2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2) 2018
DOI: 10.1109/ei2.2018.8582294
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Review on distribution network planning methods considering large-scale access of flexible load

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Cited by 4 publications
(3 citation statements)
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“…To improve the speed of emergency communication network construction, to provide guarantee for power emergency repair, to establish a model to optimize the selection of two base stations, so that they can better avoid the shelter of tall buildings, to achieve good communication inside and outside the disaster area [7] . At the same time, domestic and foreign scholars are also studying how to identify and eliminate bad data from power grid data.…”
Section: Research On Key Technologies Of Load Forecastingmentioning
confidence: 99%
“…To improve the speed of emergency communication network construction, to provide guarantee for power emergency repair, to establish a model to optimize the selection of two base stations, so that they can better avoid the shelter of tall buildings, to achieve good communication inside and outside the disaster area [7] . At the same time, domestic and foreign scholars are also studying how to identify and eliminate bad data from power grid data.…”
Section: Research On Key Technologies Of Load Forecastingmentioning
confidence: 99%
“…The reasons for all above problems are weakly controlled and high singularity characteristics of clean energy. And these problems are manifested in the lack of urban generation capacity and the lack of resilient power resources in urban grids with large loads [1,2] .…”
Section: Introductionmentioning
confidence: 99%
“…e impact of multi-microgrid high-permeability grid connection on distribution managers not only stays at the physical level such as the traditional trend direction, size changes, and node voltage changes, and the network reconstruction and reactive power optimization caused by it [1][2][3][4]. e solution is not only the optimization goal of the distribution network when multiple grids are connected to the grid and an optimal scheduling algorithm that seeks a global optimal solution [5][6][7].…”
Section: Introductionmentioning
confidence: 99%