学术报告

信电号角系列学术报告:An adaptive approach to load leveling problem based on Volterra integral equations

发布日期:2018-04-16 浏览次数:

时间:2018年4月16日 星期一 下午2:00 - 3:00

地点:中国农业大学信电学院639

报告题目:基于伏尔泰拉积分方程自适应荷储动态平衡研究

报告人:Denis Sidorov (俄罗斯能源研究院西伯利亚分院研究院)

联系人:杨德昌,井天军

联系电话:13910770613,13366116222


Denis Sidorov is a Leading Researcher at Energy Systems Institute of Russian Academy of Sciences. He is Distinguished Guest Professor of Hunan University and Professor of Russian Academy of Sciences. His research interests include: nonlinear dynamical systems, power quality, inter-area oscillations, integral and differential equations theory, machine learning methods and forecasting. Dr. Sidorov is the author of more than 120 scientific papers and two monographs.

报告内容:

Development of reliable methods for optimized energy storage and generation is one of the most imminent challenges in modern power systems. In this presentation, an adaptive approach to load leveling problem using novel dynamic models based on the Volterra integral equations of the first kind with piecewise continuous kernels is proposed. These integral equations efficiently solve such inverse problem taking into account both the time dependent efficiencies and the availability of generation/storage of each energy storage technology. A direct numerical method is employed to find the least-cost dispatch of available storages. The proposed collocation type numerical method has second order accuracy and enjoys self-regularization properties, which is associated with confidence levels of system demand. This adaptive approach is suitable for energy storage optimization in real time. The efficiency of the proposed methodology is demonstrated on the Single Electricity Markets of Republic of Ireland and Sakhalin island in Russian Far East.


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