Article
Green & Sustainable Science & Technology
Mayur P. Bonkile, Venkatasailanathan Ramadesigan
Summary: This paper studies battery degradation in standalone PV-wind battery hybrid power systems and finds that increasing the size of the battery energy storage system can extend its lifespan and reduce energy generation costs.
JOURNAL OF CLEANER PRODUCTION
(2022)
Review
Energy & Fuels
Inga Beyers, Astrid Bensmann, Richard Hanke-Rauschenbach
Summary: This article provides a systematic and comprehensive review of the Ragone plot methodology, focusing on classification and best practices, to guide future application.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Green & Sustainable Science & Technology
Can Wan, Weiting Qian, Changfei Zhao, Yonghua Song, Guangya Yang
Summary: This paper proposes a probabilistic forecasting-based HESS sizing and control scheme to cost-effectively smooth wind power fluctuations, which significantly reduces the installation cost and operation cost of HESS and prominently smooth the wind power fluctuations, as demonstrated by case studies based on actual data from a Danish wind farm.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Green & Sustainable Science & Technology
Anisa Emrani, Asmae Berrada, Mohamed Bakhouya
Summary: This study proposes a new methodology to optimally design and deploy large-scale GES systems, aiming to enhance their technical and economic competitiveness. The sizing methodology based on a genetic optimization algorithm determines the optimal dimensions of GES components. A case study confirms the effectiveness of the model, revealing GES's capability in balancing energy supply and demand.
Article
Thermodynamics
Yasser F. Nassar, Mohammad J. Abdunnabi, Mohamed N. Sbeta, Ahmad A. Hafez, Khaled A. Amer, Abdulaziz Y. Ahmed, Basim Belgasim
Summary: This paper presents a simple and effective method to optimize the sizing of a PHS-integrated hybrid PV/Wind power system for sustainable electricity supply in an urban community in Brack city, Libya. Constraints such as operating conditions and output uncertainty of RESs are considered to determine the optimal size, showing that coupling hybrid systems with PHS is a cost competitive and reliable alternative for sustainable energy supply in suitable urban areas.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Chemistry, Physical
M. Manuja, Tintu Thomas, Sam John, Joshy Jose, Gijo Jose
Summary: The 2D nanoflake structures of orthorhombic WO(3)0.33H(2)O prepared by the hydrothermal procedure exhibit high energy storage efficiency and good electrochemical properties. The material shows dominant battery like behavior with 93.99% diffusion controlled and 6.01% surface controlled processes. Additionally, WO(3)0.33H(2)O is proven to be a good cathode material in the assembly of solid state batteries.
JOURNAL OF ALLOYS AND COMPOUNDS
(2021)
Article
Thermodynamics
Adel Merabet, Ahmed Al-Durra, Ehab F. El-Saadany
Summary: The paper introduces an improved energy management system to reduce energy costs and increase battery lifespan in a hybrid solar and wind microgrid. By analyzing different contribution factor profiles and implementing load shifting mechanism, the system shows superiority in reducing costs and improving battery degradation compared to conventional systems. Linear contribution factor and load shifting result in daily costs of $68.27 for energy and $0.81 for degradation, representing significant decreases compared to traditional systems.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Chemistry, Physical
Jiasheng Chen, Parthasarathi Bandyopadhyay, En Mei Jin, Sang Mun Jeong
Summary: Transition metal phosphides (TMPs) are considered as promising materials for supercapacitors due to their excellent redox activity and electrical conductivity. However, their rate performance and long-term stability have limited their practical applications. In this study, hierarchical Fe-Co-P@Ni(OH)2 core@shell nanoarrays were synthesized and exhibited high specific capacity, rate capability, and cycling stability. An asymmetric supercapacitor device was also assembled with the Fe-Co-P@Ni(OH)2 electrode as the positive electrode, showing high energy density, rate capability, and cycling performance.
APPLIED SURFACE SCIENCE
(2022)
Article
Thermodynamics
Edoardo Catenaro, Denise M. Rizzo, Simona Onori
Summary: This paper proposes a methodology for selecting the most suitable energy storage system for a targeted application, focusing on electrified military vehicles. The method uses the Enhanced-Ragone plot as a guiding tool and employs a frequency-based segmentation strategy to assign requested power to powertrain actuators.
Article
Environmental Studies
Syed Mujtaba Mahdi Mudassir, U. Salma
Summary: This article proposes an optimal size and performance analysis for hybrid renewable energy sources using the atomic orbital search-recalling-enhanced recurrent neural network technique. The proposed method aims to reduce the life-cycle cost of the system while considering various factors such as wind turbines, solar panels, energy storage systems, and biodiesel generators. The method is validated using MATLAB and compared with existing methods.
