Optimum design of hybrid HVDC circuit breakers using a parallel genetic algorithm and a MATLAB‐EMTP environment

Corea‐Araujo, Javier A.; Martínez-Velasco, Juan A.; Magnusson, Jesper

doi:10.1049/iet-gtd.2016.1500

Cited by 10 publications

(9 citation statements)

References 33 publications

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“…As a model of Chinese traditional color culture, black representing the Earth color after fixation of local river mud and yellow dyed by Dioscorea are also important colors in the Chinese traditional five-color system. Its color culture is in one continuous line with Chinese traditional culture, reflecting strong regional characteristics [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Image Representational Path of Regional Cultural and Creative Products Based on Genetic Algorithm

Han

2022

Computational Intelligence and Neuroscience

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Wenchuang product is the abbreviation of cultural and creative products, which is a modern extension of traditional culture. Its dissemination is conducive to enhancing the popularity, appeal, and influence of Chinese traditional culture. As an important carrier and manifestation of cultural and creative industries, Wenchuang products are the integration of regional cultural industry development and the dominant presentation of regional politics, culture, and economy. As a highly parallel, random, and adaptive search algorithm, genetic algorithm has been widely used in personalized product design, conceptual design, product optimization design, and intelligent design, etc. Based on the genetic algorithm, this paper studies the image representation of regional cultural and creative products. In the field of image representation design of regional cultural and creative products, tree structure coding, real number coding, binary coding, etc. are widely used in this field, and these coding methods all meet the innovative requirements of designers. In the field of image representation design of regional cultural and creative products, genetic coding, as a very important part of applying genetic algorithm, plays a very important role in its research and application.

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Section: Introductionmentioning

confidence: 99%

Image Representational Path of Regional Cultural and Creative Products Based on Genetic Algorithm

Han

2022

Computational Intelligence and Neuroscience

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“…The algorithm adopted to define the location of DGs must explore a solution space that increases with the size of the system. Moreover, such an algorithm must execute a large amount of power flow analyses to find a good solution, hence a time-efficient approach is required [35]. Therefore, to extend the exploration of the solution space using the PBIL algorithm, without significantly increasing the processing time, this paper proposes a parallel implementation of the PBIL (PPBIL).…”

Section: Introductionmentioning

confidence: 99%

Optimal Sizing and Location of Distributed Generators Based on PBIL and PSO Techniques

2018

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The optimal location and sizing of distributed generation is a suitable option for improving the operation of electric systems. This paper proposes a parallel implementation of the Population-Based Incremental Learning (PBIL) algorithm to locate distributed generators (DGs), and the use of Particle Swarm Optimization (PSO) to define the size those devices. The resulting method is a master-slave hybrid approach based on both the parallel PBIL (PPBIL) algorithm and the PSO, which reduces the computation time in comparison with other techniques commonly used to address this problem. Moreover, the new hybrid method also reduces the active power losses and improves the nodal voltage profiles. In order to verify the performance of the new method, test systems with 33 and 69 buses are implemented in Matlab, using Matpower, for evaluating multiple cases. Finally, the proposed method is contrasted with the Loss Sensitivity Factor (LSF), a Genetic Algorithm (GA) and a Parallel Monte-Carlo algorithm. The results demonstrate that the proposed PPBIL-PSO method provides the best balance between processing time, voltage profiles and reduction of power losses.Energies 2018, 11, 1018 2 of 27 generation [11,12]: reduction of power losses (due to transmission), improvement of voltage profiles and stability index, power factor enhancement, reduction of the harmonic distortion and increased line loadability, among others [13]. However, incorrect location or sizing procedures may result in voltage profiles out of conventional ranges, voltage fluctuations, line capacity violation, increased failure levels due to intermittent generation and higher costs associated to the DGs [14].Different methods have been developed to optimize the location and sizing of DGs. Those methods are aimed at reducing the computation time required and to improve the technical criteria of the grid, such as power losses, voltage profiles and power factor, among others [15,16]. For example, the work reported in [17] presents a hybrid method between the genetic algorithm proposed by Chu and Beasley (GACB) [18] and a heuristic approach to locate, select and size the feeders in a distributed generation environment. Such a strategy enables the reduction of the costs associated with the feeders (DGs) and the power losses, which is achieved by reducing the peak load using active power injection based on diesel-based DGs only. On the other hand, the work reported in [19] describes a multi-target approach based on the Particle Swarm Optimization (PSO) technique for locating the DGs, and an optimal flow analysis for sizing the DGs. That work considers several generators and different load models, thus enabling high penetration levels of distributed generation.A similar approach was presented in [20], which is a hybrid solution based on both the GACB and PSO. The main drawbacks of such a solution were the high level of power injection requested to the DGs and the lack of analysis of the computation time required by the proposed method. Another solution, based on the Loss ...

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“…This means multiple sets of solutions may exist to achieve the required converter DC-FRT behaviour and system restoration speed. A multi-objective optimization approach has thus been taken to coordinate the design of DCCBs in HVDC grids [97,98,127,128].…”

Section: Coordinated Design Of Dccbs In Fully Selective Protection Strategiesmentioning

confidence: 99%

“…Both time-domain simulations [127,128] and analytical approximations [97,98] are used to find the optimal sets of parameters, such as inductance, breaker opening time, breaker interruption capability and breaker energy absorption capability. A multi-objective genetic algorithm (GA) is proposed in [127] to optimize key parameters of a hybrid DCCB using a combined Matlab-EMTP implementation.…”

Section: Coordinated Design Of Dccbs In Fully Selective Protection Strategiesmentioning

confidence: 99%

Multi‐vendor interoperability in HVDC grid protection: State‐of‐the‐art and challenges ahead

Wang

Leterme

Chaffey

et al. 2021

IET Generation Trans & Dist

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Multi-vendor interoperable HVDC grid protection is key to build large-scale HVDC grids in a step-by-step manner. On the one hand, various protection strategies and technologies have been developed in the past decade to address the challenges associated with HVDC grid protection. On the other hand, state-of-the-art HVDC technologies are often vendorspecific and there is a general lack of standardisation on HVDC systems as the majority of existing HVDC systems have been built by single vendors as turn-key projects. In recent years, driven by the need to develop multi-vendor HVDC grids, both national and international standardisation bodies have been working on guidelines and pre-standardisation for HVDC systems. This paper provides a comprehensive review of the recent progress on HVDC grid protection focusing on multi-vendor interoperability and identifies the main challenges to achieve interoperable HVDC grid protection. Compared to AC system protection, the fundamental differences of multi-vendor interoperability in HVDC grid protection are the possible co-existence of multiple protection philosophies and the extended scope of the fault clearing process in terms of protection and control. The challenges and research needs related to multi-vendor HVDC grid protection due to these fundamental differences are identified.

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Optimum design of hybrid HVDC circuit breakers using a parallel genetic algorithm and a MATLAB‐EMTP environment

Cited by 10 publications

References 33 publications

Image Representational Path of Regional Cultural and Creative Products Based on Genetic Algorithm

Image Representational Path of Regional Cultural and Creative Products Based on Genetic Algorithm

Optimal Sizing and Location of Distributed Generators Based on PBIL and PSO Techniques

Multi‐vendor interoperability in HVDC grid protection: State‐of‐the‐art and challenges ahead

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