CAJ | 학술논문

根据电力系统中负荷不断变化的情况，提出了目标为全天网损最小的动态无功优化数学模型。以序列二次规划法作为遗传算法的一个局部搜索算子，嵌入到实数编码遗传算法中，构成一种基于序列二次规划法和实数编码的遗传算法的高效的混合智能算法。这样既保留了遗传算法具有收敛快，全局搜索能力强的优点，又克服了容易陷入局部最优点的缺陷。 IEEE9节点系统算例分析表明，混合智能算法能有效降低系统网损。
근거전력계통중부하불단변화적정황，제출료목표위전천망손최소적동태무공우화수학모형。이서렬이차규화법작위유전산법적일개국부수색산자，감입도실수편마유전산법중，구성일충기우서렬이차규화법화실수편마적유전산법적고효적혼합지능산법。저양기보류료유전산법구유수렴쾌，전국수색능력강적우점，우극복료용역함입국부최우점적결함。 IEEE9절점계통산례분석표명，혼합지능산법능유효강저계통망손。
Based on the metabolic of the power system load, raised the dynamic reactive power optimization model which target for the least of whole day network expense. let the sequential quadratic program be a local search operator of genetic algorithm, insert to the genetic algorithm, compose a compounded intelligent algo-rithm which is based on sequential quadratic program and genetic algorithm. It retain the advantage of good convergence,search capability,overcome the disadvantage of trapping in the local optimum point easily. IEEE9 system algorithmic routine indicate,compounded intelligent algorithm could decrease network expense.