CN114996635A - Power distribution network parameter determination method, device, equipment and storage medium - Google Patents
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Abstract
The invention discloses a method, a device, equipment and a storage medium for determining parameters of a power distribution network. The method comprises the following steps: acquiring a topological structure of the power distribution network; determining the power distribution network parameters according to the topological structure; generating a power distribution network measurement equation set according to the topological structure and the power distribution network parameters, and generating a target function according to the power distribution network measurement equation set; and determining the target attribute value of the power distribution network parameter by taking the minimum function value of the target function as a target. The embodiment of the invention can accurately and efficiently determine the line parameters of the power distribution network, perfect the configuration of the power grid, improve the service quality and efficiency of the power grid and be beneficial to the sustainable development of the power grid.
Description
Technical Field
The invention relates to the technical field of power grids, in particular to a method, a device, equipment and a storage medium for determining parameters of a power distribution network.
Background
With the continuous development of power grids, the density of the power grids is higher and higher, power sources and loads are highly concentrated, the added lines approach the bearing limit of the power grids, and the requirements of the society on the safety, reliability and power supply quality of a power system are gradually improved.
Under the condition that the power grid scale is gradually enlarged, how to efficiently determine the parameters of the power distribution network solves the problem that the parameters of the power distribution network are lack or inaccurate under the multi-working-condition, multi-time-scale and multi-source measurement operation conditions, and the problem needs to be solved at present.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a storage medium for determining parameters of a power distribution network, solves the problem of lack or inaccuracy of the power distribution parameters, can accurately and efficiently determine the parameters of the power distribution network, perfects the configuration of the power distribution network, improves the service quality and efficiency of the power distribution network, and is favorable for the sustainable development of the power distribution network.
In a first aspect, an embodiment of the present invention provides a method for determining parameters of a power distribution network, including:
acquiring a topological structure of the power distribution network;
determining the power distribution network parameters according to the topological structure;
generating a power distribution network measurement equation set according to the topological structure and the power distribution network parameters, and generating a target function according to the power distribution network measurement equation set;
and determining the target attribute value of the power distribution network parameter by taking the minimum function value of the target function as a target.
In a second aspect, an embodiment of the present invention further provides a device for determining parameters of a power distribution network, including:
the topological structure acquisition module is used for acquiring the topological structure of the power distribution network;
the parameter determining module is used for determining the power distribution network parameters according to the topological structure;
the target function generation module is used for generating a power distribution network measurement equation set according to the topological structure and the power distribution network parameters and generating a target function according to the power distribution network measurement equation set;
and the attribute value determining module is used for determining the target attribute value of the power distribution network parameter by taking the minimum function value of the target function as a target.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
a memory for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method for determining parameters of a power distribution network according to any of the first aspects.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the power distribution network parameter determination method according to any one of the first aspect.
In the embodiment of the invention, the target function is generated based on the power grid topological structure and the power distribution network parameters, the target attribute value of the power distribution network parameters is determined according to the target function, the problem that the power distribution network parameters are lacked or inaccurate is solved, the power distribution network parameters can be accurately and efficiently determined, the power grid configuration is perfected, the power grid service quality and the maintenance efficiency are improved, the power distribution network is reasonably planned, the power resources are effectively utilized, the power supply stability and reliability are improved, and the sustainable development of the power grid is promoted.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a method for determining parameters of a power distribution network according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a distribution network parameter determining apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of a method for determining parameters of a power distribution network according to an embodiment of the present invention, where this embodiment is applicable to how to check and determine parameters of the power distribution network, and the method may be executed by a device for determining parameters of the power distribution network according to an embodiment of the present invention, where the device may be implemented in a hardware and/or software manner and integrated in an electronic device, as shown in fig. 1, the method specifically includes:
and S110, acquiring a topological structure of the power distribution network.
The power distribution network can be composed of overhead lines, cables, towers, distribution transformers, isolating switches, reactive power compensators, accessory facilities and the like, and plays a role in distributing electric energy in the power network. The distribution network can be classified according to voltage class or region, such as classifying the distribution network into a high voltage distribution network, a medium voltage distribution network, a low voltage distribution network and the like according to voltage class, or classifying the distribution network into an urban distribution network, a rural distribution network, a factory distribution network and the like according to region. Illustratively, the power distribution network is a 10kV power distribution network. The topological structure can be a connection relation of each electrical element and each electrical element in the power distribution network, the electrical elements can include power plants, loads, substations and the like, each electrical element in the power distribution network can be defined as a node, and a transmission line connected with each electrical element is defined as a branch.
