International Journal of Electrical Power & Energy Systems最新文献_第8页

Probabilistic scheduling of microgrid resilience: Integrating renewables, storages and demand response in unit commitment and reconfiguration 微电网弹性的概率调度：将可再生能源、存储和需求响应整合到单元承诺和重构中

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-30 DOI: 10.1016/j.ijepes.2025.110710

Dariush Sharafi Lari , Mehdi Nafar , Ali Reza Abbasi , Bahman Bahmani-Firouzi

{"title":"Probabilistic scheduling of microgrid resilience: Integrating renewables, storages and demand response in unit commitment and reconfiguration","authors":"Dariush Sharafi Lari , Mehdi Nafar , Ali Reza Abbasi , Bahman Bahmani-Firouzi","doi":"10.1016/j.ijepes.2025.110710","DOIUrl":"10.1016/j.ijepes.2025.110710","url":null,"abstract":"<div><div>Microgrids are essential for ensuring reliable electricity supply, especially during grid outages or extreme events. However, integrating renewable energy sources, managing fluctuating load demands, and addressing uncertainties in electricity prices introduce significant challenges in maintaining system resilience. This paper introduces a novel probabilistic scheduling framework for simultaneous unit commitment and network reconfiguration, integrating renewable energy sources, energy storage systems, and demand response programs into a unified optimization model. The framework explicitly addresses uncertainties related to renewable generation, load demand, and electricity prices, ensuring robust decision-making under real-world conditions. Additionally, the model incorporates emergency load curtailment contracts and adaptive load shedding to enhance resilience during critical conditions. The microgrid under study comprises wind turbines, micro-turbines, and battery storage systems, serving both critical and non-critical loads. The pelican optimization algorithm is employed as a solution tool to solve the optimization problem efficiently. Simulation results demonstrate significant improvements in microgrid performance, stability, and resilience, particularly under extreme conditions. By addressing critical research gaps in the integration of unit commitment, reconfiguration, and demand response, this study provides a comprehensive and adaptive solution for optimizing microgrid operations. The findings offer valuable insights for energy system planners and policymakers aiming to develop resilient and sustainable energy infrastructures.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110710"},"PeriodicalIF":5.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mathematical Modeling of Passive Techniques Designed for PT Ferroresonance Suppression PT铁谐振抑制被动技术的数学建模

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-30 DOI: 10.1016/j.ijepes.2025.110699

H. Tahami fard, S. Seyedtabaii

{"title":"Mathematical Modeling of Passive Techniques Designed for PT Ferroresonance Suppression","authors":"H. Tahami fard, S. Seyedtabaii","doi":"10.1016/j.ijepes.2025.110699","DOIUrl":"10.1016/j.ijepes.2025.110699","url":null,"abstract":"<div><div>Ferroresonance often inflicts severe damage on electrical equipment like potential transformers (PTs), surge arresters, and circuit breakers. In this paper, a new passive (P) technique using Cex (external parallel capacitor) is proposed and its performance is compared with the methods using Rex (parallel resistor), MOA (metal oxide arrester), Cn (grounding capacitance), Rn (grounding resistance), and Rcb (parallel to CB resistor) components. The mathematical models of the approaches are derived and their bifurcation diagrams for the peak voltage versus the method parameter are computed. The results indicate that the Rex, Rn, Cn, and Cex designs can effectively suppress the ferroresonance and limit the peak voltage to less than safe 2pu. However, since the Rex, Rn, and Cn methods disrupt the PT’s normal operation, those cannot be installed permanently and must be triggered by a ferroresonance detection module (FDM). Besides, the heat generated by the Rex and Rn methods is considered another disadvantage. As a result, the proposed Cex method with no heat generation, availability at power stations and not requiring FDM viewed as a prime choice. It is also shown that the level of the input voltage (E) that the method, under any initial conditions, can tolerate increases by the C<sub>Tx</sub>/C<sub>s</sub> ratio. The study was verified through numerous simulations where some have been presented as evidence.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110699"},"PeriodicalIF":5.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143891800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fault location scheme of HVDC converter based on fault loop analysis 基于故障环分析的高压直流变流器故障定位方案

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-29 DOI: 10.1016/j.ijepes.2025.110701

