Global Energy Interconnection最新文献

Short-term photovoltaic power forecasting based on a new hybrid deep learning model incorporating transfer learning strategy

IF 1.9

Global Energy Interconnection Pub Date : 2024-12-01 DOI: 10.1016/j.gloei.2024.11.010

Tiandong Ma , Feng Li , Renlong Gao , Siyu Hu , Wenwen Ma

{"title":"Short-term photovoltaic power forecasting based on a new hybrid deep learning model incorporating transfer learning strategy","authors":"Tiandong Ma , Feng Li , Renlong Gao , Siyu Hu , Wenwen Ma","doi":"10.1016/j.gloei.2024.11.010","DOIUrl":"10.1016/j.gloei.2024.11.010","url":null,"abstract":"<div><div>The accurate prediction of photovoltaic (PV) power generation is an important basis for hybrid grid scheduling. With the expansion of the scale of PV power plants and the popularization of distributed PV, this study proposes a multilayer PV power generation prediction model based on transfer learning to solve the problems of the lack of data on new PV bases and the low accuracy of PV power generation prediction. The proposed model, called DRAM, concatenates a dilated convolutional neural network (DCNN) module with a bidirectional long short-term memory (BiLSTM) module, and integrates an attention mechanism. First, the processed data are input into the DCNN layer, and the dilation convolution mechanism captures the spatial features of the wide sensory field of the input data. Subsequently, the temporal characteristics between the features are extracted in the BiLSTM layer. Finally, an attention mechanism is used to strengthen the key features by assigning weights to efficiently construct the relationship between the features and output variables. In addition, the power prediction accuracy of the new PV sites was improved by transferring the pre-trained model parameters to the new PV site prediction model. In this study, the pre-training of models using data from different source domains and the correlations between these pre-trained models and the target domain were analyzed.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 6","pages":"Pages 825-835"},"PeriodicalIF":1.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IoT-based green-smart photovoltaic system under extreme climatic conditions for sustainable energy development

IF 1.9

Global Energy Interconnection Pub Date : 2024-12-01 DOI: 10.1016/j.gloei.2024.11.006

Yufei Wang , Jia-Wei Zhang , Kaiji Qiang , Runze Han , Xing Zhou , Chen Song , Bin Zhang , Chatchai Putson , Fouad Belhora , Hajjaji Abdelowahed

{"title":"IoT-based green-smart photovoltaic system under extreme climatic conditions for sustainable energy development","authors":"Yufei Wang , Jia-Wei Zhang , Kaiji Qiang , Runze Han , Xing Zhou , Chen Song , Bin Zhang , Chatchai Putson , Fouad Belhora , Hajjaji Abdelowahed","doi":"10.1016/j.gloei.2024.11.006","DOIUrl":"10.1016/j.gloei.2024.11.006","url":null,"abstract":"<div><div>To realize carbon neutrality, there is an urgent need to develop sustainable, green energy systems (especially solar energy systems) owing to the environmental friendliness of solar energy, given the substantial greenhouse gas emissions from fossil fuel-based power sources. When it comes to the evolution of intelligent green energy systems, Internet of Things (IoT)-based green-smart photovoltaic (PV) systems have been brought into the spotlight owing to their cutting- edge sensing and data-processing technologies. This review is focused on three critical segments of IoT-based green-smart PV systems. First, the climatic parameters and sensing technologies for IoT-based PV systems under extreme weather conditions are presented. Second, the methods for processing data from smart sensors are discussed, in order to realize health monitoring of PV systems under extreme environmental conditions. Third, the smart materials applied to sensors and the insulation materials used in PV backsheets are susceptible to aging, and these materials and their aging phenomena are highlighted in this review. This review also offers new perspectives for optimizing the current international standards for green energy systems using big data from IoT-based smart sensors.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 6","pages":"Pages 836-856"},"PeriodicalIF":1.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing microgrid renewable energy integration at SEKEM farm

IF 1.9

Global Energy Interconnection Pub Date : 2024-12-01 DOI: 10.1016/j.gloei.2024.11.003

