Enhancing distribution system stability and efficiency through multi‐power supply startup optimization for new energy integration

IET Generation Transmission & Distribution, Journal Year: 2024, Volume and Issue: 18(21), P. 3487 - 3500

Published: Oct. 14, 2024

Abstract This paper addresses the challenge of maximizing power capture from new energy sources, including coal, wind, solar, and hydroelectric power, which often lack sufficient inertia support. deficiency can lead to frequency instability cascading failures within system. A cooperative optimization model for start‐up multiple supplies, designed enhance integration sources while maintaining system stability is proposed. The incorporates primary modulation intrinsic support capabilities self‐synchronous voltage source field stations, considering dynamic constraints. Additionally, it employs units with provide during curtailment, particularly when conventional cannot meet standards due existing Extensive simulations comparative analyses demonstrate that proposed improves utilization by up 37.5% reduces operational costs approximately 16%, enhancing overall efficiency in high consumption scenarios.

Language: Английский

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Revolutionizing photovoltaic consumption and electric vehicle charging: A novel approach for residential distribution systems

IET Generation Transmission & Distribution, Journal Year: 2024, Volume and Issue: 18(17), P. 2822 - 2833

Published: Aug. 8, 2024

Abstract Electric vehicles (EVs) and small photovoltaic (PV) installations advance residential power grids by lowering charging costs fostering eco‐friendly operations. Yet, the variable nature of EV presents challenges to grid reliability. This research introduces a Monte Carlo‐based simulation for predicting loads systematic method that integrates ‘green electricity’ pricing scheme with joint optimization model PV management. By applying an improved ant lion optimizer (IALO) algorithm enriched differential evolution features, strategy markedly enhances performance is devised. In park scenario, this reduced mean square error load 11.82%, smoothed curve, stability. When compared particle swarm (PSO) grey wolf (GWO) algorithms, IALO boosted overall revenue 16.8% 12.8%, increased utilization 162.3% 37.1%, significantly cut carbon emissions 159.6% 31.6%, respectively. These outcomes affirm financial, environmental, functional benefits our proposed approach.

Language: Английский

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Integrated Planning and Operation Dispatching of Source–Grid–Load–Storage in a New Power System: A Coupled Socio–Cyber–Physical Perspective

Energies, Journal Year: 2024, Volume and Issue: 17(12), P. 3013 - 3013

Published: June 19, 2024

The coupling between modern electric power physical and cyber systems is deepening. An increasing number of users are gradually participating in operation control, engaging bidirectional interactions with the grid. evolving new system transforming into a highly intelligent socio–cyber–physical system, featuring increasingly intricate expansive architectures. Demands for stable becoming more specific rigorous. confronts significant challenges areas like planning, dispatching, operational maintenance. Hence, this paper aims to comprehensively explore potential synergies among various components from multiple viewpoints. It analyzes numerous core elements key technologies fully unlock efficiency coupling. Our objective establish solid theoretical foundation practical strategies precise implementation integrated planning dispatching source–grid–load–storage systems. Based on this, first delves concepts source, grid, load, storage, exploring developments emerging changes each domain within context. Secondly, it summarizes pivotal such as data acquisition, collaborative security measures, while presenting reasonable prospects their future advancement. Finally, extensively discusses immense value applications concept This includes its assistance regards large-scale engineering projects extreme disaster management, facilitating green energy development desertification regions, promoting construction zero-carbon parks.

Language: Английский

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Capacities of carbon, germanium, aluminum nitride, and aluminum phosphide nanotubes and nanocages as anode electrodes in Li-, Na-, and Mg-ion batteries

Ionics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 3, 2025

Language: Английский

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N2O Reduction on Surfaces of V-Si48, V-C48, V-B24N24, V-CNT(6, 0) and V-BNNT(6, 0)) as Catalysts

Silicon, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 27, 2025

Language: Английский

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Ozone Decomposition on Surfaces of Metal Doped Nanocages (V2-Si48, V2-C48 and V2-B24P24) as Effective Catalysts

Silicon, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

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Examination of oxygen reduction reaction on surfaces of Sc-Si52, Sc-C52 and Sc-Al26P26

Ionics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Language: Английский

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Examination of potential of Si52, C52, Al26P26 nanocages and their halogen doped derivatives as anodes in metal-ion battery

Chemical Physics Letters, Journal Year: 2025, Volume and Issue: unknown, P. 142122 - 142122

Published: April 1, 2025

Language: Английский

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SO2 Hydro-Desulfurization to H2S Production Through the Cu-C84, Cu-Si84, Cu-CNT(9, 0) and Cu-SiNT(9, 0) Catalysts

Silicon, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

Language: Английский

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Adaptive two-step power prediction and improved perturbation method for accelerated MPPT with reduced oscillations in photovoltaic systems

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 5328 - 5338

Published: May 5, 2025

Language: Английский

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