Research on energy hub selection and capacity planning considering demand response uncertainty

The Integrated Energy System (IES) enhances the utilization of renewable energy and the efficient use of terminal energy by employing multiple energy sources such as electricity, gas, cold, and heat. The development of the IES towards a low-carbon and sustainable direction relies on the integration of wind power generation and Demand Response (DR). However, the challenges arise from the fluctuation of wind power output and the uncertainty of demand response in the planning and operation of the IES. This thesis focuses on addressing the planning problem of the IES under the uncertainty of wind power and demand response. It conducts a comprehensive study on the planning, considering the uncertainty of demand response and wind power. The research primarily covers energy hub selection and capacity planning, considering demand response uncertainty. To minimize total costs of investment, operation, wind curtailment, and demand response, a model is established. This model also takes into account energy balance constraints, equipment constraints within the energy hub, and power interaction constraints with the upper-level grid. The Gurobi solver is employed to solve the model. The case study results demonstrate that demand response can optimize energy hub configuration, promote wind power resource consumption, and enhance the economic efficiency of the system.