Optimization of integrated energy system considering multi-energy collaboration in carbon-free hydrogen port

Renewable energy is highly efficient, clean, and low-carbon, and it has become the key to energy transformation. The lack of renewable energy consumption capacity has become a major restriction on the development of renewable energy generation industry, and the application of hydrogen storage technology to port integrated energy systems (IES) is considered an effective solution to the problem of grid-connection of renewable energies. The application of hydrogen storage technology to improve renewable energy consumption and integrated energy use has important research significance. This paper studies optimization of the IES considering multi-energy collaboration in carbon-free hydrogen ports. Security constrained unit commitment (SCUC) is a key issue in the operation of IES. A mixed integer linear programming (MILP) model is constructed with objectives of minimizing the operating cost of energy system. Furthermore, a customized enhanced particle swarm optimization (PSO) method is designed to solve the SCUC optimization problem. Enhanced PSO can obtain satisfying solutions in large-scale instances within a short time. Extensive numerical experiments have been conducted and the results demonstrate the applicability and efficiency of enhanced PSO in solving problems.