Article
Energy & Fuels
Haiwang Zhong, Guanglun Zhang, Zhenfei Tan, Guangchun Ruan, Xuan Wang
Summary: The study proposes a hierarchical collaborative expansion planning framework for transmission and distribution networks to efficiently allocate the transmission cost and reduce the complexity of the model. Case studies demonstrate that considering transmission cost allocation during collaborative expansion planning can decrease total planning and operating costs.
Article
Engineering, Electrical & Electronic
Juan J. Cuenca, Emad Jamil, Barry P. Hayes
Summary: This paper investigates the economic implications of high penetrations of distributed energy resources (DER) in future distribution networks and proposes a scalable scheme for the assignment of network charges based on individual participant nodes' revenue. Validation is done through a techno-economic simulation utilizing different scenarios and DER allocation methods. Results show significant reductions in network charges, particularly for nodes with higher PV generation and self-consumption rates, and increased income for suppliers with the use of dynamic tariffs.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Energy & Fuels
Tingjun Li, Xiaoqing Han, Wenchuan Wu, Hongbin Sun
Summary: This paper presents a resiliency-oriented expansion planning and hardening model for MMDN. The model is formulated as a min-max-min optimization problem and includes investment and operation levels. Novel techniques such as cuts generation and accelerating strategies are developed to improve the effectiveness of existing algorithms. Numerical tests confirm the effectiveness of the proposed model.
Article
Engineering, Electrical & Electronic
Amirhossein Nasri, Amir Abdollahi, Masoud Rashidinejad
Summary: This paper presents a resilient distribution network expansion planning framework through six steps, including network topology development, vulnerability identification, resilient planning, resilient operation, recovery evaluation, and problem optimization. Numerical simulations demonstrate the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Nazanin Morshedlou, Kash Barker, Andres D. Gonzalez, Alireza Ermagun
Summary: This study proposes efficient solution methods for solving interdependent restoration planning and crew routing problems, using mathematical models and heuristic algorithms. The computational results from case studies show that the heuristic algorithm can obtain optimal or near-optimal solutions, especially for large scale problems.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Civil
Sayan Sen Sarma, Koushik Sinha, Chayanon Sub-r-pa, Goutam Chakraborty, Bhabani P. Sinha
Summary: This study focuses on optimizing traffic distribution during disasters to reduce travel time to evacuation centers. Various algorithms were proposed and simulations showed superior results compared to existing methods.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Review
Environmental Sciences
Christine M. Albano, Maureen I. McCarthy, Michael D. Dettinger, Stephanie A. McAfee
Summary: This review provides guidance on constructing customized climate scenarios for stress tests to assess specific adaptation actions or strategies. By synthesizing data sources and analytical techniques, the gap in existing guidance on customized climate scenarios is addressed. The ultimate goal is to provide the foundation for scientist-stakeholder teams to create their own stress test scenarios.
Article
Computer Science, Information Systems
Masoumeh Karimi, Sajad Najafi Ravadanegh, Mahmoud-Reza Haghifam
Summary: This paper introduces a new resilience index to enhance the resilience of distribution systems against extreme hurricane events. The study compares optimal feeder routing problems and high-voltage substation placements from the perspectives of cost and resilience. Results suggest that higher investments may be needed when considering worst-case scenarios due to the higher fragility index.
INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION
(2021)
Article
Engineering, Electrical & Electronic
Gowtham Kandaperumal, Shikhar Pandey, Anurag Srivastava
Summary: With the increase in catastrophic weather events, electric utilities are faced with challenges in dealing with disruptions in energy supply. This paper presents a multi-stage resilience measure called AWR metrics to evaluate the resilience of the system before, during, and after extreme events.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Review
Green & Sustainable Science & Technology
Dillip Kumar Mishra, Mojtaba Jabbari Ghadi, Ali Azizivahed, Li Li, Jiangfeng Zhang
Summary: The world has been experiencing a series of natural disasters and man-made attacks, which have directly impacted electricity infrastructures and caused immense economic loss. To cope with high-impact, low-possibility events, a resilient infrastructure must be constructed. Recent research has focused on achieving resilience in the active distribution system, incorporating technologies such as micro and smart grids to enhance resilience before, during, and after extreme events.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Engineering, Electrical & Electronic
Fernando Postigo Marcos, Carlos Mateo Domingo, Tomas Gomez San Roman
Summary: In recent years, the significance of a resilient power distribution system that can maximize energy supply in stressful situations has been highlighted due to natural disasters and deliberate attacks on the power system. This paper proposes a single-stage multi-criteria optimization model to enhance the resilience of a distribution system by making investments that minimize total cost. Investments include remotely controlled switches (RCSs), distributed energy resources (DERs), and undergrounding overhead lines. The optimization method is based on a customized genetic algorithm. By simulating an actual distribution network under extreme weather conditions, the study demonstrates the prioritization of investment types and the importance of managerial and logistic training in distribution companies.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Reza Saberi, Hamid Falaghi, Mostafa Esmaeeli, Maryam Ramezani, Ali Ashoornezhad, Reza Izadpanah
Summary: High-impact, low-probability events seriously threaten the health of distribution networks, and modification in planning approaches and focusing on resilience are necessary. A model is introduced to evaluate the distribution network resilience in the presence of distributed generation sources, and a multi-objective optimization problem is formulated to improve resilience and optimize costs. The proposed model is implemented on the IEEE 54-bus sample network, showing that network resilience can be improved with minimum cost by optimal network planning.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2023)
Article
Energy & Fuels
Donghai Chen, Zhenhua Cai, Hangjie Wu, Chuangxin Guo
Summary: In recent years, extreme meteorological disasters have been occurring frequently worldwide, causing significant impacts and losses to distribution networks. To address these low-probability and high-loss events, it is crucial to establish resilient distribution networks that can prevent extreme disasters and swiftly recover critical loads. This paper primarily focuses on studying the influence of typhoon disasters on distribution networks and summarizes the research findings on resilient distribution networks in typhoon models, pre-disaster warnings, disaster resistance and absorption, post-disaster recovery, resilience evaluation, and resilience improvement.