Dalin Mu , Guo Lei , Tingwei Xu , Haiqiang Zhang , Xiaopeng Li , Sheng Lin

{"title":"Fault location scheme of HVDC converter based on fault loop analysis","authors":"Dalin Mu , Guo Lei , Tingwei Xu , Haiqiang Zhang , Xiaopeng Li , Sheng Lin","doi":"10.1016/j.ijepes.2025.110701","DOIUrl":"10.1016/j.ijepes.2025.110701","url":null,"abstract":"<div><div>In order to solve the problem that multiple faults in the converter area will trigger the valve short-circuit protection action, and the fault location cannot be directly located according to the protection action result, a novel converter fault location method based on fault loop analysis is proposed. The fault characteristics of electrical quantity of 11 kinds of faults in the converter area under the valve short-circuit protection action are analyzed. It was found that the spatiotemporal difference of current and voltage under the converter valve blocking state is obvious when the faults occur in different locations. Based on this, a location criterion based on the integral feature of electrical quantity is designed to identify the fault positions in the converter area. The simulation model of a ± 800 kV UHVDC system is established. The verification results show that the proposed fault location method can accurately locate 11 typical faults in the converter area, which including AC side grounding/short-circuit faults, valve arm short-circuit faults, DC side grounding/short-circuit faults. The proposed method does not need to add additional measurement points, which has obvious engineering application prospects.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110701"},"PeriodicalIF":5.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Game-Theoretic approach for deep valley pricing strategy in the demand side 需求侧深谷定价策略的博弈论方法

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-29 DOI: 10.1016/j.ijepes.2025.110708

Meiling Ma , Dong Han , Hengyu Ren , Yanbing Jia

{"title":"A Game-Theoretic approach for deep valley pricing strategy in the demand side","authors":"Meiling Ma , Dong Han , Hengyu Ren , Yanbing Jia","doi":"10.1016/j.ijepes.2025.110708","DOIUrl":"10.1016/j.ijepes.2025.110708","url":null,"abstract":"<div><div>The introduction of large-scale renewable energy will inevitably bring significant challenges to the security and stability of power systems. Toward this end, this paper proposes a demand-side deep valley pricing (DVP) model based on game theory. First, we conduct the fuzzy affiliation-based deep valley period division by Fuzzy C Means (FCM). Subsequently, we leverage the Bayesian discriminant method to calculate the posterior probability of results to verify the proposed division method. The model incorporates a game-theoretic framework, elucidating dynamics between electric users and the utility company within the proposed DVP pricing regimen. In addition, the utility function of participators is calculated through the fluctuation of user demand load, and the Nash equilibrium (NE) is obtained using the inverse induction method. Finally, the effectiveness of the proposed DVP pricing strategy is validated by the simulation results, which can reduce the peak-to-valley difference of the load curve and promote the characteristics of users’ electricity consumption behavior.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110708"},"PeriodicalIF":5.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An interpretable machine learning method for fault diagnosis of oil-immersed transformers based on edge inference 基于边缘推理的可解释机器学习油浸变压器故障诊断方法

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-29 DOI: 10.1016/j.ijepes.2025.110647

Dong Hu , Yong Yang , Hao Dai , Chao Tang , Jufang Xie

{"title":"An interpretable machine learning method for fault diagnosis of oil-immersed transformers based on edge inference","authors":"Dong Hu , Yong Yang , Hao Dai , Chao Tang , Jufang Xie","doi":"10.1016/j.ijepes.2025.110647","DOIUrl":"10.1016/j.ijepes.2025.110647","url":null,"abstract":"<div><div>Intelligent diagnostic models using dissolved gas analysis are crucial for oil-immersed transformer fault diagnosis. However, the inherent “black box” nature of these models limits interpretability, and traditional methods that upload local data to central servers raise data security concerns. To address these issues, this study proposes an interpretable fault diagnosis model for edge deployment. First, a filtered feature extraction algorithm based on real domain rough set theory is proposed to optimize feature extraction before model input. Experimental results demonstrate that this algorithm enhances model performance and reduces inference time at the edge-end. Second, the hyperparameters of Extreme Gradient Boosting are automatically tuned using the Newton–Raphson optimizer. Compared with other diagnostic methods, the proposed model yields superior classification effect accuracy. Following edge-end inference, the SHapley Additive exPlanations method is employed to analyze feature impact on diagnostic results, visualizing the significance of different characteristic gases for fault types using SHAP values. Finally, the model’s robustness, reliability, and interpretability are validated through real cases, providing practical insights for transformer operation and maintenance.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110647"},"PeriodicalIF":5.0,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Configuration and dimension optimization of active power Filter in distribution networks using a Multi-Strategy improved algorithm 基于多策略改进算法的配电网有源滤波器配置与尺寸优化

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-28 DOI: 10.1016/j.ijepes.2025.110677

