Low carbon economic dispatch of biogas-wind-solar renewable energy system based on robust stochastic optimization

This paper proposes an economic dispatch based on robust stochastic optimization to reduce the operational difficulty of the integrated energy system under the low-carbon background. The concept of energy hub repre-sents the coupling relationship among various energy sources, and the operational constraints of the gas-electric network architecture are considered. The optimization model of the integrated energy microgrid is established, which includes biogas-wind-solar energy on the basis of the realization of energy conversion, transfer, and storage. The system operation cost, waste treatment cost and carbon trading cost are taken as the optimization target, and the economic and environmental benefits are considered comprehensively. Lastly, renewable energy uncertainty is modeled using the robust stochastic optimization model of the Wasserstein ambiguity set based on 1-norm. The simulation calculation is carried out on TEST6 and 6-node natural gas systems, IEEE118 and 20 -node natural gas systems. The results verify the rationality and effectiveness of the system.

Automated summary

This paper proposes an economic dispatch method based on robust stochastic optimization to reduce the operational difficulty of the integrated energy system under the low-carbon background. The paper establishes an optimization model for the integrated energy microgrid, considering energy conversion, transfer, and storage, and comprehensively considering system operation cost, waste treatment cost, and carbon trading cost. The rationality and effectiveness of the system are verified through simulation calculations.