Exploring prospective benefits of electric vehicles for optimal energy conditioning in distribution networks

Pirouzi, Sasan; Aghaei, Jamshid; Niknam, Taher; Farahmand, Hossein; Korpås, Magnus

doi:10.1016/j.energy.2018.05.195

Cited by 43 publications

(58 citation statements)

References 48 publications

(69 reference statements)

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“…Research has shown for instance that electric mobility can lead to more resilient cities (Comodi et al 2016) or reduce negative externalities such as pollution (Noel et al 2018). When connected to the grid, electric vehicles can enhance the efficiency of distribution networks (Pirouzi et al 2018), contribute positively to grid stabilization (Nunes and Brito 2017), and act as decentralized modes of energy storage (Weiller and Neely 2014). Electric vehicles can lastly become key components of 100% "smart" or "clean" renewable energy systems (Mathiesen et al 2015;Connolly et al 2014;Mathiesen et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Reviewing Nordic transport challenges and climate policy priorities: Expert perceptions of decarbonisation in Denmark, Finland, Iceland, Norway, Sweden

Sovacool

Noel

Kester

et al. 2018

Energy

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The five Nordic countries of Denmark, Finland, Iceland, Norway and Sweden have aggressive climate and energy policies in place and are largely on track in their decarbonisation of electricity, heat, and buildings. Transportation and mobility, however, remains a pressing challenge. This study asks: what are the greatest national and regional transport challenges facing Nordic countries? To provide an answer, the authors conducted 227 semi-structured interviews with participants from 201 institutions across seventeen cities within the Nordic region. Those interviewed represent a diverse array of stakeholders involved with transport technology, policy and practice. Although respondents identified 44 distinct transport challenges, the fossil fuel intensity of transport was by far the most frequently mentioned by than two-fifths (42%) of the expert sample. Five other challenges were also mentioned the most frequently by respondents: long travel distances (17%), the state of public transport infrastructure (16%), congestion (15%), population density (10%), and electrification of transport (10%). Interestingly, items such as costs and affordability, energy or transport efficiency, consumer knowledge and awareness, and automobile accidents were mentioned by only 3% (or less). The article concludes by what this heterogeneity and prioritization of challenges means for future Nordic research and policy.

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Section: Introductionmentioning

confidence: 99%

Reviewing Nordic transport challenges and climate policy priorities: Expert perceptions of decarbonisation in Denmark, Finland, Iceland, Norway, Sweden

Sovacool

Noel

Kester

et al. 2018

Energy

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show abstract

“…The proposed PMS strategy modelled by (1)-(37) includes a non-convex NLP model due to non-linear equations of VDF, i.e. (4), (5), (10), (11), (14), (17), (22), (25), (28), (31), and (36), and the non-convex equations of (4) and (5) [25]. Hence, this model may obtain locally optimal solutions, which needs high computational time arising from non-convex constraints and numerical solving methods such as the Newton-Raphson approach [25].…”

Section: Linearization Of Proposed Pms Strategymentioning

confidence: 99%

Bi‐level power management strategy in harmonic‐polluted active distribution network including virtual power plants

Rohani

Abasi

Beigzadeh

et al. 2021

IET Renewable Power Gen

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In this paper, a bi‐level power management strategy is presented for an active distribution network (ADN) in the presence of virtual power plant (VPP). In the proposed strategy, VPP contains renewable energy source (RES), energy storage system (ESS) and electric vehicles (EVs) parking lot coordinated with VPP operator (VPPO), and there is a coordinated framework between VPPO and distribution system operator. The proposed power management strategy (PMS) is considered in the context of the bi‐level optimization problem. In the first level, the optimal harmonic power flow formulation of the ADN is considered by minimizing the summation of energy cost, voltage deviation function and voltage THD% as a normalized objective function. In the second level, the VPP is modeled according to the framework of day‐ahead energy and ancillary services markets. In the next step, the linear format of the proposed non‐linear original problem is obtained with an optimal solution and low calculation burden. Also, the Karush‐Kuhn‐Tucker condition is used to convert the proposed bi‐level PMS approach to a single‐level model, and the scenariobased stochastic programming models the uncertainty of load, energy price, RES power, and EVs demand. Finally, the proposed strategy is applied on the 33‐bus distribution network using GAMS software.

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“…The proposed planning tool in (1)-(31) is an MINLP optimisation problem due to including both discrete and continuous decision variables as well as non-linear and non-convex constraints in (7)-(9) [29][30][31]. Accordingly, the proposed non-linear and non-convex optimisation problem demands a considerable time to find a solution without guaranteeing its global optimality.…”

Section: Linear Coordinated Planning Modelmentioning

confidence: 99%

Flexible, reliable, and renewable power system resource expansion planning considering energy storage systems and demand response programs

Hamidpour¹,

Aghaei²,

Pirouzi

et al. 2019

IET Renewable Power Generation

Self Cite

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This study presents a flexible, reliable, and renewable power system resource planning approach to coordinate generation, transmission, and energy storage (ES) expansion planning in the presence of demand response (DR). The flexibility and reliability of the optimal resource expansion planning are ensured by means of appropriate constraints incorporated into the proposed planning tool where thermal generation units, ES systems, and DR programs are considered as flexibility resources. The proposed planning tool is a mixed-integer non-linear programming (MINLP) problem due to the non-linear and non-convex constraints of AC power flow equations. Accordingly, to linearise the proposed MINLP problem, the AC nodal power balance constraints are linearised by means of the first-order expansion of Taylor's series and the line flow equations are linearised by means of a polygon. Additionally, the stochastic programming is used to characterise the uncertainty of loads, a maximum available power of wind farms, forecasted energy price, and availability/unavailability of generation units and transmission lines by means of a sufficient number of scenarios. The proposed planning tool is implemented on the IEEE 6-bus and the IEEE 30bus test systems under different conditions. Case studies illustrate the effectiveness of the proposed approach based on both flexibility and reliability criteria.

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Exploring prospective benefits of electric vehicles for optimal energy conditioning in distribution networks

Cited by 43 publications

References 48 publications

Reviewing Nordic transport challenges and climate policy priorities: Expert perceptions of decarbonisation in Denmark, Finland, Iceland, Norway, Sweden

Reviewing Nordic transport challenges and climate policy priorities: Expert perceptions of decarbonisation in Denmark, Finland, Iceland, Norway, Sweden

Bi‐level power management strategy in harmonic‐polluted active distribution network including virtual power plants

Flexible, reliable, and renewable power system resource expansion planning considering energy storage systems and demand response programs

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