Article
Green & Sustainable Science & Technology
Hatem Diab, Mahmoud Abdelsalam, Alaa Abdelbary
Summary: This paper proposes a multi-objective intelligent control technique based on three different meta-heuristic optimization algorithms to solve the OPF problem. The results show that the proposed techniques are more effective in solving the OPF problem when compared to the commonly used PSO algorithm.
Article
Thermodynamics
David Olave-Rojas, Eduardo Alvarez-Miranda
Summary: This paper introduces a decision support framework based on mixed integer programming for planning the expansion of energy systems. By addressing the strategic renewable power system expansion problem and a Unit Commitment problem, this framework ensures a realistic and accurate economic evaluation while considering the impact on the grid.
Article
Engineering, Electrical & Electronic
Markus Loschenbrand
Summary: This paper presents a model that incorporates investments in demand flexibility into traditional transmission expansion problems through a dynamic power flow model and value function approximation using neural networks. It also introduces the use of robust sets and linearization to handle uncertainty and reduce computational complexity, as well as the transformation of a tri-level problem into a bi-level problem using Karush Kuhn Tucker conditions. Case studies on systems of varying complexity demonstrate the convergence of the algorithm and the cost-effective substitution of flexible resources for transmission lines in grid expansion.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Edgar G. Morquecho, Santiago P. Torres, Fabian Astudillo-Salinas, Carlos A. Castro, Hakan Ergun, Dirk Van Hertem
Summary: This paper proposes a dynamic non-convex formulation to solve the Transmission Network Expansion Planning problem, considering reactive power planning and operational costs. It also introduces an improved hybrid solution method to enhance calculation time and robustness.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Energy & Fuels
Thongsavanh Keokhoungning, Suttichai Premrudeepeechacharn, Wullapa Wongsinlatam, Ariya Namvong, Tawun Remsungnen, Nongram Mueanrit, Kanda Sorn-in, Satit Kravenkit, Apirat Siritaratiwat, Chavis Srichan, Sirote Khunkiti, Chayada Surawanitkun
Summary: A newly proposed method for Transmission Network Expansion Planning (TNEP) considering high-penetration solar energy was presented using particle swarm optimization (PSO) algorithm. The optimal sizing and locating of photovoltaic (PV) connected to the network were determined by PSO, improving system reliability and economics. The proposed TNEP method was found to be robust and feasible for guiding power system planning in Lao PDR based on simulation results.
Article
Thermodynamics
Felipe Verastegui, Alvaro Lorca, Daniel Olivares, Matias Negrete-Pincetic
Summary: Several countries are adopting plans to reduce contaminant emissions from the energy sector through renewable energy integration and restrictions on fossil fuel generation. This study develops a planning model that includes an effective representation of the system's operational aspects to understand the key role of flexible resources in highly renewable power systems undergoing strong decarbonization. The results show that highly renewable generation mixes are feasible with an effective balance of flexibility attributes like ramping, storage, and transmission capacities.
Article
Green & Sustainable Science & Technology
Alireza Dehshiri Badi, Vahid Amir, Seyed Mohammad Shariatmadar
Summary: This paper presents a generation and transmission expansion planning (GTEP) scheme for electricity and gas networks, considering their resilience against floods and earthquakes. The scheme involves bi-level optimization, with the upper level minimizing the planning cost and the lower level minimizing the total annual operating cost and outage cost. Stochastic optimization is used to model uncertainties, and numerical results confirm the effectiveness of the proposed scheme in improving network resilience.
IET RENEWABLE POWER GENERATION
(2023)
Article
Computer Science, Artificial Intelligence
Yinuo Li, Jin-Kao Hao, Brahim Chabane
Summary: The translated paragraph discusses the importance of developing personalized projects in social and medico-social centers to improve project efficiency. The work explores the main issue of elaborating feasible and thoughtful personalized projects, as well as the imperative constraints and optimizing objectives to consider when creating personalized projects. The study presents a general formulation of the problem and investigates two solution approaches based on mathematical programming and greedy search.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Engineering, Multidisciplinary
Md. Zahir Hossain, Hazlee Azil Illias
Summary: Binary cycle power plants have the potential to utilize solar energy as a heating source in Malaysia, which has a high solar irradiation and sunshine duration. However, no feasibility study has been conducted on this topic. In this work, a techno-economic analysis was performed using HOMER and MATLAB Simulink, with Teaching Learning Based Optimization showing the most optimized economic cost. The study confirms the feasibility of binary power cycle generation using solar energy as a heat source in Malaysia.
