Distributed new energy access power distribution network interval affine power flow dynamic optimization method
A distributed new energy, dynamic optimization technology, applied in wind power generation, AC network with the same frequency from different sources, photovoltaic power generation, etc.
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Embodiment 1
[0096] figure 1 It is the flow chart of the proposed multi-time interval affine power flow dynamic optimization method for distributed new energy access to the grid. figure 1 Among them, a multi-time interval affine power flow dynamic optimization method for distributed new energy access to the power grid provided by the present invention includes:
[0097] S1: Based on historical data such as wind power and photovoltaics, establish a random model of wind power and photovoltaic output, and use the Monte Carlo method to predict new energy probability-interval power
[0098] S2: In order to facilitate power flow expression, based on affine calculation technology, a new energy probability interval-affine output model is established;
[0099] S3: Based on the Dist Flow equation and Tailor expansion equation, establish an affine power flow model for new energy access to the distribution network;
[0100] S4: Aiming at the maximum or minimum of a specific electrical quantity (such...
Embodiment 2
[0198] figure 2 It is a schematic diagram of the extended IEEE 37 node system proposed in this paper. Taking this as an example, the present invention provides an affine power flow dynamic optimization method for distributed new energy access grid intervals, including:
[0199] S1: Based on historical data such as wind power and photovoltaics, establish a random model of wind power and photovoltaic output, and use the Monte Carlo method to predict new energy probability-interval power;
[0200] Tested with the extended IEEE 37 node system, the structure diagram is attached figure 2 , and choose wind power and photovoltaics as the main distributed new energy. If there is no special instruction, the load variation range of each node is set to ±10%. According to the actual wind power and photovoltaic historical data, it will be reduced in proportion, so that the proportion of wind power and photovoltaic to the total active load is 20%, 25% respectively. %, both the wind turbi...
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