The Experts below are selected from a list of 46500 Experts worldwide ranked by ideXlab platform
A A Solomon - One of the best experts on this subject based on the ideXlab platform.
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the role of large scale energy storage design and dispatch in the power grid a study of very high grid penetration of variable renewable resources
Applied Energy, 2014Co-Authors: A A Solomon, Daniel M Kammen, Duncan S CallawayAbstract:We present a result of hourly simulation performed using hourly load data and the corresponding simulated output of wind and solar technologies distributed throughout the state of California. We examined how we could achieve very high-energy penetration from intermittent renewable system into the electricity grid. This study shows that the maximum threshold for the storage need is significantly less than the daily average demand. In the present study, we found that the approximate network energy storage is of the order of 186GWh/22GW (approximately 22% of the average daily demands of California). Allowing energy dumping was shown to increase storage use, and by that way, increases grid penetration and reduces the required backup conventional Capacity Requirements. Using the 186GWh/22GW storage and at 20% total energy loss, grid penetration was increased to approximately 85% of the annual demand of the year while also reducing the conventional backup Capacity Requirement to 35GW. This Capacity was sufficient to supply the year round hourly demand, including 59 GW peak demand, plus a distribution loss of about 5.3%. We conclude that designing an efficient and least cost grid may require the capability to capture diverse physical and operational policy scenarios of the future grid.
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the role of conventional power plants in a grid fed mainly by pv and storage and the largest shadow Capacity Requirement
Energy Policy, 2012Co-Authors: A A Solomon, D Faiman, G MeronAbstract:Abstract Recently we reported that PV penetration of up to approximately 90% of the annual demand of the Israeli electricity grid could be achieved using properly sized storage and an appropriate operation strategy. Such a grid clearly requires some conventional generating Capacity to be available in order to serve as backup at times when the PV-storage combination alone fails to meet the demand. In the present continuation of that study, we evaluate the largest conventional Capacity that would have been required during the one year of data employed for our simulations. For that year, 2006, the required backup Capacity for a grid with flexibility ff=0.8 and ff=1 would have been 7.5 GW and 6.6 GW, respectively. This is significantly less than the 10.5 GW of generating Capacity that the Israel Electric Corporation operated that year. Our finding emphasizes the fact that a full economic optimization of storage must be based primarily on the engineering-aspects of storage design and use.
Husheng Li - One of the best experts on this subject based on the ideXlab platform.
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communication Requirement for reliable and secure state estimation and control in smart grid
IEEE Transactions on Smart Grid, 2011Co-Authors: Husheng Li, Lifeng Lai, Weiyi ZhangAbstract:System state estimation and control are important issues to ensure the stability and reliability of the smart grid system. In this paper, the problem of how to securely estimate the system state and control the smart grid is studied. In the setup studied, the sensor(s) and the controller communicate with each other through a wireless channel subjected to monitoring by an eavesdropper. The channel Capacity Requirement that ensures negligible information leakage to the eavesdropper about the system state and control messages is studied from the information theoretic perspective. Two scenarios with single sensor or multiple sensors are studied. Numerical simulations are used to evaluate the Capacity Requirement in typical configurations of the smart grid.
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communication Capacity Requirement for reliable and secure state estimation in smart grid
International Conference on Smart Grid Communications, 2010Co-Authors: Husheng LiAbstract:Secure system state estimation is an important issue in smart grid to assure the reliability and security. In this paper, the case of a single observation station and Gaussian noise communication channel with an eavesdropper is considered. The channel Capacity Requirement is studied from the information theoretic perspective. The smart grid is modeled as a linear dynamic system. Then, the channel Capacity Requirement is studied for the state estimation of general linear dynamic systems and then applied in the system state estimation in smart grid. Numerical simulations are used to evaluate the Capacity Requirement in typical configurations of smart grid.
Ningsheng Cai - One of the best experts on this subject based on the ideXlab platform.
