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Multi-objective genetic algorithm to improve the power system operation using distributed generation

机译:多目标遗传算法改善电力系统操作使用分布式

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Saturation of existing networks and the continuous growth of load have led to increased interest in distributed generation (DG) units. Proper locations of DG units in power system are important to improve the power system operation at different conditions with respect to system power losses and relief of the heavy loaded lines. In this paper, a multi-objective formulation for siting and sizing of DG units into existing transmission networks is proposed. The methodology adopted permits the operator to compromise between the objective functions, which are reducing the power flows in the critical transmission lines and minimizing. the system power losses. The implemented technique is based on a genetic algorithm (GA) and priority goal programming method (PGP). Numerical simulations are carried out on two test systems in order to examine the validity of the proposed procedure.
机译:现有网络的饱和度和负载的持续增长导致对分布式发电(DG)单元的兴趣增加。 电力系统中的DG单位的适当位置对于改善不同条件的电力系统操作,相对于系统功率损耗和重载线路的浮雕。 在本文中,提出了一种用于将DG单元的选址和尺寸分化为现有传输网络的多目标配方。 所采用的方法允许操作员在客观函数之间妥协,这些函数正在减少临界传输线中的功率流并最小化。 系统功率损耗。 实现的技术基于遗传算法(GA)和优先目标编程方法(PGP)。 数值模拟在两个测试系统上进行,以检查所提出的程序的有效性。

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