A Real-Time Power Management Strategy for Hybrid Electrical Ships Under Highly Fluctuated Propulsion Loads

Xie, Peilin; Tan, Sen; Bazmohammadi, Najmeh; Guerrero, Josep M.; Vasquez, Juan C.

doi:10.1109/jsyst.2022.3177843

Cited by 16 publications

(5 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Only a simplified internal resistance of the battery was considered. The battery current (𝐼 𝒃 ) is represented by equation (10).…”

Section: B Modeling Of the Power-trainmentioning

confidence: 99%

“…Similarly, for the motor, infeasible conditions are derived if the actual system torque exceeds the torque limits based on the motor speed. Lastly, for the battery, we set infeasible conditions if the demand exceeds the capacity of the selected battery, based on the equivalent circuit modeling in equation (10). 𝐶 C>) represents the battery capacity.…”

Section: Constraints For Dynamic Programmingmentioning

confidence: 99%

“…However, rule-based strategies, despite being easy to implement and computationally efficient, as mentioned earlier, often require significant adjustments to enhance performance and still cannot guarantee the most optimum solutions. Consequently, research on optimizationbased PMS has been increasing [10], [11]. Optimization approaches involve applying global optimization methods to minimize an objective function, and in the context of power control problems, they determine the optimal power distribution ratio that minimizes the cost function related to fuel consumption and greenhouse gas emissions.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Power Control Strategy Optimization to Improve Energy Efficiency of the Hybrid Electric Propulsion Ship

Hong,

Kim,

Kim

2024

IEEE Access

View full text Add to dashboard Cite

In the maritime and shipping industries, there is a growing demand for environment friendly ships due to increasingly stringent environmental regulations. Hybrid ships, which alter propulsion methods to achieve eco-friendliness, are one such solution. These ships integrate auxiliary power sources with conventional mechanical propulsion systems to optimize engine operating points and enhance propulsion performance. However, hybrid electric propulsion systems are mechanisms that maximize performance by assisting in the efficiency of the main power source through an auxiliary power source, and the efficiency can vary greatly depending on the operation of each power source. Therefore, an optimal power control strategy is needed to maximize efficiency. Heuristic-based control strategies are widely used in hybrid electric vehicles and various industries due to their simplicity and computational efficiency. However, they rely on experiential rule-based definitions, which can lead to suboptimal performance. In this study, to overcome these limitations and increase the energy efficiency of hybrid electric propulsion ships, a global optimization algorithm called Dynamic Programming (DP) is applied to the power control problem to derive a global optimal solution, and an improved heuristic control strategy is established through regression using sigmoid and polynomial functions. The improved control strategy ensures that hybrid power distribution comes closer to global optimality under various SOC conditions, thereby enhancing overall energy efficiency. To evaluate the proposed strategy, a simulator developed for performance assessment of hybrid electric propulsion ships was used. A comparison with the results of the existing heuristic-based strategy confirmed a significant improvement in energy efficiency.

show abstract

“…Only a simplified internal resistance of the battery was considered. The battery current (𝐼 𝒃 ) is represented by equation (10).…”

Section: B Modeling Of the Power-trainmentioning

confidence: 99%

Section: Constraints For Dynamic Programmingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Power Control Strategy Optimization to Improve Energy Efficiency of the Hybrid Electric Propulsion Ship

Hong,

Kim,

Kim

2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…These fluctuations are unpredictable and volatile. Frequency instability is because of the presence of sea waves, 4 wind, and solar technologies when in reference 5, the propeller submergence ratio is found as the main reason for the high‐frequency fluctuation of the propulsion load.…”

Section: Introductionmentioning

confidence: 99%

“…If extreme sea conditions are not handled well, there will be negative impacts such as increased fuel consumption, risk of blackouts due to unpredictable power consumption. A unique multi‐step load forecasting (MSLF) system is proposed 5 by Xie et al The power tracking latency is minimized, fuel efficiency increased, and keeps a good SOC level.…”

Section: Introductionmentioning

confidence: 99%

Frequency regulation of hybrid shipboard microgrid system using butterfly optimization algorithm synthesis fractional‐order controller

Mondal

Latif

Das

et al. 2022

Int J Numerical Modelling

View full text Add to dashboard Cite

Inclusion of intermittent natured renewable energy resources in microgrid to reduce global warming, especially in shipboard power system and due to highly fluctuating propulsion load, frequency control strategy of isolated shipboard hybrid microgrid (ISHMG) is major point of attraction. Hence, a power system of marine vessel with dish‐stirling solar thermal system (DSTS), wind‐driven generation (WDG), solid oxide fuel cell (SOFC), super‐conducting magnetic energy storage (SMES), two different AC‐loads, and propulsion loads are considered as an ISHMG. The main objective of this paper is reducing the mismatch between generation and demand with the help of fractional‐order proportional integral‐derivative (FOPID) controller. To improve the frequency control, the tuning of the controller coefficients plays a major role as the controller's performance fully dependent on the parameters. Accordingly, the recently developed butterfly optimization algorithm (BOA) has been used to optimize the FOPID controller's parameters. Comparative analysis of several techniques like FA, PSO, GOA, SSA, and BOA used for PID, PI, FOPID controllers' optimization, and sensitivity analysis under different parametric variation has been presented to prove the stability of the ISHMG model. Analyzing all the results, it is found that BOA‐based FOPID controller is performing the frequency control far better than other techniques.

show abstract

Optimal Power Generation and Voyage Scheduling in Shipboard Power Systems Considering Load Characteristics-Based Operating Reserve Management

Angkasa,

Zafar,

Chung

2023

J. Electr. Eng. Technol.

View full text Add to dashboard Cite

A Real-Time Power Management Strategy for Hybrid Electrical Ships Under Highly Fluctuated Propulsion Loads

Cited by 16 publications

References 39 publications

Power Control Strategy Optimization to Improve Energy Efficiency of the Hybrid Electric Propulsion Ship

Power Control Strategy Optimization to Improve Energy Efficiency of the Hybrid Electric Propulsion Ship

Frequency regulation of hybrid shipboard microgrid system using butterfly optimization algorithm synthesis fractional‐order controller

Optimal Power Generation and Voyage Scheduling in Shipboard Power Systems Considering Load Characteristics-Based Operating Reserve Management

Contact Info

Product

Resources

About