Energy Loss Allocation in Smart Distribution Systems with Electric Vehicle Integration

Abstract

This paper presents a three-phase loss allocation procedure for distribution networks. The key contribution of the paper is the computation of specific marginal loss coefficients (MLCs) per bus and per phase expressly considering non-linear load models for Electric Vehicles (EV).The method was applied in a unbalanced 12.47 kV feeder with 12,780 households and 1000 EVs under peak and off-peak load conditions. Results obtained were also compared with the traditional roll-in embedded allocation procedure (pro rata) using non-linear and standard constant power models. Results show the influence of the non-linear load model in the energy losses allocated. This result highlights the importance of considering an appropriate EV load model to appraise the overall losses encouraging the use and further development of the methodology

Methods and Concepts for Designing and Validating Smart Grid Systems

“…The authors in [5] were able to demonstrate through simulations that their proposed effective filtering approach (EFA), to improve network traffic performance for the high-availability seamless redundancy (HSR) protocol, reduces network unicast traffic by up to 80%. Simulation of an unbalanced 12.47-kV feeder with 12,780 households and 1000 electric vehicles (EV) under peak and auxiliary load conditions was conducted in [6] to analyse a three-phase loss allocation procedure for distribution networks. The authors in [7] in turn simulated a well-known IEEE 14 bus test system for analysing a developed data mining algorithm.…”

Electric Vehicle Charging Strategy for Isolated Systems with High Penetration of Renewable Generation

“…This generates zero emissions while driving, and electricity production causes its only footprint. However, a massive introduction to the grid could create negative impacts [5][6][7][8], and create new challenges for the power systems [9,10]. In particular, a massive introduction of EVs in distribution networks that have a high penetration of renewable electricity generation is even more complicated because of some issues, such as impacts on the performance of parking lot operators [11], power systems security [12], and planning of RES Sources [13].…”