Power distribution network planning method and device based on new energy access, terminal equipment and storage medium

Abstract

The invention discloses a new energy access-based power distribution network planning method and apparatus, a terminal device and a storage medium. The method comprises the steps of obtaining node data, line data, operation data, new energy basic data, network frame cost data and environmental pollution data of a to-be-planned power distribution network; constructing a power distribution network planning model according to the node data, the line data, the operation data and the new energy basic data; performing calculation according to the node data, the line data, the operation data, the net rack cost data and the environmental pollution data to obtain comprehensive loss cost; solving the power distribution network planning model to obtain power distribution network optimization parameters by taking the minimum comprehensive loss cost as a target under the constructed power grid power flow constraint, power grid voltage constraint, branch current constraint and newly-added network frame line constraint; and planning the to-be-planned power distribution network according to the power distribution network optimization parameters. By implementing the method, the comprehensive loss cost of the power distribution network is effectively reduced, so that the structure of the power distribution network is planned more reasonably.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network planning, and in particular to a distribution network planning method, device, terminal equipment and storage medium based on new energy access. Background Art

[0002] With the transformation of the global energy structure and the enhancement of environmental awareness, new energy such as solar energy, wind energy, hydropower and other renewable resources have been widely used in the power system. The access of new energy to the distribution network has become an important direction for the development of the current power system. Under multi-objective constraint planning, the existing distribution network planning method only considers the impact of new energy access on the voltage and flow of the power grid, and does not comprehensively consider the grid dispatching objectives after the access of new energy, such as cost objectives and environmental benefit objectives. After the access of new energy to the power grid, new supporting lines need to be added to the power grid. The planning of the distribution network does not consider the comprehensive impact of the dispatching objectives of each power grid on the distribution network when the new energy is accessed, resulting in the low applicability of the existing distribution network planning method and cannot be used for multi-objective planning. Summary of the invention

[0003] The embodiments of the present invention provide a distribution network planning method, device, terminal equipment and storage medium based on new energy access, which can effectively solve the problem that the prior art only considers the impact of new energy access on grid voltage, flow and other aspects, but does not comprehensively consider the grid dispatching goals after new energy access, such as cost goals and environmental benefit goals.

[0004] An embodiment of the present invention provides a distribution network planning method based on new energy access, including:

[0005] Obtain node data, line data, operation data, new energy basic data, grid cost data and environmental pollution data of the distribution network to be planned;

[0006] Constructing a distribution network planning model according to the node data, the line data, the operation data and the new energy basic data;

[0007] Constructing the power grid flow constraints, power grid voltage constraints, branch current constraints and newly added grid line constraints of the distribution network planning model according to the node data, the line data, the operation data and the new energy basic data;

[0008] Calculate according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data to obtain a comprehensive loss cost;

[0009] Under the constraints of the power grid flow, power grid voltage, branch current and newly added grid line, the distribution network planning model is solved with the goal of minimizing the comprehensive loss cost to obtain the distribution network optimization parameters;

[0010] The distribution network to be planned is planned according to the distribution network optimization parameters.

[0011] Furthermore, the power grid flow constraint is:

[0012]

[0013] Among them, P i is the active power injected into node i; P DGi is the active power of the new energy source injected into node i; P loadi is the active load of node i; Q i is the reactive power injected into node i; Q DGi is the reactive power of the new energy source injected into node i; Q loadi is the reactive load of node i; x i is the node voltage of the first node i of the branch; x j is the node voltage at the end node j of the branch; ε ij is the branch conductance of the corresponding branch ij; γ ij is the branch susceptance corresponding to branch ij; φ ij is the power factor angle of the first and last nodes ij branch;

[0014] The grid voltage constraint is:

[0015]

[0016] in, is the voltage of node i; is the minimum voltage of node i; is the maximum voltage of node i;

[0017] The branch current constraint is:

[0018] 0≤η j ≤η jmax ;

[0019] Among them, η j is the current on branch j; η jmax is the maximum current allowed to flow through branch j;

[0020] The newly added grid line constraints are:

[0021]

[0022] Among them, N DG-line,maxThe upper limit of the number of new grid lines connected to each new energy source; N line,max The total upper limit of the planned new grid lines in the target grid of the distribution network; Ω line is the candidate line set for adding new grid lines; Ω DG is the candidate node set for adding new grid lines; β l A new binary variable for grid lines.

