Article
Green & Sustainable Science & Technology
Junjie Zhong, Yong Li, Yijia Cao, Yi Tan, Yanjian Peng, Yicheng Zhou, Yosuke Nakanishi, Zhengmao Li
Summary: This paper proposes a distributed scheduling method for the coordination between multi-energy microgrid and distribution network under operational uncertainties. The method combines column and constraint generation algorithm, multi-interval convex hull uncertainty set, and Bregman alternating direction method with multipliers to improve convergence. Simulation tests on IEEE-33 node distribution network and a park-level microgrid demonstrate the effectiveness of the proposed model and method.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Energy & Fuels
Yicheng Lian, Yuanzheng Li, Yong Zhao, Chaofan Yu, Tianyang Zhao, Lei Wu
Summary: This paper proposes a multi-objective optimization model for data center microgrids, taking into account uncertainties and evaluating the effectiveness of uncertainty handling methods. Simulation results show that the proposed approach has advantages in reducing operating costs and reveals quantitative relationships between different objectives.
Article
Energy & Fuels
Daniel Koebrich, Luis G. Marin, Diego Munoz-Carpintero, Constanza Ahumada, Doris Saez, Mark Sumner, Guillermo Jimenez-Estevez
Summary: This paper presents a new robust distributed approach for the energy management of rural multi-microgrids communities in Chile. The proposed method uses robust distributed Model Predictive Control (MPC) and fuzzy prediction interval models to improve the reliability of the system and accurately predict load and renewable energy generation. It demonstrates that the proposed approach can enhance power supply, apply peak shaving, and operate efficiently even when communication between microgrids is lost.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Peng Sun, Teng Yun, Zhe Chen
Summary: The close interaction between biomass waste disposal energy supply and multi-energy systems is proposed in a MEMG framework, with a focus on flexible regulation and optimization to minimize costs and maximize waste disposal.
Article
Engineering, Electrical & Electronic
Yunhui Shi, Shufeng Dong, Chuangxin Guo, Zhe Chen, Luyu Wang
Summary: The paper introduces a multi-stage robust program to address the real-time economic dispatch problem, which can better utilize energy storage systems and mitigate the risk of high costs.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Feixiong Chen, Hongjie Deng, Yuchao Chen, Jianming Wang, Chunlin Jiang, Zhenguo Shao
Summary: “This paper proposes a distributed robust cooperative scheduling method for the multi-region electricity-natural gas-heat integrated energy systems (IESs), considering the dynamic characteristics and uncertainties. The method effectively addresses the challenges of information privacy and decision-making independence in multi-region IES.”
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Energy & Fuels
Arsalan Najafi, Mahdi Pourakbari-Kasmaei, Michal Jasinski, Matti Lehtonen, Zbigniew Leonowicz
Summary: This paper proposes a linear max-min-max robust optimization-based decision-making tool to address the uncertainties of electricity market prices and wind generation. The system's robustness is increased through the use of an electrical storage system and an uncertainty budget model. Additionally, the integration of a power to gas (P2G) storage system creates a link between the electrical and natural gas networks, resulting in cost savings.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Construction & Building Technology
Yongyi Huang, Hasan Masrur, Molla Shahadat Hossain Lipu, Harun Or Rashid Howlader, Mahmoud M. Gamil, Akito Nakadomari, Paras Mandal, Tomonobu Senjyu
Summary: In order to enhance the efficiency and stability of renewable energy sources and energy security in microgrids, this paper proposes an optimal campus microgrid design that includes EV charging load prediction and a constant power support strategy from the main grid. The paper presents a detailed prediction method and effective solutions to address the problem of load variation caused by changes in the number of EVs connected to the microgrid. Simulation results show that the microgrid system can operate economically and stably with EV integration, reducing peak-to-valley value and CO2 emissions and increasing the income of EV users.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Energy & Fuels
Yuqi Zhou, Wenbin Yu, Shanying Zhu, Bo Yang, Jianping He
Summary: This paper investigates the energy management problem of an integrated retailer in multi-energy systems considering uncertainties. It proposes a model with chance constraints and risk sensitive cost, and utilizes both analytical and robust optimization methods to find solutions. The simulation results show that the proposed method outperforms existing techniques by producing less conservative and more effective results for energy management under uncertainties.
