Voltage Online Assessment and Decision-Making Based on POPF with HVDC Transmission Capability and RES Fluctuation Consideration

摘要

Uncertainty and variability are the inherent factors of intermittent power resources such as wind and solar. With HVDC transmission system, a closely interconnected power system rather than a group of relatively independent regional grids is formed and transmitting energy continuously from resource redundant areas to the load centers. This paper proposed a voltage online assessment and decision-making approach based on probabilistic optimal power flow (POPF) with HVDC transmission capability and renewable energy source (RES) fluctuation consideration. Classification and permutation approaches are applied to the decision-making model for key nodes determination, which are closely related to the HVDC links. Voltage assessment is implemented by probabilistic approach and searching qualified voltage samples. Cigre HVDC Benchmark model with modified IEEE 9-bus 3-machine Benchmark Network is established for simulating in PowerFactory DIgSILENT Version 15.1, and the proposed algorithm is implemented with DIgSIELNT Programming Language (DPL) in the software package.