讲座预告 | 2021年“卓越电气”海外学者云讲坛暨研究生学术前沿系列讲座第二期
讲座预告
东南大学2021年“卓越电气”海外学者云讲坛
暨研究生学术前沿系列讲座
活动简介
随着“新能源电力系统、高端装备、新能源汽车”等新兴产业的快速发展，以电气化/再电气化为支撑、以电能为核心的新一轮能源革命与产业变革，给电气工程学科发展带来历史性的新机遇。
在东南大学卓越引智计划的大力支持下，江南体育官网入口 定于2021年9月19日起举行“卓越电气”海外学者云讲坛暨研究生学术前沿系列讲座活动，围绕智慧能源系统、新型电力系统、电机及驱动系统、电力电子技术、交通电气化等，研讨本领域的最新研究成果和面临的技术瓶颈与挑战，促进电气工程领域学者之间的学术交流，提升研究生的国际视野与学术素养。
主办单位：
江南jn体育
协办单位：
江南jn体育 青年教师协会
IEEE PES Nanjing Chapter
第二期简介
第二期活动有幸邀请到电力系统领域知名专家、意大利智能电网及智慧城市实验室主任Pierluigi Siano教授带来题为“Energy Communities in Smart Grids: Scalability and Privacy Issues”的精彩学术报告。
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讲座时间
2021年9月24日15:00-17:00
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讲座方式
腾讯会议线上
会议链接：
https://meeting.tencent.com/p/7787002452
报告嘉宾
Professor atthe University of Salerno
Pierluigi Siano (M’09–SM'14) received the M.Sc. degree in electronic engineering and the Ph.D. degree in information and electrical engineering from the University of Salerno, Salerno, Italy, in 2001 and 2006, respectively. He is a Professor and Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department of Management & Innovation Systems, University of Salerno. In 2021 he was appointed as a Distinguished Visiting Professor in the Department of Electrical& Electronic Engineering Science within the Faculty of Engineering and the built Environment, University of Johannesburg, South Africa.
His research activities are centered on demand response, on energy management, on the integration of distributed energy resources in smart grids, on electricity markets and on planning and management of power systems. In these research fields, he has co-authored more than 550articles including more than 300 international journal papers that received in Scopus more than 11000 citations with an H-index equal to 51. In 2019 and 2020he has been awarded as Highly cited Researcher in Engineering by Web of ScienceGroup. He has been the Chair of the IES TC on Smart Grids. He is Editor for the power & Energy Society Section of IEEE Access, IEEE TRANSACTIONS ON POWER SYSTEMS, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, IEEE SYSTEMS, Open Journal of the IEEE IES, IET Smart Grid, and IET Renewable power generation.
报告内容
A novel scalable and privacy-preserving distributed parallel optimization that allows the participation of large-scale aggregation of prosumers with residential PV-battery systems in the market for the ancillary service (ASM) is proposed in this paper. To consider both reserve capacity and reserve energy, day-ahead and real-time stages in the ASM are considered. A method, based on hybrid Variable Neighborhood Search (VNS) and distributed parallel optimization is designed for the day ahead and real-time optimization. Different distributed optimization methods are compared and designed and a new distributed optimization method based on Linear Programming (LP) is designed that overcomes previous methods based on integer and Quadratic programming (QP). The proposed LP-based optimization can be easily coded up and implemented on microcontrollers and connected to a designed Internet of Things (IoT) based architecture. Both day-ahead and real-time proposed optimization methods, by allocating the computational effort among local resources, are highly scalable and fulfill the privacy of prosumers.