Article
Green & Sustainable Science & Technology
Sanaz Moghim
Summary: Evaluation of wind energy potential in different climates involves high uncertainties. This study uses reliability analysis to determine failure or success of wind power density based on a limit state function in a probabilistic framework. The results show the probability of success in exceeding average WPD values in specific regions, with a focus on locations with stronger wind speeds.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Engineering, Electrical & Electronic
Unal Kurt, Okan Ozgonenel, Birsen Boylu Ayvaz
Summary: This study compares the Monte Carlo simulation with Latin Hypercube sampling method and Unscented transformation methods in power systems. The results show that the Unscented transformation method is faster and more reliable than the other two methods.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Bin Li, Muhammad Shahzad, Hafiz Mudassir Munir, Asif Nawaz, Nabeel Abdelhadi Mohamed Fahal, Muhammad Yousaf Ali Khan, Sheeraz Ahmed
Summary: This paper integrates Copula theory with Improved Latin-hypercube Sampling (ILHS) for Probabilistic load Flow (PLF) evaluation to handle the uncertainty brought by distribution generation to the power system network, improving the efficiency of control and planning for the power system.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Yong Pang, Liangliang Yang, Yitang Wang, Xiaonan Lai, Wei Sun, Xueguan Song
Summary: This research addresses the limitations of Latin hypercube design in constrained design space by developing Latin hypervolume designs with good space-filling and noncollapsing properties. Monte Carlo sampling is introduced to approximate the hypervolume in high-dimensional and irregular design spaces. The experiments demonstrate that the proposed method is considerably better compared to other methods in benchmark numerical examples and engineering modeling scenarios.
ENGINEERING WITH COMPUTERS
(2023)
Article
Engineering, Civil
Huy-Khanh Dang, Duc-Kien Thai, Seung-Eock Kim
Summary: This paper proposes a stochastic analysis model that combines the refined plastic-hinge analysis method with the Monte Carlo simulation to predict the realistic resistance of steel structures. The model treats the uncertainty quantifications of the material properties, geometry, and semi-rigid connections as independent random variables in the discretized stochastic fields using Latin hypercube sampling. The study finds that the uncertainties in material properties are the most sensitive, and the correlation of these parameters with the strength of structures is also significant. To improve the load and resistance factor design criterion, a resistance factor of 0.93 is suggested for the beam-columns in the frames under axial force, torsion, and biaxial bending moments. A stochastic response spectrum is proposed to define the boundary of strength, where a clearly defined plastic mechanism is attained. Furthermore, this study provides valuable insights into the stochastic resistance of steel frames, which are essential for practical engineering applications.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Mohsen Masoomzadeh, Mohammad Charkhtab Basim, Mohammad Reza Chenaghlou, Hesam Khajehsaeid
Summary: The hysteric behavior of shear links in Eccentric Braced Frames (EBFs) and the uncertainties in their behavioral parameters have been studied in this research. The study investigates the variations in structural responses due to these uncertainties and proposes a practical method using artificial neural networks (ANNs) to predict the responses with lower computational effort. The results show that the web thickness and yielding strength of shear links have significant effects on seismic structural responses.
Article
Computer Science, Interdisciplinary Applications
Minh-Chien Trinh, Hyungmin Jun
Summary: This study thoroughly examines the deterministic and stochastic bending and buckling characteristics of antisymmetric cross-ply and angle-ply laminated composite plates, and presents two stochastic sampling methods. The probability distribution functions provide good assessments for the effects of uncertainty on the bending and buckling behaviors of the laminated composites.
ENGINEERING WITH COMPUTERS
(2023)
Article
Green & Sustainable Science & Technology
Vikas Singh, Tukaram Moger, Debashisha Jena
Summary: This paper proposes an analytical probabilistic load flow (PLF) approach that considers conventional generator outages, load variability, and random branch outages. The proposed PLF performs contingency sequencing with fuzzy logic to eliminate random line checking and avoid masking mistakes faced by performance index-based algorithms. Results of equivalent systems of the Indian southern and western power grids are analyzed and validated with those obtained using the Monte Carlo simulation method, demonstrating the accuracy and low computational burden of the suggested method.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Statistics & Probability
Michael Gnewuch, Nils Hebbinghaus
Summary: In this paper, a new class of gamma-negatively dependent random samples is introduced, and probabilistic upper bounds for star discrepancies are provided. These bounds are optimal for Monte Carlo and Latin hypercube samples.
ANNALS OF APPLIED PROBABILITY
(2021)
Article
Thermodynamics
J. Jithendranath, Debapriya Das, Josep M. Guerrero
Summary: This paper focuses on addressing uncertainties in microgrids using PEM and Nataf Transformation, to solve the POPF problem with renewable energy sources. The proposed approach is tested and verified for its accuracy and reliability, showing potential for suitable replacement of Monte Carlo Simulation.
