Abstract The need for energy and environmental sustainability as a result of the significant concern for mitigating the effects of climate changes has notedly encouraged the deployment of more renewable energy resources towards mitigating greenhouse gas emission crisis. However, there is a need for proper planning of variable renewable energy sources penetration to meet the techno-economic criteria for reliable operation of a distribution network which includes loss reduction, voltage stability improvement, voltage profile enhancement and so on. Hence, optimally coordinated planning of dispersed and centralized renewable energy resources-based power generations can provide a better solution approach. In this study, a two-stage optimal coordination of localized and centralized generation is proposed using multi-objective multi-verse optimization (MOMVO) technique for simultaneous minimization of investment cost and voltage profile enhancement. The first optimization stage determines the optimal locations and sizes of the dispersed generation units. The capacity size of pre-located centralized generation units is determined in the second stage with adequate consideration of the results of the first stage. The real 68-bus distribution network with three main distribution feeders in Kabul city, is considered as the test case for simulation on MATLAB ® environment.

中文翻译：

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电池储能系统并入配电网的集中式和分布式可再生能源发电优化协调

摘要 由于对减轻气候变化影响的重大关注，对能源和环境可持续性的需求明显鼓励了更多可再生能源的部署，以减轻温室气体排放危机。然而，需要对可变可再生能源的渗透进行适当的规划，以满足配电网络可靠运行的技术经济标准，包括降低损耗、电压稳定性改善、电压分布增强等。因此，基于分散和集中的可再生能源发电的最佳协调规划可以提供更好的解决方法。在这项研究中，使用多目标多宇宙优化 (MOMVO) 技术提出了本地化和集中式发电的两阶段优化协调，以同时最小化投资成本和电压分布增强。第一优化阶段确定分散发电机组的最佳位置和大小。预置集中机组容量大小在第二阶段充分考虑第一阶段的结果后确定。喀布尔市具有三个主要配电馈线的真实 68 总线配电网络被视为在 MATLAB ® 环境中进行仿真的测试案例。第一优化阶段确定分散发电机组的最佳位置和大小。预置集中机组容量大小在第二阶段充分考虑第一阶段的结果后确定。喀布尔市具有三个主要配电馈线的真实 68 总线配电网络被视为在 MATLAB ® 环境中进行仿真的测试案例。第一优化阶段确定分散发电机组的最佳位置和大小。预置集中机组容量大小在第二阶段充分考虑第一阶段的结果后确定。喀布尔市具有三个主要配电馈线的真实 68 总线配电网络被视为在 MATLAB ® 环境中进行仿真的测试案例。