IET Smart Grid最新文献_第4页

IF 2.7

IET Smart Grid Pub Date : 2026-04-03

引用次数: 0

Optimum Operation of Unbalanced AC Microgrid Using PEVs and DERs Scheduling With Time-Varying Loads 时变负荷下pev和DERs调度的不平衡交流微电网优化运行

IF 2.7

IET Smart Grid Pub Date : 2026-04-03 DOI: 10.1049/stg2.70081

Zeeshan Yousaf, Muhammad F. Nadeem, Ali Ahmed, Muhammad Nouman, Muhammad Akmal

{"title":"Optimum Operation of Unbalanced AC Microgrid Using PEVs and DERs Scheduling With Time-Varying Loads","authors":"Zeeshan Yousaf, Muhammad F. Nadeem, Ali Ahmed, Muhammad Nouman, Muhammad Akmal","doi":"10.1049/stg2.70081","DOIUrl":"10.1049/stg2.70081","url":null,"abstract":"The studies pertaining to scheduling of plug-in electric vehicles (PEVs) and distributed energy resources (DERs) in unbalanced AC microgrids (MGs) usually consider time varying lumped load models. This may lead to unrealistic values and inappropriate system support as unbalanced MGs have different loading levels for each phase. Therefore, in this paper optimal scheduling of DERs and PEVs is performed in 3-phase unbalanced AC MG whilst considering different per-phase loading levels of time-varying voltage dependent (TVVD) load models. At first, the impact of lumped loading and per phase loading approach on DERs scheduling in unbalanced AC MG is investigated for TVVD load models. Then, PEVs are connected in presence of DERs whilst considering per phase loading in case of all TVVD loads to minimise the generation cost and system losses. Enhanced grasshopper optimization algorithm (EGOA) is utilised to evaluate the optimum performance of unbalanced AC MG. The results demonstrate that the values obtained through a per-phase loading approach are more realistic and PEVs integration has a significant impact on cost reduction.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"9 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70081","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147696285","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

Q-Learning-Based Analysis of Auction Mechanisms for Balancing Power Market in a Power System With High Integration of VRE 基于q -学习的高VRE集成度电力系统平衡电力市场竞价机制分析

IF 3.1

IET Smart Grid Pub Date : 2026-03-27 DOI: 10.1049/stg2.70073

Bo Jie, Takao Tsuji, Jumpei Baba, Akiko Kumada

{"title":"Q-Learning-Based Analysis of Auction Mechanisms for Balancing Power Market in a Power System With High Integration of VRE","authors":"Bo Jie, Takao Tsuji, Jumpei Baba, Akiko Kumada","doi":"10.1049/stg2.70073","DOIUrl":"https://doi.org/10.1049/stg2.70073","url":null,"abstract":"Procuring balancing power economically in accordance with the integration of variable renewable energy sources (VRE) presents a significant challenge. To meet this challenge, control reserves for balancing power have been traded through markets in many countries. Given the experience of European countries in this regard, there are two mainstream auction mechanisms in the balancing power market: uniform-price and pay-as-bid auctions. For balancing power suppliers, one of the most important issues is how to determine the proper bidding strategy in the balancing power market to satisfy their profit-maximising goals. On the other hand, it has become a trend for various players to participate in the balancing market through Virtual Power Plants (VPPs). In this paper, the fundamental characteristics of the above two auction mechanisms for tertiary control reserves are examined using a numerical simulation for VPP players based on the recommended practice for automatic generation control (AGC30) developed by IEEJ. The bidding strategy of each VPP player in the balancing power market is modelled using the Q-learning algorithm to maximise the player's expected profit under the uncertainty of imbalance. The clearing points in the balancing power market with the two auction mechanisms are compared based on simulation results.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"9 1","pages":""},"PeriodicalIF":3.1,"publicationDate":"2026-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70073","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148282466","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 2.7

IET Smart Grid Pub Date : 2026-03-26

引用次数: 0

Fault Identification Method for Distribution Networks Based on Time–Frequency Spatial Fusion Matrix 基于时频空间融合矩阵的配电网故障识别方法

IF 2.7

IET Smart Grid Pub Date : 2026-03-26 DOI: 10.1049/stg2.70079

Weiping Liao, Weiping Wang, Aihui Wen, Xinhai Li, Xin Li, Chuang Meng

{"title":"Fault Identification Method for Distribution Networks Based on Time–Frequency Spatial Fusion Matrix","authors":"Weiping Liao, Weiping Wang, Aihui Wen, Xinhai Li, Xin Li, Chuang Meng","doi":"10.1049/stg2.70079","DOIUrl":"10.1049/stg2.70079","url":null,"abstract":"To address the issues of confusing local measurement point features and insufficient generalisation ability of traditional models in distribution network fault identification, this paper proposes a fault identification method integrating an optimisation mechanism and a gradient boosting model. First, based on the spatiotemporal propagation characteristics of fault signals, the method analyses the differences in propagation of travelling wave signals generated by operational disturbances and faults in the power grid. To accurately quantify the aforementioned spatiotemporal propagation laws, it extracts time–frequency domain statistical features from multiple measurement points across the entire network. These features include modal energy, central frequency, spectral entropy, frequency change rate, and sparsity index and constructs an anticonfusion feature matrix. Subsequently, the Whale Optimisation Algorithm is used to dynamically adjust the hyperparameters of XGBoost, thereby establishing the WO-XGBoost identification model. This enhances the accuracy and speed of the model during the identification process, enabling accurate identification of distribution network faults. Experimental results show the proposed method outperforms mainstream existing methods in both identification accuracy and training efficiency, offering reliable technical support for distribution network fault identification.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"9 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70079","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147666229","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

