Design of incentive-based demand response programs using inverse optimization

摘要

An incentive design method is proposed for incentive-based demand response programs targeting residential consumers. Consumers are modelled as decision-makers and their models represent, unlike existing models, dynamical nature of power consumption behaviors. The design is done based on inverse optimization. The degree of freedom that exists in the solution can be effectively utilized to make the demand response program acceptable for consumers and economically efficient for power suppliers. Simulation tests using reinforcement learning have shown that the designed incentive works as expected.