Method for controlling voltage of photovoltaic power station based on neural networks

Abstract

The invention discloses a method for controlling the voltage of a photovoltaic power station based on neural networks. The control method comprises the following specific steps that step 1, a bus voltage active power neural network and a bus voltage reactive power neural network respectively output corresponding sensitivity coefficients of bus voltage active power and bus voltage reactive power toa model prediction controller; and step 2, the model prediction controller constructs a mathematical model of bus voltage and node injection active power and reactive power via the sensitivity coefficients of the bus voltage active power and the bus voltage reactive power issued by an upper-layer control architecture. According to the method for controlling the voltage of the photovoltaic power station based on the neural networks, the overvoltage and undervoltage problems of the bus of the photovoltaic power station can be solved, the practicability and expandability of the method based on sensitivity analysis are effectively improved, and the method has important significance for safe operation of a power distribution network and can promote energy internet construction, improve power service quality and optimize utilization of various resources.

Description

technical field [0001] The invention relates to the field of voltage regulation and control of a photovoltaic power station in a distribution network, in particular to a neural network-based voltage control method for a photovoltaic power station. Background technique [0002] With the continuous penetration of new energy in the distribution network, the traditional distribution network is gradually developing into an active distribution network. While solving the gradual depletion of fossil energy and improving environmental friendliness, it also contributes to the smooth operation of the distribution network. The photovoltaic power station is a very important component of the distribution network because of the aggregation of a large number of distributed photovoltaics, and it plays an irreplaceable role in supporting the stable operation of the entire distribution network. The intermittency and randomness of the photovoltaic power station will lead to fluctuations in the ...

AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is to provide a voltage control method for photovoltaic power plants based on neural networks to solve the existing voltage control methods for photovoltaic power plants based on neural networks proposed in the background technology above. In the actual operation of photovoltaic power plants, the topology of the system And the network parameters are not easy to obtain, so there are still many difficulties in the practical application of the method based on sensitivity analysis, and it is impossible to deal with the overvoltage and undervoltage problems of the busbar of the photovoltaic power station

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