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一种改进蚁群算法在配电网优化规划中的应用

         

摘要

Power Distribution Network Optimization Planning is a complicated nonlinear optimizing combination problem. In order to solve this problem ,a method of power network planning based on improved ant colony- algorithm (ACA) is presented. In this ACA, according to the radial configuration of distribution system, a method which can avoid the radial checking procedure is used. Combining ACA and improving the inspired factorα, it can raise the network planning' s efficiency. Hie results show that this method is proved to be superiority.%配电网规划是一个复杂的非线性组合优化问题.为解决这一难题,提出一种基于改进蚁群算法的配电网优化规划算法.算法中,针对配电网络的辐射性特点,运用了一种避免辐射性检查的规划方法.结合蚁群算法,并改进了启发因子α,提高了配网规划的效率.算例结果表明该算法的优越性.

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