电力系统自动化Issue(3)：27-32,51,7.DOI:10.7500/AEPS20150423010
基于最近电压稳定临界点的发电机无功备用优化方法
An Optimization Approach to Generator Reactive Power Reserve Based on Closest Critical Point of Voltage Stability Limit Surface
摘要
Abstract
Conventional optimization approaches to generator reactive power reserve are mostly based on the deterministic load increase pattern.However,this pattern is unable to effectively evaluate the reactive power reserve level under the most critical load increase pattern when the forecast errors of load and renewable energy output are taken into account.To address this problem,a nonlinear bilevel programming model of optimal generator reactive power reserve dispatch method based on the closest critical point of voltage stability limit surface is proposed.The upper model transforms the solution of critical point and its load increase pattern into the iteration process of second-order approximation of limit surface and continuation power flow under the given nodal power injection.The lower model solves the reactive power reserve under the critical load increase pattern,while the modified power injections are returned to the upper level.To demonstrate the validity of the proposed method,first the existence of optimal solution and the effectiveness of convergence criteria are verified.Further,it is shown by an analysis of the numerical simulation that the proposed method is able to improve reactive power level and enhance the voltage stability margin of power system under the critical load increase pattern considering the uncertainties of load increase pattern.关键词
最近电压稳定临界点/无功备用优化/最危险负荷增长方式/极限曲面二次近似Key words
closest critical point of voltage stability limit surface/reactive power reserve optimization/critical load increase pattern/second-order approximation of limit surface引用本文复制引用
方斯顿,程浩忠,徐国栋,曾平良,姚良忠..基于最近电压稳定临界点的发电机无功备用优化方法[J].电力系统自动化,2016,(3):27-32,51,7.基金项目
国家自然科学基金重点项目(51337005) （51337005）
国家重点基础研究发展计划(973计划)资助项目(2014CB23903)。This work is supported by the Key Program of National Natural Science Foundation of China (No.51337005) and National Basic Research Program of China(973 Program)(No.2014CB23903) （973计划）
