DEMAND FLEXIBILITY OPTIMIZING SCHEDULER FOR EV CHARGING AND CONTROLLING APPLIANCES

A system for integrating electric loads into the utility electric grid in a cost-effective, emissions-minimizing way. The system generates and implements a computer-readable series of instructions for one or more of starting and stopping electrical device charging or operation powering of an electrical device's duty cycle. The system includes a planning server including an optimization engine, one or more processors, and a memory device storing instructions thereon that when executed by the one or more processors, causes one or more of the one or more processors to: receive a charge request for charging an electrical device or operation powering of the electrical device's duty cycle, wherein the charge request includes time charge block sorting factors, generate a charging and powering schedule that includes multiple sets of disjointed time charge blocks to start and stop drawing power from a power grid to charge the electrical device or power the electrical device's duty cycle, calculate greenhouse gas emissions created during the scheduled time blocks, wherein each time charge block represents a block of time, a charge price, and a charge emissions value; and sort the time charge blocks in the charging and powering schedule using sorting factors that include price, emissions, solar availability, and combinations therein. Applied to a large number of devices, this system enables integration of devices like smart hot water heaters and electric vehicles into a utility's electric grid with reduced capacity need, avoiding capital expenses and lower operating expenses, while also minimizing carbon emissions and other air pollution.