Real-time Electricity Price-based Commercial Park Lithium Battery Energy Storage Variable Power Peaking And Valley Filling Strategy

With the development of society and the growth of the economy in recent years,the characteristics of user load increasing and the peak-to-valley load gap are large in the commercial park,whic h has caused the imbalance of supply and demand of the power system.The occurrence of such a situation will lead to frequent start and stop of the unit and a decrease in operating efficiency,and the reliability of the power supply will be reduced.In order to flatten the peak-to-valley difference and improve the energy utilization rate and economy,it has become one of the main means to use the energy storage device to cut the peak and fill the valley in the power system.The continuous development of energy storage technology makes its cost lower and the application range is more The wider the coming.Among them,lithium batteries have many advantages such as low cost,fast response,high charge and discharge efficiency,large power and capacity,and are not subject to geographical constraints.As an important energy storage device,lithium batteries can alleviate the difference between peaks and valleys in commercial parks.Waste of resources.At the same time,in areas where real-time electricity prices are implemented,energy storage system investors can also use the peak-to-valley load to generate revenue.In view of the above situation,this paper takes the business park as the research object,and proposes a real-time electricity price based lithium battery energy storage system variable power peak clipping strategy.The evaluation method comprehensively considers the investor's income and peak-filling effect,and compares the single evaluation index with more comprehensive and objective.This paper first analyzes the structure of the energy storage battery peak-filling system in the commercial park,and then establishes a real-time electricity price model considering the maximum social welfare,and carries out an example simulation to obtain the real-time electricity price in the park.Secondly,based on the evaluation and analysis of the economic cost and benefit of the energy storage investor,the income model of the energy storage system investor is obtained,and then the peak-filling effect is evaluated and analyzed to obtain the peak-filling effect evaluation model,and the battery charging and discharging depth is considered.The influence of charge and discharge power on its life span and the power balance in the park establish a multi-objective optimization model of the energy storage system considering the investment income and the peak-filling effect.The particle swarm optimization algorithm is used to solve the model,and the optimal charge-discharge power curve of the lithium battery energy storage system is obtained.Finally,the effectiveness of this scheme is verified by an example.