CN112765755A - Power distribution network planning method and device considering differential reliability requirements - Google Patents
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Abstract
The application relates to a power distribution network planning method and device considering differentiation reliability requirements. The method comprises the following steps: presetting budget minF of a distribution network wiring planning scheme; the ant colony algorithm obtains candidate trunk line routing, branch line combination solving method obtains branch line routing connecting load points and the candidate trunk line routing, and a distribution network wiring planning scheme is formed according to integral routing formed by the candidate trunk line routing and the branch line routing and in a constraint condition range; calculating comprehensive cost F of the distribution network wiring planning scheme by using a distribution network frame planning cost model; simulating the reliability of the power supply fault calculation distribution network wiring planning scheme by using a sequential Monte Carlo simulation method, judging whether the reliability meets differentiation reliability constraint and integral reliability constraint, and eliminating if the reliability does not meet the differentiation reliability constraint and the integral reliability constraint; comparing whether the comprehensive cost F is less than minF, if so, giving up minF to F, otherwise, giving up the MinF; and judging whether the minF is converged, if so, outputting a target distribution network wiring planning scheme.
Description
Technical Field
The application relates to the field of power distribution network planning, in particular to a power distribution network planning method and device considering differentiation reliability requirements.
Background
The distribution network planning usually needs to consider two major indexes of economy and reliability. However, in order to improve the reliability of the power distribution network planning, on one hand, the electrical connection of the power distribution network needs to be inevitably enhanced, which leads to increased construction cost and poor economy; on the other hand, the investment and construction cost is reduced, which often results in the reduction of the power supply quality and reliability of the power distribution network. Therefore, how to balance the relationship between the two is the key point of power distribution network planning research.
In the prior art, a research aiming at the coordination of reliability and economy is carried out, for example, a power distribution network planning method with the coordination of reliability and economy, which is published in power grid technology, for example, a power distribution network planning method, provides that a mathematical model with the minimum annual income is firstly established to calculate the reliability and economy of a power grid transformation scheme, and the scheme with the minimum annual income is determined to be an optimal power supply scheme of a power grid; then, taking a certain urban distribution network as an example, calculating the annual minimum income of various wiring modes and the annual minimum income under the condition of ensuring civil electricity utilization, and providing a power supply scheme which accords with the optimal reliability of the region after comparing the annual minimum income of different wiring modes; such as: the 'active power distribution network reliability planning' published in the 'electric automation' considers the influence of a distributed power supply continuously accessed to a power distribution network on power distribution network planning, and provides an active power distribution network double-layer optimization model and a solving method based on reliability and economy; such as: aiming at the power distribution network planning problem of considering energy storage and distributed power supply, a multi-stage economic planning method is provided and a multivariable coordination planning model and a solving method based on second-order cone relaxation are established in 'the multi-stage planning of energy storage, distributed power supply and power distribution network based on the improved Benders decomposition' published in the Chinese Motor engineering newspaper. However, the above researches are all to find the optimal economic performance of the power distribution network planning scheme on the basis of meeting the overall reliability requirements of users, but the differential reliability requirements of different types of power users are not fully considered, so that the planning construction of part of lines is not the optimal choice under the current condition, and the construction investment cost is increased.
Disclosure of Invention
In order to solve the technical problem or at least partially solve the technical problem, the application provides a power distribution network planning method and device considering differentiated reliability requirements.
On the one hand, the application provides a power distribution network planning method considering differentiated reliability requirements, which comprises the following steps:
1) presetting budget minF of a distribution network wiring planning scheme;
2) the ant colony algorithm obtains candidate trunk line routing, branch line combination solving method obtains branch line routing connecting load points and the candidate trunk line routing, and a distribution network wiring planning scheme is formed according to integral routing formed by the candidate trunk line routing and the branch line routing and in a constraint condition range;
3) calculating comprehensive cost F of the distribution network wiring planning scheme by using a distribution network frame planning cost model;
simulating the reliability of the power supply fault calculation distribution network wiring planning scheme by using a sequential Monte Carlo simulation method, judging whether the reliability meets differentiation reliability constraint and integral reliability constraint, and eliminating the reliability if the reliability does not meet the differentiation reliability constraint and the integral reliability constraint;
4) comparing whether F is smaller than minF, if yes, making minF equal to F, otherwise, abandoning;
5) judging whether the minF converges, if yes, outputting a target distribution network wiring planning scheme; otherwise return to 2).
