Hongjie Jia

Hongjie Jia

Tianjin University

H-index: 62

Asia-China

About Hongjie Jia

Hongjie Jia, With an exceptional h-index of 62 and a recent h-index of 52 (since 2020), a distinguished researcher at Tianjin University, specializes in the field of Power System, Smart Grid, Integrated Energy Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Bi-level optimal operations for grid operator and low-carbon building prosumers with peer-to-peer energy sharing

Two-stage affine assessment method for flexible ramping capacity: An inverter heat pump virtual power plant case

Online lithium-ion battery intelligent perception for thermal fault detection and localization

DPGS: Data-driven photovoltaic grid-connected system exploiting deep learning and two-stage single-phase inverter

The Static Stability Region of an Integrated Electricity-Gas System Considering Voltage and Gas Pressure

Evolution prediction method for electric private car ownership considering the decision-making behaviour of consumers

A simplified control parameter optimisation method of the hybrid modular multilevel converter in the medium‐voltage DC distribution network for improved stability under a weak …

CWGAN-GP with residual network model for lithium-ion battery thermal image data expansion with quantitative metrics

Hongjie Jia Information

University

Tianjin University

Position

Professor of Electrical Engineering

Citations(all)

14316

Citations(since 2020)

9991

Cited By

8240

hIndex(all)

62

hIndex(since 2020)

52

i10Index(all)

249

i10Index(since 2020)

174

Email

University Profile Page

Tianjin University

Hongjie Jia Skills & Research Interests

Power System

Smart Grid

Integrated Energy Systems

Top articles of Hongjie Jia

Bi-level optimal operations for grid operator and low-carbon building prosumers with peer-to-peer energy sharing

Authors

Xiaoyu Wang,Hongjie Jia,Xiaolong Jin,Yunfei Mu,Wei Wei,Xiaodan Yu,Shuo Liang

Journal

Applied Energy

Published Date

2024/4/1

Low-carbon buildings (LCBs) are normally equipped with distributed energy resources (DERs) such as photovoltaic (PV) panels and batteries, thereby creating LCB prosumers that both produce and consume energy. Peer-to-peer (P2P) energy sharing among LCB prosumers could bring higher economic benefits for themselves, and facilitate better local power balance for the power grid. To fully harness the benefits of P2P energy sharing for both LCB prosumers and the power grid, a bi-level optimization method for LCB prosumers and the power grid operator is proposed in this paper. The grid operator at the upper level imposes the optimal time-varying network charge to LCB prosumers at the lower level to maximize its profit. And LCB prosumers with the objective of minimizing their costs adjust the schedules including P2P energy sharing and their heating loads to respond to the grid operator's optimal network …

Two-stage affine assessment method for flexible ramping capacity: An inverter heat pump virtual power plant case

Authors

Jiarui Zhang,Yunfei Mu,Zhijun Wu,Hongjie Jia,Xiaolong Jin,Yan Qi

Journal

Applied Energy

Published Date

2024/7/1

The increasing penetration of renewable energy generation brings about variability and randomness, which poses challenges to the power systems due to a potential shortage of flexibility resources. Inverter heat pumps (IHPs) can be utilized to address this issue by providing flexible ramping capacity (FRC). However, unlike conventional generation that offers a fixed FRC, the FRC of individual IHPs and their aggregation are influenced by their operational constraints and the indoor temperature thresholds set by buildings. These thresholds, in turn, are affected by uncertainties in ambient temperature and solar irradiation. For the individual IHP, an IHP-FRC assessment model is established. This individual IHP-FRC assessment model is based on the building thermal dynamic model and user comfort model, incorporating uncertainties in ambient temperature and solar irradiation through affine representations. For the …

Online lithium-ion battery intelligent perception for thermal fault detection and localization

