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- Title
基于需求响应的家庭能量双层优化调度.
- Authors
王 辉; 方 航; 金子蓉; 李旭阳
- Abstract
With the improvement of people’ s living standards, the household power load is also gradually increasing. Aiming at reducing household power expenditure, and based on the demand responseand and the environment of time phased pricing, a two-tier optimization strategy is adopted. Firstly, the upper layer of the strategy is the classified dispatching of household electrical equipment. Through the classified adjustment of household equipment, the schedulable load can be adjusted from the time period of high electricity price to the normal and valley periods of low electricity price, so as to greatly reduce the power consumption expenditure of household users; Secondly, the lower layer adjusts the output period of photovoltaic power generation equipment and energy storage equipment, and makes rational and efficient use of photovoltaic energy through the cooperation of energy storage equipment and photovoltaic equipment. Finally, taking a typical household load configuration as an example, the improved second-order oscillatory particle swarm optimization algorithm is used to analyze different scenarios such as power consumption period optimization, power consumption period and photovoltaic optimization, and verify the effectiveness of the two-tier optimal scheduling used in this paper.
- Subjects
PARTICLE swarm optimization; ENERGY storage equipment; PHOTOVOLTAIC power generation; ELECTRICITY pricing; CONSUMPTION (Economics); STANDARD of living
- Publication
Journal of Guangxi Normal University - Natural Science Edition, 2023, Vol 41, Issue 1, p38
- ISSN
1001-6600
- Publication type
Article
- DOI
10.16088/j.issn.1001-6600.2022022802