Multi-Level Predictive Control for Energy Management of Hybrid Ships in the Presence of Uncertainty and Environmental Disturbances**This research is supported by the project ShipDrive: A Novel Methodology for Integrated Modelling, Control, and Optimization of Hybrid Ship Systems (project 13276) of the Dutch Technology Foundation STW.

Haseltalab, Ali; Negenborn, Rudy R.; Lodewijks, Gabriël

doi:10.1016/j.ifacol.2016.07.016

Cited by 28 publications

(8 citation statements)

References 8 publications

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“…Unit commitment is then optimized again using the observed state as the initial condition, the first control action taken, and the methodology continued in a similar fashion. Such approaches have been employed in [27][28][29][30][31][32]. In [27], the future power demand profile was expected to be given beforehand.…”

Section: Control Of Ship Energy Systemsmentioning

confidence: 99%

“…However, although this method dealt with managing power demand, the solved problem was not related exactly to unit commitment. In [32], a novel multi-stage MPC methodology was formulated to first predict ship propulsion demand under uncertainty, and then optimize the short-term power split between engines, a battery and a super capacitor to meet that projected demand. The prediction horizon used to demonstrate the aforementioned method was 1 s.…”

Section: Control Of Ship Energy Systemsmentioning

confidence: 99%

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Hybrid Ship Unit Commitment with Demand Prediction and Model Predictive Control

et al. 2020

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We present a novel methodology for the control of power unit commitment in complex ship energy systems. The usage of this method is demonstrated with a case study, where measured data was used from a cruise ship operating in the Caribbean and the Mediterranean. The ship’s energy system is conceptualized to feature a fuel cell and a battery along standard diesel generating sets for the purpose of reducing local emissions near coasts. The developed method is formulated as a model predictive control (MPC) problem, where a novel 2-stage predictive model is used to predict power demand, and a mixed-integer linear programming (MILP) model is used to solve unit commitment according to the prediction. The performance of the methodology is compared to fully optimal control, which was simulated by optimizing unit commitment for entire measured power demand profiles of trips. As a result, it can be stated that the developed methodology achieves close to optimal unit commitment control for the conceptualized energy system. Furthermore, the predictive model is formulated so that it returns probability estimates of future power demand rather than point estimates. This opens up the possibility for using stochastic or robust optimization methods for unit commitment optimization in future studies.

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Section: Control Of Ship Energy Systemsmentioning

confidence: 99%

Section: Control Of Ship Energy Systemsmentioning

confidence: 99%

Hybrid Ship Unit Commitment with Demand Prediction and Model Predictive Control

et al. 2020

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“…Reducing of emission in air and low noise Danger [24,25] Load balancing The constancy of rotational speed of MRDG [26,27] Zero noise and emission Difficulty of the system [28] Storing regenerated energy The hazard of batteries maintenance [29] The efficiency of backup power Batteries cost [30] Ability to pulse power ON The need for control of each bathery [31] Reduced fuel consumption and emission into the atmosphere…”

Section: Potentially Low Noisementioning

confidence: 99%

Design of the Three-Level Multicriterial Strategy of Hybrid Marine Power Plant Control for a Combined Propulsion Complex

Budashko¹

2017

Elektroteh. elektromeh.

