| The development of islands is of great significance in promoting economic growth.enhancing the country’s maritime strength,and increasing international influence.However,due to the special geographical environment of pelagic ocean islands.there is a serious shortage of material and energy resources,and the increasingly severe shortage of electricity has become a bottleneck for their development.Currently,most island power supplies rely on diesel generators,which not only cause serious environmental pollution but also contradict the current low-carbon development concept.In fact,the vast majority of remote ocean islands have rich renewable energy resources,and if they can be reasonably developed,they will greatly alleviate the problems of high pollution,high emissions,and high costs caused by diesel generator electricity.This paper focuses on the energy demand of pelagic clustering islands and introduces an innovative development model that distinguishes between island types and multi-island alliances to provide energy support for pelagic clustering islands.Firstly,the distribution characteristics of pelagic clustering islands and the distribution of renewable energy resources were analyzed.Secondly,the transportation demand of the island groups was analyzed,including passenger demand and battery pack transport demand.To make use of the idle time of passenger ships,a shared power exchanging vessel(SPEV)was introduced to participate in the energy dispatching method of the island groups.This method fully utilizes the transportation potential of passenger ships without the need for dedicated transportation tools for mobile battery packs.Then,based on the distribution of new energy resources in resource islands,an output model including wind,solar,and ocean current energy was established.Finally,a spatiotemporal distribution model of shared power exchanging vessels and mobile battery packs was established to determine the location and status of ships and battery packs.Based on the shared power exchanging vessel(SPEV)concept,energy interconnection modes between different types of islands were analyzed.A spatiotemporal coupling model of ship navigation considering SPEV sharing,a mobile energy storage battery pack charging and discharging model,and a SPEV passenger travel model were established,Based on these models and aiming to minimize the comprehensive operating costs of the clustering islands,the SPEV participation energy dispatching method for the island groups was established,taking into account constraints such as battery pack charging and discharging.SPEV navigation path,and passenger travel.This method fully utilizes the spatiotemporal transfer flexibility of energy by SPEV while meeting the needs of passenger travel.Finally,taking the Nansha Islands as an example for simulation analysis,the results show that the SPEV-based energy dispatching strategy for the island groups proposed in this paper can improve the consumption rate of new energy sources in the island groups and the economy of the island groups’ energy supply sy stem.Aiming at the energy scheduling of island clusters based on the SPEV system,a novel energy scheduling strategy considering the operational safety constraints of microgrids is proposed in this study.The constraints include the voltage of microgrid nodes,the capacity of transmission lines,etc.Furthermore,a refined output model of diesel generators is developed,and the cost of power transmission lines and the start-stop cost of generators are introduced into the objective function.The proposed energy scheduling model aims to satisfy the operational safety constraints of microgrids and achieve efficient operation of diesel generators,reduced transmission line losses,and improved operational economics by reasonably scheduling the power output plan of the island power supply and the SPEVs route.Finally.a case study is conducted to demonstrate that the proposed model can effectively reduce transmission line losses,enhance the efficiency of diesel generators,and ensure the safe and stable operation of microgrids. |