Research on intelligent power consumption in smart grid

Mu, Li; Qin-xiang, Gao

doi:10.1109/apap.2011.6180561

Cited by 6 publications

(3 citation statements)

References 1 publication

(1 reference statement)

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“…Among the advantages of the smart grid, there is a drastic decrease in maintenance costs and a longer Interoperability explains the technological architecture and software systems through which different systems and technologies are possible. To enable the abilities of smart grid technology, implementations must link large numbers of systems and smart devices, including hardware and software [88]. Besides interoperability, a few more challenges include exploring smart energy management, power consumption, and energy distribution stored in batteries [3].…”

Section: Enhancing Asset Usagementioning

confidence: 99%

Energy Management Systems Using Smart Grids: An Exhaustive Parametric Comprehensive Analysis of Existing Trends, Significance, Opportunities, and Challenges

Khan

Shahid

Alam

et al. 2022

International Transactions on Electrical Energy Systems

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The integration of widely fluctuating distributed generation (such as photovoltaic panels, wind power, electric vehicles, and energy storage systems) puts the stability of power technologies and distribution structures in jeopardy. However, the fundamental reason is that the electrical supply and demand ratio may not be balanced. An excess or scarcity of electricity in the production or consumption of energy can disrupt the system and cause serious difficulties such as voltage drops/rises and, in extreme cases, power outages. Energy management systems can efficiently increase the balance between supply and demand while reducing peak load during unscheduled periods. The energy management system can handle distributing or exchanging energy among the many energy resources available and economically supplying loads in a stable, safe, and effective manner under all power grid operating situations. This article examines the energy control system’s structure, goals, benefits, and challenges through an in-depth investigation of the various stakeholders and participants involved in this system. This review provides a detailed essential analysis of the operation of several programs used inside the power management system, such as demand response, demand management, and energy quality management. It also includes a summary of the smart grid’s functionalities, features, and related techniques and has discovered research gaps, challenges, and issues. Furthermore, in this article, the authors review the literature on the enabling technologies of smart grid and investigate the energy management system, which is among one of the major emerging technologies and quantifications of the various uncertainty techniques. In this paper, the authors also discussed the comprehensive review of researchers’ efforts and contributions to the smart energy management system in the smart grid. It also compares and evaluates the key optimization approaches utilized to achieve the remarkable aims of energy management structures while also fulfilling a variety of constraints. This comprehensive review will be very beneficial for the new researchers, and it would be a great contribution to the research community.

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Section: Enhancing Asset Usagementioning

confidence: 99%

Energy Management Systems Using Smart Grids: An Exhaustive Parametric Comprehensive Analysis of Existing Trends, Significance, Opportunities, and Challenges

Khan

Shahid

Alam

et al. 2022

International Transactions on Electrical Energy Systems

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“…Development Data analysis methods and data application scenarios differ in the field of energy big data. Based on these differences, the development of energy big data can be divided into three periods: the sprout period (before 2010), the boom period (2010-2016), and the innovative development period (after 2016), as shown in Figure 1 [10][11][12]. During the sprout period, energy data-which include device parameters; operating data; trading prices; and the volume data for electricity, coal, and gas-could only be obtained by distributing metering equipment, installing sensors, and maintaining a manual record.…”

Section: Status Review and Trends Of Energy Big Data In Chinamentioning

confidence: 99%

Sustainable Insights for Energy Big Data Governance in China: Full Life Cycle Curation from the Ecosystem Perspective

Zeng

et al. 2022

Sustainability

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With the development of the Energy Internet and the Internet of Things, diversified social production activities are making the interactions between energy, business, and information flow among physical, social, and information systems increasingly complex. As the carrier of information and the hub between physical and social systems, the effective management of energy big data has attracted the attention of scholars. This work indicates that China’s energy companies have carried out a series of activities that are centered on energy big data collection, as well as development and exchange, and that the energy big data ecosystem has begun to take shape. However, the research on and the application of energy big data are mainly limited to micro-level fields, and the development of energy big data in China remains disordered because the corresponding macro-level instructive governance frameworks are lacking. In this work, to facilitate the sustainable development of the energy big data ecosystem and to solve existing problems, such as the difficult-to-determine governance boundaries and the difficult-to-coordinate interests, and to analyze the structure and mechanism of the energy big data ecosystem, data curation is introduced into energy big data governance, and a paradigm is constructed for sustainable energy big data curation that encompasses its full life cycle, including the planning, integration, application, and maintenance stages. Key paradigmatic issues are analyzed in-depth, including data rights, fusion, security, and transactions.

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“…To further improve the quality of real-time data [6][7] , we consider using balance analysis and calculation tools to accurately evaluate the quality of basic data in various power grids through real-time balance calculation and statistical analysis of equipment such as power plants, topology buses, lines, main transformers, and generator-transformer units. This provides technical support for operation and maintenance personnel to promptly identify data quality issues and make targeted corrections [8][9][10][11][12][13] . This article applies traditional determination rules, mainly by calculating the power balance of power plants, topology buses, lines, transformers, and generator-transformer units, in order to diagnose basic model maintenance and measurement data problems, and conduct attribution analysis based on expert experience.…”

Section: Introductionmentioning

confidence: 99%

A real-time data quality analysis method and application for power systems based on balance calculation

MA,

SHAN,

SUN

et al. 2024

Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023)

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The large-scale real-time data of the entire network provides complete and reliable basic data for global analysis and decision-making business scenarios, improves the accuracy of online analysis and calculation, and supports the integrated online analysis and decision-making of the large power grid. In the actual operation process, due to various reasons such as model parameter maintenance errors, abnormal equipment operation, and delayed startup of new equipment, data quality levels fluctuate, affecting the accuracy and real-time performance of calculation results. To further improve the quality of real-time data, balance analysis and calculation tools are used to accurately evaluate the quality of basic data in various power grids through real-time balance calculations and statistical analysis of calculation results for equipment such as power plants, topology buses, lines, and main transformers. This provides technical support for operation and maintenance personnel to promptly identify data quality issues and make targeted corrections.

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Research on intelligent power consumption in smart grid

Cited by 6 publications

References 1 publication

Energy Management Systems Using Smart Grids: An Exhaustive Parametric Comprehensive Analysis of Existing Trends, Significance, Opportunities, and Challenges

Energy Management Systems Using Smart Grids: An Exhaustive Parametric Comprehensive Analysis of Existing Trends, Significance, Opportunities, and Challenges

Sustainable Insights for Energy Big Data Governance in China: Full Life Cycle Curation from the Ecosystem Perspective

A real-time data quality analysis method and application for power systems based on balance calculation

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