Algorithmically Developing Efficient Time-of-Use Electricity Rates
An optimization method for designing time-of-use rates, replacing a regulator’s sense of reasonableness with rates that minimize the gap between TOU and hourly costs — and that let competing designs be compared directly.
Time-of-use (“TOU”) electricity rates are challenging to design and results often rely on a regulator’s subjective sense of reasonableness. Here, I describe an objective method to develop TOU rates using optimization techniques. The method identifies rates which minimize the difference between TOU and hourly costs, thereby ensuring rates are efficient and cost based. The technique also enables direct comparison of competing designs. I conclude by demonstrating how this methodology could be applied in practice. Abstract ↓Hide abstract ↑
Time-of-use (“TOU”) electricity rates are challenging to design and results often rely on a regulator’s subjective sense of reasonableness. Here, I describe an objective method to develop TOU rates using optimization techniques. The method identifies rates which minimize the difference between TOU and hourly costs, thereby ensuring rates are efficient and cost based. The technique also enables direct comparison of competing designs. I conclude by demonstrating how this methodology could be applied in practice.