Robust Distributed Fixed-Time Economic Dispatch under Time-Varying Topology

TL;DR

This paper introduces a fully distributed economic dispatch algorithm that guarantees fixed-time convergence, efficiently managing power generation among DERs in a rapidly changing, distributed energy landscape.

Contribution

It presents a novel fixed-time convergent distributed algorithm for economic dispatch that handles load and capacity constraints in dynamic topologies.

Findings

Achieves fixed-time convergence for distributed economic dispatch.

Handles time-varying network topologies and constraints.

Ensures fast, reliable power allocation in renewable-rich grids.

Abstract

The centralized power generation infrastructure that defines the North American electric grid is slowly moving to the distributed architecture due to the explosion in use of renewable generation and distributed energy resources (DERs), such as residential solar, wind turbines and battery storage. Furthermore, variable pricing policies and profusion of flexible loads entail frequent and severe changes in power outputs required from the individual generation units, requiring fast availability of power allocation. To this end, a fixed-time convergent, fully distributed economic dispatch algorithm for scheduling optimal power generation among a set of DERs is proposed. The proposed algorithm incorporates both load balance and generation capacity constraints.