基于改进海鸥算法的微电网经济调度研究

Research on Microgrid Economic Scheduling Based on Improved Gull Algorithm

为保证微电网经济可靠运行的同时,减少对环境的污染,提出了一种综合考虑微电网的运行成本和环境污染等因素的微电网优化调度模型。通过自适应权重法为不同的适应度函数分配权重,把多目标问题转化成单目标问题,采用改进的海鸥算法寻找最优的配置方案。实验结果表明,经过改进的海鸥算法具有很好的全局寻优能力和求解精度,收敛速度相比于标准算法也有一定的提高,在对微电网经济调度问题的求解上具有一定的优势,既降低了微电网的运行成本,又减少了环境的污染,提高了微电网运行的可靠性。

In order to ensure economic and reliable operation of micro power grid,reduce the pollution to the environment,an optimal dispatching model for microgrid is proposed,which considered the operating cost and environmental pollution of microgrid,through the adaptive weighting method weights for different fitness function are distributed,the multi-objective problem is changed to single objective problem.The improved gull algorithm is used to find the optimal configuration scheme.Gulls experiment results show that the improved algorithm has better ability for global optimization,the solving precision and convergence speed compared with the standard algorithm.The micro grid economic operation has certain advantages in solving the problem,and reducing the micro grid operation cost and the environmental pollution,improving the reliability of the micro grid operation.