I will solve your linear and nonlinear optimisation problem in gams

GAMS optimisation for power systems and energy engineering is not generic OR, real power models.

I build and solve optimisation models that reflect how power systems actually work: generator constraints, network flow limits, uncertainty in renewables, and regulatory requirements.

PROBLEM TYPES I SOLVE

Economic Dispatch (ED) minimum cost generation scheduling

Unit Commitment (UC) binary on/off with ramp and minimum time constraints

Optimal Power Flow (OPF) DC and linearised AC formulations

Energy storage dispatch optimisation

Transmission expansion planning

Stochastic programming (scenario-based uncertainty)

Multi-objective optimisation (cost vs emissions vs reliability)

GAMS SOLVERS I USE

CPLEX · GUROBI · CONOPT · BARON (for MINLP)

DELIVERABLES

GAMS .gms model file (fully commented)

Results in Excel with objective value and variable values

Sensitivity / parametric analysis (on request)

PDF explanation of model formulation

WHAT YOU PROVIDE

Problem description, mathematical formulation (if available), data (load, generator specs, network topology).

• Message me before ordering, I'll confirm solver requirements and problem complexity.