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首页> 外文会议>2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies >Optimal capacity expansion-planning of distributed generation in microgrids considering uncertainties
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Optimal capacity expansion-planning of distributed generation in microgrids considering uncertainties

机译：考虑不确定性的微电网分布式发电最优容量扩展规划

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摘要

Capacity shortage problem extensively occurs in the developing countries. Microgrids comprising of distributed generation provides a solution to this capacity shortage problem. However an optimal capacity expansion-planning of the distributed generation in a microgrid is necessary to satisfy the load demand most economically. In current research the capacity expansion-planning of distributed generation like wind, solar, diesel generation along with energy storage is carried out considering the uncertainties associated with wind speed, solar radiation and load fluctuation. The account of uncertainties is very important as it results in a more reliable and robust planning model. These uncertainties are estimated by using their expected values based on the probability distributions and the autoregressive model is used to generate the scenarios. A stochastic optimization approach is used for optimal capacity expansion planning with multiple objectives including the minimization of the total net present cost, emissions and non-renewable fraction in the presence of constraints. A microgrid in grid-connected mode is utilized for the example problem. Because of the conflicting objectives, the non-dominant and most near to the optimal solutions are presented using the Pareto fronts. The results from both stochastic and deterministic optimization approaches are compared. The results support the investment and hence the capacity expansion.
机译：能力不足问题在发展中国家广泛发生。由分布式发电组成的微电网为该容量不足问题提供了解决方案。然而，微电网中分布式发电的最优容量扩展计划对于最经济地满足负荷需求是必要的。在当前的研究中，考虑到与风速，太阳辐射和负荷波动相关的不确定性，进行了分布式发电（如风能，太阳能，柴油发电以及能量存储）的容量扩展计划。不确定性的考虑非常重要，因为它会导致更可靠，更可靠的计划模型。通过使用基于概率分布的期望值来估计这些不确定性，并使用自回归模型生成方案。随机优化方法用于具有多个目标的最佳容量扩展计划，包括在存在约束的情况下使总净现值，排放量和不可再生分数最小化。并网模式下的微电网用于示例问题。由于目标冲突，因此使用Pareto前沿提出了非优势和最接近最优解的方法。比较了随机优化方法和确定性优化方法的结果。结果支持投资，从而扩大产能。

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