摘要
动态无功优化是提高电力系统运行经济性和安全性的重要措施。在动态无功优化常规模型的基础上,将同一节点的若干组电容器等效为1个集中变量,用对集中电容器组的约束代替常规的单组电容器约束,给出与之完全等效的电容器组动作次数约束值和投切方法;针对动态无功优化模型的非线性、大规模性、控制变量的离散性和连续性共存的难题,对用于离散非线性优化的蚁群算法作了充分研究,提出了内点法与蚁群算法相结合的动态无功优化混合算法。IEEE14测试系统的仿真结果验证了改进模型及算法的有效性和可行性。
Dynamic reactive power optimization is an important measure to ensure power system operation econom- ically and securely. On the basis of conventional dynamic reactive power optimization model, capacitor of the same node is equivalent to a variable, capacitor constraint instead of conventional single capacitor constraint, and complete- ly equivalent action limit values and switching methods are given. With this model' s nonlinearity, massiveness, con- tinuity and discreteness, ant colony algorithm used in discrete and nonlinear optimization is fully studied, and a hy- brid algorithm which combines the interior-point method and ant colony algorithm is proposed. Test results on IEEE 14-bus systems demonstrate the efficiency and feasibility of this improved model and al~,nrithm
出处
《计算机工程与应用》
CSCD
2012年第24期226-230,共5页
Computer Engineering and Applications
关键词
电力系统
动态无功优化
蚁群算法
内点法
power system
dynamic reactive power optimization
ant colony algorithm
interior-point method