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Erschienen in:
17.01.2019 | Original Article
The comprehensive evaluation model of power supply capacity for regional-oriented distribution network
Erschienen in: Neural Computing and Applications | Ausgabe 9/2020
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Abstract
With the rapid increase in power loads, power supply capacity plays a significant role in power distribution network. However, attributing to the tremendous differences in regional economic development and diversified characteristics of power distribution network, power supply capacity should be evaluated based on regional differences to better promote the efficiency of distribution network. In this paper, the evaluated indexes including supply capacity reserve, supply capacity margin and supply capacity balance are defined, and the evaluated models for single and inter-layer equipment are established. Furthermore, a case study with ten different regions is employed to validate the proposed models. Results illustrate that considering the effects of “N-x” criterion, network structures and overload features, the proposed comprehensive models could quantitatively evaluate the supply capacity and offer better supports for planning and operation of large-scale power distribution network.