TY - JOUR
T1 - Unlocking distribution network capacity through real-time thermal rating for high penetration of DGs
AU - Degefa, Merkebu
AU - Humayun, Muhammad
AU - Safdarian, Amir
AU - Koivisto, Matti
AU - Millar, John
AU - Lehtonen, Matti
PY - 2014
Y1 - 2014
N2 - Highly stochastic loading in the emerging active distribution networks means that electric utilities need to use their assets to the fullest by deploying intelligent network management tools. Real-time thermal rating (RTTR) provides possibility for short term and even real-time active distribution network management enabling the network to run closer to an overload state without damage. In this study, a RTTR based active distribution network management framework is formulated giving hour-by-hour network capacity limits. Relationships of stochasticities in customer loads and DG output with thermal responses of underground cables, overhead lines and distribution transformers are explained. RTTR is applied on all distribution network components with simulated scenarios involving various levels of DG penetration. This study quantifies the potential for an increased DG utilization and an increased potential for new DG installations when RTTR is integrated with distribution management systems.
AB - Highly stochastic loading in the emerging active distribution networks means that electric utilities need to use their assets to the fullest by deploying intelligent network management tools. Real-time thermal rating (RTTR) provides possibility for short term and even real-time active distribution network management enabling the network to run closer to an overload state without damage. In this study, a RTTR based active distribution network management framework is formulated giving hour-by-hour network capacity limits. Relationships of stochasticities in customer loads and DG output with thermal responses of underground cables, overhead lines and distribution transformers are explained. RTTR is applied on all distribution network components with simulated scenarios involving various levels of DG penetration. This study quantifies the potential for an increased DG utilization and an increased potential for new DG installations when RTTR is integrated with distribution management systems.
KW - Active network management; Distributed generation control; Load forecasting; Power flow; Real-time thermal rating; State estimation
KW - Active network management; Distributed generation control; Load forecasting; Power flow; Real-time thermal rating; State estimation
KW - Active network management
KW - Distributed generation control
KW - Load forecasting
KW - Power flow
KW - Real-time thermal rating
KW - State estimation
UR - http://www.sciencedirect.com/science/article/pii/S0378779614002879#
U2 - 10.1016/j.epsr.2014.07.032
DO - 10.1016/j.epsr.2014.07.032
M3 - Article
SN - 0378-7796
VL - 117
SP - 36
EP - 46
JO - Electric Power Systems Research
JF - Electric Power Systems Research
ER -