Aiming at the development trend of microgrid energy management technology at the present stage, on the basis of satisfying its internal economic dispatching, attention should also be paid to the energy complementation mechanism among microgrids. In this paper, a bilevel energy optimal dispatching model for gridconnected regional microgrid cluster is proposed. Conditional value at risk (CVaR) is introduced to measure the impact of renewable energy sources and load forecasting errors on dispatching scheme, which is taken as the optimization objective of internal energy dispatching in the microgrid combining with the microgird operation income.The multiobjective particle swarm optimization (MOPSO) algorithm is adopted to obtain the solution. The incomerisk ratio is formulated as the screening index of optimal dispatching strategy, and the internal energy optimal dispatching strategyin the microgridis proposed. On the premise of minimizing the active power gradient variation at the common coupling point of the regional networked microgrid cluster, the optimal combination scheme of thenet power of the microgrids is obtained, which can suppress the power fluctuation caused by the microgrid cluster to distribution network. Then, considering the power transmission distance, the net power complementation mechanism among the microgrids is formulated to improve power transmission efficiency. The simulation results of examples show that the model can reasonably realize the economic operation and power balance within the microgrids and amongthe microgrids, and provide effective design process for the dayahead dispatching plan of the microgrid cluster.