Optimization of the integration among traditional fossil fuels, clean energies, renewable sources, and energy storages: An MILP model for the coupled electric power, hydraulic, and natural gas systems

ÁLVAREZ, GONZALO E.; MARCOVECCHIO, MARIAN G.; AGUIRRE, PÍO A.

COMPUTERS & INDUSTRIAL ENGINEERING

PERGAMON-ELSEVIER SCIENCE LTD

Lugar: Amsterdam; Año: 2020 vol. 139

0360-8352

This paper presents a Mixed Integer Linear Programming (MILP) formulation to optimize the SecurityConstrained Unit Commitment problem, integrating three areas: electrical, hydraulic, and natural gas. Themodel considers thermal generation from natural gas units and other fossil fuel units, hydraulic generation,pumped storage units, hydraulic head effects for the generation and pumping modes, power flow transmissionconstraints, natural gas supply and transportation, gas flows in single pipelines and pipelines with compressors,and line-pack for gas pipelines. The original model is hard to solve due to nonconvexities and nonlinearities ofseveral constraints, but with the application of correct linearization techniques, accurate MILP models can beefficiently obtained and solved. The proposed MILP model differs from most of other approaches available in theliterature in that it applies to several types of power generation, and includes a large number of real characteristicsof the integrated system.A modified IEEE 31-bus with 2 pumped stations and 7-node natural gas system is presented to illustrate theeffectiveness of the proposed model; test cases are solved by commercial package Gurobi. Test results indicatethat the proposed approach provides feasible solutions with convenient CPU times. The obtained results arediscussed and analyzed through simple graphs.