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strategy for renewable energy storage in a dynamic distributed generation system
Energy Procedia, 2017Co-Authors: Yu Luo, Yixiang Shi, Yi Zheng, Zhongxue Gan, Ningsheng CaiAbstract:Abstract Renewable energy (RE) is expected to be the major part of the future energy. Presently, the intermittence and fluctuation of RE lead to the limitation of its penetration. To solve this problem, energy storage device is in demand. In this paper, the energy storage strategy was designed to improve the RE penetration and dynamic operation stability in a distributed system coupling wind generators, internal combustion engine and RSOFC. By compromising the relative deviation of power supply and demand, RE penetration, system efficiency and Capacity Requirement, the strategy that no more than 36% of the maximum wind power output is directly supplied to users and the other is stored by the reversible solid oxide fuel cell is optimal for the distributed system. This strategy can better utilize the wind power and remarkable alleviate the wind curtailment problem.
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reversible solid oxide fuel cell for natural gas renewable hybrid power generation systems
Journal of Power Sources, 2017Co-Authors: Yu Luo, Yixiang Shi, Yi Zheng, Ningsheng CaiAbstract:Abstract Renewable energy (RE) is expected to be the major part of the future energy. Presently, the intermittence and fluctuation of RE lead to the limitation of its penetration. Reversible solid oxide fuel cell (RSOFC) as the energy storage device can effectively store the renewable energy and build a bidirectional connection with natural gas (NG). In this paper, the energy storage strategy was designed to improve the RE penetration and dynamic operation stability in a distributed system coupling wind generators, internal combustion engine, RSOFC and lithium-ion batteries. By compromising the relative deviation of power supply and demand, RE penetration, system efficiency and Capacity Requirement, the strategy that no more than 36% of the maximum wind power output is directly supplied to users and the other is stored by the combination of battery and reversible solid oxide fuel cell is optimal for the distributed system. In the case, the RE penetration reached 56.9% and the system efficiency reached 55.2%. The maximum relative deviation of power supply and demand is also lower than 4%, which is significantly superior to that in the wind curtailment case.
G Meron - One of the best experts on this subject based on the ideXlab platform.
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the role of conventional power plants in a grid fed mainly by pv and storage and the largest shadow Capacity Requirement
Energy Policy, 2012Co-Authors: A A Solomon, D Faiman, G MeronAbstract:Abstract Recently we reported that PV penetration of up to approximately 90% of the annual demand of the Israeli electricity grid could be achieved using properly sized storage and an appropriate operation strategy. Such a grid clearly requires some conventional generating Capacity to be available in order to serve as backup at times when the PV-storage combination alone fails to meet the demand. In the present continuation of that study, we evaluate the largest conventional Capacity that would have been required during the one year of data employed for our simulations. For that year, 2006, the required backup Capacity for a grid with flexibility ff=0.8 and ff=1 would have been 7.5 GW and 6.6 GW, respectively. This is significantly less than the 10.5 GW of generating Capacity that the Israel Electric Corporation operated that year. Our finding emphasizes the fact that a full economic optimization of storage must be based primarily on the engineering-aspects of storage design and use.
Hidetoshi Kayama - One of the best experts on this subject based on the ideXlab platform.
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Investigation of massive MIMO in dense small cell deployment for 5G
IEEE Vehicular Technology Conference, 2017Co-Authors: Xiaolin Hou, Huiling Jiang, Xin Wang, Hidetoshi KayamaAbstract:To meet the challenging Capacity Requirement of 5G, a set of radio access technologies may be needed, including technologies to improve the spectrum efficiency, to utilize more available spectrum, and network densification, etc. In this paper, we focus on how to combine massive multiple-input and multiple-output (MIMO) and dense small cell (DSC) deployment to boost the system Capacity. Under the framework of adjacent channel heterogenous network (HetNet) architecture, clustered small cell deployment with two dimensional active antenna array system (2D AAS) is investigated. The suitable massive MIMO array structure is identified for small cell deployment. Then the coverage issue of clustered small cell deployment with the directional 2D AAS is examined and both packet throughput and area throughput are evaluated with the increasing antenna number as well as the increasing small cell density. Based on the system-level simulation results, the combination of massive MIMO and DSC is revealed to be a promising solution for 5G. Moreover, considering the balance between performance and cost, we further discuss the low-cost massive MIMO scheme for small cell, i.e., hybrid beamforming, and list several challenges to be addressed.
