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Scheduling of household power consumption for Step and Time-of-Use tariff system |
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| Authors: | Jingtao Guo Zhigang Jin Huaidong Liu |
| Institution: | 1. School of Computer Science and Technology, Tianjin University, Tianjin 300072, China;Tianjin Institute of Metrological Supervision and Testing, Tianjin 300192, China 2. School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China 3. School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China |
| Abstract: | This paper proposes a hybrid optimization to solve the scheduling of household power consumption for Step and Time-of-Use (TOU) tariff system. The target function is the cost of electricity, and the optimization object is total instantaneous power within a billing period. The control variables are starting moments of each household appliance. The optimization procedure is divided into two stages. Firstly, the prerequisite for minimal cost is calculated through mathematical analysis and generalized function theory. Secondly, the solution is obtained by using a heuristic algorithm in which the result of the first stage is considered to reduce the searching space. And an evaluation methodology is deduced to evaluate the optimization. The computer simulation demonstrates that the proposed approach can reduce the cost of electricity evidently in the sense of probability. The approach shows great value for embedded applications. |
| Keywords: | smart grid scheduling optimization TOU tariff step tariff heuristic algorithm genetic algorithm |
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