Hierarchical energy optimization management of active distribution network with multi-microgrid system

A hierarchical energy optimization management model is established and a multi-microgrid operation strategy that mixes the battery and the power interaction designed to strengthen the system output capability. This study carries out dynamic optimization to achieve optimal economic benefits of active distribution network with multi-microgrid system. An improved sparrow search algorithm is developed to achieve an optimal energy configuration by integrating Bernoulli chaotic mapping, Levy flight, mutation, crossover and competition. The superiority of the improved sparrow search algorithm is demonstrated by the results of different test functions and evaluation indicators. The effectiveness of the proposed method is verified by solving and analyzing the optimal configuration of energy management model. Case study results reveal that the active distribution network with multi-microgrid system has good economic and environmental benefits under various scenarios. The methods proposed are of great significance for the economic operation and environmental protection of multi-microgrid active distribution network.