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

Zuxun Xiong, Xinwei Shen, Hongbin Sun

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.

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

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.
Paper Structure (21 sections, 19 equations, 5 figures, 11 tables)

This paper contains 21 sections, 19 equations, 5 figures, 11 tables.

Table of Contents

  1. Introduction
  2. Two-Stage Robust IES Planning Model
  3. Planning Model Formulation
  4. Objective Function
  5. Constraints
  6. Uncertainty Set Formulation
  7. Solving Method
  8. Two-Stage Robust Planning Model Reformulation
  9. Outer Layer Algorithm
  10. Inner Layer Algorithm
  11. Case Study
  12. Case Condition
  13. Analysis on Planning Results
  14. Reliability Assessment
  15. Analysis on ESS
  16. ...and 6 more sections

Figures (5)

  • Figure 1: Flowchart of the solving algorithm.
  • Figure 2: Schematic of an industrial park.
  • Figure 3: The optimal operation scheme under the planning scheme of $\Gamma^D_n=6$ when the worst-case equipment contingency is considered.
  • Figure 4: Convergence process of the outer layer algorithm.
  • Figure 5: Computational time for subproblem reformulated by KKT and strong duality in each outer layer iteration.