{"title":"Large-Scale Battery Inverter and Energy Capacity Sizing for Frequency Control Ancillary Services With High Share of Solar-PV Generation: A Data-Driven Approach","authors":"Mingchen Gu, Hui Song, Chen Liu, Lasantha Meegahapola, Mahdi Jalili, Xinghuo Yu, George Dickson","doi":"10.1049/esi2.70003","DOIUrl":"10.1049/esi2.70003","url":null,"abstract":"<p>Power generation from inverter-based renewable energy sources (RESs), such as solar photovoltaics (PVs), is increasing rapidly in power systems while leading to operational challenges such as frequency regulation. Battery energy storage systems (BESS) have attracted much attention in providing frequency control ancillary services (FCAS), as they provide flexibility to store and release energy when required. With a larger inverter size and energy capacity, BESS can provide more frequency support to the grid but will incur large capital costs. Thus, it is important to minimise the size of the battery while ensuring system security requirements are fulfilled. In this paper, a large-scale BESS sizing framework is developed to obtain the optimal battery inverter size and energy capacity. The proposed framework determines the battery size based on two aspects: (i) contingency frequency control ancillary services (C-FCAS) to provide primary frequency support after a generator outage event and (ii) regulating frequency control ancillary service (R-FCAS) to match the power imbalance caused by the normal variation of load demand and RES generation. This paper also investigates the highest RES penetration level and the largest number of synchronous generators (SGs) that can be simultaneously reduced as the share of RESs increases. The effectiveness of the developed large-scale BESS sizing framework is tested on the Alice Springs power grid in Northern Territory, Australia. According to the study, the FCAS battery designed based on the proposed framework can fulfil the frequency support requirements under high solar-PV penetration in the Alice Springs power grid while significantly reducing the dependency on synchronous generators.</p>","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"7 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143784310","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}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"7 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148065822","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":"Real-Time Cyberattack Detection for SCADA in Power System","authors":"Botta Prudhvi, Prashant Khare, Maddikara Jaya Bharata Reddy","doi":"10.1049/esi2.70005","DOIUrl":"10.1049/esi2.70005","url":null,"abstract":"<p>Supervisory Control and Data Acquisition (SCADA) systems monitor and control industrial processes, but their integration with information technology and network connectivity, including the internet, exposes them to potential cyber threats. As SCADA systems become essential infrastructure, their vulnerability to cyber-attacks has increased, necessitating a comprehensive understanding of potential risks. This paper presents a laboratory setup mimicking a real-world SCADA system, involving the simulation of an IEEE 14 Bus system integrated with IEDs. The communication link between the SCADA centre and IEDs is established through the MODBUS communication protocol. This paper further analyzes and detects cyber-attacks targeting SCADA systems, including Ping flood attack, UDP flood attack, Smurf attack, and Random flood attack. All these attacks are executed using Kali Linux tools. The Wireshark tool is employed to analyse network traffic and detect these attacks, which are also validated in real time using OPAL-RT (OP4510). The results demonstrate the successful implementation and detection of cyber-attacks, contributing to a deeper understanding of cyber threats and informing proactive security strategies to strengthen the security of Power SCADA systems against evolving cyber threats.</p>","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"7 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143770408","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}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"7 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148064344","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":"Multiple Hybrid Outputs for Integrated Energy Systems: Design, Control and Real-Time Validation","authors":"Pooja Deori, Anish Ahmad, Kaveri Bhuyan, Gulshan Sharma","doi":"10.1049/esi2.70002","DOIUrl":"10.1049/esi2.70002","url":null,"abstract":"<p>This paper presents hybrid quasi-Z-source converters (qZSCs) designed for integrated energy system-based microgrid applications, capable of providing dual-DC and multi-AC outputs from a single DC input source. Microgrids rely on diverse renewable energy sources such as solar and effective power converters and are crucial for integrating these resources into the grid. The proposed converters incorporate series and parallel-configured integrated inverters, facilitating both boost and buck-boost operations simultaneously with an additional inductive branch to the standard quasi-Z-source network. The suggested system utilises a novel control approach to regulate multiple AC and DC output voltages efficiently. Key features include robust power control, single-stage energy conversion, built-in shoot-through protection and immunity to electromagnetic interference. The proposed series and parallel converter circuits offer versatile configurations for generating two DC and multiple AC outputs, enhancing flexibility in microgrid power distribution. A closed-loop control strategy is implemented for the series qZSC to validate its operational effectiveness. Detailed steady-state mathematical analyses for both qZSC configurations are supplemented by simulation results under varying load conditions, confirming their performance capabilities. Additionally, for further validation, Hardware-in-the-loop (HIL) results were obtained with a real-time emulator using Typhoon HIL to prove the effectiveness of the proposed system.