Microgrids (MGs) are considered as a key solution for integrating renewable and distributed energy resources, combined heat and power systems (CHP), as well as distributed energy-storage systems. This paper presents a stochastic programming framework for conducting optimal 24-hour scheduling of CHP-based MGs consisting of wind turbine, fuel cell, boiler, a typical power only unit and energy storage devices. The objective of scheduling is to find the optimal set points of energy resources for profit maximization considering demand response programs and uncertainties. The impact of the wind speed, market and MG load uncertainties on the MG scheduling problem is characterized through a stochastic programming formulation. The paper studies three cases in order to confirm the performance of the proposed model. The effect of CHP-based MG scheduling in the islanded and grid-connected modes as well as the effectiveness of applying the proposed DR program are investigated in the case studies.Index Terms-Combined heat and power (CHP) system, demand response programs, CHP-based microgrid scheduling, stochastic programming

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