Preferably, the objective function of the power distribution network frame planning cost model is as follows:
F＝C1+C2+C3，
wherein F is the comprehensive cost; c1For main line investment and network loss costs, C2For branch line investment costs, C3Investing costs for the tie line;
alpha represents the unit investment cost of the trunk line; r is0Representing a discount rate; m represents the age of the line; l isijRepresenting the trunk line length in the jth feeder block of the ith substation; beta represents a line loss conversion coefficient; beta is a1Represents the electricity price; beta is a2A resistance value per unit length of the line; u represents the line voltage of the feeder line; eta1Representing the probability of holidays in one year; eta2Representing the probability of a weekday of the year; pijtRepresenting loads of a jth feeder line block holiday and working day time sequence of an ith transformer substation in the tth hour; l isiRepresents the length of a connecting line of the ith power supply unit; ceRepresents the unit investment cost of the main line; l isij' represents the sum of branch line lengths of the jth feeder block of the ith substation; n is a radical of1Representing the number of substations; n is a radical of2Representing the number of feeder blocks corresponding to the trunk line; n is a radical of3Represents the number of power supply units; n is a radical of4The branch lines correspond to the number of feeder blocks.
Preferably, the constraint conditions for constructing the distribution network wiring planning scheme to follow include: the method comprises the following steps of feeder line block quantity constraint, power supply unit quantity constraint, line load rate N-1 verification constraint, power supply non-cross constraint, line radius constraint, line tide constraint of a power distribution network, node voltage constraint of the power distribution network and line transmission current-carrying capacity constraint of each transformer substation.
Preferably, the reliability is an average power supply availability index ASAI, and the differential reliability constraint is:
wherein, TneedThe number of electricity needed in a specified time; t isiThe annual outage time for load point i; n is a radical ofiThe number of users at the load point i; lmIs the m-th feeder lineTotal number of load points, EqA q-th feeder line reliability target is obtained;
the overall reliability constraint is:
wherein P is the total load point number of the power distribution network, EwAnd representing the reliability target of the power distribution network.
Preferably, the ant colony algorithm obtaining the candidate trunk line comprises:
2-1) creating a coordinate matrix according to the planning area;
2-2) configuring ant routing rule, establishing an adjacent node set n for ant k to crawl to current node ieighbori；
2-3) initializing the number of ants, the importance degree of pheromones, the importance degree of heuristic factors, pheromone residual coefficients, the maximum iteration times, the initial iteration times, pheromone matrixes, tabu tables, optimal trunk line routing of each generation and trunk line routing length of each generation of ants;
2-4) searching for optimal trunk line routing of each generation by a loop iteration ant colony algorithm until the iteration times reach the maximum iteration times;
2-5) outputting each generation of optimal trunk line and finding the optimal trunk line as the candidate trunk line.
Preferably, the branch line combination solving method includes:
determining 2-4 optional branch line scheme routing of each load point according to the position of each load point and the candidate trunk line routing;
selecting 1 branch line routing for each load point to combine;
comparing the economy of a plurality of feasible branch line routing combinations, the branch line routing with the best economy is taken.
Preferably, the simulating the power supply fault by using the sequential monte carlo simulation method to calculate the reliability of the distribution network wiring planning scheme includes:
3-1) evaluating the reliability index of the power supply element during the fault by using a sequential Monte Carlo simulation method;
3-2) initializing the analog clock to be 0, randomly generating the running time TTF before failure of each element, finding out the minimum TTFr, generating the repair time TTRr for the element, and pushing the analog clock to the TTFr;
3-3) reading load points influenced by the fault of the element r, and recording the power failure times, power failure time and power shortage amount information of the power failure load points;
3-4) generating a new random number, and converting the new random number into a new running time TTFr' of the element r;
3-5) judging whether the analog clock spans years or not, accumulating the recorded power failure information of all users into the reliability index of the load point in the current year if the analog clock does not span years, and calculating the reliability of the load point in the year if the analog clock spans years;
3-6) judging whether the reliability of the load point meets the integral reliability constraint and the differential reliability constraint.
Preferably, the reliability of a plurality of simulated annual load points is counted, and the reliability indexes of a plurality of simulated years are averaged.
