Recent Articles

Open access

ISSN: 2096-5117
CN: 10-1551/TK
e-ISSN: 2590-0358

Energy storage systems for modern power networks: A comparative assessment of technologies and their characteristics

Energy storage systems (ESS) play an essential role in improving the reliability, flexibility, and resilience of modern power networks as renewable energy sources become more prominent in electricity...

Stackelberg game-based coordinated optimization of integrated energy systems under time-of-use pricing and uncertainty

•Proposes a physical–virtual multi-element energy storage framework for interconnected IESs.•Develops a Stackelberg game-based model with joint chance-constrained uncertainty modeling.•Improves multi-energy...

Entropy generation analysis of coaxial diffuser effects on energy dissipation and pressure fluctuations in a Francis turbine draft tube

Under part-load conditions, turbine vibrations are predominantly induced by rotating vortex ropes (RVRs) and associated pressure fluctuations in the draft tube. This study proposes a novel coaxial diffuser...

Heterogeneous impacts of green investments and FDI on carbon emissions across belt and road initiative economies: A multi-model analysis of income-based disparities

This study investigates the heterogeneous impacts of green investments (renewable energy) and foreign direct investment (FDI) on carbon emissions across 57 Belt and Road Initiative (BRI) member states,...

Reinforcement Learning–Enabled Multi–Service Coordinated Control of Energy Storage Systems

Against the backdrop of rapidly increasing renewable energy penetration, amplified active-power fluctuations have markedly intensified the demand for both frequency regulation and peak-shaving services....

Numerical investigation of rotational speed effects on external characteristics and internal flow fields in a high-specific-speed centrifugal pump using entropy analysis

Research on pump speed regulation is critically important to enhancing pump operational efficiency, reducing energy consumption, and achieving flexibility. In this study, the effects of rotational speed...

Time-resolved system integration and economics of green ammonia-to-hydrogen trade: A chile–germany case study

Long-distance hydrogen supply chains using chemical carriers are increasingly seen as a key route connecting renewable-resource-rich regions with industrial hydrogen demand centers. Among these carriers,...

A comprehensive review of machine learning-based battery management and solar electric vehicle charging systems for intelligent energy management

The rapid transition toward sustainable mobility has accelerated the adoption of electric vehicles (EVs) all over the world. However, their performance relies heavily on the effectiveness of Battery...

Transient synchronization stability of grid-forming and grid-following hybrid renewable energy grid-connected system considering current limitation in grid-forming control

Grid-forming converters (GFM) provide voltage and frequency support in renewable energy grid-connected systems. However, under grid disturbances, they may become locked in the current-limiting mode,...

Dual-layer coordinated optimization of IES with P2G-ORC coupling via the multi-objective kepler optimization algorithm

To address the limitations of single-level optimization methods for integrated energy system (IES) scheduling-namely, limited comprehensiveness, constrained decision-making, weak dynamic adaptability,...

A comprehensive review of AI and IoT technologies for photovoltaic tracking techniques

This review provides a systematic examination of recent advances in solar photovoltaic tracking, with a critical focus on the system shift toward AI-IoT convergence as a transformative strategy for...

TDformer: a domain knowledge-constrained transformer model for photovoltaic power forecasting

Photovoltaic (PV) power forecasting is essential for the reliable integration of renewable energy into power systems. However, it remains a challenging due to the complex temporal patterns of PV generation...

Consensus-based distributed economic dispatch for microgrids with the event-triggered mechanism and improved differential privacy

With the rising expansion of distributed energy resources and integration of cyber-physical systems, microgrid energy management faces critical challenges such as privacy leakage, cyber-attacks, and...

A deep learning-based hybrid model for multi-scale solar energy forecasting

Solar energy (SE) now plays a strategic role in the global energy transition, serving as an essential lever for ensuring competitive and sustainable production on the international market. Fine-tuned...

Vertical dispatch and horizontal P2P trading coordination in multi-energy VPPs: A hybrid ATC-ADMM approach

•Bi-level framework coordinates DSO-VPP dispatch with a multi-energy P2P market.•Hybrid ATC-ADMM preserves privacy while achieving high-precision convergence.•System-wide cost reduced by 19.6% through...

Physics-informed neural networks for battery smart modeling and state estimation with electrochemical mechanisms and data-driven intelligence

Physics-informed neural networks (PINNs) have emerged as a promising framework that bridges physics-based battery models and data-driven learning. This review systematically summarizes recent progress...

Synergizing phase change materials, cool paints, and renewables in remote buildings: A techno-economic assessment

This study aims to assess the technical, economic, and environmental performance of retrofitting residential buildings in hot–arid climates using phase-change materials (ATP20 and ATP23), cool paints...

Economic dispatch optimization of off-grid wind solar complementary hydrogen synthesis ammonia system based on reverse chaos sparrow search algorithm

Off-grid wind-solar hydrogen and ammonia synthesis systems offer a promising route to reduce the grid impact of variable renewable generation and improve its utilization. However, the inherent intermittency...

Probabilistic estimation and uncertainty quantification of grid inertia using variational bayesian inference with ambient noise perturbations

This paper proposes a novel variational Bayesian (VB) inference framework for the probabilistic estimation and real-time uncertainty quantification of power system inertia under ambient noise perturbations....

Capacity optimization of data center microgrid coupling computing-power and electricity consumption

The optimization of capacity configuration in data center microgrids, primarily powered by renewable energy, represents a crucial solution for achieving low-carbon computing capabilities. However, the...

OPTIMIZATION MODELS FOR WIND FARMS PLACEMENT IN POWER SYSTEM

The article presents the problem of optimizing the locations of wind farms (WFs) in response to the growing development of wind energy in the world. To solve this problem, indicators characterizing...

Can China’s outward foreign direct investment effectively influence the energy transition of host countries?——An analysis of the moderating effect based on government governance and heterogeneity examination

As China’s Outward Foreign Direct Investment (OFDI) accelerates its shift toward greener practices, its growing commitment to clean energy has become a key driver in the global energy sector’s transition...

Enhanced sliding mode control with a cascaded sliding surface for load frequency control in two-area islanded microgrid

Islanded microgrids often struggle to maintain frequency stability due to fluctuating loads and the intermittency of renewable energy sources. In highly dynamic microgrid environments, conventional...

Event-driven frequency regulation strategy in islanded microgrids over distributed directed communication network with random FDI attack-resilient method

•Microgrids with renewable distributed generators.•Distributed event-triggered mechanism for secondary frequency restoration in MG over general directed communication networks.•Deception random FDI...

Fractal-guided Bayesian neural network for interpretable probabilistic load forecasting

Accurate load forecasting is essential for the reliable and economic operation of modern power systems. However, the growing integration of renewable energy sources and electric vehicles has introduced...

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