Authors

Luyu Tian,Chaoyu Dong,Yunfei Mu,Xiaodan Yu,Hongjie Jia

Journal

Heliyon

Published Date

2024/2/29

—Equipping lithium-ion batteries with a reasonable thermal fault diagnosis can avoid thermal runaway and ensure the safe and reliable operation of the batteries. This research built a lithium-ion battery thermal fault diagnosis model that optimized the original mask region-based convolutional neural network based on the battery dataset in both parameters and structure. The model processes the thermal images of the battery surface, identifies problematic batteries, and locates the problematic regions. A backbone network is used to process the battery thermal images and extract feature information. Through the RPN network, the thermal feature is classified and regressed, and the Mask branch is used to ultimately determine the faulty battery's location. Additionally, we have optimized the original mask region-based convolutional neural network based on the battery dataset in both parameters and structure. The …

DPGS: Data-driven photovoltaic grid-connected system exploiting deep learning and two-stage single-phase inverter

Authors

Luyu Tian,Chaoyu Dong,Yunfei Mu,Hongjie Jia

Journal

Energy Reports

Published Date

2024/6/1

The increasing demand for clean energy to address the looming energy crisis has led to the widespread use of photovoltaic grid-connected technology, particularly in microgrids. To fully harness solar energy, this study proposes a data-driven strategy for photovoltaic maximum power point tracking with adaptive adjustment to environmental dynamics. Exploiting deep learning and incremental adjustment, our data-driven photovoltaic-grid systems (DPGS) upgrade the traditional perturbation and observation (P&O) MPPT to a dynamic evolutionary scheme. DPGS gathers the photovoltaic panel's output voltage and current, calculates the current power, and then outputs the appropriate reference voltage based on the power difference. The photovoltaic voltage is then adjusted using a data-driven strategy. In this study, a double-hidden layer deep learning network is utilized to output the prediction control signal of the …

The Static Stability Region of an Integrated Electricity-Gas System Considering Voltage and Gas Pressure

Authors

Yunfei Mu,Zhibin Liu,Xiangwei Guo,Hongjie Jia,Kai Hou,Xiaodan Yu,Bofeng Luo,Hairun Li

Journal

Engineering

Published Date

2024/2/10

In an integrated electricity-gas system (IEGS), load fluctuations affect not only the voltage in the power system but also the gas pressure in the natural gas system. The static voltage stability region (SVSR) method is a tool for analyzing the overall static voltage stability in a power system. However, in an IEGS, the SVSR boundary may be overly optimistic because the gas pressure may collapse before the voltage collapses. Thus, the SVSR method cannot be directly applied to an IEGS. In this paper, the concept of the SVSR is extended to the IEGS-static stability region (IEGS-SSR) while considering voltage and gas pressure. First, criteria for static gas pressure stability in a natural gas system are proposed, based on the static voltage stability criteria in a power system. Then, the IEGS-SSR is defined as a set of active power injections that satisfies multi-energy flow (MEF) equations and static voltage and gas pressure …

Evolution prediction method for electric private car ownership considering the decision-making behaviour of consumers

Authors

Xiaohong Dong,Zhiwei Feng,Xiaodan Yu,Jiaan Zhang,Hongjie Jia

Journal

Energy Reports

Published Date

2024/6/1

A global consensus has been reached that promotes full electrification in the automotive field to solve environmental problems, and Electric Vehicles (EVs) have developed rapidly in recent years. China has gradually promoted electrification for taxis, trucks, and private cars. Due to the large number of electric private cars (EPCs), the evolutionary impact of EPC ownership on the charging demand and even the power grid at different stages cannot be ignored. But the evolution of EPC ownership is affected by many factors, and the prediction accuracy is low. Thus, an evolution prediction method of EPC ownership considering the decision-making behaviour of consumers is proposed. Firstly, considering the mutual influence of the individual mental state of consumers for EPC, the social network of consumers is generated based on the small-world network model. Secondly, to simulate the psychological state of …

A simplified control parameter optimisation method of the hybrid modular multilevel converter in the medium‐voltage DC distribution network for improved stability under a weak …

