A Distributed Algorithm for Managing Residential Demand Response in Smart Grids

Safdarian, Amir; Fotuhi‐Firuzabad, Mahmud; Lehtonen, Matti

doi:10.1109/tii.2014.2316639

Cited by 209 publications

(114 citation statements)

References 25 publications

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“…Since the price of each time period is independent from customers' behavior and each customer decides individually, it is possible that all customers may decide to simultaneously use power during the same off-peak period and, consequently, a new "rebound" peak may occur [76,77]. In order to mitigate this problem, the customer participation methods real-time pricing (RTP) and day-ahead RTP (DA-RTP) are proposed.…”

Section: Time-based Programsmentioning

confidence: 99%

“…In order to prevent the rebound peak, a central algorithm is used in [76]. This algorithm changes the load profile to minimize the energy bill of each customer.…”

Section: Technical Constraints (D4)mentioning

confidence: 99%

“…However, this method cannot guarantee an optimized solution, nor does it consider power constraints. As observed from [76], another limitation of existing research in DSM is that most of them do not consider the power system limits such as the maximum capacity of distribution lines, power stability, power losses, and so on. For example, a game-theoretic real-time price market is proposed in [65] to maximize the profit of each participant and uses a dual decomposition technique to solve this problem in a decentralized manner.…”

Section: Technical Constraints (D4)mentioning

confidence: 99%

See 2 more Smart Citations

Electrical Market Management Considering Power System Constraints in Smart Distribution Grids

Divshali

Choi

2016

Energies

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Rising demand, climate change, growing fuel costs, outdated power system infrastructures, and new power generation technologies have made renewable distribution generators very attractive in recent years. Because of the increasing penetration level of renewable energy sources in addition to the growth of new electrical demand sectors, such as electrical vehicles, the power system may face serious problems and challenges in the near future. A revolutionary new power grid system, called smart grid, has been developed as a solution to these problems. The smart grid, equipped with modern communication and computation infrastructures, can coordinate different parts of the power system to enhance energy efficiency, reliability, and quality, while decreasing the energy cost. Since conventional distribution networks lack smart infrastructures, much research has been recently done in the distribution part of the smart grid, called smart distribution grid (SDG). This paper surveys contemporary literature in SDG from the perspective of the electricity market in addition to power system considerations. For this purpose, this paper reviews current demand side management methods, supply side management methods, and electrical vehicle charging and discharging techniques in SDG and also discusses their drawbacks. We also present future research directions to tackle new and existing challenges in the SDG.

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Section: Time-based Programsmentioning

confidence: 99%

“…In order to prevent the rebound peak, a central algorithm is used in [76]. This algorithm changes the load profile to minimize the energy bill of each customer.…”

Section: Technical Constraints (D4)mentioning

confidence: 99%

Section: Technical Constraints (D4)mentioning

confidence: 99%

See 1 more Smart Citation

Electrical Market Management Considering Power System Constraints in Smart Distribution Grids

Divshali

Choi

2016

Energies

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show abstract

“…However, since the price during each time interval is independent of the real-time behavior of customers and each customer can decide individually, it is possible that many customers decide to use electricity during off-peak hours simultaneously. This can cause an undesirable new (rebound) peak [8,9]. In order to prevent this problem, retailers must determine the price of each time interval based on the real-time consumption.…”

Section: Introductionmentioning

confidence: 99%

“…Although in indirect methods implementing, considering the effects of other customers' decision is crucial. For instance, in a real system, since all customers want to optimize their own cost, they may make similar decisions, simultaneously and/or collectively, to produce a major impact on the power system known as an avalanche effect [19] or a rebound peak [8,9].…”

Section: Introductionmentioning

confidence: 99%

Transactive Demand Side Management Programs in Smart Grids with High Penetration of EVs

et al. 2017

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Due to environmental concerns, economic issues, and emerging new loads, such as electrical vehicles (EVs), the importance of demand side management (DSM) programs has increased in recent years. DSM programs using a dynamic real-time pricing (RTP) method can help to adaptively control the electricity consumption. However, the existing RTP methods, particularly when they consider the EVs and the power system constraints, have many limitations, such as computational complexity and the need for centralized control. Therefore, a new transactive DSM program is proposed in this paper using an imperfect competition model with high EV penetration levels. In particular, a heuristic two-stage iterative method, considering the influence of decisions made independently by customers to minimize their own costs, is developed to find the market equilibrium quickly in a distributed manner. Simulations in the IEEE 37-bus system with 1141 customers and 670 EVs are performed to demonstrate the effectiveness of the proposed method. The results show that the proposed method can better manage the EVs and elastic appliances than the existing methods in terms of power constraints and cost. Also, the proposed method can solve the optimization problem quick enough to run in real-time.

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A review on real‐time simulation and analysis methods of microgrids

Ahmadiahangar

Rosin

Niaki

et al. 2019

Int Trans Electr Energ Syst

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Summary Microgrid is a recently developed concept for future power systems. The main characteristics of the microgrid are the capability of integration of renewable energy sources and the ability to operate in two grid‐connected and islanded modes. A significant challenge of microgrid implementation is developing comprehensive control methods to ensure efficient, stable, and reliable operation. Real‐time studies are a promising approach in this case. In this paper, various real‐time energy management approaches have been thoroughly explained following a new categorization of them. A significant literature review of real‐time simulation and modeling methods has also been presented. A review of different applications of hardware‐in‐the‐loop testing of the microgrid is included in the present study. Finally, a discussion on demand for further research has been made. The presented work is organized to allow a reader to understand the importance of real‐time studies of microgrids and highlight trends in literary works without delving deeply into each one.

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A Distributed Algorithm for Managing Residential Demand Response in Smart Grids

Cited by 209 publications

References 25 publications

Electrical Market Management Considering Power System Constraints in Smart Distribution Grids

Electrical Market Management Considering Power System Constraints in Smart Distribution Grids

Transactive Demand Side Management Programs in Smart Grids with High Penetration of EVs

A review on real‐time simulation and analysis methods of microgrids

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