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Optimal operation planning method for isolated micro grid considering uncertainties of renewable power generations and load demand

机译:考虑可再生能源发电和负荷需求不确定性的隔离微电网最优运行计划方法

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This paper make an approach to the optimal operation planning for an isolated microgrid, which consists of renewable power generations such as wind turbine and photovoltaic power generators, and diesel generators as the stable power source and batteries for electric power storage. In this paper, optimal operation planning method taking into consideration of the uncertainties of renewable power generations and load demand is proposed and studied. This is considered to be extremely necessary since the power generated from these renewable power sources is strongly depending on the natural conditions and therefore has the nature of unpredictability and fluctuation. Especially in case of the operation planning for a microgrid in isolated operation, it is desired to take the uncertainties of these renewable power generations into account. In the work, stochastic scenarios of solar radiation, wind speed and load demand are first created by use of the observed mean-values and standard deviations data, and then based on these stochastic scenario data, stochastic operation cost optimization models for minimizing operation cost of the microgrid are formulated. This optimization problem is then solved by means of a modern technique of PSO (Particle Swarm Optimization). By conducting numerical simulations, the optimal solution of stochastic operation cost model and deterministic operation cost model have been obtained and compared in this paper.
机译:本文提出了一种针对孤立微电网的最佳运行计划的方法,该电网由风力发电机和光伏发电机等可再生能源发电,以及作为稳定电源的柴油发电机和电力存储电池组成。提出并研究了考虑可再生能源发电的不确定性和负荷需求的最优运行计划方法。这被认为是非常必要的,因为从这些可再生电源产生的功率强烈地取决于自然条件,因此具有不可预测性和波动性。尤其是在针对隔离运行中的微电网的运行计划的情况下,期望考虑这些可再生发电的不确定性。在工作中,首先通过使用观测到的平均值和标准差数据创建太阳辐射,风速和负荷需求的随机情景,然后基于这些随机情景数据,建立随机运行成本优化模型,以最大程度地降低太阳能发电的运行成本。微电网的配方。然后,借助PSO(粒子群优化)的现代技术解决此优化问题。通过数值模拟,获得了随机运行成本模型和确定性运行成本模型的最优解,并进行了比较。

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