A Smart Grid Modelling Tool for Evaluating Optimal Control of Electric Vehicles

Nicoli, Manuel; Das, Ridoy; Wang, Yue; Putrus, Ghanim; Turri, Roberto; Kötter, Richard

doi:10.1109/upec.2018.8541956

Cited by 4 publications

(8 citation statements)

References 12 publications

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“…In fact, EVs can be used as storage solutions for households and the distribution network [52]. Studies, such as [53] and [54], have demonstrated improvement in grid operation via Vehicle-to-Grid (V2G). To this end, the framework developed in the present work is extended to include V2G by modelling as mobile energy storage.…”

Section: Discussion On Integration With Electric Vehiclesmentioning

confidence: 99%

Micro market based optimisation framework for decentralised management of distributed flexibility assets

Paladin

Das²,

Wang³

et al. 2021

Renewable Energy

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Continuously changing electricity demand and intermittent renewable energy sources pose challenges to the operation of power systems. An alternative to reinforcing the grid infrastructure is to deploy and manage distributed energy storage systems. In this work, a micro-energy market is proposed for smart domestic energy trading in the low-voltage distribution systems in the context of high penetration of photovoltaic systems and battery energy storage systems. In addition, a micro-balancing market is proposed to address the congestions due to unforeseen energy imbalance.Centralised and decentralised management strategies are simulated in real time, based on generation and demand forecasts. In addition, electric vehicles are also simulated as potential storage solutions to improve grid operation. A techno-economic evaluation informs key stakeholders, in particular grid operators on strategies for a sustainable implementation of the proposed strategies. The results show that the micro-energy market reduces the energy cost for all grid users by 4.1-20.2%, depending on their configuration. In addition, voltage deviation, peak electricity demand and reverse power flow have been reduced by 12.8%, 7.7% and 85.6% respectively, with the proposed management strategies. The micro-balancing market has been demonstrated to keep the voltage profile and thermal characteristic within the set limit in case of contingency. KEY WORDS Micro energy market, Micro balancing market, Centralised and decentralised energy management, Real-time optimisation HIGHLIGHTS -Micro energy market reduced user's electricity cost -Micro balancing market solved the network contingency -Micro markets reduced voltage deviation, peak demand and reverse power flow -The system operator benefitted from the decentralised management of batteries -Decentralised management provided optimal grid operation and benefit of users Nomenclature ANN BAU Artificial neural network Business as usual BESS Battery energy storage system

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Section: Discussion On Integration With Electric Vehiclesmentioning

confidence: 99%

Micro market based optimisation framework for decentralised management of distributed flexibility assets

Paladin

Das²,

Wang³

et al. 2021

Renewable Energy

Self Cite

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“…In contrast, EVs provide a unique energy storage capability to support renewable energy generation and the electricity grid. In fact, EVs can be suitably controlled to support a rooftop photovoltaic (PV) system in order to provide the household electricity demand and reduce the electricity bill [3]. This is made possible by Vehicle-to-Grid (V2G) technology.…”

Section: J O U R N a L P R E -P R O O Fmentioning

confidence: 99%

“…-Excessive power demand leads to higher current circulation, which causes increased network losses [3], [23], [33].…”

Section: Grid Net Exchangementioning

confidence: 99%

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Real-time multi-objective optimisation for electric vehicle charging management

Das

Wang

Busawon

et al. 2021

Journal of Cleaner Production

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“…A sudden increase on the demand caused by EVs caused by same time charging may cause problems [15]. Strategies for charging planning and optimization are presented in [16][17][18]. Optimal planning strategy should be presented along with network area limitations and requirements to design such reliable and efficient network.…”

Section: Introductionmentioning

confidence: 99%

Integration Analysis of Electric Vehicle Charging Station Equipped with Solar Power Plant to Distribution Network and Protection System Design

Turan¹,

Gökalp

2021

J. Electr. Eng. Technol.

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The improvements and implementation of new generation equipment to the conventional grids are increasing along with the increase of the number of renewable energy power plants and smart grid components. The existing grid infrastructure is required to be modified and upgraded as a result of the increasing integration of the renewables and new generation consumers where the availability of the existing networks has to be analyzed for integration as well. In order to keep the grid stable and integrate the renewables to the grid optimally, necessary analyses have to be realized including the investigation of the optimal integration criteria. During the integration phase of the new generation consumers and producers, two ways power flows and variable power production of renewables have to be considered for system design. In this study, analysis for optimal sizing and integration studies are performed for electric vehicle parking lot and solar power plants located on the campus distribution network considering optimal sizing criteria and the aim of stabilization of voltage regulation during day time operation of solar power plant and random charging profile of electric vehicles. The proposed network is equipped with adaptive protection system to ensure stability and the reliability of the distribution network in the concept of smart grid.

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A Smart Grid Modelling Tool for Evaluating Optimal Control of Electric Vehicles

Cited by 4 publications

References 12 publications

Micro market based optimisation framework for decentralised management of distributed flexibility assets

Micro market based optimisation framework for decentralised management of distributed flexibility assets

Real-time multi-objective optimisation for electric vehicle charging management

Integration Analysis of Electric Vehicle Charging Station Equipped with Solar Power Plant to Distribution Network and Protection System Design

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