Article
Engineering, Electrical & Electronic
Bining Zhao, Alberto J. Lamadrid, Rick S. Blum, Shalinee Kishore
Summary: The article proposes a coordination scheme for the day-ahead schedule of natural gas and electricity systems, defines a new type of false data injection cyber-attack, and investigates the impacts of such attacks on the operation of both energy systems. The coordination mechanism consists of three nested optimization problems, with the natural gas system scheduling being modeled as a bi-level max-min optimization problem considering the attacks.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Energy & Fuels
Daranith Choeum, Dae-Hyun Choi
Summary: This paper presents a multilevel optimization-based strategy for smart meter hardening to mitigate the detrimental impact of cyber attacks on volt/VAR optimization. A trilevel defender-attacker-defender model is proposed to determine an optimal attack mitigation strategy, prioritizing essential smart meters to reduce the impact of VVO attacks. Simulation results show mean percentage errors for voltage deviation of the attack and defense, indicating the effectiveness of the proposed mitigation framework.
Article
Energy & Fuels
Yize Meng, Ruoran Chen, Keren Zhang, Tianhu Deng
Summary: Optimal operation of a compressor station is crucial for a company's total operating budget, but dealing with demand uncertainty is challenging. This study proposes a robust optimization framework to minimize power cost in a non-identical compressor natural gas compressor station, and introduces an accelerated method to improve decision feasibility and reduce worst-case cost.
Article
Thermodynamics
Cheng Wang, Ahmed Rabee Sayed, Han Zhang, Xian Zhang, Jianpeng Ren, Qiyue Jia, Tianshu Bi
Summary: This paper proposes a bi-level two stage distributionally robust electricity-gas market clearing (EG-MC) model considering energy uncertainties and strategic offering prices from energy producers. A novel triple-loop procedure is proposed to solve the formulated model.
Review
Green & Sustainable Science & Technology
Enrica Raheli, Qiuwei Wu, Menglin Zhang, Changyun Wen
Summary: The integration of different energy systems is a promising solution to accommodate the rising share of renewable energy sources. Optimal operation of integrated electrical-gas systems can lead to lower operating costs and higher utilization of renewables. Various solution approaches, including linearization and decentralized optimization schemes, are discussed to tackle the challenges of co-optimization.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Engineering, Electrical & Electronic
Min Zhou, Chensheng Liu, Amir Abiri Jahromi, Deepa Kundur, Jing Wu, Chengnian Long
Summary: This paper examines the impacts of coordinated cyber-physical attacks on the vulnerability of power systems with N-1 security criterion. Through a tri-level model and semidefinite programming technique, it is shown that such attacks can cause N-1-1 contingency and cascading failures.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Review
Energy & Fuels
Adarsh Kumar Arya
Summary: Pipelines are considered the most cost-effective and safe method for natural gas transportation, but require significant investment. This paper addresses the lack of review papers in pipeline optimization and provides a detailed overview of 14 optimization parameters and 6 optimization techniques. The findings aim to enhance understanding and implementation of optimization in the pipeline industry.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2022)
Article
Energy & Fuels
En-Bin Liu, Yong Peng, Shan-Bi Peng, Bin Yu, Qi-Kun Chen
Summary: This study proposes a low carbon and low consumption operation model for natural gas pipelines and achieves the reduction of carbon emissions through optimized scheduling. The case analysis results show that the carbon emissions of the pipeline system can be further reduced after introducing new energy, but the energy consumption increases.
