Title :
Probabilistic Analysis of Small-Signal Rotor Angle/Voltage Stability of Large-Scale AC/DC Power Systems as Affected by Grid-Connected Offshore Wind Generation
Author :
Bu, S.Q. ; Du, Wenjuan ; Wang, H.F.
Author_Institution :
Queen´s Univ. of Belfast, Belfast, UK
Abstract :
This paper investigates the probabilistic small-signal rotor angle/voltage stability of an AC/DC power system to which offshore wind generation is connected through a multi-terminal HVDC (MTDC) network. The paper applies an analytical method based on multi-point linearization to improve the accuracy of assessment of system probabilistic stability. It proposes to examine the probabilistic small-signal voltage stability of the AC/DC power system as the voltage stability is always a concern of HVDC network. The participation factor is then employed to further analyze this phenomenon and give effective remedial measures. In the paper, an example of 16-machine AC/DC power system to which three offshore wind farms is connected through aN MTDC network is presented. The proposed method in the paper is compared with the conventional Gram-Charlier expansion-based method and the nonlinear Monte Carlo simulation.
Keywords :
AC-DC power convertors; HVDC power transmission; Monte Carlo methods; linearisation techniques; offshore installations; power grids; probability; wind power plants; 16-machine AC-DC power system; Gram-Charlier expansion-based method; aN MTDC network; grid-connected offshore wind generation; large scale ac-dc power systems; multipoint linearization; multiterminal HVDC network; nonlinear Monte Carlo simulation; offshore wind farms; probabilistic analysis; small-signal rotor angle-voltage stability; Linearization techniques; Monte Carlo methods; Power system stability; Probability density function; Wind power generation; Gram-Charlier expansion; Monte Carlo simulation; multi-point linearization; participation factor; power system probabilistic small-signal rotor angle/voltage stability; probabilistic density function (PDF); wind power generation;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2013.2265712