[0023] Furthermore, the comprehensive loss cost is obtained by calculating according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data, including:

[0024] Calculate according to the node data, the line data and the grid cost data to obtain the new grid investment cost;

[0025] Calculate according to the line data and the operation data to obtain the loss cost of the distribution network;

[0026] Calculating according to the node data, the line data and the operation data to obtain reliability loss costs;

[0027] Calculate according to the environmental pollution data and the operating data to obtain the environmental loss cost;

[0028] The comprehensive loss cost is calculated based on the new grid investment cost, the distribution network grid loss cost, the reliability loss cost, the environmental loss cost and the preset planning weight.

[0029] Furthermore, the planning weights include: a weight of new grid investment cost, a weight of distribution network grid loss cost, a weight of reliability loss cost, and a weight of environmental loss cost;

[0030] The weight of the new grid investment cost, the weight of the distribution network grid loss cost, the weight of the reliability loss cost and the weight of the environmental loss cost meet the following constraints:

[0031]

[0032] Among them, ω1 is the weight of the new grid investment cost, ω2 is the weight of the distribution network grid loss cost, ω3 is the weight of the reliability loss cost; ω4 is the weight of the environmental loss cost.

[0033] Further, the distribution network optimization parameters include: new energy access capacity, new energy access location, number of new distribution lines added to the distribution network, and location of new distribution lines;

[0034] Planning the distribution network to be planned according to the distribution network optimization parameters includes:

[0035] Generate a new energy access plan for the distribution network to be planned according to the new energy access capacity and the new energy access location;

[0036] Generate a new grid scheme for the distribution network to be planned according to the number of new distribution lines in the distribution network and the locations of the new distribution lines;

[0037] According to the new energy access plan and the new grid plan, the planned distribution network is planned.

[0038] As an improvement of the above solution, another embodiment of the present invention provides a distribution network planning device based on new energy access, including:

[0039] The distribution network data acquisition module is used to obtain the node data, line data, operation data, new energy basic data, grid cost data and environmental pollution data of the distribution network to be planned;

[0040] A distribution network model building module, used to build a distribution network planning model according to the node data, the line data, the operation data and the new energy basic data;

[0041] A distribution network constraint construction module, used to construct the power grid flow constraint, power grid voltage constraint, branch current constraint and newly added grid line constraint of the distribution network planning model according to the node data, the line data, the operation data and the new energy basic data;

[0042] A comprehensive loss calculation module, used to calculate according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data to obtain a comprehensive loss cost;

[0043] A distribution network model solving module is used to solve the distribution network planning model under the constraints of the power grid flow, power grid voltage, branch current and newly added grid line, with the goal of minimizing the comprehensive loss cost, and obtain the distribution network optimization parameters;

[0044] The distribution network planning module is used to plan the distribution network to be planned according to the distribution network optimization parameters.

[0045] Furthermore, the power grid flow constraint is:

[0046]

[0047] Among them, P i is the active power injected into node i; P DGi is the active power of the new energy source injected into node i; P loadi is the active load of node i; Q iis the reactive power injected into node i; Q DGi is the reactive power of the new energy source injected into node i; Q loadi is the reactive load of node i; x i is the node voltage of the first node i of the branch; x j is the node voltage at the end node j of the branch; ε ij is the branch conductance of the corresponding branch ij; γ ij is the branch susceptance corresponding to branch ij; φ ij is the power factor angle of the first and last nodes ij branch;

[0048] The grid voltage constraint is:

[0049]

[0050] in, is the voltage of node i; is the minimum voltage of node i; is the maximum voltage of node i;

[0051] The branch current constraint is:

[0052] 0≤η j ≤η jmax ;

[0053] Among them, η j is the current on branch j; η jmax is the maximum current allowed to flow through branch j;

[0054] The newly added grid line constraints are:

[0055]

[0056] Among them, N DG-line,max The upper limit of the number of new grid lines connected to each new energy source; N line,max The total upper limit of the planned new grid lines in the target grid of the distribution network; Ω line is the candidate line set for adding new grid lines; Ω DG is the candidate node set for adding new grid lines; β l A new binary variable for grid lines.

