CN116742700B - New energy collection node optimization method, system, equipment and medium - Google Patents
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
Abstract
The invention discloses a new energy collection node optimization method, a system, equipment and a medium, which comprise the following steps: calculating the steady state power flow of the power system, acquiring the operation and control parameters of the new energy grid-connected system and the impedance matrix of the alternating current network, and establishing a dynamic model of the new energy grid-connected system. Calculating the grid-connected quantity of new energy sources, and distributing the new energy sources to different collecting nodes; dividing the new energy collection area, and calculating the collection nodes into which the new energy should be integrated. The invention has the advantages that: the dynamic stability of new energy grid connection is improved, the evaluation efficiency is high, and the labor cost is saved.
Description
Technical Field
The invention relates to the technical field of power system dispatching, in particular to a new energy collection node optimization method, a system, equipment and a medium for improving the stability of a power system.
Background
In recent years, renewable clean energy sources mainly based on new energy sources are under high-speed development. The new energy power generation technology is mature day by day, so that new energy is connected into the power system in a larger scale and capacity. An improper access manner may severely limit the efficiency of new energy power delivery. In many researches at present, aiming at the new energy power transmission network planning problem, more, from the static angle, the economic benefit and the safety constraint of the new energy planning are considered. Other studies have considered economic benefits as well as safety constraints. And a multi-objective plan which takes economical efficiency and safety into consideration is provided, and on the basis of considering a new energy output error interval, the social and economic benefits of new energy are optimized, and meanwhile, the system has the negative peak regulation capacity of the low valley of the power system.
However, in the prior art, a new energy collection node is not reasonably selected from the perspective of dynamic stability of a new energy grid-connected system. For a new energy grid-connected system with multiple collection nodes, how to divide areas and distribute the number of the new energy is an important measure for improving the dynamic stability of the new energy grid-connected system.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a new energy collection node optimization method.
In order to achieve the above object, the present invention adopts the following technical scheme:
a new energy collection node optimization method comprises the following steps:
s1: calculating the steady state power flow of the power system, acquiring the operation and control parameters of the new energy grid-connected system and the impedance matrix of the alternating current network, and establishing a dynamic model of N new energy grid-connected systems.
The operation and control parameters include: the kth new energy: c (C) k Is a capacitor at the direct current side,is the new energy direct current voltage, P mk 、P k For the inflow and outflow power on the DC capacitor, X k Filtering reactance for new energy AC measurement> For the current on d-axis and q-axis of the new energy AC side, < >>For the voltage of the coupling node of the new energy source and the AC system, < +.>The voltage of the output port is measured for new energy alternating current.
S2: calculating the new energy grid-connected quantity corresponding to multiple collection nodes of the new energy grid-connected system, and distributing the new energy to different collection nodes; when the power transmission line corresponding to the collection node is longer, the number of the new energy accessed into the power transmission line is reduced; when the transmission lines among the plurality of collecting nodes are very short, the transmission distance and the new energy network topology structure should be considered at the same time;
s3: dividing a new energy collection area, calculating collection nodes into which new energy is to be combined, and if the sum of the reactance of the new energy to a previous collection node a and the reactance of the previous collection node a to a grid-connected node is smaller than the sum of the reactance of the new energy to a next collection node c and the reactance of the next collection node c to the grid-connected node, collecting the new energy into the previous collection node a, otherwise, collecting the new energy into the next collection node c.
Further, in S1, a dynamic model of N new energy grid-connected systems is built, specifically as follows:
for the kth new energy, the state space model is as follows:
wherein X is k Is the state variable of the kth new energy, A k 、B k 、C k Is the state matrix, input matrix and output matrix, deltaV of the kth new energy k ＝[ΔV xk ΔV yk ] T ，ΔI k ＝[ΔI xk ΔI yk ] T The voltage vector and the output current vector of the new energy grid-connected node are respectively, and are also the input variable and the output variable of the state space model, namely DeltaV xk And DeltaV yk The x-axis component and the y-axis component of the k new energy grid-connected alternating voltage are respectively, and delta I is xk And DeltaI yk Respectively are provided withIs the x-axis component and the y-axis component of alternating current output by the kth new energy source.
