Open Access
ARTICLE
Jingxian Ni, Chaomeng Wang, Shiqi Sun, Yuxuan Sun, Gang Ma*
Energy Engineering, DOI:10.32604/ee.2025.066971
Abstract To improve the fault diagnosis accuracy of a PV grid-connected inverter, a PV grid-connected inverter data diagnosis method based on MPA-VMD-PSO-BiLSTM is proposed. Firstly, unlike the traditional VMD algorithm which relies on manual experience to set parameters (e.g., noise tolerance, penalty parameter, number of decompositions), this paper achieves adaptive optimization of parameters through MPA algorithm to avoid the problem of feature information loss caused by manual parameter tuning, and adopts the improved VMD algorithm for feature extraction of DC-side voltage data signals of PV-grid-connected inverters; and then, adopts the PSO algorithm for the Then, the… More >
Open Access
ARTICLE
Linwei Yao1,*, Xiangning Lin1,2, Huashen He1, Jiahui Yang1
Energy Engineering, DOI:10.32604/ee.2025.066628
（This article belongs to the Special Issue: Integration of Hybrid Renewable Energy Systems for Sustainable Development)
Abstract In order to address the synergistic optimization of energy efficiency improvement in the waste incineration power plant (WIPP) and renewable energy accommodation, an electricity-hydrogen-waste multi-energy system integrated with phase change material (PCM) thermal storage is proposed. First, a thermal energy management framework is constructed, combining PCM thermal storage with the alkaline electrolyzer (AE) waste heat recovery and the heat pump (HP), while establishing a PCM-driven waste drying system to enhance the efficiency of waste incineration power generation. Next, a flue gas treatment method based on purification-separation-storage coordination is adopted, achieving spatiotemporal decoupling between waste incineration… More >
Open Access
ARTICLE
S. M. Rezaul Karim1,2, Md. Shouquat Hossain1,3, Khadiza Akter1, Debasish Sarker4, Md. Moniul Kabir 2, Mamdouh Assad5,*
Energy Engineering, DOI:10.32604/ee.2025.066867
（This article belongs to the Special Issue: Advances in Renewable Energy Systems: Integrating Machine Learning for Enhanced Efficiency and Optimization)
Abstract Knowing the influence of the size of datasets for regression models can help in improving the accuracy of a solar power forecast and make the most out of renewable energy systems. This research explores the influence of dataset size on the accuracy and reliability of regression models for solar power prediction, contributing to better forecasting methods. The study analyzes data from two solar panels, aSiMicro03036 and aSiTandem72-46, over 7, 14, 17, 21, 28, and 38 days, with each dataset comprising five independent and one dependent parameter, and split 80–20 for training and testing. Results indicate… More >
Open Access
ARTICLE
Luiz Felipe Souza Fonseca1, Heitor do Nascimento Andrade1, João Marcelo Fernandes Gualberto de Galiza2, Raphael Abrahão1, Hamid Boleydei3, Silvia Guillén-Lambea4, Monica Carvalho1,*
Energy Engineering, DOI:10.32604/ee.2025.066218
（This article belongs to the Special Issue: Recent Advances in Sustainable Solar Thermal and PV Systems)
Abstract The application of different coatings on solar photovoltaic (PV) panels can be an efficient solution to increase performance and further mitigate the emission of greenhouse gases. This study uses the Life Cycle Assessment (LCA) methodology and the environmental payback concept to analyze the effects of the application of a nano-silica coating on a solar PV system installed in the Brazilian Northeast. Firstly, an uncoated reference 16.4 MW PV system is designed, and the detailed inventory is presented (PV panels, supporting structure, inverters, junction boxes, cables, transportation, maintenance and operation—including the replacement of equipment). The results… More >
Open Access
ARTICLE
Yanjie Liu, Ximin Cao*, Yanchi Zhang
Energy Engineering, DOI:10.32604/ee.2025.066577
（This article belongs to the Special Issue: Advanced Analytics on Energy Systems)
Abstract Under the “dual carbon” goals, this paper constructs an optimization model of the comprehensive energy system in the park. A stepwise carbon excess rate mechanism and an electric vehicle coupling strategy are proposed: A carbon quota trading system is established based on the baseline method, and the stepwise function is adopted to quantify the cost of excess carbon emissions; Introduce the price demand response and the two-way interaction mechanism of electric Vehicle vehicle-to-grid (V2G) to enhance the flexible regulation ability. Aiming at the uncertainty of wind and solar output, a typical scene set is generated… More >
