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Robust planning methodology for integration of stochastic generators in distribution grids

机译:用于将随机发电机集成到配电网中的鲁棒规划方法

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摘要

The number of distributed generation (DG) units being connected at the lowand medium-voltage level is evermore increasing. Because of the mostly non-dispatchable generation profile of small-scale renewable power sources, grid performance can be ameliorated as well as deteriorated. A traditional mathematical optimisation of techno-economic objectives is elaborated upon. A conservative approach can, however, easily underestimate performance deviations due to the stochastic output of DG. A robust planning methodology is formulated, based on accuracy improving Monte Carlo simulations nested in an evolutionary algorithm. Multiple objectives are pursued to assess proper trade-offs regarding the technical and economical aspects
机译:在低压和中压水平下连接的分布式发电(DG)单元的数量不断增加。由于小型可再生能源的发电量大多是不可调度的,因此电网性能可以改善甚至降低。详细阐述了技术经济目标的传统数学优化方法。但是,保守的方法很容易低估由于DG的随机输出而导致的性能偏差。基于嵌套在进化算法中的改进精度的蒙特卡洛模拟,制定了可靠的规划方法。追求多个目标以评估有关技术和经济方面的适当权衡

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