An energy supervision for distributed storage systems to optimize the provision of multiple services

This paper presents an innovative supervisory control for distributed energy storage systems that is able to 1) perform day-ahead scheduling of storage services to maximize profitability while satisfying material and grid constraints and 2) identify the intraday schedule changes that are required in order to take various contingencies into account. Several case studies have been carried out to test this advanced energy supervision. The considered storage system is connected to a rural medium-voltage distribution feeder with a high penetration of wind turbines. This work has made possible to identify several technical, economic and regulatory issues that seem critical to the emergence of distributed energy storage systems.