Exploring human factors effects in the Smart Grid system of systems Demand Response

Miller, Michael Z.; Griendling, Kelly; Mavris, Dimitri N.

doi:10.1109/sysose.2012.6384176

Cited by 15 publications

(8 citation statements)

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“…Users' habits play a key role related to energy use [115,116]. Other studies [34,111,117] pointed out that users can efficiently operate in a real-time frame to optimally control all major residential energy loads, storage and production components while properly considering the customers' preferences and comfort level. The main objective functions for the operation of each household appliance are electricity payment minimization [22].…”

Section: Challenges Benefits and Motivations Related To The Usersmentioning

confidence: 99%

A Review of Systems and Technologies for Smart Homes and Smart Grids

2016

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In the actual era of smart homes and smart grids, advanced technological systems that allow the automation of domestic tasks are developing rapidly. There are numerous technologies and applications that can be installed in smart homes today. They enable communication between home appliances and users, and enhance home appliances' automation, monitoring and remote control capabilities. This review article, by introducing the concept of the smart home and the advent of the smart grid, investigates technologies for smart homes. The technical descriptions of the systems are presented and point out advantages and disadvantages of each technology and product today available on the market. Barriers, challenges, benefits and future trends regarding the technologies and the role of users have also been discussed.

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Section: Challenges Benefits and Motivations Related To The Usersmentioning

confidence: 99%

A Review of Systems and Technologies for Smart Homes and Smart Grids

2016

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“…Challenges relating to load forecast and DR are discussed in [3]. Reference [4] shows that the unpredictable human factors can have significant influences on DR system's performance. Existing DR systems are designed with deterministic or stochastic algorithms in centralized or decentralized ways.…”

Section: A Related Workmentioning

confidence: 99%

Smart Home in Smart Microgrid: A Cost-Effective Energy Ecosystem With Intelligent Hierarchical Agents

Jiang

Fei

2015

IEEE Trans. Smart Grid

135

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Smart grid is advancing power grids significantly, with higher power generation efficiency, lower energy consumption cost, and better user experience. Microgrid utilizes distributed renewable energy generation to reduce the burden on utility grids. This paper proposes an energy ecosystem; a costeffective smart microgrid based on intelligent hierarchical agents with dynamic demand response (DR) and distributed energy resource (DER) management. With a dynamic update mechanism, DR automatically adapts to users' preference and varying external information. The DER management coordinates operations of micro combined heat and power systems (µCHPs), and vanadium redox battery (VRB) according to DR decisions. A twolevel shared cost-led µCHPs management strategy is proposed to reduce energy consumption cost further. VRB discharging is managed to be environment-adaptive. Simulations and numerical results show the proposed system is very effective in reducing the energy consumption cost while satisfying user's preference. Index Terms-Demand response (DR), distributed energy resources (DER), microgrid, particle swarm optimization (PSO), Q-learning, smart grid. I. INTRODUCTIONW ITH MORE electricity-consuming products coming into daily lives, such as electrical vehicles (EVs) and advanced heating, ventilation, and air conditioning systems, load demand increases dramatically and imposes significant burdens on the existing power grid. Smart grid, integrated with distributed renewable energy generation, advanced metering infrastructure, and information technologies, can cope with the impending global energy crisis and environment deterioration. To achieve high energy efficiency in smart grid, load can be shaved by demand response (DR) and distributed energy resources (DER) have to be well managed. Residential DR can be defined as reactions of users to the time-varying energy price offered by utility companies [1], where schedulable load is shifted to off-peak hours to reduce the energy consumption cost. On the other hand, DERs, including distributed generation (DG) and energy storage system, can be Manuscript

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“…The global trend of development of Smart Systems, which have been around for over last 10 years, was to become a gulp of fresh air at the verge of the transition from power efficiency to power saving [1]. The intention to "teach" the refrigerator to "go" to the store, to order and buy food, to control its quality, to receive information from the supermarket about the availability of food, to communicate with the service center in case of malfunction, to monitor, calculate, and pay the cost of consumed electricity ('smart' tariffs), to recommend meals to eat, to be the third person when communicating with family members, to warm water for washing etc., is not a new one and is intended to further release of the person from the need to make decisions and perform simple everyday routine work.…”

Section: Introductionmentioning

confidence: 99%

Smart Refrigerators in Return for Energy Efficiency

Baidak¹,

Vereitina²

2018

RET

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One of the aspects of the global trend in the development of Smart systems is considered in the paper, namely those solutions of the leading manufacturers of electrical household appliances that relate to the implementation of additional intelligent functions to devices in demand by the society - Smart Diagnosis, Smart Grid-ready, Smart Manager, Smart Access, Smart Adapt. It is emphasized that some tasks related to the energy efficiency of devices, the accuracy of testing tools, which should be used as a basis for the Smart System, remained unresolved. So, the built-in additional sensors and chips of "smart" subsystems require the application of additional measures aimed at reducing the power consumption of the device (preferably twice to restore the balance). On the example of the developed innovative electric motor of domestic refrigerator hermetic compressor drive, the existence of the possibilities for a significant increase in its efficiency has been proved. Since intellectual features of Smart System in its Smart Diagnosis dialog box should be based on monitoring data on power efficiency parameters of the device, a new concept for the development of an electric energy counter is proposed.

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Exploring human factors effects in the Smart Grid system of systems Demand Response

Cited by 15 publications

References 1 publication

A Review of Systems and Technologies for Smart Homes and Smart Grids

A Review of Systems and Technologies for Smart Homes and Smart Grids

Smart Home in Smart Microgrid: A Cost-Effective Energy Ecosystem With Intelligent Hierarchical Agents

Smart Refrigerators in Return for Energy Efficiency

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