Article
Automation & Control Systems
Abdullah M. Sawas, Hadi Khani, Hany E. Z. Farag
Summary: This article proposed a new model for the integration of power and gas systems using power-to-gas and gas-fired generation facilities, demonstrating the impact of cyber attacks on system operation. Two detection schemes were proposed to prevent false data injection attacks against the facility scheduler using supervised and unsupervised machine learning techniques.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Electrical & Electronic
Zhaoxi Liu, Lingfeng Wang
Summary: This article investigates the risks of cyber-physical attacks on power systems and proposes a network topology optimization-based approach to enhance system resilience. Case studies are conducted to demonstrate the effectiveness of the proposed method in mitigating coordinated attacks.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Energy & Fuels
Adarsh Kumar Arya
Summary: This paper discusses the use of ant colony optimization strategy to minimize the operating costs of a natural gas pipeline grid. The study constructs a multi-objective modeling framework based on data from a French gas pipeline network corporation, focusing on reducing fuel usage in compressors and increasing throughput at distribution centers. The approach aims to guide pipeline managers in selecting the most preferred solutions by providing the optimum solution for each fuel consumption level at each compressor through a Pareto front analysis.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Kang-Di Lu, Zheng-Guang Wu
Summary: This paper proposes a multi-objective stealthy false data injection attack scheme to improve the cyber-security of cyber-physical power systems. The attack model is described as a multi-objective optimization problem and a non-dominated sorting genetic algorithm II is introduced as the solver. A new representation mechanism is proposed to improve the efficiency of generating attack vector.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Energy & Fuels
Jie Liu, Qiang Guo, Jiayong Guo, Fan Wang
Summary: This study optimized the parameters of a diesel/natural gas dual fuel engine using a combination of genetic algorithm and 3D CFD engine combustion simulation. The results showed that diesel injection timing is postponed with increasing pilot diesel quantity, and specific energy consumption is achieved within certain fuel ratio and injection timing ranges. The open bowl geometry was preferred for dual fuel combustion, while compression ratios and EGR rates concentrated to optimal values and swirl ratios showed wider distribution. Temporal and spatial analysis indicated that higher diesel fuel ratio promoted methane oxidation, while lower EGR rate and higher diesel injection quantity also played a role in methane oxidation.
Article
Mathematics, Applied
Qingyu Su, Handong Wang, Chaowei Sun, Bo Li, Jian Li
Summary: This paper addresses the issue of cyber-attacks corrupting states of cyber-physical power systems, proposing a method for secure state estimation and attack reconstruction, and designing an effective attack defense strategy.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Economics
Shuaian Wang, Jingwen Qi, Gilbert Laporte
Summary: This paper investigates the determination of the appropriate subsidy amount for liquefied natural gas (LNG) in maritime transportation. A trilevel programming model is proposed, integrating decisions at the government, port, and ship levels to maximize the government's net profit of social benefits.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Engineering, Electrical & Electronic
Kwami Senam Afenefa Sedzro, Alberto J. Lamadrid, Luis F. Zuluaga
IEEE TRANSACTIONS ON POWER SYSTEMS
(2018)
Article
Engineering, Electrical & Electronic
Basel Alnajjab, Alberto J. Lamadrid, Lawrence V. Snyder, Shalinee Kishore, Rick S. Blum
IEEE TRANSACTIONS ON SMART GRID
(2019)
Article
Green & Sustainable Science & Technology
Alberto J. Lamadrid, Daniel Munoz-Alvarez, Carlos E. Murillo-Sanchez, Ray D. Zimmerman, Haeyong Shin, Robert J. Thomas
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2019)
Article
Green & Sustainable Science & Technology
Diana Mitsova, Monica Escaleras, Alka Sapat, Ann-Margaret Esnard, Alberto J. Lamadrid
Article
Engineering, Electrical & Electronic
Bining Zhao, Anatoly Zlotnik, Antonio J. Conejo, Ramteen Sioshansi, Aleksandr M. Rudkevich
IEEE TRANSACTIONS ON POWER SYSTEMS
(2019)
Article
Economics
Wooyoung Jeon, Alberto Lamadrid, Timothy D. Mount
Article
Engineering, Electrical & Electronic
Kwami Senam A. Sedzro, Xin Shi, Alberto J. Lamadrid, Luis F. Zuluaga
IEEE TRANSACTIONS ON SMART GRID
(2019)
Article
Engineering, Civil
Diana Mitsova, Alka Sapat, Ann-Margaret Esnard, Alberto J. Lamadrid
JOURNAL OF INFRASTRUCTURE SYSTEMS
(2020)
Article
Management
Tomas Tapia, Alvaro Lorca, Daniel Olivares, Matias Negrete-Pincetic, Alberto J. Lamadrid L
Summary: Wildfires pose a significant threat to the secure operation of power networks, especially in renewable energy systems. This paper proposes a decision-support approach to enhance the impact of wildfires on power supply, by simulating wildfires and using an attacker-defender model to evaluate the security of power systems, as well as to assess the wildfire resilience of different power system topologies.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Engineering, Civil
Diana Mitsova, Ann-Margaret Esnard, Alka Sapat, Alberto Lamadrid, Monica Escaleras, Catherine Velarde-Perez
Summary: The study analyzed the impact of infrastructure disruptions on household, urban, and community recovery through a four-level hierarchical structure, identifying significant predictors such as severity of damage, number of days without electricity, and access to health services. The findings highlight the importance of regional and urban/rural factors in household recovery, supporting the need for further interdisciplinary studies to reduce vulnerability to power outage-related disruptions.
