A trip-ahead strategy for optimal energy dispatch in ship power systems

Taheri, Seyed Iman; Vieira, Giovani Giulio Tristão Thibes; Salles, Maurício B. C.; Avila, Sergio

doi:10.1016/j.epsr.2020.106917

Cited by 17 publications

(8 citation statements)

References 24 publications

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“…It is obvious that when the air temperature changes from 27 to 62 °C, the k RCL value varies from 0.96 to 0.88, and when the three parameters change (T, D, φ) -from 0.93 to 0.85. In the analysis, it is accepted that the temperature of the cooling water varies within 25÷35 °C [33]. Thus, the law is established for determining k RCL whose application in algorithms (1) renders flexibility in the generation of predicates PH(l), РD(l).…”

Section: Materials and Methods For Synthesizing Basic Algorithms For The Higher Levels Of Saeps Controlmentioning

confidence: 99%

Solving a task of coordinated control over a ship automated electric power system under a changing load

Budashko

Shevchenko

2021

EEJET

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This paper reports the synthesis of the main processes for the basic control over a complex technical vessel system. The issue related to the semantics of the description and the method for decomposing management tasks has been proposed to resolve in the context of the synthesis of the program to coordinate control over vessel technical systems and complexes with a sophisticated structure. An example of a five-unit ship’s automated electric power system (SAEPS) for the predefined level of generated power, taking into consideration the efficiency criteria, was used to synthesize the algorithms that execute transitions from one level to another while taking into account the pre-emergency and emergency states of SAEPS. The organization of the sequential process of enabling/disabling generator units (GUs) implies developing a program for managing the coordinator's supervisor as part of a distributed two-level hierarchical structure of SAEPS control when the load changes. The sequence of operations to launch, synchronize, transfer the loading, and stop GU is based on the formation of GU optimal composition, the distribution of loads among GUs running in parallel, and the implementation of the program for optimizing the primary engine of the power plant. The reported principles for constructing GU composition control procedures based on the principle of "rigid and flexible" thresholds have made it possible to build a diagram of adjustment of the time delay in enabling GU dependent on the demanded power. It has been proven that the proposed technique improves the reliability of SAEPS operation as it eliminates possible emergency modes when false control combinations are assigned. Databases on the quantity of GUs, their technical condition, loading, fuel consumption, and environmental parameters have been built. The synthesis of control over a five-unit SAEPS has made it possible to determine the algorithmization procedure based on using an extended data array and simplify the functioning algorithm involved in the operations of choosing the structure for a five-unit SAEPS

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Section: Materials and Methods For Synthesizing Basic Algorithms For The Higher Levels Of Saeps Controlmentioning

confidence: 99%

Solving a task of coordinated control over a ship automated electric power system under a changing load

Budashko

Shevchenko

2021

EEJET

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“…In the past, the logic was to have separate generation for various parts of the ship such as hotel loads, radar, and propulsion [25,26,27,28]. This was mostly due to the variation in power ratings at different stages, which did not allow them to be connected together.…”

Section: Mvdc Shipboardsmentioning

confidence: 99%

Microgrids in mission-critical applications

Rath

Konstantinou

Papari

et al. 2022

Cyber Security for Microgrids

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Similar to utility grid and other terrestrial microgrids, aircraft electric power systems (EPS) and shipboard microgrids have their own power generation, distribution, utilization and generation storage. The rapid development of power electronics technology has allowed the converters to operate at DC voltage levels required for transmission, distribution and consumption. However, the coordination among power electronic converters can lead to malicious intrusions that aim to manipulate microgrids' operation and cause deviation from their mission-critical objectives. Such manipulations may lead to disturbances during motion, thus posing serious risks to passenger lives and cargo. The disturbances can also affect operations in critical sectors like commercial transportation and defence which may directly influence the global economy and national security. This chapter overviews the industrial security measures considered for microgrids in mission-critical applications, such as those found in electric aircrafts and shipboard power systems, with further insights on vulnerable areas which can be exploited by stealthy attackers.

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“…These objective functions are often selected to improve the operation and voltage stability of the distribution system 5 . In this regard, the most common interesting objective functions are minimizing the cost, 6 conductor losses, 7 and voltage deviation from nominal in distribution systems 8 . Therefore, the decision‐maker selected objective functions have determined the general motivating features of the optimal placement of AVRs in the distribution system 9 …”

Section: Introductionmentioning

confidence: 99%

Supporting distributed energy resources with optimal placement and sizing of voltage regulators on the distribution system by an improved teaching‐learning‐based optimization algorithm

Taheri

Salles

Khan

2021

Int Trans Electr Energ Syst

Self Cite

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Summary The continuous increase of the distributed energy resources (DERs) penetration levels leads to voltage stability problems in the distribution system. One of the approaches for the mentioned emerging challenge is the proper placement of automatic voltage regulators (AVRs). This paper investigates the optimal placement and sizing of AVRs in a distribution network by presenting a new modification of the teaching‐learning‐based optimization (TLBO) algorithm. The objective functions consist of minimizing the distribution system voltage deviation, energy generation cost, and electrical losses. The modification improves the convergence velocity and accuracy of the TLBO algorithm using the combination of mutation technique and quasi‐opposition‐based‐learning concept. This paper compares the performance of the proposed algorithm with other famous evolutionary algorithms. The test distribution system contains installed DERs that work more efficiently after the placement of AVRs based on the mentioned objective functions by the proposed optimization algorithm. The simulation results display the best optimization algorithms for AVRs placement with a significant level of less than 0.10 (ie, probability‐value). The proposed multiobjective optimization algorithm's considerable merit is the accuracy and convergence velocity in solving this specific optimization problem.

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A trip-ahead strategy for optimal energy dispatch in ship power systems

Cited by 17 publications

References 24 publications

Solving a task of coordinated control over a ship automated electric power system under a changing load

Solving a task of coordinated control over a ship automated electric power system under a changing load

Microgrids in mission-critical applications

Supporting distributed energy resources with optimal placement and sizing of voltage regulators on the distribution system by an improved teaching‐learning‐based optimization algorithm

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