Integration of electric vehicles with optimum sized storage for grid connected photo-voltaic system

Sulabh Sachan; Sulabh Sachan

doi:10.3934/energy.2017.6.997

AIMS Energy

2017, Volume 5, Issue 6: 997-1012. doi: 10.3934/energy.2017.6.997

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Research article

Integration of electric vehicles with optimum sized storage for grid connected photo-voltaic system

Sulabh Sachan ^,

Electrical Engineering Department, MNNIT Allahabad, India

Received: 08 September 2017 Accepted: 03 November 2017 Published: 14 December 2017

The necessity of energy storage by means of battery/EV is exceedingly expected in event of energy blackouts. Different advantages incorporate sparing the cash in purchasing top time power and support the grid when grid power is deficit against the load demand. In this paper, ideal size of energy storage in a grid associated photovoltaic (PV) framework is proposed. The methodology of energy flow choice is produced with the appraisal on accessibility of PV yield control and the load demand. The energy flow decision is changed by peak and off peak hours to shorten the functional cost of the grid associated PV framework with storage. Naturally, the quantities of electric vehicles that can be associated are resolved.
- distribution grid,
- energy storage,
- electric vehicle,
- photo voltaic system,
- cost-benefit analysis
Citation: Sulabh Sachan. Integration of electric vehicles with optimum sized storage for grid connected photo-voltaic system[J]. AIMS Energy, 2017, 5(6): 997-1012. doi: 10.3934/energy.2017.6.997

Related Papers:

Abstract

The necessity of energy storage by means of battery/EV is exceedingly expected in event of energy blackouts. Different advantages incorporate sparing the cash in purchasing top time power and support the grid when grid power is deficit against the load demand. In this paper, ideal size of energy storage in a grid associated photovoltaic (PV) framework is proposed. The methodology of energy flow choice is produced with the appraisal on accessibility of PV yield control and the load demand. The energy flow decision is changed by peak and off peak hours to shorten the functional cost of the grid associated PV framework with storage. Naturally, the quantities of electric vehicles that can be associated are resolved.

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