The Experts below are selected from a list of 20916 Experts worldwide ranked by ideXlab platform
Feng Lin - One of the best experts on this subject based on the ideXlab platform.
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Network Partition based zonal voltage control for distribution Networks with distributed pv systems
IEEE Transactions on Smart Grid, 2018Co-Authors: Bo Zhao, Caisheng Wang, Feng LinAbstract:As the penetration level of distributed photovoltaic (PV) systems keeps increasing in distribution Networks, overvoltage due to reverse power flow is an urgent issue to be addressed. This paper proposes a voltage regulation method by utilizing the voltage control capability of PV inverters. A novel Network Partition approach based on a community detection algorithm is presented to realize zonal voltage control in a shorter control response time using the minimum amount of reactive power compensation and active power curtailment. An improved modularity index that considers local reactive power balance is introduced to Partition a distribution Network into several clusters/communities with PVs based on the node voltage sensitivity analysis. An optimal reactive and active power control strategy is proposed for voltage control in each cluster. The voltage management of the overall system can be achieved by controlling each cluster separately. The proposed approach is applied to the voltage control of a practical 10 kV, 37-node feeder. Case studies on the real distribution Network and a modified IEEE 123-node system are carried out to verify the feasibility and effectiveness of the proposed method.
Bo Zhao - One of the best experts on this subject based on the ideXlab platform.
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Network Partition based zonal voltage control for distribution Networks with distributed pv systems
IEEE Transactions on Smart Grid, 2018Co-Authors: Bo Zhao, Caisheng Wang, Feng LinAbstract:As the penetration level of distributed photovoltaic (PV) systems keeps increasing in distribution Networks, overvoltage due to reverse power flow is an urgent issue to be addressed. This paper proposes a voltage regulation method by utilizing the voltage control capability of PV inverters. A novel Network Partition approach based on a community detection algorithm is presented to realize zonal voltage control in a shorter control response time using the minimum amount of reactive power compensation and active power curtailment. An improved modularity index that considers local reactive power balance is introduced to Partition a distribution Network into several clusters/communities with PVs based on the node voltage sensitivity analysis. An optimal reactive and active power control strategy is proposed for voltage control in each cluster. The voltage management of the overall system can be achieved by controlling each cluster separately. The proposed approach is applied to the voltage control of a practical 10 kV, 37-node feeder. Case studies on the real distribution Network and a modified IEEE 123-node system are carried out to verify the feasibility and effectiveness of the proposed method.
M. Sugumaran - One of the best experts on this subject based on the ideXlab platform.
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Optimal hybrid broadcast scheduling and adaptive cooperative caching for spatial queries in road Networks
Journal of Ambient Intelligence and Humanized Computing, 2017Co-Authors: M. Veeresha, M. SugumaranAbstract:Wireless broadcast is an efficient strategy for disseminating data to a large population of clients in road Networks. Network Partition Index (NPI) does not address how to handle the environment effectively when the data objects are increased to a large number in broadcast system and physical restrictions of clients which include low bandwidth, mobility, limited energy and capacity. To address these problems, an NPI based air index, called Spatial Air Index (SAI) has been proposed by using Optimal Hybrid Broadcast (OHB) scheduling and Adaptive Cooperative Caching (ACC) for spatial queries in road Networks. Experiments are conducted for evaluating query performance and comparison of SAI with state-of-the-art NPI. The experimental results show that SAI outperforms the rest.
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Hybrid spatial air index for processing queries in road Networks
Cluster Computing, 2017Co-Authors: M. Veeresha, M. SugumaranAbstract:In case of road Networks, for the clients to disseminate data, wireless broadcast is a scalable and secure strategy. As far as Network Partition index (NPI) is concerned, it doesn’t address certain problems; as to how to handle if there has been a large number of data objects in broadcast system, in the same way how to handle link errors and cache management. Hence, to address such problems, hybrid spatial air index (HSAI) an NPI based air index has been proposed wherein hybrid broadcast scheduling, adaptive XOR-based Network coding and adaptive cooperative caching are effectively used for spatial queries in road Networks. Experiments are conducted for evaluating query performance and HSAI is compared with state-of-the-art NPI. The experimental results show the outperformance of HSAI.