Specifically, the obtaining of the topology structure of the power distribution network may be: the grid structure of the power distribution network can be obtained, topology analysis is carried out on the grid structure of the power distribution network, the whole power distribution network is regarded as a topological graph with nodes combined with branches according to parameters of all electrical components in the power distribution network and connection relations among all the electrical components, and topological connection analysis of the whole network is carried out according to power supply nodes, switch nodes and the like to obtain the topological structure of the power distribution network.
Optionally, the method for determining the power distribution network parameter further includes: acquiring the current working condition of the power distribution network; acquiring state information of the power distribution network, wherein the state information comprises at least one of the following items: multi-source remote signaling and remote measuring of the collected state and the collected value; and updating the topological structure of the power distribution network according to the current working condition and state information.
The working condition refers to working conditions under different operating conditions (system wiring, output configuration, load level, fault and the like). The current working condition may be a working condition of the power distribution network under the current operating condition, such as a power supply working condition or a parallel-to-parallel split operation working condition of the transformer. The remote information can be remote information and is used for collecting and transmitting various protection and switching value information and the like in the power distribution network. Telemetry may be remote measurement, collecting and transmitting operating parameters of the distribution network, such as various electrical quantities (voltage and current power on the line, etc.) and load flow, etc. The collection value may be a value determined when each electrical component in the distribution network leaves a factory.
Specifically, one possible implementation is to update the topology based on the connectivity determination method of the topology. For example, the topology structure is updated by determining whether the connection relationship of the electrical components is correct or not, or by determining connectivity of the topology structure by expanding adjacent nodes.
According to the other possible implementation mode, state information of the power distribution network acquired through remote signaling and remote sensing is acquired according to the current working condition of the power distribution network, the remote sensing and remote signaling positions are placed in the operation data of the electrical element, coarse detection is carried out according to a preset simple rule, and the topological structure is updated. The preset simple rule can include that the state information identification branch is not communicated, but the telemetering amount identification branch has current or active power, the telemetering amount and the telemetering amount are considered to be contradictory to each other, at least one error exists, and the topological structure can be updated only after the telemetering amount identification branch is checked to be correct; or the state information marks that the branches are communicated, but the related branch telemetering measurement does not acquire current or active power, the telemetering amount or the telemetering amount is considered to be suspicious and listed in a suspicious list, but the updating of the topological structure is not influenced.
The topological structure of the power distribution network is updated through the collected data, so that the updated topological structure is more comprehensive and more suitable for the actual use condition of the power distribution network, the parameters of the power distribution network can be determined accurately in the following process, and the authenticity and the reliability of the data are guaranteed.
And S120, determining parameters of the power distribution network according to the topological structure.
The topological structure can be embodied as a node and a branch, and the power transmission line between the two nodes is the branch. The legs may include, but are not limited to, wire type legs, transformer winding type legs, and the like.
Optionally, the power distribution network parameter includes at least one of the following: voltage real part, voltage imaginary part, resistance, reactance and half susceptance to ground. The distribution network parameters may be expressed in per unit values.
The power distribution network usually adopts alternating current to transmit power, voltage in the alternating current is a vector with a direction, the voltage vector is represented by a voltage real part and a voltage imaginary part, the voltage real part can represent an active component, and the voltage imaginary part can represent a reactive component. The resistance may be the magnitude of the current blocking effect of the conductor. The reactance acts as a barrier to the current in the alternating current, reflecting the magnetic field effect of the transmission line. The susceptance can reflect the electric field effect of the power transmission line, and the half susceptance to the ground can be half of the susceptance between the charged body and the ground by taking the ground as a reference.
And determining corresponding power distribution network parameters according to the attribute information associated with the topological structure in the power distribution network, so as to generate a power distribution network measurement equation set according to the power distribution network parameters and check the accuracy of the power distribution network parameters.