[0057] Furthermore, the comprehensive loss calculation module is used to calculate according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data to obtain a comprehensive loss cost;

[0058] The comprehensive loss cost is obtained by calculating according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data, including:

[0059] Calculate according to the node data, the line data and the grid cost data to obtain the new grid investment cost;

[0060] Calculate according to the line data and the operation data to obtain the loss cost of the distribution network;

[0061] Calculating according to the node data, the line data and the operation data to obtain reliability loss costs;

[0062] Calculate according to the environmental pollution data and the operating data to obtain the environmental loss cost;

[0063] The comprehensive loss cost is calculated based on the new grid investment cost, the distribution network grid loss cost, the reliability loss cost, the environmental loss cost and the preset planning weight.

[0064] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, a distribution network planning method based on new energy access as described in the above embodiment is implemented.

[0065] Another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a distribution network planning method based on new energy access described in the above embodiment.

[0066] By implementing the present invention, at least the following beneficial effects are achieved:

[0067] The present invention provides a distribution network planning method, device, terminal equipment and storage medium based on new energy access. The method can obtain node data, line data, operation data, new energy basic data, grid cost data and environmental pollution data of a distribution network to be planned; construct a distribution network planning model according to the node data, the line data, the operation data and the new energy basic data; construct power grid flow constraints, power grid voltage constraints, branch current constraints and newly added grid line constraints of the distribution network planning model according to the node data, the line data, the operation data and the new energy basic data; calculate according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data to obtain a comprehensive loss cost; under the power grid flow constraints, the power grid voltage constraints, the branch current constraints and the newly added grid line constraints, with the goal of minimizing the comprehensive loss cost, solve the distribution network planning model to obtain distribution network optimization parameters; plan the distribution network to be planned according to the distribution network optimization parameters. Not only is the distribution network planning model solved under the constraints of power grid flow and power grid voltage, but also the distribution network planning model under the constraints of branch current and new grid line is comprehensively considered. At the same time, with the goal of minimizing the comprehensive loss cost when new energy is connected, the planning objectives when new energy is connected are considered to solve the distribution network planning model, ensuring the applicability of the distribution network planning method in actual operation; the distribution network optimization parameters are solved under multiple constraints and multiple planning objectives, effectively reducing the comprehensive loss cost of the distribution network, thereby more reasonably planning the distribution network structure and improving the power supply reliability of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 It is a flow chart of a distribution network planning method based on new energy access provided by an embodiment of the present invention;

[0069] Figure 2 It is a structural schematic diagram of a distribution network planning device based on new energy access provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0070] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0071] See also Figure 1 , is a flow chart of a distribution network planning method based on new energy access provided by an embodiment of the present invention, including:

[0072] S1. Obtain node data, line data, operation data, new energy basic data, grid cost data and environmental pollution data of the distribution network to be planned;

[0073] S2. Constructing a distribution network planning model according to the node data, the line data, the operation data and the new energy basic data;

[0074] S3, constructing the power grid flow constraints, power grid voltage constraints, branch current constraints and newly added grid line constraints of the distribution network planning model according to the node data, the line data, the operation data and the new energy basic data;

[0075] S4, calculating according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data to obtain a comprehensive loss cost;

[0076] S5. Under the constraints of the power grid flow, power grid voltage, branch current and newly added grid line, the distribution network planning model is solved with the goal of minimizing the comprehensive loss cost to obtain the distribution network optimization parameters;

[0077] S6. Plan the distribution network to be planned according to the distribution network optimization parameters.

[0078] Specifically, the node data include: node active power, node reactive power, node active load, node reactive load, node voltage, node minimum voltage, node maximum voltage and number of load nodes; the line data include: branch conductance, branch admittance, branch power factor angle and branch maximum current; the operation data include: the upper limit of the number of new energy grid lines, the upper limit of new grid lines in distribution network planning, the set of candidate lines for new grid lines, the set of candidate nodes for new grid lines, the average downtime and the average failure rate; the new energy basic data include: the active power of new energy injected nodes, the reactive power of new energy injected nodes and the service life of new energy equipment; the grid cost data include: the annual equivalent construction investment cost of the new grid, the annual equivalent coefficient of the supporting power grid project construction investment cost, the discount rate, the service life of the new grid line equipment, the fixed installation cost, the operation and maintenance cost and the unit distribution network loss cost; the environmental pollution data include: the type of pollutants, the amount of pollutant emissions, the environmental value of pollutants and the order of magnitude of pollutant fines.

