关键词: 降低用电支出, 双层优化, 分时电价, 改进二阶振荡粒子群算法

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 responseandand 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.

Key words: lower electricity bills, two-tier optimization, time of use tariff, improved second order oscillatory particle swarm optimization