第 14 卷
第7 期
2010 年 7 月
电 机 与 控 制 学 报 ELECTRI C MACHINES AND CONTROL
Vol. 14 No. 7 July 2010
电力系统综合节能的有功与无功功率协调优化
1 1 1 2 2 孙伟卿 , 王承民 , 张焰 , 俞国勤 , 祝达康
(1. 上海交通大学 电子信息与电气工程学院,上海 200240; 2. 上海市电力公司,上海 200122)
摘
要: 针对将有功功率与无功功率分开优化的不合理性 , 将网损以发电费用最小的原则分摊到 各个发电机上, 建立电力系统综合节能的有功与无功功率协调优化模型 .在求解模型时, 首先利用
同时通过节点和支路类型转换处 梯度法初始收敛速度快的特点将控制变量迅速收敛至最优解域 , 理节点电压和支路潮流越限问题 ;在最优解附近系统起作用不等式约束集基本确定的情况下 , 再利 用牛顿法的二次收敛特性, 求解精确最优解, 提高了牛顿法的计算效率.研究结果可以为自动发电 控制和自动电压控制系统的协调优化控制提供参考 .在 IEEE - 30 节点系统上的仿真结果验证了 所建模型和算法的有效性. 关键词:智能电网; 综合节能; 协调优化; 节点类型转换; 支路类型转换
中图分类号:TM 731 文献标志码: A 文章编号: 1007- 449X(2010)07- 0041- 07
Active / reactive power coordinated optimization in power systems comprehensive energy saving
SUN Weiqing1 , WANG Cheng- 1 , ZHANG Yan1 , YU Guo- 2 , ZHU Damin qin kang2
(1. School of Electronic,Information and Electrical Engineering,Shanghai Jiaotong University,Shanghai 200240,China; 2. Shanghai Municipal Electric Power Company,Shanghai 200122,China)
Abstract:Considering limitation of optimizing active and reactive power flow separately,it established an active / reactive power coordinated optimization model of comprehensive energy saving in power systems, and distributed the network active power losses to generators optimally to minimize the total generation cost. Made converged control variables to optimal solution domain rapidly using gradient method,and treated node voltage and branch flow violations using node type conversion and branch type conversion respectively. Once the active inequality constraint set was basically defined in optimal solution domain, used Newton method to gain the exact optimal solution. Thus,avoided calculation efficiency problem caused by frequent adjustment of active inequality constraint set in Newton method. The research results can provide referential evidences for the coordinated optimal control between automatic generation control ( AGC) and automatic voltage control( AVC) systems. Results of case study on IEEE 30- system valibus date the proposed model and algorithm. Key words:smart grids; comprehensive energy saving; coordinated optimization; node type conversion; branch type conversion

下一页