For example, for a node in the topological structure, a group of corresponding power distribution network parameters can be determined according to the current working condition of the power distribution network, and are expressed by a rectangular coordinate system. For example, e is a real node voltage part, f is an imaginary node voltage part, and the value ranges of e and f are both limited by a preset reference value ± 25%, that is, the value range of the distribution network parameter corresponding to the node is 0.75 ≤ e ≤ 1.25, and 0.75 ≤ f ≤ 1.25. The node distribution network parameters are related to multiple working conditions, and the node distribution network parameters comprise groups of node distribution network parameters according to the working conditions.
For example, for a conducting wire type branch in a topological structure, a pi-type equivalent circuit can be used for determining the power distribution network parameters of the conducting wire type branch, and the determination of the power distribution network parameters of the conducting wire type branch is independent of the working condition. For example, r is the branch resistance, x is the branch reactance, g is half the ground conductance, b is half the ground susceptance, i.e., half the ground susceptance, and g is negligible when the distribution network is under steady state analysis conditions. The initial value range of the power distribution network parameters of the lead type branch circuit is as follows: r is more than or equal to 0.000001 and less than or equal to 0.05, x is more than or equal to 0.000001 and less than or equal to 0.1, and b is more than or equal to 0.000001 and less than or equal to 1.0. When the distribution network parameters of the wire type branch circuits are set to be credible, the value range of the distribution network parameters of the wire type branch circuits is set to have the upper limit and the lower limit equal to the parameter values of the distribution network parameters of the credible wire type branch circuits.
For example, for a transformer winding type branch in a topological structure, power distribution network parameters of the transformer winding type branch are constructed, and the determination of the power distribution network parameters of the transformer winding type branch does not need to consider multiple working conditions. For example, r is copper loss equivalent resistance, x is leakage reactance, g is iron loss equivalent conductance, b is excitation admittance, and g and b can be ignored under the condition of steady state analysis of the distribution network. The initial value range of the distribution network parameters of the winding type branch of the transformer is as follows: r is more than or equal to 0.000001 and less than or equal to 0.05, and x is more than or equal to 0.000001 and less than or equal to 1.0. When the distribution network parameters of the transformer winding type branch circuits are set to be credible, the value range of the distribution network parameters of the transformer winding type branch circuits is set to have the upper limit and the lower limit equal to the parameter values of the distribution network parameters of the credible transformer winding type branch circuits.
And S130, generating a power distribution network measurement equation set according to the topological structure and the power distribution network parameters, and generating a target function according to the power distribution network measurement equation set.
The power distribution network measurement equation set can be obtained based on a power formula, and according to the topological structure, the calculation relation among the power distribution network parameters is described, and the equation set is formed. The objective function may be a function for calculating the index value, may be a calculation relationship of the index value obtained by integrating a power distribution network measurement equation set, and is determined as the objective function. The objective function is used to solve the solution of the optimized distribution network parameters. Illustratively, the index value may be a current, a voltage, a power, and the like, and accordingly, the objective function may include: a node voltage function, a node current function, a node active function, a node reactive function, a branch active function and a branch reactive function.
The node voltage function may be a calculated relationship describing node voltage and node voltage related data. The node current function may be a calculated relationship describing node current versus node current related data. The node active function may be a calculation relation describing the node active power and the data related to the node active power. The node reactive function may be a calculation relationship describing node reactive power and data related to the node reactive power. The branch active function may be a calculation relation describing branch active power and data related to the branch active power. The branch reactive function may be a calculation relationship describing branch reactive power and branch reactive power related data.
Because the current, the voltage and the power in the power distribution network can determine the performance of the power distribution network, objective functions are respectively set for parameters of the power distribution network related to the nodes and the branches, so that the performance of the power distribution network can be accurately judged, and the parameters of the power distribution network can be dynamically adjusted according to requirements.
Optionally, generating a power distribution network measurement equation set according to the topology and the power distribution network parameters, including: and generating a power distribution network measurement equation set corresponding to the current working condition according to the topological structure and the power distribution network parameters.
Specifically, a corresponding power distribution network measurement equation set is generated according to the topological structure, the power distribution network parameters corresponding to the topological structure and the current working condition of the power distribution network according to a preset rule or a power formula. And the corresponding equation sets of different working conditions are different.