[0079] In a preferred embodiment of the present invention, the node data, line data, operation data, new energy basic data, grid cost data and environmental pollution data of the distribution network to be planned are first obtained; then, according to the node data, line data, operation data and new energy basic data, a distribution network planning model is constructed; then, according to the node data, line data, operation data and new energy basic data, the grid flow constraints, grid voltage constraints, branch current constraints and newly added grid line constraints of the distribution network planning model are constructed; according to the node data, line data, operation data, branch current constraints and new energy basic data, the comprehensive loss cost is calculated; then, under the grid flow constraints, grid voltage constraints, branch current constraints and newly added grid line constraints, the distribution network planning model is solved with the goal of minimizing the comprehensive loss cost, and the distribution network optimization parameters are obtained; finally, the distribution network to be planned is planned according to the distribution network optimization parameters. Not only the impact of the access of new energy to the grid is considered, but also the distribution network target grid planning is combined, which not only guarantees the access of new energy, but also makes the grid planning sufficiently standardized.

[0080] Preferably, the power grid flow constraint is:

[0081]

[0082] Among them, P i is the active power injected into node i; P DGi is the active power of the new energy source injected into node i; P loadi is the active load of node i; Q i is the reactive power injected into node i; Q DGi is the reactive power of the new energy source injected into node i; Q loadi is the reactive load of node i; x i is the node voltage of the first node i of the branch; x j is the node voltage at the end node j of the branch; ε ij is the branch conductance of the corresponding branch ij; γ ij is the branch susceptance corresponding to branch ij; φ ij is the power factor angle of the first and last nodes ij branch;

[0083] The grid voltage constraint is:

[0084]

[0085] in, is the voltage of node i; is the minimum voltage of node i; is the maximum voltage of node i;

[0086] The branch current constraint is:

[0087] 0≤η j ≤η jmax ;

[0088] Among them, η j is the current on branch j; η jmax is the maximum current allowed to flow through branch j;

[0089] The newly added grid line constraints are:

[0090]

[0091] Among them, N DG-line,max The upper limit of the number of new grid lines connected to each new energy source; N line,max The total upper limit of the planned new grid lines in the target grid of the distribution network; Ω line is the candidate line set for adding new grid lines; Ω DG is the candidate node set for adding new grid lines; β l A new binary variable for grid lines.

[0092] Specifically, after the new energy is connected to the grid, it will affect the grid flow during operation, so the grid flow constraints need to be considered in the distribution network planning model. After the new energy is connected to the grid, it will affect the grid voltage during operation, so the grid voltage constraints need to be considered in the distribution network planning model. After the new energy is connected to the grid, it will affect the current of the grid-connected branch during operation, so the grid branch current constraints need to be considered in the distribution network planning model. The access of new energy to the grid requires the addition of supporting lines to the grid. At the same time, the construction requirements of the target grid need to be considered during the planning process, so the newly added grid lines should be subject to the newly added grid line constraints. β l is a new binary variable for grid lines, β l The value 1 indicates the construction of a new grid line l, β l A value of 0 means no new grid line l will be constructed.

[0093] Specifically, the comprehensive loss cost is obtained by calculating according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data, including:

[0094] Calculate according to the node data, the line data and the grid cost data to obtain the new grid investment cost;

[0095] Calculate according to the line data and the operation data to obtain the loss cost of the distribution network;

[0096] Calculating according to the node data, the line data and the operation data to obtain reliability loss costs;

[0097] Calculate according to the environmental pollution data and the operating data to obtain the environmental loss cost;

[0098] The comprehensive loss cost is calculated based on the new grid investment cost, the distribution network grid loss cost, the reliability loss cost, the environmental loss cost and the preset planning weight.

[0099] In a preferred embodiment of the present invention, the new grid investment cost is obtained by calculating according to the node data, the line data and the grid cost data:

[0100]

[0101] Where y1 is the annual equivalent construction investment cost of the construction of new grid lines and new energy power supply supporting power grid projects, that is, the new grid investment cost; μ line μ is the annual equivalent coefficient of the investment cost of the supporting power grid project for the newly added grid lines; DG is the annual equivalent coefficient of the investment cost of the new energy power supply supporting power grid project construction; δ is the discount rate; T line T is the service life of the equipment of the newly added grid line; DG The service life of the equipment for new energy power supply; l To add a new grid line 0-1 variable, β l The value 1 / 0 indicates construction / no construction of new grid lines l; β DGi is the new energy source 0-1 variable, β DGi The value 1 / 0 indicates that node i is configured / not configured with new energy power supply; L l is the length of the newly added grid line l; S DGi Configure the capacity of new energy power source for node i; a0 is the fixed installation cost related to the number of new grid lines; b0 is the fixed installation cost related to the number of new energy power source construction and installation, including land development, transportation and installation, support tower and other costs; a1 is the installation cost proportional to the line length; b1 is the installation cost proportional to the capacity of new energy power source, including construction materials, operation and maintenance costs; Ω line It is a set of candidate lines for newly added grid lines and new energy power sources; Ω DG It is a set of candidate nodes for adding new grid lines and new energy power sources.

