Power distribution network reactive power optimization method giving consideration to power randomness

Abstract

The invention proposes a power distribution network reactive power optimization method giving consideration to power randomness, and belongs to the technical field of power system operation and control. The method comprises the steps: firstly establishing a power distribution network reactive voltage optimization model composed of a target function and a constraint condition; secondly transforminga model constraint condition, and collecting the set of prediction error values of the active load of all nodes in the distribution network at each moment and a distributed supply power prediction error value set, constructing a probability distribution set of corresponding uncertainties according to statistical information, constructing a chance constraint including the transmission power and node voltages, and converting the chance constraint into a deterministic linear constraint by using the convex relaxation; finally solving the model through a convex programming algorithm, and obtaininga power distribution network reactive voltage optimization result. The method achieves the solving of the power distribution network reactive voltage optimization problem during the consideration ofthe power randomness, and the result is higher in credibility and robustness. The method can achieve the quick solving for a large-scale complex power distribution network.

Description

technical field [0001] The invention belongs to the technical field of power system operation and control, and in particular relates to a method for optimizing reactive voltage of a distribution network considering power randomness. Background technique [0002] In order to deal with the technical problems caused by the large-scale access of photovoltaic-based distributed power in the distribution network and reduce the daily operation network loss of the distribution network, the controllable reactive power compensation device and distributed power in the distribution network are used Optimizing the reactive power flow and voltage distribution of the distribution network to achieve the goal of minimizing the network loss of the distribution network. [0003] The reactive power and voltage optimization of the distribution network needs to be based on the prediction of the future power of the distributed generation. Because the power of the distributed generation is affected ...

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Problems solved by technology

[0004] However, the existing deterministic reactive power and voltage optimization methods do not consider the existence of the above uncertainties, and only the predicted values ​​of distributed power and load are used in the optimization model

On the other hand, the traditional reactive voltage optimization method based on chance constraints faces two major problems in practical applications: (1) it needs an accurate probability density function of random variables, and most of the functions are difficult to obtain in reality; (2) the The stochastic optimization model established by the method is basically based on the sampling scene method, and the calculation amount is too large

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