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Research on environmental and economic dispatch of microgrid based on coevolutionary genetic algorithm

机译:基于共同遗传算法的微电网环境与经济调度研究

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The drawbacks of high cost, high pollution, and high energy consumption of traditional power system become increasingly apparent, so the energy crisis and energy conservation is an urgent requirement to promote new energy generation and renewable energy generation such distributed generations to become a useful supplement for main grid. And the microgrid is an effective way to access grid for the distributed power. Coevolutionary genetic algorithm has the characteristics of parallel computing, fast convergence, and strong optimization ability, which is applied into the optimization of environmental and economic dispatch of microgrid. By the minimum total costs of power generation and emission as target respectively in isolated mode and grid-connected mode, the optimal scheduling of distributed power contribution is achieved. The experimental results show the method is correct and effective.
机译:高成本,高污染和传统电力系统的高能消耗的缺点变得越来越明显,因此能源危机和节能是促进新能源和可再生能源的迫切要求,这种分布世代成为一个有用的补充主电网。微电网是访问分布式电力网格的有效方法。共凝固遗传算法具有平行计算,快速收敛性和强大优化能力的特点,应用于微电网的环境和经济调度优化。通过分别在隔离模式和网格连接模式中分别为目标的发电和发射的最小成本,实现了分布式功率贡献的最佳调度。实验结果表明该方法是正确有效的。

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