IET Energy Systems Integration最新文献_第5页

Optimal Capacity Configuration of Park Integrated Energy Systems With Inter-Seasonal Flexible Load Participation Characteristics 具有跨季节柔性负荷参与特征的园区综合能源系统最优容量配置

IF 1.7

IET Energy Systems Integration Pub Date : 2026-01-12 DOI: 10.1049/esi2.70029

Zuoxia Xing, Zhi Zhu, Shoulian Yang, Hao Sun, Jiayao Wang

{"title":"Optimal Capacity Configuration of Park Integrated Energy Systems With Inter-Seasonal Flexible Load Participation Characteristics","authors":"Zuoxia Xing, Zhi Zhu, Shoulian Yang, Hao Sun, Jiayao Wang","doi":"10.1049/esi2.70029","DOIUrl":"https://doi.org/10.1049/esi2.70029","url":null,"abstract":"This study introduces an optimised capacity configuration for park integrated energy systems (PIES) to boost energy efficiency, ensure power supply reliability and economy, and advance low-carbon operations. The approach integrates seasonal aspects and flexible load participation's impact on renewable energy absorption, using an enhanced K-means clustering algorithm with mixed-integer linear programming. It includes: (1) creating a probability density model from wind and solar data to categorise power generation scenarios across seasons; (2) integrating flexible loads into PIES optimisation, analysing technology combinations and output distributions; (3) developing a model for electricity, heat, and multi-energy coupling to assess cross-seasonal supply-demand matching; (4) establishing an optimisation model for inter-seasonal energy storage considering operational costs. Case studies confirm the benefits of seasonal factors, flexible load participation, energy coupling, storage, and seasonal dispatch on PIES efficiency and economy.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"8 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146002167","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

IF 1.7

IET Energy Systems Integration Pub Date : 2026-01-09

引用次数: 0

The Evaluation Indexes and Defence Methods of Critical Information Nodes in Power Information Physical System Considering False Data Injection Attack Propagation 考虑假数据注入攻击传播的电力信息物理系统关键信息节点评估指标及防御方法

IF 1.7

IET Energy Systems Integration Pub Date : 2026-01-09 DOI: 10.1049/esi2.70027

Xinrui Liu, Zhuofan Shi, Rui Wang, Shufeng Gai, Min Hou, Qiuye Sun

{"title":"The Evaluation Indexes and Defence Methods of Critical Information Nodes in Power Information Physical System Considering False Data Injection Attack Propagation","authors":"Xinrui Liu, Zhuofan Shi, Rui Wang, Shufeng Gai, Min Hou, Qiuye Sun","doi":"10.1049/esi2.70027","DOIUrl":"https://doi.org/10.1049/esi2.70027","url":null,"abstract":"False data injection (FDI) attacks pose a great threat to the safe operation of power grid. By attacking nodes with weak defences, high transmission risks and high returns, attackers can cause more damage to the power grid with limited resources. Therefore, it is of great significance to evaluate these critical nodes for active defence of power grid. This paper presents an evaluation index and defence method of critical information node. Firstly, by establishing an FDI attack model, information system model and attack propagation model, quantitative analysis is carried out on basic indicators, such as attack return, attack success probability, transmission risk, transmission intensity and correlation, between attack return and transmission risk of information nodes under FDI attack scene. According to the attack detected and no attack detected scenes, the basic evaluation indexes were selected, respectively, to establish a comprehensive evaluation index. Finally, based on the comprehensive evaluation index, two defence methods are proposed to improve the power grid's ability to resist FDI attacks, respectively, applicable to detected attacks and undetected attacks. The effectiveness of the proposed evaluation index and defence method is verified by the simulation results of IEEE57 nodes system.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"8 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70027","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145964098","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

Distributionally Robust Optimal Dispatching for Electric Vehicle-Integrated Chance Constrained Economic Dispatch Model 集成机会约束的电动汽车分布鲁棒最优调度模型

IF 1.7

IET Energy Systems Integration Pub Date : 2026-01-08 DOI: 10.1049/esi2.70023

He Huang, Ciwei Gao, Hao Ming, Xinyi Liang, Jing Meng, Yurui Xia

{"title":"Distributionally Robust Optimal Dispatching for Electric Vehicle-Integrated Chance Constrained Economic Dispatch Model","authors":"He Huang, Ciwei Gao, Hao Ming, Xinyi Liang, Jing Meng, Yurui Xia","doi":"10.1049/esi2.70023","DOIUrl":"https://doi.org/10.1049/esi2.70023","url":null,"abstract":"The growing penetration of renewable energy sources and the electrification of transportation have introduced significant challenges in power system operations, including renewable intermittency, forecast uncertainties and increased peak demand. This paper presents an electric vehicle-integrated chance-constrained economic dispatch (EV-Integrated CCED) model, a novel framework that integrates electric vehicles (EVs) as distributed, bidirectional energy storage resources to address these issues. Unlike traditional models, the proposed approach incorporates a distributionally robust optimisation framework to handle uncertainties in renewable generation and net load forecasts, ensuring reliable and cost-efficient operation even under worst-case scenarios. By dynamically scheduling EV charging and discharging activities, the model enhances grid flexibility, optimises renewable energy utilisation and minimises operational costs. Numerical studies on the 8-zone ISO-NE test system demonstrate the model's ability to significantly outperform traditional methods, showcasing its potential for modern power systems transitioning to a clean and electrified energy future.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"8 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70023","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145986779","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

