Instantaneous power quality indices detection under frequency deviated environment

Deng, Jianyang; Lam, Chi-Seng; Wong, Man-Chung; Sin, Sai-Weng; Martins, Rui P.

doi:10.1049/iet-smt.2018.5123

Cited by 13 publications

(7 citation statements)

References 21 publications

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“…Transformation and capacity increase of PG system: The use of flexible DC TS for PS can achieve rapid and flexible control of active and reactive power. Its output voltage has low harmonic content, which can ensure the stability of power quality [23]. The coupling relationship between AC and DC systems in the PG has been weakened.…”

Section: Mop Methods For Control Parameters Of Flexible DC Transmissi...mentioning

confidence: 99%

Multi‐objective optimization method for control parameters of flexible direct current transmission converters based on intelligent algorithms

Yu,

Tang,

et al. 2023

IET Generation Trans & Dist

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In order to meet the current needs of power transmission, people have turned their attention to direct current (DC) transmission. When the alternating current(AC) power grid (PG) fails, it is easy to cause commutation failure in the DC system, thereby increasing the fault scope of the system. Therefore, this article adopts a flexible DC transmission system. Flexible DC converters have many control parameters, and there are mutual influences and conflicts between these parameters. By applying intelligent algorithms to multi‐objective optimization (MOP), these complex MOP problems can be effectively solved and an optimal set of control parameter combinations can be found. This method has an important contribution and novelty for optimizing the converter control parameters of flexible DC transmission systems. This article achieves fast and accurate MOP of the control parameters of flexible DC transmission converters by continuously detecting the similarities between antibodies and maintaining the diversity of the population. The research results show that the average DC side current is about 405A in the first 20 seconds, and the DC side current fluctuates regularly after 20 seconds. This article lays the foundation for establishing a real‐time simulation model of flexible DC transmission systems suitable for real‐time simulation systems.

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Section: Mop Methods For Control Parameters Of Flexible DC Transmissi...mentioning

confidence: 99%

Multi‐objective optimization method for control parameters of flexible direct current transmission converters based on intelligent algorithms

Yu,

Tang,

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…Machine learning is a type of AI that uses algorithms to learn from data and make predictions. Deep learning is a type of machine learning that uses neural networks [4] to process data. Natural language processing (NLP) is a type of AI that uses algorithms to understand and generate human-like conversations.…”

Section: Types Of Artificial Intelligencementioning

confidence: 99%

The Benefits and Challenges of ChatGPT: An Overview

Deng¹,

Lin²

2023

FCIS

Self Cite

326

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This paper provides an overview of ChatGPT, a natural language processing (NLP) system developed by Open AI. It discusses the features of ChatGPT, its benefits, and its challenges. The paper also provides an analysis of the potential applications of ChatGPT and its limitations. The paper concludes that ChatGPT is a powerful NLP system that can generate human-like conversations, but it has some challenges that must be addressed.

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“…Selecting the reconnaissance bee: Besides the greedy worker bee, the remaining worker bees are referred to as "reconnaissance bees". They randomly select a new solution for search to explore other regions of the solution space (Deng et al, 2019;Zhao and Kok Foong, 2022).…”

Section: Artificial Bee Colony Algorithmmentioning

confidence: 99%

Algorithm for planning shelters in oil and gas energy resource-based cities based on artificial intelligence resilient city model

Liang,

2023

Front. Energy Res.

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Cities based on oil and gas energy resources are crucial to energy production and economic development, but they also face various disasters and security risks. To ensure the safety and well-being of urban residents during disaster events, the planning of urban shelters is crucial. In this paper, comprehensively considering multiple factors such as disaster risk, population distribution, and convenient transportation, the artificial bee colony algorithm is used to optimize the site selection and capacity planning of shelters. By comprehensively evaluating the disaster resistance capacity of urban refuges, the response speed of residents and other related indicators, the planning algorithm of refuges is continuously optimized to better meet the needs of oil and gas energy resource-based cities. The results of the study showed that the average overall disaster resilience of AI-based urban shelters reached 0.64. When the distance to the shelter was 4 km, the average response speed of residents reached 10.22 min, and other indicators also improved. The research shows that the oil and gas energy urban refuge planning algorithm based on the artificial intelligence elastic city model provides an innovative approach for urban planners and disaster managers. Further research and practice will help promote the application of this algorithm in real cities, improving the resilience and disaster resistance of cities and the safety and security level of residents.

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Instantaneous power quality indices detection under frequency deviated environment

Cited by 13 publications

References 21 publications

Multi‐objective optimization method for control parameters of flexible direct current transmission converters based on intelligent algorithms

Multi‐objective optimization method for control parameters of flexible direct current transmission converters based on intelligent algorithms

The Benefits and Challenges of ChatGPT: An Overview

Algorithm for planning shelters in oil and gas energy resource-based cities based on artificial intelligence resilient city model

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