Coordination Of Wind Farm And Pumped-Storage Hydro For A Self-Healing Power Grid

Keywords

Adaptive robust optimization; column-and-constraint generation; mixed-integer linear programming; pumped-storage hydro; self-healing; wind uncertainty

Abstract

The increasing penetration of wind energy poses great challenges to the operation of power systems in normal and emergency states. However, energy storage technologies can help accommodate wind power uncertainty and variability due to their flexible characteristics. This paper focuses on the restoration phase, and provides a novel coordination strategy of wind and pumped-storage hydro (PSH) units for a faster and reliable self-healing process. The wind-PSH assisted power system restoration is formulated as a two-stage adaptive robust optimization problem. The first-stage problem determines the start-up sequence of generators and the energization times of transmission paths; and the second-stage problem decides load pickup sequences, wind power dispatch levels, and PSH units' operating modes. The column-and-constraint generation decomposition algorithm is applied to solve the two-stage adaptive robust optimization problem, which has a mixed-integer optimization in the inner-level problem. The developed coordination strategy is tested on the modified IEEE 39-bus system. Numerical results demonstrate that the coordinated wind and PSH units can increase the total energy served, enhance wind power dispatchability, and reduce wind power curtailment.

Publication Date

10-1-2018

Publication Title

IEEE Transactions on Sustainable Energy

Volume

9

Issue

4

Number of Pages

1910-1920

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/TSTE.2018.2819133

Socpus ID

85044346196 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85044346196

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