Hierarchical planning method for a power distribution network containing a distributed power supply

A technology of distributed power supply and hierarchical planning, applied in resources, instruments, computing models, etc., can solve problems such as low accuracy, lack of models, and difficult solutions

Pending Publication Date: 2019-06-11
LVLIANG POWER SUPPLY COMPANY STATE GRID SHANXI ELECTRIC POWER +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are few literatures that combine hierarchical planning with DG capacity allocation, la

Method used

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  • Hierarchical planning method for a power distribution network containing a distributed power supply
  • Hierarchical planning method for a power distribution network containing a distributed power supply
  • Hierarchical planning method for a power distribution network containing a distributed power supply

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Experimental program
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Embodiment 1

[0101] The method is verified based on the IEEE33 node system. The initial network structure is as Figure 6 Shown: The solid line is the existing branch, the dotted line is the branch that can be built, the total active load of the system is 3715kW, and the total reactive load is 2300kVar. The DG installation nodes to be selected are 1, 4, 5, 6, 7, 8, 10, 12, 18, 20, 21, 23, 25, 28, and 30. The PSCO algorithm parameters are set as follows: the maximum number of iterations is 100, the population size is 50, and the learning factor C 1 =C 2 = 1, the maximum weight ω max = 1.2, minimum weight ω min =0.5, annealing constant σ=0.6.

[0102] The planning parameters involved in the objective function are as follows: fixed investment annual average cost conversion coefficient β 1 = 0.131, ROI λ 1 =0.5, annual operation and maintenance rateγ 1 =0.655; Conversion coefficient β of fixed investment annual average cost of DG construction 2 = 0.138, return on investment λ 2 =0.5,...

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Abstract

The invention discloses a hierarchical planning method for a power distribution network containing a distributed power supply, and belongs to the field of power distribution network planning of a power system. The implementation method comprises the following steps of: obtaining a target object; establishing a multi-objective optimization model by taking the annual minimum comprehensive investmentoperation cost of the power distribution network as an objective, converting the multi-objective optimization model into a hierarchical planning model, establishing an objective function by taking the annual minimum comprehensive investment operation cost of a line as an objective in upper layer planning, solving a line decision variable, obtaining an optimal grid structure, and transmitting theoptimal grid structure to a lower layer; On the basis of the upper-layer net rack, the lower-layer planning establishes an objective function with the minimum sum of the annual average investment construction and operation maintenance cost of the distributed power supply DG, the line network loss cost, the power purchase cost from the upper-level network and the environmental pollution treatment cost avoided by accessing the DG; And solving the upper and lower layer models by using a PSCO optimization algorithm to obtain a final grid structure and DG access position and capacity configuration.The method has lower annual comprehensive economic cost and more stable system voltage level, and the power supply reliability can be improved.

Description

technical field [0001] The invention belongs to the field of power system distribution network planning, and in particular relates to a method for hierarchical planning of a distribution network system including distributed generation based on hybrid particle swarm optimization. Background technique [0002] With the exhaustion of traditional fossil energy and the emergence of serious environmental pollution problems such as high emissions of greenhouse gases and PM2. Distributed Generation (DG for short), which will have a certain impact on the planning and operation of the distribution network, increase the difficulty of network planning, and pose challenges to the reliability of distribution network operation. In recent years, the research on distribution network planning including DG has become a hot spot, and various algorithms such as genetic algorithm, cultural algorithm, particle swarm algorithm, etc. have been applied to power grid planning, and some research result...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06N3/00
Inventor 刘永强郑宁宁邵云峰马中静
Owner LVLIANG POWER SUPPLY COMPANY STATE GRID SHANXI ELECTRIC POWER
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