Coordinated Operation of a Neighborhood of Smart Households Comprising Electric Vehicles, Energy Storage and Distributed Generation

Paterakis, Nikolaos G.; Erdinç, Ozan; Pappi, Iliana N.; Bakirtzis, Anastasios G.; Catalào, João P. S.

doi:10.1109/tsg.2015.2512501

Cited by 193 publications

(104 citation statements)

References 29 publications

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“…-- [14], [76], [77], [78], [79], [80], [81], [82], [83] Decentralized Fully-depend. [66], [84], [85], [86], [87], [88], [89] Fully-independ.…”

Section: Centralizedmentioning

confidence: 99%

“…Several other studies using centralized coordination focus on specific aspects. For example, in [81], authors propose an algorithm capable of allocating a fair share of distribution transformer capacity among users. In [82], a centralized and a decentralized approach are compared in terms of optimization performance and computation time for the energy trading problem among smart homes.…”

Section: Centralized Coordinationmentioning

confidence: 99%

See 1 more Smart Citation

Electric energy management in residential areas through coordination of multiple smart homes

Celik

Roche

Suryanarayanan

et al. 2017

Renewable and Sustainable Energy Reviews

106

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Grid modernization through philosophies such as the Smart Grid has the potential to meet increasing demand and integrate new distributed generation resources at the same time. Using advanced communication and computing capabilities, the Smart Grid offers a new avenue of controlling end-user assets, including small units such as home appliances. To enable such evolution, shifting from centralized to decentralized control strategies is required. Effective demand-side management (DSM) and demand response (DR) approaches hold the promise for efficient energy management in homes and neighborhood areas, by enabling the precise control of resources to reduce net demand. However, with such strategies, independently taken decisions can cause undesired effects such as rebound peaks, contingencies, and instabilities in the network. Therefore, the interactions between the energy management actions of multiple households is a challenging issue in the Smart Grid. This paper provides a review of the background of residential load modeling with DR and DSM approaches in a single household and concepts of coordinating mechanisms in a neighborhood area. The objective of this paper is to classify, via comparison, the various coordination structures and techniques from recent research. The results of recent research in the field reveal that the coordination of energy management in multiple households can benefit both the utility (i.e., the service provider) and the customer. The paper concludes with a discussion on the prevalent critical issues in this area.

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“…-- [14], [76], [77], [78], [79], [80], [81], [82], [83] Decentralized Fully-depend. [66], [84], [85], [86], [87], [88], [89] Fully-independ.…”

Section: Centralizedmentioning

confidence: 99%

Section: Centralized Coordinationmentioning

confidence: 99%

Electric energy management in residential areas through coordination of multiple smart homes

Celik

Roche

Suryanarayanan

et al. 2017

Renewable and Sustainable Energy Reviews

106

View full text Add to dashboard Cite

show abstract

“…The same method is also applied in [10], however, the operation of PVs, ESS and EVs is neglected in that model, as well as the utilization of the DC bus. The DC bus feature is an additional advantage of the proposed approach, which is introduced in order to overcome the limitation of a single distribution transformer, as it is considered in the studies in [6]- [8] and [10]; therefore, the proposed ap-proach can be applied to in cases where buildings are connected to different distribution transformers.…”

Section: Related Workmentioning

confidence: 99%

“…According to (6), the ESS' discharging power , t)). The parameters n c,ESS and n d,ESS define the ESS' charging and discharging efficiency, respectively.…”

Section: Ess Operationmentioning

confidence: 99%

Cooperation in microgrids through power exchange: An optimal sizing and operation approach

Zenginis

Vardakas

Echave³

et al. 2017

Applied Energy

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This paper proposes a novel model for the optimal design and power management of a microgrid. The key objective of the proposed model is to indicate the benefits of cooperation in terms of energy cost savings, carbon emission reduction and provision of energy self-sufficiency. The proposed cooperative configuration considers that buildings with different load patterns exchange power through a common DC bus , so that that an optimum utilization of the energy generated by local renewables is achieved. The problem of selecting the optimal capacities of photovoltaic arrays, energy storage systems and inverters, as well as of determining the optimal daily power operation plan is formulated as a mixed integer linear programming problem, where the objective function is optimized based on the Nash bargain method.. The impact of the daily scheduling of the energy storage systems and electric vehicles, as well as the impact of power exchanges on the equipment * Corresponding author Keywords: smart cities, microgrid, cooperative system, renewable energy sources, optimization.

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“…The impact of integrated EV as V2H is proposed in Naghibi et al to design optimal size of renewable energy sources for smart home environment. Shifting the energy consumption profile according to the electricity price is proposed in Paterakis et al to reduce energy bills and lowering transformer loading. EV is utilised in reducing peak load demand throughout peak pricing period to minimise electricity purchasing costs of consumers .…”

Section: Introductionmentioning

confidence: 99%

A price-regulated electric vehicle charge-discharge strategy for G2V, V2H, and V2G

et al. 2018

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Summary Electric vehicles (EVs) and smart grids are gradually revolutionising the transportation sector and electricity sector respectively. In contrast to unplanned charging/discharging, smart use of EV in home energy management system (HEMS) can ensure economic benefit to the EV owner. Therefore, this paper has proposed a new energy pricing controlled EV charging/discharging strategy in HEMS to acquire maximum financial benefit. EV is scheduled to be charged/discharged according to the price of electricity during peak and off‐peak hours. In addition, two different types of EV operation modes, ie, grid‐to‐vehicle (G2V) in off‐peak time and vehicle‐to‐home (V2H) in on‐peak time are considered to determine comparative economic benefit of planned EV charging/discharging. The real load profile of a house in Melbourne and associated electricity pricing is selected for the case study to determine the economic gain. The simulation results illustrate that EV participating in V2H contributes approximately 11.6% reduction in monthly electricity costs compared with G2V operation mode. Although the facility of selling EV energy to the grid is not available currently, the pricing controlled EV charging/discharging presented in the paper can be used if such facility becomes available in the future.

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Coordinated Operation of a Neighborhood of Smart Households Comprising Electric Vehicles, Energy Storage and Distributed Generation

Cited by 193 publications

References 29 publications

Electric energy management in residential areas through coordination of multiple smart homes

Electric energy management in residential areas through coordination of multiple smart homes

Cooperation in microgrids through power exchange: An optimal sizing and operation approach

A price-regulated electric vehicle charge-discharge strategy for G2V, V2H, and V2G

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