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Purpose. Efficiency of hybrid ships power plants (SPP) combined propulsion complexes (CPC) by various criteria for energy management systems strategies. Methodology. Based on the classification system topologies SPP CPC for mechanical, electrical and hybrid types of motors schematic diagrams of management strategies for the criterion of minimum power consumption are defined. Changing the technical component of the traditional approach to building hybrid ships electric power systems (SEPS) SPP CPC the principle of modifying the structure of SEPS is applied with the integration of additional static alternative power source as dynamic reserve, which allowed to meet modern requirements for energy efficiency, levels of vibration, noise and degradation effects produced to SPP CPC, in all areas of the energy for the transfer of power from energy to propellers. Modeling of power transmission of energy to propellers in MatLab/Simulink is conducted, using blocks of optimization library and definition of identity markers. Results. Major advantages and disadvantages SPP CPC depending on the topology of energy distribution systems are determined. According to the chosen structure system electricity characteristics were obtained in the process of power transmission SPP CPC and power systems and their control strategies in terms of increased efficiency and eliminate these drawbacks. And finally, mathematical apparatus for research in terms of the development of methods for designing and managing SPP hybrid CPC to reduced fuel consumption, emissions into the environment and improving maintainability, flexibility and comfort level are improved. Originality. The methodology for improving SPP CPC implementation by developing methods of identification markers mutually influencing processes in SPP CPC and the development of implementing these methods of settlement and information systems. Practical value. The method enables iterative optimization parameters SPP CPC, it can be used as a means of intelligent design, which is the result of the application of improved performance SPP CPC. References 49, table 1, figures 12. Key words: ship power plants, combined propulsion complexes, energy management system, control strategy.На основании системной классификации топологий судовых энергетических установок (СЭУ) комбинированных пропульсивних комплексов (КПК) были систематизированы основные преимущества и недостатки СЭУ КПК в зависимости от топологии системы управления распределением энергии. Были получены характеристики процессов передачи мощности в СЭУ КПК и системах энергоснабжения, и их стратегий контроля с точки зрения повышения эффективности и устранения указанных недостатков. Усовершенствован математический аппарат для проведения исследований с точки зрения разработки методов проектирования и управления гибридными СЭУ КПК с сокращением потребления топлива, выбросов в окружающую среду и повышении ремонтопригодности, маневренности и уровня комфорта. Разработанный метод дает возможность итерационной оптимизации параметров СЭУ КПК, что ...

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“…This approach is applied in dynamic positioning systems and mainly suitable for low-frequency fluctuations. The other well-known solution is the integration of energy storage system to smooth the load power [10][11][12]. Using a single ESS technology may result in increasing the size, cost, and weight of the operated electric ships [13].…”

Section: Introductionmentioning

confidence: 99%

Energy Storage Systems for Shipboard Microgrids—A Review

et al. 2018

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In recent years, concerns about severe environmental pollution and fossil fuel consumption has grabbed attention in the transportation industry, particularly in marine vessels. Another key challenge in ships is the fluctuations caused by high dynamic loads. In order to have a higher reliability in shipboard power systems, presently more generators are kept online operating much below their efficient point. Hence, to improve the fuel efficiency of shipboard power systems, the minimum generator operation with N-1 safety can be considered as a simple solution, a tradeoff between fuel economy and reliability. It is based on the fact that the fewer the number of generators that are brought online, the more load is on each generator such that allowing the generators to run on better fuel efficiency region. In all-electric ships, the propulsion and service loads are integrated to a common network in order to attain improved fuel consumption with lesser emissions in contrast to traditional approaches where propulsion and service loads are fed by separate generators. In order to make the shipboard power system more reliable, integration of energy storage system (ESS) is found out to be an effective solution. Energy storage devices, which are currently being used in several applications consist of batteries, ultra-capacitor, flywheel, and fuel cell. Among the batteries, lithium-ion is one of the most used type battery in fully electric zero-emission ferries with the shorter route (around 5 to 10 km). Hybrid energy storage systems (HESSs) are one of the solutions, which can be implemented in high power/energy density applications. In this case, two or more energy storage devices can be hybridized to achieve the benefits from both of them, although it is still a challenge to apply presently such application by a single energy storage device. The aim of this paper is to review several types of energy storage devices that have been extensively used to improve the reliability, fuel consumption, dynamic behavior, and other shortcomings for shipboard power systems. Besides, a summary is conducted to address most of the applied technologies mentioned in the literature with the aim of highlighting the challenges of integrating the ESS in the shipboard microgrids.

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Cited by 28 publications

References 8 publications

Hybrid Ship Unit Commitment with Demand Prediction and Model Predictive Control

Hybrid Ship Unit Commitment with Demand Prediction and Model Predictive Control

Design of the Three-Level Multicriterial Strategy of Hybrid Marine Power Plant Control for a Combined Propulsion Complex

Energy Storage Systems for Shipboard Microgrids—A Review

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