The impedance matrix of the alternating current network is Z p Will Z p The impedance matrix is brought into the (1) to obtain a dynamic model A of the new energy grid-connected system p The method comprises the following steps:
A p ＝diag[A k ]+diag[B k ]Zpdiag[C k ] (2)
wherein diag [ ] represents that the matrix is arranged diagonalized.
Further, in S2, the new energy grid-connected quantity corresponding to the multiple collection nodes of the new energy grid-connected system is calculated as follows:
wherein K is a 、K c And the new energy quantity is respectively accessed to the aggregation nodes a and c. X is x aL Is the reactance between the previous collection node a and the grid-connected node, x cL Is the reactance between the latter collection node c and the grid-connected node.
Further, in S3, the following formula is calculated for the sink node into which the new energy should be incorporated:
x pA +x aL ＜x pC +x cL (4)
wherein x is pA Reactance, x of new energy source to previous collection node a pC The reactance of the new energy source to the latter sink node c. And if the sum of the reactance from the new energy source to the previous collection node a and the reactance from the previous collection node a to the grid-connected node is smaller than the sum of the reactance from the new energy source to the next collection node c and the reactance from the next collection node c to the grid-connected node, collecting the new energy source into the previous collection node a, otherwise, collecting the new energy source into the next collection node c.
The invention also discloses a new energy collection node optimization system which can be used for implementing the new energy collection node optimization method, and specifically comprises the following steps: the system comprises an information acquisition module, a new energy grid-connected number calculation module and a new energy collection area division module;
an information acquisition module: calculating the steady state power flow of the power system, acquiring the operation and control parameters of the new energy grid-connected system and the impedance matrix of the alternating current network, and establishing a dynamic model of N new energy grid-connected systems.
New energy grid-connected number calculation module: calculating the new energy grid-connected quantity corresponding to multiple collection nodes of the new energy grid-connected system, and distributing the new energy to different collection nodes; when the power transmission line corresponding to the collection node is longer, the number of the new energy accessed into the power transmission line is reduced; when the transmission lines among the plurality of collecting nodes are very short, the transmission distance and the new energy network topology structure should be considered at the same time;
new energy collection region dividing module: dividing the new energy collection area, calculating collection nodes into which new energy should be combined, if the conditions are met, collecting the new energy into the previous collection nodes, and if the conditions are not met, collecting the new energy into the next collection nodes.
The invention also discloses a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the new energy collection node optimization method when executing the program.
The invention also discloses a computer readable storage medium, on which a computer program is stored, which when being executed by a processor implements the above-mentioned new energy collection node optimization method.
Compared with the prior art, the invention has the advantages that:
according to the method, the stability index of the new energy grid connection is considered, and the stability evaluation can be automatically carried out on different new energy planning schemes, so that the stability problem cannot be induced in the planning schemes, and the dynamic stability of the new energy grid connection is improved.
According to the scheme, the rapidity of stability evaluation is realized, the solution of a new energy full-order dynamic equation is not required to be calculated, the complexity of stability evaluation is reduced based on the equivalent parameters of the Internet, the evaluation efficiency is high, and the labor cost is saved.
Drawings
FIG. 1 is a schematic diagram of a grid-connected system of N new energy sources according to an embodiment of the invention;
fig. 2 is a schematic structural diagram of a new energy grid-connected system with multiple collection nodes according to an embodiment of the invention.
Detailed Description
The invention will be described in further detail below with reference to the accompanying drawings and by way of examples in order to make the objects, technical solutions and advantages of the invention more apparent.
The invention provides a new energy collection node optimization method, which comprises the following steps:
step 1: establishing N new energy grid-connected system dynamic models
In fig. 1, VSC (collectively Voltage Source Converter) is a voltage source converter for ac/dc power conversion, and is a new energy source for the kth station: c (C) k Is a capacitor at the direct current side,is the new energy direct current voltage, P mk 、P k For the inflow and outflow power on the DC capacitor, X k Filtering reactance for new energy AC measurement>For the current on d-axis and q-axis of the new energy AC side, < >>For the voltage of the coupling node of the new energy source and the AC system, < +.>The voltage of the output port is measured for new energy alternating current.
