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  • Open Access

    ARTICLE

    Doubly-Fed Pumped Storage Units Participation in Frequency Regulation Control Strategy for New Energy Power Systems Based on Model Predictive Control

    Yuanxiang Luo*, Linshu Cai, Nan Zhang
    Energy Engineering, DOI:10.32604/ee.2024.058426
    Abstract Large-scale new energy grid connection leads to the weakening of the system frequency regulation capability, and the system frequency stability is facing unprecedented challenges. In order to solve rapid frequency fluctuation caused by new energy units, this paper proposes a new energy power system frequency regulation strategy with multiple units including the doubly-fed pumped storage unit (DFPSU). Firstly, based on the model predictive control (MPC) theory, the state space equations are established by considering the operating characteristics of the units and the dynamic behavior of the system; secondly, the proportional-differential control link is introduced to… More >

  • Open Access

    ARTICLE

    Design of Voltage Equalization Circuit and Control Method for Lithium-ion Battery Packs

    Qi Wang1,2,3, Lantian Ge1,*, Tianru Xie1, Yibo Huang1, Yandong Gu1, Tao Zhu1, Xuehua Gao1
    Energy Engineering, DOI:10.32604/ee.2024.059453
    (This article belongs to the Special Issue: Advanced Modelling, Operation, Management and Diagnosis of Lithium Batteries)
    Abstract The active equalization of lithium-ion batteries involves transferring energy from high-voltage cells to low-voltage cells, ensuring consistent voltage levels across the battery pack and maintaining safety. This paper presents a voltage balancing circuit and control method. First, a single capacitor method is used to design the circuit topology for energy transfer. Next, real-time voltage detection and control are employed to balance energy between cells. Finally, simulation and experimental results demonstrate the effectiveness of the proposed method, achieving balanced voltages of 3.97 V from initial voltages of 4.10, 3.97, and 3.90 V. The proposed circuit is More >

  • Open Access

    REVIEW

    Overview and Prospect of Distributed Energy P2P Trading

    Jiajia Liu*, Mingxing Tian, Xusheng Mao
    Energy Engineering, DOI:10.32604/ee.2024.058137
    Abstract After a century of relative stability in the electricity sector, the widespread adoption of distributed energy resources, along with recent advancements in computing and communication technologies, has fundamentally altered how energy is consumed, traded, and utilized. This change signifies a crucial shift as the power system evolves from its traditional hierarchical organization to a more decentralized approach. At the heart of this transformation are innovative energy distribution models, like peer-to-peer (P2P) sharing, which enable communities to collaboratively manage their energy resources. The effectiveness of P2P sharing not only improves the economic prospects for prosumers, who… More >

  • Open Access

    ARTICLE

    Optimal Scheduling of an Independent Electro-Hydrogen System with Hybrid Energy Storage Using a Multi-Objective Standardization Fusion Method

    Suliang Ma1, Zeqing Meng1, Mingxuan Chen2,*, Yuan Jiang3
    Energy Engineering, DOI:10.32604/ee.2024.057216
    Abstract In the independent electro-hydrogen system (IEHS) with hybrid energy storage (HESS), achieving optimal scheduling is crucial. Still, it presents a challenge due to the significant deviations in values of multiple optimization objective functions caused by their physical dimensions. These deviations seriously affect the scheduling process. A novel standardization fusion method has been established to address this issue by analyzing the variation process of each objective function’s values. The optimal scheduling results of IEHS with HESS indicate that the economy and overall energy loss can be improved 2–3 times under different optimization methods. The proposed method More >

  • Open Access

    ARTICLE

    Energy Efficiency of a Solar Green Building Using Bio-Sourced Materials for Indoor Temperature and Humidity Optimization

    Soumia Mounir1,2,3,*, Youssef Maaloufa1,2,3, Abdelhamid Khabbazi2, Elina Mohd Husini4, Nurul Syala Abdul Latip4, Yakubu Aminu Dodo5,6, Rime EL Harrouni2,7, Mina Amazal3, Asma Souidi3, Malika Atigui3, Ahmed Aharoune3
    Energy Engineering, DOI:10.32604/ee.2024.057125
    (This article belongs to the Special Issue: Materials and Energy an Updated Image for 2023)
    Abstract A clean environment with low carbon emissions is the goal of research on the development of green and sustainable buildings that use bio-sourced materials in conjunction with solar energy to create more sustainable cities. This is particularly true in Africa, where there aren’t many studies on the topic. The current study suggests a 90 m2 model of a sustainable building in a dry climate that is movable to address the issue of housing in remote areas, ensures comfort in harsh weather conditions, uses solar renewable resources—which are plentiful in Africa—uses bio-sourced materials, and examines how these… More >

