Optimization Dispatch Of Integrated Energy System Considering Wind And Photovoltaic Uncertainties And Electric Vehicles

The current contradiction between the extensive utilization mode of energy and environmental protection and sustainable development of society is more and more obvious.The use of IES to strengthen the development of renewable energy and promote the green and intensive development of society has become the consensus of the whole society.The output of wind power and photovoltaic is very uncontrollable due to the influence of natural weather conditions during the time of developing low-carbon and green energy.At the same time,the large-scale EV or energy storage access to the integrated energy system increases the randomness and volatility of the load.The above two factors will increase the risk of system decision-making.As the load of electric vehicles grows year by year,fully tapping its scheduling potential as an essential scheduling resource on the demand side has a significant effect on encouraging the coordinated optimization of the EV and grid.In summary,it is important to research the scheduling problem which considers the demand response of EV participating in IES and the uncertainties of the power system.This paper takes the IES with multi-energy coupling as the object and analyzes and studies the problems considering the uncertainties of wind and photovoltaic and the multi-form access of EV to the system.The main research contents are as follows:Firstly,this paper explains the structure of the integrated energy system with multienergy coupling,then analyzes and mathematically models the energy supply unit and energy conversion unit in the system,and gives a mathematical model of the electric vehicle based on probability and statistics,and analyzes the operation mode of the integrated energy system.Secondly,given the randomness of wind and output and the active participation of electric vehicles in the low-carbon economic scheduling of IES,an optimal scheduling strategy based on the bi-level model of integrated energy system considering wind and photovoltaic uncertainty and electric vehicles is proposed.This strategy uses Latin Hypercube Sampling to generate scenes for the randomness of the output of wind and photovoltaic,and then uses fast predecessor elimination technology whose reduction rate is improved to reduce scenes.Based on the time-of-use electricity price,this strategy proposes a dynamic pricing mechanism to guide the orderly charging and discharging of electric vehicles according to the matching degree of load and renewable energy,and studies the impact of charging and discharging strategy on the economy and environmental protection.The analysis results of the example show that the bi-level optimal scheduling strategy considering the uncertainty of wind and photovoltaic is conducive to improving the economic efficiency of the optimal scheduling and coordinating the benefits of the IES and EV in different degrees.Finally,aiming at the coordinated optimal scheduling problem of the IES and EV with multiple heterogeneous energy interactions,a bi-level optimal allocation method for lowcarbon economic operation of the IES with multiple energy coupling under different charging modes of EV is proposed.The method is divided into two levels.At the intra-day scheduling operation level,the Copula function and non-parametric estimation are used to deal with the uncertainties of wind and photovoltaic energy.On this basis,factors such as the ladder-type carbon trading mechanism and the flexible charging mode of electric vehicles are considered and the dispatchable equipment output is obtained with the goal of the lowest daily scheduling cost and units’ output information is transferred to the configuration level.In the configuration planning level,the equipment capacity is configured with the minimum sum of equipment investment cost and annual operation cost as the target,and the capacity configuration results are transmitted to the upper layer to limit the output of each unit.By mutual iteration,the optimal configuration scheme and scheduling results are obtained.The results represent that the electric vehicle charging mode considering the residual electricity can realize the low-carbon and economic operation of the IES with multi-energy coupling.