NATURAL HAZARDS REVIEW
(2021)
Article
Engineering, Electrical & Electronic
Bining Zhao, Alberto J. Lamadrid, Rick S. Blum, Shalinee Kishore
Summary: The article proposes a coordination scheme for the day-ahead schedule of natural gas and electricity systems, defines a new type of false data injection cyber-attack, and investigates the impacts of such attacks on the operation of both energy systems. The coordination mechanism consists of three nested optimization problems, with the natural gas system scheduling being modeled as a bi-level max-min optimization problem considering the attacks.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Bining Zhao, Jesse Bukenberger, Mort Webster
Summary: A multi-stage and multi-scale stochastic generation expansion planning (GEP) model is proposed to represent uncertainties in load and renewable generation. The study finds that scenario partitioning methods are more effective in determining appropriate investment levels, while covariance-based approximations perform the best overall.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Economics
Xiaolong Kuang, Alberto J. Lamadrid, Luis F. Zuluaga
Article
Engineering, Electrical & Electronic
Ehsan Rahmkhoda, Jawad Faiz, Moein Abedini
Summary: This paper investigates the failures and errors of loss-of-excitation (LOE) protection and proposes an intelligent method combined with a learning vector quantization (LVQ) neural network. The simulation results demonstrate that the proposed algorithm can detect LOE conditions quickly and prevent stresses applied to the machine and power system.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Andre M. Garcia, Leonardo H. Macedo, Ruben Romero
Summary: This article presents a specialized scatter search algorithm to solve the optimal transmission switching problem considering voltage control, and its efficiency is validated through tests.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Adel F. Alrasheedi, Khalid A. Alnowibet, Ahmad M. Alshamrani
Summary: This paper studies the bidding strategy problem of microgrid in a day-ahead electricity market. The DA electricity prices, demand, and uncertainties are modeled using different scenarios and robust optimization. A smart predict-and-optimize methodology is proposed, where a cost-oriented prediction model is used to replace accuracy-oriented methods. The trilevel mathematical programming approach is utilized to construct a cost-oriented model and solve the problem.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Depin Lv, Qiusheng Yu, Xiaoyong Wang, Yulian Bo, Yongjing Wei, Lei Liu, Pu Zhang, Yan Zhang, Wensheng Zhang
Summary: This study proposes a method based on the MHA-CNN framework to monitor the operation status of the smart grid and power communication network coupling. The method utilizes HHT to extract features from operational data and employs MHA to extract key feature information from fault data, achieving faster fault detection speed and higher detection probability.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Tao Zhang, Zhiguo Hao, Hongyue Ma, Songhao Yang, Chongtao Li
Summary: This paper introduces a dominant mode identification (DMI) method to assess the stability of grey-box grid-tied converters. The method analyzes the critical eigenvalues and can be applied to different grid connection scenarios.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Aamir Nawaz, Hongtao Wang, Huiting Yang, Hammad Armghan, Jiechao Gao
Summary: This paper presents a risk constrained probabilistic problem framework for addressing the challenges of stochastic dispatching due to contingencies and the integration of renewable sources. By utilizing probabilistic analytical target cascading, polynomial chaos expansion, and benders decomposition algorithm, the proposed method reduces computational burden and improves efficiency.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Thongchart Kerdphol, Issarachai Ngamroo, Tossaporn Surinkaew
Summary: This paper introduces an enhanced robust H-infinity technique to improve the regulation performance and cyber resiliency of secondary frequency control in a microgrid. The study shows that cyber-attacks affect different elements of secondary frequency control in the microgrid depending on the type of attack used.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Sambeet Mishra, Praveen Prakash Singh, Ivar Kiitam, Muhammad Shafiq, Ivo Palu, Chiara Bordin
