The Synergistic Scheduling and Optimization of Photovoltaic Energy Supply and Environmental Impact

With the rapid development of economy, power stability and optimal allocation of resources have become the key to the development of power enterprises. This paper analyzes the synergistic relationship between photovoltaic energy supply to reduce environmental impact and environmental factors to improve photovoltaic energy supply, and studies the power scheduling optimization of photovoltaic energy supply and the power scheduling optimization of environmental factors prediction. The experimental results show that the maximum error of the predicted solar radiation flux density is 0.6%, the maximum error of temperature is 5.9%, and the maximum error of transmittance is 1.27%, which is the best prediction accuracy. The incidence of voltage imbalance and light rejection rate were 6.98% and 4%. The photovoltaic absorption rate during 20D-100D is above 95%. The research in this paper is of great significance to the stable development of industry and the improvement of the stability of electric energy.