Article
Energy & Fuels
Amin Mansour-Saatloo, Yasin Pezhmani, Mohammad Amin Mirzaei, Behnam Mohammadi-Ivatloo, Kazem Zare, Mousa Marzband, Amjad Anvari-Moghaddam
Summary: In response to the growing demand for HFCVs and EVs in the transportation sector, this paper proposes a robust decentralized energy management framework for multi-energy microgrid systems, optimizing the scheduling of interconnected hydrogen, heat, and power-based microgrids and using the ADMM algorithm to protect data privacy.
Article
Engineering, Electrical & Electronic
Tao Xu, Yi Ren, Lingxu Guo, Xiaoxue Wang, Lemeng Liang, Yuhan Wu
Summary: A multi-objective robust optimization strategy is proposed to maximize the utilization of renewables and minimize network losses in active distribution networks with multiple uncertainties. By constructing uncertainty sets of predicted PV outputs, extreme scenarios are chosen to establish constraints and reduce the dimension of calculation.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Construction & Building Technology
Rujing Yan, Jiangjiang Wang, Shuaikang Lu, Zherui Ma, Yuan Zhou, Lidong Zhang, Youliang Cheng
Summary: An integrated energy system (IES) is considered effective in reducing carbon emissions, lowering energy supply costs, and increasing system flexibility. A planning method integrating various methods is proposed to address challenging issues in selecting device types and determining their capacity size under load uncertainty. The method is implemented in an industrial park to study the impact of load budget uncertainty, annual load growth rate, and energy purchase price.
ENERGY AND BUILDINGS
(2021)
Article
Engineering, Electrical & Electronic
Bo Wang, Cuo Zhang, Chaojie Li, Guangya Yang, Zhao Yang Dong
Summary: This paper proposes a transactive energy sharing (TES) approach for minimizing the total social cost in microgrids, considering network operating constraints. The approach utilizes an alternating direction method of multipliers (ADMM) and an adaptive robust optimization (ARO) method to address the uncertainties in the system. The simulation results confirm the efficiency and robustness of the proposed TES method.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Electrical & Electronic
Zhichao Shi, Tao Zhang, Yajie Liu, Yunpeng Feng, Rui Wang, Shengjun Huang
Summary: In this paper, a two-stage distributionally robust model is proposed for the optimal design and operation of islanded multi-microgrid (MMG) system. The uncertainty of renewable generation is considered, and the first-stage design strategy and second-stage operation decision are co-optimized by minimizing the investment cost and operation cost. A distance-based ambiguity set is employed to model the uncertainty of renewable power. The two-stage problem is solved using a column and constraint generation (CCG) based method. Simulation experiments with an islanded MMG system demonstrate the effectiveness and performance of the proposed model.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Zhi-Peng Yuan, Peng Li, Zhen-Long Li, Jing Xia
Summary: In this paper, a day-ahead microgrid energy management framework with demand response aggregator is developed to maximize social welfare while considering user privacy and renewable energy uncertainty. The paper proposes a distributed optimization method and a risk-adjusted uncertain set model to protect user privacy and improve system scalability. Simulations verify the effectiveness of the proposed framework and strategy.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Engineering, Electrical & Electronic
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng
Summary: In this paper, the historical network loss is calculated using cleaned historical data and machine learning technologies are used to analyze the loss of distribution network and predict future loss. The experimental results show that the data cleaning methods and improved algorithms are effective for enhancing prediction accuracy.
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS
(2023)
Article
Automation & Control Systems
Fang Liu, Haitao Liu, Yong Li, Denis Sidorov
Summary: This paper proposes two relaxed negative-determination lemmas to deduce the negative definite condition of a quadratic function with respect to a time-varying delay. The developed lemmas are applied to derive the stability criteria for nominal and uncertain systems, and numerical examples are given to demonstrate their potential advantages and superiority over previous work.
