Comprehensive scheduling system based on end-user experience in smart grids

The scheduling and optimizing management is the key feature of the smart grid. A large number of the scheduling and optimizing models are proposed in academia and industry. Most of these models only focus on minimizing the cost, but not concerned about the user experience. In this paper, we present a novel real-time scheduling system taking the end-user experience (EUE) as the scheduling drive. To evaluate the EUE adequately, we take the home user as the test case. The EUE model is a trade-off of expenditure, waiting time and peak power with typical appliances. Based on the hourly electricity price, equipment styles and the user using custom, we maximize the EUE in the limited peak power. The proposed method is a lightweight module and can be applied in the smart meter to help users achieve the schedule automatically with user input. Simulation results validate that EUE scheduling scheme takes less cost than no-scheduling situation and lower peak-to-average ratio (PAR) than minimizing-cost situation. It shows a better performance using proposed evaluating and scheduling scheme. The users and the utility company both benefit from it.