<td id="k1ka4"><strike id="k1ka4"></strike></td>
    <p id="k1ka4"></p>

    1. <track id="k1ka4"></track>
      1. <td id="k1ka4"></td>
        1. <td id="k1ka4"><option id="k1ka4"></option></td>

          新聞中心

          News Center

          Advanced Topics in Modern Power Systems系列報告十則


          報告時間20220413-20220615 每周三 1600-1700

          報告地點:騰訊會議ID258 144 086

          報告人:Nikolaos Chatziargyriou, Panos Kotsampopoulos, George Sideratos, Iasonas Kouveliotis, Dimitris Lagos, Athanasios Vasilakis, Theodoros Konstantinou

          系列報告簡介:

          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.

          學術報告1

          Introduction to the CoursesDecentralized Energy Systems & Active Distribution Networks & Microgrids

          報告時間:20220413日(周三) 1600-1700

          學術報告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.)

          報告時間:20220420日(周三) 1600-1700

          學術報告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)

          報告時間:20220427日(周三) 1600-1700

          學術報告4

          Active Distribution Networks & Microgrids--Part 3/3: Microgrids

          (1) Secondary Control (Centralized, Distributed, Communication vs Communication free)

          (2) EMS

          (3) The Kythnos Microgrid

          報告時間:20220504日(周三) 1600-1700

          學術報告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.

          報告時間:20220511日(周三) 1600-1700

          學術報告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

          報告時間:20220518日(周三) 1600-1700

          學術報告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

          報告時間:20220525日(周三) 1600-1700

          學術報告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

          報告時間:20220601日(周三) 1600-1700

          學術報告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

          報告時間:20220608日(周三) 1600-1700

          學術報告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

          報告時間:20220615日(周三) 1600-1700



          免费人成在线观看视频播放,色五月丁香六月欧美综合,日本人妻japanesexxxx,真实国产乱子伦清晰对白视频