Mohamed M. Reda , Mohamed I. Elsayed , M.A. Moustafa Hassan , Hatem M. Seoudy

{"title":"Enhancing microgrid renewable energy integration at SEKEM farm","authors":"Mohamed M. Reda , Mohamed I. Elsayed , M.A. Moustafa Hassan , Hatem M. Seoudy","doi":"10.1016/j.gloei.2024.11.003","DOIUrl":"10.1016/j.gloei.2024.11.003","url":null,"abstract":"<div><div>This study explores the feasibility of implementing a hybrid microgrid system powered by renewable energy sources. Including solar photovoltaics, wind energy, and fuel cells to ensure a reliable and sustainable electricity supply for the SEKEM farm in WAHAT, Egypt. The study utilizes MATLAB/Simulink software to conduct simulations based on sun irradiation and wind speed data. Various control techniques, such as the proportional-integral (PI) controller, Fuzzy Logic Controller for PI tuning (fuzzy-PI), and neuro-fuzzy controllers, were evaluated to improve the performance of the microgrid. The results demonstrate that the Fuzzy-PI control strategy outperforms the alternative control systems, enhancing the overall dependability and long-term viability of energy provision. The hybrid system was integrated with a voltage source control (VSC) and fuzzy PI controller, which effectively addressed power fluctuations and improved the stability and reliability of the energy supply. Furthermore, it provides insightful information on how to design and implement a 100% renewable energy system, with the fuzzy PI controller emerging as a viable method of control that can guarantee the system’s resilience and outperform other approaches, such as the standalone PI controller and the neuro-fuzzy controller.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 6","pages":"Pages 761-772"},"PeriodicalIF":1.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fuzzy multi-criteria decision-making method-based operational assessment of Chinese electricity markets

IF 1.9

Global Energy Interconnection Pub Date : 2024-12-01 DOI: 10.1016/j.gloei.2024.11.005

Weijie Wu , Dongwei Li , Hui Sun , Yixin Li , Yining Zhang

{"title":"Fuzzy multi-criteria decision-making method-based operational assessment of Chinese electricity markets","authors":"Weijie Wu , Dongwei Li , Hui Sun , Yixin Li , Yining Zhang","doi":"10.1016/j.gloei.2024.11.005","DOIUrl":"10.1016/j.gloei.2024.11.005","url":null,"abstract":"<div><div>The evaluation of the electricity market is crucial for fostering market construction and development. An accurate assessment of the electricity market reveals developmental trends, identifies operational issues, and contributes to stable and healthy market growth. This study investigated the characteristics of electricity markets in different provinces and synthesized a comprehensive set of evaluation indicators to assess market effectiveness. The evaluation framework, comprising nine indicators organized into two tiers, was constructed based on three aspects: market design, market efficiency, and developmental coordination. Furthermore, a novel fuzzy multi-criteria decision-making evaluation model for electricity market performance was developed based on the Fuzzy-BWM and fuzzy COPRAS methodologies. This model aimed to ensure both accuracy and comprehensiveness in market operation assessment. Subsequently, empirical analyses were conducted on four typical provincial-level electricity markets in China. The results indicate that Guangdong’s electricity market performed best because of its effective balance of stakeholder interests and adherence to contractual integrity principles. Zhejiang and Shandong ranked second and third, respectively, whereas Sichuan exhibited the poorest market performance. Sichuan’s electricity market must be improved in terms of market design, such that market players can obtain a fairly competitive environment. The sensitivity analysis of the constructed indicators verified the effectiveness of the evaluation model proposed in this study. Finally, policy recommendations were proposed to facilitate the sustainable development of China’s electricity markets with the objective of transforming them into efficient and secure markets adaptable to the evolution of novel power systems.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 6","pages":"Pages 733-748"},"PeriodicalIF":1.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal day-ahead scheduling strategy of microgrid considering regional pollution and potential load curtailment

