Two-Stage Robust Planning Model for Park-Level Integrated Energy System Considering Uncertain Equipment Contingency

TL;DR

This paper introduces a two-stage robust planning model for park-level integrated energy systems that accounts for equipment contingencies and uncertainties, aiming to improve system reliability and optimize equipment selection.

Contribution

It develops a novel equipment contingency uncertainty set and applies a modified nested column-and-constraint generation algorithm for efficient robust planning.

Findings

The model enhances reliability compared to existing methods.

Energy storage systems significantly improve system robustness.

The approach effectively manages equipment contingencies within a day.

Abstract

To enhance the reliability of Integrated Energy Systems (IESs) and address the research gap in reliability-based planning methods, this paper proposes a two-stage robust planning model specifically for park-level IESs. The proposed planning model considers uncertainties like load demand fluctuations and equipment contingencies, and provides a reliable scheme of equipment selection and sizing for IES investors. Inspired by the unit commitment problem, we formulate an equipment contingency uncertainty set to accurately describe the potential equipment contingencies which happen and can be repaired within a day. Then, a modified nested column-and-constraint generation algorithm is applied to solve this two-stage robust planning model with integer recourse efficiently. In the case study, the role of energy storage system for IES reliability enhancement is analyzed in detail. Computational results demonstrate the advantage of the proposed model over other planning models in terms of improving reliability.