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contributor authorZou, Jianxiao
contributor authorYao, Junping
contributor authorZou, Qingze
contributor authorXu, Hongbing
contributor authorZhang, Zhenzhen
date accessioned2017-05-09T01:12:24Z
date available2017-05-09T01:12:24Z
date issued2014
identifier issn0199-6231
identifier othersol_136_02_021026.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/156277
description abstractWith more and more wind farms integrated into the power grid, the stability and security of the grid can be significantly affected by the windfarmgenerated power, due to the intermittent and volatile nature of the windfarmgenerated power. Therefore, control of the windfarm power to meet the stability and quality requirements becomes important. Active control of windfarm power, however, is challenging because the windfarm output power can only be reliably predicted for a short period of time (i.e., ultrashort term power prediction), and large variations exist in the windturbine output power. In this paper, an optimal active power control scheme is proposed to maximize the running time of each wind turbine, and minimize the onand/oroff switching of wind turbines, resulting in substantial reduction of windturbine wear and thereby, maintenance cost, and extension of windturbine lifetime, all together, a significant saving of operation cost of the whole wind farm. The proposed approach is illustrated by implementing it to the active power allocation of a windfarm model in simulation.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Multi Objective Optimization Approach to Active Power Control of Wind Farm
typeJournal Paper
journal volume136
journal issue2
journal titleJournal of Solar Energy Engineering
identifier doi10.1115/1.4026636
journal fristpage21026
journal lastpage21026
identifier eissn1528-8986
treeJournal of Solar Energy Engineering:;2014:;volume( 136 ):;issue: 002
contenttypeFulltext


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