面向对象的配电网无功补偿配置优化算法研究

提出一种针对配电网无功优化的面向对象建模方法,能更准确逼真地刻画配电网无功补偿问题。同时由于优化模型的目标函数、约束条件等各组成部分均以对象形式表示,使得对优化问题的描述具有更好的可扩展性,因此也更容易适应新形势下不断变化的电力系统无功优化问题。此算法在JAVA环境下基于开源遗传算法函数库——Jenetics得以实现,以实际配电网的算例验证了本文所提方法的正确性和有效性。

Study on Object-Oriented Reactive Compensation Allocation Optimization Algorithm for Distribution Networks

An object-oriented optimization modeling method for distribution network reactive power optimization is introduced in this paper, which is more precise comparing with traditional reactive power optimization methods. Better expandability can be achieved since all the aspects of the optimization problem can be expressed in an object-oriented way, such as the objective function and all the constraints, and thus it is more suitable for the continuously improving reactive power optimization problems in modem power industries. The method is implemented based on the open source Genetics Algorithm library named Jenetics in JAVA environment. A sample from real distribution system is used to test the validity of the method in this paper.