Pub Date : 2022-12-04DOI: 10.1109/iSPEC54162.2022.10032975
Haitao Wu, Jian Yu, Jun Liu, Rui Mei, Xiangmei Ji, Hong Wang
With the integration of power electronic equipment, the voltage stability control of new energy based power system is increasingly complex. To improve the voltage stability of offshore wind farm, a voltage control method is proposed based on the reactive power coordination of wind farm and electrochemical energy storage. Firstly, this paper investigates the basic structure of offshore wind farm combined with electrochemical energy storage. Secondly, the control strategy of power conversion system (PCS) and reactive power operating region of wind farm are formed. Meanwhile, the detailed control method and reactive power operating region of electrochemical energy storage are also studied. Thirdly, to solve the problem of voltage variation of the point of common coupling (PCC), a novel voltage control method is proposed by coordinating the reactive power ability of offshore wind farm and electrochemical energy storage. Based on the actual offshore wind farm in Jiangsu Province, we build the simulation model in PSCAD. According to the simulation results, the proposed voltage control can improve the voltage stability with the utilization of energy storage under load fluctuation conditions.
{"title":"Voltage control of offshore wind farm considering reactive ability of electrochemical energy storage","authors":"Haitao Wu, Jian Yu, Jun Liu, Rui Mei, Xiangmei Ji, Hong Wang","doi":"10.1109/iSPEC54162.2022.10032975","DOIUrl":"https://doi.org/10.1109/iSPEC54162.2022.10032975","url":null,"abstract":"With the integration of power electronic equipment, the voltage stability control of new energy based power system is increasingly complex. To improve the voltage stability of offshore wind farm, a voltage control method is proposed based on the reactive power coordination of wind farm and electrochemical energy storage. Firstly, this paper investigates the basic structure of offshore wind farm combined with electrochemical energy storage. Secondly, the control strategy of power conversion system (PCS) and reactive power operating region of wind farm are formed. Meanwhile, the detailed control method and reactive power operating region of electrochemical energy storage are also studied. Thirdly, to solve the problem of voltage variation of the point of common coupling (PCC), a novel voltage control method is proposed by coordinating the reactive power ability of offshore wind farm and electrochemical energy storage. Based on the actual offshore wind farm in Jiangsu Province, we build the simulation model in PSCAD. According to the simulation results, the proposed voltage control can improve the voltage stability with the utilization of energy storage under load fluctuation conditions.","PeriodicalId":129707,"journal":{"name":"2022 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"510 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127036959","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}
Pub Date : 2022-12-04DOI: 10.1109/iSPEC54162.2022.10032976
Tianran Fu, Zhaoyang Yan, E. Pashajavid, Liaqat Ali
This paper presents a model predictive control (MPC) strategy for a three-phase high-frequency link matrix inverter (HFLMI). The de-re-coupling concept will be utilised to decompose the matrix converter composed of bidirectional switches into two conventional inverters with unidirectional switches. Then, a finite control set MPC (FCS-MPC) scheme is developed to generate switching commands of the switches, successfully regulating output current following the given reference trajectory. The proposed de-re-coupling-based MPC method reduces the modulation procedure’s complexity for HFLMIs and can efficiently deal with voltage spikes caused by transformer leakage inductance. Further, the proposed method requires comparatively less computation. The efficacy of the developed strategy is evaluated using various Matlab/Simulink simulation cases.
{"title":"De-Re-Coupling Scheme-based Model Predictive Control of a Three-phase High-Frequency Link Matrix Converter","authors":"Tianran Fu, Zhaoyang Yan, E. Pashajavid, Liaqat Ali","doi":"10.1109/iSPEC54162.2022.10032976","DOIUrl":"https://doi.org/10.1109/iSPEC54162.2022.10032976","url":null,"abstract":"This paper presents a model predictive control (MPC) strategy for a three-phase high-frequency link matrix inverter (HFLMI). The de-re-coupling concept will be utilised to decompose the matrix converter composed of bidirectional switches into two conventional inverters with unidirectional switches. Then, a finite control set MPC (FCS-MPC) scheme is developed to generate switching commands of the switches, successfully regulating output current following the given reference trajectory. The proposed de-re-coupling-based MPC method reduces the modulation procedure’s complexity for HFLMIs and can efficiently deal with voltage spikes caused by transformer leakage inductance. Further, the proposed method requires comparatively less computation. The efficacy of the developed strategy is evaluated using various Matlab/Simulink simulation cases.","PeriodicalId":129707,"journal":{"name":"2022 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125961614","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}
In this work, the salt spray test and applied current accelerated corrosion test were used to simulate the accelerated corrosion process of the ocean atmosphere. The electrochemical tests were conducted to study the effect of different concentrations of NaC1 solution (3.5%, 5% and 10%) and immersion time (0, 24, 48 and 96 h) on the corrosion behavior of galvanized steel in marine atmospheric environment, and a variety of analysis methods were used to study the corrosion behavior of galvanized steel in the simulated ocean atmosphere. The effects of static immersion test with various concentrations of NaC1 solution on the corrosion behavior of galvanized steel in marine atmospheric environment were further studied. In addition, this work can guide and evaluate the service life of transmission towers.