AIN SHAMS ENGINEERING JOURNAL
(2022)
Article
Energy & Fuels
Khaled Nusair, Feras Alasali, Ali Hayajneh, William Holderbaum
Summary: This article introduces four new independent, reliable and efficient optimization algorithms inspired by nature and biological nature, for solving OPF problems in modern power network models, including different operation cases considering stochastic renewable energy sources and FACTS. The new metaheuristic optimization techniques are more effective solvers for OPF problems compared to PSO, GWO and MFO algorithms.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Naga Yasasvi Puvvada, Abheejeet Mohapatra, Suresh Chandra Srivastava
Summary: This paper proposes a novel nonlinear dual-based bi-level approach for robust AC Transmission Expansion Planning (TEP) with uncertainties in RES generations and loads. It introduces a convex relaxation and utilizes Benders Decomposition (BD) to solve the problem. The approach is tested on various systems, demonstrating its robustness and efficacy.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Prudhvi Anand Bhattiprolu, Antonio J. Conejo
Summary: This paper proposes a multi-period hybrid AC/DC network expansion planning model that considers node voltages, reactive power, and network losses. By utilizing a second-order conic relaxation, the non-convex problem of AC power flow equations is solved. Three case studies are conducted to demonstrate the effectiveness of the proposed model.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Review
Green & Sustainable Science & Technology
Tao Ding, Wenhao Jia, Mohammad Shahidehpour, Ouzhu Han, Yuge Sun, Ziyu Zhang
Summary: This article provides a comprehensive review of the utilization of renewable energy resources, focusing on energy hub modeling and optimization algorithms. It also discusses the IoT-based energy hub control structure and corresponding management methods.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2022)
Article
Energy & Fuels
Yunyun Wu, Jiakun Fang, Xiaomeng Ai, Xizhen Xue, Shichang Cui, Xia Chen, Jinyu Wen
Summary: This paper proposes a robust co-planning model for hybrid AC/DC transmission network and energy storage, aiming to accommodate renewable energy and avoid investment redundancy. The energy storage in the power grid improves power flow distribution and alleviates transmission congestion, postponing investment in new devices. A deterministic co-planning model is developed, and second-order cone programming (SOCP) is applied to handle the non-convexity of the model. To deal with the uncertainty of renewable energy, a robust co-planning formulation is established with the use of data-adaptive uncertainty set and the extreme scenario method. The effectiveness and superiority of the proposed model are verified through case studies on two power systems.
Article
Green & Sustainable Science & Technology
Enas Taha Sayed, A. G. Olabi, Khaled Elsaid, Muaz Al Radi, Concetta Semeraro, Mohammad Hossein Doranehgard, Mohamed Elrayah Eltayeb, Mohammad Ali Abdelkareem
Summary: Using various renewable energy resources to power desalination plants is an encouraging choice, especially in arid and remote areas. However, the unpredictable load demands and intermittency nature of these resources make designing such systems difficult. This work discusses various artificial intelligence techniques to enhance RES-powered desalination systems.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Energy & Fuels
Aditya Choukulkar, Yelena Pichugina, Christopher T. M. Clack, Ronald Calhoun, Robert Banta, Alan Brewer, Michael Hardesty
Article
Energy & Fuels
Christopher T. M. Clack, Anneliese Alexander, Aditya Choukulkar, Alexander E. MacDonald
Article
Energy & Fuels
Y. L. Pichugina, W. A. Brewer, R. M. Banta, A. Choukulkar, C. T. M. Clack, M. C. Marquis, B. J. McCarty, A. M. Weickmann, S. P. Sandberg, R. D. Marchbanks, R. M. Hardesty
Article
Environmental Sciences
Alexander E. MacDonald, Christopher T. M. Clack, Anneliese Alexander, Adam Dunbar, James Wilczak, Yuanfu Xie
NATURE CLIMATE CHANGE
(2016)
Article
Meteorology & Atmospheric Sciences
Christopher T. M. Clack
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
(2017)
Article
Meteorology & Atmospheric Sciences
Elizabeth C. Weatherhead, Greg E. Bodeker, Alessandro Fasso, Kai-Lan Chang, Jeffrey K. Lazo, C. T. M. Clack, Dale F. Hurst, Birgit Hassler, Jason M. English, Soner Yorgun
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
(2017)
Article
Multidisciplinary Sciences
Christopher T. M. Clack, Staffan A. Qvist, Jay Apt, Morgan Bazilian, Adam R. Brandt, Ken Caldeira, Steven J. Davis, Victor Diakov, Mark A. Handschy, Paul D. H. Hines, Paulina Jaramillo, Daniel M. Kammen, Jane C. S. Long, M. Granger Morgan, Adam Reed, Varun Sivaram, James Sweeney, George R. Tynan, David G. Victor, John P. Weyant, Jay F. Whitacre
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2017)
Review
