CAJ | 학술논문

为提高电力系统的小干扰稳定性，研究了阻尼控制器之间的协调优化策略，以选定的待改善模式为目标模式，采用模式追踪技术，以目标模式阻尼比最大化为优化目标建立优化模型，采用一种基于云模型理论的改进模拟植物生长算法(plant growth simulation algorithm，PGSA)对阻尼控制器参数进行协调优化。该算法通过改进搜索步长和迭代中加入云模型理论来提高算法的搜索效率和收敛速度，并且克服了常规PGSA算法无法适用于连续函数优化的缺点。进一步，基于大规模电网算例，分别以局部和区域间的低频振荡模式为目标模式进行参数优化，仿真结果验证了所提方法的有效性。
위제고전력계통적소간우은정성，연구료조니공제기지간적협조우화책략，이선정적대개선모식위목표모식，채용모식추종기술，이목표모식조니비최대화위우화목표건립우화모형，채용일충기우운모형이론적개진모의식물생장산법(plant growth simulation algorithm，PGSA)대조니공제기삼수진행협조우화。해산법통과개진수색보장화질대중가입운모형이론래제고산법적수색효솔화수렴속도，병차극복료상규PGSA산법무법괄용우련속함수우화적결점。진일보，기우대규모전망산례，분별이국부화구역간적저빈진탕모식위목표모식진행삼수우화，방진결과험증료소제방법적유효성。
To improve small signal stability of power system the coordinated optimization strategy among damping controllers is researched. A mode, which is selected and to be improved, is taken as the target mode and taking the maximized damping ratio under the target mode as the optimization objective an optimization model is established, and the coordinated optimization of damping controller parameters is performed by a cloud model theory based improved plant growth simulation algorithm (PGSA). Through improving search step-length and adding cloud model theory into the iterations both search efficiency and convergence speed of the improved PGSA are increased, meanwhile the defect that conventional PGSA is not suitable to the optimization of continuous functions is remedied. Farther, based on the calculation case of large-scale power grid and taking the local and interregional low-frequency oscillation modes as objectives respectively the parameters of damping controllers are optimized, and simulation results show that the proposed method is valid.