{"title":"Effects of various accelerated corrosion conditions on corrosion behavior of galvanized steel in marine atmospheric environment","authors":"Xunping Yan, Yun Cong, Gencheng Wang, Zhenpeng Zhang","doi":"10.1109/iSPEC54162.2022.10033015","DOIUrl":"https://doi.org/10.1109/iSPEC54162.2022.10033015","url":null,"abstract":"In this work, the salt spray test and applied current accelerated corrosion test were used to simulate the accelerated corrosion process of the ocean atmosphere. The electrochemical tests were conducted to study the effect of different concentrations of NaC1 solution (3.5%, 5% and 10%) and immersion time (0, 24, 48 and 96 h) on the corrosion behavior of galvanized steel in marine atmospheric environment, and a variety of analysis methods were used to study the corrosion behavior of galvanized steel in the simulated ocean atmosphere. The effects of static immersion test with various concentrations of NaC1 solution on the corrosion behavior of galvanized steel in marine atmospheric environment were further studied. In addition, this work can guide and evaluate the service life of transmission towers.","PeriodicalId":129707,"journal":{"name":"2022 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123910193","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}
Pub Date : 2022-12-04DOI: 10.1109/iSPEC54162.2022.10032990
A. Haidar, Lim Wei Han, T. Ahfock
The transportation sector in Sarawak completely depends on fossil fuel which produces a high quantity of greenhouse gases. A suitable design of charging stations for electric vehicles (EVs) equipped with grid-integrated renewable energy resources (RERs) can help in addressing this issue. This paper proposes to enhance the execution requirements of the hybrid-powered electric vehicle charging stations (EVCSs) in Sarawak. A generalized approach for modelling a renewable energy-based hybrid microgrid equipped with EVCS is presented in detail. Four types of microgrid configurations with biomass and solar photovoltaic (PV) systems have been studied to find the optimal size of each component feasible for EVCS. Each design of the hybrid-powered EVCS has been analyzed in terms of economic and environmental viability using the climate data with associated monetary data. The analysis shows that the cost of lowering emission to zero is directly proportional to the total net present cost (RM 259, 0SS) when using PV microgrid-powered EVCS. The outcome of this paper provides insight for policymakers on the technical and financial benefits of EVCS deployment. It also promotes the industry of Plug-in Electric Vehicles (PEVs) in Malaysia.
