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Unlike a land-based standalone microgrid, a shipboard microgrid of an all-electric ship (AES) needs to shut down generators during berthing at the port for exanimation and maintenance. Therefore, the cost of onshore power plays an important role in an economic operation for AESs. In order to fully exploit its potential, a two-stage joint scheduling model is proposed to optimally coordinate the power generation and voyage scheduling of an AES. Different from previous studies which only consider the operation cost of the ship itself, a novel coordinated framework is developed in this paper to address the shore-side electricity price variations on ship navigation route. A deep learning-based forecasting method is utilized to predict the electricity price in various harbors for ship operators. Then, a hybrid optimization algorithm is designed to solve the proposed multi-objective joint scheduling problem. A navigation route in Australia is adopted for case studies and simulation results demonstrate the high energy utilization efficiency of the proposed algorithm and the necessity of on-shore power influence on the AES voyage.
Shuli Wen; Tianyang Zhao; Yi Tang; Yan Xu; Miao Zhu; Sidun Fang; Zhaohao Ding. Coordinated Optimal Energy Management and Voyage Scheduling for All-Electric Ships Based on Predicted Shore-Side Electricity Price. IEEE Transactions on Industry Applications 2020, 57, 139 -148.
AMA StyleShuli Wen, Tianyang Zhao, Yi Tang, Yan Xu, Miao Zhu, Sidun Fang, Zhaohao Ding. Coordinated Optimal Energy Management and Voyage Scheduling for All-Electric Ships Based on Predicted Shore-Side Electricity Price. IEEE Transactions on Industry Applications. 2020; 57 (1):139-148.
Chicago/Turabian StyleShuli Wen; Tianyang Zhao; Yi Tang; Yan Xu; Miao Zhu; Sidun Fang; Zhaohao Ding. 2020. "Coordinated Optimal Energy Management and Voyage Scheduling for All-Electric Ships Based on Predicted Shore-Side Electricity Price." IEEE Transactions on Industry Applications 57, no. 1: 139-148.
With the extensive electrification introduced into the shipboard power systems, the navigation routine has become more important in an electric propulsion and solar power integrated ships since various sailing paths and speeds will lead to different operation performances. Unlike traditional navigation, which solves a shortest path problem, a data-driven optimization scheme is developed in this paper for a photovoltaic (PV) dependent navigation routing. In order to minimize the total cost and greenhouse gas emissions of an all-electric ship (AES), a new coordinated optimization framework is proposed to jointly optimize the energy storage system (ESS) sizing and voyage scheduling, while considering solar power variations. Several cases are compared to verify the proposed method on a cargo ship and numeral results reveal that the deep-learning based forecasting method can better characterize the on-board solar power variations and the proposed joint optimization framework can well accommodate the onboard PV generation.
Shuli Wen; Tianyang Zhao; Yi Tang; Yan Xu; Miao Zhu; Yuqing Huang. A Joint Photovoltaic-Dependent Navigation Routing and Energy Storage System Sizing Scheme for More Efficient All-Electric Ships. IEEE Transactions on Transportation Electrification 2020, 6, 1279 -1289.
AMA StyleShuli Wen, Tianyang Zhao, Yi Tang, Yan Xu, Miao Zhu, Yuqing Huang. A Joint Photovoltaic-Dependent Navigation Routing and Energy Storage System Sizing Scheme for More Efficient All-Electric Ships. IEEE Transactions on Transportation Electrification. 2020; 6 (3):1279-1289.
Chicago/Turabian StyleShuli Wen; Tianyang Zhao; Yi Tang; Yan Xu; Miao Zhu; Yuqing Huang. 2020. "A Joint Photovoltaic-Dependent Navigation Routing and Energy Storage System Sizing Scheme for More Efficient All-Electric Ships." IEEE Transactions on Transportation Electrification 6, no. 3: 1279-1289.
Shuli Wen; Chi Zhang; Hai Lan; Yan Xu; Yi Tang; Yuqing Huang. A Hybrid Ensemble Model for Interval Prediction of Solar Power Output in Ship Onboard Power Systems. IEEE Transactions on Sustainable Energy 2019, 12, 14 -24.
AMA StyleShuli Wen, Chi Zhang, Hai Lan, Yan Xu, Yi Tang, Yuqing Huang. A Hybrid Ensemble Model for Interval Prediction of Solar Power Output in Ship Onboard Power Systems. IEEE Transactions on Sustainable Energy. 2019; 12 (1):14-24.
Chicago/Turabian StyleShuli Wen; Chi Zhang; Hai Lan; Yan Xu; Yi Tang; Yuqing Huang. 2019. "A Hybrid Ensemble Model for Interval Prediction of Solar Power Output in Ship Onboard Power Systems." IEEE Transactions on Sustainable Energy 12, no. 1: 14-24.
Due the concern about serious environmental pollution and fossil energy consumption, introducing solar generation into ship power systems has drawn greater attention. However, the penetration of solar energy will result in ship power system instability caused by the uncertainties of the solar irradiation. Unlike on land, the power generated by photovoltaic (PV) modules on the shipboard changes as the ship rolls. In this paper, a high-speed flywheel energy storage system (FESS) is modeled to smooth the PV power fluctuations and improve the power quality on a large oil tanker which contains a PV generation system, a diesel generator, a FESS, and various types of ship loads. Furthermore, constant torque angle control method combined with sinusoidal pulse width modulation (SPWM) approach is proposed to control the FESS charging and discharging. Different ship operating situations and the impact of the ship rolling is taken into consideration. The simulation results demonstrate the high efficiency and fast response of the flywheel energy storage system to enhance the stability of the proposed hybrid ship power system.
Hai Lan; Yifei Bai; Shuli Wen; David C. Yu; Ying-Yi Hong; Jinfeng Dai; Peng Cheng. Modeling and Stability Analysis of Hybrid PV/Diesel/ESS in Ship Power System. Inventions 2016, 1, 5 .
AMA StyleHai Lan, Yifei Bai, Shuli Wen, David C. Yu, Ying-Yi Hong, Jinfeng Dai, Peng Cheng. Modeling and Stability Analysis of Hybrid PV/Diesel/ESS in Ship Power System. Inventions. 2016; 1 (1):5.
Chicago/Turabian StyleHai Lan; Yifei Bai; Shuli Wen; David C. Yu; Ying-Yi Hong; Jinfeng Dai; Peng Cheng. 2016. "Modeling and Stability Analysis of Hybrid PV/Diesel/ESS in Ship Power System." Inventions 1, no. 1: 5.