首页> 外文期刊>Journal of solar energy engineering >A Multi-Objective Optimization Approach to Active Power Control of Wind Farm
【24h】

A Multi-Objective Optimization Approach to Active Power Control of Wind Farm

机译:风电场有功功率控制的多目标优化方法

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

With more and more wind farms integrated into the power grid, the stability and security of the grid can be significantly affected by the wind-farm-generated power, due to the intermittent and volatile nature of the wind-farm-generated power. Therefore, control of the wind-farm power to meet the stability and quality requirements becomes important. Active control of wind-farm power, however, is challenging because the wind-farm 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 wind-turbine 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 on-andlor-off switching of wind turbines, resulting in substantial reduction of wind-turbine wear and thereby, maintenance cost, and extension of wind-turbine 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 wind-farm model in simulation.
机译:随着越来越多的风电场整合到电网中,由于风电场产生的电力具有间歇性和波动性,风电场产生的电力会严重影响电网的稳定性和安全性。因此,控制风电场功率以满足稳定性和质量要求变得重要。然而,主动控制风电场功率是有挑战性的,因为只能在短时间内可靠地预测风电场输出功率(即,超短期功率预测),并且风轮机输出功率存在较大的变化。本文提出了一种最优的有功功率控制方案,以最大化每个风力涡轮机的运行时间,并最小化风力涡轮机的通断切换,从而显着降低风力涡轮机的磨损,从而降低维护成本,以及延长风力涡轮机的使用寿命,共同节省了整个风力发电场的运营成本。通过在仿真中将其实现为风电场模型的有功功率分配来说明该方法。

著录项

  • 来源
    《Journal of solar energy engineering》 |2014年第2期|021026.1-021026.8|共8页
  • 作者单位

    School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;

    School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;

    Department of Mechanical and Aerospace Engineering, Rutgers University, Piscataway, NJ 08854;

    School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;

    College of Electrical and Information Engineering, Southwest University for Nationalities, Chengdu 611731, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    active wind-farm power control; active power allocation; multi-objective optimization;

    机译:主动风电场功率控制;有功功率分配;多目标优化;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号