{"title":"Feasibility Analysis of Implementing Hybrid Powered Electric Vehicle Charging Stations in Sarawak","authors":"A. Haidar, Lim Wei Han, T. Ahfock","doi":"10.1109/iSPEC54162.2022.10032990","DOIUrl":"https://doi.org/10.1109/iSPEC54162.2022.10032990","url":null,"abstract":"The transportation sector in Sarawak completely depends on fossil fuel which produces a high quantity of greenhouse gases. A suitable design of charging stations for electric vehicles (EVs) equipped with grid-integrated renewable energy resources (RERs) can help in addressing this issue. This paper proposes to enhance the execution requirements of the hybrid-powered electric vehicle charging stations (EVCSs) in Sarawak. A generalized approach for modelling a renewable energy-based hybrid microgrid equipped with EVCS is presented in detail. Four types of microgrid configurations with biomass and solar photovoltaic (PV) systems have been studied to find the optimal size of each component feasible for EVCS. Each design of the hybrid-powered EVCS has been analyzed in terms of economic and environmental viability using the climate data with associated monetary data. The analysis shows that the cost of lowering emission to zero is directly proportional to the total net present cost (RM 259, 0SS) when using PV microgrid-powered EVCS. The outcome of this paper provides insight for policymakers on the technical and financial benefits of EVCS deployment. It also promotes the industry of Plug-in Electric Vehicles (PEVs) in Malaysia.","PeriodicalId":129707,"journal":{"name":"2022 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124780230","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}
Pub Date : 2022-12-04DOI: 10.1109/iSPEC54162.2022.10033062
Osaka Rubasinghe, Xinan Zhang, Tat Kei Chau, T. Fernando, H. Iu
Long term load forecasting (LTLF) models play an important role in the strategic planning of power systems around the globe. Obtaining correct decisions on power network expansions or restrictions based on future predictions help substantially reduce the infrastructure cost of the power grid. The classical approach of LTLF limits to the use of artificial neural networks (ANN) or regression based approaches along with a large set of historical demand, weather, economy and population data. Considering the drawbacks of these classical methods, this paper introduces a novel sequence to sequence (seq2seq) deep neural network (DNN) model to forecast the monthly peak demand for a time horizon of three years. Selecting the correct time interval plays a key role in LTLF. Therefore, using monthly peak demand avoids unnecessary model complications while providing all the essential information for a good long term strategical planning. The accuracy of the proposed method is verified by the load data of “New South Wales (NSW)”, Australia. The numerical results validate that the proposed method has achieved higher prediction accuracy compared to the existing work.
{"title":"A Novel Sequence to Sequence based CNN-LSTM Model for Long Term Load Forecasting","authors":"Osaka Rubasinghe, Xinan Zhang, Tat Kei Chau, T. Fernando, H. Iu","doi":"10.1109/iSPEC54162.2022.10033062","DOIUrl":"https://doi.org/10.1109/iSPEC54162.2022.10033062","url":null,"abstract":"Long term load forecasting (LTLF) models play an important role in the strategic planning of power systems around the globe. Obtaining correct decisions on power network expansions or restrictions based on future predictions help substantially reduce the infrastructure cost of the power grid. The classical approach of LTLF limits to the use of artificial neural networks (ANN) or regression based approaches along with a large set of historical demand, weather, economy and population data. Considering the drawbacks of these classical methods, this paper introduces a novel sequence to sequence (seq2seq) deep neural network (DNN) model to forecast the monthly peak demand for a time horizon of three years. Selecting the correct time interval plays a key role in LTLF. Therefore, using monthly peak demand avoids unnecessary model complications while providing all the essential information for a good long term strategical planning. The accuracy of the proposed method is verified by the load data of “New South Wales (NSW)”, Australia. The numerical results validate that the proposed method has achieved higher prediction accuracy compared to the existing work.","PeriodicalId":129707,"journal":{"name":"2022 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115143454","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}
Pub Date : 2022-12-04DOI: 10.1109/iSPEC54162.2022.10033058
Rena Jimbo, N. Yamaguchi, Yusuke Manabe
Because of global warming, interest in low carbonization applications has grown worldwide. In Japan, efforts are underway to build a power system with low carbonization because it is necessary to reduce emissions in the electric power sector, which has the highest rate of CO2 emissions. As ammonia and hydrogen are known as carbon-free fuels, their use as fuels has considerable attention. An important concern in Japan is its low energy self-sufficiency ratio. Although introducing renewable energy has improved the energy self-sufficiency rate, it is necessary to store the surplus power because renewable energy sources do not have a supply-demand adjustment function. In this study, we propose a model that can optimize the operating status of power plants while enhancing the domestic manufacturing rate of ammonia. To verify the proposed model, we performed numerical simulations for eight cases.
