KEYWORDS: Power supplies, Power grids, Control systems, Lithium, Mathematical optimization, Design and modelling, Transformers, Lutetium, Harmonic generation, Electronic components
Due to the randomness and volatility of the distributed power supply, the output of the distributed power supply will change greatly, so that the voltage of each node of the distribution network line may exceed the limit. In order to make all parts of the network meet the prescribed standards and improve the power supply quality of the grid-connected generation system of the distributed power supply, this paper proposes an optimization method of 10kv distribution network configuration connected to the distributed power supply. The optimal access quantity, capacity and grid-connected position of distributed power supply are obtained by taking the minimum network loss and the node voltage not exceeding the limit as optimization objectives. Finally, IEEE33 nodes are used for simulation analysis. After optimization, the active power loss of the system is reduced by 56.87%, and the reactive power loss is reduced by 59.04%, which maximizes the operation mode of the system, greatly reduces the network loss of the system, and improves the economic benefits of the system to a certain extent.
The traditional grey prediction model has the problem of low prediction accuracy in wind power generation prediction. In this paper, an improved Grey prediction model is proposed by smoothing the original data, and a combination prediction model is constructed by combining it with BP neural network. The example shows that the accuracy of the improved optimal combination forecasting model is higher than that of the single forecasting model, and is better than that of the traditional optimal combination forecasting model.
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