Microgrid Development Using Model-Based Design

Sonnenberg, Matthew; Pritchard, Ewan; Zhu, Di

doi:10.1109/greentech.2018.00019

Cited by 14 publications

(3 citation statements)

References 10 publications

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“…The energy management strategy can be divided into three categories: rule-based strategies, optimization-based strategies, and a mix of the two. The rule-based strategy is often also called an online strategy and employs control laws and rules to achieve a local optimal point [1,11,14,15,17,19,21]. One advantage of rule-based strategies is that they require less computational power to make decisions.…”

Section: Introductionmentioning

confidence: 99%

Optimization of rule-based energy management strategies for hybrid vehicles using dynamic programming

Zhu¹,

Pritchard²,

Dadam³

et al. 2021

Combustion Engines

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Reducing energy consumption is a key focus for hybrid electric vehicle (HEV) development. The popular vehicle dynamic model used in many energy management optimization studies does not capture the vehicle dynamics that the in-vehicle measurement system does. However, feedback from the measurement system is what the vehicle controller actually uses to manage energy consumption. Therefore, the optimization solely using the model does not represent what the vehicle controller sees in the vehicle. This paper reports the utility factor-weighted energy consumption using a rule-based strategy under a real-world representative drive cycle. In addition, the vehicle test data was used to perform the optimization approach. By comparing results from both rule-based and optimization-based strategies, the areas for further improving rule-based strategy are discussed. Furthermore, recent development of OBD raises a concern about the increase of energy consumption. This paper investigates the energy consumption increase with extensive OBD usage.

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Section: Introductionmentioning

confidence: 99%

Optimization of rule-based energy management strategies for hybrid vehicles using dynamic programming

Zhu¹,

Pritchard²,

Dadam³

et al. 2021

Combustion Engines

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“…The addition of loss models in the component models may increase the complexity and the computational effort. When it comes to an extensive system, it may be computationally demanding to use more accurate models for the components, and their losses [14]. Moreover, high-fidelity models usually require several parameters that may decrease flexibility to reuse such models for efficiency estimation in other power system configurations, and different types of vessels [14].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Efficiency Modeling of a Marine DC Hybrid Power System

Ghimire

Zadeh

Pedersen

et al. 2021

2021 IEEE Applied Power Electronics Conference and Exposition (APEC)

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With the share of high-power electronic converters, the emerging marine DC hybrid power systems have been increasingly attractive for ship designers because of their higher operational flexibility. The system efficiency analysis, one of the critical factors while embracing an emerging system, requires a detailed estimation and evaluation. Conventionally, the rated efficiency for each component is the basis for the system efficiency estimation. However, the efficiency may vary with the loading conditions in any component, directly affected by the actual load and the load-sharing strategies. In this work, dynamic efficiency models are developed for the DC hybrid power system components, which are used to estimate the overall system efficiency using a realistic load power profile and a rule-based power and energy management system (PEMS). The efficiency analysis shows that the overall power efficiency increases with optimal battery usage in a hybrid power system. Moreover, three different power-sharing control strategies are compared. The modified rule-based PEMS offers the highest efficiency, while conventional diesel generator operation offers the least efficiency for the given load profile and power system configuration.

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“…Several variations of this general structure are available in literature, e.g., the V-model approach is often used. It consists of an iterative process, typically used for software development and now also for microgrid design, which associates at each development step a specific test phase for validation [5,6]. In general, the application of the MBD for power system and microgrid studies regards control and protection design and testing [7][8][9], generation sizing [5] and on-board power systems [10].…”

Section: Introductionmentioning

confidence: 99%

Development of a Multiphysics Real-Time Simulator for Model-Based Design of a DC Shipboard Microgrid

et al. 2020

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Recent and strict regulations in the maritime sector regarding exhaust gas emissions has led to an evolution of shipboard systems with a progressive increase of complexity, from the early utilization of electric propulsion to the realization of an integrated shipboard power system organized as a microgrid. Therefore, novel approaches, such as the model-based design, start to be experimented by industries to obtain multiphysics models able to study the impact of different designing solutions. In this context, this paper illustrates in detail the development of a multiphysics simulation framework, able to mimic the behaviour of a DC electric ship equipped with electric propulsion, rotating generators and battery energy storage systems. The simulation platform has been realized within the retrofitting project of a Ro-Ro Pax vessel, to size components and to validate control strategies before the system commissioning. It has been implemented on the Opal-RT simulator, as the core component of the future research infrastructure of the University of Genoa, which will include power converters, storage systems, and a ship bridge simulator. The proposed model includes the propulsion plant, characterized by propellers and ship dynamics, and the entire shipboard power system. Each component has been detailed together with its own regulators, such as the automatic voltage regulator of synchronous generators, the torque control of permanent magnet synchronous motors and the current control loop of power converters. The paper illustrates also details concerning the practical deployment of the proposed models within the real-time simulator, in order to share the computational effort among the available processor cores.

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Microgrid Development Using Model-Based Design

Cited by 14 publications

References 10 publications

Optimization of rule-based energy management strategies for hybrid vehicles using dynamic programming

Optimization of rule-based energy management strategies for hybrid vehicles using dynamic programming

Dynamic Efficiency Modeling of a Marine DC Hybrid Power System

Development of a Multiphysics Real-Time Simulator for Model-Based Design of a DC Shipboard Microgrid

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