An inexact two-stage dynamic stochastic model for regional electricity and heat supply management with pollutants mitigation control

BackgroundEnergy system management is an important tool for regional energy and environmental development, and many parameters and their interrelationships in energy-environmental management model appear complexity and uncertain. How to deal with these uncertainties and make a reasonable decision schemes are desired for managers.ResultsIn this study, an inexact two-stage dynamic programming model is developed for regional electricity and heat supply management under considering the complexities and uncertainties in regional energy system. The model can reflect not only uncertainties expressed as probability distribution but also those being available as intervals. The developed model is applied to a case of planning regional electricity and heat supply as well as pollution emission reduction considered.ConclusionsA number of scenarios corresponding to different pollutants emission reduction levels are examined; the results indicated that reasonable solutions have been generated under different pollutants reduction levels. They can be used for generating plans for energy resource/electricity/heat allocation and capacity expansion and help decision makers identify desired regional electricity and heat supply which need minimum cost under various standards of pollutants emission reduction control.