iEnergy最新文献 - Book学术

Power system carbon emission flow analysis considering multiple operating conditions for power sources 考虑电源多种工况的电力系统碳排放流分析

IF 5.1

iEnergy Pub Date : 2026-03-01 Epub Date: 2026-03-18 DOI: 10.23919/IEN.2026.0001

Chen Yang;Yaowang Li;Yuliang Liu;Yuan Leng;Zhilin Lu;Rongfeng Deng;Ning Zhang

{"title":"Power system carbon emission flow analysis considering multiple operating conditions for power sources","authors":"Chen Yang;Yaowang Li;Yuliang Liu;Yuan Leng;Zhilin Lu;Rongfeng Deng;Ning Zhang","doi":"10.23919/IEN.2026.0001","DOIUrl":"https://doi.org/10.23919/IEN.2026.0001","url":null,"abstract":"The real-time and accurate calculation of electricity indirect carbon emissions is not only the critical component for quantifying the carbon emission levels of the power system but also an effective mean to guide electricity users in carbon reduction and promote power industry low-carbon transformation. Fundamentally, calculating indirect carbon emissions involves allocating direct carbon emission data from the power source side, indicating that accurate indirect emission results rely on the precise measurement of power source emissions. However, existing research on indirect carbon emissions in large-scale power systems rarely accounts for variations in carbon emission characteristics under different operating conditions of power sources, such as rated/non-rated operating conditions and ramping up/down conditions, making it difficult to reflect source-side and load-side carbon emission information variation during providing ancillary services. Quadratic and exponential functions are proposed to characterize the energy consumption profiles of coal-fired and gas-fired power generation, respectively, to construct a refined carbon emission model for power sources. By leveraging the theory of power system carbon flow, we analyze how variable operating conditions of power sources impact indirect carbon emissions. Case studies demonstrate that changes in power source emissions under variable conditions have a significant effect on the indirect carbon emissions of power grids.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"5 1","pages":"22-29"},"PeriodicalIF":5.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11442983","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557353","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

An intra-string distributed and inter-string decentralized control method for hybrid series-parallel microgrids 串并联混合微电网串内分布式和串间分散控制方法

IF 5.1

iEnergy Pub Date : 2026-03-01 Epub Date: 2026-02-06 DOI: 10.23919/IEN.2026.0002

Xiaochao Hou;Jiatong He;Changgeng Li;Zexiong Wei;Kai Sun;Yunwei Li

{"title":"An intra-string distributed and inter-string decentralized control method for hybrid series-parallel microgrids","authors":"Xiaochao Hou;Jiatong He;Changgeng Li;Zexiong Wei;Kai Sun;Yunwei Li","doi":"10.23919/IEN.2026.0002","DOIUrl":"https://doi.org/10.23919/IEN.2026.0002","url":null,"abstract":"The hybrid series-parallel microgrid attracts more attention by combining the advantages of both the series-stacked voltage and parallel-expanded capacity. Low-voltage distributed generations (DGs) are connected in series to form the intra-string, and then multiple strings are interconnected in parallel. For the existing control strategies, both intra-string and inter-string depend on the centralized or distributed control with high communication reliance. It has limited scalability and redundancy under abnormal conditions. Alternatively, in this study, an intra-string distributed and inter-string decentralized control framework is proposed. Within the string, a few DGs close to the AC bus are the leaders to get the string power information and the rest DGs are the followers to acquire the synchronization information through the droop-based distributed consistency. Specifically, the output of the entire string has the active power-angular frequency <tex>$(omega-P)$</tex> droop characteristic, and the decentralized control among strings can be autonomously guaranteed. Moreover, the secondary control is designed to realize multi-mode objectives, including on/off-grid mode switching, grid-connected power interactive management, and off-grid voltage quality regulation. As a result, the proposed method has the ability of plug-and-play capabilities, single-point failure redundancy, and seamless mode-switching. Experimental results are provided to verify the effectiveness of the proposed practical solution.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"5 1","pages":"30-42"},"PeriodicalIF":5.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11373731","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557349","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

The world's first hybrid commutated converter has achieved commercial commissioning 世界上第一个混合整流变换器已经实现商业调试

IF 5.1

iEnergy Pub Date : 2026-03-01 Epub Date: 2026-03-18 DOI: 10.23919/IEN.2026.0009

Xuejiao Han;Lu Qu;Biao Zhao

引用次数: 0

Dynamic virtual power plants: A comprehensive review of architectures, control strategies, and grid support capabilities 动态虚拟电厂：架构、控制策略和电网支援能力的综合回顾