Article
Engineering, Multidisciplinary
Jinjie Lin, Sixiang Lin, Yong Li, Sijia Hu, Jing Zhang, Jie Zhang, Bonan An, Zhiwen Zhang, Bin Xie, Fangyuan Zhou, Yang Cao, Jiahua Yu
Summary: This paper proposes an energy storage-based railway power flow controller (ES-RPFC) with partial compensation strategy (PCS) to improve grid-connection performance and utilize regenerative braking energy (RBE). The relationship between primary power factor (PF), two-phase compensated power, and converters' rating is investigated, and a PCS is developed to reduce converters' rating while satisfying grid-connection indices. A comprehensive power-flow management scheme is then established, considering the developed PCS, and the control strategy of the converter-level controller is provided. Simulation and hardware-in-loop (HIL) experimental results confirm the feasibility and effectiveness of the proposal.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Shaoyang Wang, Yong Li, Mingmin Zhang, Yanjian Peng, Ye Tian, Gang Lin, Fanrui Chang
Summary: This article presents a novel scheme of using the inductive power filtering method (IPFM) to solve the harmonic resonance issues in large-scale photovoltaic (PV) plants, taking actual engineering as a case study. The performance of power filters is improved by reshaping the impedance network of the PV plant using the special structure and dual zero-impedance design of IPFM, thus suppressing the harmonic resonance caused by the interaction between inverters and the power grid. The topology and components of the IPFM-based large-scale PV plant are introduced, and the mathematical model and simplified circuit are established. The feasibility of the proposal is verified through simulation and engineering tests.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Green & Sustainable Science & Technology
Junjie Zhong, Yong Li, Yijia Cao, Yi Tan, Yanjian Peng, Yicheng Zhou, Yosuke Nakanishi, Zhengmao Li
Summary: This paper proposes a distributed scheduling method for the coordination between multi-energy microgrid and distribution network under operational uncertainties. The method combines column and constraint generation algorithm, multi-interval convex hull uncertainty set, and Bregman alternating direction method with multipliers to improve convergence. Simulation tests on IEEE-33 node distribution network and a park-level microgrid demonstrate the effectiveness of the proposed model and method.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Computer Science, Information Systems
Qiang Ou, Longfu Luo, Yong Li, Ying Li, Jinwen Xiang
Summary: Power transformers are susceptible to external short circuit impact during operation, which can cause winding destabilization and collapse. The traditional analytical methods ignore the manufacturing deviation and operation impact. To overcome this limitation, the paper proposes the equivalent support stiffness (ESS) analytical method, which considers the effects of assembly gaps and insulation shrinkage. The feasibility of the ESS method is demonstrated through short-circuit tests on two transformers.
Article
Engineering, Electrical & Electronic
Li Jiang, Yao Sun, Yong Li, Zhongting Tang, Fulin Liu, Yongheng Yang, Mei Su, Yijia Cao
Summary: This article extensively explores the dual-active-bridge (DAB) dc-dc converter with phase shift control, and comparatively analyzes the optimum performances achieved with different objectives in each mode. The principle and operating modes of TPS control are introduced in detail, followed by the systematic derivation of the electrical characteristics of the converter in each operating mode. The analysis includes resonant commutation in each dead-band and the identification of the soft-switching areas of the converter. Optimization objectives such as zero-voltage switching (ZVS), peak and root mean square (rms) of the inductor current, backflow power, and operating losses are considered, and the optimized results are contrastively analyzed.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Zhongxiang Li, Yanghong Tan, Yong Li, Xian Yang, Zhonghuan Su, Jun Liu, Shaoyang Wang, Yuankai Wang
Summary: This paper introduces the calculation and evaluation method of radial stability of transformers under short-circuit condition, and verifies it through experiments. The experimental results show that the evaluation method is accurate with a deviation of less than 5%, and the accumulation of short-circuit current can accurately determine the critical radial instability state of the transformer. The tests also confirm the existence of short-circuit cumulative effect in a transformer.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Qianyi Liu, Fang Liu, Yong Li, Shuzheng Wang
Summary: The research first introduces the tested 110 kV/23 MVA power supply system and the harmonic distribution at PCC. Multiple probability distribution functions are used to fit the background harmonic, and the optimal fitting function is selected. A simulation model of harmonic voltage is generated based on the selected fitting function. The harmonic contribution is determined using the superposition rule and the simulation model. The proposed method can be an alternative for harmonic contribution determination in engineering practice.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Energy & Fuels
Zhentao Xu, Junjie Ma, Yousong Gao, Yong Li, Haifeng Yu, Lu Wang
Summary: With the increasing use of wind power and photovoltaic generation, the penetration rate of power electronics has also increased. The inertia characteristics of power-electronic-based power sources are different from synchronous generators, making their evaluation challenging. This paper analyzes the inertia characteristics of power-electronic-based power sources and proposes a measurement-based inertia identification method for such sources and high-power-electronic-penetrated power systems. The study discusses the inertia characteristics of different control strategies and their corresponding control parameters through a case study, showing that power-electronic-based power sources can provide higher inertia than synchronous generators, and their inertia changes with the output power.
