Rooftop Photovoltaic Hosting Capacity Assessment: A Case Study of Rural Distribution Grids in Yogyakarta, Indonesia

Optimizing the grid structure becomes necessary in case of post-emergency power restoration or when overloaded. In normal operation, distribution grid parameters are adjusted to reduce the overload and the electricity losses; reconfiguration is not considered. The grid topology is reconfigurable by solving the optimization problem by the branch-and-bound algorithm subject to keeping the parameters within their acceptable limits in the context of line resistance, electricity losses, and power flows for all possible grid layouts. Simulation of a 10-kV distribution grid with four power centers shows that reconfiguring reduces power consumption by 2.9% and the inline active power losses by 256 kW. In this case study, reconfiguring has helped keep the voltage within the acceptable range while not overloading the lines. This study shows the proposed approach is suitable for dynamic grid reconfiguration as a way to reduce the overload and the electricity losses; at the same time, the approach does not require calculating nonlinear steady-state equations for each possible grid topology.

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Uncovering climate (in)justice with an adaptive capacity assessment: A multiple case study in rural coastal North Carolina

Land Use Policy ◽

10.1016/j.landusepol.2020.104547 ◽

2020 ◽

Vol 94 ◽

pp. 104547 ◽

Cited By ~ 1

Author(s):

Matthew Jurjonas ◽

Erin Seekamp ◽

Louie Rivers ◽

Bethany Cutts

Keyword(s):

North Carolina ◽

Adaptive Capacity ◽

Multiple Case Study ◽

Capacity Assessment ◽

Multiple Case

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Predictive Comprehensive Carrying Capacity Assessment for Marine Reclamation with Hydrodynamics, Ecology and Sediment

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.522-524.774 ◽

2014 ◽

Vol 522-524 ◽

pp. 774-777

Author(s):

Ming Chang Li ◽

Qi Si ◽

Guang Lou Li ◽

Ying Wang

Keyword(s):

Carrying Capacity ◽

Water Exchange ◽

Assessment Method ◽

Assessment Model ◽

Capacity Assessment ◽

Systematic Method ◽

Research Results ◽

Pair Coupling ◽

Comprehensive Carrying Capacity

In this paper, a systematic method is used to evaluate the comprehensive carrying capacity of marine reclamation with the predictive data of hydrodynamics, ecology and sediment. The predictive data are obtained by the numerical simulated results of hydrodynamics, water exchange, ecological loss and sediment. These data are coupled and input into a nonlinear set pair coupling assessment model for the predictive comprehensive carrying capacity assessment of marine reclamation. This method is calibrated by case study of Longqi Bay in Jinzhou China. This research results show that the predictive comprehensive carrying capacity assessment method is essential for guiding the marine reclamation.

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