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Effective Microgrid Cost Reduction using Dragon Fly Optimization Algorithm and Firefly Algorithm

机译:使用龙飞度优化算法和萤火虫算法有效的微电网成本降低

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Introducing distributed generation (DG) into distribution networks provide reliable power to the consumers. The dispatchable and non-dispatchable unit usually placed nearby distribution networks operates in medium/low voltage system. The dragonfly and firefly algorithm are used for micro grid optimal scheduling both in grid connected mode and island mode. Dispatchable and non-Dispatchable units in the micro grid are connected to the conventional grid to supply energy to the end user. The fire fly algorithm has a drawbacks to find the global minima and also they were not able to provide a proper balance between exploration and exploitation. The drawback of DA it does not give accurate optimal solution for multi-objective problem and it was not used for short term wind power prediction. To find the minimum operating cost of micro grid the protype is developed for Dragonfly and firefly algorithm. Comparative performance analyses are done with the results of DA and firefly algorithm. Here the Dragon fly algorithm outperforms firefly algorithm by evaluating with power demand and operating cost of micro grid
机译:将分布式发电(DG)引入分销网络为消费者提供可靠的权力。调度和不可调度的单元通常放置在附近的分配网络中,在中/低压系统中操作。蜻蜓和萤火虫算法用于网格连接模式和岛模式下的微网格最佳调度。微网格中的调度和不可调度单元连接到传统网格以向最终用户提供能量。消防速算法有一个缺点,以找到全球最小值,而且它们在勘探和剥削之间无法提供适当的平衡。 DA的缺点不会为多目标问题提供准确的最佳解决方案,并且不用于短期风力电力预测。为了找到Micro Grid的最小运营成本,验证是为蜻蜓和萤火虫算法开发的。比较性能分析是通过DA和Firefly算法的结果进行的。在这里,龙飞算法通过使用微网格的功率需求和运营成本评估萤火虫算法优于萤火虫算法

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