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Research on Optimization of Active Distribution Network Frame with Improved Particle Swarm Optimization Algorithm

机译:改进粒子群优化算法有源分布网络帧优化研究

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This paper investigates the optimization of active distribution network frame with improved particle swarm algorithm. To start with, a mathematical model considering economics and constraints is established to determine the planning schemes for equipment such as lines, substations and distributed generation (DG) in the current distribution network planning. Then, the improved particle swarm optimization algorithm is used to solve the power distribution and determine the best solution for distribution network grid optimization. Based on a case study of a distribution network system, the standard algorithm and the improved algorithm are compared. The results show that the method used to find high quality and meet the economic requirements of the system. The improved particle swarm optimization algorithm is effective to optimize the distribution network.
机译:本文研究了改进粒子群算法的主动分配网络帧的优化。首先,建立考虑经济学和约束的数学模型,以确定当前分布网络规划中的线路,变电站和分布式发电(DG)等设备的规划方案。然后,使用改进的粒子群优化算法来解决电力分布并确定分发网络电网优化的最佳解决方案。基于分配网络系统的案例研究,比较标准算法和改进的算法。结果表明,该方法用于寻找高质量,满足系统的经济要求。改进的粒子群优化算法有效优化分配网络。

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