Probabilistic optimal operation management of microgrid using point estimate method and improved bat algorithm

Peng Li, Zeyuan Zhou, R. Shi
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引用次数: 14

Abstract

This paper proposes improved bat algorithm along with point estimate method to optimize the operation of microgrid. The objective function and constraints related to the operation of microgrid are formulated and mathematical model is established. The point estimate method is used to deal with the uncertainty in load demand and output power of solar and wind units. Numerical examples analyze the performance of proposed method on solving the optimal problem. Besides, the probability distribution of total operating cost, and the effects of random variables on operating cost are presented. The proposed model and method are validated with the numerical results.
基于点估计法和改进bat算法的微电网概率优化运行管理
本文提出了改进的蝙蝠算法和点估计方法来优化微电网的运行。制定了微网运行的目标函数和约束条件,建立了微网运行的数学模型。采用点估计方法来处理太阳能和风能发电机组负荷需求和输出功率的不确定性。数值算例分析了所提方法在求解最优问题上的性能。并给出了总运行成本的概率分布,以及随机变量对运行成本的影响。数值结果验证了所提模型和方法的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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