Wave　Energy　Converters　(WECs)　deployed　in　an　array　can　reduce　investment　and　operational　costs,　such　as　infrastructures,　operations,　and　maintenance.　Control　for　WEC　arrays　becomes　more　complex　due　to　the　dynamic　behaviour　of　individual　WECs　and　the　interactions　between　neighbouring　devices,　including　their　defective　and　radiating　effects,　which　impact　the　overall　system　performance.　This　paper　investigates　nonlinear　model　predictive　control　(NMPC)　approaches　for　controlling　an　array　of　wave　energy　converters　(WECs)　to　extract　the　maximum　amount　of　energy　while　respecting　safety　constraints.　Three　schemes　are　benchmarked,　namely:　(i)　Centralised　NMPC,　where　the　array　is　considered　as　an　augmented　system;　(ii)　Independent　NMPC,　where　each　WEC　is　considered　independently,　neglecting　all　interactive　effects;　and　(iii)　Distributed　NMPC　(D-NMPC),　where　a　WEC　only　considers　the　interactive　effects　of　its　nearest　neighbour.　The　proposed　approaches　are　demonstrated　and　benchmarked　through　comparative　simulation　studies　based　on　an　array　of　homogeneous　point　absorbers.　Simulation　results　highlight　the　limitations　of　the　independent　and　centralised　approaches　and　reveal　the　potential　of　D-NMPC　in　achieving　most　of　the　performance　of　C-NMPC,　with　a　computational　burden　similar　in　scale　to　D-NMPC.