Optimisation Operation Strategy for Cascaded Small Hydropower Aggregation Virtual Power Plants Considering Hydro-Logical Processes 考虑水文过程的级联小水电聚合虚拟电厂优化运行策略

IF 2.7

IET Smart Grid Pub Date : 2026-03-23 DOI: 10.1049/stg2.70049

Nianchen Zheng, Yingjing He, Yangqing Dan, Kehao Yang, Yongzhi Zhou

{"title":"Optimisation Operation Strategy for Cascaded Small Hydropower Aggregation Virtual Power Plants Considering Hydro-Logical Processes","authors":"Nianchen Zheng, Yingjing He, Yangqing Dan, Kehao Yang, Yongzhi Zhou","doi":"10.1049/stg2.70049","DOIUrl":"10.1049/stg2.70049","url":null,"abstract":"Unlike large-scale hydropower plants, small hydropower stations typically have limited or even no reservoir capacity, making their flexibility in regulation highly sensitive to meteorological variability. The hydrological dynamic propagation across cascaded small hydropower stations significantly affects their output and inter-station coordination, which has often been overlooked in existing scheduling models. To address this gap, this paper proposes an optimised dispatch strategy for a virtual power plant (VPP) that aggregates cascaded small hydropower units with explicit modelling of hydrological processes. First, a flexibility quantification framework is developed by integrating reservoir and river channel storage capacities through the Xin'anjiang rainfall–runoff model and the Muskingum flow routing method, capturing the rainfall runoff and hydrological coupling within cascaded systems. Then, considering multiple uncertainties—precipitation, wind and solar power—the net load is used to represent their joint influence, and a Wasserstein distance-based distributionally robust stochastic optimisation model is established to manage these uncertainties. Finally, a case study based on a real river basin demonstrates that the proposed method significantly enhances operational performance: the VPP's total operating cost is reduced by 22.6%, net revenue increases by 57.1%, curtailment and load-shedding costs decrease by 9.5% and flexibility deficit costs are reduced by 68.0% compared with conventional scheduling. These results confirm that the proposed framework effectively leverages the unique flexibility of cascaded small hydropower and provides a robust and tractable solution for VPP operation under uncertainty.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"9 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147568147","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 2.7

IET Smart Grid Pub Date : 2026-03-23

引用次数: 0

IF 2.7

IET Smart Grid Pub Date : 2026-03-20

引用次数: 0

Bi-Level Optimisation of Topology and Energy Management for Distributed Coordinated Microgrid Clusters in Port Areas 港区分布式协调微电网集群拓扑与能量管理的双层优化

IF 2.7

IET Smart Grid Pub Date : 2026-03-20 DOI: 10.1049/stg2.70053

Yueyang Xu, Haijun Fu, Qiran Liu, Changli Shi, Jingyuan Yin, Tongzhen Wei

{"title":"Bi-Level Optimisation of Topology and Energy Management for Distributed Coordinated Microgrid Clusters in Port Areas","authors":"Yueyang Xu, Haijun Fu, Qiran Liu, Changli Shi, Jingyuan Yin, Tongzhen Wei","doi":"10.1049/stg2.70053","DOIUrl":"10.1049/stg2.70053","url":null,"abstract":"High penetration of renewable energy sources in multi-energy port systems leads to significant challenges in scheduling complexity, making it difficult to manage with a single microgrid. To address this issue, this paper focuses on applying distributed coordinated microgrid clusters to port scenarios, developing a port system architecture composed of multiple regions and microgrids. A bi-level optimisation scheme for topology and energy management is proposed to achieve efficient energy utilisation within the port microgrid system. The bi-level optimisation model comprises two layers: the upper-level topology optimisation aims at minimising construction costs and busbar stress, whereas the lower-level optimisation targets capacity allocation and energy management to minimise operational and maintenance costs. An improved Non-dominated Sorting Genetic Algorithm II (NSGA-II) is utilised to solve the optimisation problem. Additionally, the model accounts for the uncertainty associated with renewable energy generation. Simulation results demonstrate that the proposed optimisation approach satisfies local renewable energy integration requirements and meets port load demands. It exhibits notable advantages in terms of economic efficiency, renewable energy resource requirements, equipment capacity configuration, and hydrogen energy storage lifespan. Moreover, the optimised system maintains high self-sufficiency under extreme operational scenarios.","PeriodicalId":36490,"journal":{"name":"IET Smart Grid","volume":"9 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/stg2.70053","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147567647","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 2.7

IET Smart Grid Pub Date : 2026-03-18

引用次数: 0