ENERGY & ENVIRONMENT
(2023)
Article
Energy & Fuels
Marco Gambini, Federica Guarnaccia, Michele Manno, Michela Vellini
Summary: This paper presents an analytical assessment of the energy-power relationship for different material-based hydrogen storage systems. It explores the impact of power demand on the amount of discharged hydrogen and the utilization factor. The results show that metal hydrides have higher specific power compared to liquid organic hydrogen carriers. The study provides insights into the discharge duration and energy utilization of hydrogen storage systems.
JOURNAL OF ENERGY STORAGE
(2024)
Article
Chemistry, Physical
Junzhou Li, Jinbin Zhao, Yiwen Chen, Ling Mao, Keqing Qu, Fen Li
Summary: This paper discusses the potential of hydrogen energy storage systems in high-proportion renewable energy systems and proposes a bi-level optimization model for the economic operation of a wind-photovoltaichydrogen hybrid system. The study investigates the relationship between the operation of the storage system and the matching of source-load output, and introduces wind-solar complementarity and demand response as adjustment factors. By using a hybrid optimization algorithm, the optimal sizing of components and the minimization of storage costs are achieved. The simulation results show that the system can reduce total costs by approximately 7.3% and storage costs by 10.3%, with a low storage cost of 0.276 USD/kWh.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Energy & Fuels
Yuqing Yang, Stephen Bremner, Chris Menictas, Merlinde Kay
Summary: This study introduces a novel approach for battery sizing in an HRPP based on forecasting error characteristics, which reduces the battery capacity requirements effectively, demonstrating a certain degree of foresight and operability.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Engineering, Electrical & Electronic
Marzieh Khosravi, Saeed Afsharnia, Shahrokh Farhangi
Summary: This paper introduces a power management method utilizing a hybrid energy storage system to address the uncertainty of wind power integration into the grid. By using discrete wavelet transform and clustering methods, combined with mixed-integer linear programming and maximizing net present value, the optimal size and type of energy storage systems are determined. The effectiveness of the proposed method is verified through real data validation at a scaled-down wind farm.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Computer Science, Information Systems
Tohid Rahimi, Lei Ding, Mostafa Kheshti, Rasoul Faraji, Josep M. Guerrero, Gibran David Agundis Tinajero
Summary: Due to the high penetration of renewable energy resources in microgrids, the grid inertia becomes low, making it vulnerable to disturbances. Energy storage devices can enhance the grid inertia; however, their high investment cost or dp/dt limitation may not cover the challenge of high df/dt. To address this issue, a coordinated operation strategy between wind generators and hybrid energy storage systems is proposed. Improving communication infrastructure quality with low delay and increasing Ultracapacitor capacity have been focused on to enhance the inertia response of microgrids.
Article
Chemistry, Physical
Guozhou Liang, Yiming Zhang, Qi Han, Zhaoping Liu, Zhen Jiang, Shuang Tian
JOURNAL OF POWER SOURCES
(2017)
Article
Electrochemistry
Milin Zhang, Pu Wang, Yiming Zhang, Debin Ji, Yongde Yan, Weiqun Shi, Qing Huang, Shiyu Du
ELECTROCHEMISTRY COMMUNICATIONS
(2018)
Article
Green & Sustainable Science & Technology
Qiang Du, Qi Han, Yiming Zhang, Zhaoping Liu, Shuang Tian, Zhimin Zhang
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY
(2018)
Article
Materials Science, Multidisciplinary
Y. M. Zhang, S. Yang, J. R. G. Evans
Article
Chemistry, Physical
Xiayin Yao, Xing Xin, Yiming Zhang, Jun Wang, Zhaoping Liu, Xiaoxiong Xu
JOURNAL OF ALLOYS AND COMPOUNDS
(2012)
Article
Thermodynamics
Yiming Zhang, Julian R. G. Evans, Shoufeng Yang
JOURNAL OF CHEMICAL AND ENGINEERING DATA
(2011)
Article
Chemistry, Physical
Hailiang Cao, Xufeng Zhou, Yiming Zhang, Liang Chen, Zhaoping Liu
JOURNAL OF POWER SOURCES
(2013)
Article
Electrochemistry
Xing Xin, Xiayin Yao, Yiming Zhang, Zhaoping Liu, Xiaoxiong Xu
JOURNAL OF SOLID STATE ELECTROCHEMISTRY
(2012)
Article
Materials Science, Multidisciplinary
Y. M. Zhang, J. R. G. Evans, S. F. Yang
PHILOSOPHICAL MAGAZINE
(2010)
Article
Materials Science, Multidisciplinary
Y. M. Zhang, R. Ubic, D. F. Xue, S. Yang
Article
Electrochemistry
Jun Wang, Yonggao Xia, Xiayin Yao, Minghao Zhang, Yiming Zhang, Zhaoping Liu
INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE
(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)