On the other hand, the invention also provides a power distribution network planning device considering the differential reliability requirements, which comprises a processing unit, a bus unit, a storage unit, an input unit and a display unit, wherein the bus unit is connected with the processing unit, the storage unit, the input unit and the display unit, the storage unit stores at least one instruction, and the instruction is executed to realize the power distribution network planning method considering the differential reliability requirements.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages:
according to the power distribution network planning method considering the differentiated reliability requirements, the ant colony algorithm is used for obtaining the candidate trunk line routing, and the branch routing is obtained by using the branch line combination solving method; the ant colony algorithm can automatically and efficiently find the optimal main trunk wiring for each iteration, so that the wiring distance of the main trunk of the power distribution network is short, and the comprehensive cost is effectively saved; the method comprises the steps of simulating power supply faults through a sequential Monte Carlo simulation method, counting load points affected by the power supply faults and calculating reliability, screening a distribution network wiring planning scheme through differential reliability constraint of the affected load points and overall reliability constraint of the distribution network, and obtaining the distribution network wiring planning scheme with the best economy through convergence of the minF to finally obtain a target distribution network wiring planning scheme considering both differential reliability and economy.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a flowchart of a power distribution network planning method considering differential reliability requirements according to this embodiment;
fig. 2 is a flowchart of determining trunk routing by ant colony algorithm in the present embodiment;
FIG. 3 is a schematic diagram illustrating a solution for routing branch lines by the branch line combination in this embodiment;
fig. 4 is a flowchart of verifying reliability of a distribution network wiring planning scheme by a sequential monte carlo simulation method in this embodiment;
fig. 5 is a schematic diagram of a power distribution network planning apparatus in this embodiment in consideration of differential reliability requirements.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a flowchart of a power distribution network planning method considering differential reliability requirements according to this embodiment; fig. 2 is a flowchart of determining trunk routing by ant colony algorithm in the present embodiment; FIG. 3 is a schematic diagram illustrating a solution for routing branch lines by the branch line combination in this embodiment; fig. 4 is a flowchart of verifying reliability of a distribution network wiring planning scheme by a sequential monte carlo simulation method in this embodiment; fig. 5 is a schematic diagram of a power distribution network planning apparatus in this embodiment in consideration of differential reliability requirements.
Referring to fig. 1, the present invention provides a power distribution network planning method considering differentiated reliability requirements, including:
1) presetting budget minF of a distribution network wiring planning scheme; in the specific implementation process, a budget is assigned to the budget minF.
2) The ant colony algorithm obtains candidate trunk line routing, branch line combination solving method obtains branch line routing connecting load points and the candidate trunk line routing, and a distribution network wiring planning scheme is formed according to integral routing formed by the candidate trunk line routing and the branch line routing and in a constraint condition range;
in a specific implementation process, referring to fig. 2, the obtaining of the candidate trunk line by the ant colony algorithm includes:
2-1) creating a coordinate matrix according to the planning area; the coordinate matrix stores planned area node coordinates.
2-2) configuring ant routing rule, establishing an adjacent node set n for ant k to crawl to current node ieighbori(ii) a By means of the constraint of the adjacent nodes, the situation that the geographic limit is bypassed when the geographic limit exists between the transformer substation and the load point is avoided when the ant colony algorithm is executed. The ant colony algorithm planning is more suitable for the actual situation.
2-3) initializing the ant number, the importance degree alpha of pheromone, the importance degree beta of heuristic factor, the pheromone residual coefficient rho, the maximum iteration number Gen and the initial iteration number Gen 0; initializing a pheromone matrix, wherein the initial value of an element in the pheromone matrix is assigned to be 1; initializing a tabu table, wherein the tabu table records nodes passed by ants, and the initial value of an element in the tabu table is assigned to be 0; initializing each generation of optimal trunk line routing: sequentially recording nodes on the route of the trunk line and setting the initial assignment as 0; initializing the routing length of a trunk line traveled by each generation of ants, recording the distance between every two adjacent nodes, and initially assigning the length to be infinite;
2-4) searching for optimal trunk line routing of each generation by a loop iteration ant colony algorithm until the iteration times reach the maximum iteration times;
specifically, ants are randomly placed on nodes in the coordinate matrix, and a taboo table of each ant is recorded;
each ant collects n according to the adjacent nodes of the current node ieighboriAnd the tabu table identifies a set J of nodes J that are likely to be accessed belowkExecuting the maximum state transition probability to the target node j,
wherein, the state transition probability:
wherein, tauij(t) is the value of a pheromone, stored in the pheromone matrix; etaij(t) represents the expected degree of transfer of ants from node i to node j, dijRepresenting the distance between the adjacent 2 path nodes, and recording the distance in the optimal trunk line routing length;
after the ant is transferred to the node j, updating the taboo table until the ant finishes planning the power distribution network;
and selecting the shortest route from the route lengths of the main lines traveled by the ants as the optimal main line route of the iteration.
