage unit and implement the coordinated control of the new energy power stations.

[0091] To sum up, through the load rate balance strategy, the present invention makes the target load rates of the same-level sections the same, and maximally utilizes the section absorption capacity. By using the recursive algorithm, the complex multi-level optimization problem is transformed into multiple smaller-scale sub-problems, reducing the computational complexity and improving the solution efficiency. The introduction of the priority and fallback mechanism gives priority to adjusting the over-limit sections and transfers the blocked power to other power stations, ensuring section safety while optimizing the power distribution of the entire network.

[0092] In a second aspect of the present invention, there is provided a section control system based on centralized and distributed new energy. The system is implemented by using the method described in the first aspect of the present invention. The allocation module is configured to calculate the power limit value P plc +L sec of the outermost section and the deviation from the real-time power P sec +Buy sec +Q sec . The adjusted power Pdes n after superimposing the trading part Buy n is pre-allocated to all relevant new energy power stations. The verification module is configured to, after each pre-allocation of the adjusted power, use the depth-first search algorithm to verify all sections from the outside to the inside to determine whether all sections i satisfy the constraint condition P′ si ≤P simax . The control module is configured to, when all sections i satisfy the constraint condition P′ si ≤P simax , end the search and judgment, and send control instructions to each new energy power station. P′ si is the active power value of section i, and P simax is the active power limit of section i.

[0093] In a third aspect of the present invention, there is provided a terminal, including a processor and a storage medium. The storage medium is used to store instructions. The processor is configured to operate according to the instructions to execute the steps of the method described in the first aspect of the present invention.

[0094] In a fourth aspect of the present invention, there is provided a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the steps of the method described in the first aspect of the present invention.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that there are still contents in the technical solutions of the present invention that can be modified or equivalently replaced. Any modification or equivalent replacement without departing from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. A section control method based on centralized and distributed new energy, characterized in that: The method comprises the following steps: Calculate the power limit P of the outermost section plc +L swc With real-time power P sec +Buy sec +Q sec Deviation, and will overlap the transaction part Buy n The adjusted power Pdes n Pre-allocated to all relevant new energy sites; After each adjustment of power pre-allocation, the depth-first search algorithm is used to check all sections from the outside to the inside to determine whether all sections i meet the constraint condition P′ si ≤P simax ; When all sections i satisfy the constraint condition P′ si ≤P simax When the search is completed, the control command is sent to each new energy station; P′ si is the active power value of section i, P simax is the active power limit of section i.

2. According to claim 1, a section control method based on centralized and distributed new energy is characterized in that: The power limit P of the outermost section is calculated as follows: plc +L sec With real-time power P sec +Buy sec +Q sec Deviation, and will overlap the transaction part Buy n The adjusted power Pdes n Pre-allocated to all relevant new energy sites, including: The power pre-allocation method includes allocating an AGC target value of station n, and the AGC target value of station n is: Where P plc is the total active power of the controllable new energy stations under the section, L sec is the limit value of the section, P sec is the real-time active power of the section, Buy sec The total amount of electricity traded by the stations under the section, Q sec is the sum of the target values ​​of the stations that cannot participate in the allocation under the section, Cap n is the virtual capacity of station n, Buy n It is the spot trading electricity of station n.

3. According to claim 2, a section control method based on centralized and distributed new energy is characterized in that: After each adjustment of power pre-allocation, the depth-first search algorithm is used to check all sections from the outside to the inside to determine whether all sections i meet the constraint condition P′ si ≤P simax ,include: For the current section, calculate the active power regulation ΔP of all sub-sections under the current section Si The sum of the active power of the original section P Si ; If the sum result P′ si Greater than the corresponding sub-section limit P simax , that is, adopting a fallback mechanism, redistributing the active power of the new energy station starting from the sub-section that exceeds the limit, and so on, until all sub-sections meet the constraint conditions; If the sum result P′ si Not greater than the corresponding sub-section limit P simax , that is, determine the target output of the station in the sub-section, mark the station under the sub-section, and no longer participate in the next round of new energy active power distribution.

4. A section control method based on centralized and distributed new energy according to claim 3, characterized in that: If the summation result P′ si Greater than the corresponding sub-section limit P simax , that is, adopting a fallback mechanism, redistributing the active power of the new energy station from the sub-section that exceeds the limit, and so on, until all sub-sections meet the constraints, including: The overall goal of power allocation is: maxP′ S1 =f{P Si ,P Simax ,P li ,Q li ,β i } P Si Indicates the current active value of section i before adjustment; P Simax Represents the active power limit value of section i; P li Indicates the current output of the station under section i; Q li represents the station allocation coefficient under section i; β i represents the depth coefficient of section i; f is the power allocation algorithm.

5. A section control method based on centralized and distributed new energy according to claim 4, characterized in that: If the summation result P′ si Greater than the corresponding sub-section limit P simax , that is, adopting a fallback mechanism, redistributing the active power of the new energy station from the sub-section that exceeds the limit, and so on, until all sub-sections meet the constraints, including: The equilibrium constraints are: P′ Si =P Si +ΔP Si The inequality constraints are: P′ Si ≤P Simax i represents the section number; P represents all subsections contained in section i; ΔP Si , ΔP S1 is the adjustment amount of the current power after calculation; Ω q and Ω i They are respectively cross-section sets.

6. A section control method based on centralized and distributed new energy according to claim 5, characterized in that: If the summation result P′ si Greater than the corresponding sub-section limit P simax , that is, adopting a fallback mechanism, redistributing the active power of the new energy station from the sub-section that exceeds the limit, and so on, until all sub-sections meet the constraints, including: According to the depth-first search principle, the active power of each section plus the active power adjustment ΔP is determined in turn. si The active value P′ Si Whether it exceeds the limit, if the constraint is met, the allocation is terminated; Otherwise, all cross-sections that exceed the limit are searched out, and the cross-section containing the minimum depth coefficient is extracted, and the cross-section depth and allocation factor D1 of the cross-section are adjusted.

7. A section control method based on centralized and distributed new energy according to claim 6, characterized in that: If the summation result P′ si Greater than the corresponding sub-section limit P simax , that is, adopting a fallback mechanism, redistributing the active power of the new energy station from the sub-section that exceeds the limit, and so on, until all sub-sections meet the constraints, including: The regulation quantities of stations with insufficient power generation are accumulated, and then transferred and allocated to stations with sufficient power generation capacity.

8. A cross-section control system based on centralized and distributed new energy, characterized in that: The system is implemented by using a section control method based on centralized and distributed new energy as described in any one of claims 1 to 7; The allocation module is used to calculate the power limit P of the outermost section. plc +L sec With real-time power P sec +Buy sec +Q sec Deviation, and will overlap the transaction part Buy n The adjusted power Pdes n Pre-allocated to all relevant new energy sites; The verification module is used to verify all sections from outside to inside using a depth-first search algorithm after each adjustment of power pre-allocation to determine whether all sections i meet the constraint condition P′ si ≤P simax ; The control module is used to control the condition P′ when all sections i satisfy the constraint condition P′. si ≤P simax When the search is completed, the control command is sent to each new energy station; P′ si is the active power value of section i, P simax is the active power limit of section i.

9. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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