Smart load management of plug-in electric vehicles in distribution and residential networks with charging stations for peak shaving and loss minimisation considering voltage regulation

Masoum, Amir S.; Deilami, Sara; Moses, Paul; Masoum, Mohammad A. S.; Abu-Siada, A.

doi:10.1049/iet-gtd.2010.0574

Cited by 383 publications

(257 citation statements)

References 9 publications

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“…From the upstream network perspective, minimizing peak loads can reduce power generation costs and carbon dioxide emissions [12]. The peak loads can be reduced either by unidirectional PEV charging management [12][13][14], or by discharging PEV batteries into the grid using V2G technology [5,6]. The former approach, also called the load-shifting strategy, is based on the idea of shifting peak loads to off-peak hours.…”

Section: Introductionmentioning

confidence: 99%

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

Erdoğan

Erden

Kisacikoglu

2018

J. Mod. Power Syst. Clean Energy

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This study focuses on the potential role of plugin electric vehicles (PEVs) as a distributed energy storage unit to provide peak demand minimization in power distribution systems. Vehicle-to-grid (V2G) power and currently available information transfer technology enables utility companies to use this stored energy. The V2G process is first formulated as an optimal control problem. Then, a two-stage V2G discharging control scheme is proposed. In the first stage, a desired level for peak shaving and duration for V2G service are determined off-line based on forecasted loading profile and PEV mobility model. In the second stage, the discharging rates of PEVs are dynamically adjusted in real time by considering the actual grid load and the characteristics of PEVs connected to the grid. The optimal and proposed V2G algorithms are tested using a real residential distribution transformer and PEV mobility data collected from field with different battery and charger ratings for heuristic user case scenarios. The peak shaving performance is assessed in terms of peak shaving index and peak load reduction. Proposed solution is shown to be competitive with the optimal solution while avoiding high computational loads. The impact of the V2G management strategy on the system loading at night is also analyzed by implementing an off-line charging scheduling algorithm.

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Section: Introductionmentioning

confidence: 99%

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

Erdoğan

Erden

Kisacikoglu

2018

J. Mod. Power Syst. Clean Energy

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“…In this section, to verify the validity of the proposed model, a popular smart grid strategy, which was considered in references [6], is re-analysed from the view points of the proposed model. To this end, the roles of each of the six layers are discovered sequentially and the general HCCL model is re-formulated in details.…”

Section: Model Verificationmentioning

confidence: 99%

“…Smart load management (SLM) is a smart grid strategy for controlling loads in an optimal manner with the objective of loss reduction used in [6] to coordinate Plug-in Electric Vehicle (PEV) charging from a limited perspective. Loss reduction as a smart grid objective has been only considered in [6] and other smart grid features such as uncertainty in loads and renewable generations are ignored, while the proposed model considers them simultaneously.…”

Section: Model Verificationmentioning

confidence: 99%

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A novel model for smart grid as a network of networks with hybrid composite cross layer description

Zendehdel

Yazdi

2015

Teh. vjesn.

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Inovativni model za automatiziranu energetsku mrežu kao spleta mreža s opisom hibridnog složenog poprečnog sloja A NOVEL MODEL FOR SMART GRID AS A NETWORK OF NETWORKS WITH HYBRID COMPOSITE CROSS LAYER DESCRIPTION Nadia Zendehdel, Rajab Asgharian Ghanad YazdiOriginal scientific paper This paper is an effort towards constructing a comprehensive model for the smart grid as a network of networks with the ability of evaluating events in presence of every smart grid feature. To this end, the network modelling laws are employed to attain a proper structure for the model, the automata theory is used to explain the performance of the proposed model, and the hybrid function theory is utilized to define an appropriate mathematical description for it. By evaluating the smart grid cooperative processes, and determining the role of special smart grid features in these processes, a six-layered hierarchical structure is chosen. Each layer of this structure is considered as an automaton and its autonomous performance is described by a hybrid function, mathematically. The composition of these six hybrid functions introduces the final formulation of the model. To verify the suitability of the proposed model the mechanism of the smart load management strategy is captured. Keywords: automaton; hybrid composite function; layered model; smart grid Inovativni model za automatiziranu energetsku mrežu kao spleta mreža s opisom hibridnog složenog poprečnog slojaIzvorni znanstveni članak Rad predstavlja pokušaj izrade prihvatljivog modela automatizirane energetske mreže kao spleta mreža s mogućnošću procjenjivanja događanja pri pojavi bilo kojeg obilježja te energetske mreže. U tu su svrhu primijenjeni zakoni za modeliranje mreže kako bi se postigla odgovarajuća struktura za model, korištena je teorija automata za objašnjenje rada predloženog modela, a za definiranje odgovarajućeg matematičkog opisa upotrebljena je teorija hibridne funkcije. Evaluiranjem kooperativnih procesa energetske mreže i određivanjem uloge specijalnih karakteristika mreže u tim procesima, izabrana je hijerarskijska struktura od šest slojeva. Svaki se sloj te strukture promatra kao automat i njegova se autonomna performansa opisuje hibridnom funkcijom, matematički. Sastav tih šest hibridnih funkcija uvodi u završnu formulaciju modela. Za provjeru prikladnosti predloženog modela primijenjen je mehanizam inteligentne strategije upravljanja opterećenjem.

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“…EVs are one of the storage system members, which are effective in DSM programs. They can be used in peak shaving [2] and minimizing the system's loss by controlling the charging and discharging processes [17]. The major problem with EVs is in their charging process.…”

Section: Introductionmentioning

confidence: 99%

A New Residential Load Management System in Presence of Variable Load and Market Price

Rahmani¹

2017

International Journal of Innovative Research in Electrical, Ele

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Abstract:Modern smart grids are a combination of advanced structures to make the energy supply to the costumers more reliable and flexible. Variable pricing can affect this process and usage of the smart home appliances. The storage systems in variable pricing environment can help the customers to take advantage of varying in tariffs to optimize their incomes and outcomes. The basic structure of using distributed storage systems in a single home can be modified to optimize its benefits. In this paper, a comparison between the old configuration of smart homes having storage systems and a modified storage structure is done. First, load commitment problem for different users is being performed. Afterwards, the storage system has been condensed for the user to show the effectiveness of the proposed method. At the end, to compensate the additional costs to the customer, the pretending acting method is introduced.

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Smart load management of plug-in electric vehicles in distribution and residential networks with charging stations for peak shaving and loss minimisation considering voltage regulation

Cited by 383 publications

References 9 publications

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

A fast and efficient coordinated vehicle-to-grid discharging control scheme for peak shaving in power distribution system

A novel model for smart grid as a network of networks with hybrid composite cross layer description

A New Residential Load Management System in Presence of Variable Load and Market Price

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