Tang Bo , Liang Haidong , Yue Xiwen , Zhu Ruijin

{"title":"Configuration and dimension optimization of active power Filter in distribution networks using a Multi-Strategy improved algorithm","authors":"Tang Bo , Liang Haidong , Yue Xiwen , Zhu Ruijin","doi":"10.1016/j.ijepes.2025.110677","DOIUrl":"10.1016/j.ijepes.2025.110677","url":null,"abstract":"<div><div>With the growing integration of electric vehicles, smart grids, and power electronics in power systems, harmonic distortion is becoming a pressing concern, degrading power quality and causing equipment issues that may lead to grid failures. Active Power Filters (APF) are extensively used in the field of harmonic suppression to proactively compensate for grid distortion caused by harmonic variations. In order to optimize the layout and capacity of APF connected to the grid, this paper proposes a hybrid Improved algorithm for the economic optimization of APF configurations. Initially, based on Beluga Whale Optimization, a multi-strategy Improved algorithm is introduced, and through verification on benchmark test functions, this method effectively improves convergence speed and accuracy. Subsequently, to achieve economically optimal conditions while meeting IEEE 519 standards, IBWO is employed to search for the installation positions and capacities of APF. Through practical validation, the Total Harmonic Distortion (THD) of each bus before APF installation exceeds 5%, and after optimization configuration, the THD of each bus falls below 5%. This significantly reduces grid distortion, meeting the standards for grid operation. The proposed method effectively ensures the safe and stable operation of the grid and equipment while providing reference for economically efficient configurations in other domains.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110677"},"PeriodicalIF":5.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal operation for hybrid AC and DC systems under typhoon disaster considering branch switching and frequency security 台风灾害下考虑支路切换和频率安全的交直流混合系统优化运行

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-27 DOI: 10.1016/j.ijepes.2025.110693

Changfeng Liao , Li He , Zhuangxi Tan , Bin Xie , Yong Li , Chaoyang Chen , Yijia Cao

{"title":"Optimal operation for hybrid AC and DC systems under typhoon disaster considering branch switching and frequency security","authors":"Changfeng Liao , Li He , Zhuangxi Tan , Bin Xie , Yong Li , Chaoyang Chen , Yijia Cao","doi":"10.1016/j.ijepes.2025.110693","DOIUrl":"10.1016/j.ijepes.2025.110693","url":null,"abstract":"<div><div>Offshore wind power offers significant advantages, including abundant wind resources; however, coastal power grids are vulnerable to damage from natural disasters such as typhoons. To address this issue, this paper proposes an optimal operation method for hybrid AC/DC systems with voltage source converters (VSCs) during extreme events. The model incorporates topology optimization to handle continuous structural changes in the system caused by such events. Frequency security constraints that are compatible with topology optimization are introduced to ensure system stability during extreme conditions, where low inertia and power imbalance are prominent issues. Considering the uncertainty and temporal sequence of extreme events, a rolling optimization approach is employed to derive the optimal scheduling for each period. The effectiveness of the proposed model is demonstrated using two hybrid AC/DC systems of different sizes. The results confirm that by simultaneously considering topology optimization and frequency security constraints, both economic efficiency and system security can be significantly improved.</div><div>© 2017 Elsevier Inc. All rights reserved.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110693"},"PeriodicalIF":5.0,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143876757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced insulator fault detection using optimized ensemble of deep learning models based on weighted boxes fusion 基于加权盒融合的深度学习模型优化集成增强绝缘子故障检测

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-26 DOI: 10.1016/j.ijepes.2025.110682

Stefano Frizzo Stefenon , Laio Oriel Seman , Gurmail Singh , Kin-Choong Yow

{"title":"Enhanced insulator fault detection using optimized ensemble of deep learning models based on weighted boxes fusion","authors":"Stefano Frizzo Stefenon , Laio Oriel Seman , Gurmail Singh , Kin-Choong Yow","doi":"10.1016/j.ijepes.2025.110682","DOIUrl":"10.1016/j.ijepes.2025.110682","url":null,"abstract":"<div><div>Fault identification in transmission line insulators is essential to keep the power system running. Using deep learning-based models combined with interpretative techniques can be an alternative to improve power grid inspections and increase their reliability. Based on that consideration, this paper proposes an optimized ensemble of deep learning models (OEDL) based on weighted boxes fusion (WBF), called OEDL-WBF, to enhance the fault detection of power grid insulators. The proposed model is hypertuned considering a tree-structured Parzen estimator (TPE), and interpretative results are provided using the eigenvector-based class activation map (Eigen-CAM) algorithm. The Eigen-CAM had better results than Grad-CAM, Activation-CAM, MaxActivation-CAM, and WeightedActivation-CAM. The multi-criteria optimization of the structure by TPE ensures that the appropriate hyperparameters of the you only look once (YOLO) model are used for object detection. With a mean average precision (mAP)@[0.5] of 0.9841 and mAP@[0.5:0.95] of 0.9722 the proposed OEDL-WBF outperforms other deep learning-based structures, such as YOLOv8, YOLOv9, YOLOv10, YOLOv11, and YOLOv12 in a benchmarking. The Eigen-CAM further helps to interpret the outcomes of the model.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110682"},"PeriodicalIF":5.0,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distribution network restoration with mobile resources dispatch: A simulation-based online dynamic programming approach 基于移动资源调度的配电网恢复：一种基于仿真的在线动态规划方法

