Recent Articles

Open access

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

Modeling and clustering of residential electricity consumption for short-term forecasting using seasonal autoregressive integrated moving average (SARIMA)

Power demand is increasing in all sectors of the developing nations; however, the inadequate and disproportionate generation and distribution resources create a burden for the authorities to efficiently...

Optimal scheduling of renewable energy system based on probabilistic power balance under dynamic frequency security

Aiming at the issues of reduced power system inertia, increased source − load uncertainties, and exacerbated frequency security risks caused by the integration of high − penetration renewable energy...

The impact of increased renewable energy penetration and reduced inertia on the frequency nadir in a multi-area interconnected network based on the peninsula Malaysia national grid

The increased adoption of renewable energy sources (RES) has left the power system grid with ever more decreasing inertia. The inertia plays a crucial part in mitigating frequency changes in the power...

A context-driven dynamic modeling method for ultra-short-term wind power forecasting

Ultra-short-term wind power forecasting is a critical technology for ensuring secure and stable operation of power systems and promoting new energy integration. Current research usually employ offline...

AI-driven forecasting of the world energy index: The role of Iraq’s GDP in global energy interconnection

Energy indices are essential for analyzing global energy trends and their economic and societal impacts. These indices guide investment decisions, set performance standards, and help mitigate risks...

Optimized design and energy management of a hybrid electric traction substation integrating photovoltaic generation and storage systems: case study of the Moroccan railway network

The integration of renewable energy sources into railway traction substations has become a strategic priority to reduce operational costs and CO2 emissions. This paper presents a novel optimization...

Advancing electric vehicle ecosystems: a survey of generative artificial intelligence and distributed machine learning applications

The growing popularity of Electric Vehicles (EVs) necessitates advanced systems capable of managing the increasing complexity of EV-generated data. However, the exponential expansion of data streams...

Empowering the grid: A comprehensive review of vehicle-to-grid technology, digital twins, and intelligent energy systems

•Explains V2G systems: hardware, communication, and energy management components.•Compares bidirectional chargers and analyzes their types for grid integration.•Reviews control methods from traditional...

Empowering PV system modeling and forecasting: a review of public benchmark datasets

Driven by the high penetration of renewable energy, the inherent intermittency of photovoltaic (PV) generation poses severe challenges to grid stability. To manage this volatility and ensure reliable...

Coordinated operation of multi-terminal SOP enabled multi-level multi-energy system considering coupled electrical and thermal demand response

The increasing integration of distributed generation (DG) into distribution systems poses significant challenges such as voltage violations and line overloads. With the growing coupling between electrical...

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...

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...

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 benefit coordination mechanism in renewable energy multi-energy complementary systems

Cooperation among multiple stakeholders in the complementary integration of renewable energy sources (hydro, wind, and solar power) can enhance the incremental benefits of each participant as well as...

Two-stage wind-solar-storage capacity allocation method research for active distribution network based on whale migrating algorithm

With the integration of clean energy, the increasing penetration of distributed power sources, controllable loads, and energy-storage resources in smart grids is causing substantial difficulties in...

A bilevel optimization framework for electricity-gas P2P trading incorporating a multi-energy dynamic operating envelope

In energy markets, microgrids can obtain additional economic benefits through peer-to-peer (P2P) trading of electricity and natural gas. However, unregulated trading behavior may pose risks of power...

Control strategy for secondary frequency regulation in hybrid energy storage considering real-time dispatchable power and maximum output constraints

•Dynamic adjustment coefficient for maximum output was developed based on an improved S-function.•The real-time dispatchable power from the energy storage system has been incorporated.•Reduce energy...

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...

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...

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...

Momentum vectorized adaptive DDPG-based PSC mitigator design for hybrid PV-TEG systems with auxiliary battery participation

Partial shading conditions (PSC) significantly reduce the efficiency of photovoltaic (PV) systems by causing uneven irradiation and mismatched power losses. To address this, this study proposes a novel...

Attack detection in cyber-physical power systems based on Kalman filtering state estimation

This study explores detection techniques for Dynamic Load Alteration Attacks (D-LAA) in power grids. First, a Cyber-Physical Power System (CPPS) affected by D-LAA is constructed, and its discrete system...

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...

Research on parameter identification of photovoltaic model based on improved crested porcupine optimizer

Precision modeling of photovoltaic systems is essential for technological progress in solar energy applications. To achieve precise extraction of model parameters and enhance photovoltaic model precision,...

Forecasting the average daily and during the hours of maximum electric load based on the data of the average monthly electricity consumption with single and other energy sources

The article is devoted to the determination of the average daily and during the hours of maximum electric load according to the data of electricity consumption, taking into account the generalized coefficient...

Stay Informed

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