Summary: This study aims to analyze partial discharge events in high-voltage cables and extract patterns and trends. The results indicate a positive correlation between the number of PD events and the increase in voltage levels, with negative PD peaks being more frequent at lower stress levels.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Cleberton Reiz, Jonatas B. Leite, Clara S. Gouveia, Mohammad Sadegh Javadi
Summary: This research proposes a bilevel method to simultaneously solve the allocation and coordination problems in microgrid protection, considering local devices. The results show that solving these problems simultaneously can save costs and select the optimal solution.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Rasha Elazab, M. Ser-Alkhatm, Maged A. Abu Adma, K. M. Abdel-Latif
Summary: This paper proposes a two-layer methodology for the allocation and sizing of SVCs in radial distribution systems. The Power Loss Index (PLI) is used to choose the best candidate buses for allocating SVCs, and a two-stage stochastic programming algorithm is proposed to solve the sizing problem. The advantages of combining SVCs and the PV inverter's reactive power provision ability are also analyzed.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Samreen Javaid, Dongyu Li, Abhisek Ukil
Summary: This paper introduces a new algorithm based on high pass filter for traveling wave fault location, which can differentiate the peak value of the traveling wave more easily by removing oscillation in the signal. The algorithm is tested on a DC simulation model and executed in MATLAB environment, achieving high accuracy in fault location results. Compared with traditional methods, this algorithm shows higher accuracy and faster response.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Enzhe Wang, Xiangrong Chen, Hanshan Zhu, Kai Yin, Muhammad Awais, Ashish Paramane
Summary: This paper aims to reduce the power loss of tunnel cable systems by using different grounding and loss reduction methods. The case study of the submarine tunnel power cable project in Ningbo-Zhoushan, China is considered. The nodal admittance matrices of the cable are established using the telegraph equation, and the cascading algorithm is used to analyze the induced voltage and circulating current in the cable sheath, taking into account the presence of grounding node. The study finds that coordinating the amplitude and phase angle of series impedance can reduce the power loss of the cable system.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Ziwei Ma, Jasronita Jasni, Mohd Zainal Abidin Ab Kadir, Norhafiz Azis
Summary: A numerical model was developed to analyze lightning attachment on UHV-AC double-circuit transmission lines. Simulation results showed that upward leaders simultaneously occurred on the ground wire and the upper-phase conductor when the phase conductors were energized. A new expression for calculating the striking distance on the ground wire was proposed based on the simulation results. Additionally, high voltage, phase angle, and terrain slope were found to increase the surface electric field of the upper-phase conductor.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Kunal Kumar, Susmita Kar
Summary: This paper presents an efficient protection scheme utilizing the rate of change parameter to detect both shunt faults and high impedance faults. By comparing with the existing scheme and testing on the IEEE 13 Bus test system, the effectiveness of the proposed scheme is demonstrated.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Engineering, Electrical & Electronic
Cheng Che, Bangbang He, Zhixuan Gao, Qiwei Lu, Yang Chen, Zhifeng Wang, Jinghan Guo, Yanwen Wang
Summary: A low-cost hybrid railway power conditioner (HRPC) technology scheme is proposed in this paper to effectively compensate negative sequence current (NSC) of the V/v traction system and reduce the capacity and cost of the railway power conditioner (RPC). The proposed HRPC combines an RPC with a modular multilevel converter structure (MMC-RPC) and a railway static var compensator (RSVC) and considers regenerative braking energy in the compensation process.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
