Feng Li

Sujets de recherche

Apprentissage par renforcement

Modèles probabilistes

Optimisation

Publications

Inferring electric vehicle charging patterns from smart meter data for impact studies

Élodie Campeau

Ilhan Kocar

2024-10-01

Electric power systems research (publié)

Inferring electric vehicle charging patterns from smart meter data for impact studies

Élodie Campeau

Ilhan Kocar

2024-10-01

Electric power systems research (publié)

Inferring electric vehicle charging patterns from smart meter data for impact studies

Élodie Campeau

Ilhan Kocar

2024-10-01

Electric power systems research (publié)

A Rapid Method for Impact Analysis of Grid-Edge Technologies on Power Distribution Networks

Ilhan Kocar

This paper presents a novel rapid estimation method (REM) to perform stochastic impact analysis of grid-edge technologies (GETs) to the powe… (voir plus)r distribution networks. The evolution of network states' probability density functions (PDFs) in terms of GET penetration levels are characterized by the Fokker-Planck equation (FPE). The FPE is numerically solved to compute the PDFs of network states, and a calibration process is also proposed such that the accuracy of the REM is maintained for large-scale distribution networks. The approach is illustrated on a large-scale realistic distribution network using a modified version of the IEEE 8500 feeder, where electric vehicles (EVs) or photovoltaic systems (PVs) are installed at various penetration rates. It is demonstrated from quantitative analyses that the results from our proposed approach have negligible errors comparing with those obtained from Monte Carlo simulations.

2024-07-21

2024 IEEE Power & Energy Society General Meeting (PESGM) (publié)

Mitigating Equipment Overloads due to Electric Vehicle Charging Using Customer Incentives

Ilhan Kocar

This paper first presents a time-series impact analysis of charging electric vehicles (EVs) to loading levels of power network equipment con… (voir plus)sidering stochasticity in charging habits of EV owners. A novel incentive-based mitigation strategy is then designed to shift the EV charging from the peak hours when the equipment is overloaded to the off-peak hours and maintain equipment service lifetime. The incentive level and corresponding contributions from customers to alter their EV charging habits are determined by a search algorithm and a constrained optimization problem. The strategy is illustrated on a modified version of the IEEE 8500 feeder with a high EV penetration to mitigate overloads on the substation transformer.

2023-07-16

2023 IEEE Power & Energy Society General Meeting (PESGM) (publié)