To enhance the operational dependability of renewable energy power systems with high proportions, this study proposes a multi-timescale optimization strategy based on the inertia evaluation model. Firstly, the inertia evaluation model is established...
As the penetration rate of renewable energy continues to rise, the equivalent inertia of power systems has significantly decreased, leading to a marked degradation in frequency stability support capabilities. Under conditions of high renewable energy...
In order to solve the problem that the voltage source converter based multi-terminal direct current (VSC-MTDC) system cannot provide inertia and participate in frequency modulation after connecting to the AC power grid under the traditional control s...
The aim of this paper is to study the impact of the variability of inertia of interconnected electrical systems on transient stability. In the first part of the paper, after formulating the transient stability problem as a boundary value problem, we...
Objectives: We examined the effects of sex and inertia on within-session reliability of flywheel half-squat performance outcomes. Methods: A total of 21 males and 25 females (aged 24.9 and 23.6, respectively) performed two sets of six valid repetitio...
Unlike Synchronous Generators (SGs), Virtual Synchronous Generators (VSGs) inertia is not fixed once it is manufactured and only has an upper limit defined by its energy storage components. In this paper, a novel Enhanced Virtual Inertia Controller (...
This paper provides virtual inertia and mechanical power-based double synchronous controller (DSC) for power converters based on the d- and q-components of the converter current to assure the stable operation of the grid with the penetration of large...
This paper develops a lightweight, safety-constrained supervisory scheduler for a switching three-level neutral-point-clamped (NPC) grid-forming (GFM) inverter. The scheduler maps grid strength, DC-source resistance, an AC active-power reference chan...
Renewable energy’s growing penetration erodes traditional power systems’ inherent dynamic symmetry—balanced inertia, damping, and frequency response. This paper proposes a self-adaptive virtual synchronous generator (VSG) control st...
Aiming at the problems of the severe active–reactive power coupling, insufficient adaptive inertia–damping regulation, and degraded dynamic performance of virtual synchronous generators (VSGs) under the operating conditions of a weak grid...
To address the reactive power optimization control problem in offshore wind farms (OWFs), this paper proposes an adaptive reactive power optimization control strategy based on an improved Particle Swarm Optimization (PSO) algorithm. Firstly, an OWF m...
There is an urgent demand to reduce compression power consumption in Compressed Air Energy Storage (CAES) systems. Wet compression has been widely used in gas turbines to reduce compressor power consumption and improve thermal efficiency, but this te...
This paper assesses the Wind Power Penetration Limit (WPPL) of the Colombian Caribbean Power System through a scenario-based parametric sensitivity analysis. The study is conducted on a newly developed open-source 36-bus testbed implemented in Pandap...
This study proposes a hybrid PSO-EDO algorithm, integrating Particle Swarm Optimization (PSO) and the Exponential Distribution Optimizer (EDO) for efficient and accurate estimation of soil property parameters. The proposed algorithm combines the stre...
With the increasing penetration of inverter-based photovoltaic (PV) generation, utility-scale grid-connected PV plants are frequently exposed to voltage regulation and voltage stability challenges driven by intermittent irradiance and limited reactiv...
The increasing penetration of converter-interfaced renewable generation and the declining share of synchronous generation reduce voltage and frequency support. This paper proposes a grid-forming (GFM) converter capacity ratio estimation method and a...
This work develops a grid-forming control framework integrated with supplementary energy storage, so that permanent-magnet direct-drive wind turbines can deliver primary frequency regulation and inertial support services. Current stability research c...
Generative AI-enabled teaching increasingly requires evaluation mechanisms that can process large candidate indicator sets without being dominated by uneven category frequencies or redundant variables. Existing filter methods are computationally inex...
With the transition of China’s energy structure toward clean and low-carbon development, the rapidly expanding deployment of renewable energy resources, particularly wind and photovoltaic power, has continued to increase. However, the volatilit...