Economic Management of an Intelligent Parking Lot Using a Time-Based Load Response Program

The importance of intelligent parking lots has increased with the smarter power grids and the addition of vehicle technology to the grid on electric cars. Intelligent parking lots have many features requiring an innovative and optimal energy management program to benefit from. Therefore, providing a comprehensive and optimal model for energy management of electric car parking lots in intelligent networks is one of the basic needs of the owners and operation of electric car parking lots. According to this issue, this paper presents a comprehensive model for more optimal use of bright parking lots. In this model, to participate more optimally in the next-day market, an artificial neural network is first trained to predict the overall demand for parking charges and the number of cars in the parking lot every hour of the next day. In continuation of the problem of parking participation planning in the day-ahead market, the real-time market and the intelligent charging/discharging of cars have been formulated simultaneously. The proposed model provides the possibility of predicting parking lot charging demand using a neural network, participation in the day-ahead market and balance market, and the possibility of using the ability to discharge electric cars for the parking lot operator. This model is formulated as a mixed correct linear programming to maximize the profit of the parking garages. In the proposed method, the algorithm performs fast calculations, and this method also has the ability to be implemented practically. The simulation results demonstrate that the suggested approach could boost intelligent parking's profit significantly.