IF 5.1

iEnergy Pub Date : 2026-03-01 Epub Date: 2026-03-18 DOI: 10.23919/IEN.2026.0004

Navid Vafamand;Abbas Rabiee;Innocent Kamwa

引用次数: 0

Dependable dynamic capacity provision of wind-storage plants 可靠的风电场动态容量供给

IF 5.1

iEnergy Pub Date : 2026-03-01 Epub Date: 2026-02-06 DOI: 10.23919/IEN.2026.0006

Ziqi Shen;Wei Wei;Zhongjie Guo;Laijun Chen;Shengwei Mei

{"title":"Dependable dynamic capacity provision of wind-storage plants","authors":"Ziqi Shen;Wei Wei;Zhongjie Guo;Laijun Chen;Shengwei Mei","doi":"10.23919/IEN.2026.0006","DOIUrl":"https://doi.org/10.23919/IEN.2026.0006","url":null,"abstract":"Although wind energy is volatile, the output of a wind-storage plant is partially dispatchable, making it a promising paradigm on the generation side. A grid-friendly wind-storage plant ought to be able to continuously output the desired power over a certain period of time. This paper proposes a dependable dynamic capacity provision scheme of a wind-storage plant over a daily horizon. It stipulates a minimum number of periods during which the committed capacity must be fulfilled and a maximum mismatch during the remaining periods when the desired power output is not achievable. In the general case, the day-ahead piecewise constant capacity provision results in a two-stage stochastic program formulated as a mixed-integer linear program. Specifically, for constant capacity provision, a decomposition algorithm is developed to determine the global optimal solution, and the complexity grows linearly with the number of scenarios. Given the committed capacity trajectory, the real-time operation problem is modeled as a four-state stochastic dynamic program. The discrete state-action values are derived recursively via the principle of optimality. Real-time dispatch actions are generated by using the action-value tabular leveraging inexact ultra-short-term forecasts. Numerical tests over one year demonstrate that the proposed method successfully fulfills reliable operation on 355 days and achieve an optimality gap of 9.47% compared with the ex-post optimum, which is comparable to model predictive control using exact 2-3-hour-ahead wind power forecasts.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"5 1","pages":"55-70"},"PeriodicalIF":5.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11373733","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557364","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

Short-term photovoltaic output prediction based on spatial downscaling NWP data and CNN-iTransformer-LSTM model 基于空间降尺度NWP数据和cnn - ittransformer - lstm模型的短期光伏输出预测

IF 5.1

iEnergy Pub Date : 2026-03-01 Epub Date: 2026-03-18 DOI: 10.23919/IEN.2026.0008

Zhewen Hu;Ligang Du;Xin Zhang;Lei Zhang;Wei Hu

{"title":"Short-term photovoltaic output prediction based on spatial downscaling NWP data and CNN-iTransformer-LSTM model","authors":"Zhewen Hu;Ligang Du;Xin Zhang;Lei Zhang;Wei Hu","doi":"10.23919/IEN.2026.0008","DOIUrl":"https://doi.org/10.23919/IEN.2026.0008","url":null,"abstract":"To enhance the accuracy of short-term photovoltaic power output prediction and address issues such as insufficient spatial resolution of meteorological forecast data and weak generalization ability of models, this paper proposes a prediction method that integrates spatial downscaling meteorological data with a convolutional neural network (CNN)-iTransformer-long short-term memory (LSTM) model. First, the rime-optimized random forest regression algorithm (RIME-RF) is employed to perform spatial downscaling on numerical weather prediction (NWP) data, thereby improving its local applicability. Second, a CNN-iTransformer-LSTM hybrid prediction model is constructed. This model utilizes a CNN as a spatial feature extractor to capture local patterns in meteorological data, employs an iTransformer to model the global dependencies among multiple variables, and leverages an LSTM to enhance the learning of short-term temporal dynamic features, thereby achieving efficient collaborative mining of multi-scale features. Finally, experiments are conducted using actual data from a photovoltaic power station in Hebei, China, during various seasons and weather conditions. The results show that the proposed model outperforms the comparison models in terms of the root mean square error (RMSE), mean absolute error (MAE), and R<sup>2</sup>, maintaining high prediction accuracy and stability even under complex weather conditions such as overcast and rainy days. The downscaling process further enhances the prediction performance, verifying the effectiveness and practicality of this method.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"5 1","pages":"71-86"},"PeriodicalIF":5.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11442957","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557365","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

