Article
Multidisciplinary Sciences
Natanael Bolson, Pedro Prieto, Tadeusz Patzek
Summary: In light of the consequences of climate change and the war in Ukraine, it is crucial to decarbonize electrical power systems globally while avoiding repeated blackouts. A comprehensive understanding of the performance and reliability of various power sources is essential for this endeavor. The capacity factor serves as a direct measure of the effectiveness and cost of power generation, enabling calculations to determine the necessary capacity to replace or expand current fossil fuel-based electricity generation using solar PV or wind power.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Green & Sustainable Science & Technology
Jin Zhong, Math Bollen, Sarah Ro
Summary: This study explores the possibility of achieving Sweden's goal of 100% renewable electricity production by strengthening wind power generation. By tripling the existing wind power capacity and combining it with existing hydropower, the goal could be reached within 20 years.
Article
Thermodynamics
Attoti Bharath Krishna, Abhijit R. Abhyankar
Summary: This paper proposes a new and efficient data-driven temporal wind power scenario generation framework using regular vine copula with variance reduction. This framework improves the quality of temporal scenarios by introducing the regular vine copula to model the temporal dependence structure and proposing a uniform design-based vine copula sampling algorithm. The proposed scenario generation method outperforms existing benchmarks according to a detailed multivariate scenario evaluation using multiple metrics and the Diebold-Mariano statistical test.
Article
Engineering, Electrical & Electronic
Ran Yuan, Bo Wang, Yeqi Sun, Xuanning Song, Junzo Watada
Summary: In this paper, a reliable and accurate renewable scenario generation model is proposed using style-based generative adversarial networks followed by a sequence encoder network. It generates accurate and reliable day-ahead scenarios directly from historical data through different-level scenario style controlling and mixing, thus achieving better characterization of renewable spatial-temporal dynamics.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Lei Duan, Tyler H. Ruggles, Ken Caldeira
Summary: Solar photovoltaics have the potential to replace fossil fuels and contribute to lower-cost zero-emission energy systems. The initial benefits of providing solar power to the electricity system are significant, especially in deep decarbonization scenarios. However, the value of additional solar power decreases as cumulative solar capacities increase. Taking full advantage of low-cost solar energy requires the development and deployment of low-cost approaches to energy supply or electricity load shifting.
Article
Engineering, Civil
Adaiana F. Gomes da Silva, Claudia Regina de Andrade, Edson Luiz Zaparoli
Summary: This paper focuses on estimating annual energy production (AEP) on a complex terrain in northeast Brazil using various numerical approaches. Different models are used to simulate wind fields, with optimal layouts for a hypothetical wind farm obtained to predict power generation. The study found significant differences in wind distribution among the models, leading to varying layouts and up to 13% differences in AEP predictions.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2021)
Article
Automation & Control Systems
Yang Li, Jiazheng Li, Yi Wang
Summary: This article proposes a novel federated deep generative learning framework, Fed-LSGAN, for generating high-quality scenarios in power systems with high-penetration renewables. The framework integrates federated learning and least square generative adversarial networks (LSGANs) to achieve privacy-preserving scenario generation and improve generation quality using the least squares loss function.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Marine
Tomislav Pesa, Maja Krcum, Grgo Kero, Josko Soda
Summary: This study analyzed the possibility of applying renewable energy sources such as solar and wind energy on existing vessels through technical and economic analysis. The results showed that using these renewable energy sources can save operating costs and reduce harmful gas emissions.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Ecology
Philip Tafarte, Paul Lehmann
Summary: This study quantifies the spatial trade-offs between different criteria in the deployment of onshore wind power using Pareto frontiers and a Gini-like potential trade-off indicator. The negative impacts of wind turbines on residents, landscape quality, and nature conservation are considered. The analysis shows substantial spatial trade-offs, particularly between nature conservation and other criteria.
ECOLOGICAL ECONOMICS
(2023)
Review
Energy & Fuels
Asim Kumar Sarker, Abul Kalam Azad, Mohammad G. G. Rasul, Arun Teja Doppalapudi
Summary: This study aims to analyze the generation of hydrogen from solar and wind energy sources and observe the broad prospects in producing green hydrogen using hybrid renewable energy sources. The study focuses on the critical assessment of solar, wind, and hybrid-powered electrolysis technologies in hydrogen production, as well as addressing the key challenges and opportunities associated with commercial-scale deployment.
Article
Green & Sustainable Science & Technology
Lingyun Sun, Jiemin Yin, Ahmad Raza Bilal
Summary: The study examines the correlation between green financing and wind power energy generation during the COVID-19 crisis. Through the use of the Kalman approach, Hansen technique, and sensitivity analysis, the study reveals that wind power consumption has rapidly increased due to its role in biofuel production. However, the capacity of onshore and offshore wind power production grew by 7% during COVID-19 with the assistance of green financing. Furthermore, the research findings indicate a 39% increase in green financing during the crisis, emphasizing its potential to enhance wind power generation.