  • Open Access

    ARTICLE

    Enhancing Solar Photovoltaic Efficiency: A Computational Fluid Dynamics Analysis

    Rahool Rai1,2,3,*, Fareed Hussain Mangi4, Kashif Ahmed2, Sudhakar Kumaramsay1,5,6,*
    Energy Engineering, DOI:10.32604/ee.2024.051789
    Abstract The growing need for sustainable energy solutions, driven by rising energy shortages, environmental concerns, and the depletion of conventional energy sources, has led to a significant focus on renewable energy. Solar energy, among the various renewable sources, is particularly appealing due to its abundant availability. However, the efficiency of commercial solar photovoltaic (PV) modules is hindered by several factors, notably their conversion efficiency, which averages around 19%. This efficiency can further decline to 10%–16% due to temperature increases during peak sunlight hours. This study investigates the cooling of PV modules by applying water to their… More >

  • Open Access

    ARTICLE

    Multi-Scenario Probabilistic Load Flow Calculation Considering Wind Speed Correlation

    Xueqian Wang*, Hongsheng Su
    Energy Engineering, DOI:10.32604/ee.2024.058102
    Abstract As the proportion of new energy increases, the traditional cumulant method (CM) produces significant errors when performing probabilistic load flow (PLF) calculations with large-scale wind power integrated. Considering the wind speed correlation, a multi-scenario PLF calculation method that combines random sampling and segmented discrete wind farm power was proposed. Firstly, based on constructing discrete scenes of wind farms, the Nataf transform is used to handle the correlation between wind speeds. Then, the random sampling method determines the output probability of discrete wind power scenarios when wind speed exhibits correlation. Finally, the PLF calculation results of More >

  • Open Access

    ARTICLE

    Joint Estimation of SOH and RUL for Lithium-Ion Batteries Based on Improved Twin Support Vector Machineh

    Liyao Yang1, Hongyan Ma1,2,3,*, Yingda Zhang1, Wei He1
    Energy Engineering, DOI:10.32604/ee.2024.057500
    (This article belongs to the Special Issue: Advanced Modelling, Operation, Management and Diagnosis of Lithium Batteries)
    Abstract Accurately estimating the State of Health (SOH) and Remaining Useful Life (RUL) of lithium-ion batteries (LIBs) is crucial for the continuous and stable operation of battery management systems. However, due to the complex internal chemical systems of LIBs and the nonlinear degradation of their performance, direct measurement of SOH and RUL is challenging. To address these issues, the Twin Support Vector Machine (TWSVM) method is proposed to predict SOH and RUL. Initially, the constant current charging time of the lithium battery is extracted as a health indicator (HI), decomposed using Variational Modal Decomposition (VMD), and… More >

  • Open Access

    ARTICLE

    Grid-Connected/Islanded Switching Control Strategy for Photovoltaic Storage Hybrid Inverters Based on Modified Chimpanzee Optimization Algorithm

    Chao Zhou1, Narisu Wang1, Fuyin Ni1,2,*, Wenchao Zhang1
    Energy Engineering, DOI:10.32604/ee.2024.057380
    (This article belongs to the Special Issue: Future Innovative Solar Collectors, Technologies, and Materials for Sustainable Development)
    Abstract Uneven power distribution, transient voltage, and frequency deviations are observed in the photovoltaic storage hybrid inverter during the switching between grid-connected and island modes. In response to these issues, this paper proposes a grid-connected/island switching control strategy for photovoltaic storage hybrid inverters based on the modified chimpanzee optimization algorithm. The proposed strategy incorporates coupling compensation and power differentiation elements based on the traditional droop control. Then, it combines the angular frequency and voltage amplitude adjustments provided by the phase-locked loop-free pre-synchronization control strategy. Precise pre-synchronization is achieved by regulating the virtual current to zero and… More >

  • Open Access

    ARTICLE

    Recent Advancements in the Optimization Capacity Configuration and Coordination Operation Strategy of Wind-Solar Hybrid Storage System

    Hongliang Hao1, Caifeng Wen2,3, Feifei Xue2,*, Hao Qiu1, Ning Yang2, Yuwen Zhang1, Chaoyu Wang1, Edwin E. Nyakilla1
    Energy Engineering, DOI:10.32604/ee.2024.057720
    Abstract Present of wind power is sporadically and cannot be utilized as the only fundamental load of energy sources. This paper proposes a wind-solar hybrid energy storage system (HESS) to ensure a stable supply grid for a longer period. A multi-objective genetic algorithm (MOGA) and state of charge (SOC) region division for the batteries are introduced to solve the objective function and configuration of the system capacity, respectively. MATLAB/Simulink was used for simulation test. The optimization results show that for a 0.5 MW wind power and 0.5 MW photovoltaic system, with a combination of a 300 More >