Frontcover Frontcover

IF 5.1

iEnergy Pub Date : 2026-03-01 Epub Date: 2026-03-18 DOI: 10.23919/iEnergy.2026.11442958

引用次数: 0

A programmable frequency scan algorithm based on harmonic balance 基于谐波平衡的可编程频率扫描算法

IF 5.1

iEnergy Pub Date : 2026-03-01 Epub Date: 2026-02-06 DOI: 10.23919/IEN.2026.0005

Lu Miao;Wenyan Jia;Jinchang Chen;Yang Yi;Shun Li;Qirong Jiang;Chongbin Zhao

引用次数: 0

Propagation characteristics of pressure waves caused by arc discharge in oil under impulse voltage 脉冲电压下油中电弧放电压力波的传播特性

IF 5.1

iEnergy Pub Date : 2026-03-01 Epub Date: 2026-03-18 DOI: 10.23919/IEN.2026.0007

Yuhang Li;Yuanxiang Zhou;Junguang Yin;Jianning Chen

{"title":"Propagation characteristics of pressure waves caused by arc discharge in oil under impulse voltage","authors":"Yuhang Li;Yuanxiang Zhou;Junguang Yin;Jianning Chen","doi":"10.23919/IEN.2026.0007","DOIUrl":"https://doi.org/10.23919/IEN.2026.0007","url":null,"abstract":"Arc faults within the transformers can generate sudden pressure surges, constituting significant hazards that may precipitate oil tank explosions and severely compromise power system stability. Conventional power-frequency arc discharge experiments encounter limitations in isolating pressure wave characteristics due to persistent gas generation and arc reignition. To circumvent these challenges, an oil-immersed impulse voltage discharge platform was conceived and engineered to investigate pressure wave propagation dynamics. A pressure numerical simulation model and theoretical model of oil-solid interface reflection and refraction were subsequently established to elucidate the pressure propagation mechanism. The experimental and simulation results show that the pressure wave generated by pulsed arc discharge in oil propagates radially in the form of spherical waves. Due to the viscous loss and wave front expansion of transformer oil, the peak pressure decays exponentially with distance, with a decay coefficient <tex>$beta=1.15$</tex>. When pressure waves encounter metal obstacles inside transformer oil, there are two propagation paths: direct transmission through and multiple reflections through, and a mode transformation of pressure waves occurs at the oil-solid interface, mainly propagating through obstacles in the form of transverse waves. This work quantitatively delineates the energy pressure wave coupling, propagation dynamics, and attenuation mechanisms, providing critical insights for assessing and mitigating arc fault-induced transformer explosion risks.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"5 1","pages":"87-96"},"PeriodicalIF":5.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11442961","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557361","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

Flexible resource allocation for power systems to maximize diversified values in resilience, carbon reduction and renewable energy consumption 电力系统的灵活资源配置，以最大限度地提高弹性、碳减排和可再生能源消耗的多样化价值

IF 5.1

iEnergy Pub Date : 2026-03-01 Epub Date: 2026-03-06 DOI: 10.23919/IEN.2026.0003

Zhaohong Bie;Yiheng Bian;Chenxing Yang

{"title":"Flexible resource allocation for power systems to maximize diversified values in resilience, carbon reduction and renewable energy consumption","authors":"Zhaohong Bie;Yiheng Bian;Chenxing Yang","doi":"10.23919/IEN.2026.0003","DOIUrl":"https://doi.org/10.23919/IEN.2026.0003","url":null,"abstract":"The energy transition inspired by carbon neutrality targets and the increasing threat of extreme events raise multi-objective development requirements for power systems. This paper proposes a multi-objective resource allocation model to determine the type, number and location of flexible resources to increase the values of resilience, carbon reduction and renewable energy consumption. To evaluate the values of resilience, a restoration model for transmission systems is established that considers the coordination of fossil-fuel generators, energy storage systems (ESSs) and renewable energy generators in building restoration paths. The collaborative power-carbon-tradable green certificate (TGC) market model is then applied to evaluate the resource values in terms of carbon reduction and renewable energy consumption. Finally, the model is formulated as a mixed-integer linear programming (MILP) with a nonconvex feasible domain, and the normalized normal constraint (NNC) method is applied to obtain approximate Pareto frontiers for decision makers. Case studies validate the effectiveness of the proposed model in improving multi-factor values and analyze the impact of resource regulation capacity on values of restoration and carbon reduction.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"5 1","pages":"43-54"},"PeriodicalIF":5.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11424272","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557363","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