Updating the pheromone matrix tau after completion of an iterationij(t+n)＝ρτij(t)+ΔτijAnd (t) carrying out next iteration according to the updated pheromone matrix. Wherein the content of the first and second substances,
and (5) circularly iterating until the iteration number reaches the maximum iteration number Gen.
2-5) outputting each generation of optimal trunk line and finding the optimal trunk line as the candidate trunk line.
Obtaining branch line wires connecting the load points and the candidate trunk line wires by a branch line combination solving method, as shown in fig. 3, the branch line combination solving method includes:
determining 2-4 optional branch line scheme routing of each load point according to the position of each load point and the candidate trunk line routing;
selecting 1 branch line routing for each load point to combine; such as (R1, R4, R8)
Comparing the economy of a plurality of feasible branch line routing combinations, the branch line routing with the best economy is taken. And in the specific implementation process, the economy of the branch line routing combination is calculated according to C2 in the power distribution network frame planning cost model.
And after the trunk line routing and the branch line routing are planned, the distribution network wiring planning scheme is constructed through constraint conditions. Specifically, the constraints to be followed include: the method comprises the following steps of feeder line block quantity constraint, power supply unit quantity constraint, line load rate N-1 verification constraint, power supply non-cross constraint, line radius constraint, line tide constraint of a power distribution network, node voltage constraint of the power distribution network and line transmission current-carrying capacity constraint of each transformer substation. Wherein the content of the first and second substances,
the line power flow constraint of the power distribution network is as follows:
in the formula, Pi、QiInjecting active power and reactive power at a node i; u shapei、UjThe voltage amplitudes of the nodes i and j are obtained; gij、BijThe conductance and susceptance of branch ij; thetaijIs the voltage angle difference between nodes i and j; Ω is the set of all lines.
And (3) power distribution network node voltage constraint:
Uimin<Ui<Uimax，
where Ui is the voltage magnitude at node i, and Uimin and Uimax are the minimum and maximum values, respectively, of the voltage at node i.
And (3) line transmission current-carrying capacity constraint:
in the formula IkAnd the current magnitude on the kth line is represented, and the line transmission current is constrained by thermodynamics and point dynamics of the distribution network in operation.
The wiring is performed on the main line wiring and the branch line wiring under the above-described constraint conditions.
3) Calculating comprehensive cost F of the distribution network wiring planning scheme by using a distribution network frame planning cost model;
the objective function of the power distribution network frame planning cost model is as follows: f ═ C1+C2+C3，
Wherein F is the comprehensive cost; c1For main line investment and network loss costs, C2For branch line investment costs, C3Investing costs for the tie line;
alpha represents the unit investment cost of the trunk line; r is0Representing a discount rate; m represents the age of the line; l isijRepresenting the trunk line length in the jth feeder block of the ith substation; beta represents a line loss conversion coefficient; beta is a1Represents the electricity price; beta is a2A resistance value per unit length of the line; u represents the line voltage of the feeder line; eta1Representing the probability of holidays in one year; eta2Representing the probability of a weekday of the year; pijtJ (th) for i (th) substationThe load of the feeder line block holiday and working day time sequence in the t hour; l isiRepresents the length of a connecting line of the ith power supply unit; ceRepresents the unit investment cost of the main line; l isij' represents the sum of branch line lengths of the jth feeder block of the ith substation; n is a radical of1Representing the number of substations; n is a radical of2Representing the number of feeder blocks corresponding to the trunk line; n is a radical of3Represents the number of power supply units; n is a radical of4The branch lines correspond to the number of feeder blocks.
