There are many types of energy storage devices including cooling storage, heating storage and power storage in the CCHP campus microgrid with photovoltaics. Its reasonable and coordinated configuration can cut peaks, fill valleys on the daily load curve and suppress uncertain fluctuations in photovoltaic output, then improving the safety and economy of microgrid operation.This paper uses a boxtype uncertainty set to describe the uncertain fluctuation characteristics of photovoltaic output and cooling, heating, and electrical load to establish a coordinated and robust optimization configuration model for multiple types of energy storage in CCHP park microgrid with photovoltaics.This twolayer optimization model takes the minimum sum of the annual equivalent investment and operating cost of the microgrid as the objective function. By adopting the Benders decomposition method, the twolayer optimization problem is decomposed into the main problem of finding the configuration scheme in a certain scenario and the typical problem of finding the microgrid. The extreme scenario subproblem with the largest daily operating cost is solved alternately and iteratively to obtain a coordinated and optimized configuration scheme of cold storage, heat storage and power storage devices that is robust to uncertain fluctuations in photovoltaic output and cooling, heating, and electrical loads.Finally, taking a CCHP park microgrid as an example, the comparison with the deterministic optimal configuration scheme and the optimal configuration of batteryenergy storage only schemeshows that the robust configuration scheme is more conducive to smoothing the uncertain fluctuations in photovoltaic output and load, and effectively improving the safety of microgrid operation.Meanwhile, the coordinated configuration of multiple types of energy storage has better economic benefits than the battery energy storage only solution.