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A review on optimization algorithms and application to wind energy integration to grid

机译:优化算法及其在风电并网中的应用综述

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In order to meet power needs, with concern for economics and environment, wind energy conversion is gradually gaining interest as a suitable source of renewable energy. To maximize the power extraction from the wind, optimization techniques are used at the various module of a wind farm starting from wind farm design for siting, sizing, optimal placement and sizing of distributed generation (DG) sources, generation scheduling, tuning of PID controller, control of wind energy conversion system (WECS) etc. This paper mainly focuses on the optimization algorithms (mostly the swarm based) in relation to integration of the wind farm with the grid. The paper here gives a precise idea about different optimization techniques, their advantage and disadvantage with respect to a wind farm. This review will enable the researchers to open the mind to explore possible applications in this field as well as beyond this area. (C) 2015 Elsevier Ltd. All rights reserved.
机译:为了满足电力需求,同时考虑到经济和环境,风能转换作为合适的可再生能源逐渐受到关注。为了最大程度地利用风能,从风电场设计开始,在风电场的各个模块上使用了优化技术,以进行分布式发电(DG)源的选址,选型,最优放置和选型,发电调度,PID控制器的调整,风能转换系统(WECS)的控制等。本文主要针对与风电场与电网集成相关的优化算法(主要是基于群)。本文对不同的优化技术,相对于风电场的优缺点给出了精确的想法。这项审查将使研究人员能够开阔思路,探索该领域以及该领域以外的可能应用。 (C)2015 Elsevier Ltd.保留所有权利。

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