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Planning method of distribution network based on fuzzy expected value model

A distribution network and expected value technology, applied in the direction of electrical components, circuit devices, AC network circuits, etc., can solve problems such as waste and loss, achieve the effects of reducing loss and waste, strong adaptability, and reducing compensation investment

Inactive Publication Date: 2010-06-30
杨毅 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional distribution network optimization planning method often does not consider the influence of uncertain factors, and its mathematically optimal scheme may not be optimal for the future situation, and may even require a large amount of compensation investment, resulting in losses and waste

Method used

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  • Planning method of distribution network based on fuzzy expected value model
  • Planning method of distribution network based on fuzzy expected value model
  • Planning method of distribution network based on fuzzy expected value model

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Embodiment 1

[0036] In order to verify the validity of the model proposed above, the model is applied to the distribution network planning of an actual planning area. The distribution network in this area is a 10kV distribution network. The initial network frame has 5 nodes and 4 branches. It is now to be expanded into a 10-node radial network. The initial network frame diagram is as attached image 3 Shown. The 0 node is a 35 / 10kV substation, and there is one 10MVA main transformer, which can be expanded to 2×10MVA in the long term. The load forecast results of each block's load center are shown in the following table.

[0037] Table 1 Node load forecast value

[0038]

[0039] The network parameters are shown in the table below.

[0040] Table 2 Network parameters

[0041]

[0042]

[0043] Assuming that the annual average cost coefficient of the fixed investment of the substation and the line is the same, both are α = 0.1, the annual maximum load loss h...

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Abstract

The invention particularly relates to a distribution network distribution method considering the uncertainty of a load prediction result, which takes the fuzzy expected value of the annual investment operating expenses of a distribution network, i.e. the fuzzy expected value of the annual investment expenses and the network loss expenses, as an optimized objective to evaluate the optimization benefits of the distribution network by the fuzzy expected value of the annual investment expenses of the distribution network and the fuzzy expected value of the annual compensation expenses. According to the known planning parameters of the distribution network and the initial net rack data of a planning region and various alternative option data, wherein a load prediction value is represented by fuzzy variables, various alternative options are represented by the variables of 0 to 1, a distribution network optimization planning model based on a fuzzy expected value model is established, and a genetic algorithm is adopted to solve. The invention can reduce the ex-post compensation expenses to a great extent and lowers losses and wastes. Meanwhile, the method considers various factors of the planning of the distribution network, wherein various factors comprise whether to establish a new transformer substation, whether to increase the capacity of the traditional transformer substation, whether to replace a circuit or establish a new circuit and the like.

Description

Technical field [0001] The present invention relates to a method for power distribution in a power grid, and in particular to a method for optimal planning of a distribution network that takes into account the uncertainty of load forecast results. Background technique [0002] The traditional distribution network optimization planning method is to establish a distribution network optimization planning model by selecting certain planning parameters to solve a deterministic plan that satisfies various constraints and optimizes economic indicators. However, there are a large number of uncertain planning parameters in the distribution network planning, such as the load forecast value, equipment investment time, interest rate, capital constraints, economic growth rate and environmental constraints in the planning area. Traditional distribution network optimization planning methods often do not consider the influence of uncertain factors. The mathematically optimal scheme may not be op...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00G06Q50/00G06Q50/06
CPCY04S10/545Y02E40/76Y04S10/58
Inventor 杨毅周冰
Owner 杨毅
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