Application of Artificial Intelligence in the Field of Power Systems

Jizhi, Xu

doi:10.11648/j.jeee.20190701.13

Cited by 7 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Due to its learning and generalization capabilities, ANFIS can be expressed as a mathematical representation of the human neural architecture. The accuracy of the energy management system in naval electric ships is important to ensure the availability of power in all modes of operations [30].…”

Section: Ship Smart Grid Power Systemmentioning

confidence: 99%

Designing and Implementation of an Intelligent Energy Management System for Electric Ship power system based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

Gaber¹,

Elbanna²,

El‐Dabah³

et al. 2021

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

Artificial Intelligence (AI) is a promising trend in ship energy management systems (EMS). The motivations of this work are designing and implementation of an intelligent energy management system for ship's electric power system based on an adaptive Neuro-Fuzzy Inference System (ANFIS) and the ship power source is an environmental friend system consists of proton exchange membrane fuel-cell (FCPM) considered as the main power source and battery bank as an electric storage system using (ANFIS) to manage the fuel cell generation by solving the optimization problem to reduce the Hydrogen fuel consumption and ensure the system balance. The benefit of using this technique is to penetrate a new field of using renewable and sustainable energy sources in marine to reduce greenhouse emission and increase the sailing period, system reliability by interfacing with the ship's integrated power system. The simulation of this system is carried out by MATLAB® software and (EMS) is implemented to test rig hardware with computer and interface card to emulate the ship's electric power system. The results obtained from the simulation are compared with the experimental results for the evaluation of the EMS performance.

show abstract

Section: Ship Smart Grid Power Systemmentioning

confidence: 99%

Designing and Implementation of an Intelligent Energy Management System for Electric Ship power system based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

Gaber¹,

Elbanna²,

El‐Dabah³

et al. 2021

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

show abstract

“…Artificial intelligence (AI) and related technologies are effective in solving complex system controls and decision problems [142]. These techniques, such as expert systems (ESs), GAs, fuzzy logic (FL), and ANNs, have emerged with the development of computers [143,144].…”

Section: Artificial Intelligence Algorithmsmentioning

confidence: 99%

The Power System and Microgrid Protection—A Review

et al. 2020

View full text Add to dashboard Cite

In recent years, power grid infrastructures have been changing from a centralized power generation model to a paradigm where the generation capability is spread over an increasing number of small power stations relying on renewable energy sources. A microgrid is a local network including renewable and non-renewable energy sources as well as distributed loads. Microgrids can be operated in both grid-connected and islanded modes to fill the gap between the significant increase in demand and storage of electricity and transmission issues. Power electronics play an important role in microgrids due to the penetration of renewable energy sources. While microgrids have many benefits for power systems, they cause many challenges, especially in protection systems. This paper presents a comprehensive review of protection systems with the penetration of microgrids in the distribution network. The expansion of a microgrid affects the coordination and protection by a change in the current direction in the distribution network. Various solutions have been suggested in the literature to resolve the microgrid protection issues. The conventional coordination of the protection system is based on the time delays between relays as the primary and backup protection. The system protection scheme has to be changed in the presence of a microgrid, so several protection schemes have been proposed to improve the protection system. Microgrids are classified into different types based on the DC/AC system, communication infrastructure, rotating synchronous machine or inverter-based distributed generation (DG), etc. Finally, we discuss the trend of future protection schemes and compare the conventional power systems.

show abstract

“…The AIC is considered to be an effective way to embrace the data explosion era and provides excellent ability in data computing. However, the traditional EAIC is based on electronic computing, which is gradually entering the bottleneck period with the upcoming limit of Moore's law [1,2]. Integration size and large power consumption bring big challenges in calculation ability and data processing capacity for EAIC.…”

Section: Introductionmentioning

confidence: 99%

Key Technologies of Photonic Artificial Intelligence Chip Structure and Algorithm

Pei

Bai

et al. 2021

Applied Sciences

View full text Add to dashboard Cite

Artificial intelligence chips (AICs) are the intersection of integrated circuits and artificial intelligence (AI), involving structure design, algorithm analysis, chip fabrication and application scenarios. Due to their excellent ability in data processing, AICs show a long-term industrial prospect in big data services, cloud centers, etc. However, with the conceivable exhaustion of Moore’s Law, the size of traditional electronic AICs (EAICs) is gradually approaching the limit, and an architectural update is highly required. Photonic artificial intelligence chips (PAIC) utilize light beam propagation in the silicon waveguide, contributing to a high parallelism configuration, fast calculation speed and low latency. Due to light manipulation, PAICs perform well in anti-electromagnetic interference and energy conservation. This invited paper summarized the recent research on PAICs. The characteristics of different hardware structures are discussed. The current widely used training algorithm is given and the Photonic Design Automatic (PDA) simulation platform is introduced. In addition, the authors’ related work on PAICs is presented and we believe that PAICs may play a critical role in the deployment of data processing technology.

show abstract

Application of Artificial Intelligence in the Field of Power Systems

Cited by 7 publications

References 16 publications

Designing and Implementation of an Intelligent Energy Management System for Electric Ship power system based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

Designing and Implementation of an Intelligent Energy Management System for Electric Ship power system based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

The Power System and Microgrid Protection—A Review

Key Technologies of Photonic Artificial Intelligence Chip Structure and Algorithm

Contact Info

Product

Resources

About