Low-carbon economy energy use strategy for parks based on dynamic carbon emission factors

Under the goal of “carbon peaking and carbon neutrality” in China, low-carbon has become an inevitable trend of energy utilization, and it will be an important development direction in the future to guide the user-side clean and efficient energy use. With the development of the energy Internet, the park side has abundant controllable resources, which can help the power grid to carry out low-carbon emission reduction. In order to guide the low-carbon economic energy use of the park, this paper constructs a multi-objective energy management framework for the park under the new power system environment, and comprehensively manages the controllable equipment in the park from the perspective of economy and low-carbon. An energy consumption model considering the electricity cost and carbon emission of the park is constructed, and the dynamic carbon emission factor of the park is constructed based on the electricity-carbon information. Considering the instability of carbon emissions caused by the intermittent and fluctuating power consumption of controllable equipment in the park, the constraints of low-carbon operation and power balance in the park are constructed, so that the controllable equipment can participate in carbon energy management. The multi-objective solution algorithm Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is used to solve the low-carbon economy energy consumption model. The simulation results show that the method proposed in this paper can effectively manage the energy consumption and improve the low-carbon economy operation level of the park.