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Techniques Employed in Renewable Energy Sources Fed Smart Grid—A Comparative Study

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Renewable Energy Towards Smart Grid

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 823))

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Abstract

The present circumstances of the era involve a vast increment in the need of power requirement due to increased technological developments, population and urbanization. The way in which power is obtained and transferred from the generating source to the consumers plays a major role, and this is done efficiently with the aid of smart grids that helps in regulating the supply from source to the grid. In this paper, a comparative study is made regarding the various techniques employed in the power flow management of Renewable Energy Systems (RES) facilitated by smart grid. For efficient power transfer smart meters and for power calculations multiple VSC’s are employed. With the aid of AIT, power governing is increased and by using HESS, the energy along with power density is improved. But certain issues occur in transferring the data amidst the machine. These issues are rectified by the use of IoT, which helps in safe transfer of information during data transfer. This transfer is made efficient with the aid of algorithms like Deep learning, Fuzzy, Neurofuzzy, etc. and hybrid optimization techniques are employed for attaining high efficiency and good accuracy of the system.

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Abbreviations

IoT:

Internet of Things

HESS:

Hybrid energy storage system

ESS:

Electric storage system

DR:

Demand response

HEPF:

Holomorphic embedded power flow

ACOPF:

AC optimal power flow

VSC:

Voltage source converter

DSO:

Distribution system operators

GPU:

Graphic processing unit

HAN:

Home area network

CAMPS:

Control and power management system

MMC:

Modular multilevel converter

EV:

Electric Vehicle

SOC:

State of charge

HEMS:

Home energy management systems

BLR:

Bayesian linear regression

HMS:

Hybrid multi-surrogate

GWO:

Grey wolf optimization

EM:

Energy management

PDN:

Power distribution networks

C&CG:

Column and constraint

DDUS:

Adaptive data-driven uncertainty sets

PCC:

Point of common coupling

DER:

Distributed energy resources

SCD:

Smart controller device

DSO:

Distribution substation operators

RL:

Reinforcement learning

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Author information

Authors and Affiliations

  1. Arasu Engineering College, Kumbakonam, India

    M. Nivedha

  2. K.Ramakrishnan College of Engineering, Trichy, India

    S. Titus

Authors
  1. M. Nivedha
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, National Institute of Technology Kurukshetra, Kurukshetra, India

    Ashwani Kumar

  2. Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, India

    S. C. Srivastava

  3. Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, India

    S. N. Singh

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Nivedha, M., Titus, S. (2022). Techniques Employed in Renewable Energy Sources Fed Smart Grid—A Comparative Study. In: Kumar, A., Srivastava, S.C., Singh, S.N. (eds) Renewable Energy Towards Smart Grid. Lecture Notes in Electrical Engineering, vol 823. Springer, Singapore. https://doi.org/10.1007/978-981-16-7472-3_10

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  • DOI: https://doi.org/10.1007/978-981-16-7472-3_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-7471-6

  • Online ISBN: 978-981-16-7472-3

  • eBook Packages: EnergyEnergy (R0)

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