Article
Engineering, Multidisciplinary
Arnab Pal, Aniruddha Bhattacharya, Ajoy Kumar Chakraborty
Summary: This paper proposes a solution for planning electric vehicle charging stations, including location and capacity decision making, as well as distribution network expansion strategies. The solution takes into account user convenience, happiness, and distribution network energy loss factors. The appropriate charging station and route are determined based on minimum energy consumption, considering traffic congestion. The solution also includes upgrades to the distribution network, addition of new charging stations, allocation of DSTATCOM, and allocation of renewable-based distributed generation. Uncertainties are addressed using the 2m point estimation method, and the solution is validated using different metaheuristic methods and integer linear programming.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Peyman Amirpour Giglou, Mohammad-Reza Jannati-Oskuee, Hadi Fateh, Sajad Najafi-Ravadanegh
Summary: Power supply security is vital for the development of smart distribution networks. This study proposes a method for designing cyber-secure SDNs, considering the communication system's vulnerability to cyber-attacks. It utilizes a dynamic model of tri-level cyber-secure expansion planning program and incorporates multiple switch devices, distributed generations, and demand response in the SDN design. Computer simulation is used to evaluate the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Freddy Cardenas, Jairo Otanez, Juan Inga, Esteban Inga, Andres Ortega
Summary: This paper describes the implementation of D-BLAST spatial multiplexing technique on Software Defined Radio (SDR) equipment. By using USRP Ettus Research x310 devices, the problem of spatial diversity in MIMO Alamouti scheme is addressed and the interference effects due to increase in transmitter antennas are mitigated through nonlinearity of matrix equations and redundancy of information. The experimental results show that the technique achieves gains of around 10dB and 7dB in MIMO 2x2 and MIMO 3x2 scenarios, respectively.
INGENIUS-REVISTA DE CIENCIA Y TECNOLOGIA
(2022)
Article
Green & Sustainable Science & Technology
Jefferson Moran, Esteban Inga
Summary: This study proposes a vehicle traffic simulation process to identify the location and quantity of electric vehicle charging centers based on the vehicular flow, aiming to ensure convenient charging facilities and improve the usability and range of electric vehicles.
Article
Computer Science, Information Systems
Luis Machado, Esteban Inga
Summary: This paper presents an algorithm to optimize the deployment of hubs for smart energy metering based on the Internet of Things. The algorithm finds the minimum spanning tree between devices and limits the maximum connection distance and hub capacity. It aims to provide a scalable algorithm applicable to any georeferenced scenario and generates scenario route maps.
Article
Chemistry, Analytical
Luis Amaya, Esteban Inga
Summary: This study proposes a method to locate harmonic frequencies that distort the fundamental voltage and current waves in electrical systems using the compressed sensing technique. The compressed sensing algorithm revolutionizes data compression by taking a few random samples and transforming the signal from the time domain to the frequency domain in a compressed form. The reconstructed signal accurately detects the harmonic distortions in the electrical network. The results obtained with compressed sensing are compared with a power quality analyzer, and the analysis shows that compressed sensing performs well in harmonic detection.
Article
Computer Science, Information Systems
Hector Lara, Esteban Inga
Summary: This study introduces a heuristic model for optimizing the route or layout of a subway electrical distribution network, determining the location of transformer substations and reducing material costs by connecting each transformer to a minimum spanning tree. By considering various powers of multi-transformer transformers, the study aims to minimize the number of transformers needed while maintaining efficient power supply. Experimental results showed that the system did not exceed the allowed limit in urban areas of 3.5%.
Article
Multidisciplinary Sciences
Juan Garcia, Esteban Inga
Summary: This paper proposes a georeferenced optimal planning model for deploying an underground network in rural areas to increase electrification. The model uses a heuristic process to minimize the resources required for routing the grid within a specified time horizon. It is scalable based on population density, established and georeferenced zones, and the specified period, adjusting to different variables. The modeling is done in CYME software, considering technical criteria to provide a verifiable planning model. The results consider voltage drop and overload levels in transformers and feeders to deliver optimal power quality to end-users, serving as an alternative to minimize resources in underground deployment for electric distribution companies.