For the kth new energy, the state space model can be written as follows:
wherein X is k Is the state variable of the kth new energy, A k 、B k 、C k The state matrix of the kth new energy is input into the matrixAnd output matrix, deltaV k ＝[ΔV xk ΔV yk ] T ，ΔI k ＝[ΔI xk ΔI yk ] T The voltage vector and the output current vector of the new energy grid-connected node are respectively, and are also the input variable and the output variable of the state space model, namely DeltaV xk And DeltaV yk The x-axis component and the y-axis component of the k new energy grid-connected alternating voltage are respectively, and delta I is xk And DeltaI yk The x-axis component and the y-axis component of the alternating current are output by the kth new energy source respectively.
In FIG. 1, the AC network impedance matrix is Z p The impedance matrix is brought into a dynamic model A of the new energy grid-connected system obtained by the (1) p The method comprises the following steps:
A p ＝diag[A k ]+diag[B k ]Z p diag[C k ] (2)
wherein diag [ ] represents that the matrix is arranged diagonalized.
Step two: selection of multiple collection nodes of new energy grid-connected system
When all new energy is aggregated to multiple nodes (e.g., aggregation nodes a and C in fig. 2), and the aggregation nodes a and C access the new energy by the number K a 、K c Then the new energy quantity of different collection nodes should be distributed according to the formula (3):
as can be seen from the formula (3), the longer the power transmission line corresponding to the aggregation node is, the smaller the number of new energy sources to be connected to the power transmission line is. When the transmission lines of the collection nodes A and C are short, the transmission distance and the new energy network topology structure should be considered at the same time, and the new energy collection area is divided.
Step three: belonging area division of multiple aggregation nodes of new energy grid-connected system
Assuming that the dotted line in fig. 2 is the boundary of the aggregation areas corresponding to the aggregation nodes a and C, first, new energy is allocated to different aggregation nodes according to formula (3); and secondly, the distance between the new energy source and different collecting nodes needs to be calculated, for example,the reactance from the new energy source to the collection node A is x pA Reactance to sink node C is x pC The method comprises the steps of carrying out a first treatment on the surface of the Finally, the new energy satisfying the formula (4) is collected into the collection point a, and the new energy not satisfying the formula (4) is collected into the collection point C.
x pA +x aL ＜x pC +x aL (4)
In order to verify the beneficial effects of the invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.
In order to analyze the new energy multi-collection node network planning method considering dynamic stability, in fig. 2, collection nodes a and C are connected with 20 new energy sources in total. Wherein x is aL ＝0.15，x cL =0.1, all are long-distance transmission, and the new energy adopts the parallel access mode.
When the collection node A, C is accessed with new energy sources, the number of rho of the collection node A, C is calculated respectively as shown in the table 1 max And respective dominant oscillation modes lambda pA 、λ pC 。
Table 1 aggregation node access to different numbers of new energy sources
As can be seen from table 1, as the number of new energy sources to be accessed increases, the oscillation mode of the aggregation node a becomes worse and reaches an unstable region; the new energy quantity of the collection node C is reduced, the oscillation mode is gradually improved, and the stability is enhanced. When the number of new energy sources of the collection nodes A, C is 8 and 12, the stability of the new energy sources is the best, and at this time, the number of new energy sources accessed by the two collection nodes satisfies the formula (5), and the expression is as follows:
therefore, the unreasonable access of the new energy sources can cause the destabilization of the new energy sources, and the longer the transmission line is, the more the collection nodes are accessed into the new energy sources, the more the new energy sources are easy to destabilize. Therefore, when the new energy transmission line is longer, the number of the accessed new energy is correspondingly reduced.
In still another embodiment of the present invention, a new energy collection node preference system is provided, which can be used to implement the new energy collection node preference method described above, specifically including: the system comprises an information acquisition module, a new energy grid-connected number calculation module and a new energy collection area division module;
an information acquisition module: calculating the steady state power flow of the power system, acquiring the operation and control parameters of the new energy grid-connected system and the impedance matrix of the alternating current network, and establishing a dynamic model of N new energy grid-connected systems.