Article
Physics, Applied
Jan Kaiser, Supriyo Datta
Summary: The article discusses a probabilistic computer based on p-bits that can accelerate randomized algorithms used in various applications, such as Bayesian networks, optimization, Ising models, and quantum Monte Carlo. A generic architecture for p-computers and simulations with thousands of p-bits are proposed to demonstrate their potential for significant speedup.
APPLIED PHYSICS LETTERS
(2021)
Article
Engineering, Mechanical
Fernando Valentini, Olavo M. Silva, Andre Jacomel Torii, Eduardo Lenz Cardoso
Summary: This work proposes a new forward uncertainty method for evaluating the expected value, the variance and their sensitivities. The method is evaluated for different numbers of uncertain variables in a highly nonlinear problem, and compared against baseline methods. The results show that the proposed method provides accurate estimates.
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Attoti Bharath Krishna, Abhijit R. Abhyankar
Summary: Probabilistic power system analysis tools like PPF are beneficial in dealing with uncertainties for system operators. However, existing QMC methods have limitations in terms of accuracy, convergence rate, and quality measurement. In this study, a nonparametric QMC framework with UD sampling and MD quality measure is proposed to solve PPF efficiently and accurately. The proposed method reduces computational burden and provides accurate results for PPF with non-Gaussian and dependent uncertainties.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Operations Research & Management Science
Jangho Park, Rebecca Stockbridge, Guzin Bayraksan
Summary: This paper investigates the variance reduction techniques Antithetic Variates (AV) and Latin Hypercube Sampling (LHS) when used for sequential sampling in stochastic programming and presents a comparative computational study. The results show that LHS typically dominates in the non-sequential setting while performing well sequentially and AV gains some advantages in the sequential setting. These findings suggest that AV and LHS sequential procedures can be attractive alternatives for a class of stochastic programs due to their ease of implementation and improved empirical performance compared to random sampling.
ANNALS OF OPERATIONS RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Xiaochen Chou, Luca Maria Gambardella, Roberto Montemanni
Summary: The Orienteering Problem involves selecting a subset of customers to visit within a time budget to maximize revenue. The Probabilistic Orienteering Problem introduces randomness by considering customer visits based on probabilities, making it more challenging. Tabu Search, a method for escaping local optima, is utilized in this study to solve the problem using a Monte Carlo evaluator.
COMPUTERS & OPERATIONS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Yifan Zhao, Wei Yao, Chuan-Ke Zhang, Xing-Chen Shangguan, Lin Jiang, Jinyu Wen
Summary: This paper introduces a new index, resilience margin, to quantify the strongest cyber attack that a power system with WADC can tolerate, and presents a practical calculation algorithm. The simulation results demonstrate the effectiveness of the calculation algorithm and the significance of resilience margin in the design of WADCs.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Energy & Fuels
Qin Wang, Lingling Le, Dahu Li, Xiaomeng Ai, Jiakun Fang, Wei Yao, Jinyu Wen
Summary: This study presents a static modeling method for distributed PV plants based on DCO to study their long-term energy generation characteristics and evaluate economic benefits. Control strategies for PV-DCO generation units are proposed to maximize energy generation under mismatch conditions caused by panel aging, geographic locations, and partial shading. The study compares different PV plant configurations and introduces LCOE for economic evaluation.
FRONTIERS IN ENERGY RESEARCH
(2022)
Review
Engineering, Electrical & Electronic
Hongyu Zhou, Wei Yao, Xiaomeng Ai, Dahu Li, Jinyu Wen, Chenghao Li
Summary: This paper provides a systematic overview of commutation failures (CFs) in high voltage direct current (HVDC) systems, covering various aspects such as system structures, CF types, and prevention methods. It also identifies future challenges and research directions for HVDC CFs.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Wei Gan, Mingyu Yan, Wei Yao, Jianbo Guo, Jiakun Fang, Xiaomeng Ai, Jinyu Wen
Summary: This article proposes a hydrogen supply infrastructure planning model for the integration of hydrogen vehicles and renewable energy, aiming to improve operational flexibility and investment economy. By considering the synergistic effect of hydrogen, electricity, and transportation networks, the model achieves better results. It also addresses the variability of renewable energy and traffic loads through linearization techniques and Benders decomposition algorithm.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Xizhen Xue, Xiaomeng Ai, Jiakun Fang, Shichang Cui, Yazhou Jiang, Wei Yao, Zhe Chen, Jinyu Wen
Summary: This paper proposes a real-time schedule model for maximizing battery energy storage utilization. By linearizing the battery life model, the battery life loss can be evaluated in real-time, and a cost-effective schedule model is proposed to maximize the utilization of battery energy storage while ensuring its sufficient lifespan. Additionally, an approximate dynamic programming algorithm is introduced to optimize the system under stochastic environments, and a new value function approximation method is developed to improve the algorithm's optimality and applicability.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2022)
Article
Engineering, Electrical & Electronic
Qin Wang, Jiakun Fang, Wei Yao, Dahu Li, Xiaomeng Ai, Jinyu Wen