[0102] The grid loss cost of the distribution network is obtained by calculating according to the line data and the operation data:

[0103]

[0104] Where y2 is the loss cost of the distribution network; F is the unit distribution network loss cost; m is the total number of distribution network feeders; G i is the active power loss of the ith feeder; H max is the maximum load distribution network loss time.

[0105] The reliability loss cost is calculated based on the node data, the line data and the operation data:

[0106]

[0107] Where y3 is the reliability loss cost; s is the number of load nodes; s' is the total number of branches; I i is the load at load point i; K i (L j ) indicates the duration is L j The branch j causes the loss of the user connected to the load point i; L j is the average outage duration of branch j; O j is the average failure rate of branch j.

[0108] The environmental loss cost is calculated based on the environmental pollution data and the operating data:

[0109]

[0110] Where y4 is the environmental loss cost; P max is the annual utilization hours of the maximum load; u is the type of pollutant; v i is the emission of the i-th pollutant; c i1 is the environmental value of the i-th pollutant; c i2 is the fine magnitude of the i-th pollutant; n is the total number of distributed renewable energy sources connected to the distribution network; δ j is the new energy capacity installed at the jth node.

[0111] Finally, the comprehensive loss cost is calculated based on the new grid investment cost, the distribution network grid loss cost, the reliability loss cost, the environmental loss cost and the preset planning weight.

[0112] Specifically, the planning weights include: new grid investment cost weights, distribution network grid loss cost weights, reliability loss cost weights, and environmental loss cost weights;

[0113] The weight of the new grid investment cost, the weight of the distribution network grid loss cost, the weight of the reliability loss cost and the weight of the environmental loss cost meet the following constraints:

[0114]

[0115] Among them, ω1 is the weight of the new grid investment cost, ω2 is the weight of the distribution network grid loss cost, ω3 is the weight of the reliability loss cost; ω4 is the weight of the environmental loss cost.

[0116] In a preferred embodiment of the present invention, the comprehensive loss cost Y: Y = (ω1y1+ω2y2+ω3y3+ω4y4), with the goal of minimizing the comprehensive loss cost, that is, the objective function is:

[0117] minY=min(ω1y 1min +ω2y 2min +ω3y 3min +ω4y 4min ).

[0118] Preferably, the distribution network optimization parameters include: new energy access capacity, new energy access location, number of new distribution lines added to the distribution network, and location of new distribution lines;

[0119] Planning the distribution network to be planned according to the distribution network optimization parameters includes:

[0120] Generate a new energy access plan for the distribution network to be planned according to the new energy access capacity and the new energy access location;

[0121] Generate a new grid scheme for the distribution network to be planned according to the number of new distribution lines in the distribution network and the locations of the new distribution lines;

[0122] According to the new energy access plan and the new grid plan, the planned distribution network is planned.

[0123] In a preferred embodiment of the present invention, the process solution can be realized by building a simulation program in a computer using the calculation formula in the distribution network planning model. For another example, the foraging behavior of a flock of birds can be simulated by a particle swarm algorithm. In the planning objectives, four indicators, namely, the investment cost of the new grid, the loss cost of the distribution network grid, the reliability loss cost, and the environmental loss cost, are considered for planning. This not only takes into account the economic feasibility of the investment, but also the environmental friendliness of the investment, which is more in line with the construction direction of the new power system. At the same time, multiple planning objectives are taken into consideration, and the evaluation indicators of the planning model are relatively comprehensive, but the planning process involved is relatively small, and the planning cost is low.

