A hybrid transmission network in pelagic islands with submarine cables and all-electric vessel based energy transmission routes. (September 2020)

• Record Type: Journal Article
• Authors: Wang, Zhixun; Lin, Xiangning; Liu, Chang; Tong, Ning; Li, Zhengtian; Sui, Quan; Wu, Chuantao
• Is Part Of: International journal of electrical power & energy systems. Volume 120(2020)
• Publication Date: 2020-09
• Subjects: Pelagic islands -- All-electric vessel -- Battery swapping -- Hybrid transmission network; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2020.106005
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: An energy transmission route using all-electric vessels to transport energy storage batteries is proposed and modeled. A hybrid transmission planning model composed of vessel-based routes and cables is proposed. The proportion of cables in the hybrid scheme varies according to fuel prices and battery costs. The cost effectiveness of the proposed network has been verified through case studies. Abstract: Isolated microgrid is a conventional power supply mode for inhabited pelagic islands, but limited land resources restrict the capacity of renewable energy units, resulting in overreliance on diesel turbines or gas turbines, which consumes a large amount of fossil fuels and produces substantial emissions. Establishing effective connections among pelagic islands can optimize the use of land/energy resources in uninhabited islands. However, a transmission network composed solely of submarine cables is not feasible or economical. This paper proposes an energy transmission route that uses all-electric vessels (AEVs) to transport battery energy storage (BES) between islands. The battery swapping mode is employed and part of the cable network is replaced by AEV routes to transmit the renewable energy and lower the overall cost. First, the transmission modes composed of AEVs and batteries are modeled to analyze energy transmission efficiency and cost-effectiveness. Then, a hybrid transmission planning model is established using scenario clustering method, and the additional costs under extreme weather scenarios are also considered. The model is optimized with the chaotic gravitational search algorithm, and the feasibility and effectiveness of the proposed method are verified through actual cases and sensitivity analysis.