Recent Articles

Open access

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

Comparative study of levelized cost of electricity for grid-connected and off-grid solar photovoltaic and battery based microgrid systems

The levelized cost of electricity (LCOE) is commonly used to evaluate the economic viability of renewable energy systems. However, there is limited analysis comparing grid-connected and off-grid operational...

Economic valuation of hydropower flexibility for power system planning and operation

The expansion of variable renewable energy sources has significantly increased the operational flexibility requirements of power systems. In hydro-dominated systems, hydropower plays a crucial balancing...

Electricity‑carbon price dual‑response strategy for power systems considering renewable energy uncertainty

To address the challenges of renewable energy uncertainty to power system security and low-carbon transition, this paper proposes an optimal dispatch strategy with dual response to electricity and carbon...

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...

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...

Adaptive frequency regulation control strategy for flywheel energy storage coupled thermal power units based on optimal variational mode decomposition

As the proportion of renewable energy sources such as wind and solar power connected to the grid continues to increase, maintaining grid frequency stability faces severe challenges. Traditional thermal...

TF-LiteNet: a time–frequency fusion lightweight network for multi-source load and renewable forecasting in virtual power plants

With the rapid integration of renewable and distributed energy resources, Virtual Power Plants (VPPs) have emerged as a key paradigm for the future power system. By aggregating heterogeneous resources...

Energy characteristic extraction and influencing factors identification of subsynchronouas oscillations based on WOA-VMD and principal component analysis

The new type power system includes generators with varying operation modes, control strategies and cluster combination methods, leading to distinct subsynchronous oscillation characteristics. Therefore,...

Multi-configurational energy storage management in a residential nanogrid under constraints of renewable energy resources and demand uncertainties

Multi-Time-Scale dispatch optimization strategy for rural distribution networks considering seasonal load characteristics of agricultural facilities

With the large-scale integration of distributed energy into rural distribution networks, the mismatch between the seasonal power consumption of traditional agricultural facilities and renewable energy...

Multi-game optimization strategy for virtual power plants considering EV user service selection

With the transformation of energy structure and the deepening of the concept of sharing economy, the large-scale access of electric vehicles (EVs) and the coordinated development of multiple virtual...

Optimized control strategies for BLDC motor in sustainable energy systems: enhancing stability and performance through intelligent controllers, filtering techniques and internal model control

The challenge of achieving reliable and efficient control of Brushless DC Motors (BLDCMs) in electric and hybrid vehicles, where system nonlinearities and dynamic disturbances hinder traditional control...

Review on electric vehicles integration into smart grid cyber physical security system and performance analysis for smart city perspective

Developing reliable cyber-physical system security for electric vehicles to smart grid sustainable development for smart cities, it is essential to have a deeper understanding of successful cyber-physical...

Optimization of charging-discharging strategies and EV battery swapping recommendation algorithm considering aggregation of battery swapping stations

Electric Vehicles (EVs) play a crucial role in carbon emission reduction and energy structure adjustment. The EV battery swapping mode, characterized by short energy replenishment time and strong grid...

Stability analysis and parameter optimization method of multiple grid-forming converter system with VSG and droop control

In this article, a stability analysis and parameter optimization method is proposed for multiple grid-forming (GFM) converter system. Firstly, a general small-signal state-space model is developed with...

Optimized microgrid-based restoration for enhancing power distribution system resilience

•Target-free microgrid restoration model for resilience assessment under uncertainty.•Hybrid PSO-GA optimization improves load recovery and resilience indices.•Integrated curtailable, shiftable, and...

An active power-frequency response optimization strategy for fractional-order VSG grid-connected system based on loop reconfiguration mechanism

The fractional-order virtual synchronous generator (FOVSG) increases the system’s tunable parameters by introducing a fractional-order virtual inertia control loop. However, its grid-connected active...

Integrated microgrid control, energy storage optimization, and wireless power transfer for renewable-powered electric vehicle ecosystems: a comprehensive review

The accelerating deployment of distributed energy resources (DERs), large-scale energy storage systems (ESS), and electric vehicles (EVs) is fundamentally reshaping modern microgrid architecture and...

Multi-timescale Coordinated Scheduling Approach for Integrated Energy System Based on Hierarchical Reinforcement Learning

Real-time coordinated scheduling of integrated energy systems (IES) equipped with coupled multi-energy conversions is essential for mitigating renewable energy intermittency and dynamic load fluctuations....

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...

Stay Informed

Register your interest and receive email alerts tailored to your needs. Sign up below.