Robustly Maximal Utilisation of Energy-Constrained Distributed Resources

TL;DR

This paper introduces an optimal dispatch policy for energy-constrained distributed resources in islanded power systems, maximizing system survival time without replenishing reserves, supported by a set-theoretic optimality proof.

Contribution

It proposes a novel dispatch policy that guarantees maximal survival time for energy-constrained systems and proves its optimality through a set-theoretic framework.

Findings

The policy achieves optimal survival time in simulations.

No other policy can outperform the proposed method.

Applicable to realistic energy management scenarios.

Abstract

We consider the problem of dispatching a fleet of distributed energy reserve devices to collectively meet a sequence of power requests over time. Under the restriction that reserves cannot be replenished, we aim to maximise the survival time of an energy-constrained islanded electrical system; and we discuss realistic scenarios in which this might be the ultimate goal of the grid operator. We present a policy that achieves this optimality, and generalise this into a set-theoretic result that implies there is no better policy available, regardless of the realised energy requirement scenario.