Recent Articles

Open access

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

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...

State of charge estimation in lithium-ion batteries: A critical review of traditional and AI-driven methods with pathways to real-world implementation

Accurate state-of-charge (SoC) estimation is critical for the safe and efficient operation of lithium-ion batteries in electric vehicles and energy storage systems. However, its practical implementation...

Comprehensive short-term analysis of building energy consumption patterns based on a robust and data-driven computational framework

This study introduces a hybrid optimization approach for short-term load forecasting utilizing an artificial neural network that integrates particle swarm optimization and grey wolf optimizer approaches...

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...

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...

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...

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...

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...

Adaptive power and virtual resistance cooperation control strategy of VSG-based GFM converters for grid transient stability enhancement

With the increasing penetration level of renewable energy sources (RES) interfaced with the grids by power electronic converters, the grid forming (GFM) control of converters is recognized as one of...

Negative electricity prices in electricity markets: causes, impacts, and response strategies

•Analyzed drivers of negative power prices and their interconnections across varying national electricity markets.•Evaluated negative price impacts on participant behavior, operating costs, and overall...

Aanalysis of the impact of grid-forming doubly-fed induction generator parameter on transient stability and small-signal stability

The Grid-Forming Doubly-Fed Induction Generator (GFM-DFIG) has attracted considerable attention due to its capabilities in voltage self-regulation and inertia support, although stability concerns persist....

Resilient adversarial–evolutionary multi-agent intelligence for real-time EV charging and energy trading in renewable-integrated smart grids

The rapid expansion of electric vehicles (EVs) and renewable energy resources introduces new operational stresses in modern power networks such as peak-load surges, voltage fluctuations, and quality...

Multi-scenario coordinated operation strategy of battery-hydrogen hybrid energy storage system for pure photovoltaic VSC-HVDC converter station

Voltage source converter based high voltage direct current (VSC-HVDC) transmission serves as a crucial means for power delivery from renewable energy stations, and its operating characteristics require...

Distribution network data asset protection considering multiple topology and multi-dimensional knowledge graph

The proliferation of diverse entities within distribution network has led to an increase in the scale and complexity of data asset interactions, exacerbating security risks, such as unauthorized access,...

Real-time electricity carbon flow computation based on physics-informed neural network

Accurate and efficient electricity carbon flow computation is crucial for electricity carbon emission tracing, low-carbon dispatch and responsibility allocation. However, analytical electricity carbon...

Transferable electricity price forecasting: A dual-branch deep learning model adapting to evolving market data

Electricity price forecasting is essential for power market operations; however, existing models primarily rely on ideal data conditions, which limits their applicability in real-world scenarios with...

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 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...

Artificial intelligence–enabled energy interconnection for low-carbon power systems and electric mobility: A comparative review of China and Egypt

Advanced technologies are required to support the rapid transition to low-carbon energy systems to accommodate high penetration of renewable energy, large-scale energy interconnection and the accelerating...

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...

Distributionally robust optimal scheduling for integrated energy systems considering electricity–hydrogen coupling and Stackelberg–Nash game

Integrated energy systems (IES) incorporating electricity–hydrogen coupling (EHC) constitute a crucial pathway toward achieving low-carbon energy transition. However, the economic and reliable operation...

Design and simulation of feed-forward decoupling control for a 5 MW grid-connected solar PV system aimed at rural electrification in Nigeria

Solar energy is converted into electricity through Photovoltaic (PV) systems. Single-stage power converters are frequently used in large-scale Photovoltaic Systems (PVS) to ensure high efficiency and...

An improved SFA-optimized neuroendocrine PID controller for DC-DC buck-boost converter-inverter driven dc motor in a PV system

This paper introduces an advanced tuning method for neuroendocrine PID (NEPID) controllers in DC-DC buck-boost converter-inverter driving DC motor (DCBBCI-DC motor) systems, powered by photovoltaic...

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