Simulating the reliability of the power supply fault calculation distribution network wiring planning scheme by using a sequential Monte Carlo simulation method, judging whether the reliability meets differentiation reliability constraint and integral reliability constraint, and eliminating the reliability if the reliability does not meet the differentiation reliability constraint and the integral reliability constraint;
in a specific implementation process, the reliability is an average power supply availability index ASAI;
the differential reliability constraint:
wherein, TneedThe number of electricity needed in a specified time; t isiThe annual outage time for load point i; n is a radical ofiThe number of users at the load point i; lmThe total number of load points for the mth feeder line, EqA q-th feeder line reliability target is obtained;
the overall reliability constraint is:
wherein P is the total load point number of the power distribution network, EwAnd representing the reliability target of the power distribution network.
Referring to fig. 4, the simulation of the power supply fault by the sequential monte carlo simulation method to calculate the reliability of the distribution network wiring planning scheme includes:
3-1) evaluating the reliability index of the power supply element during the fault by using a sequential Monte Carlo simulation method;
3-2) initializing the analog clock to be 0, randomly generating the running time TTF before failure of each element, finding out the minimum TTFr, generating the repair time TTRr for the element, and pushing the analog clock to the TTFr;
3-3) reading a load point influenced by the fault of the element r through an FMEA (failure mode and effects analysis) table, and recording the power failure times, power failure time and power shortage amount information of the load point;
3-4) generating a new random number, and converting the new random number into a new running time TTFr' of the element r;
3-5) judging whether the analog clock spans years or not, accumulating the recorded power failure information of all users into the reliability index of the load point in the current year if the analog clock does not span years, and calculating the reliability of the load point in the year if the analog clock spans years; in the specific simulation process, the reliability accuracy can be improved by averaging the reliability indexes of a plurality of simulation years by counting the reliability of a plurality of simulation year load points.
3-6) judging whether the reliability of the load point meets the integral reliability constraint and the differential reliability constraint.
4) Comparing whether the comprehensive cost F is less than the minF, if so, making the minF equal to the F, and otherwise, abandoning the power distribution network wiring planning scheme with the comprehensive cost F more than the minF;
5) judging whether the minF converges, if yes, outputting a target distribution network wiring planning scheme; otherwise return to 2).
Referring to fig. 5, the present invention further provides a power distribution network planning apparatus considering the requirement of differential reliability, including a processing unit, a bus unit, a storage unit, an input unit, and a display unit, where the bus unit is connected to the processing unit, the storage unit, the input unit, and the display unit, and the storage unit stores at least one instruction, and executes the instruction to implement the power distribution network planning method considering the requirement of differential reliability.
It is noted that, in this document, relational terms such as "voltage regulation" and "bus bar" and the like are used solely to distinguish one entity or operation from another entity or operation without necessarily requiring or implying any actual such relationship or order between such entities or operations. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present invention, which enable those skilled in the art to understand or practice the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. A power distribution network planning method considering differentiated reliability requirements is characterized by comprising the following steps:
1) presetting budget minF of a distribution network wiring planning scheme;
2) the ant colony algorithm obtains candidate trunk line routing, branch line combination solving method obtains branch line routing connecting load points and the candidate trunk line routing, and a distribution network wiring planning scheme is formed according to integral routing formed by the candidate trunk line routing and the branch line routing and in a constraint condition range;
3) calculating comprehensive cost F of the distribution network wiring planning scheme by using a distribution network frame planning cost model;
simulating the reliability of the power supply fault calculation distribution network wiring planning scheme by using a sequential Monte Carlo simulation method, judging whether the reliability meets differentiation reliability constraint and integral reliability constraint, and eliminating the reliability if the reliability does not meet the differentiation reliability constraint and the integral reliability constraint;
4) comparing whether the comprehensive cost F is less than the minF, if so, giving the minF to F, otherwise, giving up the minF;
5) judging whether the minF converges, if yes, outputting a target distribution network wiring planning scheme; otherwise return to 2).
2. The power distribution network planning method considering the differential reliability requirements according to claim 1, wherein the objective function of the power distribution network planning cost model is as follows:
F＝C1+C2+C3，
wherein F is the comprehensive cost; c1For main line investment and network loss costs, C2For branch line investment costs, C3Investing costs for the tie line;
alpha represents the unit investment cost of the trunk line; r is0Representing a discount rate; m represents the age of the line; l isijRepresenting the trunk line length in the jth feeder block of the ith substation; beta represents a line loss conversion coefficient; beta is a1Represents the electricity price; beta is a2A resistance value per unit length of the line; u represents the line voltage of the feeder line; eta1Representing the probability of holidays in one year; eta2Representing the probability of a weekday of the year; pijtRepresenting loads of a jth feeder line block holiday and working day time sequence of an ith transformer substation in the tth hour; l isiRepresents the length of a connecting line of the ith power supply unit; ceRepresents the unit investment cost of the main line; l isij' represents the sum of branch line lengths of the jth feeder block of the ith substation; n is a radical of1Representing the number of substations; n is a radical of2Representing the number of feeder blocks corresponding to the trunk line; n is a radical of3Represents the number of power supply units; n is a radical of4The branch lines correspond to the number of feeder blocks.
