Article
Engineering, Electrical & Electronic
Enrique Espina, Roberto Cardenas-Dobson, John W. Simpson-Porco, Doris Saez, Mehrdad Kazerani
Summary: This article introduces a novel distributed secondary control strategy to coordinate the control actions of the ac and dc sides in hybrid ac/dc microgrids, improving power-sharing accuracy and dynamic response of the system.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Engineering, Multidisciplinary
Xin Lin, Ramon Zamora, Craig A. Baguley
Summary: This article proposes a comprehensive multi-functional controller for a hybrid energy storage system. The output power of the battery converter is controlled using V-dP/dt for slow dynamic response, while the SC converter is regulated using the traditional V-P droop for fast response. The SC converter control maintains the dc bus voltage within a safe range, eliminating the need for a voltage recovery loop. Furthermore, a consensus-based voltage compensator is introduced to achieve state of charge balance and power sharing among batteries.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Mengxuan Shi, Mohammad Shahidehpour, Quan Zhou, Xia Chen, Jinyu Wen
Summary: This study proposes an optimal consensus-based event-triggered control strategy to coordinate multiple distributed energy resources in a DC microgrid. The strategy integrates voltage restoration and current sharing, transforming the coordinated control problem into an optimization one to enhance resilience in extreme events. The proposed control strategy provides a sampled-data-based event-triggered mechanism to reduce communication burdens and avoid Zeno behaviors.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Mohammad S. Golsorkhi, Mehdi Savaghebi
Summary: The article introduces a GPS-based decentralized control strategy for hybrid ac/dc microgrids, utilizing V-I droop characteristics and a droop control method to achieve global power sharing among DERs. The proposed method eliminates transient overshoots of DERs' output powers by providing a fast and overdamped dynamic response, without the need for frequency or power calculations.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Article
Automation & Control Systems
Rui Wang, Qiuye Sun, Ji Han, Jianguo Zhou, Wei Hu, Huaguang Zhang, Peng Wang
Summary: This article proposes a distributed secondary H-infinity consensus approach based on dynamic event-triggered communication to achieve accurate current sharing and efficient operation in dc microgrids. By considering the impacts of distributed generators and constant power loads, the proposed method aims to reduce communication and controller updating frequency while avoiding Zeno behavior and obtaining the lowest bound of the sampled time interval. Numerical simulation and experimental results verify the effectiveness of the control strategy in achieving accurate current sharing and efficient operation in the presence of numerous DGs and CPLs.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Energy & Fuels
Dan Zhou, Shangren Chen, Hanyun Wang, Minyuan Guan, Lihua Zhou, Jian Wu, Yaojie Hu
Summary: The paper proposes an autonomous cooperative control method for multi-energy microgrids, which can achieve efficient energy utilization and reliable power supply; the small signal model can be used to analyze system characteristics and guide control parameter design.
FRONTIERS IN ENERGY RESEARCH
(2021)
Article
Automation & Control Systems
Carolina Albea-Sanchez
Summary: This work proposes a novel paradigm for designing two layers of control laws for DC-bus microgrids in islanded mode. It focuses on inner control level for DC-DC electronic power converters and outer control level for controlling DC-bus microgrids, utilizing Hybrid Dynamical System theory and Multi-Agent System theory to ensure system performance and stability.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2021)
Article
Energy & Fuels
Khalil Gholami, Ali Azizivahed, Ali Arefi
Summary: Electric Vehicle Fleets (EVFs) will play a significant role in future transportation systems due to their environmental friendliness. This study proposes a new management strategy for scheduling the charging/discharging of EVFs in hybrid AC-DC microgrids under high penetration of renewable energy sources (RESs), aiming to minimize operational costs and address technical constraints. Information-gap decision theory (IGDT) is utilized to handle uncertainties, and the proposed strategy is evaluated using modified 69-bus and 94-bus systems. The results demonstrate the effectiveness and applicability of the strategy in reducing operational costs and enhancing technical aspects.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Automation & Control Systems
Zhe Zhang, Chi Jin, Yi Tang, Chaoyu Dong, Pengfeng Lin, Yang Mi, Peng Wang
Summary: This article presents a compact interlinking converter modular (ICM) for hybrid ac/dc microgrids with a distributed storage (DS) bus for storage integration. The proposed ICM involves a nine-switch topology with compact configuration and decreased number of active operating switches, which can enhance the overall modular performance and effectively manage component elements.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Computer Science, Information Systems
Woon-Gyu Lee, Thai-Thanh Nguyen, Hyeong-Jun Yoo, Hak-Man Kim
Summary: This study proposes a consensus-based hybrid multi-agent management system that combines centralized and decentralized control methods to achieve economic operation and load balance in microgrid systems.
