Integrated scheduling of renewable generation and electric vehicles parking lot in a smart microgrid

Honarmand, Masoud; Zakariazadeh, Alireza; Jadid, Shahram

doi:10.1016/j.enconman.2014.06.044

Cited by 200 publications

(86 citation statements)

References 46 publications

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“…La literatura es bastante diversa en cuanto a la integración entre los VE y las fuentes renovables de energía [10][11][12]. Los modelos que estudian esta integración tienden principalmente a medir la capacidad de relación entre ellos, así como los impactos en el rendimiento de la red eléctrica [13].…”

Section: Uso De Fuentes De Energía Renovable En Los Vebunclassified

Estudio técnico del uso de energía solar y biogás en vehículos eléctricos en Ilhabela-Brasil

Micena¹,

Llerena²,

Lamas³

et al. 2018

ings

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Actualmente, los sistemas híbridos de generación de energía se han mostrado como una excelente oportunidad para la generación de electricidad. En este trabajo se presenta el estudio de uno de estos sistemas considerando dos fuentes de energía disponibles (solar -- biogás) en la isla Ilhabela en el estado de San Pablo -- Brasil, con miras a dotar de energía a vehículos eléctricos. Este estudio se basa primeramente en el cálculo de la demanda de energía de los vehículos eléctricos en esta isla. Luego se determina la capacidad de producción de biogás en Ilhabela. Posteriormente se efectúa un análisis energético de la planta con una microturbina a biogás para conocer la energía producida y la demanda de biogás. Como último paso, se calcula la cantidad de energía necesaria a ser generada con la planta fotovoltaica. Los resultados muestran que, considerando un índice de inserción de mercado del 4 de los vehículos eléctricos, la demanda energética media es de 46 327 kWh/mes. Por otro lado, la capacidad de producción de biogás en la isla es dos veces mayor a la necesaria para generar 16 200 kWh/mes. Finalmente, la planta fotovoltaica producirá 30 127 kWh/mes.

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Section: Uso De Fuentes De Energía Renovable En Los Vebunclassified

Estudio técnico del uso de energía solar y biogás en vehículos eléctricos en Ilhabela-Brasil

Micena¹,

Llerena²,

Lamas³

et al. 2018

ings

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“…A comprehensive framework for this pricing scheme can be complicated, where the operator has to consider the energy that it buys from the upstream grid, which might be uncertain, and then sell it to consumers considering the proposed pricing scheme in this paper. This leads to a complex mathematical optimization, which is usually solved through a typical stochastic programming approach [9,[22][23][24][25]. Please note that this comprehensive framework is not the focus of our current …”

Section: Microgrid Pricing Schemementioning

confidence: 99%

“…Medians have shown better performance than averages, although they may remove good points. To overcome this issue, a type of fuzzy averaging is employed that puts the center prototype among the more densely situated points [2,9]. Consider {l (1) , .…”

Section: Clustering Processmentioning

confidence: 99%

Microgrids Real-Time Pricing Based on Clustering Techniques

Liu

Mahmoudi²,

Chen³

2018

Energies

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Microgrids are widely spreading in electricity markets worldwide. Besides the security and reliability concerns for these microgrids, their operators need to address consumers' pricing. Considering the growth of smart grids and smart meter facilities, it is expected that microgrids will have some level of flexibility to determine real-time pricing for at least some consumers. As such, the key challenge is finding an optimal pricing model for consumers. This paper, accordingly, proposes a new pricing scheme in which microgrids are able to deploy clustering techniques in order to understand their consumers' load profiles and then assign real-time prices based on their load profile patterns. An improved weighted fuzzy average k-means is proposed to cluster load curve of consumers in an optimal number of clusters, through which the load profile of each cluster is determined. Having obtained the load profile of each cluster, real-time prices are given to each cluster, which is the best price given to all consumers in that cluster.

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“…In their paper, they use a Particle Swarm Optimization to minimize emis sions and costs and for the uncertainties, scenarios are considered [18]. propose already a method for inte grating EVs into a smart grid with RES in a context of a parking lot [19] and additionally taking the battery condition into consider ation [20]. They have a closer look on reserve and energy sched uling using a MILP to minimize the operating costs.…”

Section: Related Workmentioning

confidence: 99%

“…They have a closer look on reserve and energy sched uling using a MILP to minimize the operating costs. They do not consider the probabilistic nature of EVs with respect to arrival and departure time [19]. In Figueiredo et al (2017) the charging process of EVs through solar energy in a car park is examined by applying a Genetic Algorithm Optimization to test different business models [21].…”

Section: Related Workmentioning

confidence: 99%

Integrating renewable energy sources by electric vehicle fleets under uncertainty

Seddig

Jochem

Fïchtner

2017

Energy

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a b s t r a c tElectric vehicles are one of the concepts towards green and sustainable transportation systems. However, several uncertainties with respect to electricity demand and availability of electric vehicles as well as electricity supply by renewable energy sources influence an optimal scheduling through smart charging strategies. This paper investigates the possibilities to integrate additionally loads of uncertain renewable energy sources by smart charging strategies of three different electric vehicle fleets namely, com mercial customers, commuters, and opportunity parkers. Therefore, data from an empiric field test with a public charging infrastructure in a parking garage with a photovoltaic system is taken. Various stra tegies are analyzed, considering the changing individual electricity demand, restrictions and parking times of electric vehicle fleets by combining a Monte Carlo simulation approach with different meth odologies like a heuristic algorithm, an optimization model and stochastic programming. The numerical results indicate that the domestic photovoltaic generation of the car park can be fully used by the electric vehicle fleets for charging and the utilization of photovoltaic can be doubled when comparing uncon trolled and optimized charging strategies. The commuter fleet has the highest CO 2 emission reduction potential of all three electric vehicle fleets. Moreover, load management decreases costs, even when uncertainties are considered.

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Integrated scheduling of renewable generation and electric vehicles parking lot in a smart microgrid

Cited by 200 publications

References 46 publications

Estudio técnico del uso de energía solar y biogás en vehículos eléctricos en Ilhabela-Brasil

Estudio técnico del uso de energía solar y biogás en vehículos eléctricos en Ilhabela-Brasil

Microgrids Real-Time Pricing Based on Clustering Techniques

Integrating renewable energy sources by electric vehicle fleets under uncertainty

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