Coordinated voltage control for large-scale wind farms with ESS and SVG based on MPC considering wake effect

IF 2.6 4区 工程技术 Q3 ENERGY & FUELS Frontiers in Energy Research Pub Date : 2024-07-31 DOI:10.3389/fenrg.2024.1443626
Kuichao Ma, Yinpeng Chen, Shuaifeng Wang, Qiang Wang, Kai Sun, Wei Fan, Heng Nian, Juan Wei
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Abstract

The wake effect reduces the wind speed at downstream wind turbines (WTs), making it necessary for the central controller to collect wind power generation data from each WT. However, wind farms (WFs) face a more complex problem in maintaining the voltage stability at the WT terminal while following the transmission system operator (TSO) instructions due to the information collection as well as the possible data loss during transmission. Therefore, this study proposes a coordinated control method for WTs and multiple power sources based on model predictive control under wake disturbance conditions, aiming to reduce the average voltage deviation in WT terminals and go close to the rated voltage and ensure effective compliance with TSO commands in large-scale WFs. Accordingly, the Jensen wake model was utilized to accurately calculate the available active and reactive power limits for each WT. Energy storage systems and static Var generators were modeled to coordinate and maintain the voltage in all WT terminals within the feasible range, providing peak shaving and valley filling support to reduce wind energy waste and shortfall, thereby enhancing the economic and operational reliability of WF. Further, the effectiveness of the proposed method was validated in MATLAB/Simulink.
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基于 MPC(考虑唤醒效应)的带 ESS 和 SVG 的大规模风电场协调电压控制
尾流效应会降低下游风力涡轮机(WT)的风速,因此中央控制器有必要收集每个风力涡轮机的风力发电数据。然而,由于信息收集以及传输过程中可能出现的数据丢失,风电场(WFs)面临着一个更为复杂的问题,即在遵循输电系统运营商(TSO)指令的同时,如何保持风电场终端的电压稳定。因此,本研究提出了一种基于唤醒扰动条件下模型预测控制的风电机组和多电源协调控制方法,旨在降低风电机组终端的平均电压偏差,使其接近额定电压,并确保大规模风电机组有效遵从 TSO 指令。因此,詹森唤醒模型被用来精确计算每个风电机组的可用有功和无功功率限制。储能系统和静态可变发电机通过建模来协调并维持所有风电机组终端的电压在可行范围内,提供削峰填谷支持,减少风能浪费和不足,从而提高风电场的经济性和运行可靠性。此外,还在 MATLAB/Simulink 中验证了所提方法的有效性。
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来源期刊
Frontiers in Energy Research
Frontiers in Energy Research Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
3.90
自引率
11.80%
发文量
1727
审稿时长
12 weeks
期刊介绍: Frontiers in Energy Research makes use of the unique Frontiers platform for open-access publishing and research networking for scientists, which provides an equal opportunity to seek, share and create knowledge. The mission of Frontiers is to place publishing back in the hands of working scientists and to promote an interactive, fair, and efficient review process. Articles are peer-reviewed according to the Frontiers review guidelines, which evaluate manuscripts on objective editorial criteria
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