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-26 DOI: 10.1016/j.ijepes.2025.110667

Mingxuan Li , Wei Wei , Yin Xu , Ying Wang , Shanshan Shi

{"title":"Distribution network restoration with mobile resources dispatch: A simulation-based online dynamic programming approach","authors":"Mingxuan Li , Wei Wei , Yin Xu , Ying Wang , Shanshan Shi","doi":"10.1016/j.ijepes.2025.110667","DOIUrl":"10.1016/j.ijepes.2025.110667","url":null,"abstract":"<div><div>Dispatching mobile resources such as repair crews and mobile emergency generators is essential for the rapid restoration of distribution systems after extreme events. However, the restoration process is affected by various uncertain factors including repair time, road condition, and newly observed failures, necessitating online decision-making in response to real-time information. This paper proposes a simulation-based online dynamic programming approach to provide real-time restoration actions considering the dispatch of mobile resources. Using an index-based priority rule as the base policy, the remaining cumulative loss at the current state and a given action is evaluated from online simulation. As the base policy is explicit, the simulation is efficient. Then, the action leading to the minimum cumulative loss is chosen. It is proven that such a strategy improves the performance of base policy. The proposed policy adapts to real-time information updates and does not rely on offline training, so incurs no data and convergence-related issues, which is important in restoration tasks where the historical data of extreme events is rare. The rolling optimization approach may not meet the requirement of online use, because routing mobile resources gives rise to large-scale discrete optimization problems. Case studies on 123-bus and 8500-bus systems demonstrate that the proposed method achieves higher efficiency and better performance compared with rolling horizon optimization.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110667"},"PeriodicalIF":5.0,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Risk-averse operation of microgrids in distribution systems with price-responsive demands 具有价格响应需求的配电系统中微电网的风险规避操作

IF 5 2区工程技术

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-25 DOI: 10.1016/j.ijepes.2025.110581

Seyed Saeed Fazlhashemi , Mohammad E. Khodayar , Mostafa Sedighizadeh , Mahdi Khodayar

{"title":"Risk-averse operation of microgrids in distribution systems with price-responsive demands","authors":"Seyed Saeed Fazlhashemi , Mohammad E. Khodayar , Mostafa Sedighizadeh , Mahdi Khodayar","doi":"10.1016/j.ijepes.2025.110581","DOIUrl":"10.1016/j.ijepes.2025.110581","url":null,"abstract":"<div><div>This paper introduces a decentralized, risk-averse operational framework for interconnected, unbalanced microgrids and the distribution system. Distribution system operation is modeled as a risk-averse optimization problem using conditional value-at-risk measures to enhance robustness against uncertainties in price-responsive demand bids. Microgrid operations are structured as scenario-based robust optimization problems, capturing the worst-case scenarios for demand and solar PV generation. Non-convex energy management problems within the distribution system and microgrids are reformulated as convex optimization problems using the moment relaxation technique. A decentralized scheme addresses heterogeneous uncertainties in microgrids and the distribution system. The framework is applied to two case studies: a distribution system connected to two microgrids and a modified IEEE 123-bus distribution system connected to four microgrids. The risk-averse optimization solution is compared to that of a stochastic programming approach. For the IEEE 123-bus system, the results show that introducing risk aversion decreases social welfare by 44.63% compared to the risk-neutral solution but improves the conditional value-at-risk by 44.04%. Additionally, the impacts of dispatchable resources, including energy storage and distributed generation, on operation cost, phase balancing, and uncertainty control at the main feeder are examined. It is shown that incorporating a statistical distance metric to regulate power flow at the main feeder decreases social welfare by 6.48%.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"168 ","pages":"Article 110581"},"PeriodicalIF":5.0,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0