Research on the Optimal Control Model of Multienergy Complementary Multi-source Autonomy in Smart Park

In order to save resources, reduce the electricity expense of the end user, reduce the cost of power company, and meet the diverse cooling and heating loads demands of the users, a multi-energy complementary multi-source autonomy optimal control method in smart parks is proposed. By analyzing the typical scenario of layered distributed coordinated operation of multi-energy resources in the intelligent park, a layered distributed coordinated optimization model was established with the dual objectives of the local Agent layer and the power supply Agent layer, and the optimal solution of the model was solved by the model predictive control algorithm with the constraints of the power balance, the interactive power with the main network and the voltage constraint. Finally, the feasibility of the proposed method is verified by an example in a typical scenario, which provides technical support for adjustable resource optimization.