Optimization-Based Cost Analysis for Energy Management System in Microgrids

Anu Prakash; Amit Saraswat; N. S. Jayalakshmi; Ashish Shrivastava

doi:10.1007/978-981-97-8429-5_8

Optimization-Based Cost Analysis for Energy Management System in Microgrids

Anu Prakash
, Amit Saraswat^*
, N. S. Jayalakshmi
, Ashish Shrivastava

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this work, a new practical approach for the widespread use of grid-connected renewable energy generation can be successfully implemented as a microgrid. Implementing the most efficient, secure, dependable, and synchronized use of renewable energy sources requires a microgrid System for Energy Management (EMS). This study describes the management of an (ESS) connected to a solar array in a microgrid that regulates battery discharge and charge operations using a converter in accordance with demand. The challenge of daily EM is underlined. The main focus of this work is on the investigation of heuristics and algorithmic for lowering the total variable power costs on clear and overcast days.

Original language	English
Title of host publication	Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2023
Editors	Anshuman Tripathi, Amit Soni, Manish Tiwari, Anil Swarnkar, Jagrati Sahariya
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	87-99
Number of pages	13
ISBN (Print)	9789819784288
DOIs	https://doi.org/10.1007/978-981-97-8429-5_8
Publication status	Published - 2025
Event	3rd International Conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023 - Jaipur, India Duration: 13-12-2023 → 14-12-2023

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1277
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	3rd International Conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023
Country/Territory	India
City	Jaipur
Period	13-12-23 → 14-12-23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-97-8429-5_8

Cite this

Prakash, A., Saraswat, A., Jayalakshmi, N. S., & Shrivastava, A. (2025). Optimization-Based Cost Analysis for Energy Management System in Microgrids. In A. Tripathi, A. Soni, M. Tiwari, A. Swarnkar, & J. Sahariya (Eds.), Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2023 (pp. 87-99). (Lecture Notes in Electrical Engineering; Vol. 1277). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-8429-5_8

Prakash, Anu ; Saraswat, Amit ; Jayalakshmi, N. S. et al. / Optimization-Based Cost Analysis for Energy Management System in Microgrids. Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2023. editor / Anshuman Tripathi ; Amit Soni ; Manish Tiwari ; Anil Swarnkar ; Jagrati Sahariya. Springer Science and Business Media Deutschland GmbH, 2025. pp. 87-99 (Lecture Notes in Electrical Engineering).

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title = "Optimization-Based Cost Analysis for Energy Management System in Microgrids",

abstract = "In this work, a new practical approach for the widespread use of grid-connected renewable energy generation can be successfully implemented as a microgrid. Implementing the most efficient, secure, dependable, and synchronized use of renewable energy sources requires a microgrid System for Energy Management (EMS). This study describes the management of an (ESS) connected to a solar array in a microgrid that regulates battery discharge and charge operations using a converter in accordance with demand. The challenge of daily EM is underlined. The main focus of this work is on the investigation of heuristics and algorithmic for lowering the total variable power costs on clear and overcast days.",

author = "Anu Prakash and Amit Saraswat and Jayalakshmi, \{N. S.\} and Ashish Shrivastava",

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Prakash, A, Saraswat, A, Jayalakshmi, NS & Shrivastava, A 2025, Optimization-Based Cost Analysis for Energy Management System in Microgrids. in A Tripathi, A Soni, M Tiwari, A Swarnkar & J Sahariya (eds), Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2023. Lecture Notes in Electrical Engineering, vol. 1277, Springer Science and Business Media Deutschland GmbH, pp. 87-99, 3rd International Conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023, Jaipur, India, 13-12-23. https://doi.org/10.1007/978-981-97-8429-5_8

Optimization-Based Cost Analysis for Energy Management System in Microgrids. / Prakash, Anu; Saraswat, Amit; Jayalakshmi, N. S. et al.
Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2023. ed. / Anshuman Tripathi; Amit Soni; Manish Tiwari; Anil Swarnkar; Jagrati Sahariya. Springer Science and Business Media Deutschland GmbH, 2025. p. 87-99 (Lecture Notes in Electrical Engineering; Vol. 1277).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Optimization-Based Cost Analysis for Energy Management System in Microgrids

AU - Prakash, Anu

AU - Saraswat, Amit

AU - Jayalakshmi, N. S.

AU - Shrivastava, Ashish

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

PY - 2025

Y1 - 2025

N2 - In this work, a new practical approach for the widespread use of grid-connected renewable energy generation can be successfully implemented as a microgrid. Implementing the most efficient, secure, dependable, and synchronized use of renewable energy sources requires a microgrid System for Energy Management (EMS). This study describes the management of an (ESS) connected to a solar array in a microgrid that regulates battery discharge and charge operations using a converter in accordance with demand. The challenge of daily EM is underlined. The main focus of this work is on the investigation of heuristics and algorithmic for lowering the total variable power costs on clear and overcast days.

AB - In this work, a new practical approach for the widespread use of grid-connected renewable energy generation can be successfully implemented as a microgrid. Implementing the most efficient, secure, dependable, and synchronized use of renewable energy sources requires a microgrid System for Energy Management (EMS). This study describes the management of an (ESS) connected to a solar array in a microgrid that regulates battery discharge and charge operations using a converter in accordance with demand. The challenge of daily EM is underlined. The main focus of this work is on the investigation of heuristics and algorithmic for lowering the total variable power costs on clear and overcast days.

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BT - Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2023

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ER -

Prakash A, Saraswat A, Jayalakshmi NS, Shrivastava A. Optimization-Based Cost Analysis for Energy Management System in Microgrids. In Tripathi A, Soni A, Tiwari M, Swarnkar A, Sahariya J, editors, Intelligent Computing Techniques for Smart Energy Systems - Proceedings of ICTSES 2023. Springer Science and Business Media Deutschland GmbH. 2025. p. 87-99. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-97-8429-5_8

Optimization-Based Cost Analysis for Energy Management System in Microgrids

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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