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Random analysis method of electric energy loss of distribution network considering uncertain factors

A technology of power loss and analysis method, which is applied in the field of distribution network and can solve problems such as pure power loss

Active Publication Date: 2019-06-21
XUZHOU NORMAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Currently used assessment methods require establishment of the topology of the network and also account for pure power losses

Method used

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  • Random analysis method of electric energy loss of distribution network considering uncertain factors
  • Random analysis method of electric energy loss of distribution network considering uncertain factors
  • Random analysis method of electric energy loss of distribution network considering uncertain factors

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Embodiment Construction

[0066] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be described in detail below.

[0067] A stochastic analysis method for distribution network power loss considering uncertain factors, comprising the following steps:

[0068] Starting from the general form of radial distribution network power problem, the input-output relational model formula is given;

[0069] y=g(x) (1)

[0070] L=h(y) (2)

[0071] Among them, x is the input volume of random sampling, x is obtained through Latin hypercube sampling, and x includes the input vector P of power injection g and Q g , and load power consumption P d and reactive power loss Q d , P g is the active power output by the power supply, Q g is the reactive power output by the power supply, g(x) is the power equation set describing the power balance, y is the output vector including the voltage amplitude V and the voltage phasor θ; L is the loss of the...

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Abstract

The invention discloses a random analysis method of an electric energy loss of a distribution network considering uncertain factors, related to the technical field of distribution network. A node power loss tracking method disclosed by the invention is used for quantifying the loss caused by a distributed power source in the distribution network; and a model built based on the node power loss tracking method is linear, therefore, the computation speed of big data samples is accelerated. A network loss analysis method provided by the invention not only considers nonlinear characteristics of thepower flow, but also considers a network topology structure and the load amount, and can simultaneously perform loss distribution on the load and the distributed power source; therefore, the accuracyof the network loss calculation is improved. The Latin hypercube sampling method achieves the same accuracy as a large number of random samples (50,000 times) through a very small number of samples (such as 300 times); therefore, the sampling workload is reduced.

Description

technical field [0001] The invention relates to the technical field of distribution networks, in particular to a random analysis method for distribution network power loss considering uncertain factors. Background technique [0002] With the liberalization of the electricity industry, the distribution network of the power supply system has also changed. Distributed generation (DGs), controllable load, and demand response (DR) strategies are being widely used in active distribution networks, which greatly improve the controllability and power supply efficiency of distribution networks. Although controllable energy sources (including home energy storage systems and gasoline generators) are usually complementary to uncontrollable energy sources, there is still uncertainty in the power output of DGs, which may have a large impact on quantifying distributed power losses. Therefore, quantifying the power loss of generators and loads to evaluate the reliability of the network and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/48H02J3/50
CPCY04S10/50
Inventor 李洪美
Owner XUZHOU NORMAL UNIVERSITY
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