TY - GEN
T1 - Comprehensive probability analysis on voltage stability of power grid with wind farm connected
AU - Lin, Yuzhang
AU - Lei, Shaolin
PY - 2013
Y1 - 2013
N2 - In this paper, voltage stability probabilistic analysis and critical buses identification using multiple indices were performed to power system with wind farm connected. Considering the uncertainty of wind speed, Monte Carlo method was selected to perform the probabilistic analysis. Firstly, total transfer capability (TTC) of power system under voltage stability constraint, bus voltage change index, sensitivity index of bus voltage with respect to active power, reactive power margin and sensitivity index of reactive power with respect to bus voltage were calculated by P-V curve and Q-V curve respectively. The statistic information of TTC was employed to research the impact of wind farm on voltage stability and the probability of voltage instability of power system. Integrating the four bus voltage stability indices, a comprehensive evaluation method which combined entropy method and technique for order preference by similarity to ideal solution (TOPSIS) was proposed to identify the critical buses. Furthermore, the simulation analysis basing on IEEE 10- generator-39-bus test system was carried out to reveal the impacts of wind generation uncertainty on voltage stability and TTC, and to demonstrate the practicability of the proposed identification method.
AB - In this paper, voltage stability probabilistic analysis and critical buses identification using multiple indices were performed to power system with wind farm connected. Considering the uncertainty of wind speed, Monte Carlo method was selected to perform the probabilistic analysis. Firstly, total transfer capability (TTC) of power system under voltage stability constraint, bus voltage change index, sensitivity index of bus voltage with respect to active power, reactive power margin and sensitivity index of reactive power with respect to bus voltage were calculated by P-V curve and Q-V curve respectively. The statistic information of TTC was employed to research the impact of wind farm on voltage stability and the probability of voltage instability of power system. Integrating the four bus voltage stability indices, a comprehensive evaluation method which combined entropy method and technique for order preference by similarity to ideal solution (TOPSIS) was proposed to identify the critical buses. Furthermore, the simulation analysis basing on IEEE 10- generator-39-bus test system was carried out to reveal the impacts of wind generation uncertainty on voltage stability and TTC, and to demonstrate the practicability of the proposed identification method.
KW - critical buses identification
KW - probabilistic analysis
KW - voltage stability
KW - wind generation uncertainty
UR - http://www.scopus.com/inward/record.url?scp=84893589302&partnerID=8YFLogxK
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U2 - 10.1109/IWIES.2013.6698562
DO - 10.1109/IWIES.2013.6698562
M3 - Conference contribution
AN - SCOPUS:84893589302
SN - 9781479911356
T3 - Proceedings - 2013 IEEE International Workshop on Intelligent Energy Systems, IWIES 2013
SP - 58
EP - 63
BT - Proceedings - 2013 IEEE International Workshop on Intelligent Energy Systems, IWIES 2013
PB - IEEE Computer Society
T2 - 2013 IEEE International Workshop on Intelligent Energy Systems, IWIES 2013
Y2 - 14 November 2013 through 14 November 2013
ER -