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Genetic Algorithm Based Economic Optimization of Microgrid Including Multi-Energy Supply System

机译:基于遗传算法的微电网经济优化,包括多能量供应系统

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It is necessary to reduce CO_2 emission and improve energy efficiency saving in microgrid power generation scheduling. In this context, both cost and benefit are analyzed. Considering the CO_2 emission, the energy efficiency saving and some constraint conditions, an economic model including the power supply and fuel gas supply is provided. The model is solved by genetic algorithm. The optimization results of calculation example show that the model provided is feasible and reliable. And it can also be applied to a large-scale power grid.
机译:有必要减少CO_2排放,提高微电网发电调度中的节能节省。在这种情况下,分析了成本和效益。考虑到CO_2排放,节能节省和一些约束条件,提供了包括电源和燃料供应的经济模型。该模型通过遗传算法解决。计算示例的优化结果表明,所提供的模型是可行可靠的。它也可以应用于大型电网。

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