Article
Energy & Fuels
Spyridon Chapaloglou, Damiano Varagnolo, Francesco Marra, Elisabetta Tedeschi
Summary: This study addresses the problem of generating uncertainty scenarios for energy storage sizing in isolated power systems. It proposes a data-driven scenarios selection strategy that learns the distribution of uncertainties and generates an optimal set of scenarios, mitigating computational issues and ensuring optimal solutions.
JOURNAL OF ENERGY STORAGE
(2022)
Review
Green & Sustainable Science & Technology
Solomon Boadu, Ebenezer Otoo
Summary: Despite Africa's vast energy resources, including wind energy, the continent faces challenges in developing its wind energy industry. Northern African countries and South Africa currently dominate the wind energy sector in Africa. To uplift Africa's socio-economic status, strong political will, supportive policies, and institutional frameworks are needed to drive the development of wind energy and overcome existing challenges.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Green & Sustainable Science & Technology
Jianqin Zheng, Jian Du, Bohong Wang, Jiri Jaromir Klemes, Qi Liao, Yongtu Liang
Summary: This paper proposes a hybrid framework for accurate power generation forecast of multiple renewable energy sources, which combines convolutional neural networks, attention-based long short-term memory networks, and auto-regression models to predict power generation more accurately.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Mathematics
Noman Khan, Fath U. Min Ullah, Ijaz Ul Haq, Samee Ullah Khan, Mi Young Lee, Sung Wook Baik
Summary: The article introduces a new architecture AB-Net for intelligent matching of renewable energy generation and consumption for efficient energy management. This method combines an autoencoder and bidirectional long short-term memory network in steps such as data acquisition, preprocessing, and feature extraction, achieving good prediction results.
Article
Engineering, Multidisciplinary
Tianguang Lu, Zhaoyu Wang, Qian Ai, Wei-Jen Lee
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2017)
Article
Energy & Fuels
Tianguang Lu, Qian Ai, Zhaoyu Wang
Article
Engineering, Multidisciplinary
Tianguang Lu, Wei-Jen Lee, Qian Ai, Songtao Lu
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2018)
Article
Engineering, Electrical & Electronic
Tianguang Lu, Zhaoyu Wang, Jianhui Wang, Qian Ai, Chong Wang
IEEE TRANSACTIONS ON SMART GRID
(2019)
Article
Engineering, Multidisciplinary
Hongying He, Diansheng Luo, Wei-Jen Lee, Zhenyuan Zhang, Yijia Cao, Tianguang Lu
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2019)
Article
Engineering, Electrical & Electronic
Feifan Shen, Juan Camilo Lopez, Qiuwei Wu, Marcos J. Rider, Tianguang Lu, Nikos D. Hatziargyriou
IEEE TRANSACTIONS ON POWER SYSTEMS
(2020)
Article
Multidisciplinary Sciences
Tianguang Lu, Peter Sherman, Xinyu Chen, Shi Chen, Xi Lu, Michael McElroy
NATURE COMMUNICATIONS
(2020)
Article
Engineering, Electrical & Electronic
Fei Xiao, Tianguang Lu, Qian Ai, Xiaolong Wang, Xinyu Chen, Sidun Fang, Qiuwei Wu
IEEE TRANSACTIONS ON SMART GRID
(2020)
Article
Engineering, Electrical & Electronic
Tianguang Lu, Xinyu Chen, Michael B. McElroy, Chris P. Nielsen, Qiuwei Wu, Qian Ai
Summary: This article proposes a reinforcement learning-based decision system to help end users optimize their consumption cost portfolios by choosing various pricing plans from different retail electricity companies. The algorithm improves computational and prediction performance by using an improved state framework and a batch Q-learning algorithm integrated with a Kernel approximator. Results show that the proposed decision model effectively reduces cost and energy consumption dissatisfaction for individual users.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Computer Science, Information Systems
Ran Hao, Tianguang Lu, Qiuwei Wu, Xinyu Chen, Qian Ai
Proceedings Paper
Energy & Fuels
Zhe Wang, Lingdong Kong, Yue Qin, Tianguang Lu, Xiaoqing Hu, Yuchen Chen
2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON)
(2018)
Proceedings Paper
Energy & Fuels
Zhe Wang, Yang Dong, Xinyang Wu, Xiaoqing Hu, Tianguang Lu, Jiayu Wang, Zijian Wang
2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON)
(2018)
Proceedings Paper
Engineering, Industrial
Tianguang Lu, Wei-Jen Lee, Qian Ai, Songtao Lu
2017 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING
(2017)
Proceedings Paper
Engineering, Industrial
Diansheng Luo, Xiangkui Cao, Hongying He, Tianguang Lu
2017 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING
(2017)
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)