Management and Distribution Strategies for Dynamic Power in a Ship’s Micro-Grid System Based on Photovoltaic Cell, Diesel Generator, and Lithium Battery

Combining new energy technology with electric propulsion technology is an effective way to decrease the pollution of water resources caused by cruise ships. This study examines the stable parallel operation of a ship’s micro-grid system through a dynamic power management strategy involving a step change in load. With cruise ships in mind, we construct a micro-grid system consisting of photovoltaics (PV), a diesel generator (DG), and a lithium battery and establish a corresponding simulation model. We then analyze the system’s operating characteristics under different working conditions and present the mechanisms that influence the power quality of the ship’s micro-grid system. Based on an analysis of the power distribution requirements under different working conditions, we design a power allocation strategy for the micro-grid system. We then propose an optimization allocation strategy for dynamic power based on fuzzy control and a load current feed-forward method, and finally, we simulate the whole system. Through this study we prove that the proposed power management strategy not only verifies the feasibility and correctness of the ship’s micro-grid structure and control strategy, but also greatly improves the reliability and stability of the ship’s operation.

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Power Management Strategy and Control of Islanded DC Micro-Grid System

10.1109/upcon52273.2021.9667604 ◽

2021 ◽

Author(s):

Bhim Singh ◽

Munesh Kumar Singh

Keyword(s):

Power Management ◽

Management Strategy ◽

Grid System ◽

Power Management Strategy ◽

Micro Grid ◽

And Control

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Dynamic power management strategy based on weighted Markov model

Information and Communication Technology for Education ◽

10.2495/icte130731 ◽

2014 ◽

Author(s):

Zujin Yu ◽

Youmeng Li ◽

Yikui Zhang

Keyword(s):

Markov Model ◽

Power Management ◽

Management Strategy ◽

Dynamic Power Management ◽

Dynamic Power ◽

Power Management Strategy

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Idleness-Aware Dynamic Power Mode Selection on the i.MX 7ULP IoT Edge Processor

Journal of Low Power Electronics and Applications ◽

10.3390/jlpea10020019 ◽

2020 ◽

Vol 10 (2) ◽

pp. 19

Author(s):

Alfio Di Mauro ◽

Hamed Fatemi ◽

Jose Pineda de Gyvez ◽

Luca Benini

Keyword(s):

Power Consumption ◽

Power Management ◽

Management Strategy ◽

Low Cost ◽

Mode Selection ◽

Worst Case ◽

Dynamic Power ◽

Dynamic Tuning ◽

Power Management Strategy ◽

Power Mode

Power management is a crucial concern in micro-controller platforms for the Internet of Things (IoT) edge. Many applications present a variable and difficult to predict workload profile, usually driven by external inputs. The dynamic tuning of power consumption to the application requirements is indeed a viable approach to save energy. In this paper, we propose the implementation of a power management strategy for a novel low-cost low-power heterogeneous dual-core SoC for IoT edge fabricated in 28 nm FD-SOI technology. Ss with more complex power management policies implemented on high-end application processors, we propose a power management strategy where the power mode is dynamically selected to ensure user-specified target idleness. We demonstrate that the dynamic power mode selection introduced by our power manager allows achieving more than 43% power consumption reduction with respect to static worst-case power mode selection, without any significant penalty in the performance of a running application.

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Power Management Strategy for an Autonomous DC Microgrid

Applied Sciences ◽

10.3390/app8112202 ◽

2018 ◽

Vol 8 (11) ◽

pp. 2202 ◽

Cited By ~ 10

Author(s):

Changjie Yin ◽

Hongwei Wu ◽

Manuela Sechilariu ◽

Fabrice Locment

Keyword(s):

Power Management ◽

Management Strategy ◽

Experimental Studies ◽

Operating Mode ◽

Power Balance ◽

Diesel Generator ◽

Dc Microgrid ◽

Power Sources ◽

Power Management Strategy ◽

Start Up

Owing to the intermittent nature of renewable energy, microgrids in islanding operation mode require backup power sources. The diesel generator is the most popular backup source, but does not offer an instantaneous start-up and cannot immediately provide the necessary power. Therefore, supercapacitors are used to assist the power balance during diesel generator start-up thanks to their responsiveness and high-power density. This paper proposed a power management strategy for an autonomous DC microgrid based on a photovoltaic source, electrochemical storage, a supercapacitor, and a diesel generator. The proposed control system aimed at power balance while accounting for the slow start-up characteristic of the diesel generator, the self-discharge of the supercapacitor, the dynamic load management, and the economic operating mode of the diesel generator. The main contribution of this paper centered on a power management strategy solving the above issues integrally, and economic analysis for the diesel generator and microgrid. Experimental studies were carried out for different scenarios and the results obtained confirmed the effectiveness of the proposed strategy. Furthermore, the study provided a comparison between the economic operating and load-following modes of the diesel generator and demonstrated that the economic operating mode of the diesel generator can reduce the total energy cost of the DC microgrid.

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