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Titlebook: Reliability Modeling and Analysis of Smart Power Systems; Rajesh Karki,Roy Billinton,Ajit Kumar Verma Book 2014 Springer India 2014 Power

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樓主: GALL
31#
發(fā)表于 2025-3-27 00:37:23 | 只看該作者
32#
發(fā)表于 2025-3-27 01:41:45 | 只看該作者
Security of Supply in Active Distribution Networks with PHEV-Based Strategic Microgrids,rity of power supply to consumers. The PHEV-based strategic microgrids would not always be the same strategic microgrids with increased penetration of intermittent DG. Strategic ability of PHEV-based microgrids dynamically change with increased penetration of DG.
33#
發(fā)表于 2025-3-27 08:24:43 | 只看該作者
Operational Characteristics of Microgrids with Electric Vehicles,ted load or storage capacity under the vehicle-to-grid (V2G) concept. This chapter reviews the MG architecture considering EV and focuses on the impact of their active participation on the MG frequency regulation in emergency conditions (namely in islanding operating mode). Voltage unbalance issues
34#
發(fā)表于 2025-3-27 12:27:30 | 只看該作者
Protection System Reliability Assessment Considering Smart Grid Technologies,ernative digitized protection schemes supported by an IED and a communication system. The reliability of each scheme is assessed using event tree analysis (ETA). An application to a breaker oriented system is illustrated. Sensitivity analysis is conducted to assess the effect of the protection syste
35#
發(fā)表于 2025-3-27 16:49:34 | 只看該作者
Smart Charging of Plug-in Electric Vehicles Under Driving Behavior Uncertainty,rces and dispatching them with a multiperiod optimal power flow (OPF). To take driving pattern uncertainty into consideration, different possible realizations of individual driving patterns are generated with a Monte Carlo simulation, modeling individual driving behavior with non-Markov chains. This
36#
發(fā)表于 2025-3-27 18:28:36 | 只看該作者
Multivariate Stochastic Modeling of Plug-in Electric Vehicles Demand Profile Within Domestic Grid,t for the individual PEVs in order to derive the hourly aggregated load profile of the fleet. Afterwards, probability density function of the aggregated load of the PEVs within each hour is estimated by applying the Monte Carlo simulation. Eventually, the expected value of the hourly load demand can
37#
發(fā)表于 2025-3-28 01:03:39 | 只看該作者
38#
發(fā)表于 2025-3-28 03:08:06 | 只看該作者
39#
發(fā)表于 2025-3-28 06:39:54 | 只看該作者
Reliable and Sustainable Electric Power and Energy Systems Managementhttp://image.papertrans.cn/r/image/826358.jpg
40#
發(fā)表于 2025-3-28 11:48:46 | 只看該作者
https://doi.org/10.1007/978-81-322-1798-5Power System Operation; Power System Planning; Power System Reliability; Power System Security; Wind Pow
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