3. The method for planning the power distribution network according to claim 1, wherein the constructing of the constraint conditions to be followed by the power distribution network wiring planning scheme comprises: the method comprises the following steps of feeder line block quantity constraint, power supply unit quantity constraint, line load rate N-1 verification constraint, power supply non-cross constraint, line radius constraint, line tide constraint of a power distribution network, node voltage constraint of the power distribution network and line transmission current-carrying capacity constraint of each transformer substation.
4. The method of claim 1, wherein the reliability is an average power availability indicator (ASAI), and the differential reliability is constrained by:
wherein, TneedThe number of electricity needed in a specified time; t isiThe annual outage time for load point i; n is a radical ofiThe number of users at the load point i; lmThe total number of load points for the mth feeder line, EqA q-th feeder line reliability target is obtained;
the overall reliability constraint is:
wherein P is the total load point number of the power distribution network, EwAnd representing the reliability target of the power distribution network.
5. The method for planning a power distribution network according to claim 1, wherein the ant colony algorithm obtaining candidate trunk lines comprises:
2-1) creating a coordinate matrix according to the planning area;
2-2) configuring ant routing rule, establishing ant k to crawl to the adjacent node of the current node iSet of nodes neighbori；
2-3) initializing the number of ants, the importance degree of pheromones, the importance degree of heuristic factors, pheromone residual coefficients, the maximum iteration times, the initial iteration times, pheromone matrixes, tabu tables, optimal trunk line routing of each generation and trunk line routing length of each generation of ants;
2-4) searching for optimal trunk line routing of each generation by a loop iteration ant colony algorithm until the iteration times reach the maximum iteration times;
2-5) outputting each generation of optimal trunk line and finding the optimal trunk line as the candidate trunk line.
6. The power distribution network planning method considering differential reliability requirements according to claim 5, wherein the branch line combination solving method comprises:
determining 2-4 optional branch line scheme routing of each load point according to the position of each load point and the candidate trunk line routing;
selecting 1 branch line routing for each load point to combine;
comparing the economy of a plurality of feasible branch line routing combinations, the branch line routing with the best economy is taken.
7. The method for planning distribution network according to claim 1, wherein the distribution network planning method takes into account differential reliability requirements,
the method for simulating the power supply fault and calculating the reliability of the power distribution network wiring planning scheme by using the sequential Monte Carlo simulation method comprises the following steps:
3-1) evaluating the reliability index of the power supply element during the fault by using a sequential Monte Carlo simulation method;
3-2) initializing the analog clock to be 0, randomly generating the running time TTF before failure of each element, finding out the minimum TTFr, generating the repair time TTRr for the element, and pushing the analog clock to the TTFr;
3-3) reading the load point influenced by the fault of the element r, and recording the power failure times, power failure time and power shortage amount information of the load point;
3-4) generating a new random number, and converting the new random number into a new running time TTFr' of the element r;
3-5) judging whether the analog clock spans years or not, accumulating the recorded power failure information of all users into the reliability index of the load point in the current year if the analog clock does not span years, and calculating the reliability of the load point in the year if the analog clock spans years;
3-6) judging whether the reliability of the load point meets the integral reliability constraint and the differential reliability constraint.
8. The method of claim 7, wherein the reliability of the plurality of simulated annual load points is counted, and the reliability indexes of the plurality of simulated annual load points are averaged.
9. A power distribution network planning device considering differential reliability requirements is characterized by comprising a processing unit, a bus unit, a storage unit, an input unit and a display unit, wherein the bus unit is connected with the processing unit, the storage unit, the input unit and the display unit, the storage unit stores at least one instruction, and the instruction is executed to realize the power distribution network planning method considering differential reliability requirements according to any one of claims 1 to 8.
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