The energy supply of an industrial park microgrid and its dynamic production process are tightly coupled. By flexibly regulating the energy consumption plan and participating in the power distribution market, the cost of purchasing electricity can be further reduced. This paper presents an optimal model and method of energy management and collaborative scheduling of production processes in industrial park microgrids that participate in the power distribution market. The model is based on a generic production process model and incorporates ground source heat pumps to enhance energy efficiency. First, this paper proposes an energy consumption framework for an industrial park microgrid that uses ground source heat pumps. A general model is established to illustrate the relationship between industrial production processes and energy consumption. Then, a bi-level energy management model based on the generic production process model is constructed to participate in the power distribution market. The industrial park microgrid energy management and production process scheduling collaborative optimization model is the upper model, and the distribution market clearing model is the lower model. Power and price information are exchanged between the bi-level models. Next, based on the KKT conditions, duality principle and large M method, the bi-level model is transformed into a mixed-integer second-order cone programming (MISOCP) model. Finally, taking a short-process steel plant, a cement plant and other typical industrial parks as examples for case studies, the results show that the proposed method can effectively model the industrial production process, reduce the energy cost of industrial users, and relieve the pressure of power grid peak regulation.