scholarly journals Smart Meter Data Based Load Forecasting and Demand Side Management in Distribution Networks With Embedded PV Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 2631-2644 ◽  
Author(s):  
Zafar A. Khan ◽  
Dilan Jayaweera
Keyword(s):  
Load Forecasting ◽  
Demand Side Management ◽  
Distribution Networks ◽  
Smart Meter ◽  
Demand Side ◽  
Pv Systems

scholarly journals Optimal Scheme with Load Forecasting for Demand Side Management (DSM) in Residential Areas

2013 ◽  
Vol 05 (04) ◽  
pp. 889-896 ◽  
Author(s):  
Mohamed AboGaleela ◽  
Magdy El-Marsafawy ◽  
Mohamed El-Sobki
Keyword(s):  
Load Forecasting ◽  
Demand Side Management ◽  
Demand Side ◽  
Residential Areas ◽  
Optimal Scheme

scholarly journals Demand Side Management Effects on Substation Transformer Capacity Limits

2019 ◽  
Vol 9 (16) ◽  
pp. 3266 ◽  
Author(s):  
Kerry D. McBee ◽  
Jacquelyn Chong ◽  
Prasanth Rudraraju
Keyword(s):  
High Harmonic ◽  
Emergency Operation ◽  
Demand Side Management ◽  
Normal Operation ◽  
Demand Side ◽  
Load Profile ◽  
Capacity Limits ◽  
Pv Systems ◽  
Ieee Standards

In high penetrations, demand side management (DMS) applications augment a substation power transformer’s load profile, which can ultimately affect the unit’s capacity limits. Energy storage (ES) applications reduce the evening peaking demand, while time-of-use rates incentivize end-users to charge electric vehicles overnight. The daily load profile is further augmented by high penetrations of photovoltaic (PV) systems, which reduce the midday demand. The resulting load profile exhibits a more flattened characteristic when compared to the historical cyclic profile. Although the initial impact of PV and ES applications may reduce a unit’s peak demand, long-term system planning and emergency conditions may require operation near or above the nameplate rating. Researchers have already determined that a flattened load profile excessively ages a unit’s dielectrics more rapidly. The focus of this research was to identify an approach for establishing new transformer capacity limits for units serving flattened load profiles with a high harmonic content. The analysis utilizes IEEE standards C57.91 and C57.110 to develop an aging model of a 50 MVA SPX Waukesha transformer. The results establish a guideline for determining transformer capacity limits for normal operation, long-term emergency operation, and short-term emergency operation when serving systems with high penetrations of DSM applications.

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