Support Vector Machine-Based Fuzzy Inference Systems for Service Restoration Strategy in Micro-distribution Systems

This study proposes support vector machine-based fuzzy inference systems (SVMFISs) for service restoration strategy in micro-distribution systems (MDSs). An SVMFIS is a multi-layer decision-making model that is used to design a restoration system. In the first stage, it uses a based decision-making layer to evaluate information regarding on-off switching states and capacity of transfer load level by synthesizing the membership grades and weights, and in the second stage it makes a final decision to operate restoration switches. Using an IEEE 30-bus power system and micro-distribution systems, computer simulations are conducted to show the effectiveness of the proposed restoration system.