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Dear Colleagues,

The increasing trend of renewable energy use and energy storage technologies has led to new practices in modern power systems. These new practices require a strengthening of conventional energy systems to become dynamic networks that can communicate, store data, and make decisions allowing today’s energy industry to switch to modern smart networks, while increasing the use of clean renewables and conventional resources. Hence, efficient procedures are needed to address these issues successfully at academic and industrial levels alike. New solutions should also be sought to enable networks to deal with these developments, creating flexible energy networks that can host a high renewable-energy penetration, while cost-effectively maintaining acceptable levels of reliability and energy quality.

Hence, in this Special Issue, we are calling for original contributions that cover the emerging challenges in power system dynamics, operation, and control, including renewable energy systems, the integration of power electronics with renewable energy systems, and smart grids, all technologies and applications in modern power systems. It is our pleasure to provide a platform to bring together university scientists, researchers, and leading scientists to share their thoughts, ideas, experiences, and research results on all aspects of intelligent networks.

Dr. Ziad M. Ali
Dr. Shady H. E. Abdel Aleem
Guest Editors

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Published Papers (2 papers)

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Research

14 pages, 1939 KiB

Open AccessArticle

Critical Inertia Calculation Method of Generators Using Energy Balance Condition in Power System

by Jae-Young Yang, Yu Hoon Song and Kyung Soo Kook

Energies 2024, 17(5), 1097; https://0-doi-org.brum.beds.ac.uk/10.3390/en17051097 - 25 Feb 2024

Viewed by 566

Abstract

Critical inertia can be defined as the minimum kinetic energy stored in generators that should be kept for maintaining the frequency stability of the power system. As the frequency control performance of the power system is maintained according to its control criterion, during the inertia response time frame, the expected energy imbalance can be calculated by accumulating the imbalanced power caused by the credible contingency and calculating the available inertia response by considering the allowable operating limit of the frequency. Since the frequency control criterion can be met when the available inertia response becomes larger than the expected energy imbalance, the critical inertia can be calculated by the kinetic energy of the generators, of which the available inertia response is equal to the expected energy imbalance due to the contingency. With this in mind, this paper derives the energy balance condition for the frequency stability in the inertia response time frame based on the frequency control criterion and calculates the minimum inertia, which should be kept in the generators from the energy balance condition for meeting the criterion. In addition, the effectiveness of the proposed method is verified through various case studies employing Korean power systems. Full article

(This article belongs to the Special Issue Electrical Power System Dynamics: Stability and Control II)

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19 pages, 9455 KiB

Open AccessArticle

Optimized Circulating Current Control and Enhanced AC Fault Ride-through Capability Using Model Predictive Control for MMC-HVDC Applications

by Jahangeer Badar Soomro, Faheem Akhtar Chachar, Madad Ali Shah, Abdul Aziz Memon, Faisal Alsaif and Sager Alsulamy

Energies 2023, 16(13), 5159; https://0-doi-org.brum.beds.ac.uk/10.3390/en16135159 - 04 Jul 2023

Cited by 1 | Viewed by 782

Abstract

This paper presents a novel model predictive control (MPC) approach for suppressing circulating currents in MMC-based HVDC systems. The proposed MPC eliminates the need for PI-regulators and pulse width modulators, resulting in improved dynamic response and controllability. The methodology demonstrates exceptional efficacy in controlling output current and addressing voltage ripple concerns associated with sub module (SM) capacitors. An innovative, communication-free fault ride-through (FRT) method is also introduced, eliminating the need for a DC chopper and ensuring rapid recovery following faults. To overcome the computational challenges associated with the traditional MPC algorithm, an aggregate model of the MMC is proposed, significantly reducing predicted states, hardware requirements, and calculations. Simulations validate the robustness of the proposed MPC control algorithm in tracking AC side current, suppressing circulating current, and regulating capacitor voltages under various scenarios. Future research will explore system expansion, integration with renewable energy sources, and hardware-in-loop setup testing for further validation. Full article

(This article belongs to the Special Issue Electrical Power System Dynamics: Stability and Control II)

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