Optimal Energy Management of Local Industrial Energy Hubs

Over the last decades, the electricity industry has undergone major changes in various sectors due to a number of structural, technical, and economic factors. Heightened concerns about nuclear power plants, energy prices, climate changes, and reliability requirements have led countries to increase the penetration of renewable energy sources (RESs) in the bulk power systems. The high penetration of RESs with non-uniformly distributed patterns has created unprecedented challenges for regional power systems to maintain system flexibility and reliability. These technical challenges obligate power system operators to curtail part of the produced renewable energy at various scheduling intervals. Motivated by these challenges, grid-connected energy hubs are seen as a way forward to boost system flexibility, decrease the rate of renewable power curtailment, and increase energy efficiency. Hence, this PhD thesis proposes a holistic structure to determine the optimal coordinated operation of the grid-connected energy hubs and the regional power system by relying on the high penetration of RESs. The main goal in this PhD project is to develop a practical energy management strategy by relying on the CO2 emission rate and the amount of curtailed renewable energy along with total operating costs of the integrated energy system. The proposed strategy is developed in the form of tractable mixed-integer linear programming (MILP) problem to handle the day-ahead security-constrained unit commitment (SCUC) considering various uncertain parameters and demand response programs (DRPs).