Jing Pan - One of the best experts on this subject based on the ideXlab platform.
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Network Partition and voltage coordination control for distribution Networks with high penetration of distributed pv units
IEEE Transactions on Power Systems, 2018Co-Authors: Yuanyuan Chai, Li Guo, Chengshan Wang, Zongzheng Zhao, Jing PanAbstract:In order to solve the voltage violation problem caused by high penetration of photovoltaic (PV) units in distribution power Networks, this paper proposes a double-layer voltage control strategy based on the distribution Network Partition. By optimizing the active and reactive power outputs of PV units, the minimization objective of PV active power curtailment and Network active power loss can be achieved. In the basis of community detection algorithm, a novel cluster performance index based on the electrical distance and regional voltage regulation capability is presented to Partition a distribution Network into several clusters. The proposed double-layer voltage control strategy combines the cluster autonomous optimization and distributed intercluster coordination optimization in different time scales. The cluster autonomous optimization can eliminate intracluster voltage violation rapidly by alternately updating the intracluster optimal solution and the virtual slack bus voltage. The distributed intercluster coordination optimization with a long-time scale is based on the alternating direction method of multipliers and realizes global optimal control through finite boundary data exchange among adjacent clusters. The effectiveness and feasibility of the proposed method have been demonstrated via simulation tests on a real 10.5 kV feeder in China and the IEEE 123-bus system.
Shu Lin - One of the best experts on this subject based on the ideXlab platform.
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a fast Network Partition method for large scale urban traffic Networks
Journal of Control Theory and Applications, 2013Co-Authors: Zhao Zhou, Shu LinAbstract:In order to control the large-scale urban traffic Network through hierarchical or decentralized methods, it is necessary to exploit a Network Partition method, which should be both effective in extracting subNetworks and fast to compute. In this paper, a new approach to calculate the correlation degree, which determines the desire for interconnection between two adjacent intersections, is first proposed. It is used as a weight of a link in an urban traffic Network, which considers both the physical characteristics and the dynamic traffic information of the link. Then, a fast Network division approach by optimizing the modularity, which is a criterion to distinguish the quality of the Partition results, is applied to identify the subNetworks for large-scale urban traffic Networks. Finally, an application to a specified urban traffic Network is investigated using the proposed algorithm. The results show that it is an effective and efficient method for Partitioning urban traffic Networks automatically in real world.
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a dynamic Network Partition method for heterogenous urban traffic Networks
International Conference on Intelligent Transportation Systems, 2012Co-Authors: Zhao Zhou, Shu LinAbstract:Recently, it has been shown that Macroscopic Fundamental Diagrams(MFDs) existing in large scale urban traffic Networks paly an important role in dynamic traffic management, traffic signal control and mitigation of urban traffic congestion. A well defined MFD can be derived from a homogeneous urban traffic Network with similar traffic conditions. In reality, however, most large scale traffic Networks are usually heterogeneous Networks with various road types and uneven distribution of congestion. In order to use the MFD concept for controlling the large scale urban traffic Network through hierarchical or decentralized methods, it is necessary to exploit a Network Partition method, which should be both effective in extracting homogeneous sub-Networks and fast to compute. In this paper, a new approach to calculate the correlation degree, which describes the traffic conditions between two adjacent intersections quantitatively, is first proposed. Then, a fast Network division approach by optimizing the modularity, which is a criterion to distinguish the quality of the Partition results, is applied to identify the homogeneous sub-Networks for large scale urban traffic Networks. Finally, an application to a specified urban traffic Network is investigated by using the proposed algorithm. The results show that it is an effective and efficient method for Partitioning heterogeneous urban traffic Networks automatically.
