Recent Articles

Open access

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

Enhancing grid stability and V2G integration by optimizing three-phase bidirectional EV chargers using ANFIS and FPGA-based control systems

State this study looks at how well a three-phase bidirectional converter works for Vehicle-to-Grid (V2G) services by using both Adaptive Neuro-Fuzzy Inference System (ANFIS) and Proportional-Integral...

Data-driven insights for optimizing EV charging infrastructure: a case study on efficiency and utilization

The increasing global adoption of electric vehicles (EVs) has led to a growing demand for a cost-effective and reliable charging infrastructure. This study presents a novel data-driven approach to assessing...

Enhanced physics-inspired algorithm for optimal power flow with renewable energy integration using Coulomb’s and Franklin’s law under climate considerations

Due to the climate-dependent nature of renewable energy sources (RESs), solving the optimal power flow (OPF) problem in power systems that integrate RESs, such as photovoltaic (PV) units and wind turbines...

Renewable energy finance, policy, and building energy technologies: trends, case studies, and innovations in North America

This paper analyzes North American shifts in renewable energy finance and building energy technologies from 2022 to 2025. Fueled by net-zero targets and policy incentives, clean energy investment now...

Dynamic characteristics of sub-cycle incipient faults in medium-voltage cable joints

Permanent faults in medium-voltage cable joints significantly impact the reliability of distribution networks. Radial breakdowns caused by water ingress often lead to several self-extinguishing arc...

Bi-level optimization of regional virtual power plants based on balancing group mechanism

Given the power system balancing challenges induced by high-penetration renewable energy integration, this study systematically reviews international balancing mechanism practices and conducts an in-depth...

Digital twin topology modelling method of new-type distribution network based on CIM specifications and spectral clustering

Regard to the real-time dynamic digital twin modelling problem of a new-type distribution network that includes distributed resources such as distributed photovoltaic, energy storage, charging pile,...

Real-time dispatch strategy for microgrid considering source‒load uncertainty: a tailored TD3 reinforcement learning approach

The integration of large-scale-distributed new energy resources has led to heightened source‒load uncertainty. As energy prosumers, microgrids urgently require enhanced real-time regulation capabilities...

Reactive power coordination control strategy of multi-parallel network converter

Conventional droop control in multi-parallel grid-forming inverters exhibits poor reactive power sharing accuracy due to line impedance mismatches. In this study, we proposed a coordination control...

Long term wind energy forecasting using machine learning techniques

Ensuring the reliability of wind energy as a dependable source requires overcoming challenges posed by the inherent volatility and stochastic nature of wind patterns. Long-term forecasting provides...

Optimization of microgrid scheduling based on multi-strategy improved MOPSO algorithm

A multi-strategy Improved Multi-Objective Particle Swarm Algorithm (IMOPSO) method for microgrid operation optimization is proposed for the coordinated optimization problem of microgrid economy and...

TLCNN: Tabular data-based lightweight convolutional neural network for electricity energy demand prediction

Forecasting energy demand is essential for optimizing energy generation and effectively predicting power system needs. Recently, many researchers have developed various models on tabular datasets to...

Control strategies for alkaline water electrolysis hydrogen production: a comprehensive review and future perspectives

Driven by the global energy transition and carbon neutrality targets, alkaline water electrolysis has emerged as a key technology for coupling variable renewable generation with clean hydrogen production,...

An Evaluation Method for the Aggregate Adjustable Capability of Photovoltaic-Storage-Charging Stations Considering Local Security Constraints

As renewable energy penetration continues to rise, enhancing power system flexibility has become a critical requirement. Photovoltaic–storage–charging stations (PSCSs) are key components for enhancing...

Photovoltaic performance with three-position tracking and enhanced heat sink cooling system

The paper presents an original comparative analysis of the photovoltaic modules by combining solar tracking systems with fins and radiative cooling paint, which allows a unique comparative assessment...

Electrical power generation in Antarctica: challenges, opportunities and future work for Turkish Antarctic Research Station

Antarctica’s extreme environment, marked by frigid temperatures, fierce winds, and prolonged periods of darkness, presents significant challenges for sustaining energy needs at research stations. The...

An ethical assessment framework for AI security and ethics in smart grid

The advancement of smart grid, facilitated by the extensive integration of information communication, automated control, and artificial intelligence (AI) technologies, signifies a significant transformation...

Performance analysis of diffuser-augmented wind turbines with swept rotor

•A new model for the performance analysis of DAWT with forward and backward swept blades.•Incorporate the sweep effect at each radial position of the rotor using the BEMT.•Swept blades increase efficiency...

Research on cooperative operation optimization of Nash-Stackelberg game in multiple virtual power plants under multiple uncertainties

This paper suggests a way to improve teamwork and reduce uncertainties in operations by using a game theory approach involving multiple virtual power plants (VPP). A generalized credibility-based fuzzy...

Cooperative operation optimization of multi-integrated energy systems considering green certificates-carbon mutual recognition and offset

To achieve the high-standard growth of semiconductor manufacturing hubs, it is imperative to explore the scheduling potential across different industrial production segments, and fully utilize the energy...

Bayesian optimized support vector regression with a Gaussian kernel for accurate prediction of the state of health of lithium-ion batteries used for electric vehicle applications

The state of health SoH of lithium ion batteries plays a predominant role in ensuring the safe and reliable operation of electric vehicles. In this, a novel SoH estimation approach using support vector...

Forecasting electricity prices in the spot market utilizing wavelet packet decomposition integrated with a hybrid deep neural network

Accurate forecasting of electricity spot prices is crucial for market participants in formulating bidding strategies. However, the extreme volatility of electricity spot prices, influenced by various...

A multi-model management approach for power system transient stability assessment based on multi-moment feature clustering

Transient stability assessment (TSA) based on artificial intelligence typically has two distinct model management approaches: a unified management approach for all faulted lines and a separate management...

Research on adaptive smooth switching control strategy for strong and weak power grids in multi-machine parallel PV energy storage VSG system

To enable distributed PV to adapt to variations in power grid strength and achieve stable grid connection while enhancing operational flexibility, it is essential to configure grid-connected inverters...

Mechanical performance of key components in floating photovoltaic systems: technological advances and application prospects

Floating photovoltaic (FPV) technology is emerging as a highly promising approach to accelerate decarbonization of the global economy, due to its higher power generation efficiency and lower land occupation....

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