Article
Green & Sustainable Science & Technology
Yingliang Li, Heming Cai
Summary: In this study, a method for sequence optimization of DESSs in unbalanced distribution networks based on voltage sensitivity analysis is proposed, which can improve voltage performance while ensuring the economy of system operation.
IET RENEWABLE POWER GENERATION
(2022)
Article
Physics, Applied
Jinlong Ma, Jiaxin Ma, Xiaotian Li
Summary: This study proposes a novel routing strategy based on the properties of sine function, which enhances network traffic capacity and reduces congestion. The experimental results demonstrate that this strategy reduces the average path length and achieves a more uniform load distribution under different network sizes.
INTERNATIONAL JOURNAL OF MODERN PHYSICS B
(2023)
Article
Engineering, Environmental
Tamas Huzsvar, Richard Weber, Akos Dellei, Csaba Hos
Summary: The paper focuses on determining the best location for a new pipeline within an existing water distribution network (WDN) to maximize node-wise capacity. By defining the pressure sensitivity parameter and fitness function transformation technique, combined with a genetic algorithm, the optimization of real-life WDN topologies was achieved. The research scrutinizes three networks, highlighting typical deficiencies.
Article
Energy & Fuels
Bai Hao, Yao Ruotian, Pan Shuhui, Li Wei, Wang Kelong, Ling Wanshui
Summary: This paper proposes an optimal load capacity (OLC) evaluation method for distribution networks, which comprehensively considers utilization economy, operation economy, supply voltage quality, and supply reliability, effectively addressing the contradictory relationship in the evaluation of distribution system operation efficiency.
Article
Thermodynamics
Yongli Wang, Minhan Zhou, Fuli Zhang, Yuli Zhang, Yuze Ma, Huanran Dong, Danyang Zhang, Lin Liu
Summary: The reform of Transmission and Distribution (T&D) tariffs in China has put pressure on the revenue and operations of power grid companies. Research is needed to alleviate the negative impact and achieve sustainable development. The paper developed models to calculate investment capacity, coordination, and optimization, and proposed investment strategies and policy recommendations through empirical analysis.
Article
Mathematics, Applied
Keguo Ren, Qimin Zhang, Ting Li, Ting Kang
Summary: This paper presents an avian influenza model for heterogeneous complex networks, with analyses on the basic reproduction number, stability of equilibrium points, and an optimal control problem. Numerical simulations are used to demonstrate the main results, including the conditions for disease spread and control strategies for the outbreak.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2021)
Article
Computer Science, Interdisciplinary Applications
Lixia Tan, Fuqiang Wang, Kui Li
Summary: This paper investigates the impact of limited capacity on supply chain operations. The results show that the distribution strategy of the supplier depends on capacity and relative profitability. Limited capacity results in significant loss to the supply chain and can alleviate double marginalization. Additionally, two-sided revenue-sharing contract and two-sided buyback contract are proposed for effective coordination in the supply chain.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Automation & Control Systems
Jaivik Mankad, Balasubramaniam Natarajan, Babji Srinivasan
Summary: This study aims to develop a hybrid approach for sensor placement and state estimation in water distribution networks (WDNs) by exploiting the correlation structure in the data and the principles governing flow in circular pipes. The proposed method was evaluated using benchmark networks and achieved an average absolute percentage error (MAPE) of less than 5% when estimating node pressures. Understanding the states in the entire network can help operate the network adaptively.
Article
Mechanics
Zu-Yu Qian, Cheng Yuan, Jie Zhou, Shi-Ming Chen, Sen Nie
Summary: This study explores the incorporation of conformity behavior into network control and finds that controlling undirected networked systems with conformity becomes easier after the network connectivity reaches a critical point. The research also identifies key nodal structural characteristics and proposes an optimal control strategy to reduce energy consumption. These findings are validated in synthetic and real networks, highlighting their significance in describing control energy in networked systems.
