The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Geert Leus - One of the best experts on this subject based on the ideXlab platform.
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joint sensor placement and Power Rating selection in energy harvesting wireless sensor networks
European Signal Processing Conference, 2017Co-Authors: Osama M Bushnaq, Tareq Y Alnaffouri, Sundeep Prabhakar Chepuri, Geert LeusAbstract:In this paper, the focus is on optimal sensor placement and Power Rating selection for parameter estimation in wireless sensor networks (WSNs). We take into account the amount of energy harvested by the sensing nodes, communication link quality, and the observation accuracy at the sensor level. In particular, the aim is to reconstruct the estimation parameter with minimum error at a fusion center under a system budget constraint. To achieve this goal, a subset of sensing locations is selected from a large pool of candidate sensing locations. Furthermore, the type of sensor to be placed at those locations is selected from a given set of sensor types (e.g., sensors with different Power Ratings). We further investigate whether it is better to install a large number of cheap sensors, a few expensive sensors or a combination of different sensor types at the optimal locations.
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EUSIPCO - Joint sensor placement and Power Rating selection in energy harvesting wireless sensor networks
2017 25th European Signal Processing Conference (EUSIPCO), 2017Co-Authors: Osama M Bushnaq, Sundeep Prabhakar Chepuri, Tareq Y. Al-naffouri, Geert LeusAbstract:In this paper, the focus is on optimal sensor placement and Power Rating selection for parameter estimation in wireless sensor networks (WSNs). We take into account the amount of energy harvested by the sensing nodes, communication link quality, and the observation accuracy at the sensor level. In particular, the aim is to reconstruct the estimation parameter with minimum error at a fusion center under a system budget constraint. To achieve this goal, a subset of sensing locations is selected from a large pool of candidate sensing locations. Furthermore, the type of sensor to be placed at those locations is selected from a given set of sensor types (e.g., sensors with different Power Ratings). We further investigate whether it is better to install a large number of cheap sensors, a few expensive sensors or a combination of different sensor types at the optimal locations.
Junji Tamura - One of the best experts on this subject based on the ideXlab platform.
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Analysis and Design of Filters for the Energy Storage System: Optimal Tradeoff Between Frequency Guarantee and Energy Capacity/Power Rating
IEEE Transactions on Industrial Electronics, 2018Co-Authors: Kenta Koiwa, Kang-zhi Liu, Junji TamuraAbstract:This paper proposes a new filter design method that can smooth the wind Power generation output while keeping the energy capacity and Power Rating of the energy storage system (ESS) small. Wind Power generation causes frequency fluctuations in Power systems. Therefore, in many cases, the ESS is needed for smoothing the fluctuations of wind generator output. In order to improve the performance of the ESS controlled with the conventional low-pass filter (LPF), this paper investigates other types of filters. First, the relations between filter and energy capacity/Power Rating of the ESS are disclosed through the worst-case study. Then, the frequency fluctuation analysis of the Power system with respect to the wind Power generation is carried out in order to realize a pin-point smoothing. Finally, a metaheuristic optimization method is proposed for the multiobjective design of the filter based on these relations so as to achieve an optimal tradeoff between the output smoothing and energy capacity/Power Rating of the ESS. It is shown via simulation analysis with real wind data that the proposed method can suppress the frequency fluctuation of the Power system effectively with the ESS having smaller energy capacity and Power Rating.
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A consideration on the determination of Power Rating of Energy Storage System for smoothing wind generator output
2010Co-Authors: Norifumi Kurose, Rion Takahashi, Junji Tamura, Tomoyuki Fukushima, Eiichi Sasano, Koji ShinyaAbstract:This paper proposes an evaluation method for determining the Power Rating of Energy Storage System (ESS) for smoothing the wind generator output fluctuations. A determination of Power Rating of ESS unit which is sufficient for the smoothing control but as small as possible is very important. In this paper, a transfer function model is developed to obtain fast and easily the frequency response of Power system including wind farms, and then, its accuracy is investigated. Finally the characteristic between the Power Rating of ESS and frequency deviation of the Power system is analyzed and discussed.
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A determination method of Power Rating of Energy Storage System for smoothing wind generator output
2009 International Conference on Electrical Machines and Systems, 2009Co-Authors: Rion Takahashi, Junji Tamura, Tomoyuki Fukushima, Eiichi Sasano, Koji Shinya, Takatoshi MatsumotoAbstract:This paper proposes a system composed of a wind turbine generator system and Energy Storage System (ESS) unit, in which ESS is controlled for smoothing the wind generator output Power. A determination of Power Rating of ESS unit which is sufficient for the smoothing control but as small as possible is very important problem. In this paper, an evaluation method for the determination of the Power Rating of ESS is presented based on simulation analyses performed by PSCAD/EMTDC.
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Evaluation method of Power Rating and energy capacity of superconducting magnetic energy storage system for output smoothing control of wind farm
Proceedings of the 2008 International Conference on Electrical Machines, ICEM'08, 2008Co-Authors: Tomoki Asao, Yoshiharu Matsumura, Akira Kuwayama, Rion Takahashi, Masahiro Kubo, Toshiaki Murata, Junji Tamura, Takatoshi MatsumotoAbstract:This paper proposes a system composed of a wind turbine generator system and superconducting magnetic energy storage (SMES) unit, in which SMES is controlled for smoothing the wind generator output Power. A determination of Power Rating and storage energy capacity of SMES unit which are sufficient for the smoothing control but as small as possible is very important problem. In this paper, an evaluation method for the determination of the Power Rating and the storage energy capacity of SMES is presented based on simulation analyses performed by PSCAD/EMTDC.
