An Uncertainty-Based Reconfiguration Method for Active Distribution Networks

Abstract

The present invention proposes an uncertainty-based active distribution network reconfiguration method, the method comprising: constructing a multi-objective reconfiguration model for network loss and cost minimization; adopting interval analytic hierarchy process to process the load parameters of the model; Combining the binary particle swarm optimization algorithm and the harmony search algorithm including DG, the optimal solution of the multi-objective reconstruction model is obtained; the optimal solution includes the switch state, the position of the DG and the output size.

Description

technical field [0001] The invention relates to a reconfiguration method, in particular to an uncertainty-based active distribution network reconfiguration method. Background technique [0002] Network reconfiguration is a process of switching and adjusting the disconnection status of tie switches and section switches in the network. Through network reconstruction, the new topology network can reduce network loss and improve operational reliability. [0003] During the reconstruction process, timing influence and environmental factors will inevitably lead to data uncertainty. These uncertainties are usually manifested as load fluctuations, fluctuations in equipment maintenance parameters, and so on. Taking load uncertainty as an example, in load forecasting, it is often necessary to use an uncertain value range to describe the load in a certain period of time in the future. Such a value is more loaded with objective needs. The prediction results obtained by using uncerta...

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Problems solved by technology

[0003] During the reconstruction process, timing influence and environmental factors will inevitably lead to uncertainty in the data

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