[0124] By implementing this embodiment, the node data, line data, operation data, new energy basic data, grid cost data and environmental pollution data of the distribution network to be planned can be obtained; a distribution network planning model is constructed according to the node data, the line data, the operation data and the new energy basic data; the power grid flow constraints, power grid voltage constraints, branch current constraints and newly added grid line constraints of the distribution network planning model are constructed according to the node data, the line data, the operation data and the new energy basic data; the comprehensive loss cost is calculated according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data; under the power grid flow constraints, the power grid voltage constraints, the branch current constraints and the newly added grid line constraints, the distribution network planning model is solved with the goal of minimizing the comprehensive loss cost to obtain the distribution network optimization parameters; the distribution network to be planned is planned according to the distribution network optimization parameters. Not only is the distribution network planning model solved under the constraints of power grid flow and power grid voltage, but also the distribution network planning model under the constraints of branch current and new grid line is comprehensively considered. At the same time, with the goal of minimizing the comprehensive loss cost when new energy is connected, the planning objectives when new energy is connected are considered to solve the distribution network planning model, ensuring the applicability of the distribution network planning method in actual operation; the distribution network optimization parameters are solved under multiple constraints and multiple planning objectives, effectively reducing the comprehensive loss cost of the distribution network, thereby more reasonably planning the distribution network structure and improving the power supply reliability of the power grid.

[0125] See also Figure 2 , is a schematic diagram of a structure of a distribution network planning device based on new energy access provided by an embodiment of the present invention, including:

[0126] The distribution network data acquisition module is used to obtain the node data, line data, operation data, new energy basic data, grid cost data and environmental pollution data of the distribution network to be planned;

[0127] A distribution network model building module, used to build a distribution network planning model according to the node data, the line data, the operation data and the new energy basic data;

[0128] A distribution network constraint construction module, used to construct the power grid flow constraint, power grid voltage constraint, branch current constraint and newly added grid line constraint of the distribution network planning model according to the node data, the line data, the operation data and the new energy basic data;

[0129] A comprehensive loss calculation module, used to calculate according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data to obtain a comprehensive loss cost;

[0130] A distribution network model solving module is used to solve the distribution network planning model under the constraints of the power grid flow, power grid voltage, branch current and newly added grid line, with the goal of minimizing the comprehensive loss cost, and obtain the distribution network optimization parameters;

[0131] The distribution network planning module is used to plan the distribution network to be planned according to the distribution network optimization parameters.

[0132] Specifically, the power grid flow constraint is:

[0133]

[0134] Among them, P i is the active power injected into node i; P DGi is the active power of the new energy source injected into node i; P loadi is the active load of node i; Q i is the reactive power injected into node i; Q DGi is the reactive power of the new energy source injected into node i; Q loadi is the reactive load of node i; x i is the node voltage of the first node i of the branch; x j is the node voltage at the end node j of the branch; ε ij is the branch conductance of the corresponding branch ij; γ ij is the branch susceptance corresponding to branch ij; φ ij is the power factor angle of the first and last nodes ij branch;

[0135] The grid voltage constraint is:

[0136]

[0137] in, is the voltage of node i; is the minimum voltage of node i; is the maximum voltage of node i;

[0138] The branch current constraint is:

[0139] 0≤η j ≤η jmax ;

[0140] Among them, η j is the current on branch j; η jmax is the maximum current allowed to flow through branch j;

[0141] The newly added grid line constraints are:

[0142]

[0143] Among them, N DG-line,max The upper limit of the number of new grid lines connected to each new energy source; N line,max The total upper limit of the planned new grid lines in the target grid of the distribution network; Ω line is the candidate line set for adding new grid lines; Ω DG is the candidate node set for adding new grid lines; β l A new binary variable for grid lines.

[0144] Schematically, the comprehensive loss calculation module is used to calculate according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data to obtain the comprehensive loss cost;

[0145] The comprehensive loss cost is obtained by calculating according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data, including:

[0146] Calculate according to the node data, the line data and the grid cost data to obtain the new grid investment cost;

[0147] Calculate according to the line data and the operation data to obtain the loss cost of the distribution network;

[0148] Calculating according to the node data, the line data and the operation data to obtain reliability loss costs;

[0149] Calculate according to the environmental pollution data and the operating data to obtain the environmental loss cost;

[0150] The comprehensive loss cost is calculated based on the new grid investment cost, the distribution network grid loss cost, the reliability loss cost, the environmental loss cost and the preset planning weight.