Article
Green & Sustainable Science & Technology
Xiangke Li, Chaoyu Dong, Wentao Jiang, Xiaohua Wu
Summary: This paper proposes a distributed dynamic event-triggered control strategy for the hybrid AC/DC microgrid to achieve global economic operation. The strategy enables economic power sharing among distributed generators through economic droop control, and ensures economic power interaction between the AC and DC subgrids through paralleled bidirectional interlinking converters.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2022)
Article
Engineering, Electrical & Electronic
Nasim Rashidirad, Jean Mahseredjian, Ilhan Kocar, U. Karaagac
Summary: In this paper, a novel unified load-flow framework for AC/DC hybrid multi-microgrids is proposed. The framework is based on the modified augmented nodal analysis (MANA) formulation and can handle the load-flow problem of islanded multi-microgrids with different frequencies.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Automation & Control Systems
Boxi Li, Chang Yu, Xiaoqing Lu, Fanrong Wang
Summary: This article proposes a SoC balancing strategy for battery energy storage systems in DC microgrids. By using an integral feedforward sliding mode controller to improve the voltage response speed of the converter, and an adaptive droop control strategy to achieve cooperation and SoC balance among multiple batteries. Simulation results show that the proposed strategy can improve the transient performance and robustness of BESSs against PV output power volatility.
Article
Engineering, Electrical & Electronic
Haytham M. A. Ahmed, Hatem F. Sindi, Maher A. Azzouz, Ahmed S. A. Awad
Summary: This paper proposes a three-stage energy trading framework for interconnected AC-DC hybrid microgrids, aiming to minimize the operating cost of each microgrid. The framework allows each microgrid to optimize its local resources and exchange power with neighboring microgrids and the main grid, ensuring economic and reliable operation.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Review
Energy & Fuels
Wei Pei, Xue Zhang, Wei Deng, Chenghong Tang, Liangzhong Yao
Summary: This article emphasizes the importance of hydrogen production from renewable energy sources for achieving carbon peak and carbon neutralization. It discusses the operational constraints and characteristics of a hydrogen energy storage system in order to ensure efficient and stable operation of a DC microgrid with an electric-hydrogen hybrid energy storage system. The article compares different hydrogen production systems using water electrolysis and analyzes the impact of hydrogen energy storage access on the operational mode of the DC microgrid. It also classifies and analyzes operational control strategies for the DC microgrid with electric-hydrogen hybrid energy storage system from various aspects. Finally, the advantages of a modular hydrogen production system are described, and future research directions and technical issues are discussed.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2022)
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
Automation & Control Systems
Bowen Xu, Fanghong Guo, Lantao Xing, Yu Wang, Wen-An Zhang
Summary: In this study, a two-stage hybrid learning-based optimization approach is proposed to address the power scheduling problem in more electric aircraft (MEA). The proposed approach utilizes ensemble deep neural networks (EDNNs) to solve the optimization problem of integer variables in the first stage and transforms the problem into a quadratic programming problem in the second stage. Compared to other methods, this approach achieves orders of magnitude speedup in computational time while guaranteeing optimal scheduling performance. Offline simulation and online hardware-in-the-loop tests validate the advantages of the proposed approach.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Tianyang Zhao, Haoyuan Yan, Xiaochuan Liu, Zhaohao Ding