Osama M Bushnaq - One of the best experts on this subject based on the ideXlab platform.
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joint sensor placement and Power Rating selection in energy harvesting wireless sensor networks
European Signal Processing Conference, 2017Co-Authors: Osama M Bushnaq, Tareq Y Alnaffouri, Sundeep Prabhakar Chepuri, Geert LeusAbstract:In this paper, the focus is on optimal sensor placement and Power Rating selection for parameter estimation in wireless sensor networks (WSNs). We take into account the amount of energy harvested by the sensing nodes, communication link quality, and the observation accuracy at the sensor level. In particular, the aim is to reconstruct the estimation parameter with minimum error at a fusion center under a system budget constraint. To achieve this goal, a subset of sensing locations is selected from a large pool of candidate sensing locations. Furthermore, the type of sensor to be placed at those locations is selected from a given set of sensor types (e.g., sensors with different Power Ratings). We further investigate whether it is better to install a large number of cheap sensors, a few expensive sensors or a combination of different sensor types at the optimal locations.
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EUSIPCO - Joint sensor placement and Power Rating selection in energy harvesting wireless sensor networks
2017 25th European Signal Processing Conference (EUSIPCO), 2017Co-Authors: Osama M Bushnaq, Sundeep Prabhakar Chepuri, Tareq Y. Al-naffouri, Geert LeusAbstract:In this paper, the focus is on optimal sensor placement and Power Rating selection for parameter estimation in wireless sensor networks (WSNs). We take into account the amount of energy harvested by the sensing nodes, communication link quality, and the observation accuracy at the sensor level. In particular, the aim is to reconstruct the estimation parameter with minimum error at a fusion center under a system budget constraint. To achieve this goal, a subset of sensing locations is selected from a large pool of candidate sensing locations. Furthermore, the type of sensor to be placed at those locations is selected from a given set of sensor types (e.g., sensors with different Power Ratings). We further investigate whether it is better to install a large number of cheap sensors, a few expensive sensors or a combination of different sensor types at the optimal locations.
Sundeep Prabhakar Chepuri - One of the best experts on this subject based on the ideXlab platform.
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joint sensor placement and Power Rating selection in energy harvesting wireless sensor networks
European Signal Processing Conference, 2017Co-Authors: Osama M Bushnaq, Tareq Y Alnaffouri, Sundeep Prabhakar Chepuri, Geert LeusAbstract:In this paper, the focus is on optimal sensor placement and Power Rating selection for parameter estimation in wireless sensor networks (WSNs). We take into account the amount of energy harvested by the sensing nodes, communication link quality, and the observation accuracy at the sensor level. In particular, the aim is to reconstruct the estimation parameter with minimum error at a fusion center under a system budget constraint. To achieve this goal, a subset of sensing locations is selected from a large pool of candidate sensing locations. Furthermore, the type of sensor to be placed at those locations is selected from a given set of sensor types (e.g., sensors with different Power Ratings). We further investigate whether it is better to install a large number of cheap sensors, a few expensive sensors or a combination of different sensor types at the optimal locations.
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EUSIPCO - Joint sensor placement and Power Rating selection in energy harvesting wireless sensor networks
2017 25th European Signal Processing Conference (EUSIPCO), 2017Co-Authors: Osama M Bushnaq, Sundeep Prabhakar Chepuri, Tareq Y. Al-naffouri, Geert LeusAbstract:In this paper, the focus is on optimal sensor placement and Power Rating selection for parameter estimation in wireless sensor networks (WSNs). We take into account the amount of energy harvested by the sensing nodes, communication link quality, and the observation accuracy at the sensor level. In particular, the aim is to reconstruct the estimation parameter with minimum error at a fusion center under a system budget constraint. To achieve this goal, a subset of sensing locations is selected from a large pool of candidate sensing locations. Furthermore, the type of sensor to be placed at those locations is selected from a given set of sensor types (e.g., sensors with different Power Ratings). We further investigate whether it is better to install a large number of cheap sensors, a few expensive sensors or a combination of different sensor types at the optimal locations.
Edris Pouresmaeil - One of the best experts on this subject based on the ideXlab platform.
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A modified partial Power structure for quasi Z-source converter to improve voltage gain and Power Rating
Energies, 2019Co-Authors: Shahin Honarmand, Amirhossein Rajaei, Shahparasti, Alvaro Luna, Edris PouresmaeilAbstract:Employing partial Power processing (PPP) technique for quasi Z-source converter (QZSC) a new structure of the converter is presented. Using PPP technique although eliminates electrical insolation, but permits reducing voltage and current stress at the semiconductors, if compared with full Power proposals. In this work, two PPP structures are discussed: A first one, similar to the basic topology, where the output voltage of the Power converter is in series with the input voltage; and a second one, where the output is in series with the capacitor of the QZSC. This minor modification, which requires no extra elements, improves the Power Rating, voltage gain, and requires a lower transformation ratio. An experimental prototype of the proposed converter has been tested and the results are compared with other implementations, permitting to validate the theoretical analysis as well as the advantages that this proposal provides.