Article
Engineering, Multidisciplinary
M. Campana, P. Masache, E. Inga, D. Carrion
Summary: This article analyzes the negative impact of introducing a type of flexible alternating current transmission system (FACTS) device on voltage stability, reliability, and power supply quality in electrical power systems (EPS). It further examines the impact of a specific FACTS device, Static Synchronous Compensator (STATCOM), on reactive power compensation in the EPS and proposes a methodology to determine its capacity and optimal installation location. The positive effects of installing a Power System Stabilizer (PSS) control for voltage stability in the EPS are also investigated. The article utilizes the IEEE 14-bus base system and applies two mathematical models for power flow calculation in MATLAB software.
INGENIUS-REVISTA DE CIENCIA Y TECNOLOGIA
(2023)
Article
Education & Educational Research
Abdon Ramirez, Esteban Inga
Summary: This research aims to identify teaching-learning mechanisms that promote innovation and educational progress for youth and adult basic education, particularly in rural areas with technological limitations and limited internet access. The study found that using an inverted classroom with no face-to-face interaction and implementing information and communication technology can improve the education level for young people and adults in rural areas.
EDUCATION SCIENCES
(2022)
Article
Energy & Fuels
Wilson Pavon, Esteban Inga, Silvio Simani, Matthew Armstrong
Summary: This research proposes an optimal control approach for a smart grid electrical system with photovoltaic generation, aiming to improve performance by balancing error minimization and operational cost. By incorporating advancements in heuristics and hierarchical control strategies, the proposed control scheme provides an efficient and effective solution for smart grid electrical system control. Implementing this optimal control scheme is expected to bring significant benefits such as reduced impact of renewable energy sources, improved stability, reliability, and efficiency of the power grid, and enhanced overall performance.
Article
Chemistry, Analytical
Esteban Inga, Juan Inga, Roberto Hincapie
Summary: This paper proposes a novel algorithm for assigning paired channels for intelligent metering through wireless connectivity in cellular networks. The algorithm optimizes dynamic channel assignment by exploiting white holes in the cognitive radio spectrum and considering the coexistence of different uplink channels, resulting in improved efficiency and reliability for smart metering.
Article
Green & Sustainable Science & Technology
Paul Garzon, Esteban Inga
Summary: This article discusses how to enhance school assignment research with digital tools by incorporating online and face-to-face interactions and promoting the use and development of information and communication technologies (ICT). The study uses a mixed method approach, including qualitative and quantitative techniques, to analyze related documents. The article explains the conceptual and theoretical framework, methodological criteria, and interdisciplinary approach that align with the profile of the investigated group. The practical application of the proposed methodology demonstrates its effectiveness in achieving a higher level of understanding, competence, and behavior, affirming the importance of education as a foundation for social development, including ICT.
Article
Engineering, Electrical & Electronic
Miguel Campana, Esteban Inga
Summary: The introduction of electric vehicles as an alternative mobility solution requires the deployment of an infrastructure of charging stations. This new concept will help mitigate the environmental impact caused by CO2 emissions from conventional vehicles. The sustainability of the charging station infrastructure depends on meeting the demand for electric vehicle charging and having an adequate number of public and private charging stations distributed in a geolocalized area.
WORLD ELECTRIC VEHICLE JOURNAL
(2023)
Article
Education & Educational Research
Jessica Rivadeneira, Esteban Inga
Summary: This article discusses the applicability of peer instruction (PI) as an interactive teaching method to enhance student participation and motivation in the teaching-learning process. The results indicate that PI has a positive effect in promoting student reflection and discussion, leading to greater satisfaction, motivation, interest, understanding, and participation for both teachers and students.
EDUCATION SCIENCES
(2023)
Article
Energy & Fuels
Miguel Campana, Esteban Inga
Summary: The conventional vehicle fleet worldwide has caused air quality degradation, leading to a shift to electric vehicles (EVs). However, the deployment of electric vehicle charging station infrastructures (EVCSI) is essential for the development of electric mobility. This paper addresses the problem by analyzing heterogeneous vehicular flow, finding solutions to the transportation problem, and determining the optimal number of terminals and charging times. The proposed EVCSI is validated using the CymDist software. The computational complexity of the model is NP-hard due to multiple variables and constraints.
Article
Education & Educational Research
Andrea Cueva, Esteban Inga
Summary: Technology development has improved the training of teachers in educational and technological tools, leading to integration of technology in the educational environment. This study focuses on using Information and Communication Technologies (ICT) in the Flipped Learning Model (FL) to enhance student motivation and learning. The research shows which ICTs are most used and beneficial for significant learning, emphasizing the importance of integrating ICT and Flipped Learning in educational communities to innovate the teaching-learning process.
EDUCATION SCIENCES
(2022)