Open Access
ARTICLE
Xiaolong Xiao1, Xiaoxing Lu1,*, Ziran Guo1, Jian Liu1, Shenglong Wu2, Ye Cai2
Energy Engineering, DOI:10.32604/ee.2025.065631
Abstract With the popularization of microgrid construction and the connection of renewable energy sources to the power system, the problem of source and load uncertainty faced by the coordinated operation of multi-microgrid is becoming increasingly prominent, and the accuracy of typical scenario predictions is low. In order to improve the accuracy of scenario prediction under source and load uncertainty, this paper proposes a typical scenario identification model based on random forests and order parameters. Firstly, a method for ordinal parameter identification and quantification is provided for the coordinated operating mode of multi-microgrids, taking into account source-load… More >
Open Access
ARTICLE
Yuming Luo1, Wei Zhang2, Anqi Zhao2, Ling Gou1, Li Chen1, Yaling Yang1, Xiaoping Wang1, Shichang Liu1, Huiqing Qi3, Shilai Hu2,*
Energy Engineering, DOI:10.32604/ee.2025.066507
（This article belongs to the Special Issue: Integrated Geology-Engineering Simulation and Optimizationfor Unconventional Oil and Gas Reservoirs)
Abstract This work proposes an optimization method for gas storage operation parameters under multi-factor coupled constraints to improve the peak-shaving capacity of gas storage reservoirs while ensuring operational safety. Previous research primarily focused on integrating reservoir, wellbore, and surface facility constraints, often resulting in broad constraint ranges and slow model convergence. To solve this problem, the present study introduces additional constraints on maximum withdrawal rates by combining binomial deliverability equations with material balance equations for closed gas reservoirs, while considering extreme peak-shaving demands. This approach effectively narrows the constraint range. Subsequently, a collaborative optimization model with… More >
Open Access
ARTICLE
Yunfei Xu1, Jianfeng Liu1,*, Tianxing Sun1, Heran Kang1, Xiaoqing Hao2
Energy Engineering, DOI:10.32604/ee.2025.065753
Abstract In order to promote the utilization level of new energy resources for local and efficient consumption, this paper introduces the biogas (BG) fermentation technology into the integrated energy system (IES). This initiative is to study the collaborative and optimal scheduling of IES with wind power (WP), photovoltaic (PV), and BG, while integrating carbon capture system (CCS) and power-to-gas (P2G) system. Firstly, the framework of collaborative operation of IES for BG-CCS-P2G is constructed. Secondly, the flexible scheduling resources of the source and load sides are fully exploited, and the collaborative operation mode of CCS-P2G is proposed… More >
Open Access
ARTICLE
Ruiheng Pan*, Shuyan Wang, Yihan Huang, Gang Ma
Energy Engineering, DOI:10.32604/ee.2025.065124
Abstract Contemporary power network planning faces critical challenges from intensifying climate variability, including greenhouse effect amplification, extreme precipitation anomalies, and persistent thermal extremes. These meteorological disruptions compromise the reliability of renewable energy generation forecasts, particularly in photovoltaic (PV) systems. However, current predictive methodologies exhibit notable deficiencies in extreme weather monitoring, systematic transient phenomena analysis, and preemptive operational strategies, especially for cold-wave weather. In order to address these limitations, we propose a dual-phase data enhancement protocol that takes advantage of Time-series Generative Adversarial Networks (TimeGAN) for temporal pattern expansion and the K-medoids clustering algorithm for synthetic data… More >
Open Access
ARTICLE
Cuiping Li1, Ziyun Zong1, Xingxu Zhu1, Zheng Fang2, Caiqi Jia3, Wenbo Si4, Gangui Yan1, Junhui Li1,*
Energy Engineering, DOI:10.32604/ee.2025.066629
（This article belongs to the Special Issue: Integration of Hybrid Renewable Energy Systems for Sustainable Development)
Abstract In response to the issue of determining the appropriate capacity when hybrid energy storage systems (HESS) collaborate with thermal power units (TPU) in the system’s secondary frequency regulation, a configuration method for HESS based on the analysis of frequency regulation demand analysis is proposed. And a corresponding simulation platform is developed. Firstly, a frequency modulation demand method for reducing the frequency modulation losses of TPU is proposed. Secondly, taking into comprehensive consideration that flywheel energy storage features rapid power response and battery energy storage has the characteristic of high energy density, a coordinated control strategy… More >