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
(2022)
Article
Engineering, Industrial
Lin Zhang, Huiying Wen, Jian Lu, Da Lei, Shubin Li, Satish Ukkusuri
Summary: This study proposes a cascading reliability model for multi-modal public transit networks to address the issue of cascading failures. By considering the impact of other transit modes networks, the model enables efficient testing and calculation of network reliability, and its adaptability and controllability are validated through a case study.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Electrical & Electronic
Moein Borghei, Mona Ghassemi
Summary: This study focuses on the planning of microgrids to enhance the network's resilience against severe faults, proposing three solution approaches including a heuristic method and multiobjective mixed-integer linear programming. The validity of these methods is evaluated using IEEE bus test systems, demonstrating their effectiveness in strengthening the network against severe fault scenarios.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Multidisciplinary Sciences
Nathan Eli Miller, Saibal Mukhopadhyay
Summary: In this work, a Quantum Hopfield Associative Memory (QHAM) is introduced, showcasing its capabilities in simulation and hardware implementation. The QHAM exhibits resilience to noise, requires low overhead, and demonstrates high implementation efficiency in quantum machine learning applications.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Electrical & Electronic
Verner Puvi, Matti Lehtonen
Summary: This paper analyzes the impact of network structure on the solar hosting capacity, finding that significant structural changes are needed to cope with larger PV generation and increase hosting capacity. Voltage control measures, such as on-load tap changers and PV reactive power control, provide a competitive solution for hosting solar power in distribution networks. Additionally, the study suggests a possible need for changes in residential PV policies in Finland to sustain the adoption of PV plants.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Qiuyu Zhu, Xuewen Zu
Summary: This article proposes a Softmax-free loss function called POD Loss based on predefined optimal-distribution of latent features. The loss function improves classification accuracy by constraining the latent features of the samples, and experimental results show that it outperforms Softmax Loss and other related loss functions.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Jinlong Ma, Jiaxin Ma, Hui-Jia Li
Summary: This paper focuses on traffic capacity and load distribution, and proposes an improved routing strategy based on scale-free network, which can significantly improve traffic capacity and achieve more even load distribution.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Automation & Control Systems
Weiye Zheng, David J. Hill
Summary: In this article, a distributed method for real-time IEHS dispatch is proposed, ensuring feasibility and system security through techniques such as network reduction and feasibility cut generation.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Lipeng Zhu, David J. Hill
Summary: This paper proposes a networked time series shapelet learning approach for interpretable transient stability assessment (TSA). By introducing a network impedance-based adjacency matrix to characterize spatial networked correlations, and incorporating it as spatial constraints, the method learns critical sequential features, i.e., networked shapelets, from time series trajectories acquired from multiple buses. The obtained data-driven TSA model performs highly reliable and interpretable online TSA, as demonstrated by numerical test results on real-world power systems.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Computer Science, Information Systems
Lipeng Zhu, David J. Hill, Chao Lu
Summary: This article presents an intelligent data-driven approach for performing PMU data anomaly identification in IoT-enabled power grids. By utilizing the spatial-temporal correlations in PMU measurements, the proposed approach effectively identifies and labels abnormal data, leading to improved reliability and accuracy in power grid monitoring.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Lipeng Zhu, David J. Hill, Chao Lu
Summary: This paper proposes a semi-supervised ensemble learning framework for accelerating the computation process of stability knowledge base generation. By performing detailed simulations for a minority of cases and fast simulations for the majority ones, the total computation time is reduced. Two concise feature descriptors are introduced to extract transient features from multiplex system trajectories, and a series of semi-supervised support vector machines are trained to derive an enhanced SSEL model.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Automation & Control Systems
Lipeng Zhu, David J. Hill
Summary: This article proposes a novel data/model jointly driven framework to generate high-quality cases for power system DSA applications. By utilizing model-driven numerical simulations and CycleGAN learning, refined cases highly resembling actual historical ones can be produced. With the combination of LSTM-based semisupervised learning scheme, all refined cases can be reliably labeled to mitigate the small sample size and class-imbalance problems.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Hesamoddin Marzooghi, Mehdi Garmroodi, Gregor Verbic, Ahmad Shabir Ahmadyar, Ruidong Liu, David J. Hill
Summary: This study evaluates the system stability of future high-renewable energy grids using a novel framework that considers scenario evolution and sensitivity. Based on proposed future scenarios and sensitivities for the Australian grid, the impact of grid strength, level of prosumers, and utility storage on stability is studied. The results provide insights into the underlying stability issues of future grids.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Yue Song, David J. Hill, Tao Liu, Tianlun Chen
