Multi-Objective Dispatch of PV Plants in Monopolar DC Grids Using a Weighted-Based Iterative Convex Solution Methodology

The design of an efficient energy management system (EMS) for monopolar DC networks with high penetration photovoltaic generation plants is addressed in this research through a convex optimization point view. EMS formulated as multi-objective problem that involves economic, technical, and environmental objective functions subject to typical constraints regarding power balance equilibrium, thermal conductor capabilities, source capacities, voltage regulation constraints, among others, using nonlinear programming (NLP) model. main characteristic NLP formulation the PV it nonconvex owing product variables constraint. To ensure effective solution problem, linear approximation McCormick equivalent two proposed. In addition, eliminate error introduced by linearization method, iterative methodology (ISM) solve weighted method implemented each pair conflict, advantage extreme Pareto front has optimal global single-objective function approach. Numerical results version IEEE 33-bus grid demonstrated proposed ISM reaches one under analysis. It theory more when compared multiple combinatorial methods.