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Dear Colleagues,

Achieving stable operation of control systems and new energy power systems is among the biggest challenges that still need more reliable, adaptive, and integrated solutions to confront day-to-day problems. Emerging technologies can definitely introduce an evolution supporting such systems in many aspects.

This Special Issue aims to group all the alternative paradigms that are being developed toward a stable operation of control systems and new energy power systems. These include, though not exclusively:

Smart grids;
Optimization;
Renewable energy;
Power systems;
Control systems;
Systems security;
Artificial intelligence.

Dr. Mohamed S. Abdalzaher
Guest Editor

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Keywords

smart grids
power system modeling
soft computing techniques
optimization algorithms
renewable energies
control systems

Published Papers (2 papers)

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Research

23 pages, 9276 KiB

Open AccessArticle

Optimal Control of a Single-Stage Modular PV-Grid-Driven System Using a Gradient Optimization Algorithm

by Saleh Masoud Abdallah Altbawi, Ahmad Safawi Bin Mokhtar, Saifulnizam Bin Abdul Khalid, Nusrat Husain, Ashraf Yahya, Syed Aqeel Haider, Rayan Hamza Alsisi and Lubna Moin

Energies 2023, 16(3), 1492; https://0-doi-org.brum.beds.ac.uk/10.3390/en16031492 - 02 Feb 2023

Cited by 8 | Viewed by 1378

Abstract

There are many studies that focus on extracting harmonics from both DC and AC sides of grid-interfaced photovoltaic (PV) systems. Based on these studies, the paper introduces an efficient method depending on hybrid DC voltage, and an active and reactive power (DC-V PQ) control scheme in a single-stage three-phase grid-interfaced PV system. The proposed scheme is designed to regulate DC voltage to minimize power loss and energy share between the network reconfiguration and the utility grid. Moreover, the technique is more effective at dealing with uncertainty and has higher reliability under various operating scenarios. These operations are the insertion of linear load 1, nonlinear load, and linear load 2. Moreover, a novel objective function (OF) is developed to improve the dynamic response of the system. OF is coupled with a particle swarm optimization (PSO) algorithm and a gradient optimization (GBO) algorithm. The analysis and the comparative study prove the superiority of GBO with counterfeits algorithm. Full article

(This article belongs to the Special Issue Towards Stable Operation and Control of New Energy Power System)

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16 pages, 6165 KiB

Open AccessArticle

ULP Super Regenerative Transmitter with Digital Quenching Signal Controller

by Somaya Kayed, Sherif Saleh and Heba Shawkey

Energies 2022, 15(19), 7123; https://0-doi-org.brum.beds.ac.uk/10.3390/en15197123 - 28 Sep 2022

Viewed by 1075

Abstract

This paper demonstrates an on–off keying (OOK) super-regenerative quenching transmitter operating in 402–405 MHz MICs band applications. To reduce power consumption, the transmitter is controlled by a novel digital quenching signal controller that generates a digital control signal to start transmitter operation when a baseband signal is input to the transmitter. The digital signal controller consists of an envelope detector, a comparator, and a quench timer designed using a state machine to synchronize the operation between the digital controller and the input baseband signal. The transmitter consists of a Colpitts oscillator operating in double operating frequency followed by a frequency divider by 2; this configuration reduces system area and improves phase noise and signal spectrum. The proposed transmitter is implemented using UMC 130 nm CMOS technology and a 1.2 V supply. Simulation shows that the proposed transmitter can meet MICS band mask specifications with data rates up to 1 Mbps and total power dissipation of 537 uW. Full article

(This article belongs to the Special Issue Towards Stable Operation and Control of New Energy Power System)

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