Research For Distributed Energy Operation Method Considering Demand Response Strategy

In recent years,the operation mode of power system by combining a variety of small power generation units with energy storage technology is proposed and called distributed energy generation.Wind power generation in renewable energy generation is one of the representatives.Wind power generation has the characteristics of all-time random power supply.Through the energy storage unit of distributed energy generation technology,wind power generation is stored first and then used,which changes the power consumption mode of industrial power generation.At present,the continuous development of electric vehicles’ battery swapping station fits the role of energy storage unit in distributed energy generation system.The existing research on the operation of electric vehicles’ battery swapping station focuses on the optimal power flow algorithm at the power supply side and the operation scheduling algorithm of the switching station,but few studies analyze the operation feasibility of the switching load from the perspective of the power consumption behavior of the switching load after it is added to the distributed energy system,and the user is exactly the target object in the power market.In recent years,with the continuous reform of demand side management in the power market,the demand response strategy provides a more favorable power consumption mode for the load with large power consumption,which can balance the relationship between power supply and demand while saving the power cost for users.Based on this,this paper proposes a distributed energy operation method with demand response strategy.The electric vehicles’ battery swapping station is used as the energy storage unit to absorb the power of wind power generation,and the demand response strategy based on time-of-use price is used to form complementary output with the wind power generation through the main grid at the right time,so as to ensure the necessary power demand of the electric vehicles’ battery swapping station,at the same time,the demand response based on the excitation is used to stimulate the load for additional power consumption.In the past research,various kinds of data are often used for example analysis.If the random distribution function is used to simulate the wind power generation and random power exchange load,the randomness of the wind power generation and power exchange users will be more reflected,and the results will be more able to verify the role of the battery swapping station in the distributed energy system.Therefore,the distributed energy system established in this paper will get real-time wind speed by Weibull distribution,and use it as a random variable to model the power distribution of wind turbine,establish the mathematical models of electric buses and private electric vehicles for battery swapping station operation,simulate the daily operation of electric buses by using the vehicle number list,and use the one-dimensional normal distribution to simulate the battery swapping behavior of private electric vehicle users.This paper discusses the impact of the demand response strategy based on time-of-use price and incentive on the operation of the system,and establishes a practical operation simulation model of distributed energy system.The results show that the electric vehicle power exchange station can effectively improve the unbalanced relationship between wind power generation and load power consumption.In addition,by matching the appropriate rated wind power output and rated battery capacity,the economy of the system can be improved.In the example,compared with the basic price in the existing market time-sharing price mechanism,the operation result of this system reduces the power purchase cost of the operation of the exchange station.