[0151] The present invention provides a distribution network planning device based on new energy access. According to a distribution network data acquisition module, node data, line data, operation data, new energy basic data, grid cost data and environmental pollution data of a distribution network to be planned are acquired; in a distribution network model construction module, a distribution network planning model is constructed according to the node data, the line data, the operation data and the new energy basic data; in a distribution network constraint construction module, a power grid flow constraint, a power grid voltage constraint, a branch current constraint and a newly added grid line constraint of the distribution network planning model are constructed according to the node data, the line data, the operation data and the new energy basic data; in a comprehensive loss calculation module, calculation is performed according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data to obtain a comprehensive loss cost; through a distribution network model solving module, under the power grid flow constraint, the power grid voltage constraint, the branch current constraint and the newly added grid line constraint, the distribution network planning model is solved with the goal of minimizing the comprehensive loss cost to obtain distribution network optimization parameters; finally, in a distribution network planning module, the distribution network to be planned is planned according to the distribution network optimization parameters. Not only is the distribution network planning model solved under the constraints of power grid flow and power grid voltage, but also the distribution network planning model under the constraints of branch current and new grid line is comprehensively considered. At the same time, with the goal of minimizing the comprehensive loss cost when new energy is connected, the planning objectives when new energy is connected are considered to solve the distribution network planning model, ensuring the applicability of the distribution network planning method in actual operation; the distribution network optimization parameters are solved under multiple constraints and multiple planning objectives, effectively reducing the comprehensive loss cost of the distribution network, thereby more reasonably planning the distribution network structure and improving the power supply reliability of the power grid.

[0152] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0153] Those skilled in the art can clearly understand that, for the sake of convenience and brevity, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0154] Another embodiment of the present invention further provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, a distribution network planning method based on new energy access as described in the above embodiment is implemented. The terminal device may be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The terminal device may include, but is not limited to, a processor and a memory.

[0155] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire terminal device.

[0156] The memory can be used to store the computer program, and the processor realizes various functions of the terminal device by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device or other volatile solid-state storage device.

[0157] Another embodiment of the present invention provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a distribution network planning method based on new energy access described in the above embodiment.

[0158] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium.

[0159] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A distribution network planning method based on new energy access, characterized in that: include: Obtain node data, line data, operation data, new energy basic data, grid cost data and environmental pollution data of the distribution network to be planned; Constructing a distribution network planning model according to the node data, the line data, the operation data and the new energy basic data; Constructing the power grid flow constraints, power grid voltage constraints, branch current constraints and newly added grid line constraints of the distribution network planning model according to the node data, the line data, the operation data and the new energy basic data; Calculate according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data to obtain a comprehensive loss cost; Under the constraints of the power grid flow, power grid voltage, branch current and newly added grid line, the distribution network planning model is solved with the goal of minimizing the comprehensive loss cost to obtain the distribution network optimization parameters; The distribution network to be planned is planned according to the distribution network optimization parameters.

2. A distribution network planning method based on new energy access as claimed in claim 1, characterized in that: The power grid flow constraint is: Among them, P i is the active power injected into node i; P DGi is the active power of the new energy source injected into node i; P loadi is the active load of node i; Q i is the reactive power injected into node i; Q DGi is the reactive power of the new energy source injected into node i; Q loadi is the reactive load of node i; x i is the node voltage of the first node i of the branch; x j is the node voltage at the end node j of the branch; ε ij is the branch conductance of the corresponding branch ij; γ ij is the branch susceptance corresponding to branch ij; φ ij is the power factor angle of the first and last nodes ij branch; The grid voltage constraint is: in, is the voltage of node i; is the minimum voltage of node i; is the maximum voltage of node i; The branch current constraint is: 0≤η j ≤η jmax ; Among them, η j is the current on branch j; η jmax is the maximum current allowed to flow through branch j; The newly added grid line constraints are: Among them, N DG-line,max The upper limit of the number of new grid lines connected to each new energy source; N line,max The total upper limit of the planned new grid lines in the target grid of the distribution network; Ω line is the candidate line set for adding new grid lines; Ω DG is the candidate node set for adding new grid lines; l A new binary variable for grid lines.

3. A distribution network planning method based on new energy access as claimed in claim 1, characterized in that: The comprehensive loss cost is obtained by calculating according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data, including: Calculate according to the node data, the line data and the grid cost data to obtain the new grid investment cost; Calculate according to the line data and the operation data to obtain the loss cost of the distribution network; Calculating according to the node data, the line data and the operation data to obtain reliability loss costs; Calculate according to the environmental pollution data and the operating data to obtain the environmental loss cost; The comprehensive loss cost is calculated based on the new grid investment cost, the distribution network grid loss cost, the reliability loss cost, the environmental loss cost and the preset planning weight.