Summary: The electrification of vehicles has strengthened the interaction between power systems and transportation systems, resulting in the formation of coupled transportation power systems (CTPSs). A novel optimal traffic power flow (OTPF) problem is proposed to analyze the spatial and temporal congestion propagation on CTPSs. This problem considers congested roads, transmission lines, and charging stations. The spatial and temporal distribution of electric vehicles (EVs) on roads and charging stations, connected by multilayer time-space networks (TSNs), is used to depict the traffic flow. The distribution is obtained by optimizing the charging, discharging, routing, and origin-destination pairing of EV fleets on TSNs, while the power flow is captured using dynamic optimal power flow problems with security constraints. An algorithm combining the alternating direction multiplier method with the convex-concave procedure is proposed to solve OTPFs. The results validate the effectiveness of the proposed scheme for managing congestion on CTPSs.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Weitao Yao, Yu Wang, Yan Xu, Chaoyu Dong
Summary: Networked microgrid (NMG) system is an effective solution to improve power system reliability and resilience. The distributed control, with its high reliability, scalability, and low computational burden, is a promising approach for NMG. However, the heterogenous time delays in the information exchange among distributed generators and sub-microgrids can deteriorate system stability. This paper focuses on the small-signal stability analysis of a DC NMG with multiple time delays, and proposes a lead-lag compensation controller to enhance system stability.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Yanchang Liang, Zhaohao Ding, Tianyang Zhao, Wei-Jen Lee
Summary: Battery swapping-charging systems (BSCSs) can provide better battery swapping services for electric vehicles (EVs) in large cities. This paper models the real-time optimization scheduling problem as a decentralized partially observable Markov decision process (Dec-POMDP) and solves it using multi-agent deep reinforcement learning (MADRL) algorithms. To address dynamic hard constraints, MADRL is combined with binary integer programming (BLP) to propose the VDN-BLP algorithm. Simulation results based on historical battery swapping data in Sanya City validate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Green & Sustainable Science & Technology
Qi Yao, Bo Ma, Tianyang Zhao, Yang Hu, Fang Fang
Summary: This paper proposes a data-driven fatigue model for wind turbines based on deep neural network (DNN), establishes the relationship between wind speed, power, and other measurable parameters with fatigue load, and effectively reduces the fatigue load of wind turbines through optimization algorithm.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Computer Science, Information Systems
Tianyang Zhao, Xiong Liu, Peng Wang, Frede Blaabjerg
Summary: This article proposes a two-stage stochastic unit commitment problem to improve the operational efficiency of networked hybrid ac/dc microgrids. The nonlinear power losses of converters are modeled as multivariate nonlinear functions, and linear surrogate models are used to approximate these functions. The dynamic optimal power flow problem is embedded as mixed-integer recourse, and a finite iteration convergent Benders decomposition algorithm is used to solve the problem.
IEEE SYSTEMS JOURNAL
(2023)
Article
Green & Sustainable Science & Technology
Jun Guo, Jiechao Zhang, Tianyang Zhao, Xiao Qi
Summary: To enhance the resilience of transmission systems with offshore wind farms before typhoons, a proactive unit commitment scheme is proposed. A novel scenario tree is introduced to quantify the uncertain impacts of typhoons on offshore wind farms, transmission lines, and system states. The unit commitment problem is formulated as a two-stage stochastic optimization problem and solved using a multi-cuts Benders decomposition algorithm. Simulations on a modified IEEE-RTS 79 test system demonstrate the effectiveness of the proposed model in load shedding and frequency nadir enhancement.
