New Energy Stochastic Optimization Scheduling Considering Uncertainty

In recent years,with the increasingly obvious problems of energy shortage and environmental pollution,most regions in the world have actively strengthened the development of various types of renewable energy such as hydropower and wind power,and the proportion of renewable energy has continued to increase.With the rapid development of new energy,wind power and photovoltaic power generation have significant fluctuations.With the continuous increase in the proportion of access,the uncertainty of the operation of the entire power system is relatively high.The basic concept of power system is transformed from the initial deterministic idea to the state of uncertainty.Therefore,on the basis of considering the actual uncertainty of wind power and photovoltaic output,ensuring the stability of the entire power supply system,reducing operating costs and improving energy consumption,this paper conducts targeted research on renewable energy system s cheduling.This paper firstly establishes the power output models of the four power sources of conventional thermal power,wind power,photovoltaic power,and cascade hydropower.Conduct research on new energy consumption and the uncertainty of renewable energy,explore various means to promote renewable energy consumption;study various basic modeling methods on uncertainty,and determine through comprehensive consideration and multi-aspect comparison.The most suitable modeling method for the optimal scheduling problem of power system is analyzed.Then,the power supply models of thermal power units and cascade hydropower units are established.Based on this,the uncertainty of wind power and photovoltaic power generation is considered,and a model that can better describe the uncertainty of prediction error is determined.Finally,a joint optimal scheduling model based on opportunity-constrained objective optimization is established,and an optimal operation scheme suitable for renewable energy power systems is designed.Combined with the above-mentioned power supply model and the joint optimal scheduling model based on opportunity-constrained objective optimization,through the calculation example Simulation verifies the validity of the model built in this paper and the proposed operation strategy.