The Experts below are selected from a list of 213867 Experts worldwide ranked by ideXlab platform
Moe Z Win - One of the best experts on this subject based on the ideXlab platform.
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Network Operation strategies for efficient localization and navigation
Proceedings of the IEEE, 2018Co-Authors: Moe Z Win, Wenhan Dai, Yuan Shen, George Chrisikos, Vincent H PoorAbstract:Reliable and accurate position information is of great importance for many mass-market and emerging applications. Network localization and navigation (NLN) is a promising paradigm to provide such information ubiquitously, where a Network of nodes is used to aid in localizing its members. This paper explores various Network Operation strategies, which play an essential role in NLN as they determine the Network lifetime and localization accuracy. Efficient Network Operation requires several functionalities, including node prioritization, node activation, and node deployment. The roles of these functionalities are described and different techniques for implementing respective functionalities via algorithmic modules are introduced. Some important concepts such as cooperative Operation, robustness guarantee, and distributed design in the development of the Network Operation strategies are also introduced. Finally, numerical results are provided to demonstrate the localization performance improvement attributed to the optimized Network Operation strategies.
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cooperative Network Operation design for mobility aware cloud radio access Network
IEEE Transactions on Wireless Communications, 2018Co-Authors: Fanggang Wang, Liangzhong Ruan, Moe Z WinAbstract:Ultra-dense small cells operating in a cooperative manner, such as cloud radio access Network (C-RAN), have been introduced to serve the numerous mobile devices in the next generation wireless Networks. One of the major challenges in efficiently operating the C-RAN in a cooperative manner is the excessive overhead signaling and computation load, such as downlink channel state information (CSI) acquisition at the cloud for cooperative downlink transmission, which scales rapidly with the size of the Network. In this paper, the exploitation of mobility information of devices is proposed to address the challenge of efficiently operating the C-RAN. We introduce a mobility-assisted CSI acquisition method to complement conventional pilot-based CSI acquisition methods. This method enables the C-RAN to avoid excessive overhead signaling. A low-complexity algorithm is designed to maximize the sum rate of all devices subject to the limits of backhaul capacity and base station transmit power. An adaptive algorithm has also been proposed to improve the robustness against channel uncertainty. Both theoretical and numerical analyses show that the exploitation of mobility information provides a new dimension to improve conventional transmission schemes for next-generation massive cooperative Networks.
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location aware Network Operation for cloud radio access Network
International Conference on Acoustics Speech and Signal Processing, 2017Co-Authors: Fanggang Wang, Liangzhong Ruan, Moe Z WinAbstract:One of the major challenges in effectively operating a cloud radio access Network (C-RAN) is the excessive overhead signaling and computation load that scale rapidly with the size of the Network. In this paper, the exploitation of location information of the mobile devices is proposed to address this challenge. We consider an approach in which location-assisted channel state information (CSI) acquisition methods are introduced to complement conventional pilot-based CSI acquisition methods and avoid excessive overhead signaling. A low-complexity algorithm is designed to maximize the sum rate. An adaptive algorithm is also proposed to address the uncertainty issue in CSI acquisition. Both theoretical and numerical analyses show that location information provides a new dimension to improve throughput for next-generation massive cooperative Networks.
Fanggang Wang - One of the best experts on this subject based on the ideXlab platform.
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cooperative Network Operation design for mobility aware cloud radio access Network
IEEE Transactions on Wireless Communications, 2018Co-Authors: Fanggang Wang, Liangzhong Ruan, Moe Z WinAbstract:Ultra-dense small cells operating in a cooperative manner, such as cloud radio access Network (C-RAN), have been introduced to serve the numerous mobile devices in the next generation wireless Networks. One of the major challenges in efficiently operating the C-RAN in a cooperative manner is the excessive overhead signaling and computation load, such as downlink channel state information (CSI) acquisition at the cloud for cooperative downlink transmission, which scales rapidly with the size of the Network. In this paper, the exploitation of mobility information of devices is proposed to address the challenge of efficiently operating the C-RAN. We introduce a mobility-assisted CSI acquisition method to complement conventional pilot-based CSI acquisition methods. This method enables the C-RAN to avoid excessive overhead signaling. A low-complexity algorithm is designed to maximize the sum rate of all devices subject to the limits of backhaul capacity and base station transmit power. An adaptive algorithm has also been proposed to improve the robustness against channel uncertainty. Both theoretical and numerical analyses show that the exploitation of mobility information provides a new dimension to improve conventional transmission schemes for next-generation massive cooperative Networks.
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location aware Network Operation for cloud radio access Network
International Conference on Acoustics Speech and Signal Processing, 2017Co-Authors: Fanggang Wang, Liangzhong Ruan, Moe Z WinAbstract:One of the major challenges in effectively operating a cloud radio access Network (C-RAN) is the excessive overhead signaling and computation load that scale rapidly with the size of the Network. In this paper, the exploitation of location information of the mobile devices is proposed to address this challenge. We consider an approach in which location-assisted channel state information (CSI) acquisition methods are introduced to complement conventional pilot-based CSI acquisition methods and avoid excessive overhead signaling. A low-complexity algorithm is designed to maximize the sum rate. An adaptive algorithm is also proposed to address the uncertainty issue in CSI acquisition. Both theoretical and numerical analyses show that location information provides a new dimension to improve throughput for next-generation massive cooperative Networks.
