Dynamic Modeling, Stability Analysis, and Power Management of Shipboard DC Hybrid Power Systems

Park, Daeseong; Zadeh, Mehdi Karbalaye

doi:10.1109/tte.2021.3119231

Cited by 26 publications

(12 citation statements)

References 35 publications

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“…Taking the dramatic power fluctuations into account, Wen et al proposed a stochastic ship motion model, by which the interval prediction of solar power can be improved. 7 In Ref 8 D. Park et al established a hybrid power system dynamic model including varying dynamic load and energy storage system. In addition, considering the mechanical and electrical elements, a DC hybrid power system model was established.…”

Section: Literature Reviewmentioning

confidence: 99%

An energy dispatch optimization for hybrid power ship system based on improved genetic algorithm

Wang,

Zhu,

Luo

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part A:

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Due to the energy crisis and environmental deterioration, the emerging hybrid energy ship power system gradually replaced the traditional ship power system to keep environmental friendliness by employing the clean energy. However, the increase of energy storage and photovoltaic generation system brings enormous challenge to the optimization scheduling of hybrid energy ship power system. For this reason, an improved genetic algorithm-based optimal scheduling strategy for the hybrid energy ship power system is developed in this paper. Firstly, a novel hybrid energy ship power system model including the diesel generator, energy storage system, propulsion system, dynamic load and photovoltaic power generation device is constructed under the constraint of energy efficiency and greenhouse gases emissions. Considering the various navigation situations that the ship may encounter, such as photovoltaic power generation limit in extreme weather and diesel generator power change in load shedding, the corresponding scheduling optimization problems for the hybrid energy ship power system are established. Under the cost and gas emission constraints, an improved genetic algorithm-based scheduling optimization algorithm is proposed. By introducing the nonlinear parameter change model in crossover and mutation operator, the performance of improved genetic algorithm can be enhanced, such as convergence speed and global optimization ability. Compared with current works, the proposed scheduling optimization strategy can achieve the lowest cost while reducing environmental impacts. Finally, simulation results under the given navigation cases demonstrate the superiority of the proposed improved genetic algorithm-based scheduling optimization strategy.

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Section: Literature Reviewmentioning

confidence: 99%

An energy dispatch optimization for hybrid power ship system based on improved genetic algorithm

Wang,

Zhu,

Luo

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part A:

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“…For instance, the rulebased method includes the support vector machine, frequency control, and droop control. [11][12][13] In Chen et al, 11 a power allocation strategy based on the support vector machine and frequency control is suggested for the fuel cell ship. The FCS output power keeps stable and the high-frequency load power is supplied by the ESS.…”

Section: Introductionmentioning

confidence: 99%

“…The power allocation strategy can be classified into rule based and optimization based. For instance, the rule‐based method includes the support vector machine, frequency control, and droop control 11–13 . In Chen et al, 11 a power allocation strategy based on the support vector machine and frequency control is suggested for the fuel cell ship.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of battery energy storage system size and power allocation strategy for fuel cell ship

Cao

Geng

2023

Energy Science & Engineering

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The fuel cell system (FCS) is commonly combined with an energy storage system (ESS) for enhancing the performance of the ship. Consequently, the battery ESS size and power allocation strategy are critical for the hybrid energy system. This paper focuses on designing a method to solve these two problems. First, a battery degradation model is employed to assess the ESS lifetime. Subsequently, the sizing problem and the optimal power allocation are integrated into a cost‐minimization problem, which is solved by a double‐loop optimization approach. The inside loop utilizes the battery degradation model to calculate ESS lifetime. In the outside loop, a power allocation strategy based on the hybrid Particle Swarm Optimization algorithm and Gray Wolf Optimization algorithm is presented. Finally, the power allocation strategy is extended to real‐time implementation by the equivalent consumption minimization strategy (ECMS) and an improved ECMS is proposed to make the FCS operates near the maximal efficiency point. Compared with ECMS, the operating cost reduces by 0.26%. The result indicates that the proposed method can optimize the ESS size efficiently, and the power allocation strategy can assure the stable operation of the fuel cell ship.

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“…In this light, the extensive electrification and hybridization of ships have become a major technology trend, thus increasing the efficiency, performance, and flexibility of ship power systems (SPS) [1], [2]. Energy storage systems (ESS) such as batteries provide benefits to the power system in terms of increased system stability and efficiency as well as reduced operational costs [3], [4].…”

Section: Introductionmentioning

confidence: 99%

An Optimal Energy Management System for Marine Hybrid Power Systems

Park

Perabo

Choi

et al. 2021

2021 IEEE 22nd Workshop on Control and Modelling of Power Electronics (COMPEL)

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This paper proposes an optimal control strategy for the energy management system (EMS) of marine hybrid power systems with the objective of reducing operational expenses (OPEX) and environmental emissions. Here, the OPEX includes main parameters such as the fuel consumption, degradation, and maintenance of diesel engines. The engines as the maintenanceintense devices in the power systems are expensive to operate not only due to the fuel cost, but also the cost of maintenance and overhaul. Hence, better engine management will improve the overall system efficiency and reliability. In the proposed method, the engine operation is further improved in terms of running hours and transient loading. The optimization algorithm is designed based on mixed-integer linear programming (MILP) considering the physical constraints of the engine-generators and battery-related limits. The developed EMS is then tested with a real ship profile by the different cases of with and without battery and with various battery capacities. The results show the effectiveness of the proposed EMS to improve the operation of the hybrid power system for a stable, efficient, and reliable ship operation.

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Dynamic Modeling, Stability Analysis, and Power Management of Shipboard DC Hybrid Power Systems

Cited by 26 publications

References 35 publications

An energy dispatch optimization for hybrid power ship system based on improved genetic algorithm

An energy dispatch optimization for hybrid power ship system based on improved genetic algorithm

Optimization of battery energy storage system size and power allocation strategy for fuel cell ship

An Optimal Energy Management System for Marine Hybrid Power Systems

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