基于效用理论的智能家居多级负荷满意度建模及用电优化策略研究

Research on the Modeling of Multi-stage Load Satisfaction and Power Consumption Optimization Strategy Based on Utility Theory

针对一种家庭用户负荷优化问题进行研究,采用经济学中的效用理论模拟用户使用电器的满意程度,进而指导电力用户制定用电优化策略。首先,考虑包含储能设备、电动汽车等新能源设备的居民负荷,根据其电能消耗与用户满意程度的耦合特性,建立相应的负荷模型和效用函数。在此基础上,提出一种基于效用理论的家庭负荷用电优化策略,基于非线性规划模型,采用遗传算法—非线性规划相结合的寻优算法,求解各设备在各运行时段的最优运行功率,使其在分时电价下达到净效用最大化。最后,通过在典型家庭用电场景下进行仿真分析。结果表明,本算法可在保障用户满意度的基础上实现良好的优化效果。

A kind of residential load optimization problem is studied, and the utility theory in economics is used to simulate the satisfaction degree of the users in using electrical appliances, which is to guide the power consumers to develop power consumption optimization strategies. Firstly, residential loads of the new energy equipments, including energy storage equipments and electric vehicles, are considered, and the corresponding load models and utility functions are established according to the coupling characteristics of the power consumption and the degree of customer satisfaction. On this basis, a power consumption optimization strategy based on the utility theory for residential loads is put forward. Based on the nonlinear programming model, an optimization algorithm combining genetic algorithm and nonlinear programming is used to solve the optimal operation power of each equipment in each operation period, making it achieve the maximization of net utility based on time-of-use （TOU） price. Finally, the simulation analysis of typical household electricity scenarios is made, and the results show that the algorithm can achieve a good optimization effect on the basis of ensuring user satisfaction.