And generating a power distribution network measurement equation set according to the topological structure of the current working condition and the power distribution network parameters, and constructing the relationship among the power distribution network parameters, so that the method is visual and clear. Different equation sets are generated according to different working conditions, authenticity and accuracy of parameter relation in the equation sets can be guaranteed, and parameters meeting the working conditions can be calculated accurately.
And S140, determining the target attribute value of the power distribution network parameter by taking the function value of the target function meeting the optimal condition as a target.
The target attribute value may be a value of a power distribution network parameter, and is used to update a current value of the power distribution network parameter. The function value satisfies the optimal condition, indicating that the function value of the objective function is the optimal value. For example, the objective function is a node current function, and it can be understood that the power consumption of the power distribution network can be reduced when the current of the node is expected to be small in the power distribution network, so that the optimal condition is that the function value of the node current function is minimum, that is, the function value of the node current function is minimum.
Specifically, an artificial intelligence genetic algorithm may be employed to optimize the objective function. For example, differential evolution algorithm evolution is selected as an evolution operator, the population number is set to be 10 times of the node number, and the maximum evolution generation number is 1000 generations, so that multi-objective optimization is performed.
In an implementation manner, the objective function with the function value satisfying the optimal condition is taken as an objective, the individuals with the highest rank in the population finally reserved after the objective function is optimized are output, the checksum judgment is performed, and the obtained result is determined as the target attribute value of the power distribution network parameter, wherein the number of the output individuals can be 100.
For example, the distribution situation of each power distribution network parameter obtained by the optimization in 100 individuals can be counted, including the maximum value, the minimum value, the average value, the variance and the like, and the value range of the power distribution network parameter optimized in this time is obtained; setting the number of the parameters of the power distribution network which do not need to be optimized again to be 0; if the difference between at least one of the average value and the variance and the last statistical data in the statistical result of the time exceeds a set threshold, such as +/-25%, or the optimization is performed for the first time, taking the maximum value and the minimum value in the statistical data of the time as the value range of the power distribution network parameters during the next optimization, and adding 1 to the number of the parameters needing to be optimized again; if the number of the power distribution network parameters needing to be optimized again is larger than or equal to the number of the power distribution network parameters needing to be optimized again in the previous round, or the optimization is carried out for the first time in the current round, returning to the previous step to continue the next round of optimization, otherwise, outputting each attribute value of the power distribution network parameters obtained through optimization, comparing each attribute value with each existing attribute value of the power distribution network parameters, if the difference value between the attribute value obtained through optimization and the existing attribute value exceeds a set percentage value, identifying whether the attribute value obtained through optimization is suspicious by using multi-section, and outputting the identified optimized attribute value and the existing attribute value; and substituting the optimized attribute values into various calculations to carry out comprehensive judgment, judging whether the optimized attribute values are credible according to whether the calculation results are accurate, and determining the accurate optimized attribute values as the target attribute values of the power distribution network parameters.
In the embodiment of the invention, the parameters of the power distribution network are determined based on the current power distribution network topological structure, and the parameters of the power distribution network are generated according to the real-time topological structure, so that the integrity and comprehensiveness of the parameters of the power distribution network can be ensured, and the parameters of the power distribution network are not omitted; firstly generating a power distribution network measurement equation set according to the topological structure and the power distribution network parameters, then generating a target function according to the power distribution network measurement equation set, determining the attribute values of the power distribution network parameters according to the calculation result, and accurately and quickly determining the attribute values of the power distribution network parameters. The problem that the parameters of the power distribution network are lack or inaccurate is solved, and an optimal scheme is provided for efficiently determining the parameters of the power distribution network; in addition, the power grid configuration is perfected, the power distribution network is reasonably planned, the power resources are effectively utilized, the service quality and the maintenance efficiency of the power grid are improved, the stability and the reliability of power supply of the power distribution network are guaranteed, and the sustainable development of the power grid is promoted.
Optionally, generating a power distribution network measurement equation set according to the topology and the power distribution network parameters, including: determining at least one branch according to the topological structure; generating a branch equivalent admittance equation set according to the resistance and the reactance of each branch; generating a node self-admittance equation set according to the half susceptance of each branch; generating a node voltage equation set, a node active equation set, a node reactive equation set, a branch current equation set, a branch active equation set and a branch reactive equation set according to the voltage imaginary part and the voltage real part of each branch; and determining the branch equivalent admittance equation set, the node self-admittance equation set, the node voltage equation set, the node active equation set, the node reactive equation set, the branch current equation set, the branch active equation set and the branch reactive equation set as a power distribution network measurement equation set.
