TY - JOUR
T1 - 基于换电船舶的远洋海岛离散能量优化调度策略研究
AU - Xu, Shihong
AU - Zhang, Hongzhi
AU - Lin, Xiangning
AU - Li, Zhengtian
AU - Chen, Zhe
AU - Fang, Jiakun
AU - Wang, Zhixun
AU - Sui, Quan
N1 - Funding Information:
基金项目:国家自然科学基金项目(51537003)。 Project Supported by National Natural Science Foundation of China (51037003).
Publisher Copyright:
© 2020 Chin. Soc. for Elec. Eng.
PY - 2020/8/31
Y1 - 2020/8/31
N2 - Considering the abundant renewable energy stored in the island and its surrounding waters, by realizing the discrete energy scheduling between islands, it can effectively guarantee the long-term reliability of power and resources supply, improve the development capability of pelagic resources, and promote the development and construction of pelagic islands. This paper proposed an energy scheduling scheme for the pelagic islands by using electric vessel (EV), and the scheme was divided into two different modes according to scheduling pattern. On the basis of EV number, vessel design loading, and island predefined time window, an improved ant colony algorithm was used to search the optimal scheduling scheme under different modes. In the simulation, based on the actual geographic data of islands in the South China Sea, EV configuration and cumulative navigation distance of the different modes were presented, which demonstrated the feasibility and rationality of the proposed scheme and realized energy complementarity and coordination between pelagic islands.
AB - Considering the abundant renewable energy stored in the island and its surrounding waters, by realizing the discrete energy scheduling between islands, it can effectively guarantee the long-term reliability of power and resources supply, improve the development capability of pelagic resources, and promote the development and construction of pelagic islands. This paper proposed an energy scheduling scheme for the pelagic islands by using electric vessel (EV), and the scheme was divided into two different modes according to scheduling pattern. On the basis of EV number, vessel design loading, and island predefined time window, an improved ant colony algorithm was used to search the optimal scheduling scheme under different modes. In the simulation, based on the actual geographic data of islands in the South China Sea, EV configuration and cumulative navigation distance of the different modes were presented, which demonstrated the feasibility and rationality of the proposed scheme and realized energy complementarity and coordination between pelagic islands.
KW - Discrete energy scheduling
KW - Electric vessel
KW - Improved ant colony algorithm
KW - Pelagic island
UR - http://www.scopus.com/inward/record.url?scp=85096148795&partnerID=8YFLogxK
U2 - 10.13334/j.0258-8013.pcsee.181511
DO - 10.13334/j.0258-8013.pcsee.181511
M3 - Tidsskriftartikel
AN - SCOPUS:85096148795
SN - 0258-8013
VL - 40
SP - 108
EP - 121
JO - Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
JF - Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
ER -