High-efficiency bulk procurement of intelligent photovoltaic energy storage containers for railway stations

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Using existing infrastructures of high-speed railways for photovoltaic

In this work, a methodology based on a geographic information system was established to evaluate the PV potential along rail lines and on the roofs of train stations. The

Research and analysis of a flexible integrated development

The transport carriers, infrastructure providers and service facilities of the railway system can all install solar PV panels and deploy energy storage devices, which will make the

Grid connected improved sepic converter with intelligent mppt

This paper presents a grid-connected improved SEPIC converter with an intelligent maximum power point tracking (MPPT) strategy tailored for energy storage systems in railway

A multi-objective optimization algorithm-based

In this study, the combination of crossover algorithm and particle swarm optimization—crossover algorithm-particle swarm

Optimal Scheduling of Integrated Energy Systems for High

In the context of participation in the carbon and energy markets, an integrated energy system in the high-speed railway station is constructed, comprising photovoltaic power generation,

Frontiers | Multi-objective optimization strategy for the distribution

In order to improve the operation capability of the distribution network and PV consumption rate, an optimal multi-objective strategy is proposed based on PV power

Grid connected improved sepic converter with

This paper presents a grid-connected improved SEPIC converter with an intelligent maximum power point tracking (MPPT)

A comprehensive survey of the application of swarm intelligent

From the perspective of photovoltaic energy storage system, the optimization objectives and constraints are discussed, and the current main optimization algorithms for energy storage

Artificial intelligence based hybrid solar energy systems with

This research proposes a novel AI-enhanced hybrid solar energy framework integrating spatio-temporal forecasting, adaptive control, and decentralized energy trading.

Enhancing Energy Efficiency in Photovoltaic Systems through

It discusses the role of AI in improving system design and performance, real-time applications leveraging IoT control and data management, and the application of big data

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A multi-objective optimization algorithm-based capacity

In this study, the combination of crossover algorithm and particle swarm optimization—crossover algorithm-particle swarm optimization (CS-PSO) algorithm—to

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