Linjun Zeng

ORCID: 0000-0001-6791-2109
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About
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Research Areas
  • Integrated Energy Systems Optimization
  • Smart Grid Energy Management
  • Advanced Battery Technologies Research
  • Electric Power System Optimization
  • Optimal Power Flow Distribution
  • Electric Vehicles and Infrastructure
  • Fault Detection and Control Systems
  • Hybrid Renewable Energy Systems
  • Microgrid Control and Optimization
  • Geoscience and Mining Technology
  • Industrial Technology and Control Systems
  • Control Systems and Identification
  • Anomaly Detection Techniques and Applications
  • Energy, Environment, and Transportation Policies
  • Advancements in Battery Materials
  • Solar Radiation and Photovoltaics
  • Advanced Numerical Methods in Computational Mathematics
  • Carbon Dioxide Capture Technologies
  • Power Systems and Renewable Energy
  • Topology Optimization in Engineering
  • Wind Energy Research and Development
  • Soil, Finite Element Methods
  • Big Data Technologies and Applications
  • Vibration and Dynamic Analysis
  • Evaluation and Optimization Models

Changsha University of Science and Technology
2017-2024

In this study, the multi-objective optimization considering renewable energy uncertainty and electric vehicles (EVs) is proposed for regional integrated systems (RIES), which can balance economy environmental friendliness of system. Firstly, influence factors such as disordered access charging/discharging EVs on system operation considered, an orderly charging discharging model established according to driving laws. Then, a robust with polyhedral set constructed handle output. Moreover,...

10.1109/tsg.2023.3250722 article EN IEEE Transactions on Smart Grid 2023-03-01

Integrated energy systems (IES) strengthen the interaction among electricity, gas and heat systems, concept of low-carbon development can further reduce carbon emissions IES. However, uncertainty IES reduces supply flexibility complexity different chains accuracy trading volume. Therefore, this study proposes a low economic scheduling considering life cycle assessment (LCA) risk cost. First, generated from chain conversion processes in are analyzed by method. Subsequently, calculated...

10.1016/j.ijepes.2023.109287 article EN cc-by-nc-nd International Journal of Electrical Power & Energy Systems 2023-06-15

To further optimize the low-carbon economy of integrated energy system (IES), this paper establishes a two-stage P2G hydrogen-coupled electricity–heat–hydrogen–gas IES with carbon capture (CCS). First, refines two stages and introduces hydrogen fuel cell (HFC) storage device to fully utilize in first stage power-to-gas (P2G). Then, ladder trading mechanism is considered CCS introduced reduce system’s emissions while coupling P2G. Finally, adjustable thermoelectric ratio characteristics...

10.3390/en17133205 article EN cc-by Energies 2024-06-29

With the continuous development of hydrogen storage systems, power-to-gas (P2G) and combined heat power (CHP), coupling between electricity–heat–hydrogen–gas has been promoted energy conversion equipment transformed from an independent operation with low utilization efficiency to a joint high efficiency. This study proposes low-carbon optimization strategy for multi-energy coupled IES containing operating jointly two-stage P2G adjustable thermoelectric ratio CHP. Firstly, system is analyzed...

10.3390/en17133144 article EN cc-by Energies 2024-06-26

With the continuous promotion of digital transformation in field power transformation, diversification application scenarios, and scale pilot construction, real-time, concurrency, security requirements for data fusion support monitoring system, management information other business platforms are getting higher higher, this paper puts forward a high concurrency availability “cloud-side-end collaboration” based on edge computing. This proposes “cloud, end architecture computing substation...

10.3390/en17010194 article EN cc-by Energies 2023-12-29

With the gradual depletion of fossil energy sources and diversification users’ demand, combined cooling, heating power (CCHP) microgrids have become a hot technology to improve efficiency promote efficient synergistic operation. However, uncertainty correlation wind photovoltaic (PV) outputs posed great challenge reliability CCHP system operation, so systems are often equipped with storage devices flexibility ensure supply. system-owned reserves still shortcomings such as high investment...

10.3390/en17184638 article EN cc-by Energies 2024-09-17

With the gradual depletion of fossil energy sources and improvement in environmental protection attention, efficient use reduction carbon emissions have become urgent issues. The integrated electricity heating system (IEHS) is a significant solution to reduce proportion fuel emissions. In this paper, stochastic optimization model IEHS considering uncertainty wind power (WP) output capture plants (CCPs) proposed. WP represented by scenarios, scenarios are reduced fast scenario obtain typical...

10.3390/en16052157 article EN cc-by Energies 2023-02-23

In this article, a distributed hierarchical control strategy of thermostatically controlled loads (TCLs) is proposed, which can effectively utilize TCLs to provide power dispatching service in microgrid composed buildings. First, the consensus protocol studied, and state space TCL established. The optimal performance achieved by selecting coupling strength gain. Then, each building reasonably through pinning control, coefficient proportional are determined according heterogeneity parameters....

10.2139/ssrn.4397717 article EN 2023-01-01

As a vital important parameter of lithium-ion batteries (LIBs), accurately estimating the state charge (SOC) holds significant importance in ensuring reliable and stable operation power storage equipment. To enhance accuracy SOC estimation, an adaptive high-degree unscented Kalman filter (AHUKF) approach is put forward. Firstly, model LIBs established corresponding parameters are identified using forgetting factor regression least-squares (AFFRLS) approach. The can augment features novel...

10.1109/iecon51785.2023.10312724 article EN IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society 2023-10-16

To reduce the economic cost and carbon emission of Park integrated energy system (PIES) improve consumption renewable in system, an optimal scheduling model PIES considering participation electric vehicles (EVs) under interaction mechanism green certificate-step trading is proposed. First, disordered EV charging modeled based on Monte Carlo sampling, this used as basis to establish orderly through time-sharing tariffs. Then, a dispatch demand response established, introduced into promote...

10.1109/cac59555.2023.10451611 article EN 2021 China Automation Congress (CAC) 2023-11-17

Under the background of current oil energy crisis and serious environmental pollution, contradiction between supply demand is becoming more prominent, which has aroused great attention around world, popularization electric vehicles on a large scale become an inevitable trend. The uncontrolled access large-scale to power grid will have impact grid, bringing series problems such as overloading distribution network, quality so on. Therefore, this paper designs analyzes orderly charging business...

10.1109/cac59555.2023.10450356 article EN 2021 China Automation Congress (CAC) 2023-11-17
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