考虑智能弃风的配电网络中光伏的高渗透率

M. T. Khayata, M. Shaaban
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引用次数: 2

摘要

本文提出了一种基于光伏的配电网DG分配方法。所提议的方法的目标是在预定的规划期间将开发商与能源供应需求相关的投资成本降至最低。在这项工作中考虑了与供应和需求有关的不确定性,以及与能源价格有关的不确定性。此外,本工作还引入了可再生资源的智能弃电,实现了渗透率的最大化和总投资的最小化。最后给出了典型配电网的仿真结果,验证了所提资源分配方法的有效性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accommodating High Penetration of PV in Distribution Networks Considering Smart Curtailment
This paper presents an approach for photo-voltaic based DG allocation in distribution networks. The objective of the proposed approach is to minimize the developer's investment cost associated with energy supply requirements over predefined planning period. Uncertainties associated with supply and demand are considered in this work, as well as, the uncertainty associated with energy prices. In addition, this work introduces smart curtailment of renewable resources, which can maximize the penetration and minimize the overall investment. Simulation results on a typical distribution network are provided, which prove the effectiveness and robustness of the proposed resource allocation approach.
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