4. A distribution network planning method based on new energy access as claimed in claim 3, characterized in that: The planning weights include: new grid investment cost weights, distribution network grid loss cost weights, reliability loss cost weights, and environmental loss cost weights; The weight of the new grid investment cost, the weight of the distribution network grid loss cost, the weight of the reliability loss cost and the weight of the environmental loss cost meet the following constraints: Among them, ω1 is the weight of the new grid investment cost, ω2 is the weight of the distribution network grid loss cost, ω3 is the weight of the reliability loss cost; ω4 is the weight of the environmental loss cost.

5. A distribution network planning method based on new energy access as claimed in claim 1, characterized in that: The distribution network optimization parameters include: new energy access capacity, new energy access location, number of new distribution lines added to the distribution network, and location of new distribution lines; Planning the distribution network to be planned according to the distribution network optimization parameters includes: Generate a new energy access plan for the distribution network to be planned according to the new energy access capacity and the new energy access location; Generate a new grid scheme for the distribution network to be planned according to the number of new distribution lines in the distribution network and the locations of the new distribution lines; According to the new energy access plan and the new grid plan, the planned distribution network is planned.

6. A distribution network planning device based on new energy access, characterized in that: include: The distribution network data acquisition module is used to obtain the node data, line data, operation data, new energy basic data, grid cost data and environmental pollution data of the distribution network to be planned; A distribution network model building module, used to build a distribution network planning model according to the node data, the line data, the operation data and the new energy basic data; A distribution network constraint construction module, used to construct the power grid flow constraint, power grid voltage constraint, branch current constraint and newly added grid line constraint of the distribution network planning model according to the node data, the line data, the operation data and the new energy basic data; A comprehensive loss calculation module, used to calculate according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data to obtain a comprehensive loss cost; A distribution network model solving module is used to solve the distribution network planning model under the constraints of the power grid flow, power grid voltage, branch current and newly added grid line, with the goal of minimizing the comprehensive loss cost, and obtain the distribution network optimization parameters; The distribution network planning module is used to plan the distribution network to be planned according to the distribution network optimization parameters.

7. A distribution network planning device based on new energy access as claimed in claim 6, characterized in that: The power grid flow constraint is: Among them, P i is the active power injected into node i; P DGi is the active power of the new energy source injected into node i; P loadi is the active load of node i; Q i is the reactive power injected into node i; Q DGi is the reactive power of the new energy source injected into node i; Q loadi is the reactive load of node i; x i is the node voltage of the first node i of the branch; x j is the node voltage at the end node j of the branch; ε ij is the branch conductance of the corresponding branch ij; γ ij is the branch susceptance corresponding to branch ij; φ ij is the power factor angle of the first and last nodes ij branch; The grid voltage constraint is: in, is the voltage of node i; is the minimum voltage of node i; is the maximum voltage of node i; The branch current constraint is: 0≤η j ≤η jmax ; Among them, η j is the current on branch j; η jmax is the maximum current allowed to flow through branch j; The newly added grid line constraints are: Among them, N DG-line,max The upper limit of the number of new grid lines connected to each new energy source; N line,max The total upper limit of the planned new grid lines in the target grid of the distribution network; Ω line is the candidate line set for adding new grid lines; Ω DG is the candidate node set for adding new grid lines; l A new binary variable for grid lines.

8. A distribution network planning device based on new energy access as claimed in claim 6, characterized in that: The comprehensive loss calculation module is used to calculate according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data to obtain the comprehensive loss cost; The comprehensive loss cost is obtained by calculating according to the node data, the line data, the operation data, the grid cost data and the environmental pollution data, including: Calculate according to the node data, the line data and the grid cost data to obtain the new grid investment cost; Calculate according to the line data and the operation data to obtain the loss cost of the distribution network; Calculating according to the node data, the line data and the operation data to obtain reliability loss costs; Calculate according to the environmental pollution data and the operating data to obtain the environmental loss cost; The comprehensive loss cost is calculated based on the new grid investment cost, the distribution network grid loss cost, the reliability loss cost, the environmental loss cost and the preset planning weight.

9. A terminal device, characterized in that: It comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements a distribution network planning method based on new energy access as described in any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute a distribution network planning method based on new energy access as described in any one of claims 1 to 5.

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