{"title":"Towards complementary operations of offshore wind farm and photovoltaic array: A centralized reinforcement learning enabled control approach","authors":"Xiu-xing Yin, Meizhen Lei","doi":"10.1016/j.ijepes.2023.108973","DOIUrl":"https://doi.org/10.1016/j.ijepes.2023.108973","url":null,"abstract":"","PeriodicalId":430808,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125758349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Incorporating catastrophe insurance in power distribution systems investment and planning for resilience enhancement","authors":"Qianwen Hu, Gengfeng Li, Siyuan Sun, Z. Bie","doi":"10.1016/j.ijepes.2023.109438","DOIUrl":"https://doi.org/10.1016/j.ijepes.2023.109438","url":null,"abstract":"","PeriodicalId":430808,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"435 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116549160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Control and analysis of a fault-tolerant offshore HVDC link fed by a bipolar DC collection network","authors":"A. O. Almeida, P. Almeida, P. G. Barbosa","doi":"10.1016/j.ijepes.2023.109462","DOIUrl":"https://doi.org/10.1016/j.ijepes.2023.109462","url":null,"abstract":"","PeriodicalId":430808,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117229652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dynamical homotopy transient-based technique to improve the convergence of ill-posed power flow problem","authors":"Alisson Lima-Silva, F. Freitas","doi":"10.1016/j.ijepes.2023.109436","DOIUrl":"https://doi.org/10.1016/j.ijepes.2023.109436","url":null,"abstract":"","PeriodicalId":430808,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125283969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital twin-driven identification of fault situation in distribution networks connected to distributed wind power","authors":"Yikun Yin, Hou-he Chen, Xiangping Meng, Huiyang Xie","doi":"10.1016/j.ijepes.2023.109415","DOIUrl":"https://doi.org/10.1016/j.ijepes.2023.109415","url":null,"abstract":"","PeriodicalId":430808,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"8 Suppl 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117213694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jican Lin, Shenquan Liu, M. Tian, Min Huang, Gang Wang
{"title":"Power oscillation suppression of multi-VSG based on both consensus and model predictive control","authors":"Jican Lin, Shenquan Liu, M. Tian, Min Huang, Gang Wang","doi":"10.1016/j.ijepes.2023.109459","DOIUrl":"https://doi.org/10.1016/j.ijepes.2023.109459","url":null,"abstract":"","PeriodicalId":430808,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"181 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133079535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Faiza Qayyum, Harun Jamil, Faisal Jamil, Shabir Ahmed, Do-Hyeun Kim
{"title":"IoT-Orchestration based Nanogrid Energy Management System and Optimal Time-Aware Scheduling for Efficient Energy Usage in Nanogrid","authors":"Faiza Qayyum, Harun Jamil, Faisal Jamil, Shabir Ahmed, Do-Hyeun Kim","doi":"10.20944/preprints202202.0150.v1","DOIUrl":"https://doi.org/10.20944/preprints202202.0150.v1","url":null,"abstract":"The present era of the Internet of Things (IoT) having intelligent functionalities in solving problems pertaining to realtime mission-critical systems has brought an immense revolution in diverse fields including healthcare and navigation systems. However, to the best of our knowledge, the potential of IoT has not been fully exploited yet in the field of the energy sector. We argue that there is an immense need to shift the traditional mission-critical electric power system architecture to IoT-based fully orchestrated architecture in order to increase efficiency, as billions of investment is reserved for the energy sector globally. Since network orchestration deals with auomating the interaction between multiple components involved to execute a particular service, therefore, scheduling the relevant processes within strict deadlines becomes the core pillar of the architecture. The mission-critical systems with urgent task execution often suffer from issues of missing task deadlines. In this study, we present a novel IoT task orchestration architecture for efficient energy management of a nanogrid system that focuses on minimizing the use of nonrenewable energy resources and maximizing the use of renewable energy resources. Moreover, major components of IoT task orchestration such as task mapping and task scheduling are also enhanced using NLP and PSO optimization modules. The proposed task scheduling algorithm incorporates the optimized surplus time, and efficiently executes the energy management-related