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Open AccessArticle

Output Power Smoothing Control for a Wind Farm Based on the Allocation of Wind Turbines

1
College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
2
State Grid Nanjing Power Supply Company, State Grid Jiangsu Electric Power CO. LTD., Nanjing 210008, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(6), 980; https://doi.org/10.3390/app8060980
Received: 18 May 2018 / Revised: 5 June 2018 / Accepted: 13 June 2018 / Published: 15 June 2018
(This article belongs to the Special Issue Large Grid-Connected Wind Turbines)
This paper presents a new output power smoothing control strategy for a wind farm based on the allocation of wind turbines. The wind turbines in the wind farm are divided into control wind turbines (CWT) and power wind turbines (PWT), separately. The PWTs are expected to output as much power as possible and a maximum power point tracking (MPPT) control strategy combining the rotor inertia based power smoothing method is adopted. The CWTs are in charge of the output power smoothing for the whole wind farm by giving the calculated appropriate power. The battery energy storage system (BESS) with small capacity is installed to be the support and its charge and discharge times are greatly reduced comparing with the traditional ESSs based power smoothing strategies. The simulation model of the permanent magnet synchronous generators (PMSG) based wind farm by considering the wake effect is built in Matlab/Simulink to test the proposed power smoothing method. Three different working modes of the wind farm are given in the simulation and the simulation results verify the effectiveness of the proposed power smoothing control strategy. View Full-Text
Keywords: power smoothing; wind farm; wind turbine allocation; rotor inertia; power wind turbine; control wind turbine; battery energy storage system; wake effect power smoothing; wind farm; wind turbine allocation; rotor inertia; power wind turbine; control wind turbine; battery energy storage system; wake effect
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MDPI and ACS Style

Zhu, Y.; Zang, H.; Cheng, L.; Gao, S. Output Power Smoothing Control for a Wind Farm Based on the Allocation of Wind Turbines. Appl. Sci. 2018, 8, 980.

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