Unlocking the Potential of Flexible Energy Resources to Help Balance the Power Grid

TL;DR

This paper demonstrates how coordinated control of diverse flexible energy resources, considering physical constraints and market dynamics, can significantly enhance ancillary service provision to balance the power grid.

Contribution

It introduces a robust optimization framework for coordinated control of multiple resources with physical constraints, improving regulation capacity.

Findings

Aggregations of resources provide more regulation capacity than individual resources.

Explicit modeling of ramp-rate constraints improves control policy effectiveness.

Simulations confirm increased flexibility through resource coordination.

Abstract

Flexible energy resources can help balance the power grid by providing different types of ancillary services. However, the balancing potential of most types of resources is restricted by physical constraints such as the size of their energy buffer, limits on power-ramp rates, or control delays. Using the example of Secondary Frequency Regulation, this paper shows how the flexibility of various resources can be exploited more efficiently by considering multiple resources with complementary physical properties and controlling them in a coordinated way. To this end, optimal adjustable control policies are computed based on robust optimization. Our problem formulation takes into account power ramp-rate constraints explicitly, and accurately models the different timescales and lead times of the energy and reserve markets. Simulations demonstrate that aggregations of select resources can offer significantly more regulation capacity than the resources could provide individually.