Optimization of social welfare and transmission losses in offshore MTDC networks through multi-objective genetic algorithm

摘要: A multi-objective approach, for an envisioned future DC independent system operator (ISO), on how to optimally operate offshore multi-terminal network is presented in this paper. pool market used, which the ISO receives bids, of both producers and consumers connected network, determines electricity spot price. trade-off between maximization social welfare minimization transmission losses analyzed. The (MTDC) here implemented based recent studies [1]. optimization algorithm (MOOA) optimal power flow (OPF), guarantees constrains - e.g. voltages boundaries, maximum cable current produced at wind farms as defined by are all respected. Even Networks losses, capitalized over a year, can be range tenths millions euros [2]. Consequently, fair allocation among loads generators has important impact their benefits. Therefore, technique algorithm. System security also taken into consideration. In order enhance stability with regard predictable changes demand generation evolution unpredictable events outage one voltage controlling stations results OPF tested make sure that always remains least N-1 secure [3].