Home demand side management integrated with electric vehicles and renewable energy sources

Mesarić, Petra; Krajcar, Slavko

doi:10.1016/j.enbuild.2015.09.001

Cited by 165 publications

(75 citation statements)

References 12 publications

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“…Getting important opportunities for consumers means also a certain level of responsibility [3,4,5,6]. Therefore, it is obvious that power grids (power supply networks) become intelligent not so much due to the technical equipment, as due to a man and his willingness to organize his behavior accordingly (so that the society could only benefit from it).…”

Section: Resultsmentioning

confidence: 99%

Status of Social Competencies of Power Engineers in the Context of Forming the Concept of an Intelligent Network or Smart Grid

Ardashkin

Korobeynikova

Popova

2015

MATEC Web of Conferences

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Abstract. The article reviews the trends which define development of power engineering in the world and in Russia. The authors emphasize that establishment of smart grids is the consequence of not only technological but also social transformations of a modern society. The authors sum up that social competencies are an integral part of professional skills of engineers who work in the field of power engineering. The authors make a hypothesis that the major (educational module) "Energy consultant for the population" might develop social competencies.

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Section: Resultsmentioning

confidence: 99%

Status of Social Competencies of Power Engineers in the Context of Forming the Concept of an Intelligent Network or Smart Grid

Ardashkin

Korobeynikova

Popova

2015

MATEC Web of Conferences

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“…For each zip code, the diffusion curves have similar shapes as those shown in Figure 6, but with much smaller magnitudes. The average electricity consumption by each EV is approximately 1.5 MWh per year [48]. Thereby, by multiplying this value by the number of EVs, the estimated energy consumption by EVs is calculated.…”

Section: Resultsmentioning

confidence: 99%

An Agent-Based Model for Zip-Code Level Diffusion of Electric Vehicles and Electricity Consumption in New York City

Ahkamiraad¹,

Wang²

2018

Energies

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Current power grids in many countries are not fully prepared for high electric vehicle (EV) penetration, and there is evidence that the construction of additional grid capacity is constantly outpaced by EV diffusion. If this situation continues, then it will compromise grid reliability and cause problems such as system overload, voltage and frequency fluctuations, and power losses. This is especially true for densely populated areas where the grid capacity is already strained with existing old infrastructure. The objective of this research is to identify the zip-code level electricity consumption that is associated with large-scale EV adoption in New York City, one of the most densely populated areas in the United States (U.S.). We fuse the Fisher and Pry diffusion model and Rogers model within the agent-based simulation to forecast zip-code level EV diffusion and the required energy capacity to satisfy the charging demand. The research outcomes will assist policy makers and grid operators in making better planning decisions on the locations and timing of investments during the transition to smarter grids and greener transportation.

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“…An example of a non-interruptible device is washing machines. A washing machine is also non-power-shiftable because its power consumption cannot be arbitrarily adjusted and must be strictly followed [13]. Although this paper focuses on the scheduling of non-interruptible appliances, the proposed model and algorithms can be easily extended to handle interruptible appliances, as well.…”

Section: Introductionmentioning

confidence: 99%

An Algorithmic Game Approach for Demand Side Management in Smart Grid with Distributed Renewable Power Generation and Storage

Liu

2016

Energies

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Abstract:In this paper, the problem of minimizing electricity cost and the peak system load in smart grids with distributed renewable energy resources is studied. Unlike prior research works that either assume all of the jobs are interruptible or power-shiftable, this paper focuses on more challenging scenarios in which jobs are non-interruptible and non-power-shiftable. In addition, as more and more newly-built homes have rooftop solar arrays, it is assumed that all users are equipped with a solar-plus-battery system in this paper. Thus, power can be drawn from the battery as needed to reduce the cost of electricity or to lower the overall system load. With a quadratic load-dependent cost function, this paper first shows that the electricity cost minimization problem in such a setting is NP-hard and presents a distributed demand-side management algorithm, called DDSM, to solve this. Experimental results show that the proposed DDSM algorithm is effective, scalable and converges to a Nash equilibrium in finite rounds.

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Home demand side management integrated with electric vehicles and renewable energy sources

Cited by 165 publications

References 12 publications

Status of Social Competencies of Power Engineers in the Context of Forming the Concept of an Intelligent Network or Smart Grid

Status of Social Competencies of Power Engineers in the Context of Forming the Concept of an Intelligent Network or Smart Grid

An Agent-Based Model for Zip-Code Level Diffusion of Electric Vehicles and Electricity Consumption in New York City

An Algorithmic Game Approach for Demand Side Management in Smart Grid with Distributed Renewable Power Generation and Storage

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