Featured by its energy saving capability， environment friendliness and economic benefit， the combined heat and power（CHP） system has a great prospect for further development and wider applications. A mathematical model is developed to achieve economic and optimal operation of a CHP microgrid which consists of wind turbine driven generators， photovoltaic cells， fuel cells， heat recovery and gas fired boilers， battery storage systems and thermal as well as electrical loads. The model uses chance constrained programming（CCP） method to consider the stochastic nature of wind power， photovoltaic power， thermal and electrical loads. A stochastic simulation based particle swarm optimization（PSO） algorithm is proposed to solve the optimization model. The optimal operation scheme is studied under different ways of deployment of micro-sources. Simulation results show that the proposed method can be adopted to find the optimal deployment of micro-sources， such that the dynamic economic dispatch of the microgrid is possible to reduce the operation cost effectively.