Multidisciplinary Sciences
Steven J. Davis, Nathan S. Lewis, Matthew Shaner, Sonia Aggarwal, Doug Arent, Ines L. Azevedo, Sally M. Benson, Thomas Bradley, Jack Brouwer, Yet-Ming Chiang, Christopher T. M. Clack, Armond Cohen, Stephen Doig, Jae Edmonds, Paul Fennell, Christopher B. Field, Bryan Hannegan, Bri-Mathias Hodge, Martin I. Hoffert, Eric Ingersoll, Paulina Jaramillo, Klaus S. Lackner, Katharine J. Mach, Michael Mastrandrea, Joan Ogden, Per F. Peterson, Daniel L. Sanchez, Daniel Sperling, Joseph Stagner, Jessika E. Trancik, Chi-Jen Yang, Ken Caldeira
Article
Environmental Sciences
Elizabeth C. Weatherhead, Bruce A. Wielicki, V. Ramaswamy, Mark Abbott, Thomas P. Ackerman, Robert Atlas, Guy Brasseur, Lori Bruhwiler, Antonio J. Busalacchi, James H. Butler, Christopher T. M. Clack, Roger Cooke, Lidia Cucurull, Sean M. Davis, Jason M. English, David W. Fahey, Steven S. Fine, Jeffrey K. Lazo, Shunlin Liang, Norman G. Loeb, Eric Rignot, Brian Soden, Diane Stanitski, Graeme Stephens, Byron D. Tapley, Anne M. Thompson, Kevin E. Trenberth, Donald Wuebbles
Article
Astronomy & Astrophysics
C. T. M. Clack, I. Ballai, M. Douglas
Article
Meteorology & Atmospheric Sciences
Stephanie Redfern, Joseph B. Olson, Julie K. Lundquist, Christopher T. M. Clack
MONTHLY WEATHER REVIEW
(2019)
Article
Engineering, Electrical & Electronic
P. Maloney, P. Chitkara, J. McGalley, B. F. Hobbs, C. T. M. Clack, M. A. Ortega-Vazquez, A. Tuohy, A. Gaikwad, J. Roark
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Ric O'Connell, Amol Phadke, Michael O'Boyle, Christopher T. Clack, Paul Denholm, Bernhard Ernst
IEEE POWER & ENERGY MAGAZINE
(2021)
Proceedings Paper
Astronomy & Astrophysics
A. D. Crouch, A. C. Birch, D. C. Braun, C. T. M. Clack
PHYSICS OF SUN AND STAR SPOTS
(2011)
Article
Engineering, Electrical & Electronic
Wandry R. Faria, Gregorio Munoz-Delgado, Javier Contreras, Benvindo R. Pereira Jr
Summary: This paper proposes a new bilevel mathematical model for competitive electricity markets, taking into account the participation of distribution systems operators. A new pricing method is introduced as an alternative to the inaccessible dual variables of the transmission system.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Chao Zhang, Liwei Zhang, Dong Wang, Kaiyuan Lu
Summary: The load disturbance rejection ability of electrical machine systems is crucial in many applications. Existing studies mainly focus on improving disturbance observers, but the speed response control during the transient also plays a significant role. This paper proposes a sliding mode disturbance observer-based load disturbance rejection control with an adaptive filter and a Smith predictor-based speed filter delay compensator to enhance the transient speed response.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Arif Hussain, Arif Mehdi, Chul-Hwan Kim
Summary: The proposed scheme in this research paper is a communication-less islanding detection system based on recurrent neural network (RNN) for hybrid distributed generator (DG) systems. The scheme demonstrates good performance in feature extraction, feature selection, and islanding detection, and it also performs effectively in noisy environments.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Zonghui Sun, Xizheng Guo, Shinan Wang, Xiaojie You
Summary: This paper presents a status pre-matching method (SPM) that eliminates the iterative calculations for resistance switch model, and simulates all operation modes of PECs through a more convenient approach. Furthermore, a FPGA implementation scheme is proposed to fully utilize the multiplier units of FPGA.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Rui Zhou, Shuheng Chen, Yang Han, Qunying Liu, Zhe Chen, Weihao Hu
Summary: In power system scheduling with variable renewable energy sources, considering both spatial and temporal correlations is a challenging task due to the complex intertwining of spatiotemporal characteristics and computational complexity caused by high dimensionality. This paper proposes a novel probabilistic spatiotemporal scenario generation (PSTSG) method that generates probabilistic scenarios accounting for spatial and temporal correlations simultaneously. The method incorporates Latin hypercube sampling, copula-importance sampling theory, and probability-based scenario reduction technique to efficiently capture the spatial and temporal correlation in the dynamic optimal power flow problem. Numerical simulations demonstrate the superiority of the proposed approach in terms of computational efficiency and accuracy compared to existing methods.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Juan Manuel Mauricio, J. Carlos Olives-Camps, Jose Maria Maza-Ortega, Antonio Gomez-Exposito