Graphic Abstract
Open Access
ARTICLE
Xin Wan1, Shuyi Li2,3, Tiankui Guo2,3,*, Ming Chen2,3, Xing Yang2,3, Guchang Zhang2,3, Zi’ang Wang2,3
Energy Engineering, DOI:10.32604/ee.2025.066033
（This article belongs to the Special Issue: Integrated Geology-Engineering Simulation and Optimizationfor Unconventional Oil and Gas Reservoirs)
Abstract Hydraulic fracturing is a key technology for the efficient development of deep oil and gas reservoirs. However, fracture propagation behavior is influenced by rock elastoplasticity and thermal stress, making it difficult for traditional linear elastic models to accurately describe its dynamic response. To address this, this study employs the Continuum-Discontinuum Element Method (CDEM), incorporating an elastoplastic constitutive model, thermo-hydro-mechanical (THM) coupling effects, and cohesive zone characteristics at the fracture tip to establish a numerical model for hydraulic fracture propagation in deep elastoplastic reservoirs. A systematic investigation was conducted into the effects of fluid viscosity, reservoir… More >
Open Access
ARTICLE
Jikai Chen, Jiawei Wang, Jiayang Zhang, Shuangshuang Yao, Qianxin Li, Haoru Li*
Energy Engineering, DOI:10.32604/ee.2025.066620
（This article belongs to the Special Issue: Integrated Technology Development and Application of Wind Power Systems)
Abstract As a new dynamic reactive power compensator, the grid-forming Static Var Generator (GF-SVG) can not only provide reactive power-voltage support, but also has inertial support capability. It has been experimentally deployed in many wind farms. However, studies have shown that when the three-phase short-circuit fault occurs in the wind farm, the transient overcurrent during the fault occurrence and fault clearance is suppressed, making it difficult for GF-SVG to use traditional fixed virtual impedance. Aiming at the problem, firstly, the influence of virtual reactance on control stability is analyzed using the GF-SVG’s current open-loop transfer function.… More >
Open Access
ARTICLE
Mingchen Gao*
Energy Engineering, DOI:10.32604/ee.2025.065957
（This article belongs to the Special Issue: Advanced Analytics on Energy Systems)
Abstract Currently, the international economic situation is becoming increasingly complex, and there is significant downward pressure on the global economy. In recent years, China’s infrastructure sector has experienced rapid growth, with the structure of its power engineering business gradually shifting from traditional infrastructure construction to more diversified areas such as production and operation, as well as emergency repairs. As a result, the transformation of mechanized construction in power transmission and transformation projects has become increasingly urgent. This article proposes a post-evaluation model based on game theory to improve comprehensive weighting and fuzzy grey relational projection sorting,… More >
Open Access
ARTICLE
Cuiping Li1, Jiacheng Sun1, Qiang Li2, Qi Guo2, Junhui Li1,*, Shuo Yu2, Jingbo Wang2, Wenze Li2
Energy Engineering, DOI:10.32604/ee.2025.064440
Abstract The penetration rate of new wind and photovoltaic energy in the power system has increased significantly, and the dramatic fluctuation of the net load of the grid has led to a severe lack of flexibility in the regional grid. This paper proposes a hierarchical optimal dispatch strategy for a high proportion of new energy power systems that considers the balanced response of grid flexibility. Firstly, various flexibility resource regulation capabilities on the source-load side are analyzed, and then flexibility demand and flexibility response are matched, and flexibility demand response assessment is proposed; then, a hierarchical… More >
Open Access
ARTICLE
Zhenhao Wang1, Hongwei Li1,*, Dan Pang2, Jinming Ge1
Energy Engineering, DOI:10.32604/ee.2025.063615
Abstract Aiming at the problem of increasing the peak-to-valley difference of grid load and the rising cost of user charging caused by the disorderly charging of large-scale electric vehicles, this paper proposes a coordinated charging scheduling strategy for multiple types of electric vehicles based on the degree of urgency of vehicle use. First, considering the range loss characteristics, dynamic time-sharing tariff mechanism, and user incentive policy in the low-temperature environment of northern winter, a differentiated charging model is constructed for four types of vehicles: family cars, official cars, buses, and cabs. Then, we innovatively introduce the… More >
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