IET RENEWABLE POWER GENERATION
(2023)
Article
Green & Sustainable Science & Technology
Yuxin Wu, Haoyuan Yan, Min Liu, Tianyang Zhao, Jiayu Qiu, Shengwei Liu
Summary: This paper proposes a distributed energy trading scheme for a cluster of networked energy hubs, with non-discriminatory pricing. Each energy hub is treated as a self-interested agent and a hybrid AC/DC microgrid-embedded EH model is proposed to optimize operating costs. The global coupling constraints among NEHs are represented as supply limits of input energy systems. The distributed energy trading is formulated as a generalized Nash game (GNG), and an efficient distributed algorithm is proposed to compute a Nash equilibrium for the problem.
Article
Computer Science, Information Systems
Hang Yang, Qing Fu, Benfei Wang, Yishan Chen, Yixing Su
Summary: Parallel-connected converters are widely used in applications like DC microgrids. This paper presents a communication line-free method that reduces system complexity and cost while improving reliability.
Article
Engineering, Multidisciplinary
Yuanzheng Li, Xiao Ren, Zhixian Ni, Tianyang Zhao, Leijiao Ge, Xi Li, Yunfeng Luo, Yong Zhao
Summary: In this paper, a coordinated operation method for a system containing electric vehicle charging stations and a distribution power network is proposed. This method considers integrated energy and reserve regulation. Firstly, a multi-objective optimization model is proposed based on the network calculus theory, considering economic cost and quality of service. Secondly, a characteristic function and a modified Shapely value method based on the coalition game are adopted to study the allocation of economic benefits brought by the coordinated operation. Finally, simulation studies validate the effectiveness of the proposed method by comparing the operation costs of the system in non-coordinated and coordinated modes.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Guangyu Song, Xinghua Liu, Jiaqiang Tian, Gaoxi Xiao, Tianyang Zhao, Peng Wang
Summary: In this paper, a neural network improved dragon-fly algorithm (NNIDA) based approach is proposed to improve the performance of tracking the global maximum power point (GMPP) in photovoltaic systems. The approach can quickly and accurately locate the maximum power point, independent of the configuration of PV modules and the availability of irradiance and temperature sensors.
IEEE TRANSACTIONS ON POWER DELIVERY
(2023)
Article
Green & Sustainable Science & Technology
Guoxiu Jing, Junqi Liu, Tianyang Zhao, Bonan Huang, Rui Wang
Summary: A distributed dynamic event-triggered control method is proposed in this paper to address the stochastic and intermittent issues caused by distributed renewable energy generation units in microgrids. The method aims to achieve proportional current sharing among the units while reducing communication cost. The authors establish a state space function model considering unknown disturbances and uncertainties caused by constant power loads. They transform the system model into a standard linear heterogeneous multiagent system and propose a distributed dynamic event-triggered control method with consensus algorithm. Compared to conventional approaches, their method based on directed topology reduces controller updating and communication frequency, avoids Zeno behavior, and is easier to implement while handling uncertain loads and constant power loads. Simulation results demonstrate the effectiveness of the proposed method.
IET RENEWABLE POWER GENERATION
(2023)
Article
Energy & Fuels
Ruixin Ma, Xuning Feng, Tianyang Zhao, Wencan Zhang, Min Liu, Weixiong Wu
Summary: This study investigates the use of composite phase change material (PCM) in preventing thermal runaway propagation (TRP) in electrochemical energy storage systems. It is found that two types of composite PCM with high and low thermal conductivity can effectively inhibit TRP.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Xiong Liu, Tianyang Zhao, Hui Deng, Peng Wang, Jizhen Liu, Frede Blaabjerg
Summary: Microgrids (MGs) are playing a crucial role in the transition to low-carbon energy systems due to their efficient network architecture, flexible integration of various loads and energy sources, and resilient operation. This paper provides a comprehensive summary of research on MGs and energy management techniques, including classification of MGs and energy storage systems, models for managing uncertainties, and solution methods such as mathematical programming and deep reinforcement learning. The paper also discusses future challenges in energy management systems, including critical component models, stability constraints, resilience awareness, market operation, and emerging computational techniques.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2023)