{"title":"Expanded Hydrogen and Ammonia Power Generation for Hydrogen Storage with Unit Commitment","authors":"Rena Jimbo, N. Yamaguchi, Yusuke Manabe","doi":"10.1109/iSPEC54162.2022.10033058","DOIUrl":"https://doi.org/10.1109/iSPEC54162.2022.10033058","url":null,"abstract":"Because of global warming, interest in low carbonization applications has grown worldwide. In Japan, efforts are underway to build a power system with low carbonization because it is necessary to reduce emissions in the electric power sector, which has the highest rate of CO2 emissions. As ammonia and hydrogen are known as carbon-free fuels, their use as fuels has considerable attention. An important concern in Japan is its low energy self-sufficiency ratio. Although introducing renewable energy has improved the energy self-sufficiency rate, it is necessary to store the surplus power because renewable energy sources do not have a supply-demand adjustment function. In this study, we propose a model that can optimize the operating status of power plants while enhancing the domestic manufacturing rate of ammonia. To verify the proposed model, we performed numerical simulations for eight cases.","PeriodicalId":129707,"journal":{"name":"2022 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124900446","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}
Pub Date : 2022-12-04DOI: 10.1109/iSPEC54162.2022.10033002
N. Yorino, Kazuya Amimoto, Y. Sasaki, Y. Zoka, Hiromu Inami, S. Ogawa
This paper proposes a novel frequency control method based on autonomous distributed control scheme. The operating frequency is controlled by battery energy storage systems (BESSs) in AC microgrid (MG) where an efficient coordination of BESS’s state-of-charges (SOCs) is performed without communications. The BESS-SOCs of the individual prosumers are automatically managed to a same value, while the frequency is deviated in a specified bandwidth as a function of the total BESS-SOCs in MG. The proposed method can increase the reliability of MG operation specially in emergency state where communication is lost. The method is useful not only for the management of BESS-SOCs but also for any distributed generations (DGs) with limited energy storages. The simulation results show that the effectiveness of the proposed method where the MG survives until all energy storages are consumed.
{"title":"Autonomous Distributed Frequency Control for the Management of Energy Storage Systems in Microgrid","authors":"N. Yorino, Kazuya Amimoto, Y. Sasaki, Y. Zoka, Hiromu Inami, S. Ogawa","doi":"10.1109/iSPEC54162.2022.10033002","DOIUrl":"https://doi.org/10.1109/iSPEC54162.2022.10033002","url":null,"abstract":"This paper proposes a novel frequency control method based on autonomous distributed control scheme. The operating frequency is controlled by battery energy storage systems (BESSs) in AC microgrid (MG) where an efficient coordination of BESS’s state-of-charges (SOCs) is performed without communications. The BESS-SOCs of the individual prosumers are automatically managed to a same value, while the frequency is deviated in a specified bandwidth as a function of the total BESS-SOCs in MG. The proposed method can increase the reliability of MG operation specially in emergency state where communication is lost. The method is useful not only for the management of BESS-SOCs but also for any distributed generations (DGs) with limited energy storages. The simulation results show that the effectiveness of the proposed method where the MG survives until all energy storages are consumed.","PeriodicalId":129707,"journal":{"name":"2022 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124945683","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}
Pub Date : 2022-12-04DOI: 10.1109/iSPEC54162.2022.10033052
Xinfeng Jiang, Q. Ai, Yun Chen, Jiayu Wang
In order to improve the consumption of renewable energy, stabilize load fluctuations and control total carbon emissions, this paper proposes a low-carbon economic optimal dispatch strategy of integrated energy system (IES) considering electric-heat flexible load and carbon trading. Combined with the curtailable, shiftable and transferable characteristics of flexible load on the demand side, the strategy establishes an optimal dispatch model under the ladder-type carbon trading mechanism, which comprehensively considers the operation cost, flexible load dispatch cost and carbon trading cost. The analysis of the case study proves that the participation and interaction of flexible electric and thermal loads can significantly improve the consumption rate of renewable energy, realize load peak shaving and valley filling, and relieve peak power supply pressure.
