Mid Long Term Optimized Dispatching of Virtual Power Plant Based on Weighted Kilowatt Hour Battery Loss Model

Abstract

Given the relatively small installed capacity of virtual power plants, the power market trading model can be a bilateral joint venture model. That is to say, the virtual power plant also participates in the trading of the current power market while signing the bilateral trade contract. In this model, operators need to determine in advance the power that needs to be traded in the bilateral contract with the user or power retailer. At the same time, virtual power plant operators can also buy and sell electricity as price receivers in the day's electricity market. Due to the contribution of the wind power plant, the output of the solar photovoltaic power plant and the recent market price are all random variables[1]-[4]. Therefore, the virtual power plant operator obtains the optimal scheduling strategy through a random planning method. In addition, the operator considers the battery loss model based on the weighted kilowatt hour method in this example to analyze the impact of the battery energy system loss on the scheduling decision, and on this basis, to increase the service life of the battery energy storage system.