Authors

Jin Xu,Qian Xiao,Hongjie Jia,Yunfei Mu,Yu Jin,Wenbiao Lu,Shiqian Ma

Journal

IET Energy Systems Integration

Published Date

2024

To improve the stability of the hybrid modular multilevel converter (MMC), a simplified dominant mode‐based control parameter optimisation method of the hybrid MMC system is proposed. Firstly, in the medium‐voltage DC distribution network, the small‐signal model of the hybrid MMC is established. Secondly, the influence of a weak AC system on stability is analysed through eigenvalue analysis. Finally, a simplified objective function is designed for eigenvalues of the dominant mode by considering only real parts, and improved small‐signal stability can be achieved by control parameters optimisation. The proposed method optimises all control parameters at the same time, which further reduces the number of algorithm iterations. Simulation results show that by the proposed control parameter optimisation method, the hybrid MMC has better transient performance and reduced disturbance under SCR variation …

CWGAN-GP with residual network model for lithium-ion battery thermal image data expansion with quantitative metrics

Authors

Fengshuo Hu,Chaoyu Dong,Luyu Tian,Yunfei Mu,Xiaodan Yu,Hongjie Jia

Journal

Energy and AI

Published Date

2024/5/1

Lithium batteries find extensive applications in energy storage. Temperature is a crucial indicator for assessing the state of lithium-ion batteries, and numerous experiments require thermal images of lithium-ion batteries for research purposes. However, acquiring thermal imaging samples of lithium-ion battery faults is challenging due to factors such as high experimental costs and associated risks. To address this, our study proposes the utilization of a Conditional Wasserstein Generative Adversarial Network with Gradient Penalty and Residual Network (CWGAN-GP with Residual Network) to augment the dataset of thermal images depicting lithium-ion battery faults. We employ various evaluation metrics to quantitatively analyze and compare the generated thermal images of lithium-ion batteries. Subsequently, the expanded dataset, comprising four types of thermal images depicting lithium-ion battery faults, is input …

A real time peer-to-peer energy trading for prosumers utilizing time-varying building virtual energy storage

Authors

Xiaoyu Wang,Hongjie Jia,Zibo Wang,Xiaolong Jin,Youjun Deng,Yunfei Mu,Xiaodan Yu

Journal

International Journal of Electrical Power & Energy Systems

Published Date

2024/1/1

With the increasing penetration of distributed energy resources (DER) in the electric power system, Peer-to-Peer (P2P) energy trading has become a promising paradigm for future electric power systems. Building thermal load, which is an important demand side resource, should be considered carefully in the design of a P2P trading method. In this paper, we investigate the application of building thermal energy storage capability in P2P energy trading. We aggregate and model building thermal loads as a virtual energy storage and derive a time-varying virtual energy storage system (T-VESS) model to quantify the flexibility of a building. Key parameters of T-VESS, including charging/discharging rate, energy capacity, and state of charge (SOC), are analyzed so that T-VESS can be embedded in the building prosumer model to participate effectively in electricity-oriented P2P energy trading. We propose a real time …

Distributed Coordinated Restoration of Transmission and Distribution Systems with Repair Crews and Mobile Emergency Generators

Authors

Hao Wu,Yunyun Xie,Geert Deconinck,Chen Yu,Kai Hou,Jinsheng Sun,Hongjie Jia

Journal

IEEE Transactions on Power Systems

Published Date

2024/4/29

Coordinated restoration of transmission systems (TSs) and distribution systems (DSs) is necessary to reduce load loss after blackouts. Traditional coordination strategies are studied based on the hypothesis of no faults, neglecting fault repairs. To address this issue, a novel coordination method is proposed to integrate the repair and restoration of a coupled TS and DS with repair crews (RCs) and mobile emergency generators (MEGs) during post-disaster repair. Combining fault repairs and generator restarts by RCs and MEGs, a four-stage parallel restoration model is developed to coordinate dynamic partitioning, generation start-up, transmission path energization and load restoration, which facilitates rapid restoration of coupled TS and DS. Due to limited information exchange and data confidentiality between TS and DS, the decentralized coordination model is decomposed into a TS subproblem and DS …

Optimal pricing of integrated community energy system for building prosumers with P2P multi-energy trading

