Feasibility of a self-healing grid - part II benefit models and analysis

Abstract

This two part paper presents a general methodology and scalable framework for business case analyses to assess the costs and benefits of implementing a high performance IT infrastructure for a self-healing grid. The infrastructure calls for a scalable and distributed architecture as well as geographically and temporally coordinated autonomous intelligent controls to address power system operating concerns and realize major improvements in reliability. The methodology exploits published industry statistics regarding physical and financial attributes and can be adapted for assessment of self-healing capabilities for any power system. This part-II addresses benefit models and feasibility of the infrastructure while part-I presented the methodology and cost models. The benefit models are justified analytically and validated against industry experiences. An empirical model is derived to facilitate the feasibility analysis. The analysis established the feasibility of the far reaching IT infrastructure