New energy grid-connected number calculation module: calculating the new energy grid-connected quantity corresponding to multiple collection nodes of the new energy grid-connected system, and distributing the new energy to different collection nodes; when the power transmission line corresponding to the collection node is longer, the number of the new energy accessed into the power transmission line is reduced; when the transmission lines among the plurality of collecting nodes are very short, the transmission distance and the new energy network topology structure should be considered at the same time;
new energy collection region dividing module: dividing the new energy collection area, calculating collection nodes into which new energy should be combined, if the conditions are met, collecting the new energy into the previous collection nodes, and if the conditions are not met, collecting the new energy into the next collection nodes.
In yet another embodiment of the present invention, a terminal device is provided, the terminal device including a processor and a memory, the memory for storing a computer program, the computer program including program instructions, the processor for executing the program instructions stored by the computer storage medium. The processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf Programmable gate arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc., which are the computational core and control core of the terminal adapted to implement one or more instructions, in particular adapted to load and execute one or more instructions to implement a corresponding method flow or a corresponding function; the processor in the embodiment of the invention can be used for the operation of a new energy collection node optimization method, and comprises the following steps:
s1: calculating the steady state power flow of the power system, acquiring the operation and control parameters of the new energy grid-connected system and the impedance matrix of the alternating current network, and establishing a dynamic model of N new energy grid-connected systems.
S2: calculating the new energy grid-connected quantity corresponding to multiple collection nodes of the new energy grid-connected system, and distributing the new energy to different collection nodes; when the power transmission line corresponding to the collection node is longer, the number of the new energy accessed into the power transmission line is reduced; when the transmission lines among the plurality of collecting nodes are very short, the transmission distance and the new energy network topology structure should be considered at the same time;
s3: dividing the new energy collection area, calculating collection nodes into which new energy should be combined, if the conditions are met, collecting the new energy into the previous collection nodes, and if the conditions are not met, collecting the new energy into the next collection nodes.
In a further embodiment of the present invention, the present invention also provides a storage medium, in particular, a computer readable storage medium (Memory), which is a Memory device in a terminal device, for storing programs and data. It will be appreciated that the computer readable storage medium herein may include both a built-in storage medium in the terminal device and an extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also stored in the memory space are one or more instructions, which may be one or more computer programs (including program code), adapted to be loaded and executed by the processor. The computer readable storage medium herein may be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one magnetic disk memory.
One or more instructions stored in a computer-readable storage medium may be loaded and executed by a processor to implement the corresponding steps of the preferred method for a new energy collection node in the above embodiments; one or more instructions in a computer-readable storage medium are loaded by a processor and perform the steps of:
s1: calculating the steady state power flow of the power system, acquiring the operation and control parameters of the new energy grid-connected system and the impedance matrix of the alternating current network, and establishing a dynamic model of N new energy grid-connected systems.
S2: calculating the new energy grid-connected quantity corresponding to multiple collection nodes of the new energy grid-connected system, and distributing the new energy to different collection nodes; when the power transmission line corresponding to the collection node is longer, the number of the new energy accessed into the power transmission line is reduced; when the transmission lines among the plurality of collecting nodes are very short, the transmission distance and the new energy network topology structure should be considered at the same time;
s3: dividing the new energy collection area, calculating collection nodes into which new energy should be combined, if the conditions are met, collecting the new energy into the previous collection nodes, and if the conditions are not met, collecting the new energy into the next collection nodes.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Those of ordinary skill in the art will appreciate that the embodiments described herein are intended to aid the reader in understanding the practice of the invention and that the scope of the invention is not limited to such specific statements and embodiments. Those of ordinary skill in the art can make various other specific modifications and combinations from the teachings of the present disclosure without departing from the spirit thereof, and such modifications and combinations remain within the scope of the present disclosure.
