Modified Affine Arithmetic-Based Power Flow Analysis with Uncertainty
作者： Bala Surendra Adusumilli , Vinod Raj , B Kalyan Kumar , None
DOI: 10.1080/15325008.2018.1465143
关键词: Uniform distribution (continuous) 、 Range (statistics) 、 Flow (mathematics) 、 Monte Carlo method 、 Stability (learning theory) 、 Control theory 、 Power-flow study 、 Affine arithmetic 、 Voltage 、 Computer science
摘要: AbstractPower flow studies are very important and essential for fault analysis stability analysis. Conventional Newton–Raphson-based power is fixed loads generations. However, load generation powers uncertain due to factors like forecasting error, sudden outages, etc. Monte Carlo was widely used with uncertainty. Due excessive computational time involved in Carlo, affine arithmetic-based introduced. In the present work, a modified proposed. The proposed method needs less memory gives tighter bounds on voltage magnitudes angles of system buses given uncertainty range as compared existing implemented IEEE 30 118 bus systems detailed simulation results presented. simulations as...
sci-hub.se 参考文章(11)
Shouxiang Wang, Liang Han, Peng Zhang, Affine Arithmetic-based DC Power Flow for Automatic Contingency Selection with Consideration of Load and Generation Uncertainties Electric Power Components and Systems. ,vol. 42, pp. 852- 860 ,(2014) , 10.1080/15325008.2014.896433
Mahdi Hajian, William D. Rosehart, Hamidreza Zareipour, Probabilistic Power Flow by Monte Carlo Simulation With Latin Supercube Sampling IEEE Transactions on Power Systems. ,vol. 28, pp. 1550- 1559 ,(2013) , 10.1109/TPWRS.2012.2214447
Alfredo Vaccaro, Claudio A. Canizares, Kankar Bhattacharya, A Range Arithmetic-Based Optimization Model for Power Flow Analysis Under Interval Uncertainty IEEE Transactions on Power Systems. ,vol. 28, pp. 1179- 1186 ,(2013) , 10.1109/TPWRS.2012.2214405
Luiz Henrique de Figueiredo, Jorge Stolfi, Affine Arithmetic: Concepts and Applications Numerical Algorithms. ,vol. 37, pp. 147- 158 ,(2004) , 10.1023/B:NUMA.0000049462.70970.B6
J.D. Ma, R.A. Rutenbar, Fast interval-valued statistical modeling of interconnect and effective capacitance IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. ,vol. 25, pp. 710- 724 ,(2006) , 10.1109/TCAD.2006.870067
Alfredo Vaccaro, Claudio A. Canizares, Domenico Villacci, An Affine Arithmetic-Based Methodology for Reliable Power Flow Analysis in the Presence of Data Uncertainty IEEE Transactions on Power Systems. ,vol. 25, pp. 624- 632 ,(2010) , 10.1109/TPWRS.2009.2032774
Z. Wang, F.L. Alvarado, Interval arithmetic in power flow analysis IEEE Transactions on Power Systems. ,vol. 7, pp. 1341- 1349 ,(1992) , 10.1109/59.207353
Alfredo Vaccaro, Claudio A. Canizares, An Affine Arithmetic-Based Framework for Uncertain Power Flow and Optimal Power Flow Studies IEEE Transactions on Power Systems. ,vol. 32, pp. 274- 288 ,(2017) , 10.1109/TPWRS.2016.2565563
Cong Zhang, Haoyong Chen, Honwing Ngan, Ping Yang, Dong Hua, A Mixed Interval Power Flow Analysis Under Rectangular and Polar Coordinate System IEEE Transactions on Power Systems. ,vol. 32, pp. 1422- 1429 ,(2017) , 10.1109/TPWRS.2016.2583503
Sidun Fang, Haozhong Cheng, Guodong Xu, A Modified Nataf Transformation-based Extended Quasi-Monte Carlo Simulation Method for Solving Probabilistic Load Flow Electric Power Components and Systems. ,vol. 44, pp. 1735- 1744 ,(2016) , 10.1080/15325008.2016.1173130