基于用户满意度的智能用电能量调度方法研究

Research on Intelligent Electricity Energy Scheduling Method Based on User's Satisfaction

提出一种家庭能量调度管理优化方法。从用户侧角度出发,利用光蓄互补的发电模型并采用余电上网的出售方式,建立实时电价环境下的智能家居负荷运行、储能模型,综合考虑以减少用户用电成本和兼顾用户舒适性为目标进行优化。在可延迟负荷和可中断负荷的舒适性研究基础上,本文建立了面向用户舒适性的智能用电调度管理目标函数,在相关约束条件下创新性地利用粒子群算法获得优化参数,指导用电侧能量调度管理。在满足价格激励型需求响应的同时,尽可能顾及用户的舒适性,并建立用户满意度模型,综合考虑花费满意度和舒适性满意度。最后,验证了基于用户满意度的智能用电研究的正确性。

A kind of optimization method is applied to household energy scheduling management. From the perspective of the user side, the optical storage complementary power generation model and the surplus electricity online sale way are used, a real-time intelligent household electricity environment load operation and energy storage model are established. It should optimize the goal by considering to reduce the power cost and satisfy the user＇s comfort. In deferrable load based on the study and comfort of interruptible load, a user-oriented comfort of intelligent power dispatching management objective function is established in the paper, and the particle swarm algorithm is used to optimize parameters under the relevant constraints innovative. It can guide the energy scheduling management in electricity side. This way can satisfy the user＇s comfortableness, establish user satisfaction model and consider cost satisfaction and comfort degree satisfaction in response to meet the demand of price incentive model of at the same time. Finally, the correctness of the smart electricity research is verified based on customer satisfaction in the paper.