Summary: This paper proposes a simplified thermal model of VSC, which can produce accurate results at a low computational cost. The model consists of a simple first-order thermal dynamics system and two quadratic equations to model power losses. A methodology is also provided to derive the model parameters from manufacturer data.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Jae-Kyeong Kim, Kyeon Hur
Summary: This paper investigates the relationship between the accuracy of finite difference-based trajectory sensitivity (FDTS) analysis and the perturbation size in non-smooth systems. The study reveals that the approximation accuracy is significantly influenced by the perturbation size, and linear approximation is the most suitable method for practical applications.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yuan Si, Amjad Anvari-Moghaddam
Summary: This paper investigates the impact of geomagnetic disturbances on small signal stability in power systems and proposes the installation of blocking devices to mitigate the negative effects. Quantitative evaluation reveals that intense geomagnetic disturbances significantly increase the risk of small signal instability. Optimal placement of blocking devices based on sensitivity scenarios results in a significant reduction in the risk index compared to constant and varying induced geoelectric fields scenarios.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xuejian Zhang, Wenxin Kong, Nian Yu, Huang Chen, Tianyang Li, Enci Wang
Summary: The intensity estimation of geomagnetically induced currents (GICs) varies depending on the method used. The estimation using field magnetotelluric (MT) data provides the highest accuracy, followed by the estimation using 3D conductivity models and the estimation using a 1D conductivity model. The GICs in the North China 1000-kV power grid have reached a very high-risk level, with C3 and C4 having a significant impact on the geoelectric field and GICs.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yue Pan, Shunjiang Lin, Weikun Liang, Xiangyong Feng, Xuan Sheng, Mingbo Liu
Summary: This paper introduces the concept and model of offshore-onshore regional integrated energy system, and proposes a stochastic optimal dispatch model and an improved state-space approximate dynamic programming algorithm to solve the model. The case study demonstrates the effectiveness and high efficiency of the proposed method in improving economic and environmental benefits.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Mohammad Eydi, Reza Ghazi, Majid Oloomi Buygi
Summary: Proportional current sharing, voltage restoration, and SOCs balancing in DC microgrid control algorithms are the leading challenges. This paper proposes a novel communication-less control method using a capacitor and a DC/DC converter to stabilize the system and restore the DC bus voltage. The method includes injecting an AC signal into the DC bus, setting the current of energy storage units based on frequency and SOC, and incorporating droop control for system stability. Stability analysis and simulation results validate the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xiangjian Meng, Xinyu Shi, Weiqi Wang, Yumin Zhang, Feng Gao
Summary: With the increasing penetration of photovoltaic power generation, regional power forecasting becomes critical for stable and economical operation of power systems. This paper proposes a minute-level regional PV power forecasting scheme using selected reference PV plants. The challenges include the lack of complete historical power data and the heavy computation burden. The proposed method incorporates a novel reference PV plant selection method and a flexible approach to decrease the accumulated error of rolling forecasting.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Huabo Shi, Yuhong Wang, Xinwei Sun, Gang Chen, Lijie Ding, Pengyu Pan, Qi Zeng
Summary: This article investigates the dynamic stability characteristics of the full size converter variable speed pumped storage unit and proposes improvements for the control strategy. The research is important for ensuring the safe and efficient operation of the unit.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Firmansyah Nur Budiman, Makbul A. M. Ramli, Houssem R. E. H. Bouchekara, Ahmad H. Milyani
Summary: This paper proposes an optimal harmonic power flow framework for the daily scheduling of a grid-connected microgrid, which addresses power quality issues and ensures effective control through demand side management.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Cong Zeng, Ziyu Chen, Jizhong Zhu, Fellew Ieee
Summary: This paper introduces a distributed solution method for the multi-objective OPF problem, using a coevolutionary multi-objective evolutionary algorithm and the idea of decomposition. The problem is alleviated by decomposing decision variables and objective functions, and a new distributed fitness evaluation method is proposed. The experimental results demonstrate the effectiveness of the method and its excellence in large-scale systems.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)