Summary: This paper proposes a decentralized control (DBDC) scheme based on unit level DC optimizers (DCO) for large-scale PV power plants (LPVPP) to provide active frequency support. The scheme uses improved virtual inertia control and droop control in the DCO controller of each PV generation unit to achieve adaptive power adjustment and maximize the use of PV reserve power without the need for a communication network.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Xizhen Xue, Jiakun Fang, Xiaomeng Ai, Shichang Cui, Mengyao Xu, Wei Yao, Jinyu Wen
Summary: This paper proposes a real-time joint regulating reserve deployment model of electric vehicles and coal-fired generators, considering EV battery degradation. The model integrates the fast regulation speed of EVs and the large regulation capacity of CGs. The authors formulate the optimization model under a two-stage Markov Decision Process to correspond to the real-time RRD process. They also consider user behavior characteristics and EV battery degradation to stimulate user participation in RRD. The proposed algorithm provides an approximate optimal real-time RRD policy with empirical knowledge embedded through off-line training.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Ying Huang, Xiaomeng Ai, Jiakun Fang, Shichang Cui, Runfeng Zhong, Wei Yao, Jinyu Wen
Summary: This paper proposes a generalized power flow model based on holomorphic embedding, which converts the nonlinear power flow problem into an embedded system. The model comprehensively considers the characteristics of islanded hybrid microgrids and has advantages of efficient solving, wide applicability, and convenient operation.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Yujun Lin, Xing Li, Baoyu Zhai, Qiufan Yang, Jianyu Zhou, Xia Chen, Jinyu Wen
Summary: This paper proposes a two-layer frequency control framework for large-scale distributed energy storages (ESs). It achieves frequency regulation through distributed model predictive control (DMPC) on the upper layer and maintains state-of-charge (SoC) balance within each cluster through leader-follower consensus algorithm on the lower layer. The control scheme is validated to be effective through simulations.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Bo Zhou, Jiakun Fang, Xiaomeng Ai, Shichang Cui, Wei Yao, Zhe Chen, Jinyu Wen
Summary: This paper proposes a novel storage right-based hybrid discrete-time and continuous-time (HT) flexibility trading between energy storage station (ESS) and renewable power plants (RPP). The proposed method allows ESS to sell flexibility for profits and RPPs to buy flexibility to hedge power supply shortage risks. Case studies validate the effectiveness of the proposed method in achieving higher profits for ESS and lower power supply shortage risks for RPPs.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Energy & Fuels
Mingyu Yan, Fei Teng, Wei Gan, Wei Yao, Jinyu Wen
Summary: This paper proposes a secure fully decentralized energy management method using blockchain. It introduces a fully decentralized energy management framework using optimality condition decomposition (OCD) to exchange boundary information among energy system operators. An asynchronous mechanism is also proposed to handle potential communication latency or interruption. The framework further incorporates state machine replication (SMR) based consensus algorithm for secure and tamper-proof information exchange. Numerical results demonstrate the effectiveness of the proposed method in enhancing privacy protection, preventing cost increase from cheating activities, and reducing computation time.
Article
Computer Science, Information Systems
Lingkang Zeng, Wei Yao, Hang Shuai, Yue Zhou, Xiaomeng Ai, Jinyu Wen
Summary: This article proposes a DDQN-based resilience assessment method for power systems under sequential attacks, which identifies the least sequential attacks causing the ultimate collapse of the power system. It introduces a novel resilience index to reflect the power system's capability to deliver power under sequential attacks. An improved prioritized experience replay technique is developed to accelerate the convergence rate of the DDQN agent's training process. Simulation results demonstrate the effectiveness of the proposed method.
IEEE SYSTEMS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Siqi Lin, Wei Yao, Yongxin Xiong, Yifan Zhao, Zhongtuo Shi, Xiaomeng Ai, Jinyu Wen
Summary: This paper introduces an open-access Matlab/Simulink-based power system simulation toolbox (MatPSST) for research and education. MatPSST utilizes Simulink for dynamic modeling and Matlab for the initialization process, enabling users to fully utilize the rich solvers and built-in toolboxes without additional programming. It also facilitates the interaction with real-time platforms and provides a flexible framework for user-defined functions.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2023)
Editorial Material
Engineering, Industrial
Wang Xiang, Peiyu Meng, Jinyu Wen
FRONTIERS OF ENGINEERING MANAGEMENT
(2023)
Article
Engineering, Electrical & Electronic
Siqi Lin, Wei Yao, Yifan Zhao, Zhongtuo Shi, Li Peng, Yu Cheng, Xiaomeng Ai, Jinyu Wen
Summary: This paper presents a vector-variable based method for dynamic modeling of large-scale wind farms considering collector system dynamics. The method converts the complex wind farm into two typical submodules, the wind generator module and the collector system module, with good scalability. The established model is validated to be correct and efficient through electromagnetic modeling. The results of a detailed wind farm with 25 wind generators show that the established model accurately reflects the wind farm stability and reveals the relative error caused by neglecting the collector system dynamics.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
