A Novel Inexact Two Stage Stochastic Robust Compensation Model for Electric Supply Environmental Management Under Uncertainty

Abstract

In this study, a novel inexact twostage stochastic robustcompensation programming (ITSPRC) model is developed for CO2 emission reduction management under uncertainties. This model is attempted to integrate ITSP and stochastic RC programming into a general framework and apply the ITSPRC for power management and CO2 emission reduction management, such that the developed model can tackle uncertainties described in terms of interval values and probability distributions over a twostage context. Moreover, it can reflect dynamic and randomness of the energy systems during the planning horizon. The developed method has been applied to a case to solve CO2 emission management problem in electric supply environmental management. A number of scenarios corresponding to different adoption rate levels of carbon capture, utilization, and storage technology are examined. With the RC programming, regional energy systems would have a stable financial budget. The result suggests that the methodology is applicable for reflecting complexities of largescale energy management systems and addressing CO2 emissions reduction issue with the planning period.