Risk-Averse Scheduling of Combined Heat and Power-Based Microgrids in Presence of Uncertain Distributed Energy Resources

In this paper, a robust scheduling model is proposed for combined heat and power (CHP)-based microgrids using information gap decision theory (IGDT). The microgrid under study consists of conventional generation as well boiler units, fuel cells, CHPs, wind turbines, solar PVs, storage battery energy systems (BESS) the set distributed resources (DERs). Additionally, demand response program (DRP) considered which has successful performance in hourly scheduling. One goals CHP-based to provide both thermal electrical demands consumers. other objective benefit from revenues obtained by selling surplus electricity main grid during high price intervals or purchasing it when low at electric market. Hence, approach developed with aim maximizing total profit different suppliers entire horizon. employed IGDT technique aims handle impact uncertainties output PV units on overall profit.