I do not believe that this problem can be solved by dynamic programming.

Assuming a small electric vehicle charging service providers to provide charging services for 100 electric cars in that cell, centralized dispatching of electric vehicle charging, in order to meet the users second days travel demand, reduce charging fees.
If electric vehicles every day can only at home (the day before the time between home and away from home second days time) access to the grid, vehicle battery capacity is 33kWh, charging power limit is 3kW, mileage and energy consumption into a linear relationship, each kwh of electricity can travel 6.7km, in order to ensure the battery not because of excessive discharge leads to life loss, limited battery power limit value of 10% of its capacity, scheduling step is 15min. At the same time, in order to ensure the electric vehicle charging load does not lead to cell line overload limit at the same time, charging vehicles less than 20 vehicles. Now the day before the home time, known 100 car second days time, home the day before the home energy, second days is expected to go the distance and time price. Service providers to charge the total charge expenses minimum as the goal, making centralized charging vehicle scheduling strategy.

Started by Barry at February 07, 2016 - 8:34 PM

This feels like a multi threading issues...

Posted by Loren at January 06, 2017 - 6:57 PM

The appropriate use of what method?

Posted by Barry at January 09, 2017 - 7:50 PM

You can reference the operating system process scheduling algorithm
1 first come first service scheduling
2 short process priority scheduling

Posted by Carry at January 11, 2017 - 6:55 PM