Article
Engineering, Electrical & Electronic
Fang Liu, Jianghu Wan, Li Jiang, Yong Li, Kang-Zhi Liu
Summary: This article presents a soft-switching full-bridge AC-DC converter with a simple active auxiliary branch. The converter achieves zero voltage switching and zero current switching conditions through the use of auxiliary switches and inductors. A clamping technique is employed to mitigate the voltage stresses caused by resonance. The proposed converter demonstrates high efficiency and outstanding performance.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Green & Sustainable Science & Technology
Junjie Zhong, Yong Li, Yan Wu, Yijia Cao, Zhengmao Li, Yanjian Peng, Xuebo Qiao, Yong Xu, Qian Yu, Xusheng Yang, Zuyi Li, Mohammad Shahidehpour
Summary: This paper proposes a low-carbon operation model for an energy hub (EH) by combining the distributionally robust optimization (DRO) method with the Stackelberg game. The model incorporates a bilevel single-leader-multi-follower Stackelberg game and a Kullback-Leibler (KL) divergence-based DRO model to handle the uncertainty of renewable generation in the EH. The proposed method is validated through numerical case studies.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Mathematics, Applied
Nikolay Sidorov, Denis Sidorov, Yong Li
Summary: This article studies the system of differential and operator equations and presents the conditions for the existence of equilibrium points. The solution can be constructed using the method of successive approximations, and the main theorem provides conditions for the existence and stability of global classical solutions. If the conditions are not satisfied, there may be explosive solutions or solutions that stabilize to equilibrium points. These equation systems can model nonlinear phenomena in power systems and chemical processes.
DIFFERENTIAL EQUATIONS AND DYNAMICAL SYSTEMS
(2023)
Article
Thermodynamics
Yong Cheng, Fukai Song, Lei Fu, Saishuai Dai, Zhiming Yuan, Atilla Incecik
Summary: This paper investigates the accessibility of wave energy absorption by a dual-pontoon floating breakwater integrated with hybrid-type wave energy converters (WECs) and proposes a hydraulic-pneumatic complementary energy extraction method. The performance of the system is validated through experiments and comparative analysis.
Article
Thermodynamics
Jing Gao, Chao Wang, Zhanwu Wang, Jin Lin, Runkai Zhang, Xin Wu, Guangyin Xu, Zhenfeng Wang
Summary: This study aims to establish a new integrated method for biomass cogeneration project site selection, with a focus on the application of the model in Henan Province. By integrating Geographic Information System and Multiple Criterion Decision Making methods, the study conducts site selection in two stages, providing a theoretical reference for the construction of biomass cogeneration projects.
Article
Thermodynamics
Mert Temiz, Ibrahim Dincer
Summary: The current study presents a hybrid small modular nuclear reactor and solar-based system for sustainable communities, integrating floating and bifacial photovoltaic arrays with a small modular reactor. The system efficiently generates power, hydrogen, ammonia, freshwater, and heat for residential, agricultural, and aquaculture facilities. Thermodynamic analysis shows high energy and exergy efficiencies, as well as large-scale ammonia production meeting the needs of metropolitan areas. The hybridization of nuclear and solar technologies offers advantages of reliability, environmental friendliness, and cost efficiency compared to renewable-alone and fossil-based systems.
Editorial Material
Thermodynamics
Wojciech Stanek, Wojciech Adamczyk
Article
Thermodynamics
Desheng Xu, Yanfeng Li, Tianmei Du, Hua Zhong, Youbo Huang, Lei Li, Xiangling Duanmu
Summary: This study investigates the optimization of hybrid mechanical-natural ventilation for smoke control in complex metro stations. The results show that atrium fires are more significantly impacted by outdoor temperature variations compared to concourse/platform fires. The gathered high-temperature smoke inside the atrium can reach up to 900 K under a 5 MW train fire energy release. The findings provide crucial engineering insights into integrating weather data and adaptable ventilation protocols for smoke prevention/mitigation.
Article
Thermodynamics
Da Guo, Heping Xie, Mingzhong Gao, Jianan Li, Zhiqiang He, Ling Chen, Cong Li, Le Zhao, Dingming Wang, Yiwei Zhang, Xin Fang, Guikang Liu, Zhongya Zhou, Lin Dai
Summary: This study proposes a new in-situ pressure-preserved coring tool and elaborates its pressure-preserving mechanism. The experimental and field test results demonstrate that this tool has a high pressure-preservation capability and can maintain a stable pressure in deep wells. This study provides a theoretical framework and design standards for the development of similar technologies.
