Selling the Smart Grid-Part 2: How Consumers Will Interact with the Smart Grid

Yuan, Ye; Chang, Ruay-Shiung; Lv, Hairong; Yin, Wenjun; Yang, Shun Xiang

doi:10.1109/mce.2012.2193691

Cited by 7 publications

(4 citation statements)

References 2 publications

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“…Smart grids and microgrids operating in conjunction with the bulk power system is an accepted solution and robust in theory [6]- [8]. There have been multiple smart grid projects which have enhanced one aspect or another to deal with these extreme events -related challengesyet cohesive, comprehensive, general purpose platforms that can be used to drive rapid industry-wide enablement of resiliency are non-existent.…”

Section: Pillars Of a Secure And Resilient All-renewable Energy Gridmentioning

confidence: 99%

Toward a Secure and Resilient All-Renewable Energy Grid for Smart Cities

Konstantinou

2022

IEEE Consumer Electron. Mag.

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The concept of smart cities is driven by the need to enhance citizens' quality of life. It is estimated that 70% of the world population will live in urban areas by 2050. The electric grid is the energy backbone of smart city deployments. An electric energy system immune to adverse events, both cyber and physical risks, and able to support the integration of renewable sources will drive a transformational development approach for future smart cities. This article describes how the future electric energy system with 100% electricity supply from renewable energy sources requires the "birth of security and resiliency" incorporated with its ecosystem.

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Section: Pillars Of a Secure And Resilient All-renewable Energy Gridmentioning

confidence: 99%

Toward a Secure and Resilient All-Renewable Energy Grid for Smart Cities

Konstantinou

2022

IEEE Consumer Electron. Mag.

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“…With the development of multi-agent theory, the cooperative problem in the distributed system can be solved, due to its autonomy among the multiple DG agents, the consensus control and bidirectional information and energy interaction between power grid and MGs [164,165]. The complex and diverse combination modes among the DG units result in significant difficulties for the real-time control implementation of the MGC.…”

Section: B Mas-based Distributed Coordination Control Of the Microgrmentioning

confidence: 99%

MAS-Based Distributed Coordinated Control and Optimization in Microgrid and Microgrid Clusters: A Comprehensive Overview

Han

Zhang

et al. 2018

IEEE Trans. Power Electron.

367

182

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Abstract-The increasing integration of the distributed renewable energy sources highlights the requirement to design various control strategies for microgrids (MGs) and microgrid clusters (MGCs). The multi-agent system (MAS)-based distributed coordinated control strategies shows the benefits to balance the power and energy, stabilize voltage and frequency, achieve economic and coordinated operation among the MGs and MGCs. However, the complex and diverse combinations of distributed generations in multi-agent system increase the complexity of system control and operation. In order to design the optimized configuration and control strategy using MAS, the topology models and mathematic models such as the graph topology model, non-cooperative game model, the genetic algorithm and particle swarm optimization algorithm are summarized. The merits and drawbacks of these control methods are compared. Moreover, since the consensus is a vital problem in the complex dynamical systems, the distributed MAS-based consensus protocols are systematically reviewed. NOMENCLATURE

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“…It is evident from past studies that consumers are interested in money-saving through time-of-use pricing and price-signals [4]. Demand response (DR) and HEMS are described in [5]. It conveys that HEMSs along with smart energy meters [6] will bring DR on a wide scale.…”

Section: Smart Load Node: What Is It and Why Is It Neededmentioning

confidence: 99%

Smart Load Node for Nonsmart Load Under Smart Grid Paradigm: A New Home Energy Management System

Singh

Roy

Selvan

2019

IEEE Consumer Electron. Mag.

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This article presents a novel approach for efficient operation of non-smart household appliances under smart grid environment using the proposed smart load node (SLN). In real world scenario, there are so many non-smart loads currently in use and embedding appliance specific intelligence into them to make them as smart loads will be more expensive compared to the proposed SLN, which is a common solution for all types of nonsmart loads. This makes the proposed low-cost SLN, which neither requires any infrastructural change in the electrical wiring of a house nor any constructional change in home appliances at the manufacturing stage and at the consumer end, as a feasible solution for intelligent operation of nonsmart home appliances under smart grid environment. The SLNs, which are placed in a home like distributed wireless sensor nodes, form a home area network (HAN). The HAN includes a load management unit (LMU) which acts as master for all distributed SLNs. Wi-Fi is chosen as a medium of communication in the HAN. The LMU incorporates load management algorithm which is written in Python script.

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Selling the Smart Grid-Part 2: How Consumers Will Interact with the Smart Grid

Cited by 7 publications

References 2 publications

Toward a Secure and Resilient All-Renewable Energy Grid for Smart Cities

Toward a Secure and Resilient All-Renewable Energy Grid for Smart Cities

MAS-Based Distributed Coordinated Control and Optimization in Microgrid and Microgrid Clusters: A Comprehensive Overview

Smart Load Node for Nonsmart Load Under Smart Grid Paradigm: A New Home Energy Management System

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