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Stochastic fuzzy power flow algorithm for distribution network based on two-stage stochastic fuzzy simulation

A distribution network and fuzzy model technology, applied in wind power generation, photovoltaic power generation, electrical components, etc., can solve problems such as power flow calculations that cannot cope with the randomness and ambiguity of power output, so as to facilitate planning and design and safe operation, and improve Computational Efficiency Effects

Inactive Publication Date: 2021-05-25
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

These two power flow calculations are usually discussed and calculated separately, and cannot cope with power flow calculations where randomness and ambiguity exist at the same time

Method used

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  • Stochastic fuzzy power flow algorithm for distribution network based on two-stage stochastic fuzzy simulation
  • Stochastic fuzzy power flow algorithm for distribution network based on two-stage stochastic fuzzy simulation
  • Stochastic fuzzy power flow algorithm for distribution network based on two-stage stochastic fuzzy simulation

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Embodiment

[0058]The stochastic fuzzy power flow algorithm for distribution network based on two-stage stochastic fuzzy simulation provided by the embodiment of the present invention specifically includes the following steps:

[0059] S1. Establish its random fuzzy model according to the historical data of wind speed, light intensity and load;

[0060] Among them, the wind speed and light intensity use the Weibull distribution function and the beta distribution function to fit their distribution laws, specifically:

[0061] According to the historical data fitting of the wind speed in a period of time, a two-parameter Weibull function is obtained, and the range of its parameters is used as the starting point reference value of the fuzzy number of the random fuzzy model of wind speed;

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Abstract

The invention discloses a random fuzzy power flow algorithm for distribution network based on two-stage random fuzzy simulation, which belongs to the field of power system uncertain power flow calculation. Effects of network state variables. Firstly, the stochastic fuzzy uncertainty model of wind power output, photovoltaic output and load demand is established, and then the distribution characteristic model of system voltage and power is obtained through two-stage stochastic fuzzy simulation technology. Among them, the stochastic simulation stage uses the multi-point estimation technology, and the fuzzy stage uses the fuzzy simulation technology, which improves the calculation efficiency of the algorithm. The invention can simultaneously consider the influence of random and fuzzy uncertainties in the system, can adapt to more system environments and is compatible with algorithms such as system stability control.

Description

technical field [0001] The invention belongs to the field of power flow calculation of new energy sources such as wind power and photovoltaics connected to a distribution network, and proposes a random fuzzy power flow algorithm for a distribution network based on a two-stage random fuzzy simulation. Background technique [0002] Power flow calculation is the basic calculation and foundation of power system stability calculation, safe operation and reliability planning. The result of power flow calculation will directly affect the planning, design and safe operation of power system. With the increasing number of uncertain new energy sources such as wind power and photovoltaics connected to the distribution network, it will bring uncertainty to the operation of the distribution network, especially the impact on the node voltage quality. These uncertainties usually contain both random and fuzzy characteristics. [0003] Taking into account the randomness of power output, ran...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/38H02J3/46
CPCH02J3/383H02J3/386H02J3/46H02J3/003H02J2203/20Y02E10/56Y02E10/76
Inventor 吴华仪董萍刘明波
Owner SOUTH CHINA UNIV OF TECH
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