求解含储能装置的微电网动态最优潮流的对偶半定规划方法  

Dual Semi-Definite Programming Method for Dynamic Optimal Power Flow With Energy Storage Device

作　　者：郑佳滨 刘明波[1] 谢敏[1] 

机构地区：[1]华南理工大学电力学院,广东省广州市510640

出　　处：《电网技术》2017年第9期2879-2886,共8页Power System Technology

基　　金：国家重点基础研究发展计划(973计划)(2013CB228205)~~

摘　　要：电网动态最优潮流是一个全天24个时间断面耦合的最优潮流问题,需要考虑常规机组爬坡率约束和分布式储能装置能量约束。具有二阶收敛特性的内点法可以对其进行快速求解,但无法保证解的全局最优性。采用对偶半定规划法求解该问题,对孤岛运行的微电网动态最优潮流原始模型及向对偶半定规划模型的转换做了详细的介绍,并给出了严格的全局最优性判据。同时将储能装置的强非线性模型等价地变换成线性模型,并给出了相应的证明。某实际微电网和IEEE 30节点系统的测试结果表明,对偶半定规划法可高效求解动态最优潮流问题,其解可保证全局最优性。Dynamic optimal power flow（DOPF） in microgrids is an optimal power flow problem considering couplings among 24 time intervals in a whole day, consisting of ramp rate constraints of conventional generating units and energy balance constraints of distributed storage devices. Interior-point method with the second order convergence can be used to solve the problem quickly, but it cannot guarantee global optimum solution. This paper applies dual semi-definite programming（DSDP） method to solve this problem. Original DOPF model of a isolated microgrid and its transformation to DSDP model are presented in detail. The paper gives a strict global optimality criterion. Meanwhile, strong nonlinear model of energy storage device is transformed into a linear model and corresponding proof is given. Test results on a real microgrid and IEEE 30-bus system show that DSDP can solve this DOPF problem efficiently and find global optimum solution.

关 键 词：微电网 动态最优潮流 储能装置 对偶半定规划法 全局最优解 

分 类 号：TM721[电气工程—电力系统及自动化]