And generating a power distribution network measurement equation set according to the parameters of the power distribution network connected with the topological structure, wherein the equation set visually shows the relation among the parameters of the power distribution network, and lays a calculation foundation for the subsequent construction of an objective function.
Specifically, the branch resistance and the reactance may be set as variables according to a set rule to generate a branch equivalent admittance equation set: for example, the branch equivalent admittance equation set can be the following equation set 1:
wherein Z is ij Is the equivalent impedance of the branch between node i and node j, r ij Is the resistance, x, of the branch between node i and node j ij Reactance of a branch from node i to node j, Y ij Admittance of a branch between node i and node j, G ij Conductance of the branch between node i and node j, B ij Is the susceptance of the branch between node i and node j.
Specifically, the node self-admittance equation set can be generated according to the half susceptance and the electric power principle of the connected branches. For example, the node admittance system of equations may be the following system of equations 2:
Y ii ＝∑ j∈M b ij +∑ j∈N Y ij ＝G ii +B ii equation set 2
Wherein, Y ii For the self-admittance of node i, M is the set of all legs connected to node i and having a susceptance to earth, N is the set of all legs connected to node i, b ij Is the half susceptance, G, of the branch between node i and node j ii Is the self-conductance of node i, B ij Is the self susceptance of node i.
Specifically, the node voltage equation set, the node active equation set and the node reactive equation set may be generated according to the voltage imaginary part and the voltage real part of the node voltage. For example, the node voltage equation set, the node active equation set, and the node reactive equation set may be the following equation set 3:
where the subscript w denotes the operating condition, N is the set of all branches connected to node i, including itself,
is the voltage squared deviation of node i, e iw Is the real part of the voltage at node i, f iw Is the imaginary voltage component of node i, U iw Amplitude of the collected voltage, Δ P, for node i iw Is the active deviation of node i, e jw Is the real part of the voltage of node j, f jw Is the imaginary voltage of node j, P iw Active for the acquisition of node i, Δ Q iw As reactive deviation of node i, Q iw And the acquisition of the node i is idle.
Specifically, a branch current equation set, a branch active equation set and a branch reactive equation set can be generated according to the branch current and the voltage imaginary part and the voltage real part of each branch. For example, the branch current equation set, the branch active equation set, and the branch reactive equation set may be the following equation set 4:
wherein the w subscripts indicate the operating conditions,
is the current squared deviation of the branches i-j,
the square of the measured amplitude, Δ P, for the current of branch i-j ijw Active deviation, P, for branch i-j ijw For active measurement of branch i-j, Δ Q ijw For reactive deviation of branch i-j, Q ijw Is the reactive measurement of branch i-j.
The method can be understood as integrating a branch equivalent admittance equation set, a node self-admittance equation set, a node voltage equation set, a node active equation set, a node reactive equation set, a branch current equation set, a branch active equation set and a branch reactive equation set to construct a power distribution network measurement equation set.
Specifically, a generation objective function can be constructed according to each equation contained in the power distribution network measurement equation set, so that a set of optimal solutions of the power distribution network parameters can be obtained through the subsequent mathematical calculation of the optimal values of the objective function. For example, the objective function may be the following equation set 5:
wherein,
representing all working conditions of the power distribution network, f (u) representing a node voltage objective function, f (pn) representing a node active objective function, f (qn) representing a node reactive objective function, f (i) representing a branch current objective function, f (pl) representing a branch active objective function, and f (ql) representing a branch reactive objective function.
Optionally, after determining the target attribute value of the power distribution network parameter, the method further includes: acquiring a current attribute value of a power distribution network parameter; comparing the current attribute value with the target attribute value to determine a screening value; and correcting the current attribute value of the power distribution network parameter according to the screening value.
Specifically, the current attribute value may be an actual attribute value of each power distribution network parameter under the current working condition of the power distribution network; comparing and optimizing to obtain a target attribute value and an actual current attribute value of the power distribution network, and determining a comparison result as a screening value, wherein if the comparison result is smaller, the screening value is selected; and correcting the current attribute value of the power distribution network parameter according to the screening value.
