作　　者： ; ;

机构地区： 重庆大学

出　　处： 《微计算机信息》 2010年第31期9-11,共3页

摘　　要： 系统的负荷裕度由亚临界霍普夫分岔值表征,如何延迟甚至消除霍普夫分岔,提高负荷裕度,对于防止系统电压失稳具有重要意义。该文根据一种新的霍普夫分岔指标建立了电压稳定霍普夫分岔控制的最优化模型,该模型考虑了更为切合实际的约束条件,包括发电机有功及无功出力限制、励磁电压限制以及各节点电压限制等。为了有效求解该优化模型,该文提出了一种改进遗传算法。该算法分为两个阶段,第一阶段完成家族内部的选择,使得每个家族成员都是优良个体;第二阶段实现家族间的选择,这是一种"优—优"选择,使算法能以更快的速度收敛到全局最优解。通过对测试函数和WSCC-9节点系统的仿真表明该模型和算法的有效性和可行性。 The system load margin is characterized by the sub-critical Hopf bifurcation values. It is of great significance to improve the system load margin by delaying or even eliminating Hopf bifurcation. The optimization model of Hopf bifurcation control of voltage stability is established according to a new Hopf bifurcation of voltage stability indicator in this paper. The model considers the more realistic constraints,including generators＇ active and reactive power out limits,excitation voltage limits and node voltage limits. An improved genetic algorithm is presented by this paper to solve the optimization model effectively. The algorithm is divided into two phases.It completes the choice inside the kindred during the first stage so that each kindred members are fine individuals. The second stage of the algorithm completes the choice between the different kindreds,which is a kind of ＇excellent-excellent＇ choice,making the algorithm can be much faster convergence to the global optimal solution. Simulation results of the test function and the wscc 9-bus system proved the effectiveness and feasibility of the model and algorithm.

关 键 词： 霍普夫分岔 准霍普夫分岔值 改进遗传算法 霍普夫分岔控制

领　　域： [电气工程]