IF 1.9

Global Energy Interconnection Pub Date : 2024-12-01 DOI: 10.1016/j.gloei.2024.11.008

Xinghua Xie , Hejun Yang , Bo Wang , Yinghao Ma , Dabo Zhang , Yuming Shen

{"title":"Optimal day-ahead scheduling strategy of microgrid considering regional pollution and potential load curtailment","authors":"Xinghua Xie , Hejun Yang , Bo Wang , Yinghao Ma , Dabo Zhang , Yuming Shen","doi":"10.1016/j.gloei.2024.11.008","DOIUrl":"10.1016/j.gloei.2024.11.008","url":null,"abstract":"<div><div>With the frequent occurrence of global warming and extreme severe weather, the transition of energy to cleaner, and with lower carbon has gradually become a consensus. Microgrids can integrate multiple energy sources and consume renewable energy locally. The amount of pollutants emitted during the operation of the microgrids become an important issue to be considered. This study proposes an optimal day-ahead scheduling strategy of microgrid considering regional pollution and potential load curtailment. First, considering the operating characteristics of microgrids in islanded and grid- connected operation modes, this study proposes a regional pollution index (RPI) to quantify the impact of pollutants emitted from microgrid on the environment, and further proposes a penalty mechanism based on the RPI to reduce the microgrid’s utilization on non-clean power supplies. Second, considering the benefits of microgrid as the operating entity, utilizing a direct load control (DLC) enables microgrid to enhance power transfer capabilities to the grid under the penalty mechanism based on RPI. Finally, an optimal day-ahead scheduling strategy which considers both the load curtailment potential of curtailable loads and RPI is proposed, and the results show that the proposed optimal day-ahead scheduling strategy can effectively inspire the curtailment potential of curtailable loads in the microgrid, reducing pollutant emissions from the microgrid.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 6","pages":"Pages 749-760"},"PeriodicalIF":1.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Two-stage power system restoration model

IF 1.9

Global Energy Interconnection Pub Date : 2024-12-01 DOI: 10.1016/j.gloei.2024.11.012

Hong Yang , Zhen Tang , Wei Wang , Zhihang Xue

引用次数: 0

Research on decision-making behavior of multi-agent alliance in cross-border electricity market environment: an evolutionary game

IF 1.9

Global Energy Interconnection Pub Date : 2024-12-01 DOI: 10.1016/j.gloei.2024.11.009

Zhao Luo , Chenming Dong , Xinrui Dai , Hua Wang , Guihong Bi , Xin Shen

引用次数: 0

Flexible linear clock–based distributed self-triggered active power-sharing secondary control of AC microgrids

IF 1.9

Global Energy Interconnection Pub Date : 2024-12-01 DOI: 10.1016/j.gloei.2024.11.004

Yulin Chen , Xing Huang , Guangxin Zhi , Shaohua Yang , Hongxun Hui , Donglian Qi , Yunfeng Yan , Fengkai Gao

{"title":"Flexible linear clock–based distributed self-triggered active power-sharing secondary control of AC microgrids","authors":"Yulin Chen , Xing Huang , Guangxin Zhi , Shaohua Yang , Hongxun Hui , Donglian Qi , Yunfeng Yan , Fengkai Gao","doi":"10.1016/j.gloei.2024.11.004","DOIUrl":"10.1016/j.gloei.2024.11.004","url":null,"abstract":"<div><div>Traditional active power sharing in microgrids, achieved by the distributed average consensus, requires each controller to continuously trigger and communicate with each other, which is a wasteful use of the limited computation and communication resources of the secondary controller. To enhance the efficiency of secondary control, we developed a novel distributed self-triggered active power-sharing control strategy by introducing the signum function and a flexible linear clock. Unlike continuous communication–based controllers, the proposed self-triggered distributed controller prompts distributed generators to perform control actions and share information with their neighbors only at specific time instants monitored by the linear clock. Therefore, this approach results in a significant reduction in both the computation and communication requirements. Moreover, this design naturally avoids Zeno behavior. Furthermore, a modified triggering condition was established to achieve further reductions in computation and communication. The simulation results confirmed that the proposed control scheme achieves distributed active power sharing with very few controller triggers, thereby substantially enhancing the efficacy of secondary control in MGs.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 6","pages":"Pages 786-797"},"PeriodicalIF":1.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis and construction of evaluation index system of inter-provincial electricity spot markets

