报告时间：2022年04月13日-2022年06月15日每周三16：00-17：00
报告地点：腾讯会议ID：258 144 086
报告人：Nikolaos Chatziargyriou, Panos Kotsampopoulos, George Sideratos, Iasonas Kouveliotis, Dimitris Lagos, Athanasios Vasilakis, Theodoros Konstantinou
系列报告简介：
This 10-week webinar will present advanced topics in modern power systems. The increasing penetration of renewable and distributed generation connected at the distribution networks creates a number of challenges and provides new opportunities for a more efficient and secure system operation. The integration of distributed energy resources results in a drastic increase in the penetration of power electronics that interface these resources that change the operating philosophy, but also provide effective control capabilities. In particular, the increased penetration of DER allows a more decentralized operation of the system that increases its efficiency, reliability and resilience. The coordinated operation of DER at the distribution level leads to the concept of microgrids, that are able to unlock the full benefits of DER. Microgrids control is not straightforward, it faces many challenges at the primary and secondary levels due to their unique characteristics, e.g. small size, short lines, high resistances, low short circuit currents, etc. Several techniques have been developed and applied that will be reviewed in the webinar. These techniques need to be tested in realistic environments before their deployment in the field. This is achieved through advanced Hardware in the Loop applications, which will be described in the webinar. The techniques used for Microgrids’ control can be broadly distinguished in centralized, distributed and decentralized techniques. These techniques will be presented and discussed. The Blockchain technology is a special decentralized technology that is lately attracting interest. Blockchain applications in power system operation have distinct advantages regarding cybersecurity, etc. and characteristic examples will be also presented in the webinar. The increased operation of renewable energy sources increases the uncertainty of operation and makes the development of accurate forecasting techniques indispensable. In the webinar advanced forecasting techniques for wind and solar production, as well as demand, will be described and characteristic applications will be presented.
学术报告1：
Introduction to the Courses：Decentralized Energy Systems & Active Distribution Networks & Microgrids
报告时间：2022年04月13日（周三）16：00-17：00
学术报告2：
Active Distribution Networks & Microgrids--Part 1/3: Inverter Control
(1) Operating modes (grid forming, grid following)
(2) Voltage support (droop, centralized voltage control, etc.)
(3) Frequency Support (droop, virtual inertia, etc.)
报告时间：2022年04月20日（周三）16：00-17：00
学术报告3：
Active Distribution Networks & Microgrids--Part 2/3: Microgrids
(1) Introduction
(2)Protection (issues, adaptive protection)
(3)Primary Control (Centralized, Distributed, Communication vs Communication free)
报告时间：2022年04月27日（周三）16：00-17：00
学术报告4：
Active Distribution Networks & Microgrids--Part 3/3: Microgrids
(1) Secondary Control (Centralized, Distributed, Communication vs Communication free)
(2) EMS
(3) The Kythnos Microgrid
报告时间：2022年05月04日（周三）16：00-17：00
学术报告5：
Advanced Laboratory Testing for Active Distribution Networks & Microgrids
(1)Testing chain
(2) Cases:
Frequency Control (PHIL) – droop, inertia
Centralized Secondary Control – PV, diesel, etc.
Microgrid Mode Transition
Coordinated Voltage Control
Adaptive Protection Islands, etc.
报告时间：2022年05月11日（周三）16：00-17：00
学术报告6：
Decentralization – Blockchain--Part 1/2: Decentralization
(1) Distributed optimization models for large-scale problems
(2) Applications on the operation and control of active distribution grids, formulations, decomposition techniques
(3) Case studies: Economic dispatch and voltage control
报告时间：2022年05月18日（周三）16：00-17：00
学术报告7：
Decentralization – Blockchain--Part 2/2: Blockchain
(1) Introduction to blockchain technologies
(2) The Ethereum Virtual Machine
(3) Decentralized energy procurement protocols
(4) Decentralized markets, Local Energy Communities
报告时间：2022年05月25日（周三）16：00-17：00
学术报告8：
Forecasting: Part 1/3
(1) Linear regression:
Linear Basis Function Models
Regularized Linear Regression
(2) Clustering:
K-means
Self-organized maps
(3) The prediction problem:
Introduction to prediction
Train, validate, and test
报告时间：2022年06月01日（周三）16：00-17：00
学术报告9：
Forecasting: Part 2/3
(1) Artificial Neural Networks:
Perceptron
Multi-Layer Perceptions
Activation Functions
(1) Training:
Forward Propagation Stage
Backpropagation Stage
Loss function
Optimization: Stochastic Gradient Descent, e.g
Overfitting/Underfitting: Dropout, Regularization
(2) Deep Learning Networks:
Convolutional Neural Networks
Recurrent Neural Networks
Long Short-term Memory Neural Networks
Deep Autoencoders: Denoising Autoencoders, Variational Autoencoders, Conditional Variational Autoencoders
报告时间：2022年06月08日（周三）16：00-17：00
学术报告10：
Forecasting: Part 3/3
(1) 1st prediction model: using self-organized maps and radial basis function neural nets
(2) 2nd prediction model: using fuzzy clustering and RBF-convolutional nets
(3) 3rd prediction model: parametric probabilistic model
报告时间：2022年06月15日（周三）16：00-17：00
