AUTOR DO BLOG ENG.ARMANDO CAVERO MIRANDA SÃO PAULO BRASIL

GIF 1 GIF 2

“GRAÇAS A DEUS PELA VIDA,PELA MINHA FAMÍLIA,PELO TRABALHO.PELO PÃO DE CADA DIA,POR NOS PROTEGER DO MAL”

“SE SEUS PROJETOS FOREM PARA UM ANO,SEMEIE O GRÂO.SE FOREM PARA DEZ ANOS,PLANTE UMA ÁRVORE.SE FOREM PARA CEM ANOS,EDUQUE O POVO”

https://picasion.com/
https://picasion.com/

sábado, 16 de maio de 2026

Electrical Circuit Analysis Por Uday A. Bakshi, Late Ajay V. Bakshi


 

Лекции по теории цепей-Lectures on Circuit Theory-Год издания: 1991 Автор: С. И. Баскаков Жанр или тематика: Электротехника-Year of publication: 1991 Author: S.I. Baskakov Genre or subject: Electrical engineering

 Lectures on Circuit Theory 30285K (download pdf) 1991 edition (follow) Added: 10.03.2024 Cover image Abstract 

Year of publication: 1991

 Author: S.I. Baskakov 

Genre or subject: Electrical engineering Publisher: Moscow Power Engineering Institute Publishing House ISBN: 978-5-7046-0027-1

 Language: Russian

 Format: PDF

 Description: A systematic presentation of the course material "Fundamentals" "Circuit Theory" in accordance with the modern university curriculum. Methods for analyzing stationary harmonic modes of linear circuits, the theory of four-terminal networks, the characteristics of frequency-selective circuits and filters, and the fundamentals of nonlinear circuit theory are discussed. Methods for determining the response of a linear circuit to pulsed influences are examined in detail. The theory of circuits with distributed parameters is presented. Methods for synthesizing linear two-terminal networks are discussed. A separate chapter is devoted to the use of computers for calculating complex circuits. For students majoring in radio engineering at universities.

ORIGINAL LINK: http://flibusta.site/b/775497/download 

ALTERNATIVE LINK 1:https://www.mediafire.com/file/xe0kppe8zhtu4g9/Baskakov.pdf/file 

ALTERNATIVE LINK 2:https://mega.nz/file/MQ1E2Cga#ZGURJ0wtbOm3inwijscEdhvyHprUlWclIDxNNvBuW-w 

sexta-feira, 15 de maio de 2026

A Deep Reinforcement Learning Approach to DC-DC Power Electronic Converter Control with Practical Considerations-Nafiseh Mazaheri * , Daniel Santamargarita , Emilio Bueno , Daniel Pizarro and Santiago Cobrece



A Deep Reinforcement Learning Approach to DC-DC Power Electronic Converter Control with Practical Considerations Nafiseh Mazaheri * , Daniel Santamargarita , Emilio Bueno , Daniel Pizarro and Santiago Cobreces Department of Electronics, Alcalá University (UAH), Plaza San Diego S/N, 28801 Madrid, Spain

Abstract: In recent years, there has been a growing interest in using model-free deep reinforcement learning (DRL)-based controllers as an alternative approach to improve the dynamic behavior, efficiency, and other aspects of DC–DC power electronic converters, which are traditionally controlled based on small signal models. These conventional controllers often fail to self-adapt to various uncertainties and disturbances. This paper presents a design methodology using proximal policy optimization (PPO), a widely recognized and efficient DRL algorithm, to make near-optimal decisions for real buck converters operating in both continuous conduction mode (CCM) and discontinuous conduction mode (DCM) while handling resistive and inductive loads. Challenges associated with delays in real-time systems are identified. Key innovations include a chattering-reduction reward function, engineering of input features, and optimization of neural network architecture, which improve voltage regulation, ensure smoother operation, and optimize the computational cost of the neural network. The experimental and simulation results demonstrate the robustness and efficiency of the controller in real scenarios. The findings are believed to make significant contributions to the application of DRL controllers in real-time scenarios, providing guidelines and a starting point for designing controllers using the same method in this or other power electronic converter topologies. 

ORIGINAL LINK: https://www.mdpi.com/1996-1073/17/14/3578 

sábado, 9 de maio de 2026

Inertia Supervision for BESS Grid-forming Inverter TESI DI LAUREA MAGISTRALE IN Electrical ENGINEERING INGEGNERIA Elettrica Author: Seifeldin Nafea-POLITECNICO MILANO

Inertia Supervision for BESS Grid-forming Inverter TESI DI LAUREA MAGISTRALE IN Electrical ENGINEERING INGEGNERIA Elettrica Author: Seifeldin Nafea 

 Introduction 
 In recent years, the renewable energy generation started to rise dramatically for most countries. In Europe, following the introduction of the renewable energy directive 2009/28/EC, the region increased the share of renewable energies in energy consumption to 20% by 2020, according to Eurostat [1]. Out of such energy consumption, 23% was consumed by the electricity sector as the second highest source of energy consumption [1]. Nevertheless, renewable energy generation is expected to continue rising in the coming years as part of the decarbonization plan. The directive EU/2018/2001 has set the renewable energy target to reach 32% by the year 2030 [2]. Subsequently, a provisional agreement was accepted to raise that target to at least 42.5%, with an aim for 45% [2]. The Continuous rise of renewable generation in the electricity sector can cause some problems for the grid, which need to be addressed. In traditional power systems, the synchronous generator is the main source offering support to the grid through its kinetic energy and governor control. The synchronous machine has the capability to participate in the primary frequency control using the governor speed control mechanism and dampen the system dynamics through its inertia. However, the power converters connecting renewables with the grid do not possess such capabilities. In fact, their control structure is more focused on extracting the maximum power from the renewable source. With the growth of renewable energy sources, the use of synchronous machines is expected to decline, hence decreasing the system inertia and support [3]. Remarkable efforts are focused on developing a control approach that allows power converters to mimic the behavior of a synchronous machine. A captivating control family has emerged, called ‘Grid-forming Inverters,’ allowing the inverters to provide some of the synchronous machine functionalities like primary frequency control, oscillation damping, and contributing to system inertia. This control methodology is best suited to be implemented with batteries. The high ramp rate along with power and energy characteristics of batteries ensures compliance with the control output power signals. The grid-forming presents multiple control approaches [10], with the utmost attention focused on the so called “Virtual Synchronous Machine”. It directs the power converters to act in a similar manner to a synchronous generator, thus providing all its functions mentioned above.