tasks contemplating to their types. The study utilizes sensors to obtain data from physical IoT devices, including photovoltaic (PV), Energy Storage System (ESS), and diesel generator (DG). The performance of the proposed model is evaluated using data set of nanogrid houses. The outcomes revealed that IoT-task orchestration has played a pivotal role in efficient energy management for nanogrid mission-critical system. Furthermore, the comparison with state-of-the-art scheduling algorithms showed that the task starvation rate is reduced to 16% and 12% when compared with RR and FEF algorithms, respectively.","PeriodicalId":430808,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117230111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Polymer Electrolyte Membrane Electrolyzer and Fuel Cell System Characterization for Power System Frequency Control*","authors":"Christian Peter, E. Vrettos, F. Büchi","doi":"10.36227/techrxiv.18667595.v1","DOIUrl":"https://doi.org/10.36227/techrxiv.18667595.v1","url":null,"abstract":"This work focuses on tests for control reserve of a novel Power-to-Gas-to-Power platform based on proton exchange membrane technologies and on pure oxygen instead of air in the re-electrification process. The technologies are intended as a further option to stabilize the power system, therefore, helping integrating renewable energy into the power system. The tests are based on the pre-qualification tests used by Swissgrid, but are not identical in order to capture the maximum dynamics by the plants. The main characteristics identified are the ramping capabilities of ±8% per unit per second for the electrolyzer system and ±33% per unit per second for the fuel cell system. The ramping capabilities are mainly limited by the underlying processes of polymer electrolyte membrane technologies. Additionally, the current and projected round-trip efficiencies for Power-to-Gas-to-Power of 39% in 2025 and 48% in 2040 are derived. Furthermore, during the successful tests, the usage of oxygen in the present Power-to-Gas and Gas-to-Power processes and its influence on the dynamics and the round-trip efficiency was assessed. In consequence, fundamental data on the efficiency and the dynamics of the Power-to-Gas-to-Power technologies is presented. This data can serve as basis for prospective assessments on the suitability of the technologies investigated for frequency control in power systems.","PeriodicalId":430808,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132837061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hierarchical Control Architecture of Co-located Hybrid Power Plants","authors":"Q. Long, K. Das, D. V. Pombo, P. Sørensen","doi":"10.36227/techrxiv.16571094.v1","DOIUrl":"https://doi.org/10.36227/techrxiv.16571094.v1","url":null,"abstract":"The utility-scale co-located hybrid power plants (HPPs) have been receiving attention globally due to enhanced controllability and efficient utilization of electrical infrastructure. While power plant control has been extensively studied for single-technology power plants in the past decades, how to control a co-located HPP that includes sub-plants with multiple technologies is yet to be well defined. To fill the gap, this paper proposes a novel hierarchical control architecture for co-located HPPs. This control architecture contains four control levels: asset control level, plant control level, HPP control level and HPP energy management system (EMS) level. The objective of HPP EMS level is to find optimal strategies for market participation, and the objective of HPP control level is to execute those strategies from the HPP EMS in real time. The interactions across the control hierarchy are firstly discussed in this paper, where attention is closely paid to interactions between HPP EMS level and HPP control level, and between HPP control level and plant control level. Novel strategies for control coordination are presented to ensure all the control levels work together without counteracting against each other. Frequency control and fault ride-through are two examples to demonstrate such control coordination.","PeriodicalId":430808,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123836901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"EV charging station monitoring framework—A case study of Croatia: Performance analysis and anomaly detection under pandemic situation","authors":"Demijan Grgić, V. Podobnik, T. Capuder","doi":"10.1016/j.ijepes.2022.108095","DOIUrl":"https://doi.org/10.1016/j.ijepes.2022.108095","url":null,"abstract":"","PeriodicalId":430808,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128259668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}