The research on energy partition of multi-energy complementary park based on the improved SMMC algorithm and AHP

In view of the problem of a growing proportion of cold and hot load in multi-energy complementary park, this paper proposes a method of energy partition of multi-energy complementary park based on the improved spectral multi-manifold clustering(SMMC) algorithm and analytic hierarchy process(AHP), which considers electrical loads, heat loads and cold loads. The method includes three steps: the clustering of the integrated load curve, evaluation of energy-saving index and determination of partition. First, the three typical days of each user in summer, winter and transition season are selected, the load curves of the users are obtained by integrating electrical loads, heat loads and cold loads. Then the improved SMMC algorithm is used to cluster and evaluate the load curves, AHP is used to evaluate and quantify the energy-saving index. Finally, the self-organizing mapping(SOM) algorithm is adopted for the above two groups of quantized values, and the final partition of the park is determined according to the geographical location of each user. In this paper, a multi-energy complementary park is used as an example to verify the feasibility of the proposed method.