Multiple objective optimization based on particle swarm algorithm for MMC-MTDC system

Multi-terminal high voltage DC (MTDC) network is an effective technology to integrate large-scale offshore wind energy sources into conventional AC grids and improve the stability flexibility of power system. In this paper, firstly, analytical model a general applicable MTDC system integrated with several isolated established. Then, improved AC-DC flow algorithm used eliminate additional slack bus or droop iteration (SBI/DBI) step sequential flow. A multi-objective optimal (MOPF) proposed minimize two optimization targets, i.e., overall active loss generation costs To increase degree freedom, adaptive control in which references coefficients modular multilevel converters (MMCs) are variables. multiple objective particle swarm (MOPSO) method applied solve MOPF problem achieve Pareto front. technique for order preference by similarity ideal solution (TOPSIS) incorporated decision analysis section helps maker identify best compromise solution.