The parameters of the power distribution network are corrected through the comparison result of the current attribute and the target attribute, and the parameters of the power distribution network can be reasonably allocated, so that the power distribution network conforms to a nearly reasonable value, the effects of safety, economy, more supply and less loss are realized, and the economic benefit of the power system is improved.
Example two
Fig. 2 is a schematic structural diagram of a distribution network parameter determination device according to a second embodiment of the present invention. The present embodiment may be applicable to the case of determining the power distribution network parameters, the apparatus may be implemented in a software and/or hardware manner, and the apparatus may be integrated in any device that provides power distribution network parameter determination, as shown in fig. 2, the power distribution network parameter determination apparatus may specifically include:
a topology obtaining module 210, configured to obtain a topology of a power distribution network;
the parameter determining module 220 is configured to determine a power distribution network parameter according to the topology structure;
the objective function generation module 230 is configured to generate a power distribution network measurement equation set according to the topology and the power distribution network parameters, and generate an objective function according to the power distribution network measurement equation set;
and the attribute value determining module 240 is configured to determine a target attribute value of the power distribution network parameter by taking the function value of the target function as a target to meet the optimal condition.
In the embodiment of the invention, the topological structure of the power distribution network is obtained; determining parameters of the power distribution network according to the topological structure; generating a power distribution network measurement equation set according to the topological structure and the power distribution network parameters, and generating a target function according to the power distribution network measurement equation set; and determining the target attribute value of the power distribution network parameter by taking the function value of the target function meeting the optimal condition as a target. According to the scheme, the target function is generated based on the power grid topological structure and the power distribution network parameters, the target attribute value of the power distribution network parameters is determined according to the target function, the power distribution network parameters can be accurately and quickly determined, and an optimal scheme is provided for efficiently determining the power distribution network parameters; in addition, the power grid configuration is perfected, the power distribution network is reasonably planned, the power resources are effectively utilized, the service quality and the maintenance efficiency of the power grid are improved, the stability and the reliability of power supply of the power distribution network are guaranteed, and the sustainable development of the power grid is promoted.
Optionally, the power distribution network parameters include at least one of the following: voltage real part, voltage imaginary part, resistance, reactance and half susceptance to ground.
Optionally, the objective function generating module 230 includes:
a branch determining unit, configured to determine at least one branch according to the topology;
the first equation group generating unit is used for generating a branch equivalent admittance equation group according to the resistance and the reactance of each branch;
the second equation set generating unit is used for generating a node self-admittance equation set according to the half susceptance of each branch;
the third equation group generating unit is used for generating a node voltage equation group, a node active equation group, a node reactive equation group, a branch current equation group, a branch active equation group and a branch reactive equation group according to the voltage imaginary part and the voltage real part of each branch;
and the third equation group generating unit is used for determining the branch equivalent admittance equation group, the node self-admittance equation group, the node voltage equation group, the node active equation group, the node reactive equation group, the branch current equation group, the branch active equation group and the branch reactive equation group as the distribution network measurement equation group.
Optionally, the objective function includes: a node voltage function, a node current function, a node active function, a node reactive function, a branch active function and a branch reactive function.
Optionally, the objective function generating module 230 further includes:
and the measurement equation set generation unit is used for generating a power distribution network measurement equation set corresponding to the current working condition according to the topological structure and the power distribution network parameters.
On the basis of the above embodiment, the power distribution network parameter determination device further includes:
the attribute value correction module is used for acquiring the current attribute value of the power distribution network parameter after determining the target attribute value of the power distribution network parameter; comparing the current attribute value with the target attribute value to determine a screening value; and correcting the current attribute value of the power distribution network parameter according to the screening value.
On the basis of the above embodiment, the power distribution network parameter determination device further includes:
the working condition acquisition module is used for acquiring the current working condition of the power distribution network;
the information acquisition module is used for acquiring the state information of the power distribution network, and the state information comprises at least one of the following items: multisource remote signaling, telemetering the state and the value of acquisition;
and the topology updating module is used for updating the topology structure of the power distribution network according to the current working condition and state information.