Claims (4)
1. The new energy collection node optimization method is characterized by comprising the following steps of:
s1: calculating the steady state power flow of the power system, acquiring the operation and control parameters of the new energy grid-connected system and an alternating current network impedance matrix, and establishing a dynamic model of N new energy grid-connected systems, wherein the dynamic model is specifically as follows:
for the kth new energy, the state space model is as follows:
wherein X is k Is the state variable of the kth new energy, A k 、B k 、C k Is the state matrix, input matrix and output matrix, deltaV of the kth new energy k ＝[ΔV xk ΔV yk ] r ，ΔI k ＝[ΔI xk ΔI yk ] T The voltage vector and the output current vector of the new energy grid-connected node are respectively, and are also the input variable and the output variable of the state space model, namely DeltaV xk And DeltaV yk The x-axis component and the y-axis component of the k new energy grid-connected alternating voltage are respectively, and delta I is xk And DeltaI yk The x-axis component and the y-axis component of alternating current are output by the kth new energy source respectively;
the impedance matrix of the alternating current network is Z p Will Z p The impedance matrix is brought into the (1) to obtain a dynamic model A of the new energy grid-connected system p The method comprises the following steps:
A p ＝diag[A k ]+diag[B k ]Z p diag[C k ] (2)
wherein diag [ ] represents that the matrix is diagonalized;
the operation and control parameters include: the kth new energy: c (C) k Is a capacitor at the direct current side,is the new energy direct current voltage, P mk 、P k For the inflow and outflow power on the DC capacitor, X k Filtering reactance for new energy AC measurement> For the current on d-axis and q-axis of the new energy AC side, < >>For the voltage of the coupling node of the new energy source and the AC system, < +.>Measuring output port voltage for new energy alternating current;
s2: calculating the new energy grid-connected quantity corresponding to multiple collection nodes of the new energy grid-connected system, and distributing the new energy to different collection nodes; when the power transmission line corresponding to the collection node is longer, the number of the new energy accessed into the power transmission line is reduced; when the transmission lines among the plurality of collecting nodes are very short, the transmission distance and the new energy network topology structure should be considered at the same time;
the new energy grid-connected quantity corresponding to the multiple collection nodes of the new energy grid-connected system is calculated as follows:
wherein K is a 、K c The new energy quantity is respectively accessed to the collection nodes a and c; x is x aL Is the reactance between the previous collection node a and the grid-connected node, x cL The reactance from the latter collection node c to the grid-connected node;
s3: dividing a new energy collection area, calculating collection nodes into which new energy is supposed to be combined, and if the sum of the reactance of the new energy to a previous collection node a and the reactance of the previous collection node a to a grid-connected node is smaller than the sum of the reactance of the new energy to a next collection node c and the reactance of the next collection node c to the grid-connected node, collecting the new energy into the previous collection node a, otherwise, collecting the new energy into the next collection node c;
the collection node into which the new energy is calculated to be integrated has the following formula:
x pA +x aL ＜x pC +x cL (4)
wherein x is pA Reactance, x of new energy source to previous collection node a pC Reactance from new energy to the latter collection node c; and if the sum of the reactance from the new energy source to the previous collection node a and the reactance from the previous collection node a to the grid-connected node is smaller than the sum of the reactance from the new energy source to the next collection node c and the reactance from the next collection node c to the grid-connected node, collecting the new energy source into the previous collection node a, otherwise, collecting the new energy source into the next collection node c.
2. A new energy collection node optimization system is characterized in that: the system can be used for implementing the new energy collection node optimization method of claim 1, and specifically comprises the following steps: the system comprises an information acquisition module, a new energy grid-connected number calculation module and a new energy collection area division module;
an information acquisition module: calculating steady state power flow of the power system, acquiring operation and control parameters of the new energy grid-connected system and an alternating current network impedance matrix, and establishing dynamic models of N new energy grid-connected systems;
new energy grid-connected number calculation module: calculating the new energy grid-connected quantity corresponding to multiple collection nodes of the new energy grid-connected system, and distributing the new energy to different collection nodes; when the power transmission line corresponding to the collection node is longer, the number of the new energy accessed into the power transmission line is reduced; when the transmission lines among the plurality of collecting nodes are very short, the transmission distance and the new energy network topology structure should be considered at the same time;
new energy collection region dividing module: dividing the new energy collection area, calculating collection nodes into which new energy should be combined, if the conditions are met, collecting the new energy into the previous collection nodes, and if the conditions are not met, collecting the new energy into the next collection nodes.
3. A computer device, characterized by: comprising a memory, a processor and a computer program stored on the memory and executable on the processor, said processor implementing the new energy collection node preferred method according to claim 1 when said program is executed.
4. A computer-readable storage medium, characterized by: a computer program is stored which, when executed by a processor, implements the new energy collection node preferred method of claim 1.
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