Global power grid interconnection for sustainable growth: concept, project and research direction

Rafique, Syed Furqan; Shen, Pei; Wang, Zhe; Rafique, Rizwan; Iqbal, Tahir; Ijaz, Salman; Javaid, Umair

doi:10.1049/iet-gtd.2017.1536

Cited by 29 publications

(11 citation statements)

References 47 publications

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“…Clean energy resources integration is one of the sustainable solutions to implement into the energy sector to minimize the impact of climate change [5], [6]. Besides, the global reserves of the conventional energy resources such as coal, natural gas, natural uranium fuel and oil will all be depleted in about 200 years [7].…”

Section: Gcmentioning

confidence: 99%

Overview of the Optimal Smart Energy Coordination for Microgrid Applications

Mbungu¹,

Naidoo²,

Bansal³

et al. 2019

IEEE Access

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This paper describes an overview of the optimal energy coordination/management approaches for microgrids. The article presents the smart grid environment in conjunction with their technologies into the applications of a microgrid when the energy coordination aims to create power flow stability between the generation and consumption of the electricity. This energy equilibrium is made regardless of a power grid complexity that can contain diverse load demands and distributed energy resources (DERs), including renewable energy system (RES), energy storage system (ESS), electric vehicle (EV), etc. A microgrid often contains an energy mix system that requires three control levels, namely primary, secondary and tertiary, to optimize the energy cost and behavior of the system operation and exploitation. Based on several DERs, a microgrid can operate in island mode or be connected to the main grid. The energy coordination for both features is to deal with the energy resources uncertainty, the climate impact, to reduce atmospheric pollution deriving from the conventional power grid, and the energy demand growth. Through the smart grid technology, the optimization approaches of this coordination have brought several improvements into the electrical system. Thus, an overview of an intelligent energy management system for microgrid applications is intensively detailed to structure the implementation strategies which aim to coordinate the energy flow of an electrical system optimally.

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Section: Gcmentioning

confidence: 99%

Overview of the Optimal Smart Energy Coordination for Microgrid Applications

Mbungu¹,

Naidoo²,

Bansal³

et al. 2019

IEEE Access

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“…The scale of existing interconnected power grids is getting bigger and bigger. Not only are the power grids interconnected across regions, but also the interconnection of transnational power grids and global transcontinental power grids has also formed a scale [3,4].…”

Section: Introductionmentioning

confidence: 99%

On-line Update Method for the Sensitivity Consistency Model of Interconnected Power Grid Based on Electric Power Big Data

Lian

Li²,

Wang

et al. 2021

E3S Web Conf.

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Real-time fast calculation of the power flow of the interconnected power grid is an important guarantee for the reliable operation of the interconnected power grid. The topology of the interconnected power grid is complex, and the calculation of the power flow of the whole network is large and timeconsuming. The sensitivity equivalent model can effectively simplify the interconnected power grid and shorten the time of the power flow calculation of the whole network. The operating state of the power grid is constantly changing. In order to ensure the accuracy of the power flow calculation results, it is necessary to update the uniform sensitivity equivalent model in real time. Due to factors such as the vertical management system between the interconnected power grids and the principle of commercial confidentiality, it is difficult to share information between interconnected power grids in real time, and the sensitivity equivalent model cannot be updated in real time, resulting in too much error in the calculation results and no reference value. To solve this problem, this paper proposes an online update method for the sensitivity equivalent model of the interconnected power grid based on power big data to solve the problem of excessive power flow calculation errors caused by the untimely update of the equivalent model parameters, and to ensure the operational reliability of the interconnected power grid.

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“…To ensure the normal progress of human daily life and industrial activities, it is urgent to find new energy sources to replace non-renewable energy sources. Among them, solar energy is one of the energy sources without pollution, and the technology of using solar energy to generate electricity is applied on a large scale [5]. Although solar power has many benefits, problems are still existed such as wide occupation area of the equipment, low energy conversion efficiency, and vulnerability to wind and temperature.…”

Section: Introductionmentioning

confidence: 99%