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Objectives and Constraints for Optimal Allocation of Distributed Energy Sources—A Review

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Intelligent Solutions for Smart Grids and Smart Cities (IPECS 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1022))

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Abstract

In terms of its potential to utilise alternative energy sources, distributed generation offers a bright scope for the power generation in power systems. The contribution of distributed generators to the power grid ranges from increased dependability and efficiency to increased security and power quality. These advantages can only be realised if distributed resources are allocated optimally, taking into account the objective function, limitations, and an appropriate optimization technique. The current work used a complete assessment of the effective allocation of distributed generators for various objectives, limitations, and techniques was employed in the present study. The present study focuses on how approaches and methods for optimal distributed generation allocation contribute to enhance the efficacy and precision.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Sri Ramakrishna Polytechnic College, Coimbatore, India

    C. K. Shankar

  2. Department of Electrical and Electronics Engineering, Sri Ramakrishna Engineering College, Coimbatore, India

    C. Kathirvel

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  1. C. K. Shankar
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Correspondence to C. K. Shankar .

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  1. Department of Management and Innovation Systems, University of Salerno, Fisciano, Salerno, Italy

    Pierluigi Siano

  2. Department of Electrical and Computer Engineering, University of Ontario Institute of Technology, Oshawa, ON, Canada

    Sheldon Williamson

  3. Department of Electrical and Electronics Engineering, TKM College of Engineering, Kollam, Kerala, India

    Sabeena Beevi

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Shankar, C.K., Kathirvel, C. (2023). Objectives and Constraints for Optimal Allocation of Distributed Energy Sources—A Review. In: Siano, P., Williamson, S., Beevi, S. (eds) Intelligent Solutions for Smart Grids and Smart Cities. IPECS 2022. Lecture Notes in Electrical Engineering, vol 1022. Springer, Singapore. https://doi.org/10.1007/978-981-99-0915-5_1

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