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

doi:10.11985/2017.04.002

Abstract

Abstract:

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.

Key words: Smart power utilization, home energy management, user′s satisfaction

CLC Number:

TM734

Ji Shuyan,Li Dongwei. Research on Intelligent Electricity Energy Scheduling Method Based on User's Satisfaction[J]. Journal of Electrical Engineering, 2017, 12(4): 10-17.

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负荷名称	功率/kW	允许工作时间段	工作时间/h
洗干一体机	2	8：00~18：00	2
电饭锅	1.2	10：00~13：00	0.75
吸尘器	1.2	9：00~18：00	0.5
空调	2.2	全天	–
热水器	3/1.5	19：15~23：00	–
照明灯	0.12	18：00~24：00	6
笔记本	0.1	18：00~24：00	6

负荷名称	调度前	调度后
洗干一体机	8：00~10：00	12：00~14：00
电饭锅	10：00~10：45	10：15~11：00
吸尘器	9：00~9：30	14：00~14：30
空调	25~27℃	24.22~27.78℃
热水器	53~57℃	51.35~58.65℃

场景	舒适性	用户花费/元
场景1	5	6.74
场景2	2.58	5.57
场景3	4.47	6.11

负荷名称	运行情况
洗干一体机	11：15~13：15
电饭锅	10：15~11：00
吸尘器	9：00~9：30
空调	24.98~27.02℃
热水器	52.59~57.41℃
照明灯	18：00~24：00
笔记本	18：00~24：00