An MILP model for the static transmission expansion planning problem including HVAC/HVDC links, security constraints and power losses with a reduced search space

作者: Andrés H Domínguez , Antonio H Escobar , Ramón A Gallego , None

DOI: 10.1016/J.EPSR.2016.10.055

关键词: Cost of operationAMPLSolverLinear programmingEngineeringReduction (complexity)Mathematical optimizationConvertersTransmission (telecommunications)Electric power system

摘要: Abstract This paper presents a mixed-integer linear programming (MILP) model to solve the transmission network expansion planning (TNEP) problem, considering HVDC and HVAC proposals with security constraints system operation cost. The use of an MILP guarantees convergence optimality by using existing classical optimization methods. cost is associated losses in system. In this model, lines can be either monopolar or bipolar type. Due size complexity new method reduce search space solution proposed, taking into account line losses, links, contingencies. set proposal may line-commutated converters voltage source converters. was implemented AMPL modeling language solved CPLEX commercial solver. Southern Brazilian electrical used demonstrate effectiveness proposed model; tests were performed for cases without results show high quality solutions, performance when reduction methodology (SSRM) used. computational time SSRM (the study case cost) reduced 85.9% respect that uses complete space, also, optimal found. importance including as objective minimized shown. 55.7% comparing included function proposals.

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