  • Open Access

    ARTICLE

    A Power Battery Fault Diagnosis Method Based on Long-Short Term Memory-Back Propagation

    Yuheng Yin, Jiahao Song*, Minghui Yang
    Energy Engineering, DOI:10.32604/ee.2024.059021
    (This article belongs to the Special Issue: Advanced Modelling, Operation, Management and Diagnosis of Lithium Batteries)
    Abstract The lithium battery is an essential component of electric cars; prompt and accurate problem detection is vital in guaranteeing electric cars’ safe and dependable functioning and addressing the limitations of Back Propagation (BP) neural networks in terms of vanishing gradients and inability to effectively capture dependencies in time series, and the limitations of Long-Short Term Memory (LSTM) neural network models in terms of risk of overfitting. A method based on LSTM-BP is put forward for power battery fault diagnosis to improve the accuracy of lithium battery fault diagnosis. First, a lithium battery model is constructed… More >

  • Open Access

    ARTICLE

    Coordinated Control Strategy of New Energy Power Generation System with Hybrid Energy Storage Unit

    Yun Zhang1,*, Zifen Han2, Biao Tian1, Ning Chen2, Yi Fan3
    Energy Engineering, DOI:10.32604/ee.2024.056190
    Abstract The new energy power generation is becoming increasingly important in the power system. Such as photovoltaic power generation has become a research hotspot, however, due to the characteristics of light radiation changes, photovoltaic power generation is unstable and random, resulting in a low utilization rate and directly affecting the stability of the power grid. To solve this problem, this paper proposes a coordinated control strategy for a new energy power generation system with a hybrid energy storage unit based on the lithium iron phosphate-supercapacitor hybrid energy storage unit. Firstly, the variational mode decomposition algorithm is… More >

  • Open Access

    ARTICLE

    Study of the Transport Behavior of Multispherical Proppant in Intersecting Fracture Based on Discrete Element Method

    Chengyong Peng1, Jianshu Wu1, Mao Jiang1, Biao Yin2,3,*, Yishan Lou2,3
    Energy Engineering, DOI:10.32604/ee.2024.056062
    (This article belongs to the Special Issue: Hydraulic Fracturing Theory and Application for Geo-energy Development)
    Abstract To analyze the differences in the transport and distribution of different types of proppants and to address issues such as the short effective support of proppant and poor placement in hydraulically intersecting fractures, this study considered the combined impact of geological-engineering factors on conductivity. Using reservoir production parameters and the discrete element method, multispherical proppants were constructed. Additionally, a 3D fracture model, based on the specified conditions of the L block, employed coupled (Computational Fluid Dynamics) CFD-DEM (Discrete Element Method) for joint simulations to quantitatively analyze the transport and placement patterns of multispherical proppants in… More >

  • Open Access

    ARTICLE

    Method for Estimating the State of Health of Lithium-ion Batteries Based on Differential Thermal Voltammetry and Sparrow Search Algorithm-Elman Neural Network

    Yu Zhang, Daoyu Zhang*, Tiezhou Wu
    Energy Engineering, DOI:10.32604/ee.2024.056244
    (This article belongs to the Special Issue: Advanced Modelling, Operation, Management and Diagnosis of Lithium Batteries)
    Abstract Precisely estimating the state of health (SOH) of lithium-ion batteries is essential for battery management systems (BMS), as it plays a key role in ensuring the safe and reliable operation of battery systems. However, current SOH estimation methods often overlook the valuable temperature information that can effectively characterize battery aging during capacity degradation. Additionally, the Elman neural network, which is commonly employed for SOH estimation, exhibits several drawbacks, including slow training speed, a tendency to become trapped in local minima, and the initialization of weights and thresholds using pseudo-random numbers, leading to unstable model performance.… More >

  • Open Access

    ARTICLE

    Dispatchable Capability of Aggregated Electric Vehicle Charging in Distribution Systems