The power distribution network parameter determining device provided by the embodiment of the invention can execute the power distribution network parameter determining method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
EXAMPLE III
FIG. 3 illustrates a schematic diagram of an electronic device 10 that may be used to implement an embodiment of the present invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, the electronic device 10 includes at least one processor 11, and a Memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM)12, a Random Access Memory (RAM)13, and the like, wherein the Memory stores a computer program executable by the at least one processor, and the processor 11 can execute various suitable actions and processes according to the computer program stored in the ROM 12 or the computer program loaded from the storage unit 18 into the RAM 13. In the RAM 13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An Input/Output (I/O) interface 15 is also connected to the bus 14.
A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and the like. The processor 11 performs the various methods and processes described above, such as the distribution network parameter determination method.
In some embodiments, the power distribution network parameter determination method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the above described method for determining parameters of a power distribution network may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the distribution network parameter determination method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be realized in digital electronic circuitry, Integrated circuitry, Field-Programmable Gate arrays (FPGAs), Application-Specific Integrated circuits (ASICs), Application-Specific Standard Parts (ASSPs), System-On-Chip Systems (SOCs), load Programmable Logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
Computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an erasable programmable Read-Only Memory (EPROM or flash Memory), an optical fiber, a Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a Display device (e.g., a CRT (Cathode Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server may be a cloud Server, which is also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of large management difficulty and weak service extensibility in the conventional physical host and VPS (Virtual Private Server) service.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A power distribution network parameter determination method is characterized by comprising the following steps:
acquiring a topological structure of the power distribution network;
determining the power distribution network parameters according to the topological structure;
generating a power distribution network measurement equation set according to the topological structure and the power distribution network parameters, and generating a target function according to the power distribution network measurement equation set;
and determining the target attribute value of the power distribution network parameter by taking the function value of the target function as a target to meet the optimal condition.
2. The method of claim 1, wherein the distribution network parameters comprise at least one of: voltage real part, voltage imaginary part, resistance, reactance and half susceptance to ground.
3. The method of claim 2, wherein generating a system of distribution network measurement equations based on the topology and the distribution network parameters comprises:
determining at least one branch according to the topological structure;
generating a branch equivalent admittance equation set according to the resistance and reactance of each branch;
generating a node self-admittance equation set according to the half susceptance of each branch;
generating a node voltage equation set, a node active equation set, a node reactive equation set, a branch current equation set, a branch active equation set and a branch reactive equation set according to the voltage imaginary part and the voltage real part of each branch;
and determining the branch equivalent admittance equation set, the node self-admittance equation set, the node voltage equation set, the node active equation set, the node reactive equation set, the branch current equation set, the branch active equation set and the branch reactive equation set as a power distribution network measurement equation set.
4. The method of claim 2, wherein the objective function comprises: a node voltage function, a node current function, a node active function, a node reactive function, a branch active function and a branch reactive function.
5. The method of claim 1, wherein generating a system of distribution network measurement equations based on the topology and the distribution network parameters comprises:
and generating a power distribution network measurement equation set corresponding to the current working condition according to the topological structure and the power distribution network parameters.
6. The method of claim 1, after determining the target property value of the distribution grid parameter, further comprising:
acquiring a current attribute value of the power distribution network parameter;
comparing the current attribute value with the target attribute value to determine a screening value;
and correcting the current attribute value of the power distribution network parameter according to the screening value.
7. The method of claim 1, further comprising:
acquiring the current working condition of the power distribution network;
acquiring state information of the power distribution network, wherein the state information comprises at least one of the following items: multi-source remote signaling and remote measuring of the collected state and the collected value;
and updating the topological structure of the power distribution network according to the current working condition and the state information.
8. A distribution network parameter determination device, characterized by comprising:
the topological structure acquisition module is used for acquiring a topological structure of the power distribution network;
the parameter determining module is used for determining the power distribution network parameters according to the topological structure;
the target function generation module is used for generating a power distribution network measurement equation set according to the topological structure and the power distribution network parameters and generating a target function according to the power distribution network measurement equation set;
and the attribute value determining module is used for determining a target attribute value of the power distribution network parameter by taking the minimum function value of the target function as a target.
9. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the power distribution network parameter determination method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the method for determining parameters of a power distribution network according to any one of claims 1 to 7.
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