学术资讯
当前位置: 首页 >> 香港马会网站资讯 >> 学术资讯 >> 正文
[Call for paper] Special Issue of International Journal of Electrical Power & Energy Systems
发布时间:2019年03月09日 23:45    作者:    点击:[]

Advanced modeling, asset management and control technologies for integration of large scale wind power into electrical power systems

The role of wind power generation has become significant in modern power systems due to its growing penetration level. The continuously increasing scale of modern wind farms and turbines has brought new challenges to system operation, including power quality, system reliability, stability, operation & maintenance, planning and others. To cope with the aforementioned problems, contemporary wind farms are required to meet increasingly more stringent technical requirements by system operators. To be specific, the individual wind turbines should have the capability of Fault-Ride Through (FRT) to remain connected to the grid during faults to maintain the system stability. Besides, modern wind farms are expected to become grid-friendly and required to support the system if necessary, i.e. to provide ancillary services. These services include voltage and frequency regulation, supplemental reserve/black-start, power oscillation damping, etc. Different hierarchical levels of wind power control, including individual wind turbines, wind farms, and wind farm clusters, need to be properly coordinated. The studies on proper modeling of wind power for different study purposes, advanced wind power control technologies (e.g. optimal linear/non-linear control, robust control), and coordination with additional devices (e.g. energy storage, SVC, SVG), are highly demanded to enhance the integration level. The need for efficient asset management, supervision and operational life time prognostics of individual units, or entire wind farms has also been identified, motivating work on implementation of advanced sensing, inspection, data mining, modeling, condition monitoring and ICT technologies for this purpose. Applications related to visualization tools, advanced early warning systems, open loop control, have been also identified to be critically important for optimal integration and utilization of wind farms.

Topics of interest include, but are not limited to:

·         Modeling of wind turbine/wind farm/wind cluster for different study purposes

·         Power system analysis methods for systems with large scale wind power integration

·         Availability analysis of ancillary services

·         Novel DC and HVDC connection design for the wind farm

·         Novel FRT control design

·         Novel controller design for ancillary service provided by wind power generators/farms

·         Wind farm level control strategies to deal with the environmental concerns (noise, etc.)

·         Coordination of wind power and additional devices (energy storage, SVC, SVG, and etc.)

·         Wind power forecasting

·         Improved monitoring, diagnostic and prognostic solutions for turbine systems/subassemblies and farms

Important Dates:

Submission open: June 1st 2019

Submission deadline: September 1st 2019

Completion of review and revision: January 1st 2020

Guest Editors:

Prof. Haoran Zhao

Shandong University

Prof. Zhe Chen

Aalborg University

Prof. Michael Negnevitsky

University of Tasmania

Prof. Kai Strunz

Technical University of Berlin

Prof. Peng Zhang

University of Connecticut

Dr. Sinisa Djurovic

University of Manchester

Prof. Yongning Chi

China Electrtic Power Research Institute

Prof. Lei Ding

Shandong Unviersity

Prof. Weihao Hu

University of Electronic Science and Technology of China

 

下一条:我院成功举办“现代电网保护与控制学术报告会”

关闭

Copyright © 2019 www.ee.sdu.edu.cn All rights reserved. 版权所有:香港马会开奖结果直播大学香港马会资料大全工程香港马会网站
电话:0531-88392369 传真:0531-88392369 香港马会开奖结果直播大学千佛山校区 济南市经十路17923号 邮编 250061 香港马会开奖结果直播大学兴隆山校区 济南市二环东路12550号 邮编 250002