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Optimization of Unbalanced Active Distribution Systems Using Cuckoo Search Algorithm

机译:基于布谷鸟搜索算法的非平衡有源配电系统优化

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These years, the connection of distributed generation (DG) to active distribution systems or microgrid has been widely used. The DGs integration and the novel optimization algorithms, makes the realization of optimal power flow (OPF) at the distribution level feasible. OPF not only reduces system power losses, but also decreases the DGs generation costs; simultaneously, the new control strategy improves the voltage profiles, which is a significant factor of power qualities. In this paper, a multi-objective function is converted into a single objective problem that defines a nonlinear power flow for optimization. Cuckoo Search (CS) algorithm is put into used.
机译:近年来,分布式发电(DG)与有源配电系统或微电网的连接得到了广泛应用。DGs集成和新的优化算法使得在配电层实现最优潮流成为可能。OPF不仅降低了系统功率损耗,还降低了DGs发电成本;同时,新的控制策略改善了电压分布,这是影响电能质量的一个重要因素。本文将多目标函数转化为定义非线性潮流的单目标优化问题。采用布谷鸟搜索(CS)算法。

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