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Gridding power distribution network frame planning method based on improved Minty algorithm

A grid planning and distribution network technology, applied in computing, electrical digital data processing, computer-aided design, etc., can solve problems such as difficult practical application of algorithms, infeasible solutions, easy to fall into local optimal solutions, etc., to achieve reduction The effects of planning costs, improving economic benefits, and improving computing efficiency

Active Publication Date: 2021-01-29
CHANGJI POWER SUPPLY COMPANY STATE GRID XINJIANGELECTRIC POWER
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Problems solved by technology

Mathematical optimization algorithms need to manually set complex parameters when dealing with radial constraints, and the parameters of different distribution networks are different, so the developed algorithm is difficult to apply in practice; artificial intelligence search algorithms will not only generate a large number of infeasible solutions, but also easily fall into local optimum untie

Method used

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  • Gridding power distribution network frame planning method based on improved Minty algorithm
  • Gridding power distribution network frame planning method based on improved Minty algorithm
  • Gridding power distribution network frame planning method based on improved Minty algorithm

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specific Embodiment

[0064] Specific embodiments: the following is a diagram generated with a 10KV busbar, loads, and possible line corridors in a certain grid in a certain planning area. The 10KV busbar is the power point, so it can be merged into the first vertex of the graph, such as figure 1 shown.

[0065] Step S2: The unified line model is JKLGYJ-240mm 2 , the unit length impedance is 0.125+j0.34 ohms, the unit length cost is 200,000 yuan / km, the maximum current is 553 amps, the total active load is 19061kW, the reactive load is 3230kvar, the planning period is 20 years, and the electricity price is 0.5 yuan / kWh, the discount rate is 20%, the annual maximum load equivalent time is 3230 hours, and the side (feeder section) data is shown in the following table:

[0066] serial number first vertex end vertex Length (km) Active power at the end vertex (kW) Final vertex reactive power (kvar) 1 1 2 0.7 631 97 2 2 3 0.637 77 14 3 3 4 0.665 502 90 ...

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Abstract

The invention discloses a gridding power distribution network frame planning method based on an improved Minty algorithm, relates to the technical field of power distribution network planning, and aims to generate all possible radial network structures in a grid through the improved Minty algorithm and obtain an optimal intra-grid network frame planning scheme after a tie line is determined. Therefore, power distribution network planning cost is effectively reduced, and economic benefits of power distribution network companies are improved. According to the method, a large number of sub-graphprocessing without the optimal planning scheme is effectively avoided by determining the edge which is certainly the branch, the calculation efficiency of grid structure planning in the grid based onthe Minty algorithm is improved, a plurality of planning schemes with low cost can be provided for planners to select, and the method is suitable for large-scale popularization and application in theindustry.

Description

technical field [0001] The invention relates to the technical field of distribution network planning, in particular to a gridded distribution network grid planning method based on an improved Minty algorithm. Background technique [0002] Under the condition that the planning area is divided into multiple grids, distribution network frame optimization planning refers to seeking an optimal set of decision variables (feeder path and model) under the premise of satisfying the constraints on user power supply and network operation. , to minimize the sum of investment and operating costs, where the network operating constraints include radial constraints, node voltage and feeder segment current constraints. [0003] The distribution network medium-voltage target grid planning problem has the characteristics of large scale, nonlinearity and discreteness. It is a large-scale mixed integer nonlinear programming problem. The current solution methods are mainly mathematical optimizati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/18G06F30/20G06Q50/06G06F113/04
CPCG06F30/18G06F30/20G06Q50/06G06F2113/04Y04S10/50
Inventor 杨俊纪云龙翟亮李言辉张俊娜
Owner CHANGJI POWER SUPPLY COMPANY STATE GRID XINJIANGELECTRIC POWER
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