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计及控制设备动作次数约束的动态无功优化算法
引用本文:刘明波,朱春明,钱康龄,李芳红.计及控制设备动作次数约束的动态无功优化算法[J].中国电机工程学报,2004,24(3):34-40.
作者姓名:刘明波  朱春明  钱康龄  李芳红
作者单位:1. 华南理工大学电力学院,广东,广州,510640
2. 江苏省电力设计院,江苏,南京,210024
3. 广东省广电集团有限公司广州供电分公司,广东,广州,510600
基金项目:国家自然科学基金,广东省自然科学基金
摘    要:将全天各负荷母线的有功和无功变化曲线分为24个时段,用控制变量的数学表达式描述有载调压变压器分接头和可投切并联电容器组的动作次数约束,提出了完整的非线性混合整数动态无功优化模型,并提出采用非线性原对偶内点法内嵌罚函数的方法求解该模型.在优化过程中较好地解决了变量离散化和控制设备动作次数限制之间的配合问题.以一个实际系统作为算例,分析了不同最大动作次数约束取值对动态无功优化结果的影响,并与单点静态优化计算结果进行了比较,以比较结果验证了该算法的正确性和有效性及在限制控制设备动作次数方面取得的成功.

关 键 词:电力系统  动态无功优化  原对偶内点法  动作次数约束  变量离散化
文章编号:0258-8013(2004)03-0034-07
修稿时间:2003年11月18

DYNAMIC REACTIVE-POWER OPTIMIZATION ALGORITHM INCORPORATING ACTION NUMBER CONSTRAINTS OF CONTROL DEVICES
LIU Ming-bo,ZHU Chun-ming,QIAN Kang-ling,LI Fang-hong.DYNAMIC REACTIVE-POWER OPTIMIZATION ALGORITHM INCORPORATING ACTION NUMBER CONSTRAINTS OF CONTROL DEVICES[J].Proceedings of the CSEE,2004,24(3):34-40.
Authors:LIU Ming-bo  ZHU Chun-ming  QIAN Kang-ling  LI Fang-hong
Affiliation:LIU Ming-bo1,ZHU Chun-ming2,QIAN Kang-ling3,LI Fang-hong3
Abstract:The daily active and reactive power curves of all load buses are divided into 24 segments, and action number constraints of transformers with on-load tap changers and switchable shunt capacitor banks are described by mathematical expressions of their control variables. Hence, an integrated mixed-integer/nonlinear dynamic reactive-power optimization model is presented. The nonlinear primal-dual interior-point algorithm in which penalty functions are incorporated is applied to solving this model. In optimization process, the coordination between discretization of variables and restriction of action number of control devices is realized preferably. Also, the effect of different maximum action number constraints on dynamic reactive-power optimization results is analyzed, and the result based on the proposed method is compared with that based on the static optimization method on a real power system. Furthermore, correctness and effectiveness of the proposed method and success in restricting action numbers of control devices have been validated.
Keywords:Power system  Dynamic reactive-power  optimization  Primal-dual interior-point algorithm  Action  number constraint  Variable discretization
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