Authors

Hongjie Jia,Xiaoyu Wang,Xiaolong Jin,Lin Cheng,Yunfei Mu,Xiaodan Yu,Wei Wei

Journal

Applied Energy

Published Date

2024/7/1

Buildings are typically integrated with multiple distributed energy resources (DERs), enabling them to act as building prosumers engaged in both energy production and consumption. Peer-to-peer (P2P) energy trading among building prosumers is crucial to improve their benefits. However, further exploration is required to balance the benefits between building prosumers and the system operator (e.g., the integrated community energy system (ICES) operator) since they are different entities. In this context, this paper proposes a comprehensive network charge and energy sale pricing scheme for the ICES operator on heterogeneous building prosumers with P2P multi-energy trading. The interaction between the ICES operator and building prosumers is modelled as a bi-level optimization problem that belongs to the hierarchical structure, while considering the heterogeneity of thermal insulation performance of …

A three-layer planning framework for regional integrated energy systems based on the quasi-quantum theory

Authors

Yang Lei,Dan Wang,Hao Cheng,Hongjie Jia,Ya Li,Shichuan Ding,Xiaoxuan Guo

Journal

International Journal of Electrical Power & Energy Systems

Published Date

2024/1/1

With the rapid development in social informatization, more and more factors, such as regional economy, technological development, and people’s living needs, will affect the supply–demand relationship of regional integrated energy systems (RIES), which involve multiple energy forms. These factors turn the supply–demand relationship of an energy system into a nonlinear and time-varying chaotic system. This makes it difficult to predict and balance these relationships, which poses a huge challenge to the prediction, planning, operation, etc. Existing conventional methods attempt to quantify the prediction bias caused by various external environmental factors of energy systems and to weaken the uncertainty caused by multiple energy loads through random programming. However, uncertainty factors increase with the development of an energy system, thereby inreasing the requirements of such uncertainty …

Dispatchable onsite electricity generation evaluation of steel plants considering load uncertainty

Authors

Qiulin Wang,Xiandong Xu,Hongjie Jia

Journal

Energy Reports

Published Date

2023/9/1

As a typical energy-intensive industry, the steel industry is usually equipped with an onsite energy supply system, indicating a strong capability in demand response. To meet the market requirements, the dispatchable electricity generation boundaries of the steel plant need to be evaluated. However, the forecast errors of local steam and electric load make it difficult to achieve accurate dispatchable boundaries. This paper proposes a novel method to evaluate the dispatchable boundaries of the energy supply system. A multi-energy system model is developed to characterize the interactions between the gas, steam, and electrical systems of the steel plant. An adaptive robust optimization framework is used to evaluate the dispatchability under the uncertainty of the steam load and the electricity load. The proposed method is tested using data from a real steel plant in Europe. The results show that the energy supply …

Market power modeling and restraint of aggregated prosumers in peer-to-peer energy trading: A game-theoretic approach

Authors

Zibo Wang,Lei Dong,Mengjie Shi,Ji Qiao,Hongjie Jia,Yunfei Mu,Tianjiao Pu

Journal

Applied Energy

Published Date

2023/10/15

The aggregator can be introduced to the community microgrid to facilitate small-scale prosumers participating in peer-to-peer (P2P) energy trading. However, when the aggregator performs price anticipation for profit with its market power, market trading fairness and efficiency of the P2P market may be harmed. To analyze the formation and negative effect of market power, this paper proposes a market power modeling and restraint method of aggregated prosumers with a game-theoretic approach. First, a framework for the P2P energy trading market with the aggregator is established, and the price impact factor is defined and introduced to characterize the impact of the aggregator's trading behavior on the market price. Then, the competition between the aggregator and individual prosumers is modeled as a non-cooperative game, and the impacts of market power on price formation, trading profit, and overall benefit …

Risk assessment and alleviation of regional integrated energy system considering cross-system failures

