Robust Survivability-Oriented Scheduling of Separable Mobile Energy Storage and Demand Response for Isolated Distribution Systems

TL;DR

This paper presents a robust scheduling strategy combining energy storage and demand response to improve the survivability of isolated distribution systems during extreme conditions, accounting for renewable uncertainty.

Contribution

It introduces a two-stage robust optimization model that jointly schedules energy storage and demand response for enhanced IDS survivability under uncertainty.

Findings

The proposed method effectively extends IDS survivability during outages.

Joint scheduling reduces fuel consumption and unmet demand.

Test results confirm the strategy's robustness and efficiency.

Abstract

Extreme circumstances in which a local distribution system is electrically isolated from the main power supply may not always be avoidable. Efforts must be made to keep the lights on for such an isolated distribution system (IDS) until reconnection to the main power source. In this paper, we propose a strategy to enhance IDS survivability utilizing the coordination of two flexible approaches, namely, separable energy storage systems (SMESSs), which construct non-wires links for energy transmission between the IDS and the external live power sources, and demand response (DR), which adjusts the internal electrical demand of the IDS to provide effective operating stress alleviation. Considering the uncertainty of renewable energy generation and loads, a two-stage robust optimization (RO) model involving the joint scheduling of these two approaches is constructed. The objective is to minimize the fuel consumption and the decreased and nonserved demand under the worst-case scenario to endow the IDS with extended survivability. Finally, test is conducted and the results demonstrate the effectiveness of the proposed method in enhancing the survivability of IDS.