Summary: This paper develops a convexification method for the AC optimal power flow problem with flexible line impedances. The method improves the solution tractability and optimality by reformulating the problem as a semi-definite program using a circuit equivalent of the flexible-impedance line.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Tianlun Chen, Yue Song, David J. Hill, Albert Y. S. Lam
Summary: This paper proposes a chance constrained optimization model to estimate the flexibility area at a transmission-distribution interface and introduces power flow routers to facilitate the flexibility of the distribution system. Case studies show that power flow routers significantly enlarge the flexibility area, indicating that network flexibility is an important supplement to node power flexibility in transmission-distribution interaction.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Automation & Control Systems
Bin Liu, David J. Hill, Zhijie Sun
Summary: This paper investigates the input-to-state stability (ISS) of time-varying delayed systems (TVDS) in Halanay-type inequality forms. By introducing the concept of a uniform M-matrix, exponential ISS theorems are established for continuous-time, discrete-time, and zero-order TVDS. The convergence rates of exponential ISS, ISS gains, and their relationship are estimated. These ISS theorems are less conservative and extend the existing results on stability and ISS for Halanay-type inequalities. Furthermore, necessary conditions for ISS of TVDS in Halanay-type equality forms are given, and the necessary and sufficient conditions for ISS are derived for linear time-invariant delayed systems. Three examples are provided to illustrate the theoretical findings.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Engineering, Electrical & Electronic
Tianlun Chen, Yue Song, David J. Hill, Albert Y. S. Lam
Summary: This paper proposes a chance-constrained optimal power flow problem with power flow routers to regulate the voltage profile in microgrids. The proposed method uses partial linearization and an iterative algorithm to solve the subproblem in a convex form. Experimental results show that power flow routers significantly reduce the standard deviations of voltage magnitudes and mitigate voltage volatility, leading to a more economic and secure system operation.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Engineering, Electrical & Electronic
Tong Han, David J. Hill, Yue Song
Summary: This paper focuses on the issue of network connectedness (NC) in security-constrained optimal transmission switching problems. Two criteria are proposed to preserve NC within reasonable limits. Mathematical formulas for the NC criteria are derived by extending the electrical flow based NC constraints and associating them with the optimum of a linear program. The proposed approach is demonstrated to be effective through case studies on various networks and SCOTS models.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Tong Han, David J. Hill
Summary: This paper proposes a learning-based solution approach for optimal transmission switching (OTS) and distribution network reconfiguration (DNR) in power network transitions. The proposed approach utilizes a parameterized function designed with gated graph neural network and multilayer perceptrons, replacing the original hand-crafted and short-sighted evaluation function. A learning algorithm combining the double deep Q-network algorithm and multi-step learning is designed to learn the parameterized function without training labels. Numerical studies demonstrate the superiority of the learning-based heuristic algorithm in both solution optimality and computational efficiency.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Automation & Control Systems
Yue Song, David J. Hill, Tao Liu, Xinran Zhang
Summary: This article investigates the concept of the impasse surface in the differential-algebraic equation model of power systems. It establishes a necessary condition for a system trajectory hitting the impasse surface and identifies a class of static load parameters that prevent power systems from collapsing. The obtained results have important implications for early indicators of voltage collapse and inductive compensation in power networks.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Engineering, Electrical & Electronic
Tong Han, Yue Song, David J. J. Hill
Summary: This paper proposes a novel methodology to address the topology transition problem of transmission networks. The methodology utilizes various eligible control resources in transmission networks to cooperate with the optimization of line-switching sequence, aiming at achieving a bumpless topology transition regarding both static and dynamic performance. The effectiveness and superiority of the proposed methodology to achieve bumpless topology transition is demonstrated through numerical studies.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Tong Han, David J. Hill, Yue Song
Summary: Network topology has a significant impact on the operational performance of power systems. The problem of transitioning from an initial topology to the desired optimal topology requires study. To address this problem, the concept of optimal topology transition (OTT) is proposed, aiming to find the transition trajectory that optimizes transition performance and satisfies operational constraints. The OTT problem is further formulated as a mixed-integer program, and an efficient problem-specific solution algorithm is developed.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)