</p>","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"7 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689166","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}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"7 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148084777","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":"Deep Learning-Driven Forecasting for Compressed Air Oxygenation Integrating With Floating PV Power Generation System","authors":"Sirisak Pangvuthivanich, Wirachai Roynarin, Promphak Boonraksa, Terapong Boonraksa","doi":"10.1049/esi2.70000","DOIUrl":"10.1049/esi2.70000","url":null,"abstract":"<p>Insufficient dissolved oxygen in aquaculture systems poses a significant challenge to sustainable fish farming, while traditional aeration systems rely heavily on grid electricity, contributing to both operational costs and environmental impact. This study addresses these challenges by integrating a compressed air oxygenation system with floating solar photovoltaic (PV) power generation, supported by deep learning-based forecasting for optimal system control. Our key contributions include: (1) development of an integrated floating PV-powered compressed air oxygenation system for aquaculture, (2) implementation and comparative analysis of three deep learning models (RNN, GRU and LSTM) for forecasting both PV power generation and compressed air production and (3) validation through a real-world case study in Thailand's Pathum Thani Province. The LSTM model demonstrated superior performance, achieving the highest accuracy with RMSE of 172.59 kW and MAPE of 13.87% for PV power forecasting, and a MAPE of 21.72% for compressed air production forecasting. The implemented system successfully improved water quality in a 1200-cubic-metre freshwater fish pond, increasing dissolved oxygen levels from 1.7 to 6.47 mg/L over a 4-month period. These results demonstrate the feasibility and effectiveness of renewable energy integration in aquaculture water treatment, offering a sustainable solution for fish farming operations while reducing dependency on grid electricity.</p>","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"7 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143602510","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}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"7 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148073370","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}
Jalal Sahebkar Farkhani, Jonathan Cervantes Gomez, Peter Jan Randewijk, Claus Leth Bak, Zhe Chen
{"title":"Blocking Converter Criteria Considering Protection Coordination Strategies of VSC-MTDC","authors":"Jalal Sahebkar Farkhani, Jonathan Cervantes Gomez, Peter Jan Randewijk, Claus Leth Bak, Zhe Chen","doi":"10.1049/esi2.70001","DOIUrl":"10.1049/esi2.70001","url":null,"abstract":"<p>Multiterminal high-voltage direct current (MTDC) systems are anticipated to enable the massive integration of renewable energies into modern grids. However, the protection of MTDC systems is a major challenge for their application in connection with offshore wind farms (OWF). This is due to the extremely high short circuit currents, present for very short timeframes, and characterised by the absence of zero-crossing currents. Additionally, economic and technological issues further challenge widespread implementation of MTDC systems. The main constraints of MTDC protection coordination systems are generally associated with fault detection, DC reactor (DCR), DC circuit breaker (DCCB) operation time, and converter blocking time. This paper presents strategies for achieving full-selectivity (F-S) and partial-selectivity (P-S) in the protection of voltage source converter (VSC)-MTDC systems. A case study is setup to design both the F-S and P-S protection schemes. Initially, suitable DCRs are calculated for the case study, followed by selecting DCCB operation times with offshore converter blocking for both cases. Finally, an inverse time-current curve is proposed for different scenarios, considering sensitivity to DCR ratings to enhance converter blocking performance. The case study is conducted in PSCAD/EMTDC software and the simulation results demonstrate the impact of the different scenarios on the MTDC systems.</p>","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"7 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.70001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143571377","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}
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"7 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148069324","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}