Recent Articles

Open access

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

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...

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...

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...

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...

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...

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....

A photovoltaic array DC arc fault location method integrating MKDANN and SPA

This paper proposes a fingerprint matching method integrating transfer learning and online learning to tackle the challenges of environmental adaptability and dynamic interference resistance in photovoltaic...

Optimizing off-grid energy solutions: a hybrid approach leveraging solar, wind, and biomass for sustainable development

In this study, we analyzed the untapped energy potential of remote mountainous regions in eastern Morocco, thereby addressing the research gap on sustainable electrification in such areas. We proposed...

Identifying time zones of power fluctuations method for photovoltaic power ramp rate optimization

Photovoltaic (PV) systems are being increasingly implemented in the grid, and their intermittent output fluctuations threaten the stability of the grid, thereby requiring effective power ramp control...

Coordinated control strategy for multi-DG DC microgrid based on two-layer fuzzy neural network

Conventional coordinated control strategies for DC bus voltage signal (DBS) in islanded DC microgrids (IDCMGs) struggle with coordinating multiple distributed generators (DGs) and cannot effectively...

A review of research on intelligent fault detection of power equipment based on infrared and voiceprint: methods, applications and challenges

As modern power systems grow in complexity, accurate and efficient fault detection has become increasingly important. While many existing reviews focus on a single modality, this paper presents a comprehensive...

Total inertia evaluation of multiple PV power stations with virtual inertia control using a small number of measurements

The increasing penetration of PV power generation inevitably leads to the decline of system inertia, posing challenges to frequency stability. To this end, virtual inertia control has been proposed;...

A review on high-frequency electromagnetic interference induced by power electronics in new electric power systems

New electric power systems characterized by a high proportion of renewable energy and power electronics equipment face significant challenges due to high-frequency (HF) electromagnetic interference...

Optimal reactive power planning in an industrial microgrid: A case study of Urmia Petrochemical Plant

•An insightful reactive power compensation in real MGs by spatio-temporal constraints.•Maintaining problem optimality considering the objectives and constraints.•Benchmarking centralized and distributed...

Bi-level optimization of configurations and scheduling for the multi-microgrid system (MMS) considering shared hybrid electric-hydrogen energy storage service

Shared energy storage helps lower user investment costs and enhances energy efficiency, which is considered a pivotal driver in accelerating the green transition of energy sectors. In view of the increasing...

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...

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...

Signal processing and machine learning techniques in DC microgrids: a review

Low-voltage direct current (DC) microgrids have recently emerged as a promising and viable alternative to traditional alternating current (AC) microgrids, offering numerous advantages. Consequently,...

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