A linear programming approach to shipboard electrical system modeling

Chan, Ricky; Sudhoff, Scott D.; Lee, Yonggon; Zivi, E.

doi:10.1109/ests.2009.4906524

Cited by 18 publications

(25 citation statements)

References 7 publications

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“…Two significant shortcomings associated with the previous linear programming approach [6] have been identified and are addressed herein. The first shortcoming is the potential to attempt to solve infeasible linear programs.…”

Section: Previous Methodsmentioning

confidence: 99%

“…Therefore, the computational burden of operability evaluation can be reduced by neglecting the electrical dynamics of the IEP in the IEP system simulation [4], [6]. A previously proposed approach to this has involved the use of linear programming to model the action of the power system [6]. In this approach, the mechanical dynamics associated with prime movers are retained, but the electrical power flow is modeled statically.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, it has been found that the electrical dynamics of the IEP have little effect on the dependability of the IEP so long as the electrical system has been well designed (e.g., stable) [4], [6]- [8]. Therefore, the computational burden of operability evaluation can be reduced by neglecting the electrical dynamics of the IEP in the IEP system simulation [4], [6]. A previously proposed approach to this has involved the use of linear programming to model the action of the power system [6].…”

Section: Introductionmentioning

confidence: 99%

“…The assessment and optimization of dependability require a great number of operability evaluations [2], [4]. Furthermore, it has been found that the electrical dynamics of the IEP have little effect on the dependability of the IEP so long as the electrical system has been well designed (e.g., stable) [4], [6]- [8]. Therefore, the computational burden of operability evaluation can be reduced by neglecting the electrical dynamics of the IEP in the IEP system simulation [4], [6].…”

Section: Introductionmentioning

confidence: 99%

“…The remainder of this paper is organized as follows. In Section II, two significant shortcomings of the previous linear programming approach described in [6] are described. Then, the proposed linear programming approach is set forth in Section III.…”

Section: Introductionmentioning

confidence: 99%

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Shipboard electrical system modeling for early-stage design space exploration

Cramer

Chen

Zivi

2013

2013 IEEE Electric Ship Technologies Symposium (ESTS)

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In early-stage design exploration, it has been found that electrical dynamics do not significantly affect the dependability of an integrated engineering plant. Therefore, it has been found useful to neglect these electrical dynamics and focus on mechanical, thermal, and fluidic dynamics in assessing system performance. Previous methods of accomplishing this goal involve the use of linear programming to describe the behavior of the electrical system. Herein, two significant shortcomings of the existing linear programming methods are identified, and a method of representing the electrical system that addresses these shortcomings is proposed. The proposed method is demonstrated in several system studies.

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Section: Previous Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Shipboard electrical system modeling for early-stage design space exploration

Cramer

Chen

Zivi

2013

2013 IEEE Electric Ship Technologies Symposium (ESTS)

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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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