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Load flow calculation method of distributed power supply connection power grid

A distributed power supply and power flow calculation technology, applied in wind power generation, electrical components, circuit devices, etc., can solve the problems of large high-order moment errors of random variables, etc.

Active Publication Date: 2015-04-29
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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  • Application Information

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Problems solved by technology

Although the point estimation method has a fast calculation speed, the error of the high-order moment of the output random variable is large

Method used

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  • Load flow calculation method of distributed power supply connection power grid
  • Load flow calculation method of distributed power supply connection power grid
  • Load flow calculation method of distributed power supply connection power grid

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Embodiment Construction

[0097]A power flow calculation method for connecting distributed power sources to a power grid, comprising the following steps:

[0098] S1: read the initial data of the power system;

[0099] S2: Determine the number of sampling N and the dimension s of the input random variable;

[0100] S3: According to the following 3 steps, generate the s×N order sampling matrix to form the points (j=1,...,s; n=1,...) the steps are as follows:

[0101] S3-1: Express the N-1th integer in binary, that is, formula (1)

[0102] N-1=a R-1 a R-2 ···a 2 a 1 (1)

[0103] where a n ∈ Z b ,Z b ={0,1,...,b-1}, R satisfies b r The maximum value of r for ≤N;

[0104] S3-2: For N-1=a R-1 a R-2 ···a 2 a 1 Sort to get the sorted sequence [d 1 d 2 ···d n ···d R ] T is formula (2)

[0105] [ d 1 d 2 · · · ...

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Abstract

A load flow calculation method of a distributed power supply connection power grid comprises the steps that S1. initial data of an electric power system are read; S2. sampling frequency N and the dimensions s of input random variables are determined; S3. an s * N order sampling matrix is generated; S4. sampling frequency is initialized, namely n is equal to 1; S5. whether n is larger than the sampling frequency N is judged, and yes, the probability statistics results of the variables are directly output; otherwise, S6 is carried out; S6. a wind power and photovoltaic power generation output model is determined, and a load random model is determined; S7. a load flow calculation model is determined; S8. an optimized economic model is determined; S9. load flow calculation is carried out; S10. data such as voltage, branch power and power generation cost of a <n>th node group are determined; and S11. a next round of load flow calculation is carried out, t is equal to t + 1, and S5 is carried out. The probability distribution of the output random variables can be estimated well, the uncertainty problem in an electricity market can be well solved, debugging manpower and material resources are saved, and production cost is lowered.

Description

technical field [0001] The invention relates to the application field of power system distribution network, in particular to a power flow calculation method for distributed power sources connected to the power grid. Background technique [0002] Wind energy and solar energy are green and clean energies. Vigorously developing wind power and photovoltaics will help reduce fossil fuel consumption and reduce carbon emissions. But because of its intermittent and random characteristics, higher requirements are put forward for the operation control of power system. In recent years, my country's wind power and photovoltaic power generation have developed rapidly, the installed capacity has increased rapidly, and it is difficult to accommodate them. In the planning, design and operation control of the power system, the characteristics of wind farms and photovoltaic power stations should be considered more comprehensively, and their fluctuation laws can be mastered. Safety and economy...

Claims

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Application Information

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IPC IPC(8): H02J3/38H02J3/00
CPCH02J3/38H02J2203/20Y02E10/76
Inventor 沈鑫张林山曹敏闫永梅丁心志马红升
Owner YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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