Journal
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 12, Issue 1, Pages 469-481Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2020.3006984
Keywords
Reactive power; HVDC transmission; Power system dynamics; Circuit faults; Inverters; Dynamic scheduling; HVDC receiving-end power system; dynamic Var reserve; security-constrained robust coordinated scheduling; reduced event-based algorithm; continuous commutation failure; N-1 contingency; wind uncertainty
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Funding
- National Nature Science Foundation of China [51707070, 51707077, TSTE-00230-2020]
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This article proposes a problem formulation and efficient solution algorithm for DVR-constrained coordinated scheduling, considering contingencies and wind uncertainties in HVDC receiving-end power systems. The sufficiency of DVR is emphasized for post-contingency immunity, and a reduced event-based algorithm is developed for efficient calculation and improved computational efficiency. Case studies demonstrate the guaranteed DVR sufficiency, improved economy, and enhanced operational efficiency of the proposed methods.
Sufficient dynamic Var reserve (DVR) can efficiently enhance the immunity against continuous commutation failures (CCF) to avoid DC blocking and further security accidents in the line-commutated converter (LCC) based HVDC receiving-end power system. This article proposes the problem formulation and efficient solution algorithm for the DVR-constrained coordinated scheduling considering contingencies and wind uncertainties. The DVR sufficiency is proposed for the post-contingency CCF immunity in scheduling problems, which combines the voltage sensitivity-based DVR capacity calculation and the off-line DVR requirement tests. HVDC transmission and W/Var sources are coordinately scheduled to accommodate contingencies and wind uncertainties and to improve the operational economy. The reduced event-based algorithm (REA) is developed to subdivide the complex scheduling problem and reduce the considered constraints for efficient calculation. Case studies demonstrate the guaranteed DVR sufficiency, the improved economy, and the enhanced computational efficiency of the proposed methods.
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