Distribution Network Optimization Dispatch Method Based on Renewable Energy Scenario Reduction

Abstract

The scenario analysis method is an important method to adapt to the optimal dispatch of power systems with a high percentage of new energy sources. As a hot research topic in scenario analysis methods, the significance of scenario reduction is to describe many complex scenarios that feature a small number of representative scenarios to achieve the purpose of reducing computational complexity. In this paper, a distribution network optimization dispatch method based on the hierarchical clustering algorithm for scenario reduction is proposed considering wind power output and photovoltaic output. Firstly, the original scenes are quickly categorized because of the hierarchical clustering algorithm to derive typical scenarios. Secondly, an optimal dispatch model of the distribution network containing renewable energy is established. Finally, the arithmetic example is verified by using the IEEE33 distribution network, and the experimental results validate the validity and superiority of the proposed scenario reduction method.