IF 1.7

IET Energy Systems Integration Pub Date : 2026-01-08

引用次数: 0

Integrating Iterative Correlation Stability Analysis and Metaheuristic Hyperparameter Optimisation to Accelerate Data-Driven Modelling: A Case Study of Wind Power Forecasting 整合迭代相关稳定性分析和元启发式超参数优化加速数据驱动建模：风电预测案例研究

IF 1.7

IET Energy Systems Integration Pub Date : 2026-01-05 DOI: 10.1049/esi2.70028

Nitikorn Junhuathon, Keerati Chayakulkheeree

{"title":"Integrating Iterative Correlation Stability Analysis and Metaheuristic Hyperparameter Optimisation to Accelerate Data-Driven Modelling: A Case Study of Wind Power Forecasting","authors":"Nitikorn Junhuathon, Keerati Chayakulkheeree","doi":"10.1049/esi2.70028","DOIUrl":"https://doi.org/10.1049/esi2.70028","url":null,"abstract":"This study proposes a two-stage methodological framework that simultaneously expedites model training and enhances predictive fidelity in wind power forecasting. In the first stage, input dimensionality is reduced through an initial correlation coefficient screening, followed by an iterative correlation stability analysis that retains only those instances exhibiting robust and persistent associations with the target variable. In the second stage, the hyperparameters of nonlinear autoregressive models with exogenous inputs are optimally calibrated via a grey wolf optimiser employing integer encoding. Empirical assessments conducted on extensive wind speed and wind power time series reveal that the streamlined feature set, coupled with optimised hyperparameters, reduces training time substantially while yielding superior forecasting accuracy relative to conventional baselines. Moreover, the refined wind speed estimates propagate to wind-power predictions, delivering additional performance gains. The findings corroborate the efficacy of integrating rigorous dimensionality reduction with metaheuristic hyperparameter tuning for data-driven wind power forecasting.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"8 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70028","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145909159","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

IF 1.7

IET Energy Systems Integration Pub Date : 2026-01-05

引用次数: 0

Unscented Kalman Filter With Enhanced Generalised Cross Correlation Entropy for Robust State Estimation of Power System 基于增强广义相关熵的无气味卡尔曼滤波器的电力系统鲁棒状态估计

IF 1.7

IET Energy Systems Integration Pub Date : 2026-01-04 DOI: 10.1049/esi2.70026

Liangzheng Wu, Taofei Ku, Kaiman Li, Peifeng Chen

{"title":"Unscented Kalman Filter With Enhanced Generalised Cross Correlation Entropy for Robust State Estimation of Power System","authors":"Liangzheng Wu, Taofei Ku, Kaiman Li, Peifeng Chen","doi":"10.1049/esi2.70026","DOIUrl":"https://doi.org/10.1049/esi2.70026","url":null,"abstract":"To solve the complex scenarios, such as multimodal noise, bad measurement data and sudden load changes, in the power system, the enhanced generalised cross correlation entropy unscented Kalman filter (EnGCCE-UKF) method is proposed in this paper. This method replaces the mean square error (MSE) criterion of the traditional UKF with the generalised cross correlation entropy (GCCE) criterion and obtains the optimal solution by optimising the state estimation cost function, significantly improving the robustness and estimation accuracy in the non-Gaussian noise environment. Considering the interference of bad measurement data on the information matrix, the strong filtering tracking (SFT) theory is further embedded in the GCCE-UKF framework. By dynamically adjusting the information matrix to suppress the influence of abnormal factors, the anti-interference ability of the algorithm is enhanced. This method integrates the state and measurement error into the cost function of the EnGCCE by using the statistical linearisation technique and recursively updates the posterior estimation and covariance matrix with the help of the fixed-point iterative algorithm. Verified through multiscenario experiments and comparative analysis, the proposed method has shown good effectiveness in power systems of three scales.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"8 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70026","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145904634","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

IF 1.7

IET Energy Systems Integration Pub Date : 2026-01-04

引用次数: 0

Scheduling of Aggregate Electric Water Heaters Considering Time-Shifting Potential of Water-Using Activities 考虑用水活动时移潜力的集热器调度

IF 1.7

IET Energy Systems Integration Pub Date : 2025-12-22 DOI: 10.1049/esi2.70025

Yu-Qing Bao, Ding Wang, Zhong-Hui Zuo

{"title":"Scheduling of Aggregate Electric Water Heaters Considering Time-Shifting Potential of Water-Using Activities","authors":"Yu-Qing Bao, Ding Wang, Zhong-Hui Zuo","doi":"10.1049/esi2.70025","DOIUrl":"10.1049/esi2.70025","url":null,"abstract":"Due to the excellent thermal storage capacity, electric water heaters (EWHs) have significant scheduling potential in peak-load shaving and accommodating fluctuations of renewable energy. However, traditional scheduling methods for EWHs mainly focus on optimising electrical power while neglecting the shifting flexibility of water-using activities. This paper proposes a scheduling method of aggregate EWHs that considers the shifting flexibility of water-using activities. Based on the thermodynamic analysis of EWHs, the shifting range boundary for aggregate EWHs is obtained by considering the permissible shifting time range of water-using activities of individual EWH. By this way, the scheduling model for the aggregate EWHs considering shifting flexibility of water-using activities is established, achieving joint scheduling of the aggregate water flow-rate and the aggregate electrical power. In addition, a joint decomposition method for aggregate water flow-rate and aggregate electrical power is designed. Finally, the aggregate scheduling results are decomposed into the water flow-rate and electric power of individual EWH, which provides a basis for the response of individual EWH. Case studies validate the effectiveness of the proposed method from three aspects: aggregate modelling, optimal scheduling and scheduling result decomposition of EWHs.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"7 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70025","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145824961","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