Effect of electric vehicle parking lots equipped with roof mounted photovoltaic panels on the distribution network

Turan, Mehmet Tan; Ateş, Yavuz; Erdinç, Ozan; Gökalp, Erdin; Catalão, João P.S.

doi:10.1016/j.ijepes.2019.02.014

Cited by 58 publications

(15 citation statements)

References 24 publications

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“…The presence of three different peaks during the day will make necessary to drive the centralised generation towards future investments in more flexible plants with a short turn-on and turn-off time. The need to change the generation share capacity (from the point of view of the fuel source), the need to improve the transmission infrastructure to avoid congestion problems and the need to develop more interconnected communication systems will lead to a drastic change in the regulatory activities by AEMO, to new methods of remuneration by the utilities, to new business models and to new networks codes to maintain the security and reliability of the power system [24][25][26][27][28]. The EVs charge impact during the working hours is negligible as the report has modelled the EV charging phase to occur during the night as an adequate infrastructure for a future recharge in the work place is not yet planned.…”

Section: Scenario 2: High Penetration Of Pv + Bess + Evmentioning

confidence: 99%

“…Although photovoltaic systems and energy storage technologies for use in buildings and in industrial applications were intensively investigated mainly in terms of load management and peak shaving [19][20][21][22], the prediction of the impact of photovoltaic systems [22][23][24][25][26], energy storage technologies and EV interaction on centralised generation is somewhat less explored, due to their complexity involving many parameters and control strategies [27][28][29][30][31][32][33][34][35][36][37][38][39].…”

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confidence: 99%

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Numerical simulation analysis of the impact of photovoltaic systems and energy storage technologies on centralised generation: a case study for Australia

Brenna

Corradi

Foiadelli

et al. 2020

Int J Energy Environ Eng

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In response to climate change concerns, most of the industrialised countries have committed in recent years to increase their share of Renewable Energy Sources to reduce Greenhouse Gas emissions. Therefore, the rapid deployment of small-scale photovoltaic (PV) systems, mainly in residential applications, is starting to represent a considerable portion of the available electrical power generation and, for this reason, the stochastic and intermittent nature of these systems are affecting the operation of centralised generation (CG) resources. Network operators are constantly changing their approach to both short-term and long-term forecasting activities due to the higher complexity of the scenario in which more and more stakeholders have active roles in the network. An increasing number of customers must be treated as prosumers and no longer only as consumers. In this context, storage technologies are considered the suitable solution. These can be necessary in order to solve and fill the problems of the renewable distributed sources are introducing in the management of the network infrastructure. The aim of this work was to create a model in order to evaluate the impact of power generation considering PV systems in Australia along with a model to simulate Battery Energy Storage Systems (BESSs) and Electric Vehicles future contributions using MATLAB. The methodology used to develop these models was based on statistical assumptions concerning the available details about PV systems installed and current storage technologies. It has been shown that in all the scenarios analysed, the future adoption of rooftop PV panels and impact on the CG is incredibly higher than the uptake of energy storage systems. Hence, the influence on the demand will be driven by the behaviour of the PV systems. Only in the hypothetical scenario in which the installations of BESSs will assume comparable levels of the PV systems, it will be possible to better manage the centralised resources.

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Section: Scenario 2: High Penetration Of Pv + Bess + Evmentioning

confidence: 99%

mentioning

confidence: 99%

Numerical simulation analysis of the impact of photovoltaic systems and energy storage technologies on centralised generation: a case study for Australia

Brenna

Corradi

Foiadelli

et al. 2020

Int J Energy Environ Eng

View full text Add to dashboard Cite

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“…However, reactive power can be controlled by means of inverters [14]. Before designing of the PV system, solar radiationwith seasonal effects should be considered [15].…”

Section: Introductionmentioning

confidence: 99%

Impact of hybrid power generation on voltage, losses, and electricity cost in distribution networks

Ateş¹,

Gökçek²,

Arabul³

2021

Turkish Journal of Electrical Engineering and Computer Sciences

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“…In the last decade, the use of electric vehicles in the transportation industry has been widely welcomed in various countries. Electric vehicles can be used as controllable loads [1]. Electric vehicles can also be used as distributed generation (DG) units during peak load periods when electricity prices are high.…”

Section: Introductionmentioning

confidence: 99%

Sizing and Energy Management of Parking Lots of Electric Vehicles Based on Battery Storage with Wind Resources in Distribution Network

et al. 2021

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In this paper, an optimal sizing and placement framework (OSPF) is performed for electric parking lots integrated with wind turbines in a 33-bus distribution network. The total objective function is defined as minimizing the total cost including the cost of grid power, cost of power losses, cost of charge and discharge of parking lots, cost of wind turbines as well as voltage deviations reduction. In the OSPF, optimization variables are selected as electric parking size and wind turbines, which have been determined optimally using an intelligent method named arithmetic optimization algorithm (AOA) inspired by arithmetic operators in mathematics. The load following strategy (LFS) is used for energy management in the OSPF. The OSPF is evaluated in three cases of the objective function such as minimizing the cost of power losses, minimizing the network voltage deviations, and minimizing the total objective function using the AOA. The capability of the AOA is compared with the well-known particle swarm optimization (PSO) and artificial bee colony (ABC) algorithms for solving the OSPF in the last case. The findings show that the power loss, voltage deviations, and power purchased from the grid are reduced considerably based on the OSPF using the AOA. The results show the lowest total cost of energy and also minimum network voltage deviation (third case) by the AOA in comparison with the PSO and ABC with a higher convergence rate, which confirms the better capability of the proposed method. The results of the first and second cases show the high cost of power purchased from the main grid as well as the high total cost. Therefore, the comparison of different cases confirms that considering the cost index along with losses and voltage deviations causes a compromise between different objectives, and thus the cost of purchasing power from the main network is significantly reduced. Moreover, the voltage profile of the network improves, and also the minimum voltage of the network is also enhanced using the OSPF via the AOA.

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Effect of electric vehicle parking lots equipped with roof mounted photovoltaic panels on the distribution network

Cited by 58 publications

References 24 publications

Numerical simulation analysis of the impact of photovoltaic systems and energy storage technologies on centralised generation: a case study for Australia

Numerical simulation analysis of the impact of photovoltaic systems and energy storage technologies on centralised generation: a case study for Australia

Impact of hybrid power generation on voltage, losses, and electricity cost in distribution networks

Sizing and Energy Management of Parking Lots of Electric Vehicles Based on Battery Storage with Wind Resources in Distribution Network

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