IF 1.9

Global Energy Interconnection Pub Date : 2024-12-01 DOI: 10.1016/j.gloei.2024.11.001

Hao Yue , Yu Zhang , Jiahao Guo , Yang Hu , Chengmei Wei , Heping Jia , Dunnan Liu , Dunjian Xie

{"title":"Analysis and construction of evaluation index system of inter-provincial electricity spot markets","authors":"Hao Yue , Yu Zhang , Jiahao Guo , Yang Hu , Chengmei Wei , Heping Jia , Dunnan Liu , Dunjian Xie","doi":"10.1016/j.gloei.2024.11.001","DOIUrl":"10.1016/j.gloei.2024.11.001","url":null,"abstract":"<div><div>Because of the contradiction between the scale of new energy installations and the continuous load growth in the central and eastern regions of China, the balance problems of the electricity market are becoming increasingly prominent, and it is urgent to solve such problems through inter-provincial electricity spot markets. First, the development history and construction status of the inter-provincial electricity spot market are summarized; second, the mechanism design of the inter-provincial electricity spot market is sorted out in terms of the market operation framework, transaction declaration, and clearing methods; subsequently, the evaluation index system of the inter-provincial electricity spot market is constructed, including four themes of electricity mutual aid and support, new energy consumption, economic benefits of market-based allocation, and social benefits of market-based allocation; finally, the operation of the inter-provincial electricity spot market is comprehensively analyzed by the algorithm based on the market operation data of 2022, which proves the feasibility and practicality of the proposed index system.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 6","pages":"Pages 697-706"},"PeriodicalIF":1.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model simulation of thermal environment and energy effects of rooftop distributed photovoltaics

IF 1.9

Global Energy Interconnection Pub Date : 2024-12-01 DOI: 10.1016/j.gloei.2024.11.007

Hai Zhou , Weidong Chen , Siyu Hu , Fan Yang

{"title":"Model simulation of thermal environment and energy effects of rooftop distributed photovoltaics","authors":"Hai Zhou , Weidong Chen , Siyu Hu , Fan Yang","doi":"10.1016/j.gloei.2024.11.007","DOIUrl":"10.1016/j.gloei.2024.11.007","url":null,"abstract":"<div><div>Rooftop distributed photovoltaic (DPV) systems show promise for alleviating the energy crisis resulting from summer urban cooling demands and mitigating secondary hazards associated with urban heat islands. In this study, a parametric scheme for rooftop DPVs was incorporated into the Weather, Research and Forecasting model. The period from August 12–16, 2022, during a heatwave in Jiangsu Province, China, was selected as the weather background to simulate the impact of rooftop DPVs with varying power generation efficiencies on urban thermal environments and energy supply. The results indicate that (1) rooftop DPVs reduce urban air temperatures at 2 m by weakening the solar radiation reaching the surface. As solar panel efficiency improves, the cooling effects become more significant, particularly at night. Day and night air temperatures at 2 m can decrease by approximately 0.1 °C–0.4 °C and 0.2°C–0.7 °C, respectively; (2) Installing rooftop DPVs can lower boundary layer temperatures, with pronounced cooling effects during the day (up to 0.7 °C at 08:00) and night (up to 0.6 °C at 20:00); (3) If all buildings are equipped with rooftop DPVs, the electricity generated could meet Jiangsu Province’s total electricity demand during heatwaves. With 30% generation efficiency and rooftop DPVs installed at 40% of buildings, the electricity produced can meet the entire electricity demand.</div></div>","PeriodicalId":36174,"journal":{"name":"Global Energy Interconnection","volume":"7 6","pages":"Pages 723-732"},"PeriodicalIF":1.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0