Article
Thermodynamics
Aolin Lai, Qunwei Wang
Summary: This study assesses the impact of China's de-capacity policy on renewable energy development efficiency (REDE) using the Global-MSBM model and the difference-in-differences method. The findings indicate that the policy significantly enhances REDE, promoting technological advancements and marketization. Moreover, regions with stricter environmental regulations experience a higher impact.
Article
Thermodynamics
Mostafa Ghasemi, Hegazy Rezk
Summary: This study utilizes fuzzy modeling and optimization to enhance the performance of microbial fuel cells (MFCs). By simulating and analyzing experimental data sets, the ideal parameter values for increasing power density, COD elimination, and coulombic efficiency were determined. The results demonstrate that the fuzzy model and optimization methods can significantly improve the performance of MFCs.
Article
Thermodynamics
Zhang Ruan, Lianzhong Huang, Kai Wang, Ranqi Ma, Zhongyi Wang, Rui Zhang, Haoyang Zhao, Cong Wang
Summary: This paper proposes a grey box model for fuel consumption prediction of wing-diesel hybrid vessels based on feature construction. By using both parallel and series grey box modeling methods and six machine learning algorithms, twelve combinations of prediction models are established. A feature construction method based on the aerodynamic performance of the wing and the energy relationship of the hybrid system is introduced. The best combination is obtained by considering the root mean square error, and it shows improved accuracy compared to the white box model. The proposed grey box model can accurately predict the daily fuel consumption of wing-diesel hybrid vessels, contributing to operational optimization and the greenization and decarbonization of the shipping industry.
Article
Thermodynamics
Huayi Chang, Nico Heerink, Junbiao Zhang, Ke He
Summary: This study examines the interaction between off-farm employment decisions between couples and household clean energy consumption in rural China, and finds that two-paycheck households are more likely to consume clean energy. The off-farm employment of women is a key factor driving household clean energy consumption to a higher level, with wage-employed wives having a stronger influence on these decisions than self-employed ones.
Article
Thermodynamics
Hanguan Wen, Xiufeng Liu, Ming Yang, Bo Lei, Xu Cheng, Zhe Chen
Summary: Demand-side management is crucial to smart energy systems. This paper proposes a data-driven approach to understand the relationship between energy consumption patterns and household characteristics for better DSM services. The proposed method uses a clustering algorithm to generate optimal customer groups for DSM and a deep learning model for training. The model can predict the possibility of DSM membership for a given household. The results demonstrate the usefulness of weekly energy consumption data and household socio-demographic information for distinguishing consumer groups and the potential for targeted DSM strategies.
Article
Thermodynamics
Xinglan Hou, Xiuping Zhong, Shuaishuai Nie, Yafei Wang, Guigang Tu, Yingrui Ma, Kunyan Liu, Chen Chen
Summary: This study explores the feasibility of utilizing a multi-level horizontal branch well heat recovery system in the Qiabuqia geothermal field. The research systematically investigates the effects of various engineering parameters on production temperature, establishes mathematical models to describe their relationships, and evaluates the economic viability of the system. The findings demonstrate the significant economic feasibility of the multi-level branch well system.
Article
Thermodynamics
Longxin Zhang, Songtao Wang, Site Hu
Summary: This investigation reveals the influence of tip leakage flow on the modern transonic rotor and finds that the increase of tip clearance size leads to a decline in rotor performance. However, an optimal tip clearance size can extend the rotor's stall margin.
Article
Thermodynamics
Kristian Gjoka, Behzad Rismanchi, Robert H. Crawford
Summary: This paper proposes a framework for assessing the performance of 5GDHC systems and demonstrates it through a case study in a university campus in Melbourne, Australia. The results show that 5GDHC systems are a cost-effective and environmentally viable solution in mild climates, and their successful implementation in Australia can create new market opportunities and potential adoption in other countries with similar climatic conditions.
Article
Thermodynamics
Jianwei Li, Guotai Wang, Panpan Yang, Yongshuang Wen, Leian Zhang, Rujun Song, Chengwei Hou
Summary: This study proposes an orientation-adaptive electromagnetic energy harvester by introducing a rotatable bluff body, which allows for self-regulation to cater for changing wind flow direction. Experimental results show that the output power of the energy harvester can be greatly enhanced with increased rotatory inertia of the rotating bluff body, providing a promising solution for harnessing wind-induced vibration energy.