A Water-Filling Based Scheduling Algorithm for the Smart Grid

Shinwari, Merwais; Youssef, Amr M.; Hamouda, Walaa

doi:10.1109/tsg.2011.2177103

Cited by 90 publications

(62 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the smart grid context, Shinwari et al (2012) propose transmitting operation probabilities for shiftable loads to local control agents. The probabilities for starting shiftable loads are high in hours with low non-shiftable load in the system.…”

Section: Randomized Load Controlmentioning

confidence: 99%

Price-based load coordination revisited: augmenting open-loop coordination approaches

Flath

Gottwalt

2016

Bus Res

View full text Add to dashboard Cite

The activation of flexible loads through demand side management offers opportunities for more efficient power systems operations. Price-based incentive are a straight-forward form for decentral coordination of these flexible loads. However, their applicability has recently been seen more pessimistic as they may induce new load peaks due to herding effects. We revisit these results by characterizing desynchronized posted pricing approaches. Illustrating highly flexible load by means of electric vehicle charging, we show that these desynchronized rate can mitigate the occurrence of extreme load spikes, improve the utilization of renewable generation and in summary create significant system cost savings. Our results show that simple open-loop pricing can almost match the efficiency of closed-loop adaptive pricing in settings with limited system flexibility. We find that the more renewable generation and flexible load are present in the system, the better more complex pricing schemes fare compared to simple ones. This insight may guide regulators and utilities in establishing more effective pricing schemes in retail electricity markets.

show abstract

Section: Randomized Load Controlmentioning

confidence: 99%

Price-based load coordination revisited: augmenting open-loop coordination approaches

Flath

Gottwalt

2016

Bus Res

View full text Add to dashboard Cite

show abstract

“…However, most of them do not consider fairness among customers. To the best of our knowledge, the only work that discussed fairness is [8], [9], [10] and [11].…”

Section: Related Workmentioning

confidence: 99%

Fairness-Aware Game Theoretic Approach for Demand Response in Microgrids

Yaagoubi

Mouftah

2015

2015 Seventh Annual IEEE Green Technologies Conference

View full text Add to dashboard Cite

Demand response programs are implemented by the utilities to manage the energy consumption at consumer side. Demands are managed in response to supply conditions as opposed to the traditional grid. The existing programs focus mainly on achieving system objectives such as minimizing peaks and reducing the cost of power generation. Consequently, users' electrical bills will be reduced but the question of fairness has barely been discussed in the literature. In this paper, the issue of fairness within demand response programs is addressed. In this context, a fair pricing model based on the contribution of each user toward attaining the aggregated system cost is proposed. In addition, the proposed system considers a more realistic scenario that consists of multiple energy sources within a microgrid as opposed to existing ones that use only one shared energy source. We first employ the concept of Shapley value in the pricing model to evaluate the fairness of existing works. Then, we use an approximation of this value to drive our proposed demand response program. Finally, we evaluate the use of the approximate Shapley within our proposed demand response algorithm and compare it to existing works.

show abstract

“…In [21] the authors use convex optimization tools and solve a cooperative scheduling problem in a smart grid. The authors in [22] used a water-filling based scheduling algorithm to obtain a flat demand curve. The proposed algorithm does not require any communication between scheduling nodes.…”

Section: State Of the Artmentioning

confidence: 99%

Impact of Scheduling Flexibility on Demand Profile Flatness and User Inconvenience in Residential Smart Grid System

et al. 2013

View full text Add to dashboard Cite

The objective of this paper is to study the impact of scheduling flexibility on both demand profile flatness and user inconvenience in residential smart grid systems. Temporal variations in energy consumption by end users result in peaks and troughs in the aggregated demand profile. In a residential smart grid, some of these peaks and troughs can be eliminated through appropriate load balancing algorithms. However, load balancing requires user participation by allowing the grid to re-schedule some of their loads. In general, more scheduling flexibility can result in more demand profile flatness, however the resulting inconvenience to users would also increase. In this paper, our objective is to help the grid determine an appropriate amount of scheduling flexibility that it should demand from users, based on which, proper incentives can be designed. We consider three different types of scheduling flexibility (delay, advance scheduling and flexible re-scheduling) in flexible loads and develop both optimal and sub-optimal scheduling algorithms. We discuss their implementation in centralized and distributed manners. We also identify the existence of a saturation point. Beyond this saturation point, any increase in scheduling flexibility does not significantly affect the flatness of the demand profile while user inconvenience continues to increase. Moreover, full participation of all the households is not required since increasing user participation only marginally increases demand profile flatness.

show abstract

A Water-Filling Based Scheduling Algorithm for the Smart Grid

Cited by 90 publications

References 11 publications

Price-based load coordination revisited: augmenting open-loop coordination approaches

Price-based load coordination revisited: augmenting open-loop coordination approaches

Fairness-Aware Game Theoretic Approach for Demand Response in Microgrids

Impact of Scheduling Flexibility on Demand Profile Flatness and User Inconvenience in Residential Smart Grid System

Contact Info

Product

Resources

About