Distribution Network Reconfiguration with Multi-Objective Optimization of Distributed Generation based on Chance Constrained Programming

Zhaolong Zhang; Shaojie Wang; Peifeng Zhang

doi:10.6919/ICJE.202607_12(7).0006

Authors

Zhaolong Zhang Henan High Voltage Apparatus Research Institute Co, Ltd., Pingdingshan 467000, China
Shaojie Wang Henan High Voltage Apparatus Research Institute Co, Ltd., Pingdingshan 467000, China
Peifeng Zhang Henan High Voltage Apparatus Research Institute Co, Ltd., Pingdingshan 467000, China

DOI:

https://doi.org/10.6919/ICJE.202607_12(7).0006

Keywords:

Distribution Network Reconfiguration; Distributed Generation; Chance-Constrained Programming; NSGA-II.

Abstract

For distribution network with distributed generation, reducing the network loss has always been the focus of research. With increasing proportion of distributed generation in the distribution network, how to improve the power consumption capacity of the distribution network which consider the randomness of distributed generation is increasingly concerned. Firstly, A multi-objective optimization model for distribution network reconfiguration based on maximum consumption of distributed generation and minimum network loss is established in this paper, then, uncertainty of photovoltaic and wind power output are handled by chance-constrained programming model. Subsequently, an improved NSGA-II algorithm is proposed to solve the model which combined with a global Pareto set maintainance strategy. Finally, Taking IEEE 33-node system as an example to compare and analyze multi-objective and multi-scenario optimization. The results show that the model built in this paper can effectively improve the ability of consumption of distributed generation while reducing network losses.

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