Authors

Zeyu Liu,Hang Li,Kai Hou,Xiandong Xu,Hongjie Jia,Lewei Zhu,Yunfei Mu

Journal

Applied Energy

Published Date

2023/11/15

Regional integrated system (RIES) bridges the gaps among different energy systems by various energy conversion equipment. While this integration brings forth numerous benefits, it introduces cross-system failures, where a contingency in one system may affect others. This poses significant challenges when evaluating the consequences of such contingencies. To address this, a risk assessment approach is developed for RIES, considering cross-system failures, as well as fluctuations in renewable generation and multi-energy loads. Event tree analysis (ETA) is adopted to simulate the propagation of failures and identify the affected components. Nine risk indices are proposed to quantify the operational risk of RIES at various levels. Additionally, root cause identification and weak point location are developed to formulate risk alleviation strategies. To validate the proposed method, a RIES with 101 nodes is utilized …

WGAN-GP with Residual Network Model for Lithium Battery Thermal Image Data Expansion with Quantitative Metrics

Authors

Fengshuo Hu,Chaoyu Dong,Mingshen Wang,Qian Xiao,Yunfei Mu,Hongjie Jia

Published Date

2023/5/12

Energy storage systems, especially lithium battery energy storage, play a significant role in microgrids. Thermal images of lithium batteries are crucial for the study of lithium batteries since lithium batteries are strongly impacted by temperature. In order to increase the sample of thermal images from lithium batteries, this paper designs the WGAN-GP with ResNet model (Wasserstein generative adversarial network with gradient penalty and residual networks). A complete WGAN-GP with ResNet model is built with the embedding of a generative adversarial network (GAN) structure, introducing gradient penalties, and combining residual networks. The experimental results demonstrate that WGAN-GP with ResNet have a greater improvement in training stability and generated image quality than GAN and Wasserstein GAN by using four evaluation indicators to examine the generated image quality.

A Multi-Objective Stochastic Optimization Approach for Planning a Multi-Energy Microgrid Considering Unscheduled Islanded Operation

Authors

Yan Cao,Yunfei Mu,Hongjie Jia,Xiaodan Yu,Kai Hou,Huiyuan Wang

Journal

IEEE Transactions on Sustainable Energy

Published Date

2023/12/12

The multi-energy microgrid (MEMG) improves the energy supply economy through a multi-energy coupling operation. However, due to faults or maintenance, outages may occur in the main grid, forcing the MEMG switch to the islanded mode, which heavily impacts the energy supply reliability. To solve this problem, a multi-objective stochastic optimization approach for planning the MEMG considering unscheduled islanded operation is proposed in this paper. This method aims to optimize the planning decision, improve the operation economy in the grid-connected mode and enhance the energy supply reliability in the islanded mode. A planning-operation co-optimization model is established with two objective functions: the minimum total planning cost and the minimum expected economic loss caused by islanded operation. The model incorporates equipment capacity allocation constraints, operation constraints in …

Submodule Capacitance Monitoring Approach for the MMC With Asymptotically Converged Error

Authors

Qian Xiao,Huai Wang,Yu Jin,Hongjie Jia,Yunfei Mu,Jiebei Zhu,Remus Teodorescu,Frede Blaabjerg

Journal

IEEE Transactions on Industrial Electronics

Published Date

2023/6/26

To reduce noise interferences and improve the steady-state estimation accuracy of submodule (SM) capacitors, a novel SM capacitance monitoring approach has been proposed for the modular multilevel converter in this article. First, the fundamental frequency (FF) component is analyzed to be dominant of the capacitor voltage squared. Then, based on the energy equation W = Cv 2 /2, half of the FF capacitor voltage squared is selected as the input variable, and the FF capacitor energy calculated by power integral is selected as the feedback component. By proper design of the estimation law, closed-loop capacitance monitoring can be achieved with reduced noise interference. Furthermore, based on the Lyapunov stability criterion, the estimation parameter is designed so that the estimation error asymptotically converges to zero. Compared with the conventional methods, the proposed approach is easy to …

Rolling horizon optimization for real-time operation of prosumers with Peer-to-Peer energy trading

