Probabilistic undervoltage load shedding using point estimate method

被引:25
|
作者
Kaffashan, Iman [1 ]
Amraee, Turaj [1 ]
机构
[1] KN Toosi Univ Technol, Fac Elect Engn, Tehran, Iran
关键词
load shedding; statistical distributions; stochastic processes; nonlinear programming; quadratic programming; probabilistic undervoltage load shedding; point estimate method; robust UVLS scheme; PEM; load uncertainties; continuous probability distribution functions; PDF; discrete statistical moments; stochastic UVLS strategy; nonlinear programming problem; sequential quadratic programming technique; IEEE 14-bus test grid; IEEE 118-bus test grid; VOLTAGE INSTABILITY; POWER-SYSTEMS; STABILITY; SCHEME; FLOW; SIMULATION; COLLAPSE;
D O I
10.1049/iet-gtd.2015.0698
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Undervoltage load shedding (UVLS) is executed as a last resort to avoid voltage instability in critical situations. In this study, a robust UVLS scheme based on the point estimate method (PEM) is developed taking load uncertainties into consideration. The utilised PEM converts the continuous probability distribution functions (PDFs) of load uncertainty to discrete statistical moments. The extracted moments could represent the behaviours of original continuous PDFs. The proposed stochastic UVLS strategy is expressed as a non-linear programming problem, which is optimised using sequential quadratic programming technique. The fulfilment of the suggested scheme is compared with Monte Carlo simulation technique for two IEEE 14-bus and IEEE 118-bus test grids.
引用
收藏
页码:2234 / 2244
页数:11
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