4.7 Article

Coordinated VAR Planning for Voltage Stability Enhancement of a Wind-Energy Power System Considering Multiple Resilience Indices

Journal

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 11, Issue 4, Pages 2367-2379

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2019.2956733

Keywords

Resilience; Planning; Reactive power; Power system stability; Wind power generation; Automatic voltage control; Stability analysis; Multi-stage coordination; var planning; wind power uncertainty; voltage resilience; multi-objective trade-off

Funding

  1. National Research Foundation (NRF)
  2. Ministry of Education (MOE), Republic of Singapore [NRF2018-SR2001-018]
  3. AcRF TIER 1 [2019-T1-001-069(RG75/19)]
  4. Nanyang Assistant Professorship from Nanyang Technological University, Singapore

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Modern power systems are facing greater challenges in dynamic voltage performance due to the increased wind power penetration and proliferation of induction loads. This paper proposes a multi-stage coordinated var source planning method for voltage resilience enhancement. A set of novel voltage resilience metrics are proposed to quantify the steady-state and short-term voltage stability, as well as the defensive capability and restorative performance of the system. The planning model coordinates the deployment of both fixed capacitor banks and STATCOM with coordinated defensive and restorative control actions including wind power curtailment, excitation system compensation, demand response, and load shedding. Three sub-objectives are optimized simultaneously: 1) planning cost and operation mitigations cost, 2) resilience indices of defensive capability, and 3) resilience indices of restorative performance. Finally, a robust parameter design technique called Taguchi's Orthogonal Array Testing is employed for uncertainty quantification and Pareto optimal solutions are provided for a flexible decision-making. The computation burden is mitigated by candidate buses selection with Morris Screening Method and critical contingency identification. The efficiency and effectiveness of the proposed approach are validated on the New England 39-bus system.

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