Abstract The distributed generation (DG) planning with the varying pattern of the practical load is difficult as it calls for the frequent changes in DG size and system configuration, which is neither feasible nor permissible. Rather such a DG size and a configuration, which can be utilized over a wider load pattern, are more acceptable. This work presents a coordinated approach for DG planning and system reconfiguration. While to operate a particular DG size and the system configuration over a wide range of loading pattern, the configurations are ranked under different probabilistic loading patterns. Based upon the ranking of the new configuration, the energy performance of the coordinated planning is evaluated. Further, the observations from coordinated planning are imposed on coordinated operation using harmony search algorithm (HSA). The proposed approach is tested for single as well as multi-objectives on a 33-node system. A significant improvement in the computational efforts and energy performance of the resulting configuration have been observed where losses have reduced to 81.11 and 53.77 kW with single DG and multi-DG allocation respectively.

中文翻译：

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分布式系统中分布式电源分配和运行策略的协调框架，用于不同负载模式下的配置管理

摘要 实际负荷变化模式下的分布式发电（DG）规划是困难的，因为它要求DG规模和系统配置的频繁变化，这既不可行也不被允许。相反，这种可用于更广泛负载模式的 DG 尺寸和配置更容易被接受。这项工作为 DG 规划和系统重新配置提出了一种协调的方法。虽然要在广泛的负载模式下运行特定的 DG 大小和系统配置，但这些配置在不同的概率负载模式下排名。根据新配置的排名，评估协调规划的能源性能。此外，使用和谐搜索算法（HSA）将来自协调规划的观察结果强加给协调操作。所提出的方法在 33 节点系统上针对单目标和多目标进行了测试。已观察到所得配置的计算工作和能源性能的显着改进，其中损耗分别减少到 81.11 和 53.77 kW，分别使用单 DG 和多 DG 分配。