Implementation of Optimization-Based Power Management for All-Electric Hybrid Vessels

Chua, Liza Wan Yuan.; Tjahjowidodo, Tegoeh; Seet, Gerald; Chan, Ricky

doi:10.1109/access.2018.2883324

Cited by 49 publications

(57 citation statements)

References 24 publications

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“…In this work, the EMS model decides the causality of the generator depending on the priority selection of the generator and the status of the bus-tie breaker. Moreover, rule-based EMS strategies are formulated assuming that the maximum battery discharging power (P BDmax ) is always less than generator optimal power (P Gopt ) (see Table I) based on [40]. The load power, generator power reference, minimum generator power, maximum battery charging power, and battery power reference are denoted by P L , P G , P Gmin , P BCmax , and P B , respectively.…”

Section: A Tertiary Control Systemmentioning

confidence: 99%

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Dynamic Modeling, Simulation, and Testing of a Marine DC Hybrid Power System

Ghimire

Zadeh

Pedersen

et al. 2021

IEEE Trans. Transp. Electrific.

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The hybridization of power systems offers the low-emission and energy-efficient marine vessels. However, it increases the complexity of the power system. Design, analysis, control, and optimization of such a sophisticated system require reliable and efficient modeling tools to cover a wide range of applications. In this work, a typical DC hybrid power system model is developed using a bond graph modeling approach. Necessary component models of varying degrees of fidelity are developed and integrated to build a system model with reasonable accuracy. The developed system model, along with the rule-based energy management system, is used to simulate the entire system and to investigate the load-sharing strategies as well as the system stability in various operating scenarios. Moreover, the simulation results are validated with experimental results conducted on a full-scale laboratory setup of DC hybrid power system and with a ship load profile. The results show that the system model is capable of capturing the fundamental dynamics of the real system. The hybrid power system model is further used to analyze the bus voltage deviation from its nominal value. The computational efficiency presented by the system is fairly good as it can simulate faster than real-time. The developed system model can be used to build up a comprehensive simulation platform for different system analysis and control designs. Index Terms-Marine hybrid power systems, onboard DC power systems, modeling, stability, power and energy management I. INTRODUCTION T HE International Maritime Organization (IMO) has proposed stringent regulations to reduce emissions and improve energy-efficiency from the shipping industry. The energy-efficiency, low-, zero-emission, and innovative technologies are being investigated to comply with the regulations [1]. The energy storage device (ESD) based zero-emission vessel is still challenging for all types of marine vessels due to the low energy density of ESDs [2], [3]. The low energy density of ESD is compensated by the conventional Manuscript

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Section: A Tertiary Control Systemmentioning

confidence: 99%

“…The full-scale lab experimental data and the harbor tugboat load profile obtained from [1], [40] is used to validate the simulation results in the system level.…”

Section: A System Model Validationmentioning

confidence: 99%

Dynamic Modeling, Simulation, and Testing of a Marine DC Hybrid Power System

Ghimire

Zadeh

Pedersen

et al. 2021

IEEE Trans. Transp. Electrific.

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“…This work instead uses multi-period optimal power flow as a benchmark for an ideal controller in order to evaluate power system architectures. The metric of success is a system's ability to meet a set of dynamic loads, rather than fuel consumption [27], [28], reconfiguration in the presence of a fault [29], or other metrics.…”

Section: Approachmentioning

confidence: 99%

“…In reality, energy storage units have rate limits too, but they are much faster than a generator's and the simulation time step, so they are considered infinite. In setting up the optimization problem, the generator ramp rate and energy storage constraints (27)- (28) are added as linear inequality constraints (3) and the energy storage terminal constraints (30) are added as linear equality constraints (2).…”

Section: ) Energy Storagementioning

confidence: 99%

Upper Bound Performance of Shipboard Power and Energy Systems for Early-Stage Design

Sinsley

Opila

et al. 2020

IEEE Access

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Shipboard power systems that service large-scale dynamic loads and electric propulsion can significantly improve their performance by adding controllable energy storage. These systems require power management controls that consider dynamics like generator ramp rates, along with energy storage capacity and location. In the early-stage design process, many alternative designs are considered, and each requires a unique controller. This paper describes a numerical optimization technique that establishes an upper bound performance criteria without manually designing controllers for each system. The solution is a best case performance that assumes perfect future knowledge of the time-varying load. While unrealistic in real-time, this technique yields a fair comparison between competing architectures without the variability of different control methods. To demonstrate the concept, a notional multi-bus power system architecture is evaluated on a representative set of operational duties to illustrate comparisons between system attributes like energy storage power and efficiency ratings. A design trade study shows that the success rate for a baseline ship can improve from under 60% to nearly 100% by increasing generator power by 10% and energy storage capacity by 100%. These automated architecture benchmarks fit into a broader total ship optimization process, or can be used in human-driven trade studies. INDEX TERMS Electric ship, energy storage, power flow, power system optimization, power management, pulse loads, power system control, ship design.

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“…energy storage devices (ESD) to support the pulse load operation. Besides, the ESD can also increase the flexibility of the IPS, improve system efficiency, serve as backup source under extreme circumstances and reduce emission [6], [7]. Thus the corresponding research on ESD and energy management strategy (EMS) in IPS become important.…”

Section: Introductionmentioning

confidence: 99%

SOC Optimization Based Energy Management Strategy for Hybrid Energy Storage System in Vessel Integrated Power System

Xue-ping

2020

IEEE Access

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Hybrid energy storage system (HESS) consisted of battery and supercapacitor plays an essential role in supporting the normal operation of pulse load in vessel integrated power system (IPS) as well as improving power quality. However, due to the unique properties of the pulse load and diversified operations of the vessel, such advanced power system architectures tend to face greater challenges in optimal power allocation. In order to address the power allocation challenges, a novel optimized state-of-charge (SOC) feedback based energy management strategy is proposed for HESS in IPS to restrain the DC bus voltage fluctuation in this paper. Firstly, considering the operating characteristics of the pulse load in IPS, the optimized SOC of the HESS is introduced to the low-pass filter (LPF) with variable time constant to split the power in the HESS. Secondly, SOC recovery control of the supercapacitor is introduced to the LPF to optimize the size of the HESS as well as prolong the lifetime of the battery. Also, the enforced intervention is introduced to avoid the opposite state of the HESS. The proposed strategy can make full use of the HESS complementary characteristics to compensate the pulse load and optimize the HESS. Finally, the simulation conducted in PSCAD demonstrates the effectiveness of the strategy proposed in pulse load compensation as well as HESS optimization. INDEX TERMS Integrated power system, pulse load, hybrid energy storage system, low pass filter, SOC recovery, SOC feedback.

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Implementation of Optimization-Based Power Management for All-Electric Hybrid Vessels

Cited by 49 publications

References 24 publications

Dynamic Modeling, Simulation, and Testing of a Marine DC Hybrid Power System

Dynamic Modeling, Simulation, and Testing of a Marine DC Hybrid Power System

Upper Bound Performance of Shipboard Power and Energy Systems for Early-Stage Design

SOC Optimization Based Energy Management Strategy for Hybrid Energy Storage System in Vessel Integrated Power System

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