LAUSR

This paper proposes a risk-based approach for optimal allocation of automation devices in radial distribution networks with island operation of distributed generators considering load and generation uncertainty and variability. The presented approach is based on fuzzy sets concept, fuzzy mixed integer linear programming, and risk analysis. It enables obtaining a set of network automation plans and employs the maximal expected monetary value (max EMV) criterion to evaluate the risk and to select the best automation plan. In this way, the proposed approach provides a decision-maker with a means of determining the network automation plan which ensures the most effective response to load and generation uncertainty and variability and thus minimizes the risk of excessive interruption costs to customers (loads and generators).