Abstract: With the advancement of global energy transition, campus microgrids, as flexible and efficient forms of energy supply, are playing an increasingly important role in meeting multi - energy demands. This study aims to achieve a dual improvement in economic sustainability and environmental performance by optimizing the energy management of the campus microgrid. To this end, a multi - objective energy management strategy is proposed, which simultaneously considers minimizing daily operating costs, emissions, and power losses, while maximizing the daily independence performance index of the park microgrid. When solving this energy scheduling problem with multiple conflicting objectives, a specific optimization algorithm is used, which can provide appropriate compromises under complex constraints. In addition, each objective function evaluation is combined with a probabilistic power flow solution based on the point estimation method to address uncertain variables such as distributed photovoltaic output and load demand. The research results show that under the influence of the proposed hybrid demand response plan, the optimization algorithm can effectively reduce operating costs and emissions, while improving system performance, providing a new solution for energy optimization in campus microgrid.