Modelling probabilistic transmission expansion planning in the presence of plug‐in electric vehicles uncertainty by multi‐state Markov model

Jahromi, Saeed Naghdizadegan; Askarzadeh, Alireza; Abdollahi, Amir

doi:10.1049/iet-gtd.2016.1330

Cited by 27 publications

(7 citation statements)

References 22 publications

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“…Effective congestion management is shown to enhance the ability of the system to integrate renewable generation, thereby leading to lower system operation costs and greater environmental benefits. These benefits when compared to uncoordinated (dumb) charging technologies are far superior in economic value [41][42][43][44].…”

Section: Smart Grid Technologies For the Electrification Of The Trans...mentioning

confidence: 99%

Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids

et al. 2023

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The decarbonisation of the electricity grid is expected to create new electricity flows. As a result, it may require that network planners make a significant amount of investments in the electricity grids over the coming decades so as to allow the accommodation of these new flows in a way that both the thermal and voltage network constraints are respected. These investments may include a portfolio of infrastructure assets consisting of traditional technologies and smart grid technologies. One associated key challenge is the presence of uncertainty around the location, the timing, and the amount of new demand or generation connections. This uncertainty unavoidably introduces risk into the investment decision-making process as it may lead to inefficient investments and inevitably give rise to excessive investment costs. Smart grid technologies have properties that enable them to be regarded as investment options, which can allow network planners to hedge against the aforementioned uncertainty. This paper focuses on key smart technologies by providing a critical literature review and presenting the latest mathematical modelling that describes their operation.

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Section: Smart Grid Technologies For the Electrification Of The Trans...mentioning

confidence: 99%

Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids

et al. 2023

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“…A multistate Markov model is used to describe the uncertainty in the V2G process [55]. The models mentioned above can address the randomness of EVs [40][41][42], satisfy the demands of EV users [43][44][45], confirm the discharge power, and realize the allocation of CS capacity [46][47][48][49][50][51][52][53][54][55].…”

Section: V2gmentioning

confidence: 99%

“…Moreover, the effect of time-of-day EP on EV charging behaviour is described by the price elasticity matrix [60] to construct the discharging boundary model for EV aggregators. This research introduces the modelling approach for EV individuals [40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55] or aggregators [56][57][58][59][60], which provides the foundation for the application in V2G.…”

Section: V2gmentioning

confidence: 99%

“…The autoregressive moving average time series model [54] is used to predict the peak load demand and PV generation at CSs. A multistate Markov model is used to describe the uncertainty in the V2G process [55]. The models mentioned above can address the randomness of EVs [40][41][42], satisfy the demands of EV users [43][44][45], confirm the discharge power, and realize the allocation of CS capacity [46][47][48][49][50][51][52][53][54][55].…”

Section: V2gmentioning

confidence: 99%

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Vehicle to everything in the power grid (V2eG): A review on the participation of electric vehicles in power grid economic dispatch

Song

Chen

Yang

et al. 2022

Energy Conversion and Econom

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The increasing popularity of electric vehicles (EVs) and the enhanced energy storage capability of batteries have made EVs adjustable resources in economic dispatching for power grids. The guidance and control of discharging EVs have become issues with everincreasing concerns, and the EVs can be discharged to other entities in the grid, which is called vehicle to everything in the power grid (V2eG) technology. When V2eG technologies become widespread, EVs could be widely distributed, fully controllable, and marketable power sources. As ideal mobile power sources, EVs are geographically available all the time. In this paper, the application process of V2eG technology is first introduced, and the current research status of V2eG technology is discussed. The modelling technology involved in V2eG technology is next analysed and discussed in detail. Then, the applications of V2eG technology in economic dispatch are summarized. Furthermore, research on communication technology for V2eG technology is investigated. In addition, the policies and electricity market access criteria related to V2eG are discussed, and the corresponding trading mechanisms are analysed. Finally, the related V2eG technologies are summarized, and the future development direction of V2eG technology is prospected.

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“…In [25], a hardware‐based and real‐time simulation approach is introduced for special cooperation of renewable energy sources (RESs) in active distribution networks with a high concentration on the resiliency. On the other hands, some system variables have uncertainties that should be accurately modelled by an appropriate methodology such as the information gap decision theory [26], possibilistic [27], probabilistic [28] and hybrid probabilistic–possibilistic methods [29]. The mentioned matter is not concentrated in the most reviewed references.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic–proactive distribution network scheduling against a hurricane as a high impact–low probability event considering chaos theory

Nasri

Abdollahi

Rashidinejad

2020

IET Generation Trans & Dist

Self Cite

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High impact–low probability (HILP) incidents, such as hurricanes, usually and gravely damage electric distribution networks. A resilient distribution network must have an ability to recover itself with a fast restoration methodology against the effects of HILP events. Due to improve the electric distribution network resiliency against HILP incidents, this paper suggests a probabilistic–proactive distribution network operation model based upon the chaos theory (P‐PDNOMC(. Here, a resilience index based upon operational cost and load shedding cost is employed to decrease the effects of a hurricane as an HILP incident. P‐PDNOMC is formulated as a framework that consists of a novel hurricane modelling and operation scheduling in normal and emergency conditions with uncertainties considering. It should be noted that a prediction approach based on the chaos theory and the least‐squares support vector machine (LS‐SVM) is also designed to consider the provisional and spatial behaviour of the hurricane. Furthermore, this paper proposes a novel optimization framework for damaged lines determination based upon the P‐PDNOM C (DLsP‐PDNOM C) by considering multi‐zone and multi‐period damaged equipment budget constraints. Here, the load shedding cost is applied to present the efficiency of the proposed model. The numerical results indicate the resiliency enhancement of the electric distribution network in the face of HILP incidents.

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Modelling probabilistic transmission expansion planning in the presence of plug‐in electric vehicles uncertainty by multi‐state Markov model

Cited by 27 publications

References 22 publications

Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids

Modelling Smart Grid Technologies in Optimisation Problems for Electricity Grids

Vehicle to everything in the power grid (V2eG): A review on the participation of electric vehicles in power grid economic dispatch

Probabilistic–proactive distribution network scheduling against a hurricane as a high impact–low probability event considering chaos theory

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