A faulted side identification scheme-based integrated distance protection for series-compensated transmission lines

el‐Ghany, Hossam A. Abd; Elsadd, Mahmoud A.; Ahmed, Eman S.

doi:10.1016/j.ijepes.2019.06.021

Cited by 18 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A high penetration of solar-based electricity generation in the power grid could cause difficulties in the system operation, and management, for example voltage instability, harmonics, phase unbalance, voltage drop, and power quality degradation. Some studies have provided useful analysis on the protection of the electricity industry, for example, Abd el- Ghany et al 2019, Adly et al 2020 Additional system flexibility would be needed in order to transform the traditional electricity grid towards the new modern grid that effectively integrate solar energy into the system. Such flexibilities include, for example, supply-side flexibility, demand-side flexibility, well-developed grid infrastructure, and improved system operations.…”

Section: Policy Implicationsmentioning

confidence: 99%

Impacts of Solar Electricity Generation on the Thai Electricity Industry

Wattana

Aungyut

2021

Int. J. Renew. Energy Dev.

View full text Add to dashboard Cite

This paper analyses the impacts of electricity generation from solar energy on the Thai electricity industry. In this paper, three scenarios (REF, Solar2015 and Solar2018) are developed to represent an increased levels of electricity produced from solar energy. A Low Emissions Analysis Platform (LEAP) model is employed, in this paper, to assess the impacts for the period 2019–2037. This paper assesses and analyses the scenario impacts in terms of diversification of electricity generation, fossil fuel requirement and emissions of CO2 and SO2. The analysis reveals that increased electricity generation from solar energy would help diversify energy supply for electricity generation, reduce fossil fuel imports, and therefore help improve energy security of the country. Furthermore, it would help mitigating CO2 and SO2 emissions – an issue of environmental significance. Despite several benefits, there are a number of emerging barriers for promoting electricity generation from solar energy in Thailand. These include the intermittency of solar energy, high-capital cost, unsupportable grid infrastructure and unfavourable regulatory framework. This paper, therefore, suggests that the implementation of energy storage system, provision of financial incentives to potential investors, improvement of grid flexibility and the revision of the regulations to support solar energy business could be effective strategies in order to address the barriers facing the Thai electricity industry.

show abstract

Section: Policy Implicationsmentioning

confidence: 99%

Impacts of Solar Electricity Generation on the Thai Electricity Industry

Wattana

Aungyut

2021

Int. J. Renew. Energy Dev.

View full text Add to dashboard Cite

show abstract

“…A human brain has the capacity to learn, think, and adapt to its environment. It is able to make decisions based on the judgments it makes [6,7]. An artificial neural network, while far from the capabilities of an actual brain, even an animal's brain, performs the same way.…”

Section: Background Of the Studymentioning

confidence: 99%

ANN Distance Protection for Transmission Lines

Africa¹

2019

IJETER

View full text Add to dashboard Cite

When using transmission lines, faults often happen during the flow of signals. One way to protect transmission lines is to use distance protection relays. These types of relays, however, are still affected by fault resistance. Fault conditions often follow a certain pattern. Having a relay that recognizes these patterns can help improve performance. This paper presents a method to implement this using an artificial neural network (ANN). An ANN is one of the many applications of machine learning, which in meaning, is the algorithms that give the ability to computers to obtain knowledge through data and adapt to make certain deductions and choices. This paper will only consider the effect of the fault resistance of a single line-to-ground type of fault. The ANN should be programmed to identify numerous patterns that each correspond to different fault conditions. This will help in identifying and classifying unknown patterns detected in the transmission lines.

show abstract