    Shiqian Wang1, Bo Liu1, Yuanpeng Hua1, Qiuyan Li1, Binhua Tang2,*, Jianshu Zhou2, Yue Xiang2
    Energy Engineering, DOI:10.32604/ee.2024.054867
    Abstract This paper introduces a method for modeling the entire aggregated electric vehicle (EV) charging process and analyzing its dispatchable capabilities. The methodology involves developing a model for aggregated EV charging at the charging station level, estimating its physical dispatchable capability, determining its economic dispatchable capability under economic incentives, modeling its participation in the grid, and investigating the effects of different scenarios and EV penetration on the aggregated load dispatch and dispatchable capability. The results indicate that using economic dispatchable capability reduces charging prices by 9.7% compared to physical dispatchable capability and 9.3% compared to disorderly More >

  • Open Access

    ARTICLE

    Remaining Life Prediction Method for Photovoltaic Modules Based on Two-Stage Wiener Process

    Jie Lin*, Hongchi Shen, Tingting Pei, Yan Wu
    Energy Engineering, DOI:10.32604/ee.2024.055611
    Abstract Photovoltaic (PV) modules, as essential components of solar power generation systems, significantly influence unit power generation costs. The service life of these modules directly affects these costs. Over time, the performance of PV modules gradually declines due to internal degradation and external environmental factors. This cumulative degradation impacts the overall reliability of photovoltaic power generation. This study addresses the complex degradation process of PV modules by developing a two-stage Wiener process model. This approach accounts for the distinct phases of degradation resulting from module aging and environmental influences. A power degradation model based on the More >

  • Open Access

    ARTICLE

    Market Drivers in India’s Smart Grid: Responsibilities and Roles of Stakeholders

    Abhay Sanatan Satapathy1, Suresh Kumar Sahoo1, Asit Mohanty2,3, Yasser Fouad4, Manzoore Elahi Mohammad Soudagar5,6,7, Erdem Cuce8,9,10,*
    Energy Engineering, DOI:10.32604/ee.2024.055105
    Abstract The emergence of smart grids in India is propelled by an intricate interaction of market dynamics, regulatory structures, and stakeholder obligations. This study analyzes the primary factors that are driving the widespread use of smart grid technologies and outlines the specific roles and obligations of different stakeholders, such as government entities, utility companies, technology suppliers, and consumers. Government activities and regulations are crucial in facilitating the implementation of smart grid technology by offering financial incentives, regulatory assistance, and strategic guidance. Utility firms have the responsibility of implementing and integrating smart grid infrastructure, with an emphasis More >

  • Open Access

    ARTICLE

    Modeling and Capacity Configuration Optimization of CRH5 EMU On-Board Energy Storage System

    Mingxing Tian*, Weiyuan Zhang, Zhaoxu Su
    Energy Engineering, DOI:10.32604/ee.2024.057426
    Abstract In the context of the “dual carbon” goals, to address issues such as high energy consumption, high costs, and low power quality in the rapid development of electrified railways, this study focused on the China Railways High-Speed 5 Electric Multiple Unit and proposed a mathematical model and capacity optimization method for an on-board energy storage system using lithium batteries and supercapacitors as storage media. Firstly, considering the electrical characteristics, weight, and volume of the storage media, a mathematical model of the energy storage system was established. Secondly, to tackle problems related to energy consumption and… More >

  • Open Access

    ARTICLE

    Integrated Equipment with Functions of Current Flow Control and Fault Isolation for Multiterminal DC Grids

    Shuo Zhang1,2, Guibin Zou1,*
    Energy Engineering, DOI:10.32604/ee.2024.057452
    (This article belongs to the Special Issue: Emerging Technologies for Future Smart Grids)
    Abstract The multi-terminal direct current (DC) grid has extinctive superiorities over the traditional alternating current system in integrating large-scale renewable energy. Both the DC circuit breaker (DCCB) and the current flow controller (CFC) are demanded to ensure the multiterminal DC grid to operates reliably and flexibly. However, since the CFC and the DCCB are all based on fully controlled semiconductor switches (e.g., insulated gate bipolar transistor, integrated gate commutated thyristor, etc.), their separation configuration in the multiterminal DC grid will lead to unaffordable implementation costs and conduction power losses. To solve these problems, integrated equipment with… More >

  • Open Access

    REVIEW

    Hydrogen Energy Storage System: Review on Recent Progress

    Millenium Wong1, Hadi Nabipour Afrouzi2,*
    Energy Engineering, DOI:10.32604/ee.2024.056707
    Abstract A hydrogen energy storage system (HESS) is one of the many rising modern green innovations, using excess energy to generate hydrogen and storing it for various purposes. With that, there have been many discussions about commercializing HESS and improving it further. However, the design and sizing process can be overwhelming to comprehend with various sources to examine, and understanding optimal design methodologies is crucial to optimize a HESS design. With that, this review aims to collect and analyse a wide range of HESS studies to summarise recent studies. Two different collections of studies are studied,… More >