Authors

Xiaoyu Wang,Zibo Wang,Yunfei Mu,Youjun Deng,Hongjie Jia

Journal

Energy Reports

Published Date

2023/3/1

Peer-to-Peer energy trading is recognized as a promising approach for prosumers to improve the operational economics. However, the uncertainty of renewable energy poses challenges to the reliable and economical operations of prosumers. This paper focuses on the real-time operation of prosumers. An efficient rolling horizon optimization-based real-time operation strategy for prosumers is proposed to minimize the total operational cost in one-day, in which the thermal comfort demand of the prosumers is also considered. The case study is finally conducted for 94 prosumers located at an urban community microgrid in a typical summer day scenario. Simulation results show that the proposed rolling horizon operation strategy can make full use of the flexible energy resources of prosumers, realizing the local energy supply–demand balance while improving prosumers’ operational economics. Moreover, the …

Exploring power system flexibility regulation potential based on multi‐base‐station cooperation self‐optimising sleep strategy for 5G base stations

Authors

Xiaoyan Ma,Yunfei Mu,Hongjie Jia,Ming Li,Yu Long,Qifeng Huang,Xinyang Jiang

Journal

IET Energy Systems Integration

Published Date

2023

5G base stations (BSs) are potential flexible resources for power systems due to their dynamic adjustable power consumption. However, the ever‐increasing energy consumption of 5G BSs places great pressure on electricity costs, and existing energy‐saving measures do not fully utilise BS wireless resources in accordance with dynamic changes in communication load, resulting in flexible resource waste and seriously limiting electricity cost savings for 5G BSs. A multi‐BS cooperation self‐optimising sleep strategy for 5G BSs that consists of an initial user association stage based on multi‐BS cooperation (MBSC) and a self‐optimising variable‐threshold sleep stage (SVTS). First, a heterogeneous cellular network (HCN) model is established. Then, a 5G BS economic optimisation model is constructed, which aims at minimising the electricity cost of the BSs and takes the BS and user equipment (UEs) states in the …

See List of Professors in Hongjie Jia University(Tianjin University)

Hongjie Jia FAQs

What is Hongjie Jia's h-index at Tianjin University?

The h-index of Hongjie Jia has been 52 since 2020 and 62 in total.

What are Hongjie Jia's top articles?

The articles with the titles of

Bi-level optimal operations for grid operator and low-carbon building prosumers with peer-to-peer energy sharing

Two-stage affine assessment method for flexible ramping capacity: An inverter heat pump virtual power plant case

Online lithium-ion battery intelligent perception for thermal fault detection and localization

DPGS: Data-driven photovoltaic grid-connected system exploiting deep learning and two-stage single-phase inverter

The Static Stability Region of an Integrated Electricity-Gas System Considering Voltage and Gas Pressure

Evolution prediction method for electric private car ownership considering the decision-making behaviour of consumers

A simplified control parameter optimisation method of the hybrid modular multilevel converter in the medium‐voltage DC distribution network for improved stability under a weak …

CWGAN-GP with residual network model for lithium-ion battery thermal image data expansion with quantitative metrics

...

are the top articles of Hongjie Jia at Tianjin University.

What are Hongjie Jia's research interests?

The research interests of Hongjie Jia are: Power System, Smart Grid, Integrated Energy Systems

What is Hongjie Jia's total number of citations?

Hongjie Jia has 14,316 citations in total.

What are the co-authors of Hongjie Jia?

The co-authors of Hongjie Jia are Jinyue Yan, Jianzhong Wu, Ned Djilali, Qiuwei Wu, Kang Li, Junbo Zhao.

    Co-Authors

    H-index: 81
    Jinyue Yan

    Jinyue Yan

    Kungliga Tekniska högskolan

    H-index: 72
    Jianzhong Wu

    Jianzhong Wu

    Cardiff University

    H-index: 71
    Ned Djilali

    Ned Djilali

    University of Victoria

    H-index: 63
    Qiuwei Wu

    Qiuwei Wu

    Danmarks Tekniske Universitet

    H-index: 55
    Kang Li

    Kang Li

    University of Leeds

    H-index: 46
    Junbo Zhao

    Junbo Zhao

    Mississippi State University

    academic-engine

    Useful Links