{"title":"Low-carbon economic optimal dispatch strategy of integrated energy system considering electric-heat flexible load and carbon trading","authors":"Xinfeng Jiang, Q. Ai, Yun Chen, Jiayu Wang","doi":"10.1109/iSPEC54162.2022.10033052","DOIUrl":"https://doi.org/10.1109/iSPEC54162.2022.10033052","url":null,"abstract":"In order to improve the consumption of renewable energy, stabilize load fluctuations and control total carbon emissions, this paper proposes a low-carbon economic optimal dispatch strategy of integrated energy system (IES) considering electric-heat flexible load and carbon trading. Combined with the curtailable, shiftable and transferable characteristics of flexible load on the demand side, the strategy establishes an optimal dispatch model under the ladder-type carbon trading mechanism, which comprehensively considers the operation cost, flexible load dispatch cost and carbon trading cost. The analysis of the case study proves that the participation and interaction of flexible electric and thermal loads can significantly improve the consumption rate of renewable energy, realize load peak shaving and valley filling, and relieve peak power supply pressure.","PeriodicalId":129707,"journal":{"name":"2022 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123824576","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}
Pub Date : 2022-12-04DOI: 10.1109/iSPEC54162.2022.10033075
Zhichao Yang, Bingtuan Gao, Z. Cao
To mitigate the voltage fluctuation of offshore wind farm with long-distance transmission, an optimal reactive power allocation method is proposed for permanent magnet synchronous generator-based (PMSG-based) wind farm participating in reactive power regulation of power system. Considering the wind conditions and maximum capacity of grid-side converter, this paper investigates the novel power operation region of wind turbine which depicts the maximum reactive power upper limit of single PMSG. Further, since each wind turbine can produce different power capacity as result of wake effect and collection line, an optimization strategy is designed for reactive power allocation under the premise that the total active power remains unchanged. By adjusting the power of each PMSG within power operation region, the proposed strategy can fully improve the voltage support ability without using static var generator (SVG). Case study is carried out to verify the advantages of proposed method in PSCAD.
{"title":"Optimal reactive power allocation method for an offshore wind farm based on novel power operation region of PMSG","authors":"Zhichao Yang, Bingtuan Gao, Z. Cao","doi":"10.1109/iSPEC54162.2022.10033075","DOIUrl":"https://doi.org/10.1109/iSPEC54162.2022.10033075","url":null,"abstract":"To mitigate the voltage fluctuation of offshore wind farm with long-distance transmission, an optimal reactive power allocation method is proposed for permanent magnet synchronous generator-based (PMSG-based) wind farm participating in reactive power regulation of power system. Considering the wind conditions and maximum capacity of grid-side converter, this paper investigates the novel power operation region of wind turbine which depicts the maximum reactive power upper limit of single PMSG. Further, since each wind turbine can produce different power capacity as result of wake effect and collection line, an optimization strategy is designed for reactive power allocation under the premise that the total active power remains unchanged. By adjusting the power of each PMSG within power operation region, the proposed strategy can fully improve the voltage support ability without using static var generator (SVG). Case study is carried out to verify the advantages of proposed method in PSCAD.","PeriodicalId":129707,"journal":{"name":"2022 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117142939","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}
Pub Date : 2022-12-04DOI: 10.1109/iSPEC54162.2022.10033076
M. Trape, S. K. Shah, A. Hellany, M. Nagrial, J. Rizk
With recent technological enhancements being made in Renewable Energy Systems, resulting in distinct financial and environmental benefits, the implementation of Hybrid Renewable Energy Systems (HRES) is becoming a popular approach to resolve power reliability issues. These may be intrinsically related to certain types of renewable energy systems, especially when meteorological conditions are considered. Improving the reliability index that leads to better power quality being delivered is a trend in complex systems combining several sub-systems operating under a single grid connection. The solution presented in this paper involves a portable monitoring station using Internet of Things (IoT), with a flexible communication bus and signal conditioning devices to monitor and communicate with any system which might compose an HRES. Consequently, this process can assist with any troubleshooting, or data analytics required to monitor the performance and integration of these systems without relying on stationary infrastructure for its implementation.
{"title":"Portable IoT Solution for HRES Integration","authors":"M. Trape, S. K. Shah, A. Hellany, M. Nagrial, J. Rizk","doi":"10.1109/iSPEC54162.2022.10033076","DOIUrl":"https://doi.org/10.1109/iSPEC54162.2022.10033076","url":null,"abstract":"With recent technological enhancements being made in Renewable Energy Systems, resulting in distinct financial and environmental benefits, the implementation of Hybrid Renewable Energy Systems (HRES) is becoming a popular approach to resolve power reliability issues. These may be intrinsically related to certain types of renewable energy systems, especially when meteorological conditions are considered. Improving the reliability index that leads to better power quality being delivered is a trend in complex systems combining several sub-systems operating under a single grid connection. The solution presented in this paper involves a portable monitoring station using Internet of Things (IoT), with a flexible communication bus and signal conditioning devices to monitor and communicate with any system which might compose an HRES. Consequently, this process can assist with any troubleshooting, or data analytics required to monitor the performance and integration of these systems without relying on stationary infrastructure for its implementation.","PeriodicalId":129707,"journal":{"name":"2022 IEEE Sustainable Power and Energy Conference (iSPEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127555063","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}
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