Johanna L. Mathieu - One of the best experts on this subject based on the ideXlab platform.
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effects of load based frequency regulation on distribution Network Operation
IEEE Transactions on Power Systems, 2019Co-Authors: Stephanie C. Ross, Gabrielle Vuylsteke, Johanna L. MathieuAbstract:This paper examines the Operation of distribution Networks that have large aggregations of thermostatically controlled loads (TCLs) providing frequency regulation to the bulk power system. Specifically, we assess the prevalence of distribution Network constraint violations, such as over- or under-voltages and overloading of transformers. Our goal is to determine the set of constraints that are at increased risk of being violated when TCLs provide regulation. We compare Network Operation in two cases: first, with TCLs operating freely; and second, with TCLs controlled to track a regulation signal. Using GridLAB-D, we run power flow simulations of five real distribution Networks. Our results indicate that voltage limits are at increased risk of violation when TCLs provide regulation because of increased voltage variation. Effects on transformer aging are more nuanced and depend on the method used for dispatching TCLs. Overall, we find that, for the Networks studied, the set of constraints at risk of violation is a small subset of all Network constraints. Therefore, Network-protecting load control algorithms may only need to consider a small set of constraints, enhancing their computational efficiency.
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effects of load based frequency regulation on distribution Network Operation
arXiv: Optimization and Control, 2018Co-Authors: Stephanie C. Ross, Gabrielle Vuylsteke, Johanna L. MathieuAbstract:This paper examines the Operation of distribution Networks that have large aggregations of thermostatically controlled loads (TCLs) providing secondary frequency regulation to the bulk power system. Specifically, we assess the prevalence of distribution Network constraint violations, such as over- or under-voltages and overloading of transformers. Our goal is to determine the set of constraints that are at increased risk of being violated when TCLs provide regulation. We compare Network Operation in two cases: first with TCLs operating freely, and second with TCLs controlled to track a regulation signal. Using GridLAB-D, we run power flow simulations of five real distribution Networks. Our results indicate that voltage limits are at increased risk of violation when TCLs provide regulation because of increased voltage variation. Effects on transformer aging are more nuanced and depend on the method used for dispatching TCLs. We find that in many distribution Networks it may only be necessary to consider voltage constraints when designing a TCL control strategy that protects the distribution Network.
T C Green - One of the best experts on this subject based on the ideXlab platform.
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operating principle of soft open points for electrical distribution Network Operation
Applied Energy, 2016Co-Authors: Jianzhong Wu, Chengshan Wang, T C GreenAbstract:Soft Open Points (SOPs) are power electronic devices installed in place of normally-open points in electrical power distribution Networks. They are able to provide active power flow control, reactive power compensation and voltage regulation under normal Network operating conditions, as well as fast fault isolation and supply restoration under abnormal conditions. Two control modes were developed for the Operation of an SOP, using back-to-back voltage-source converters (VSCs). A power flow control mode with current control provides independent control of real and reactive power. A supply restoration mode with a voltage controller enables power supply to isolated loads due to Network faults. The operating principle of the back-to-back VSCs based SOP was investigated under both normal and abnormal Network operating conditions. Studies on a two-feeder medium-voltage distribution Network showed the performance of the SOP under different Network-operating conditions: normal, during a fault and post-fault supply restoration. During the change of Network operating conditions, a mode switch method based on the phase locked loop controller was used to achieve the transitions between the two control modes. Hard transitions by a direct mode switching were noticed unfavourable, but seamless transitions were obtained by deploying a soft cold load pickup and voltage synchronization process.
Mahmood Hosseini Aliabadi - One of the best experts on this subject based on the ideXlab platform.
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active distribution Network Operation management with large penetration of hybrid electric vehicles and sustainable distributed energy generation
Sustainable Cities and Society, 2020Co-Authors: Mohammadreza Andervazh, Shahram Javadi, Mahmood Hosseini AliabadiAbstract:Abstract The unprecedented growth of technological advances, industrialization and sophisticated urbanization have contributed to a staggering proliferation of plug-in hybrid electric vehicles (PHEVs) and renewable energy sources (RESs) in transportation and electric power distribution systems. As a result, the nature of optimal distribution Network Operation is ever-changing due to the dramatic uncertainty in the increased energy supply and demand caused by large integration of these emerging technologies into the systems. This study proposes a synergistic approach for boosting power system Operation performance in sustainable distribution Networks considering renewable power generation and high integration of PHEVs, using multi-objective stochastic optimization and probabilistic analysis techniques. To this end, distribution Network reconfiguration and evolutionary optimization schemes are deployed, and a probabilistic multi-criteria decision making (MCDM) system based on point estimate method is developed, considering stochastic correlation between distributed energy generation sources. The results obtained along with the performance appraisal observations, indicate the effectiveness of the proposed method in sustainable active distribution Network Operation management in their entirety.
