A Power Monitoring and Control System to minimize electricity demand costs associated with Electric Vehicle charging stations

Analysis of forecasting algorithms for minimization of electric demand costs for electric vehicle charging in commercial and industrial environments

“…Table II summarizes the characteristics of the forecasting models tested. The simulations run in this study provided a prediction for a 2.5 month period, however when integrated into the PMCS [8,9] the forecast algorithm will run for every 15 minute demand period. Errors represented by the MAE and MAPE in Table II will be further reduced by forecasting the short term 15 minute demand as compared to the 2.5 month long term period forecasted in these trials.…”

“…The difference is divided by the charging load of a typical EVSE to determine the number of vehicles that can charge without driving the peak demand higher. Further details of system design and functionality are provided in [8]. IV.…”

“…The PMCS described in [8] is a modular control system that can be implemented in C&I applications where EV charging infrastructure has been installed. It provides intelligent charge control by integrating the EVSE, the BEV / PHEV, and the utility meter into a smart grid network of interconnected devices.…”

“…An intelligent EV charge control system has been proposed in [8] that will limit the increase in peak demand while still providing a full charge cycle in an adequate time. A summary of this design is presented here along with simulation results using real measured data for various demand forecasting algorithms utilized by the Power Monitoring and Control System (PMCS).…”

Development of a power monitoring and control system to provide demand side management of electric vehicle charging activity.

“…However, it proves the significant impact EV charging can have on C&I consumers. Approximately 90% of the total electricity cost is due to the peak demand cost which creates a great disincentive for large scale EV adoption [5] [6]. A number of assumptions are made when calculating the values represented in Table 1.…”